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Naghavi M, Ong KL, Aali A, Ababneh HS, Abate YH, Abbafati C, Abbasgholizadeh R, Abbasian M, Abbasi-Kangevari M, Abbastabar H, Abd ElHafeez S, Abdelmasseh M, Abd-Elsalam S, Abdelwahab A, Abdollahi M, Abdollahifar MA, Abdoun M, Abdulah DM, Abdullahi A, Abebe M, Abebe SS, Abedi A, Abegaz KH, Abhilash ES, Abidi H, Abiodun O, Aboagye RG, Abolhassani H, Abolmaali M, Abouzid M, Aboye GB, Abreu LG, Abrha WA, Abtahi D, Abu Rumeileh S, Abualruz H, Abubakar B, Abu-Gharbieh E, Abu-Rmeileh NME, Aburuz S, Abu-Zaid A, Accrombessi MMK, Adal TG, Adamu AA, Addo IY, Addolorato G, Adebiyi AO, Adekanmbi V, Adepoju AV, Adetunji CO, Adetunji JB, Adeyeoluwa TE, Adeyinka DA, Adeyomoye OI, Admass BAA, Adnani QES, Adra S, Afolabi AA, Afzal MS, Afzal S, Agampodi SB, Agasthi P, Aggarwal M, Aghamiri S, Agide FD, Agodi A, Agrawal A, Agyemang-Duah W, Ahinkorah BO, Ahmad A, Ahmad D, Ahmad F, Ahmad MM, Ahmad S, Ahmad S, Ahmad T, Ahmadi K, Ahmadzade AM, Ahmed A, Ahmed A, Ahmed H, Ahmed LA, Ahmed MS, Ahmed MS, Ahmed MB, 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K, Deng X, Denova-Gutiérrez E, Deravi N, Dereje N, Dervenis N, Dervišević E, Des Jarlais DC, Desai HD, Desai R, Devanbu VGC, Dewan SMR, Dhali A, Dhama K, Dhimal M, Dhingra S, Dhulipala VR, Dias da Silva D, Diaz D, Diaz MJ, Dima A, Ding DD, Ding H, Dinis-Oliveira RJ, Dirac MA, Djalalinia S, Do THP, do Prado CB, Doaei S, Dodangeh M, Dodangeh M, Dohare S, Dokova KG, Dolecek C, Dominguez RMV, Dong W, Dongarwar D, D'Oria M, Dorostkar F, Dorsey ER, dos Santos WM, Doshi R, Doshmangir L, Dowou RK, Driscoll TR, Dsouza HL, Dsouza V, Du M, Dube J, Duncan BB, Duraes AR, Duraisamy S, Durojaiye OC, Dwyer-Lindgren L, Dzianach PA, Dziedzic AM, E'mar AR, Eboreime E, Ebrahimi A, Echieh CP, Edinur HA, Edvardsson D, Edvardsson K, Efendi D, Efendi F, Effendi DE, Eikemo TA, Eini E, Ekholuenetale M, Ekundayo TC, El Sayed I, Elbarazi I, Elema TB, Elemam NM, Elgar FJ, Elgendy IY, ElGohary GMT, Elhabashy HR, Elhadi M, El-Huneidi W, Elilo LT, Elmeligy OAA, Elmonem MA, Elshaer M, Elsohaby I, Emeto TI, Engelbert 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Ghahramani S, Ghailan KY, Ghasemi MR, Ghasempour Dabaghi G, Ghasemzadeh A, Ghashghaee A, Ghassemi F, Ghazy RM, Ghimire A, Ghoba S, Gholamalizadeh M, Gholamian A, Gholamrezanezhad A, Gholizadeh N, Ghorbani M, Ghorbani Vajargah P, Ghoshal AG, Gill PS, Gill TK, Gillum RF, Ginindza TG, Girmay A, Glasbey JC, Gnedovskaya EV, Göbölös L, Godinho MA, Goel A, Golchin A, Goldust M, Golechha M, Goleij P, Gomes NGM, Gona PN, Gopalani SV, Gorini G, Goudarzi H, Goulart AC, Goulart BNG, Goyal A, Grada A, Graham SM, Grivna M, Grosso G, Guan SY, Guarducci G, Gubari MIM, Gudeta MD, Guha A, Guicciardi S, Guimarães RA, Gulati S, Gunawardane DA, Gunturu S, Guo C, Gupta AK, Gupta B, Gupta MK, Gupta M, Gupta RD, Gupta R, Gupta S, Gupta VB, Gupta VK, Gupta VK, Gurmessa L, Gutiérrez RA, Habibzadeh F, Habibzadeh P, Haddadi R, Hadei M, Hadi NR, Haep N, Hafezi-Nejad N, Hailu A, Haj-Mirzaian A, Halboub ES, Hall BJ, Haller S, Halwani R, Hamadeh RR, Hameed S, Hamidi S, Hamilton EB, Han C, Han Q, Hanif A, Hanifi N, 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A, Lai DTC, Lal DK, Lalloo R, Lallukka T, Lam H, Lám J, Landrum KR, Lanfranchi F, Lang JJ, Langguth B, Lansingh VC, Laplante-Lévesque A, Larijani B, Larsson AO, Lasrado S, Lassi ZS, Latief K, Latifinaibin K, Lauriola P, Le NHH, Le TTT, Le TDT, Ledda C, Ledesma JR, Lee M, Lee PH, Lee SW, Lee SWH, Lee WC, Lee YH, LeGrand KE, Leigh J, Leong E, Lerango TL, Li MC, Li W, Li X, Li Y, Li Z, Ligade VS, Likaka ATM, Lim LL, Lim SS, Lindstrom M, Linehan C, Liu C, Liu G, Liu J, Liu R, Liu S, Liu X, Liu X, Llanaj E, Loftus MJ, López-Bueno R, Lopukhov PD, Loreche AM, Lorkowski S, Lotufo PA, Lozano R, Lubinda J, Lucchetti G, Lugo A, Lunevicius R, Ma ZF, Maass KL, Machairas N, Machoy M, Madadizadeh F, Madsen C, Madureira-Carvalho ÁM, Maghazachi AA, Maharaj SB, Mahjoub S, Mahmoud MA, Mahmoudi A, Mahmoudi E, Mahmoudi R, Majeed A, Makhdoom IF, Malakan Rad E, Maled V, Malekzadeh R, Malhotra AK, Malhotra K, Malik AA, Malik I, Malta DC, Mamun AA, Mansouri P, Mansournia MA, Mantovani LG, Maqsood S, Marasini 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Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:2100-2132. [PMID: 38582094 DOI: 10.1016/s0140-6736(24)00367-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 02/15/2024] [Accepted: 02/22/2024] [Indexed: 04/08/2024]
Abstract
BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation.
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Burden of disease scenarios for 204 countries and territories, 2022-2050: a forecasting analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:2204-2256. [PMID: 38762325 DOI: 10.1016/s0140-6736(24)00685-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 03/29/2024] [Accepted: 04/02/2024] [Indexed: 05/20/2024]
Abstract
BACKGROUND Future trends in disease burden and drivers of health are of great interest to policy makers and the public at large. This information can be used for policy and long-term health investment, planning, and prioritisation. We have expanded and improved upon previous forecasts produced as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) and provide a reference forecast (the most likely future), and alternative scenarios assessing disease burden trajectories if selected sets of risk factors were eliminated from current levels by 2050. METHODS Using forecasts of major drivers of health such as the Socio-demographic Index (SDI; a composite measure of lag-distributed income per capita, mean years of education, and total fertility under 25 years of age) and the full set of risk factor exposures captured by GBD, we provide cause-specific forecasts of mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) by age and sex from 2022 to 2050 for 204 countries and territories, 21 GBD regions, seven super-regions, and the world. All analyses were done at the cause-specific level so that only risk factors deemed causal by the GBD comparative risk assessment influenced future trajectories of mortality for each disease. Cause-specific mortality was modelled using mixed-effects models with SDI and time as the main covariates, and the combined impact of causal risk factors as an offset in the model. At the all-cause mortality level, we captured unexplained variation by modelling residuals with an autoregressive integrated moving average model with drift attenuation. These all-cause forecasts constrained the cause-specific forecasts at successively deeper levels of the GBD cause hierarchy using cascading mortality models, thus ensuring a robust estimate of cause-specific mortality. For non-fatal measures (eg, low back pain), incidence and prevalence were forecasted from mixed-effects models with SDI as the main covariate, and YLDs were computed from the resulting prevalence forecasts and average disability weights from GBD. Alternative future scenarios were constructed by replacing appropriate reference trajectories for risk factors with hypothetical trajectories of gradual elimination of risk factor exposure from current levels to 2050. The scenarios were constructed from various sets of risk factors: environmental risks (Safer Environment scenario), risks associated with communicable, maternal, neonatal, and nutritional diseases (CMNNs; Improved Childhood Nutrition and Vaccination scenario), risks associated with major non-communicable diseases (NCDs; Improved Behavioural and Metabolic Risks scenario), and the combined effects of these three scenarios. Using the Shared Socioeconomic Pathways climate scenarios SSP2-4.5 as reference and SSP1-1.9 as an optimistic alternative in the Safer Environment scenario, we accounted for climate change impact on health by using the most recent Intergovernmental Panel on Climate Change temperature forecasts and published trajectories of ambient air pollution for the same two scenarios. Life expectancy and healthy life expectancy were computed using standard methods. The forecasting framework includes computing the age-sex-specific future population for each location and separately for each scenario. 95% uncertainty intervals (UIs) for each individual future estimate were derived from the 2·5th and 97·5th percentiles of distributions generated from propagating 500 draws through the multistage computational pipeline. FINDINGS In the reference scenario forecast, global and super-regional life expectancy increased from 2022 to 2050, but improvement was at a slower pace than in the three decades preceding the COVID-19 pandemic (beginning in 2020). Gains in future life expectancy were forecasted to be greatest in super-regions with comparatively low life expectancies (such as sub-Saharan Africa) compared with super-regions with higher life expectancies (such as the high-income super-region), leading to a trend towards convergence in life expectancy across locations between now and 2050. At the super-region level, forecasted healthy life expectancy patterns were similar to those of life expectancies. Forecasts for the reference scenario found that health will improve in the coming decades, with all-cause age-standardised DALY rates decreasing in every GBD super-region. The total DALY burden measured in counts, however, will increase in every super-region, largely a function of population ageing and growth. We also forecasted that both DALY counts and age-standardised DALY rates will continue to shift from CMNNs to NCDs, with the most pronounced shifts occurring in sub-Saharan Africa (60·1% [95% UI 56·8-63·1] of DALYs were from CMNNs in 2022 compared with 35·8% [31·0-45·0] in 2050) and south Asia (31·7% [29·2-34·1] to 15·5% [13·7-17·5]). This shift is reflected in the leading global causes of DALYs, with the top four causes in 2050 being ischaemic heart disease, stroke, diabetes, and chronic obstructive pulmonary disease, compared with 2022, with ischaemic heart disease, neonatal disorders, stroke, and lower respiratory infections at the top. The global proportion of DALYs due to YLDs likewise increased from 33·8% (27·4-40·3) to 41·1% (33·9-48·1) from 2022 to 2050, demonstrating an important shift in overall disease burden towards morbidity and away from premature death. The largest shift of this kind was forecasted for sub-Saharan Africa, from 20·1% (15·6-25·3) of DALYs due to YLDs in 2022 to 35·6% (26·5-43·0) in 2050. In the assessment of alternative future scenarios, the combined effects of the scenarios (Safer Environment, Improved Childhood Nutrition and Vaccination, and Improved Behavioural and Metabolic Risks scenarios) demonstrated an important decrease in the global burden of DALYs in 2050 of 15·4% (13·5-17·5) compared with the reference scenario, with decreases across super-regions ranging from 10·4% (9·7-11·3) in the high-income super-region to 23·9% (20·7-27·3) in north Africa and the Middle East. The Safer Environment scenario had its largest decrease in sub-Saharan Africa (5·2% [3·5-6·8]), the Improved Behavioural and Metabolic Risks scenario in north Africa and the Middle East (23·2% [20·2-26·5]), and the Improved Nutrition and Vaccination scenario in sub-Saharan Africa (2·0% [-0·6 to 3·6]). INTERPRETATION Globally, life expectancy and age-standardised disease burden were forecasted to improve between 2022 and 2050, with the majority of the burden continuing to shift from CMNNs to NCDs. That said, continued progress on reducing the CMNN disease burden will be dependent on maintaining investment in and policy emphasis on CMNN disease prevention and treatment. Mostly due to growth and ageing of populations, the number of deaths and DALYs due to all causes combined will generally increase. By constructing alternative future scenarios wherein certain risk exposures are eliminated by 2050, we have shown that opportunities exist to substantially improve health outcomes in the future through concerted efforts to prevent exposure to well established risk factors and to expand access to key health interventions. FUNDING Bill & Melinda Gates Foundation.
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Yehualashet SS, Yesuf SA, Yezli S, Yiğit A, Yiğit V, Yigzaw ZA, Yismaw Y, Yon DK, Yonemoto N, Younis MZ, Yu C, Yu Y, Yusuf H, Zahid MH, Zakham F, Zaki L, Zaki N, Zaman BA, Zamora N, Zand R, Zandieh GGZ, Zar HJ, Zarrintan A, Zastrozhin MS, Zhang H, Zhang N, Zhang Y, Zhao H, Zhong C, Zhong P, Zhou J, Zhu Z, Ziafati M, Zielińska M, Zimsen SRM, Zoladl M, Zumla A, Zyoud SH, Vos T, Murray CJL. Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:2133-2161. [PMID: 38642570 DOI: 10.1016/s0140-6736(24)00757-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 03/07/2024] [Accepted: 04/12/2024] [Indexed: 04/22/2024]
Abstract
BACKGROUND Detailed, comprehensive, and timely reporting on population health by underlying causes of disability and premature death is crucial to understanding and responding to complex patterns of disease and injury burden over time and across age groups, sexes, and locations. The availability of disease burden estimates can promote evidence-based interventions that enable public health researchers, policy makers, and other professionals to implement strategies that can mitigate diseases. It can also facilitate more rigorous monitoring of progress towards national and international health targets, such as the Sustainable Development Goals. For three decades, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) has filled that need. A global network of collaborators contributed to the production of GBD 2021 by providing, reviewing, and analysing all available data. GBD estimates are updated routinely with additional data and refined analytical methods. GBD 2021 presents, for the first time, estimates of health loss due to the COVID-19 pandemic. METHODS The GBD 2021 disease and injury burden analysis estimated years lived with disability (YLDs), years of life lost (YLLs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries using 100 983 data sources. Data were extracted from vital registration systems, verbal autopsies, censuses, household surveys, disease-specific registries, health service contact data, and other sources. YLDs were calculated by multiplying cause-age-sex-location-year-specific prevalence of sequelae by their respective disability weights, for each disease and injury. YLLs were calculated by multiplying cause-age-sex-location-year-specific deaths by the standard life expectancy at the age that death occurred. DALYs were calculated by summing YLDs and YLLs. HALE estimates were produced using YLDs per capita and age-specific mortality rates by location, age, sex, year, and cause. 95% uncertainty intervals (UIs) were generated for all final estimates as the 2·5th and 97·5th percentiles values of 500 draws. Uncertainty was propagated at each step of the estimation process. Counts and age-standardised rates were calculated globally, for seven super-regions, 21 regions, 204 countries and territories (including 21 countries with subnational locations), and 811 subnational locations, from 1990 to 2021. Here we report data for 2010 to 2021 to highlight trends in disease burden over the past decade and through the first 2 years of the COVID-19 pandemic. FINDINGS Global DALYs increased from 2·63 billion (95% UI 2·44-2·85) in 2010 to 2·88 billion (2·64-3·15) in 2021 for all causes combined. Much of this increase in the number of DALYs was due to population growth and ageing, as indicated by a decrease in global age-standardised all-cause DALY rates of 14·2% (95% UI 10·7-17·3) between 2010 and 2019. Notably, however, this decrease in rates reversed during the first 2 years of the COVID-19 pandemic, with increases in global age-standardised all-cause DALY rates since 2019 of 4·1% (1·8-6·3) in 2020 and 7·2% (4·7-10·0) in 2021. In 2021, COVID-19 was the leading cause of DALYs globally (212·0 million [198·0-234·5] DALYs), followed by ischaemic heart disease (188·3 million [176·7-198·3]), neonatal disorders (186·3 million [162·3-214·9]), and stroke (160·4 million [148·0-171·7]). However, notable health gains were seen among other leading communicable, maternal, neonatal, and nutritional (CMNN) diseases. Globally between 2010 and 2021, the age-standardised DALY rates for HIV/AIDS decreased by 47·8% (43·3-51·7) and for diarrhoeal diseases decreased by 47·0% (39·9-52·9). Non-communicable diseases contributed 1·73 billion (95% UI 1·54-1·94) DALYs in 2021, with a decrease in age-standardised DALY rates since 2010 of 6·4% (95% UI 3·5-9·5). Between 2010 and 2021, among the 25 leading Level 3 causes, age-standardised DALY rates increased most substantially for anxiety disorders (16·7% [14·0-19·8]), depressive disorders (16·4% [11·9-21·3]), and diabetes (14·0% [10·0-17·4]). Age-standardised DALY rates due to injuries decreased globally by 24·0% (20·7-27·2) between 2010 and 2021, although improvements were not uniform across locations, ages, and sexes. Globally, HALE at birth improved slightly, from 61·3 years (58·6-63·6) in 2010 to 62·2 years (59·4-64·7) in 2021. However, despite this overall increase, HALE decreased by 2·2% (1·6-2·9) between 2019 and 2021. INTERPRETATION Putting the COVID-19 pandemic in the context of a mutually exclusive and collectively exhaustive list of causes of health loss is crucial to understanding its impact and ensuring that health funding and policy address needs at both local and global levels through cost-effective and evidence-based interventions. A global epidemiological transition remains underway. Our findings suggest that prioritising non-communicable disease prevention and treatment policies, as well as strengthening health systems, continues to be crucially important. The progress on reducing the burden of CMNN diseases must not stall; although global trends are improving, the burden of CMNN diseases remains unacceptably high. Evidence-based interventions will help save the lives of young children and mothers and improve the overall health and economic conditions of societies across the world. Governments and multilateral organisations should prioritise pandemic preparedness planning alongside efforts to reduce the burden of diseases and injuries that will strain resources in the coming decades. FUNDING Bill & Melinda Gates Foundation.
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Solaimanian S, Solanki R, Solanki S, Soliman SSM, Somayaji R, Song Y, Sorensen RJD, Soriano JB, Soyiri IN, Spartalis M, Spearman S, Spencer CN, Sreeramareddy CT, Stachteas P, Stafford LK, Stanaway JD, Stanikzai MH, Stein C, Stein DJ, Steinbeis F, Steiner C, Steinke S, Steiropoulos P, Stockfelt L, Stokes MA, Straif K, Stranges S, Subedi N, Subramaniyan V, Suleman M, Suliankatchi Abdulkader R, Sundström J, Sunkersing D, Sunnerhagen KS, Suresh V, Swain CK, Szarpak L, Szeto MD, Tabaee Damavandi P, Tabarés-Seisdedos R, Tabatabaei SM, Tabatabaei Malazy O, Tabatabaeizadeh SA, Tabatabai S, Tabche C, Tabish M, Tadakamadla SK, Taheri Abkenar Y, Taheri Soodejani M, Taherkhani A, Taiba J, Takahashi K, Talaat IM, Tamuzi JL, Tan KK, Tang H, Tat NY, Taveira N, Tefera YM, Tehrani-Banihashemi A, Temesgen WA, Temsah MH, Teramoto M, Terefa DR, Teye-Kwadjo E, Thakur R, Thangaraju P, Thankappan KR, Thapar R, Thayakaran R, Thirunavukkarasu S, Thomas N, Thomas NK, Tian J, Tichopad A, Ticoalu JHV, Tiruye TY, Tobe-Gai R, Tolani MA, Tolossa T, Tonelli M, Topor-Madry R, Topouzis F, Touvier M, Tovani-Palone MR, Trabelsi K, Tran JT, Tran MTN, Tran NM, Trico D, Trihandini I, Troeger CE, Tromans SJ, Truyen TTTT, Tsatsakis A, Tsermpini EE, Tumurkhuu M, Udoakang AJ, Udoh A, Ullah A, Ullah S, Ullah S, Umair M, Umakanthan S, Unim B, Unnikrishnan B, Upadhyay E, Urso D, Usman JS, Vaithinathan AG, Vakili O, Valenti M, Valizadeh R, Van den Eynde J, van Donkelaar A, Varga O, Vart P, Varthya SB, Vasankari TJ, Vasic M, Vaziri S, Venketasubramanian N, Verghese NA, Verma M, Veroux M, Verras GI, Vervoort D, Villafañe JH, Villalobos-Daniel VE, Villani L, Villanueva GI, Vinayak M, Violante FS, Vlassov V, Vo B, Vollset SE, Volovat SR, Vos T, Vujcic IS, Waheed Y, Wang C, Wang F, Wang S, Wang Y, Wang YP, Wanjau MN, Waqas M, Ward P, Waris A, Wassie EG, Weerakoon KG, Weintraub RG, Weiss DJ, Weiss EJ, Weldetinsaa HLL, Wells KM, Wen YF, Wiangkham T, Wickramasinghe ND, Wilkerson C, Willeit P, Wilson S, Wong YJ, Wongsin U, Wozniak S, Wu C, Wu D, Wu F, Wu Z, Xia J, Xiao H, Xu S, Xu X, Xu YY, Yadav MK, Yaghoubi S, Yamagishi K, Yang L, Yano Y, Yaribeygi H, Yasufuku Y, Ye P, Yesodharan R, Yesuf SA, Yezli S, Yi S, Yiğit A, Yigzaw ZA, Yin D, Yip P, Yismaw MB, Yon DK, Yonemoto N, You Y, Younis MZ, Yousefi Z, Yu C, Yu Y, Zadey S, Zadnik V, Zakham F, Zaki N, Zakzuk J, Zamagni G, Zaman SB, Zandieh GGZ, Zanghì A, Zar HJ, Zare I, Zarimeidani F, Zastrozhin MS, Zeng Y, Zhai C, Zhang AL, Zhang H, Zhang L, Zhang M, Zhang Y, Zhang Z, Zhang ZJ, Zhao H, Zhao JT, Zhao XJG, Zhao Y, Zhao Y, Zhong C, Zhou J, Zhou J, Zhou S, Zhu B, Zhu L, Zhu Z, Ziaeian B, Ziafati M, Zielińska M, Zimsen SRM, Zoghi G, Zoller T, Zumla A, Zyoud SH, Zyoud SH, Murray CJL, Gakidou E. Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:2162-2203. [PMID: 38762324 DOI: 10.1016/s0140-6736(24)00933-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 03/11/2024] [Accepted: 05/02/2024] [Indexed: 05/20/2024]
Abstract
BACKGROUND Understanding the health consequences associated with exposure to risk factors is necessary to inform public health policy and practice. To systematically quantify the contributions of risk factor exposures to specific health outcomes, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 aims to provide comprehensive estimates of exposure levels, relative health risks, and attributable burden of disease for 88 risk factors in 204 countries and territories and 811 subnational locations, from 1990 to 2021. METHODS The GBD 2021 risk factor analysis used data from 54 561 total distinct sources to produce epidemiological estimates for 88 risk factors and their associated health outcomes for a total of 631 risk-outcome pairs. Pairs were included on the basis of data-driven determination of a risk-outcome association. Age-sex-location-year-specific estimates were generated at global, regional, and national levels. Our approach followed the comparative risk assessment framework predicated on a causal web of hierarchically organised, potentially combinative, modifiable risks. Relative risks (RRs) of a given outcome occurring as a function of risk factor exposure were estimated separately for each risk-outcome pair, and summary exposure values (SEVs), representing risk-weighted exposure prevalence, and theoretical minimum risk exposure levels (TMRELs) were estimated for each risk factor. These estimates were used to calculate the population attributable fraction (PAF; ie, the proportional change in health risk that would occur if exposure to a risk factor were reduced to the TMREL). The product of PAFs and disease burden associated with a given outcome, measured in disability-adjusted life-years (DALYs), yielded measures of attributable burden (ie, the proportion of total disease burden attributable to a particular risk factor or combination of risk factors). Adjustments for mediation were applied to account for relationships involving risk factors that act indirectly on outcomes via intermediate risks. Attributable burden estimates were stratified by Socio-demographic Index (SDI) quintile and presented as counts, age-standardised rates, and rankings. To complement estimates of RR and attributable burden, newly developed burden of proof risk function (BPRF) methods were applied to yield supplementary, conservative interpretations of risk-outcome associations based on the consistency of underlying evidence, accounting for unexplained heterogeneity between input data from different studies. Estimates reported represent the mean value across 500 draws from the estimate's distribution, with 95% uncertainty intervals (UIs) calculated as the 2·5th and 97·5th percentile values across the draws. FINDINGS Among the specific risk factors analysed for this study, particulate matter air pollution was the leading contributor to the global disease burden in 2021, contributing 8·0% (95% UI 6·7-9·4) of total DALYs, followed by high systolic blood pressure (SBP; 7·8% [6·4-9·2]), smoking (5·7% [4·7-6·8]), low birthweight and short gestation (5·6% [4·8-6·3]), and high fasting plasma glucose (FPG; 5·4% [4·8-6·0]). For younger demographics (ie, those aged 0-4 years and 5-14 years), risks such as low birthweight and short gestation and unsafe water, sanitation, and handwashing (WaSH) were among the leading risk factors, while for older age groups, metabolic risks such as high SBP, high body-mass index (BMI), high FPG, and high LDL cholesterol had a greater impact. From 2000 to 2021, there was an observable shift in global health challenges, marked by a decline in the number of all-age DALYs broadly attributable to behavioural risks (decrease of 20·7% [13·9-27·7]) and environmental and occupational risks (decrease of 22·0% [15·5-28·8]), coupled with a 49·4% (42·3-56·9) increase in DALYs attributable to metabolic risks, all reflecting ageing populations and changing lifestyles on a global scale. Age-standardised global DALY rates attributable to high BMI and high FPG rose considerably (15·7% [9·9-21·7] for high BMI and 7·9% [3·3-12·9] for high FPG) over this period, with exposure to these risks increasing annually at rates of 1·8% (1·6-1·9) for high BMI and 1·3% (1·1-1·5) for high FPG. By contrast, the global risk-attributable burden and exposure to many other risk factors declined, notably for risks such as child growth failure and unsafe water source, with age-standardised attributable DALYs decreasing by 71·5% (64·4-78·8) for child growth failure and 66·3% (60·2-72·0) for unsafe water source. We separated risk factors into three groups according to trajectory over time: those with a decreasing attributable burden, due largely to declining risk exposure (eg, diet high in trans-fat and household air pollution) but also to proportionally smaller child and youth populations (eg, child and maternal malnutrition); those for which the burden increased moderately in spite of declining risk exposure, due largely to population ageing (eg, smoking); and those for which the burden increased considerably due to both increasing risk exposure and population ageing (eg, ambient particulate matter air pollution, high BMI, high FPG, and high SBP). INTERPRETATION Substantial progress has been made in reducing the global disease burden attributable to a range of risk factors, particularly those related to maternal and child health, WaSH, and household air pollution. Maintaining efforts to minimise the impact of these risk factors, especially in low SDI locations, is necessary to sustain progress. Successes in moderating the smoking-related burden by reducing risk exposure highlight the need to advance policies that reduce exposure to other leading risk factors such as ambient particulate matter air pollution and high SBP. Troubling increases in high FPG, high BMI, and other risk factors related to obesity and metabolic syndrome indicate an urgent need to identify and implement interventions. FUNDING Bill & Melinda Gates Foundation.
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Parthasarathi A, Pashaei A, Pasupula DK, Patel JR, Patel SK, Pathan AR, Patil A, Patil S, Patoulias D, Patthipati VS, Paudel U, Pawar S, Pazoki Toroudi H, Pease SA, Peden AE, Pedersini P, Peng M, Pensato U, Pepito VCF, Peprah EK, Pereira G, Pereira J, Pereira M, Peres MFP, Perianayagam A, Perico N, Petcu IR, Petermann-Rocha FE, Pezzani R, Pham HT, Phillips MR, Pierannunzio D, Pigeolet M, Pigott DM, Pilgrim T, Pinheiro M, Piradov MA, Plakkal N, Plotnikov E, Poddighe D, Pollner P, Poluru R, Pond CD, Postma MJ, Poudel GR, Poudel L, Pourali G, Pourtaheri N, Prada SI, Pradhan PMS, Prajapati VK, Prakash V, Prasad CP, Prasad M, Prashant A, Prates EJS, Purnobasuki H, Purohit BM, Puvvula J, Qaisar R, Qasim NH, Qattea I, Qian G, Quan NK, Radfar A, Radhakrishnan V, Raee P, Raeisi Shahraki H, Rafiei Alavi SN, Rafique I, Raggi A, Rahim F, Rahman MM, Rahman M, Rahman MA, Rahman T, Rahmani AM, Rahmani S, Rahnavard N, Rai P, Rajaa S, Rajabpour-Sanati A, Rajput P, Ram P, Ramadan H, Ramasamy SK, Ramazanu S, Rana J, Rana K, Ranabhat CL, Rancic N, Rani S, Ranjan S, Rao CR, Rao IR, Rao M, Rao SJ, Rasali DP, Rasella D, Rashedi S, Rashedi V, Rashid AM, Rasouli-Saravani A, Rastogi P, Rasul A, Ravangard R, Ravikumar N, Rawaf DL, Rawaf S, Rawassizadeh R, Razeghian-Jahromi I, Reddy MMRK, Redwan EMM, Rehman FU, Reiner Jr RC, Remuzzi G, Reshmi B, Resnikoff S, Reyes LF, Rezaee M, Rezaei N, Rezaei N, Rezaeian M, Riaz MA, Ribeiro AI, Ribeiro DC, Rickard J, Rios-Blancas MJ, Robinson-Oden HE, Rodrigues M, Rodriguez JAB, Roever L, Rohilla R, Rohloff P, Romadlon DS, Ronfani L, Roshandel G, Roshanzamir S, Rostamian M, Roy B, Roy P, Rubagotti E, Rumisha SF, Rwegerera GM, Rynkiewicz A, S M, S N C, S Sunnerhagen K, Saad AMA, Sabbatucci M, Saber K, Saber-Ayad MM, Sacco S, Saddik B, Saddler A, Sadee BA, Sadeghi E, Sadeghi M, Sadeghian S, Saeed U, Saeedi M, Safi S, Sagar R, Saghazadeh A, Saheb Sharif-Askari N, Sahoo SS, Sahraian MA, Sajedi SA, Sajid MR, Sakshaug JW, Salahi S, Salahi S, Salamati P, Salami AA, Salaroli LB, Saleh MA, Salehi S, Salem MR, Salem MZY, Salimi S, Samadi Kafil H, Samadzadeh S, Samara KA, Samargandy S, Samodra YL, Samuel VP, Samy AM, Sanabria J, Sanadgol N, Sanganyado E, Sanjeev RK, Sanmarchi F, Sanna F, Santri IN, Santric-Milicevic MM, Sarasmita MA, Saravanan A, Saravi B, Sarikhani Y, Sarkar C, Sarmiento-Suárez R, Sarode GS, Sarode SC, Sarveazad A, Sathian B, Sathish T, Sattin D, Saulam J, Sawyer SM, Saxena S, Saya GK, Sayadi Y, Sayeed A, Sayeed MA, Saylan M, Scarmeas N, Schaarschmidt BM, Schlee W, Schmidt MI, Schuermans A, Schwebel DC, Schwendicke F, Šekerija M, Selvaraj S, Semreen MH, Senapati S, Sengupta P, Senthilkumaran S, Sepanlou SG, Serban D, Sertsu A, Sethi Y, SeyedAlinaghi S, Seyedi SA, Shafaat A, Shafaat O, Shafie M, Shafiee A, Shah NS, Shah PA, Shahabi S, Shahbandi A, Shahid I, Shahid S, Shahid W, Shahwan MJ, Shaikh MA, Shakeri A, Shakil H, Sham S, Shamim MA, Shams-Beyranvand M, Shamshad H, Shamshirgaran MA, Shamsi MA, Shanawaz M, Shankar A, Sharfaei S, Sharifan A, Shariff M, Sharifi-Rad J, Sharma M, Sharma R, Sharma S, Sharma V, Shastry RP, Shavandi A, Shaw DH, Shayan AM, Shehabeldine AME, Sheikh A, Sheikhi RA, Shen J, Shenoy MM, Shetty BSK, Shetty RS, Shey RA, Shiani A, Shibuya K, Shiferaw D, Shigematsu M, Shin JI, Shin MJ, Shiri R, Shirkoohi R, Shittu A, Shiue I, Shivakumar KM, Shivarov V, Shool S, Shrestha S, Shuja KH, Shuval K, Si Y, Sibhat MM, Siddig EE, Sigfusdottir ID, Silva JP, Silva LMLR, Silva S, Simões JP, Simpson CR, Singal A, Singh A, Singh A, Singh A, Singh BB, Singh B, Singh M, Singh M, Singh NP, Singh P, Singh S, Siraj MS, Sitas F, Sivakumar S, Skryabin VY, Skryabina AA, Sleet DA, Slepak ELN, Sohrabi H, Soleimani H, Soliman SSM, Solmi M, Solomon Y, Song Y, Sorensen RJD, Soriano JB, Soyiri IN, Spartalis M, Sreeramareddy CT, Starnes JR, Starodubov VI, Starodubova AV, Stefan SC, Stein DJ, Steinbeis F, Steiropoulos P, Stockfelt L, Stokes MA, Stortecky S, Stranges S, Stroumpoulis K, Suleman M, Suliankatchi Abdulkader R, Sultana A, Sun J, Sunkersing D, Susanty S, Swain CK, Sykes BL, Szarpak L, Szeto MD, Szócska M, Tabaee Damavandi P, Tabatabaei Malazy O, Tabatabaeizadeh SA, Tabatabai S, Tabb KM, Tabish M, Taborda-Barata LM, Tabuchi T, Tadesse BT, Taheri A, Taheri Abkenar Y, Taheri Soodejani M, Taherkhani A, Taiba J, Tajbakhsh A, Talaat IM, Talukder A, Tamuzi JL, Tan KK, Tang H, Tang HK, Tat NY, Tat VY, Tavakoli Oliaee R, Tavangar SM, Taveira N, Tebeje TM, Tefera YM, Teimoori M, Temsah MH, Temsah RMH, Teramoto M, Tesfaye SH, Thangaraju P, Thankappan KR, Thapa R, Thapar R, Thomas N, Thrift AG, Thum CCC, Tian J, Tichopad A, Ticoalu JHV, Tiruye TY, Tohidast SA, Tonelli M, Touvier M, Tovani-Palone MR, Tram KH, Tran NM, Trico D, Trihandini I, Tromans SJ, Truong VT, Truyen TTTT, Tsermpini EE, Tumurkhuu M, Tung K, Tyrovolas S, Ubah CS, Udoakang AJ, Udoh A, Ulhaq I, Ullah S, Ullah S, Umair M, Umar TP, Umeokonkwo CD, Umesh A, Unim B, Unnikrishnan B, Upadhyay E, Urso D, Vacante M, Vahdani AM, Vaithinathan AG, Valadan Tahbaz S, Valizadeh R, Van den Eynde J, Varavikova E, Varga O, Varma SA, Vart P, Varthya SB, Vasankari TJ, Veerman LJ, Venketasubramanian N, Venugopal D, Verghese NA, Verma M, Verma P, Veroux M, Verras GI, Vervoort D, Vieira RJ, Villafañe JH, Villani L, Villanueva GI, Villeneuve PJ, Violante FS, Visontay R, Vlassov V, Vo B, Vollset SE, Volovat SR, Volovici V, Vongpradith A, Vos T, Vujcic IS, Vukovic R, Wado YD, Wafa HA, Waheed Y, Wamai RG, Wang C, Wang D, Wang F, Wang S, Wang S, Wang Y, Wang YP, Ward P, Watson S, Weaver MR, Weerakoon KG, Weiss DJ, Weldemariam AH, Wells KM, Wen YF, Werdecker A, Westerman R, Wickramasinghe DP, Wickramasinghe ND, Wijeratne T, Wilson S, Wojewodzic MW, Wool EE, Woolf AD, Wu D, Wulandari RD, Xiao H, Xu B, Xu X, Yadav L, Yaghoubi S, Yang L, Yano Y, Yao Y, Ye P, Yesera GE, Yesodharan R, Yesuf SA, Yiğit A, Yiğit V, Yip P, Yon DK, Yonemoto N, You Y, Younis MZ, Yu C, Zadey S, Zadnik V, Zafari N, Zahedi M, Zahid MN, Zahir M, Zakham F, Zaki N, Zakzuk J, Zamagni G, Zaman BA, Zaman SB, Zamora N, Zand R, Zandi M, Zandieh GGZ, Zanghì A, Zare I, Zastrozhin MS, Zeariya MGM, Zeng Y, Zhai C, Zhang C, Zhang H, Zhang H, Zhang Y, Zhang Z, Zhang Z, Zhao H, Zhao Y, Zhao Y, Zheng P, Zhong C, Zhou J, Zhu B, Zhu Z, Ziaeefar P, Zielińska M, Zou Z, Zumla A, Zweck E, Zyoud SH, Lim SS, Murray CJL. Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950-2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:1989-2056. [PMID: 38484753 DOI: 10.1016/s0140-6736(24)00476-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 12/08/2023] [Accepted: 03/06/2024] [Indexed: 04/13/2024]
Abstract
BACKGROUND Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020-21 COVID-19 pandemic period. METHODS 22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution. FINDINGS Global all-cause mortality followed two distinct patterns over the study period: age-standardised mortality rates declined between 1950 and 2019 (a 62·8% [95% UI 60·5-65·1] decline), and increased during the COVID-19 pandemic period (2020-21; 5·1% [0·9-9·6] increase). In contrast with the overall reverse in mortality trends during the pandemic period, child mortality continued to decline, with 4·66 million (3·98-5·50) global deaths in children younger than 5 years in 2021 compared with 5·21 million (4·50-6·01) in 2019. An estimated 131 million (126-137) people died globally from all causes in 2020 and 2021 combined, of which 15·9 million (14·7-17·2) were due to the COVID-19 pandemic (measured by excess mortality, which includes deaths directly due to SARS-CoV-2 infection and those indirectly due to other social, economic, or behavioural changes associated with the pandemic). Excess mortality rates exceeded 150 deaths per 100 000 population during at least one year of the pandemic in 80 countries and territories, whereas 20 nations had a negative excess mortality rate in 2020 or 2021, indicating that all-cause mortality in these countries was lower during the pandemic than expected based on historical trends. Between 1950 and 2021, global life expectancy at birth increased by 22·7 years (20·8-24·8), from 49·0 years (46·7-51·3) to 71·7 years (70·9-72·5). Global life expectancy at birth declined by 1·6 years (1·0-2·2) between 2019 and 2021, reversing historical trends. An increase in life expectancy was only observed in 32 (15·7%) of 204 countries and territories between 2019 and 2021. The global population reached 7·89 billion (7·67-8·13) people in 2021, by which time 56 of 204 countries and territories had peaked and subsequently populations have declined. The largest proportion of population growth between 2020 and 2021 was in sub-Saharan Africa (39·5% [28·4-52·7]) and south Asia (26·3% [9·0-44·7]). From 2000 to 2021, the ratio of the population aged 65 years and older to the population aged younger than 15 years increased in 188 (92·2%) of 204 nations. INTERPRETATION Global adult mortality rates markedly increased during the COVID-19 pandemic in 2020 and 2021, reversing past decreasing trends, while child mortality rates continued to decline, albeit more slowly than in earlier years. Although COVID-19 had a substantial impact on many demographic indicators during the first 2 years of the pandemic, overall global health progress over the 72 years evaluated has been profound, with considerable improvements in mortality and life expectancy. Additionally, we observed a deceleration of global population growth since 2017, despite steady or increasing growth in lower-income countries, combined with a continued global shift of population age structures towards older ages. These demographic changes will likely present future challenges to health systems, economies, and societies. The comprehensive demographic estimates reported here will enable researchers, policy makers, health practitioners, and other key stakeholders to better understand and address the profound changes that have occurred in the global health landscape following the first 2 years of the COVID-19 pandemic, and longer-term trends beyond the pandemic. FUNDING Bill & Melinda Gates Foundation.
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Ribeiro NG, Lelis DF, Griep RH, Barreto SM, Molina MDCB, Schmidt MI, Duncan BB, Bensenor I, Lotufo PA, Mill JG, Baldo MP. Salt Intake in Adults with Diabetes and Hypertension: The Longitudinal Study of Adult Health-Brasil Study. Metab Syndr Relat Disord 2024. [PMID: 38563778 DOI: 10.1089/met.2023.0304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024] Open
Abstract
Background and Objective: Hypertension and type-2 diabetes are strong risk factors for cardiovascular diseases, and their management requires lifestyle changes, including a shift in dietary habits. The consumption of salt has increased in the last decades in some countries, but its association with type-2 diabetes remains unknown. Thus, we aimed to estimate the amount of salt intake among adults with and without diabetes and to assess whether concomitant hypertension and diabetes are associated with higher salt intake. Methods: Data from 11,982 adults 35-74 years of age enrolled in the baseline of the Longitudinal Study of Adult Health-Brasil study (2008-2010) were studied. A clinical and anthropometric evaluation was performed, and their daily salt intake was estimated by the overnight 12-hr urine sodium excretion. Results: Salt intake (gram per day) was higher in participants with diabetes as compared with those without diabetes, regardless of sex (men: 14.2 ± 6.4 vs. 12.4 ± 5.6, P < 0.05; women: 10.5 ± 4.8 vs. 9.1 ± 4.1, P < 0.05). However, salt intake is high in participants with fasting glucose ≥126 mg/dL or HbA1c ≥6.5%, but not in participants with blood glucose 2 hr after the glucose tolerance test ≥200 mg/dL. When hypertension and diabetes coexisted, salt consumption was higher than among people without these conditions. The prevalence of hypertension increased with increasing salt intake in women with diabetes, but not in men with this condition. Conclusions: Our findings highlight the high consumption of salt in individuals with diabetes and/or hypertension, and the need for effective strategies to reduce salt consumption in these groups of increased risk for major cardiovascular events, especially in women.
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Affiliation(s)
- Natália Gonçalves Ribeiro
- Department of Pathophysiology, Montes Claros State University (UNIMONTES), Montes Claros, Minas Gerais, Brazil
| | - Deborah F Lelis
- Department of Pathophysiology, Montes Claros State University (UNIMONTES), Montes Claros, Minas Gerais, Brazil
| | - Rosane H Griep
- Laboratory of Health and Environment Education, Oswaldo Cruz Institute, Rio de Janeiro, Rio de Janeiro, Brazil
| | - Sandhi M Barreto
- Faculty of Medicine, Clinical Hospital/EBSERH, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Maria Del Carmen B Molina
- PostgraduateProgram in Public Health, Federal University of Espírito Santo, Vitória, Espírito Santo, Brazil
| | - Maria I Schmidt
- Postgraduate Program in Epidemiology, School of Medicine and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do SulBrazil
| | - Bruce B Duncan
- Postgraduate Program in Epidemiology, School of Medicine and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do SulBrazil
| | - Isabela Bensenor
- Center for Clinical and Epidemiologic Research, University of São Paulo, São Paulo, São Paulo, Brazil
| | - Paulo A Lotufo
- Center for Clinical and Epidemiologic Research, University of São Paulo, São Paulo, São Paulo, Brazil
| | - José G Mill
- Department of Physiological Sciences, Federal University of Espírito Santo, Vitória, Espírito Santo, Brazil
| | - Marcelo Perim Baldo
- Department of Pathophysiology, Montes Claros State University (UNIMONTES), Montes Claros, Minas Gerais, Brazil
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Guimarães JMN, Jackson JW, Barber S, Griep RH, da Fonseca MDJM, Camelo LV, Barreto SM, Schmidt MI, Duncan BB, Cardoso LDO, Pereira AC, Chor D. Racial Inequities in the Control of Hypertension and the Explanatory Role of Residential Segregation: a Decomposition Analysis in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). J Racial Ethn Health Disparities 2024; 11:1024-1032. [PMID: 37052798 DOI: 10.1007/s40615-023-01582-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 01/04/2023] [Accepted: 03/31/2023] [Indexed: 04/14/2023]
Abstract
The mechanisms underlying racial inequities in uncontrolled hypertension have been limited to individual factors. We investigated racial inequities in uncontrolled hypertension and the explanatory role of economic segregation in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). All 3897 baseline participants with hypertension (2008-2010) were included. Uncontrolled hypertension (SBP ≥ 140 mmHg or DBP ≥ 90 mmHg), self-reported race (White/Brown/Black people), and neighborhood economic segregation (low/medium/high) were analyzed cross-sectionally. We used decomposition analysis, which describes how much a disparity would change (disparity reduction; explained portion) and remain (disparity residual; unexplained portion) upon removing racial differences in economic segregation (i.e., if Black people had the distribution of segregation of White people, how much we would expect uncontrolled hypertension to decrease among Black people). Age- and gender-adjusted prevalence of uncontrolled hypertension (39.0%, 52.6%, and 54.2% for White, Brown, and Black participants, respectively) remained higher for Black and Brown vs White participants, regardless of economic segregation. Uncontrolled hypertension showed a dose-response pattern with increasing segregation levels for White but not for Black and Brown participants. After adjusting for age, gender, education, and study center, unexplained portion (disparity residual) of race on uncontrolled hypertension was 18.2% (95% CI 13.4%; 22.9%) for Black vs White participants and 12.6% (8.2%; 17.1%) for Brown vs White participants. However, explained portion (disparity reduction) through economic segregation was - 2.1% (- 5.1%; 1.3%) for Black vs White and 0.5% (- 1.7%; 2.8%) for Brown vs White participants. Although uncontrolled hypertension was greater for Black and Brown vs White people, racial inequities in uncontrolled hypertension were not explained by economic segregation.
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Affiliation(s)
- Joanna M N Guimarães
- National School of Public Health, Oswaldo Cruz Foundation, R Leopoldo Bulhões 1480, Manguinhos, Rio de Janeiro, RJ, Cep 21041-210, Brazil.
| | - John W Jackson
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Sharrelle Barber
- Department of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA, USA
| | - Rosane H Griep
- Laboratory of Health and Environment Education, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil
| | - Maria de J M da Fonseca
- National School of Public Health, Oswaldo Cruz Foundation, R Leopoldo Bulhões 1480, Manguinhos, Rio de Janeiro, RJ, Cep 21041-210, Brazil
| | - Lidyane V Camelo
- Department of Preventive and Social Medicine, Faculty of Medicine, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Sandhi M Barreto
- Department of Preventive and Social Medicine, Faculty of Medicine, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Maria Inês Schmidt
- Postgraduate Program in Epidemiology, Hospital das Clínicas de Porto Alegre, Federal University of Rio Grande Do Sul, Porto Alegre, RS, Brazil
| | - Bruce B Duncan
- Postgraduate Program in Epidemiology, Hospital das Clínicas de Porto Alegre, Federal University of Rio Grande Do Sul, Porto Alegre, RS, Brazil
| | - Leticia de O Cardoso
- National School of Public Health, Oswaldo Cruz Foundation, R Leopoldo Bulhões 1480, Manguinhos, Rio de Janeiro, RJ, Cep 21041-210, Brazil
| | - Alexandre C Pereira
- Laboratory of Genetics and Molecular Cardiology, Heart Institute, University of São Paulo, São Paulo, SP, Brazil
| | - Dora Chor
- National School of Public Health, Oswaldo Cruz Foundation, R Leopoldo Bulhões 1480, Manguinhos, Rio de Janeiro, RJ, Cep 21041-210, Brazil
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Feter N, de Paula D, Dos Reis RCP, Raichlen D, Patrão AL, Barreto SM, Suemoto CK, Duncan BB, Schmidt MI. Leisure-Time Physical Activity May Attenuate the Impact of Diabetes on Cognitive Decline in Middle-Aged and Older Adults: Findings From the ELSA-Brasil Study. Diabetes Care 2024; 47:427-434. [PMID: 38181314 DOI: 10.2337/dc23-1524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 12/08/2023] [Indexed: 01/07/2024]
Abstract
OBJECTIVE To assess leisure-time physical activity (LTPA) as a modifier of the diabetes/cognitive decline association in middle-aged and older participants in the Estudo Longitudinal de Saude do Adulto (ELSA-Brasil) study. RESEARCH DESIGN AND METHODS ELSA-Brasil is a cohort of 15,105 participants (age 35-74 years) enrolled between 2008 and 2010. We evaluated global cognitive function, summing the scores of six standardized tests evaluating memory and verbal fluency, including the Trail-Making Test, at baseline and follow-up. Incident cognitive impairment was defined as a global cognitive function score at follow-up lower than -1 SD from baseline mean. Participants reporting ≥150 min/week of moderate to vigorous LTPA at baseline were classified as physically active. We assessed the association of LTPA with global cognition change in those with diabetes in the context of our overall sample through multivariable regression models. RESULTS Participants' (N = 12,214) mean age at baseline was 51.4 (SD 8.8) years, and 55.5% were women. During a mean follow-up of 8.1 (SD 0.6) years, 9,345 (76.5%) inactive participants and 1,731 (14.1%) participants with diabetes at baseline experienced faster declines in global cognition than those who were active (β = -0.003, -0.004, and -0.002) and those without diabetes (β = -0.004, -0.005, and -0.003), respectively. Diabetes increased the risk of cognitive impairment (hazard ratio [HR] 1.71; 95% Cl 1.22, 2.39) in inactive but not in active adults (HR 1.18; 95% CI 0.73, 1.90). Among participants with diabetes, those who were active showed a delay of 2.73 (95% CI 0.94, 4.51) years in the onset of cognitive impairment. CONCLUSIONS In adults living with diabetes, LTPA attenuated the deleterious association between diabetes and cognitive function.
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Affiliation(s)
- Natan Feter
- Post Graduate Program in Epidemiology, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Danilo de Paula
- Post Graduate Program in Epidemiology, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Rodrigo Citton P Dos Reis
- Post Graduate Program in Epidemiology, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - David Raichlen
- Human and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA
| | - Ana Luísa Patrão
- Center for Psychology at University of Porto, Faculty of Psychology and Education Sciences, University of Porto, Porto, Portugal
| | - Sandhi Maria Barreto
- Deparment of Preventive and Social Medicine, Faculdade de Medicina and Clinical Hospital/Empresa Brasileira de Serviços Hospitalares, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | | | - Bruce B Duncan
- Post Graduate Program in Epidemiology, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Maria Inês Schmidt
- Post Graduate Program in Epidemiology, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
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Ferreira NV, Gonçalves NG, Szlejf C, Goulart AC, de Souza Santos I, Duncan BB, Schmidt MI, Barreto SM, Caramelli P, Feter N, Castilhos RM, Drager LF, Lotufo P, Benseñor I, Suemoto CK. Optimal cardiovascular health is associated with slower cognitive decline. Eur J Neurol 2024; 31:e16139. [PMID: 38015440 DOI: 10.1111/ene.16139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 10/19/2023] [Accepted: 10/23/2023] [Indexed: 11/29/2023]
Abstract
BACKGROUND Life's Simple 7, a lifestyle and cardiovascular index associated with cognition, has been updated to Life's Essential 8 (LE8) to include sleep. LE8 has been related to cardiovascular outcomes but its association with cognition is unclear. METHODS In this longitudinal analysis of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), LE8 score was based on health behaviors (diet, physical activity, nicotine exposure, and sleep health) as well as health-related factors (body mass index, blood lipids, blood glucose, and blood pressure). Cognition was assessed in three waves, 4 years apart, using the Consortium to Establish a Registry for Alzheimer's Disease - Word List, semantic and phonemic verbal fluency, the Trail-Making Test B (TMT-B), and a global composite score. We used linear mixed-model analysis, inverse probability weighting, and interaction analysis. RESULTS At baseline, the mean age of the study cohort was 51.4 ± 8.9 years, 56% were women, and 53% were White. Higher baseline LE8 scores were associated with slower decline in global cognition (β = 0.001, 95% confidence interval [CI] 0.001, 0.002; p < 0.001), memory (β = 0.001, 95% CI 0.000, 0.002; p = 0.013), verbal fluency (β = 0.001, 95% CI 0.000, 0.002; p = 0.003), and TMT-B (β = 0.004, 95% CI 0.003, 0.005; p < 0.001). This association was mainly driven by LE8 health factors, particularly blood glucose and blood pressure. Age, sex, and race were modifiers of the association between LE8 and global cognitive decline (p < 0.001), suggesting it was more pronounced in older, male, and Black participants. CONCLUSIONS Higher baseline LE8 scores were associated with slower global and domain-specific cognitive decline during 8 years of follow-up, mainly due to health factors such as blood glucose and blood pressure. Sociodemographic factors were modifiers of this association.
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Affiliation(s)
- Naomi Vidal Ferreira
- Center for Clinical and Epidemiological Research, Hospital Universitario, Universidade de Sao Paulo, Sao Paulo, Brazil
- Faculdade Adventista da Amazonia, Benevides, Brazil
| | | | - Claudia Szlejf
- Center for Clinical and Epidemiological Research, Hospital Universitario, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Alessandra C Goulart
- Center for Clinical and Epidemiological Research, Hospital Universitario, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Itamar de Souza Santos
- Center for Clinical and Epidemiological Research, Hospital Universitario, Universidade de Sao Paulo, Sao Paulo, Brazil
- Department of Internal Medicine, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Bruce B Duncan
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Maria Inês Schmidt
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Sandhi Maria Barreto
- Deparment of Preventive and Social Medicine, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Paulo Caramelli
- Behavioral and Cognitive Research Group, Departamento de Clínica Médica, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Natan Feter
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | | | - Luciano F Drager
- Unidade de Hipertensão, Instituto do Coracao (InCor), Hospital das Clinicas, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
- Unidade de Hipertensão, Disciplina de Nefrologia, Hospital das Clinicas, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Paulo Lotufo
- Center for Clinical and Epidemiological Research, Hospital Universitario, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Isabela Benseñor
- Center for Clinical and Epidemiological Research, Hospital Universitario, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Claudia Kimie Suemoto
- Division of Geriatrics, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
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Chwal BC, dos Reis RCP, Schmidt MI, Barreto SM, Griep RH, Duncan BB. Achievement of Treatment Goals and Mortality in Individuals with Diabetes: The ELSA-Brasil Study. J Clin Med 2023; 12:7663. [PMID: 38137733 PMCID: PMC10744226 DOI: 10.3390/jcm12247663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 12/02/2023] [Accepted: 12/11/2023] [Indexed: 12/24/2023] Open
Abstract
BACKGROUND To prevent diabetes complications, the American Diabetes Association (ADA) has recommended the treatment of blood glucose, blood pressure, and LDL-cholesterol (LDL-c) to target levels. Our aim is to characterize the risk of death according to the achievement of these goals in subjects with diabetes participating in the ELSA-Brasil study. METHODS ELSA-Brasil is an occupational cohort study of middle-aged and elderly adults followed from a 2008-2010 baseline to 2019 by two additional clinic visits and annual telephone interviews. We ascertained known diabetes by self-reported diagnosis or anti-diabetic medication use. We used treatment targets based on the 2022 ADA guidelines. We ascertained deaths from any cause based on the annual surveillance confirmed by death certificates. RESULTS After 11 (1.8) years of follow-up, 261 subjects had died among 2423 with known diabetes. Within-target HbA1c was associated with the greatest protection (HR = 0.66; 95%CI 0.50-0.88) against all-cause mortality. Achieving both glycemic and blood pressure targets conferred substantial protection (HR = 0.54; 95%CI 0.37-0.78). Within-target LDL-c, however, was associated with increased mortality (HR = 1.44; 95%CI 1.11-1.88). CONCLUSIONS Glucose and blood pressure control, especially when concomitant, reduced mortality. The increased mortality associated with achieving the LDL-c target merits further investigation.
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Affiliation(s)
- Bruna Cristine Chwal
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, R. Ramiro Barcelos, 2600/518, Porto Alegre CEP 90035-003, Brazil; (B.C.C.); (R.C.P.d.R.); (M.I.S.)
| | - Rodrigo Citton P. dos Reis
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, R. Ramiro Barcelos, 2600/518, Porto Alegre CEP 90035-003, Brazil; (B.C.C.); (R.C.P.d.R.); (M.I.S.)
- Departamento de Estatística, Universidade Federal do Rio Grande do Sul, Porto Alegre CEP 90040-060, Brazil
| | - Maria Inês Schmidt
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, R. Ramiro Barcelos, 2600/518, Porto Alegre CEP 90035-003, Brazil; (B.C.C.); (R.C.P.d.R.); (M.I.S.)
- Hospital de Clínicas de Porto Alegre, Porto Alegre CEP 90035-903, Brazil
| | - Sandhi Maria Barreto
- Faculdade de Medicina e Hospital das Clínicas/EBSERH, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte CEP 31270-901, Brazil;
| | - Rosane Harter Griep
- Laboratório de Educação em Ambiente e Saúde, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro CEP 21040-360, Brazil;
| | - Bruce B. Duncan
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, R. Ramiro Barcelos, 2600/518, Porto Alegre CEP 90035-003, Brazil; (B.C.C.); (R.C.P.d.R.); (M.I.S.)
- Hospital de Clínicas de Porto Alegre, Porto Alegre CEP 90035-903, Brazil
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11
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Cesena FY, Generoso G, Santos IDS, Duncan BB, Ribeiro ALP, Brant LC, Mill JG, Pereira AC, Bittencourt MS, Santos RD, Lotufo PA, Benseñor IM. Percentiles of predicted 10-year cardiovascular disease risk by sex and age in Brazil and their association with estimated risk of long-term atherosclerotic events. Prev Med 2023; 177:107755. [PMID: 37931661 DOI: 10.1016/j.ypmed.2023.107755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 10/17/2023] [Accepted: 11/02/2023] [Indexed: 11/08/2023]
Abstract
OBJECTIVE Expressing the cardiovascular disease (CVD) risk in relation to peers may complement the estimation of absolute CVD risk. We aimed to determine 10-year CVD risk percentiles by sex and age in the Brazilian population and evaluate their association with estimated long-term atherosclerotic CVD (ASCVD) risk. METHODS A cross-sectional analysis of baseline data from the ELSA-Brasil study was conducted in individuals aged 40-74 years without prior ASCVD. Ten-year CVD risk and long-term ASCVD risk were estimated by the WHO risk score and the Multinational Cardiovascular Risk Consortium tool, respectively. Ten-year risk percentiles were determined by ranking the calculated risks within each sex and age group. RESULTS Ten-year CVD risk versus percentile plots were constructed for each sex and age group using data from 13,364 participants (55% females; median age, 52 [IQR, 46-59] years). Long-term ASCVD risk was calculated in 12,973 (97.1%) participants. Compared to individuals at the <25th risk percentile, those at the ≥75th percentile had a greater risk of being in the highest quartile of long-term risk (ORs [95% CIs] 6.57 [5.18-8.30] in females and 11.59 [8.42-15.96] in males) in regression models adjusted for age, race, education, and 10-year CVD risk. In both sexes, the association between risk percentile and long-term risk weakened after age 50. A tool for calculating 10-year CVD risk and the corresponding percentile is available at https://bit.ly/3CzPUi6. CONCLUSIONS We established percentiles of predicted 10-year CVD risk by sex and age in the Brazilian population, which independently reflect the estimated long-term ASCVD risk in younger individuals.
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Affiliation(s)
| | - Giuliano Generoso
- Center for Clinical and Epidemiological Research, University Hospital, University of São Paulo, São Paulo, SP, Brazil
| | - Itamar de S Santos
- Center for Clinical and Epidemiological Research, University Hospital, University of São Paulo, São Paulo, SP, Brazil
| | - Bruce B Duncan
- School of Medicine and Hospital de Clínicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Antonio Luiz P Ribeiro
- Department of Internal Medicine, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil; Telehealth Center and Cardiology Service, Hospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | - Luisa Caldeira Brant
- Department of Internal Medicine, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | - Jose Geraldo Mill
- Department of Physiological Sciences, Federal University of Espírito Santo, Vitória, ES, Brazil
| | - Alexandre C Pereira
- Laboratory of Genetics and Molecular Cardiology (LIM13), University of São Paulo Medical School Hospital, São Paulo, SP, Brazil; Genetics Department, Harvard Medical School, Boston, MA, USA
| | | | - Raul D Santos
- Heart Institute (InCor), University of São Paulo Medical School Hospital, São Paulo, SP, Brazil; Hospital Israelita Albert Einstein, São Paulo, SP, Brazil
| | - Paulo A Lotufo
- Center for Clinical and Epidemiological Research, University Hospital, University of São Paulo, São Paulo, SP, Brazil
| | - Isabela M Benseñor
- Center for Clinical and Epidemiological Research, University Hospital, University of São Paulo, São Paulo, SP, Brazil
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12
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Canhada SL, Vigo Á, Levy R, Luft VC, da Fonseca MDJM, Giatti L, Molina MDCB, Duncan BB, Schmidt MI. Association between ultra-processed food consumption and the incidence of type 2 diabetes: the ELSA-Brasil cohort. Diabetol Metab Syndr 2023; 15:233. [PMID: 37968763 PMCID: PMC10647077 DOI: 10.1186/s13098-023-01162-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 09/06/2023] [Indexed: 11/17/2023] Open
Abstract
BACKGROUND Ultra-processed food (UPF) consumption increases the risk of type 2 diabetes in various high-income countries, with some variation in the magnitude across studies. Our objective was to investigate the association of UPF consumption and specific subgroups with incident type 2 diabetes in Brazilian adults. METHODS The Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) is a multicenter cohort study of 15,105 adults (35-74 years) enrolled in public institutions in Brazil (2008-2010). We followed participants with two clinic visits (2012-2014; 2017-2019) and annual telephone surveillance. After excluding those with diabetes at baseline, who died or were lost in the follow-up, with missing data, with implausible energy food intake, or reporting bariatric surgery, there were 10,202 participants. We used the NOVA classification to assess UPF consumption based on a food frequency questionnaire. We defined type 2 diabetes by self-report, medication use, or comprehensive laboratory tests. We estimated relative risks (RR) and 95% confidence intervals (95% CI) using robust Poisson regression. RESULTS Median UPF consumption was 372 g/day. Over 8.2 (0.7) years of follow-up, we detected 1799 (17.6%) incident cases. After adjustment for socio-demographics, family history of diabetes, and behavioral risk factors, comparing the fourth (≥ 566 g/day) with the first (< 236 g/day) quartile of UPF distribution, RR was 1.24 (1.10-1.39); every 150 g/day increments in UPF consumption resulted in a RR of 1.05 (1.03-1.07). Reclassifying natural beverages with added sweeteners as UPF increased risk (RR 1.40; 1.25-1.58). Among UPF subgroupings, consumption of processed meats and sweetened beverages increased diabetes risk, while yogurt and dairy sweets decreased the risk (p < 0.05). CONCLUSIONS UPF consumption increased the incidence of type 2 diabetes in Brazilian adults, with heterogeneity across specific food items. These findings add to previous evidence for the role of UPFs in the development of diabetes and other chronic diseases, supporting recommendations to avoid their intake in diabetes prevention and management.
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Affiliation(s)
- Scheine L Canhada
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Rua Ramiro Barcelos 2600 sala 519, Porto Alegre, RS, Brazil
| | - Álvaro Vigo
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Rua Ramiro Barcelos 2600 sala 519, Porto Alegre, RS, Brazil
| | - Renata Levy
- Department of Preventive Medicine, School of Medicine, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Vivian C Luft
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Rua Ramiro Barcelos 2600 sala 519, Porto Alegre, RS, Brazil
- Postgraduate Program in Food, Nutrition and Health, UFRGS; Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
| | | | - Luana Giatti
- Postgraduate Program in Public Health and School of Medicine & Clinical Hospital, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | - Maria Del Carmen B Molina
- Postgraduate Program in Nutrition and Health, Universidade Federal do Espírito Santo, Vitória, ES, Brazil
| | - Bruce B Duncan
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Rua Ramiro Barcelos 2600 sala 519, Porto Alegre, RS, Brazil
| | - Maria Inês Schmidt
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Rua Ramiro Barcelos 2600 sala 519, Porto Alegre, RS, Brazil.
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13
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Duncan BB, Schmidt MI. Many years of life lost to young-onset type 2 diabetes. Lancet Diabetes Endocrinol 2023; 11:709-710. [PMID: 37708899 DOI: 10.1016/s2213-8587(23)00255-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 08/15/2023] [Indexed: 09/16/2023]
Affiliation(s)
- Bruce B Duncan
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, Brazil.
| | - Maria Inês Schmidt
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, Brazil
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14
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Pianca EG, Schmitz GB, Duncan BB, Foppa M, Santos ABS. Reproducibility of right ventricular function by longitudinal strain and other echocardiographic parameters in the ELSA-Brasil study. Int J Cardiovasc Imaging 2023; 39:1865-1870. [PMID: 37341948 DOI: 10.1007/s10554-023-02899-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 06/14/2023] [Indexed: 06/22/2023]
Abstract
Right ventricular (RV) free wall longitudinal strain (RVFWLS), and four-chamber longitudinal strain (RV4CLS) using speckle tracking echocardiography have demonstrated increased accuracy and discrimination to measure right ventricular function in different clinical conditions. Reproducibility data of these measures are scarce and mainly tested in small or reference populations. The main objective of this study was to investigate their reproducibility, and of other traditional RV parameters, from unselected participants of a large cohort study. RV strain reproducibility was analyzed using echocardiographic images of 50 participants from a randomly selected sample from The ELSA-Brasil Cohort. Images were acquired and analyzed following the study protocols. The mean RVFWLS was - 26.9 ± 2.6% and the mean RV4CLS was - 24.4 ± 1.9%. The intra-observer reproducibility parameters of RVFWLS demonstrated a coefficient of variation (CV) of 5.1% and an intraclass correlation coefficient (ICC [95%CI] 0.78[0.67-0.89]), and for RV4CLS were CV = 5.1% and ICC = 0.78[0.67-0.89]. Reproducibility for RV fractional area change was CV = 12.1%; ICC = 0.66 [0.50-0.81] and for RV basal diameter was CV = 6.3%; ICC = 0.82 [0.73-0.91]. The inter-observer reproducibility for RVFWLS was CV = 8.3%; ICC 0.54[0.34-0.74] and for RV4CLS, CV = 6.3%; ICC = 0.53[0.34-0.73], following the same pattern among conventional RV parameters. We found adequate reproducibility of RV longitudinal strain parameters. This information is relevant for the long-term follow-up of cohort participants and reinforces the utility of RV longitudinal strain as a tool to monitor subclinical changes in RV systolic function.
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Affiliation(s)
- Eduardo G Pianca
- Postgraduate Program in Cardiology and Cardiovascular Sciences, Medical School, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Giulia B Schmitz
- Postgraduate Program in Cardiology and Cardiovascular Sciences, Medical School, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
- Cardiology Division, Hospital de Clínicas de Porto Alegre, Rua Ramiro Barcelos, 2350, Sala 2061, Porto Alegre, Rio Grande do Sul, RS, ZIP Code 90035-903, Brazil
| | - Bruce B Duncan
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Murilo Foppa
- Postgraduate Program in Cardiology and Cardiovascular Sciences, Medical School, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
- Cardiology Division, Hospital de Clínicas de Porto Alegre, Rua Ramiro Barcelos, 2350, Sala 2061, Porto Alegre, Rio Grande do Sul, RS, ZIP Code 90035-903, Brazil
| | - Angela B S Santos
- Postgraduate Program in Cardiology and Cardiovascular Sciences, Medical School, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.
- Cardiology Division, Hospital de Clínicas de Porto Alegre, Rua Ramiro Barcelos, 2350, Sala 2061, Porto Alegre, Rio Grande do Sul, RS, ZIP Code 90035-903, Brazil.
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Lelis DDF, Cunha RS, Santos RD, Sposito AC, Griep RH, Barreto SM, Molina MDCB, Schmidt MI, Duncan BB, Bensenor I, Lotufo PA, Mill JG, Baldo MP. Association Between Triglycerides, High-Density Lipoprotein Cholesterol, and Their Ratio With the Pulse Wave Velocity in Adults From the ELSA-Brasil Study. Angiology 2023; 74:822-831. [PMID: 35972851 DOI: 10.1177/00033197221121434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Atherogenic dyslipidemia is a risk factor for cardiovascular diseases. The present study aimed to evaluate the association between triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and the triglycerides to high-density lipoprotein (TG/HDL-C) ratio with carotid-femoral pulse wave velocity (cf-PWV), a marker of vascular stiffness. Anthropometric, biochemical, and clinical data from 13,732 adults were used to assess this association. Individuals within the third TG/HDL-C tertile presented worse anthropometric, biochemical, and clinical profiles as compared with the participants in the lower TG/HDL-C tertile. There was a linear association between TG, HDL-C, and TG/HDL-C ratio and cf-PWV in both men and women (stronger in women). After adjustment for confounders, lower levels of HDL-C were associated with increased cf-PWV in men (9.63 ± .02 m/s) and women (8.90 ± .03 m/s). However, TG was not significantly associated with cf-PWV after adjustment, regardless of sex. An increased TG/HDL-C ratio is associated with higher cf-PWV only in women (9.01 ± .03 m/s), but after adjustment for HDL-C levels, the association was non-significant (8.99 ± .03 m/s). These results highlight the stronger association of HDL-C with arterial stiffness, and that the association of TG/HDL-C with cf-PWV is dependent on HDL-C.
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Affiliation(s)
- Deborah de Farias Lelis
- Department of Pathophysiology, Montes Claros State University (UNIMONTES), Montes Claros, Brazil
| | - Roberto S Cunha
- Department of Physiological Sciences, Federal University of Espírito Santo, Vitória, Brazil
| | - Raul D Santos
- Lipid Clinic Heart Institute (Incor) University of São Paulo Medical School Hospital, São Paulo, Brazil
| | - Andrei C Sposito
- Cardiology Division, Faculty of Medical Sciences, State University of Campinas (Unicamp), Campinas, Brazil
| | - Rosane Härter Griep
- Laboratory of Health and Environment Education, Oswaldo Cruz Institute, Rio de Janeiro, Brazil
| | | | | | - Maria Inês Schmidt
- School of Medicine and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Bruce B Duncan
- School of Medicine and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Isabela Bensenor
- Center for Clinical and Epidemiologic Research, University of São Paulo, São Paulo, Brazil
| | - Paulo Andrade Lotufo
- Center for Clinical and Epidemiologic Research, University of São Paulo, São Paulo, Brazil
| | - José Geraldo Mill
- Department of Physiological Sciences, Federal University of Espírito Santo, Vitória, Brazil
| | - Marcelo Perim Baldo
- Department of Pathophysiology, Montes Claros State University (UNIMONTES), Montes Claros, Brazil
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16
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Ribeiro NG, Lelis DF, Molina MDCB, Schmidt MI, Duncan BB, Griep RH, Barreto SM, Bensenor I, Lotufo PA, Mill JG, Baldo MP. The high salt intake in adults with metabolic syndrome is related to increased waist circumference and blood pressure: the Brazilian Longitudinal Study of Adult Health study (ELSA-Brasil). Nutrition 2023; 114:112108. [PMID: 37406608 DOI: 10.1016/j.nut.2023.112108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Revised: 05/18/2023] [Accepted: 05/25/2023] [Indexed: 07/07/2023]
Abstract
OBJECTIVES The association between metabolic syndrome (MetS), a cluster of cardiometabolic risk factors, and salt consumption has fed intense debate in recent years, although it is yet to be fully elucidated. We aimed to evaluate whether individuals with MetS have a high salt consumption and to identify which components of the MetS diagnosis could be independently related to high salt consumption. METHODS We analyzed data from 11 982 adults, ages 35 to 74 y, from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) cohort study, from which clinical and anthropometric data were assessed, and a validated 12-h overnight urine collection was used to estimate salt intake. MetS was defined according to the Adult Treatment Panel III criteria. RESULTS Salt intake was increased in individuals with MetS compared with individuals without MetS, regardless of sex (men: 14.3 ± 6.4 g/d versus 12.2 ± 5.5 g/d, P < 0.001; women: 10.6 ± 4.9 g/d versus 8.9 ± 4.0 g/d, P < 0.001) and increased progressively as the MetS criteria accumulated. The high salt intake in MetS participants, however, was observed only in the presence of elevated waist circumference and/or blood pressure and not with the other MetS criteria (reduced high-density lipoprotein, increased triglycerides, and impaired fasting blood glucose), regardless of the presence of MetS. When diabetes was incorporated as a MetS criterion, increased salt intake was observed in men but not in women. CONCLUSIONS Salt intake should be reduced worldwide, but strategies must be more intense in people with elevated blood pressure and waist circumference, regardless of MetS diagnosis, to avoid the associated morbidity and mortality.
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Affiliation(s)
| | - Deborah F Lelis
- Department of Pathophysiology, Montes Claros State University (UNIMONTES), Montes Claros, Brazil
| | | | - Maria I Schmidt
- Postgraduate Program in Epidemiology, School of Medicine and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Bruce B Duncan
- Postgraduate Program in Epidemiology, School of Medicine and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Rosane H Griep
- Laboratory of Health and Environment Education, Oswaldo Cruz Institute, Rio de Janeiro, Brazil
| | - Sandhi M Barreto
- Faculty of Medicine and Clinical Hospital, Empresa Brasileira de Serviços Hospitalares - EBSERH, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Isabela Bensenor
- Center for Clinical and Epidemiologic Research, University of São Paulo, São Paulo, Brazil
| | - Paulo A Lotufo
- Center for Clinical and Epidemiologic Research, University of São Paulo, São Paulo, Brazil
| | - José G Mill
- Department of Physiological Sciences, Federal University of Espírito Santo, Vitória, Brazil
| | - Marcelo P Baldo
- Department of Pathophysiology, Montes Claros State University (UNIMONTES), Montes Claros, Brazil.
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17
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Haas P, Santos ABS, Cañon-Montañez W, Bittencourt MS, Torres FS, Ribeiro ALP, Duncan BB, Foppa M. Associations Between Coronary Artery Calcification and Left Ventricular Global Longitudinal Strain and Diastolic Parameters: the ELSA-Brasil Study. Am J Cardiol 2023; 204:215-222. [PMID: 37556890 DOI: 10.1016/j.amjcard.2023.06.124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 06/29/2023] [Indexed: 08/11/2023]
Abstract
Atherosclerosis burden can be evaluated in asymptomatic patients by measuring coronary artery calcification (CAC), whereas the global longitudinal strain (GLS) and diastolic function parameters (mitral E/e' ratio, septal e', and lateral e') are used to evaluate subclinical left ventricular (LV) dysfunction. We investigated whether subjects with CAC (CAC >0 Agatston units) would present with an impairment in LV functional parameters. Among the participants of the ELSA-Brasil cohort free of clinically prevalent cardiovascular disease who performed cardiac computed tomography and echocardiography within the study protocol, we tested whether those with CAC >0 presented with worse GLS and diastolic function parameters. CAC >0 was present in 203 of the 612 included participants (33.17%; age 51.4 ± 8.6 years, 52.1% women). Absolute CAC values did not correlate with GLS (ro = 0.07, p = 0.105) but did so with E/e' (ro = 0.19, p <0.001), septal e' (ro = 0.28, p <0.001), and lateral e' (ro = 0.30, p <0.001), with stronger correlations in men. Those with CAC >0 had worse mitral E/e' ratios (7.75 ± 0.13 vs 7.01 ± 0.09; p ≤0.001), septal e' (8.25 ± 0.15 vs 9.59 ± 0.11 cm/s; p <0.001), and lateral e' (10.13 ± 0.20 vs 11.99 ± 0.14 cm/s; p ≤0.001), respectively. However, these associations were not independent of diabetes, obesity, hypertension, smoking, and low-density lipoprotein cholesterol, persisting only as significant associations of CAC >0 with mitral E/e' ratio and septal e' in men. There is an association between subclinical coronary atherosclerosis and impaired LV functional parameters. These associations are more likely attributed to the presence of common cardiovascular risk factors in the general population. However, in men, it seems to exist as an independent association.
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Affiliation(s)
- Priscila Haas
- Postgraduate Program in Cardiology and Cardiovascular Sciences, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Angela B S Santos
- Postgraduate Program in Cardiology and Cardiovascular Sciences, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | | | - Marcio S Bittencourt
- University of Pittsburgh, Pittsburgh, Pennsylvania, United States and School of Medicine, Universidade de São Paulo, São Paulo, Brazil
| | | | - Antonio L P Ribeiro
- School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Bruce B Duncan
- Postgraduate Program in Epidemiology, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Murilo Foppa
- Postgraduate Program in Cardiology and Cardiovascular Sciences, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
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18
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Sun H, Saeedi P, Karuranga S, Pinkepank M, Ogurtsova K, Duncan BB, Stein C, Basit A, Chan JCN, Claude Mbanya J, Pavkov ME, Ramachandaran A, Wild SH, James S, Herman WH, Zhang P, Bommer C, Kuo S, Boyko EJ, Magliano DJ. Erratum to "IDF Diabetes Atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045" [Diabetes Res. Clin. Pract. 183 (2022) 109119]. Diabetes Res Clin Pract 2023; 204:110945. [PMID: 37863776 DOI: 10.1016/j.diabres.2023.110945] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2023]
Affiliation(s)
- Hong Sun
- International Diabetes Federation, Brussels, Belgium
| | - Pouya Saeedi
- International Diabetes Federation, Brussels, Belgium
| | | | | | - Katherine Ogurtsova
- Institute for Health Services Research and Health Economics, German Diabetes Center, Leibniz Center for Diabetes Research at the Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Bruce B Duncan
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Caroline Stein
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Abdul Basit
- Baqai Institute of Diabetology and Endocrinology, Baqai Medical University, Karachi, Pakistan
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, Li Ka Shing Institute of Health Sciences and Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
| | - Jean Claude Mbanya
- Department of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences and Biotechnology Center, The University of Yaounde I, Yaounde, Cameroon
| | - Meda E Pavkov
- Division of Diabetes Translation, Centers for Diseases Control and Prevention, Atlanta, GA, United States
| | - Ambady Ramachandaran
- India Diabetes Research Foundation & Dr. A. Ramachandran's Diabetes Hospital, Chennai, India
| | - Sarah H Wild
- Usher Institute, University of Edinburgh, Teviot Place EH8 9AG, Scotland
| | - Steven James
- School of Nursing, Midwifery and Paramedicine, University of the Sunshine Coast, Petrie Queensland, Australia
| | - William H Herman
- Division of Metabolism, Endocrinology, and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States; Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Ping Zhang
- Division of Diabetes Translation, Centers for Diseases Control and Prevention, Atlanta, GA, United States
| | - Christian Bommer
- Centre for Modern Indian Studies, University of Goettingen, Goettingen, Germany; Heidelberg Institute of Global Health, University of Heidelberg, Heidelberg, Germany
| | - Shihchen Kuo
- Division of Metabolism, Endocrinology, and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States
| | - Edward J Boyko
- Seattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, Seattle, United States
| | - Dianna J Magliano
- Department of Diabetes and Population Health, Baker Heart and Diabetes Institute, Melbourne, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
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Ong KL, Stafford LK, McLaughlin SA, Boyko EJ, Vollset SE, Smith AE, Dalton BE, Duprey J, Cruz JA, Hagins H, Lindstedt PA, Aali A, Abate YH, Abate MD, Abbasian M, Abbasi-Kangevari Z, Abbasi-Kangevari M, Abd ElHafeez S, Abd-Rabu R, Abdulah DM, Abdullah AYM, Abedi V, Abidi H, Aboagye RG, Abolhassani H, Abu-Gharbieh E, Abu-Zaid A, Adane TD, Adane DE, Addo IY, Adegboye OA, Adekanmbi V, Adepoju AV, Adnani QES, Afolabi RF, Agarwal G, Aghdam ZB, Agudelo-Botero M, Aguilera Arriagada CE, Agyemang-Duah W, Ahinkorah BO, Ahmad D, Ahmad R, Ahmad S, Ahmad A, Ahmadi A, Ahmadi K, Ahmed A, Ahmed A, Ahmed LA, Ahmed SA, Ajami M, Akinyemi RO, Al Hamad H, Al Hasan SM, AL-Ahdal TMA, Alalwan TA, Al-Aly Z, AlBataineh MT, Alcalde-Rabanal JE, Alemi S, Ali H, Alinia T, Aljunid SM, Almustanyir S, Al-Raddadi RM, Alvis-Guzman N, Amare F, Ameyaw EK, Amiri S, Amusa GA, Andrei CL, Anjana RM, Ansar A, Ansari G, Ansari-Moghaddam A, Anyasodor AE, Arabloo J, Aravkin AY, Areda D, Arifin H, Arkew M, Armocida B, Ärnlöv J, Artamonov AA, Arulappan J, Aruleba RT, Arumugam A, Aryan Z, Asemu MT, Asghari-Jafarabadi M, Askari E, Asmelash D, Astell-Burt T, Athar M, Athari SS, Atout MMW, Avila-Burgos L, Awaisu A, Azadnajafabad S, B DB, Babamohamadi H, Badar M, Badawi A, Badiye AD, Baghcheghi N, Bagheri N, Bagherieh S, Bah S, Bahadory S, Bai R, Baig AA, Baltatu OC, Baradaran HR, Barchitta M, Bardhan M, Barengo NC, Bärnighausen TW, Barone MTU, Barone-Adesi F, Barrow A, Bashiri H, Basiru A, Basu S, Basu S, Batiha AMM, Batra K, Bayih MT, Bayileyegn NS, Behnoush AH, Bekele AB, Belete MA, Belgaumi UI, Belo L, Bennett DA, Bensenor IM, Berhe K, Berhie AY, Bhaskar S, Bhat AN, Bhatti JS, Bikbov B, Bilal F, Bintoro BS, Bitaraf S, Bitra VR, Bjegovic-Mikanovic V, Bodolica V, Boloor A, Brauer M, Brazo-Sayavera J, Brenner H, Butt ZA, Calina D, Campos LA, Campos-Nonato IR, Cao Y, Cao C, Car J, Carvalho M, Castañeda-Orjuela CA, Catalá-López F, Cerin E, Chadwick J, Chandrasekar EK, Chanie GS, Charan J, Chattu VK, Chauhan K, Cheema HA, Chekol Abebe E, Chen S, Cherbuin N, Chichagi F, Chidambaram SB, Cho WCS, Choudhari SG, Chowdhury R, Chowdhury EK, Chu DT, Chukwu IS, Chung SC, Coberly K, Columbus A, Contreras D, Cousin E, Criqui MH, Cruz-Martins N, Cuschieri S, Dabo B, Dadras O, Dai X, Damasceno AAM, Dandona R, Dandona L, Das S, Dascalu AM, Dash NR, Dashti M, Dávila-Cervantes CA, De la Cruz-Góngora V, Debele GR, Delpasand K, Demisse FW, Demissie GD, Deng X, Denova-Gutiérrez E, Deo SV, Dervišević E, Desai HD, Desale AT, Dessie AM, Desta F, Dewan SMR, Dey S, Dhama K, Dhimal M, Diao N, Diaz D, Dinu M, Diress M, Djalalinia S, Doan LP, Dongarwar D, dos Santos Figueiredo FW, Duncan BB, Dutta S, Dziedzic AM, Edinur HA, Ekholuenetale M, Ekundayo TC, Elgendy IY, Elhadi M, El-Huneidi W, Elmeligy OAA, Elmonem MA, Endeshaw D, Esayas HL, Eshetu HB, Etaee F, Fadhil I, Fagbamigbe AF, Fahim A, Falahi S, Faris MEM, Farrokhpour H, Farzadfar F, Fatehizadeh A, Fazli G, Feng X, Ferede TY, Fischer F, Flood D, Forouhari A, Foroumadi R, Foroutan Koudehi M, Gaidhane AM, Gaihre S, Gaipov A, Galali Y, Ganesan B, Garcia-Gordillo MA, Gautam RK, Gebrehiwot M, Gebrekidan KG, Gebremeskel TG, Getacher L, Ghadirian F, Ghamari SH, Ghasemi Nour M, Ghassemi F, Golechha M, Goleij P, Golinelli D, Gopalani SV, Guadie HA, Guan SY, Gudayu TW, Guimarães RA, Guled RA, Gupta R, Gupta K, Gupta VB, Gupta VK, Gyawali B, Haddadi R, Hadi NR, Haile TG, Hajibeygi R, Haj-Mirzaian A, Halwani R, Hamidi S, Hankey GJ, Hannan MA, Haque S, Harandi H, Harlianto NI, Hasan SMM, Hasan SS, Hasani H, Hassanipour S, Hassen MB, Haubold J, Hayat K, Heidari G, Heidari M, Hessami K, Hiraike Y, Holla R, Hossain S, Hossain MS, Hosseini MS, Hosseinzadeh M, Hosseinzadeh H, Huang J, Huda MN, Hussain S, Huynh HH, Hwang BF, Ibitoye SE, Ikeda N, Ilic IM, Ilic MD, Inbaraj LR, Iqbal A, Islam SMS, Islam RM, Ismail NE, Iso H, Isola G, Itumalla R, Iwagami M, Iwu CCD, Iyamu IO, Iyasu AN, Jacob L, Jafarzadeh A, Jahrami H, Jain R, Jaja C, Jamalpoor Z, Jamshidi E, Janakiraman B, Jayanna K, Jayapal SK, Jayaram S, Jayawardena R, Jebai R, Jeong W, Jin Y, Jokar M, Jonas JB, Joseph N, Joseph A, Joshua CE, Joukar F, Jozwiak JJ, Kaambwa B, Kabir A, Kabthymer RH, Kadashetti V, Kahe F, Kalhor R, Kandel H, Karanth SD, Karaye IM, Karkhah S, Katoto PDMC, Kaur N, Kazemian S, Kebede SA, Khader YS, Khajuria H, Khalaji A, Khan MAB, Khan M, Khan A, Khanal S, Khatatbeh MM, Khater AM, Khateri S, khorashadizadeh F, Khubchandani J, Kibret BG, Kim MS, Kimokoti RW, Kisa A, Kivimäki M, Kolahi AA, Komaki S, Kompani F, Koohestani HR, Korzh O, Kostev K, Kothari N, Koyanagi A, Krishan K, Krishnamoorthy Y, Kuate Defo B, Kuddus M, Kuddus MA, Kumar R, Kumar H, Kundu S, Kurniasari MD, Kuttikkattu A, La Vecchia C, Lallukka T, Larijani B, Larsson AO, Latief K, Lawal BK, Le TTT, Le TTB, Lee SWH, Lee M, Lee WC, Lee PH, Lee SW, Lee SW, Legesse SM, Lenzi J, Li Y, Li MC, Lim SS, Lim LL, Liu X, Liu C, Lo CH, Lopes G, Lorkowski S, Lozano R, Lucchetti G, Maghazachi AA, Mahasha PW, Mahjoub S, Mahmoud MA, Mahmoudi R, Mahmoudimanesh M, Mai AT, Majeed A, Majma Sanaye P, Makris KC, Malhotra K, Malik AA, Malik I, Mallhi TH, Malta DC, Mamun AA, Mansouri B, Marateb HR, Mardi P, Martini S, Martorell M, Marzo RR, Masoudi R, Masoudi S, Mathews E, Maugeri A, Mazzaglia G, Mekonnen T, Meshkat M, Mestrovic T, Miao Jonasson J, Miazgowski T, Michalek IM, Minh LHN, Mini GK, Miranda JJ, Mirfakhraie R, Mirrakhimov EM, Mirza-Aghazadeh-Attari M, Misganaw A, Misgina KH, Mishra M, Moazen B, Mohamed NS, Mohammadi E, Mohammadi M, Mohammadian-Hafshejani A, Mohammadshahi M, Mohseni A, Mojiri-forushani H, Mokdad AH, Momtazmanesh S, Monasta L, Moniruzzaman M, Mons U, Montazeri F, Moodi Ghalibaf A, Moradi Y, Moradi M, Moradi Sarabi M, Morovatdar N, Morrison SD, Morze J, Mossialos E, Mostafavi E, Mueller UO, Mulita F, Mulita A, Murillo-Zamora E, Musa KI, Mwita JC, Nagaraju SP, Naghavi M, Nainu F, Nair TS, Najmuldeen HHR, Nangia V, Nargus S, Naser AY, Nassereldine H, Natto ZS, Nauman J, Nayak BP, Ndejjo R, Negash H, Negoi RI, Nguyen HTH, Nguyen DH, Nguyen PT, Nguyen VT, Nguyen HQ, Niazi RK, Nigatu YT, Ningrum DNA, Nizam MA, Nnyanzi LA, Noreen M, Noubiap JJ, Nzoputam OJ, Nzoputam CI, Oancea B, Odogwu NM, Odukoya OO, Ojha VA, Okati-Aliabad H, Okekunle AP, Okonji OC, Okwute PG, Olufadewa II, Onwujekwe OE, Ordak M, Ortiz A, Osuagwu UL, Oulhaj A, Owolabi MO, Padron-Monedero A, Padubidri JR, Palladino R, Panagiotakos D, Panda-Jonas S, Pandey A, Pandey A, Pandi-Perumal SR, Pantea Stoian AM, Pardhan S, Parekh T, Parekh U, Pasovic M, Patel J, Patel JR, Paudel U, Pepito VCF, Pereira M, Perico N, Perna S, Petcu IR, Petermann-Rocha FE, Podder V, Postma MJ, Pourali G, Pourtaheri N, Prates EJS, Qadir MMF, Qattea I, Raee P, Rafique I, Rahimi M, Rahimifard M, Rahimi-Movaghar V, Rahman MO, Rahman MA, Rahman MHU, Rahman M, Rahman MM, Rahmani M, Rahmani S, Rahmanian V, Rahmawaty S, Rahnavard N, Rajbhandari B, Ram P, Ramazanu S, Rana J, Rancic N, Ranjha MMAN, Rao CR, Rapaka D, Rasali DP, Rashedi S, Rashedi V, Rashid AM, Rashidi MM, Ratan ZA, Rawaf S, Rawal L, Redwan EMM, Remuzzi G, Rengasamy KRR, Renzaho AMN, Reyes LF, Rezaei N, Rezaei N, Rezaeian M, Rezazadeh H, Riahi SM, Rias YA, Riaz M, Ribeiro D, Rodrigues M, Rodriguez JAB, Roever L, Rohloff P, Roshandel G, Roustazadeh A, Rwegerera GM, Saad AMA, Saber-Ayad MM, Sabour S, Sabzmakan L, Saddik B, Sadeghi E, Saeed U, Saeedi Moghaddam S, Safi S, Safi SZ, Saghazadeh A, Saheb Sharif-Askari N, Saheb Sharif-Askari F, Sahebkar A, Sahoo SS, Sahoo H, Saif-Ur-Rahman KM, Sajid MR, Salahi S, Salahi S, Saleh MA, Salehi MA, Salomon JA, Sanabria J, Sanjeev RK, Sanmarchi F, Santric-Milicevic MM, Sarasmita MA, Sargazi S, Sathian B, Sathish T, Sawhney M, Schlaich MP, Schmidt MI, Schuermans A, Seidu AA, Senthil Kumar N, Sepanlou SG, Sethi Y, Seylani A, Shabany M, Shafaghat T, Shafeghat M, Shafie M, Shah NS, Shahid S, Shaikh MA, Shanawaz M, Shannawaz M, Sharfaei S, Shashamo BB, Shiri R, Shittu A, Shivakumar KM, Shivalli S, Shobeiri P, Shokri F, Shuval K, Sibhat MM, Silva LMLR, Simpson CR, Singh JA, Singh P, Singh S, Siraj MS, Skryabina AA, Sohag AAM, Soleimani H, Solikhah S, Soltani-Zangbar MS, Somayaji R, Sorensen RJD, Starodubova AV, Sujata S, Suleman M, Sun J, Sundström J, Tabarés-Seisdedos R, Tabatabaei SM, Tabatabaeizadeh SA, Tabish M, Taheri M, Taheri E, Taki E, Tamuzi JJLL, Tan KK, Tat NY, Taye BT, Temesgen WA, Temsah MH, Tesler R, Thangaraju P, Thankappan KR, Thapa R, Tharwat S, Thomas N, Ticoalu JHV, Tiyuri A, Tonelli M, Tovani-Palone MR, Trico D, Trihandini I, Tripathy JP, Tromans SJ, Tsegay GM, Tualeka AR, Tufa DG, Tyrovolas S, Ullah S, Upadhyay E, Vahabi SM, Vaithinathan AG, Valizadeh R, van Daalen KR, Vart P, Varthya SB, Vasankari TJ, Vaziri S, Verma MV, Verras GI, Vo DC, Wagaye B, Waheed Y, Wang Z, Wang Y, Wang C, Wang F, Wassie GT, Wei MYW, Weldemariam AH, Westerman R, Wickramasinghe ND, Wu Y, Wulandari RDWI, Xia J, Xiao H, Xu S, Xu X, Yada DY, Yang L, Yatsuya H, Yesiltepe M, Yi S, Yohannis HK, Yonemoto N, You Y, Zaman SB, Zamora N, Zare I, Zarea K, Zarrintan A, Zastrozhin MS, Zeru NG, Zhang ZJ, Zhong C, Zhou J, Zielińska M, Zikarg YT, Zodpey S, Zoladl M, Zou Z, Zumla A, Zuniga YMH, Magliano DJ, Murray CJL, Hay SI, Vos T. Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2023; 402:203-234. [PMID: 37356446 PMCID: PMC10364581 DOI: 10.1016/s0140-6736(23)01301-6] [Citation(s) in RCA: 250] [Impact Index Per Article: 250.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/27/2023]
Abstract
BACKGROUND Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of type 1 and type 2 diabetes in 2021, the proportion of the type 2 diabetes burden attributable to selected risk factors, and projections of diabetes prevalence through 2050. METHODS Estimates of diabetes prevalence and burden were computed in 204 countries and territories, across 25 age groups, for males and females separately and combined; these estimates comprised lost years of healthy life, measured in disability-adjusted life-years (DALYs; defined as the sum of years of life lost [YLLs] and years lived with disability [YLDs]). We used the Cause of Death Ensemble model (CODEm) approach to estimate deaths due to diabetes, incorporating 25 666 location-years of data from vital registration and verbal autopsy reports in separate total (including both type 1 and type 2 diabetes) and type-specific models. Other forms of diabetes, including gestational and monogenic diabetes, were not explicitly modelled. Total and type 1 diabetes prevalence was estimated by use of a Bayesian meta-regression modelling tool, DisMod-MR 2.1, to analyse 1527 location-years of data from the scientific literature, survey microdata, and insurance claims; type 2 diabetes estimates were computed by subtracting type 1 diabetes from total estimates. Mortality and prevalence estimates, along with standard life expectancy and disability weights, were used to calculate YLLs, YLDs, and DALYs. When appropriate, we extrapolated estimates to a hypothetical population with a standardised age structure to allow comparison in populations with different age structures. We used the comparative risk assessment framework to estimate the risk-attributable type 2 diabetes burden for 16 risk factors falling under risk categories including environmental and occupational factors, tobacco use, high alcohol use, high body-mass index (BMI), dietary factors, and low physical activity. Using a regression framework, we forecast type 1 and type 2 diabetes prevalence through 2050 with Socio-demographic Index (SDI) and high BMI as predictors, respectively. FINDINGS In 2021, there were 529 million (95% uncertainty interval [UI] 500-564) people living with diabetes worldwide, and the global age-standardised total diabetes prevalence was 6·1% (5·8-6·5). At the super-region level, the highest age-standardised rates were observed in north Africa and the Middle East (9·3% [8·7-9·9]) and, at the regional level, in Oceania (12·3% [11·5-13·0]). Nationally, Qatar had the world's highest age-specific prevalence of diabetes, at 76·1% (73·1-79·5) in individuals aged 75-79 years. Total diabetes prevalence-especially among older adults-primarily reflects type 2 diabetes, which in 2021 accounted for 96·0% (95·1-96·8) of diabetes cases and 95·4% (94·9-95·9) of diabetes DALYs worldwide. In 2021, 52·2% (25·5-71·8) of global type 2 diabetes DALYs were attributable to high BMI. The contribution of high BMI to type 2 diabetes DALYs rose by 24·3% (18·5-30·4) worldwide between 1990 and 2021. By 2050, more than 1·31 billion (1·22-1·39) people are projected to have diabetes, with expected age-standardised total diabetes prevalence rates greater than 10% in two super-regions: 16·8% (16·1-17·6) in north Africa and the Middle East and 11·3% (10·8-11·9) in Latin America and Caribbean. By 2050, 89 (43·6%) of 204 countries and territories will have an age-standardised rate greater than 10%. INTERPRETATION Diabetes remains a substantial public health issue. Type 2 diabetes, which makes up the bulk of diabetes cases, is largely preventable and, in some cases, potentially reversible if identified and managed early in the disease course. However, all evidence indicates that diabetes prevalence is increasing worldwide, primarily due to a rise in obesity caused by multiple factors. Preventing and controlling type 2 diabetes remains an ongoing challenge. It is essential to better understand disparities in risk factor profiles and diabetes burden across populations, to inform strategies to successfully control diabetes risk factors within the context of multiple and complex drivers. FUNDING Bill & Melinda Gates Foundation.
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Pereira WDS, Lelis DF, Cunha RS, Griep RH, Barreto SM, Molina MDCB, Schmidt MI, Duncan BB, Bensenor I, Lotufo PA, Mill JG, Baldo MP. Fasting Glucose, Glycated Hemoglobin, and 2h Post-load Blood Glucose Are Independently Associated With Arterial Stiffness in Diabetes: The ELSA-Brasil Study. Angiology 2023:33197231166180. [PMID: 36951393 DOI: 10.1177/00033197231166180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/24/2023]
Abstract
The association of diabetes with increased large artery stiffness is not definitively established. We aimed to describe the carotid-femoral pulse wave velocity (cf-PWV) in participants with and without diabetes and whether the cf-PWV could vary among the different laboratory-based criteria used. A cross-sectional analysis using baseline data from 13,912 adults was used. cf-PWV as well as anthropometric, biochemical, and clinical data were measured. Diabetes was defined by previous medical diagnosis, medication use, fasting glucose, an oral glucose tolerance test (GTT), or glycated hemoglobin (HbA1c). The prevalence of diabetes was 18.7%, higher in men than in women. After adjustment, participants with diabetes showed higher cf-PWV (men: 9.7 ± 1.7 vs 9.4 ± 1.7 m/s, P < .05; women: 9.4 ± 1.6 vs 9.1 ± 1.7 m/s, P < .05). We observed a progressive increase in cf-PWV as >1 laboratory-based criterion for diabetes diagnosis was reached. Also, participants with diabetes with alterations in any laboratory-based criteria had higher cf-PWV than participants without diabetes, regardless of sex. In summary, diabetes is associated with higher cf-PWV as is each laboratory-based parameter used for its diagnosis. These results support the strong consequences of glucose dysregulation on the vascular system and provide evidence to screen all parameters involved in glycemic metabolism to improve vascular health.
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Affiliation(s)
- Wille D S Pereira
- Department of Pathophysiology, 153595Montes Claros State University (UNIMONTES), Montes Claros, Brazil
| | - Deborah F Lelis
- Department of Pathophysiology, 153595Montes Claros State University (UNIMONTES), Montes Claros, Brazil
| | - Roberto S Cunha
- Department of Physiological Sciences, 28126Federal University of Espírito Santo, Vitória, Brazil
| | - Rosane H Griep
- Laboratory of Health and Environment Education, 196605Oswaldo Cruz Institute, Rio de Janeiro, Brazil
| | - Sandhi M Barreto
- School of Medicine and Clinical Hospital/EBSERH, 28114Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Maria Del Carmen B Molina
- Post Graduate Programme in Public Health, 28126Federal University of Espírito Santo, Vitória, Brazil
| | - Maria Inês Schmidt
- School of Medicine and Hospital de Clínicas de Porto Alegre, 28114Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Bruce B Duncan
- School of Medicine and Hospital de Clínicas de Porto Alegre, 28114Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Isabela Bensenor
- Center for Clinical and Epidemiologic Research, University of São Paulo, São Paulo, Brazil
| | - Paulo A Lotufo
- Center for Clinical and Epidemiologic Research, University of São Paulo, São Paulo, Brazil
| | - José Geraldo Mill
- Department of Physiological Sciences, 28126Federal University of Espírito Santo, Vitória, Brazil
| | - Marcelo P Baldo
- Department of Pathophysiology, 153595Montes Claros State University (UNIMONTES), Montes Claros, Brazil
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Schmidt MI, Bracco PA, Duncan BB. Letter by Schmidt et al Regarding Article, "Risk of Macrovascular and Microvascular Disease in Diabetes Diagnosed Using Oral Glucose Tolerance Test With and Without Confirmation by Hemoglobin A1c: The Whitehall II Cohort Study". Circulation 2023; 147:987. [PMID: 36944034 DOI: 10.1161/circulationaha.122.062745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Affiliation(s)
| | - Paula A Bracco
- Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Bruce B Duncan
- Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
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Chwal BC, Dos Reis RCP, Schmidt MI, Duncan BB, Barreto SM, Griep RH. Levels and correlates of risk factor control in diabetes mellitus -ELSA-Brasil. Diabetol Metab Syndr 2023; 15:4. [PMID: 36604768 PMCID: PMC9817330 DOI: 10.1186/s13098-022-00961-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 12/02/2022] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Control of glucose, blood pressure, cholesterol, and smoking improves the prognosis of individuals with diabetes mellitus. Our objective was to assess the level of control of these risk factors in Brazilian adults with known diabetes and evaluate correlates of target achievement. METHODS Cross-sectional sample of the Brazilian Longitudinal Study of Adult Health, composed of participants reporting a previous diagnosis of diabetes or the use oof antidiabetic medication. We measured glycated hemoglobin (HbA1c) and LDL-cholesterol at a central laboratory and blood pressure following standardized protocols. We defined HbA1c < 7% as glucose control (target A); blood pressure < 140/90 mmHg (or < 130/80 mmHg in high cardiovascular risk) as blood pressure control (target B), and LDL-c < 100 mg/dl (or < 70 mg/dl in high risk) as lipid control (target C), according to the 2022 American Diabetes Association guidelines. RESULTS Among 2062 individuals with diabetes, 1364 (66.1%) reached target A, 1596 (77.4%) target B, and 1086 (52.7%) target C; only 590 (28.6%) achieved all three targets. When also considering a non-smoking target, those achieving all targets dropped to 555 (26.9%). Women (PR = 1.13; 95%CI 1.07-1.20), those aged ≥ 74 (PR = 1.20; 95%CI 1.08-1.34), and those with greater per capita income (e.g., greatest income PR = 1.26; 95%CI 1.10-1.45) were more likely to reach glucose control. Those black (PR = 0.91; 95%CI 0.83-1.00) or with a longer duration of diabetes (e.g., ≥ 10 years PR = 0.43; 95%CI 0.39-0.47) were less likely. Women (PR = 1.05; 95%CI 1.00-1.11) and those with private health insurance (PR = 1.15; 95%CI 1.07-1.23) were more likely to achieve two or more ABC targets; and those black (PR = 0.86; 95%CI 0.79-0.94) and with a longer duration of diabetes (e.g., > 10 years since diabetes diagnosis, PR = 0.68; 95%CI 0.63-0.73) less likely. CONCLUSION Control of ABC targets was poor, notably for LDL-c and especially when considering combined control. Indicators of a disadvantaged social situation were associated with less frequent control.
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Affiliation(s)
- Bruna Cristine Chwal
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, R. Ramiro Barcelos, 2600/518, Porto Alegre, Rio Grande do Sul, 90035-003, Brazil
| | - Rodrigo Citton Padilha Dos Reis
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, R. Ramiro Barcelos, 2600/518, Porto Alegre, Rio Grande do Sul, 90035-003, Brazil
- Departamento de Estatística, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Maria Inês Schmidt
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, R. Ramiro Barcelos, 2600/518, Porto Alegre, Rio Grande do Sul, 90035-003, Brazil
- Hospital de Clínicas de Porto Alegre, R. Ramiro Barcelos, 2600/518, Porto Alegre, Rio Grande do Sul, 90035-003, Brazil
| | - Bruce B Duncan
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, R. Ramiro Barcelos, 2600/518, Porto Alegre, Rio Grande do Sul, 90035-003, Brazil.
- Hospital de Clínicas de Porto Alegre, R. Ramiro Barcelos, 2600/518, Porto Alegre, Rio Grande do Sul, 90035-003, Brazil.
| | - Sandhi Maria Barreto
- Faculdade de Medicina e Hospital das Clínicas/EBSERH, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Minas Gerais, Brazil
| | - Rosane Harter Griep
- Laboratório de Educação em Ambiente e Saúde, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, Rio de Janeiro, Brazil
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Sánchez-Martínez Y, Goulart AC, de Almeida-Pititto B, Duncan BB, Schmidt MI, Santos IDS, Lotufo PA, Tebar WR, Benseñor IM. Association between Leisure-Time and Commute Physical Activity and Pre-Diabetes and Diabetes in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Int J Environ Res Public Health 2023; 20:806. [PMID: 36613128 PMCID: PMC9819344 DOI: 10.3390/ijerph20010806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 12/22/2022] [Accepted: 12/29/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND Diabetes is an important public health problem due to its health impairments and high costs for health services. We analyzed the relationship between the domains of physical activity at leisure-time (LTPA) and at commuting (CPA) with diabetes and pre-diabetes in an ELSA-Brasil study. METHODS Data from 11,797 participants (52.5% women, 49.1 ± 7.2 years) were analyzed. LTPA and CPA were measured using the International Physical Activity Questionnaire. Diabetes and pre-diabetes were defined by medical history, medication use to treat diabetes or blood glucose. Logistic regression models were performed to estimate the association between LTPA and CPA with diabetes and pre-diabetes after adjustment for sociodemographic and cardiovascular risk factors. RESULTS The prevalence of LTPA and CPA was 24.4% and 34%, respectively. Physically active participants at LTPA were less likely to have pre-diabetes (OR = 0.86 [95% CI = 0.77-0.95]) and diabetes (OR = 0.80 [95% CI = 0.69-0.93]), compared with inactive participants. No association between CPA and diabetes/pre-diabetes was observed. LTPA was inversely associated with diabetes among men (OR = 0.73 [95% CI = 0.60-0.89]), but was not associated among women. Women who were active (OR = 0.78 [95% CI = 0.67-0.90]) (OR = 0.79 [95% CI = 0.65-0.95]) at LTPA were less likely to have pre-diabetes, than inactive women. CONCLUSION LTPA was inversely associated with diabetes and pre-diabetes in the ELSA-Brasil participants. A different behavior was observed between genders.
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Affiliation(s)
- Yuri Sánchez-Martínez
- Center for Clinical and Epidemiologic Research, University Hospital, University of São Paulo, São Paulo 05508-000, Brazil
| | - Alessandra C. Goulart
- Center for Clinical and Epidemiologic Research, University Hospital, University of São Paulo, São Paulo 05508-000, Brazil
| | | | - Bruce B. Duncan
- Postgraduate Program in Epidemiology, School of Medicine and Hospital de Clínicas, Federal University of Rio Grande do Sul, Porto Alegre 90035-003, Brazil
| | - Maria Inês Schmidt
- Postgraduate Program in Epidemiology, School of Medicine and Hospital de Clínicas, Federal University of Rio Grande do Sul, Porto Alegre 90035-003, Brazil
| | - Itamar de Souza Santos
- Center for Clinical and Epidemiologic Research, University Hospital, University of São Paulo, São Paulo 05508-000, Brazil
| | - Paulo A. Lotufo
- Center for Clinical and Epidemiologic Research, University Hospital, University of São Paulo, São Paulo 05508-000, Brazil
| | - William R. Tebar
- Center for Clinical and Epidemiologic Research, University Hospital, University of São Paulo, São Paulo 05508-000, Brazil
| | - Isabela M. Benseñor
- Center for Clinical and Epidemiologic Research, University Hospital, University of São Paulo, São Paulo 05508-000, Brazil
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Santos KBM, dos Reis RCP, Duncan BB, D’Avila OP, Schmidt MI. Access to diabetes diagnosis in Brazil based on recent testing and consultation: The Brazilian national health survey, 2013 and 2019. Front Endocrinol (Lausanne) 2023; 14:1122164. [PMID: 37033271 PMCID: PMC10073740 DOI: 10.3389/fendo.2023.1122164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 03/02/2023] [Indexed: 04/11/2023] Open
Abstract
BACKGROUND Screening for undiagnosed diabetes using glucose testing is recommended globally to allow preventive action among those detected. Our aim was to evaluate the access to glucose testing to screen for diabetes in Brazil using self-reported information on recent testing and medical consultation from national surveys of Brazilian adults. METHODS The Pesquisa Nacional de Saúde (PNS) was conducted in 2013 and 2019 drawing probabilistic samples of Brazilians aged 18 years and above. To evaluate glucose testing among those undiagnosed, we excluded those self-reporting a previous diagnosis of diabetes. We then defined recent access to diabetes diagnosis by considering the previous two years and choosing the last blood glucose test and the proximal medical consultation reported. We used Poisson regression with robust variance to assess correlates of access, expressing them with adjusted prevalence ratios (PR) and their 95% confidence intervals. RESULTS Access to recent glucose testing documented that over 70% reported a recent glycemic test, 71% in 2013, and 77% in 2019. These findings are consistent with a wide recent access to medical consultation, 86% and 89% in 2013 and 2019, respectively. Reporting recent glucose testing and medical consultation may better reflect the actual access to medical diagnostic testing. When analyzing this joint outcome, diagnostic access was still wide, 67% and 74%, respectively. Greater access (p< 0.001) was seen for women (PR=1.16; 1.15-1.17), older individuals (PR=1.25; 1.22-1.28), and those with higher education (PR=1.17; 1.15-1.18), obesity (PR=1.06; 1.05-1.08), and hypertension (PR=1.12; 1.11-1.13). In contrast, lower access (p<0.001) was seen for those declaring being Black (PR=0.97; 0.95-0.99) or of mixed-race (PR=0.97; 0.96-0.98), those residing in rural areas (PR=0.89; 0.87-0.90), and not having a private health insurance plan (PR=0.85; 0.84-0.86). CONCLUSIONS Although access to diagnostic testing for diabetes is high in Brazil, partly due to its universal health system, social inequities are still present, demanding specific actions, particularly in rural areas and among those self-declaring as being Black or mixed-race.
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Affiliation(s)
- Karine Brito Matos Santos
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- School of Medicine, Universidade Estadual do Sudoeste da Bahia, Vitória da Conquista, Brazil
| | - Rodrigo Citton P. dos Reis
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Statistics Department, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- *Correspondence: Rodrigo Citton P. dos Reis,
| | - Bruce B. Duncan
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Social Medicine Department, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | | | - Maria Inês Schmidt
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Social Medicine Department, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
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Haakenstad A, Yearwood JA, Fullman N, Bintz C, Bienhoff K, Weaver MR, Nandakumar V, LeGrand KE, Knight M, Abbafati C, Abbasi-Kangevari M, Abdoli A, Abeldaño Zuñiga RA, Adedeji IA, Adekanmbi V, Adetokunboh OO, Afzal MS, Afzal S, Agudelo-Botero M, Ahinkorah BO, Ahmad S, Ahmadi A, Ahmadi S, Ahmed A, Ahmed Rashid T, Aji B, Akande-Sholabi W, Alam K, Al Hamad H, Alhassan RK, Ali L, Alipour V, Aljunid SM, Ameyaw EK, Amin TT, Amu H, Amugsi DA, Ancuceanu R, Andrade PP, Anjum A, Arabloo J, Arab-Zozani M, Ariffin H, Arulappan J, Aryan Z, Ashraf T, Atnafu DD, Atreya A, Ausloos M, Avila-Burgos L, Ayano G, Ayanore MA, Azari S, Badiye AD, Baig AA, Bairwa M, Bakkannavar SM, Baliga S, Banik PC, Bärnighausen TW, Barra F, Barrow A, Basu S, Bayati M, Belete R, Bell AW, Bhagat DS, Bhagavathula AS, Bhardwaj P, Bhardwaj N, Bhaskar S, Bhattacharyya K, Bhurtyal A, Bhutta ZA, Bibi S, Bijani A, Bikbov B, Biondi A, Bolarinwa OA, Bonny A, Brenner H, Buonsenso D, Burkart K, Busse R, Butt ZA, Butt NS, Caetano dos Santos FL, Cahuana-Hurtado L, Cámera LA, Cárdenas R, Carneiro VLA, Catalá-López F, Chandan JS, Charan J, Chavan PP, Chen S, Chen S, Choudhari SG, Chowdhury EK, Chowdhury MAK, Cirillo M, Corso B, Dadras O, Dahlawi SMA, Dai X, Dandona L, Dandona R, Dangel WJ, Dávila-Cervantes CA, Davletov K, Deuba K, Dhimal M, Dhimal ML, Djalalinia S, Do HP, Doshmangir L, Duncan BB, Effiong A, Ehsani-Chimeh E, Elgendy IY, Elhadi M, El Sayed I, El Tantawi M, Erku DA, Eskandarieh S, Fares J, Farzadfar F, Ferrero S, Ferro Desideri L, Fischer F, Foigt NA, Foroutan M, Fukumoto T, Gaal PA, Gaihre S, Gardner WM, Garg T, Getachew Obsa A, Ghafourifard M, Ghashghaee A, Ghith N, Gilani SA, Gill PS, Goharinezhad S, Golechha M, Guadamuz JS, Guo Y, Gupta RD, Gupta R, Gupta VK, Gupta VB, Hamiduzzaman M, Hanif A, Haro JM, Hasaballah AI, Hasan MM, Hasan MT, Hashi A, Hay SI, Hayat K, Heidari M, Heidari G, Henry NJ, Herteliu C, Holla R, Hossain S, Hossain SJ, Hossain MBH, Hosseinzadeh M, Hostiuc S, Hoveidamanesh S, Hsieh VCR, Hu G, Huang J, Huda MM, Ifeagwu SC, Ikuta KS, Ilesanmi OS, Irvani SSN, Islam RM, Islam SMS, Ismail NE, Iso H, Isola G, Itumalla R, Iwagami M, Jahani MA, Jahanmehr N, Jain R, Jakovljevic M, Janodia MD, Jayapal SK, Jayaram S, Jha RP, Jonas JB, Joo T, Joseph N, Jürisson M, Kabir A, Kalankesh LR, Kalhor R, Kamath AM, Kamenov K, Kandel H, Kantar RS, Kapoor N, Karanikolos M, Katikireddi SV, Kavetskyy T, Kawakami N, Kayode GA, Keikavoosi-Arani L, Keykhaei M, Khader YS, Khajuria H, Khalilov R, Khammarnia M, Khan MN, Khan MAB, Khan M, Khezeli M, Kim MS, Kim YJ, Kisa S, Kisa A, Klymchuk V, Koly KN, Korzh O, Kosen S, Koul PA, Kuate Defo B, Kumar GA, Kusuma D, Kyu HH, Larsson AO, Lasrado S, Lee WC, Lee YH, Lee CB, Li S, Lucchetti G, Mahajan PB, Majeed A, Makki A, Malekzadeh R, Malik AA, Malta DC, Mansournia MA, Mantovani LG, Martinez-Valle A, Martins-Melo FR, Masoumi SZ, Mathur MR, Maude RJ, Maulik PK, McKee M, Mendoza W, Menezes RG, Mensah GA, Meretoja A, Meretoja TJ, Mestrovic T, Michalek IM, Mirrakhimov EM, Misganaw A, Misra S, Moazen B, Mohammadi M, Mohammed S, Moitra M, Mokdad AH, Molokhia M, Monasta L, Moni MA, Moradi G, Moreira RS, Mosser JF, Mostafavi E, Mouodi S, Nagarajan AJ, Nagata C, Naghavi M, Nangia V, Narasimha Swamy S, Narayana AI, Nascimento BR, Nassereldine H, Nayak BP, Nazari J, Negoi I, Nepal S, Neupane Kandel S, Ngunjiri JW, Nguyen HLT, Nguyen CT, Ningrum DNA, Noubiap JJ, Oancea B, Oghenetega OB, Oh IH, Olagunju AT, Olakunde BO, Omar Bali A, Omer E, Onwujekwe OE, Otoiu A, Padubidri JR, Palladino R, Pana A, Panda-Jonas S, Pandi-Perumal SR, Pardhan S, Pasupula DK, Pathak PK, Patton GC, Pawar S, Pereira J, Pilania M, Piroozi B, Podder V, Pokhrel KN, Postma MJ, Prada SI, Quazi Syed Z, Rabiee N, Radhakrishnan RA, Rahman MM, Rahman M, Rahman M, Rahman MHU, Rahmani AM, Ranabhat CL, Rao CR, Rao SJ, Rasella D, Rawaf S, Rawaf DL, Rawal L, Renzaho AM, Reshmi B, Resnikoff S, Rezapour A, Riahi SM, Ripon RK, Sacco S, Sadeghi M, Saeed U, Sahebkar A, Sahiledengle B, Sahoo H, Sahu M, Salama JS, Salamati P, Samy AM, Sanabria J, Santric-Milicevic MM, Sathian B, Sawhney M, Schmidt MI, Seidu AA, Sepanlou SG, Seylani A, Shaikh MA, Sheikh A, Shetty A, Shigematsu M, Shiri R, Shivakumar KM, Shokri A, Singh JA, Sinha DN, Skryabin VY, Skryabina AA, Sofi-Mahmudi A, Sousa RARC, Stephens JH, Sun J, Szócska M, Tabarés-Seisdedos R, Tadbiri H, Tamiru AT, Thankappan KR, Topor-Madry R, Tovani-Palone MR, Tran MTN, Tran BX, Tripathi N, Tripathy JP, Troeger CE, Uezono DR, Ullah S, Ullah A, Unnikrishnan B, Vacante M, Valadan Tahbaz S, Valdez PR, Vasic M, Veroux M, Vervoort D, Violante FS, Vladimirov SK, Vlassov V, Vo B, Waheed Y, Wamai RG, Wang YP, Wang Y, Ward P, Wiangkham T, Yadav L, Yahyazadeh Jabbari SH, Yamagishi K, Yaya S, Yazdi-Feyzabadi V, Yi S, Yiğit V, Yonemoto N, Younis MZ, Yu C, Yunusa I, Zaman SB, Zastrozhin MS, Zhang ZJ, Zhong C, Zuniga YMH, Lim SS, Murray CJL, Lozano R. Assessing performance of the Healthcare Access and Quality Index, overall and by select age groups, for 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019. Lancet Glob Health 2022; 10:e1715-e1743. [PMID: 36209761 PMCID: PMC9666426 DOI: 10.1016/s2214-109x(22)00429-6] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 05/13/2022] [Accepted: 09/23/2022] [Indexed: 11/05/2022]
Abstract
BACKGROUND Health-care needs change throughout the life course. It is thus crucial to assess whether health systems provide access to quality health care for all ages. Drawing from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019), we measured the Healthcare Access and Quality (HAQ) Index overall and for select age groups in 204 locations from 1990 to 2019. METHODS We distinguished the overall HAQ Index (ages 0-74 years) from scores for select age groups: the young (ages 0-14 years), working (ages 15-64 years), and post-working (ages 65-74 years) groups. For GBD 2019, HAQ Index construction methods were updated to use the arithmetic mean of scaled mortality-to-incidence ratios (MIRs) and risk-standardised death rates (RSDRs) for 32 causes of death that should not occur in the presence of timely, quality health care. Across locations and years, MIRs and RSDRs were scaled from 0 (worst) to 100 (best) separately, putting the HAQ Index on a different relative scale for each age group. We estimated absolute convergence for each group on the basis of whether the HAQ Index grew faster in absolute terms between 1990 and 2019 in countries with lower 1990 HAQ Index scores than countries with higher 1990 HAQ Index scores and by Socio-demographic Index (SDI) quintile. SDI is a summary metric of overall development. FINDINGS Between 1990 and 2019, the HAQ Index increased overall (by 19·6 points, 95% uncertainty interval 17·9-21·3), as well as among the young (22·5, 19·9-24·7), working (17·2, 15·2-19·1), and post-working (15·1, 13·2-17·0) age groups. Large differences in HAQ Index scores were present across SDI levels in 2019, with the overall index ranging from 30·7 (28·6-33·0) on average in low-SDI countries to 83·4 (82·4-84·3) on average in high-SDI countries. Similarly large ranges between low-SDI and high-SDI countries, respectively, were estimated in the HAQ Index for the young (40·4-89·0), working (33·8-82·8), and post-working (30·4-79·1) groups. Absolute convergence in HAQ Index was estimated in the young group only. In contrast, divergence was estimated among the working and post-working groups, driven by slow progress in low-SDI countries. INTERPRETATION Although major gaps remain across levels of social and economic development, convergence in the young group is an encouraging sign of reduced disparities in health-care access and quality. However, divergence in the working and post-working groups indicates that health-care access and quality is lagging at lower levels of social and economic development. To meet the needs of ageing populations, health systems need to improve health-care access and quality for working-age adults and older populations while continuing to realise gains among the young. FUNDING Bill & Melinda Gates Foundation.
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Duncan BB. New metrics to support diabetes education and advocacy. Lancet Diabetes Endocrinol 2022; 10:765-766. [PMID: 36183735 DOI: 10.1016/s2213-8587(22)00271-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 09/13/2022] [Indexed: 11/24/2022]
Affiliation(s)
- Bruce B Duncan
- Postgraduate Program in Epidemiology and Department of Social Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, Brazil.
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Pitanga FJG, Almeida MDC, Duncan BB, Mill JG, Giatti L, Molina MDCB, da Fonseca MDJM, Schmidt MI, Griep RH, Barreto SM, de Matos SMA. Leisure Time Physical Activity and SARS-CoV-2 Infection among ELSA-Brasil Participants. Int J Environ Res Public Health 2022; 19:14155. [PMID: 36361033 PMCID: PMC9658418 DOI: 10.3390/ijerph192114155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 10/24/2022] [Accepted: 10/27/2022] [Indexed: 06/16/2023]
Abstract
The regular practice of physical activity (PA) can reduce the chance of aggravation of the disease and lower rates of hospitalization and mortality from COVID-19, but few studies have analyzed the association of PA with the risk of infection by SARS-CoV-2. The aim of the study was to analyze the association between PA and self-reported SARS-CoV-2 infection. A longitudinal study was conducted with data from 4476 ELSA-Brasil participants who had their PA analyzed twice, once in 2016-2018 and again in 2020. PA was identified using the IPAQ at both follow-up moments and categorized into four groups: (a) remained physically inactive (reference); (b) remained physically active; (c) became physically active in the second moment; and (d) became physically inactive in the second moment. The variables of age, sex, obesity, hypertension, diabetes and specific protective practices against COVID-19 were tested as possible confounders. Data were analyzed by logistic regression. A 95% confidence interval (CI) was used. Remaining physically active was associated with a 43% reduction in the risk of SARS-CoV-2 infection only among those who used specific practices to protect against COVID-19, OR = 0.57 and CI = 0.32-0.99. The results suggested that regular practice of PA can reduce the risk of SARS-CoV-2 infection, especially among those who have used specific practices to protect against COVID-19 during the pandemic.
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Affiliation(s)
- Francisco José Gondim Pitanga
- Postgraduate Program in Rehabilitation Sciences, Institute of Health Sciences, Federal University of Bahia (UFBA), Salvador 40110-150, Brazil
| | | | - Bruce B. Duncan
- Postgraduate Program in Epidemiology, Federal University of Rio Grande do Sul, Porto Alegre 90035-003, Brazil
| | - José Geraldo Mill
- Department of Physiological Sciences, Federal University of Espírito Santo, Vitória 29075-910, Brazil
| | - Luana Giatti
- Research Group on Epidemiology on Chronic and Occupational Diseases (GERMINAL), Faculty of Medicine & Clinical Hospital, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil
| | | | | | - Maria Inês Schmidt
- Postgraduate Program in Epidemiology, Federal University of Rio Grande do Sul, Porto Alegre 90035-003, Brazil
| | - Rosane Harter Griep
- Laboratory of Health and Environment Education, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro 21049-900, Brazil
| | - Sandhi Maria Barreto
- Research Group on Epidemiology on Chronic and Occupational Diseases (GERMINAL), Faculty of Medicine & Clinical Hospital, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil
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Wulf Hanson S, Abbafati C, Aerts JG, Al-Aly Z, Ashbaugh C, Ballouz T, Blyuss O, Bobkova P, Bonsel G, Borzakova S, Buonsenso D, Butnaru D, Carter A, Chu H, De Rose C, Diab MM, Ekbom E, El Tantawi M, Fomin V, Frithiof R, Gamirova A, Glybochko PV, Haagsma JA, Haghjooy Javanmard S, Hamilton EB, Harris G, Heijenbrok-Kal MH, Helbok R, Hellemons ME, Hillus D, Huijts SM, Hultström M, Jassat W, Kurth F, Larsson IM, Lipcsey M, Liu C, Loflin CD, Malinovschi A, Mao W, Mazankova L, McCulloch D, Menges D, Mohammadifard N, Munblit D, Nekliudov NA, Ogbuoji O, Osmanov IM, Peñalvo JL, Petersen MS, Puhan MA, Rahman M, Rass V, Reinig N, Ribbers GM, Ricchiuto A, Rubertsson S, Samitova E, Sarrafzadegan N, Shikhaleva A, Simpson KE, Sinatti D, Soriano JB, Spiridonova E, Steinbeis F, Svistunov AA, Valentini P, van de Water BJ, van den Berg-Emons R, Wallin E, Witzenrath M, Wu Y, Xu H, Zoller T, Adolph C, Albright J, Amlag JO, Aravkin AY, Bang-Jensen BL, Bisignano C, Castellano R, Castro E, Chakrabarti S, Collins JK, Dai X, Daoud F, Dapper C, Deen A, Duncan BB, Erickson M, Ewald SB, Ferrari AJ, Flaxman AD, Fullman N, Gamkrelidze A, Giles JR, Guo G, Hay SI, He J, Helak M, Hulland EN, Kereselidze M, Krohn KJ, Lazzar-Atwood A, Lindstrom A, Lozano R, Malta DC, Månsson J, Mantilla Herrera AM, Mokdad AH, Monasta L, Nomura S, Pasovic M, Pigott DM, Reiner RC, Reinke G, Ribeiro ALP, Santomauro DF, Sholokhov A, Spurlock EE, Walcott R, Walker A, Wiysonge CS, Zheng P, Bettger JP, Murray CJL, Vos T. Estimated Global Proportions of Individuals With Persistent Fatigue, Cognitive, and Respiratory Symptom Clusters Following Symptomatic COVID-19 in 2020 and 2021. JAMA 2022; 328:1604-1615. [PMID: 36215063 PMCID: PMC9552043 DOI: 10.1001/jama.2022.18931] [Citation(s) in RCA: 281] [Impact Index Per Article: 140.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 09/25/2022] [Indexed: 01/14/2023]
Abstract
Importance Some individuals experience persistent symptoms after initial symptomatic SARS-CoV-2 infection (often referred to as Long COVID). Objective To estimate the proportion of males and females with COVID-19, younger or older than 20 years of age, who had Long COVID symptoms in 2020 and 2021 and their Long COVID symptom duration. Design, Setting, and Participants Bayesian meta-regression and pooling of 54 studies and 2 medical record databases with data for 1.2 million individuals (from 22 countries) who had symptomatic SARS-CoV-2 infection. Of the 54 studies, 44 were published and 10 were collaborating cohorts (conducted in Austria, the Faroe Islands, Germany, Iran, Italy, the Netherlands, Russia, Sweden, Switzerland, and the US). The participant data were derived from the 44 published studies (10 501 hospitalized individuals and 42 891 nonhospitalized individuals), the 10 collaborating cohort studies (10 526 and 1906), and the 2 US electronic medical record databases (250 928 and 846 046). Data collection spanned March 2020 to January 2022. Exposures Symptomatic SARS-CoV-2 infection. Main Outcomes and Measures Proportion of individuals with at least 1 of the 3 self-reported Long COVID symptom clusters (persistent fatigue with bodily pain or mood swings; cognitive problems; or ongoing respiratory problems) 3 months after SARS-CoV-2 infection in 2020 and 2021, estimated separately for hospitalized and nonhospitalized individuals aged 20 years or older by sex and for both sexes of nonhospitalized individuals younger than 20 years of age. Results A total of 1.2 million individuals who had symptomatic SARS-CoV-2 infection were included (mean age, 4-66 years; males, 26%-88%). In the modeled estimates, 6.2% (95% uncertainty interval [UI], 2.4%-13.3%) of individuals who had symptomatic SARS-CoV-2 infection experienced at least 1 of the 3 Long COVID symptom clusters in 2020 and 2021, including 3.2% (95% UI, 0.6%-10.0%) for persistent fatigue with bodily pain or mood swings, 3.7% (95% UI, 0.9%-9.6%) for ongoing respiratory problems, and 2.2% (95% UI, 0.3%-7.6%) for cognitive problems after adjusting for health status before COVID-19, comprising an estimated 51.0% (95% UI, 16.9%-92.4%), 60.4% (95% UI, 18.9%-89.1%), and 35.4% (95% UI, 9.4%-75.1%), respectively, of Long COVID cases. The Long COVID symptom clusters were more common in women aged 20 years or older (10.6% [95% UI, 4.3%-22.2%]) 3 months after symptomatic SARS-CoV-2 infection than in men aged 20 years or older (5.4% [95% UI, 2.2%-11.7%]). Both sexes younger than 20 years of age were estimated to be affected in 2.8% (95% UI, 0.9%-7.0%) of symptomatic SARS-CoV-2 infections. The estimated mean Long COVID symptom cluster duration was 9.0 months (95% UI, 7.0-12.0 months) among hospitalized individuals and 4.0 months (95% UI, 3.6-4.6 months) among nonhospitalized individuals. Among individuals with Long COVID symptoms 3 months after symptomatic SARS-CoV-2 infection, an estimated 15.1% (95% UI, 10.3%-21.1%) continued to experience symptoms at 12 months. Conclusions and Relevance This study presents modeled estimates of the proportion of individuals with at least 1 of 3 self-reported Long COVID symptom clusters (persistent fatigue with bodily pain or mood swings; cognitive problems; or ongoing respiratory problems) 3 months after symptomatic SARS-CoV-2 infection.
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Affiliation(s)
- Sarah Wulf Hanson
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Cristiana Abbafati
- Department of Juridical and Economic Studies, La Sapienza University, Rome, Italy
| | - Joachim G Aerts
- Department of Pulmonary Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Ziyad Al-Aly
- John T. Milliken Department of Internal Medicine, Washington University in St Louis, St Louis, Missouri
- Clinical Epidemiology Center, US Department of Veterans Affairs, St Louis, Missouri
| | - Charlie Ashbaugh
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Tala Ballouz
- Epidemiology, Biostatistics, and Prevention Institute, University of Zürich, Zurich, Switzerland
| | - Oleg Blyuss
- Wolfson Institute of Population Health, Queen Mary University of London, London, England
- Department of Pediatrics and Pediatric Infectious Diseases, I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Polina Bobkova
- Clinical Medicine (Pediatric Profile), I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Gouke Bonsel
- EuroQol Research Foundation, Rotterdam, the Netherlands
| | - Svetlana Borzakova
- Pirogov Russian National Research Medical University, Moscow
- Research Institute for Healthcare Organization and Medical Management, Moscow Healthcare Department, Moscow, Russia
| | - Danilo Buonsenso
- Department of Woman and Child Health and Public Health, Agostino Gemelli University Polyclinic IRCCS, Rome, Italy
- Global Health Research Institute, Catholic University of Sacred Heart, Rome, Italy
| | - Denis Butnaru
- I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Austin Carter
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Helen Chu
- Department of Medicine, University of Washington, Seattle
| | - Cristina De Rose
- Department of Woman and Child Health and Public Health, Agostino Gemelli University Polyclinic IRCCS, Rome, Italy
| | - Mohamed Mustafa Diab
- Center for Policy Impact in Global Health, Duke University, Durham, North Carolina
- Department of Surgery, Duke University, Durham, North Carolina
| | - Emil Ekbom
- Uppsala University Hospital, Uppsala, Sweden
| | - Maha El Tantawi
- Pediatric Dentistry and Dental Public Health Department, Alexandria University, Alexandria, Egypt
| | - Victor Fomin
- Rector's Office, I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Robert Frithiof
- Department of Surgical Sciences, Anesthesiology, and Intensive Care Medicine, Uppsala University, Uppsala, Sweden
| | - Aysylu Gamirova
- Clinical Medicine (General Medicine Profile), I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Petr V Glybochko
- Administration Department, I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Juanita A Haagsma
- Department of Public Health, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Shaghayegh Haghjooy Javanmard
- Applied Physiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Erin B Hamilton
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | | | - Majanka H Heijenbrok-Kal
- Department of Rehabilitation Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
- Neurorehabilitation, Rijndam Rehabilitation, Rotterdam, the Netherlands
| | - Raimund Helbok
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
| | - Merel E Hellemons
- Department of Pulmonary Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - David Hillus
- Department of Infectious Diseases and Respiratory Medicine, Charité Medical University Berlin, Berlin, Germany
| | - Susanne M Huijts
- Department of Respiratory Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Michael Hultström
- Department of Surgical Sciences, Anesthesiology, and Intensive Care Medicine, Uppsala University, Uppsala, Sweden
- Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
| | - Waasila Jassat
- Department of Public Health Surveillance and Response, National Institute for Communicable Diseases, Johannesburg, South Africa
| | - Florian Kurth
- Department of Infectious Diseases and Respiratory Medicine, Charité University Medical Center Berlin, Berlin, Germany
- Department of Clinical Research and Tropical Medicine, Bernhard-Nocht Institute of Tropical Medicine, Hamburg, Germany
| | - Ing-Marie Larsson
- Department of Surgical Sciences, Anesthesiology, and Intensive Care Medicine, Uppsala University, Uppsala, Sweden
| | - Miklós Lipcsey
- Department of Surgical Sciences, Anesthesiology, and Intensive Care Medicine, Uppsala University, Uppsala, Sweden
| | - Chelsea Liu
- Department of Epidemiology, Harvard University, Boston, Massachusetts
| | | | | | - Wenhui Mao
- Center for Policy Impact in Global Health, Duke University, Durham, North Carolina
- Duke Global Health Institute, Duke University, Durham, North Carolina
| | - Lyudmila Mazankova
- Russian Medical Academy of Continuous Professional Education, Ministry of Healthcare of the Russian Federation, Moscow
| | | | - Dominik Menges
- Epidemiology, Biostatistics, and Prevention Institute, University of Zürich, Zurich, Switzerland
| | - Noushin Mohammadifard
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Daniel Munblit
- Department of Pediatrics and Pediatric Infectious Diseases, I. M. Sechenov First Moscow State Medical University, Moscow, Russia
- National Heart and Lung Institute, Imperial College London, London, England
| | - Nikita A Nekliudov
- Clinical Medicine (General Medicine Profile), I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Osondu Ogbuoji
- Duke Global Health Institute, Duke University, Durham, North Carolina
| | - Ismail M Osmanov
- Pirogov Russian National Research Medical University, Moscow
- ZA Bashlyaeva Children's Municipal Clinical Hospital, Moscow, Russia
| | - José L Peñalvo
- Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts
| | - Maria Skaalum Petersen
- Department of Occupational Medicine and Public Health, Faroese Hospital System, Torshavn, Faroe Islands
- Centre of Health Science, University of Faroe Islands, Torshavn
| | - Milo A Puhan
- Epidemiology, Biostatistics, and Prevention Institute, University of Zürich, Zurich, Switzerland
- Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland
| | - Mujibur Rahman
- Department of Internal Medicine, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh
| | - Verena Rass
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
| | - Nickolas Reinig
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Gerard M Ribbers
- Department of Rehabilitation Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Antonia Ricchiuto
- Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Sten Rubertsson
- Department of Surgical Sciences, Anesthesiology, and Intensive Care Medicine, Uppsala University, Uppsala, Sweden
- Department of Surgical Sciences, Hedenstierna Laboratory, Uppsala University, Uppsala, Sweden
| | - Elmira Samitova
- Russian Medical Academy of Continuous Professional Education, Ministry of Healthcare of the Russian Federation, Moscow
- ZA Bashlyaeva Children's Municipal Clinical Hospital, Moscow, Russia
| | - Nizal Sarrafzadegan
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
- School of Population and Public Health, University of British Columbia, Vancouver, Canada
| | - Anastasia Shikhaleva
- Clinical Medicine (Pediatric Profile), I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Kyle E Simpson
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Dario Sinatti
- Department of Woman and Child Health and Public Health, Agostino Gemelli University Polyclinic IRCCS, Rome, Italy
| | - Joan B Soriano
- Hospital Universitario de La Princesa, Madrid, Spain
- Centro de Investigación Biomédica en Red Enfermedades Respiratorias (Center for Biomedical Research in Respiratory Diseases Network), Madrid, Spain
| | - Ekaterina Spiridonova
- Clinical Medicine (General Medicine Profile), I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Fridolin Steinbeis
- Department of Infectious Diseases and Respiratory Medicine, Charité Medical University Berlin, Berlin, Germany
| | - Andrey A Svistunov
- Administration Department, I. M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Piero Valentini
- Department of Woman and Child Health and Public Health, Agostino Gemelli University Polyclinic IRCCS, Rome, Italy
| | - Brittney J van de Water
- Department of Global Health and Social Medicine, Harvard University, Boston, Massachusetts
- Nursing and Midwifery Department, Seed Global Health, Boston, Massachusetts
| | - Rita van den Berg-Emons
- Department of Rehabilitation Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Ewa Wallin
- Department of Surgical Sciences, Anesthesiology, and Intensive Care Medicine, Uppsala University, Uppsala, Sweden
| | - Martin Witzenrath
- Department of Infectious Diseases and Respiratory Medicine, Charité University Medical Center Berlin, Berlin, Germany
- German Center for Lung Research, Berlin
| | - Yifan Wu
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Hanzhang Xu
- Department of Family Medicine and Community Health, Duke University, Durham, North Carolina
| | - Thomas Zoller
- Department of Infectious Diseases and Respiratory Medicine, Charité Medical University Berlin, Berlin, Germany
| | - Christopher Adolph
- Department of Political Science, University of Washington, Seattle
- Center for Statistics and the Social Sciences, University of Washington, Seattle
| | - James Albright
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Joanne O Amlag
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Aleksandr Y Aravkin
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Applied Mathematics, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Bree L Bang-Jensen
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Catherine Bisignano
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Rachel Castellano
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Emma Castro
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Suman Chakrabarti
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Global Health, University of Washington, Seattle
| | - James K Collins
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Xiaochen Dai
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Farah Daoud
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Carolyn Dapper
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Amanda Deen
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Bruce B Duncan
- Postgraduate Program in Epidemiology, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Megan Erickson
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Samuel B Ewald
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Alize J Ferrari
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- School of Public Health, University of Queensland, Brisbane, Australia
| | - Abraham D Flaxman
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Nancy Fullman
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | | | - John R Giles
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Gaorui Guo
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Simon I Hay
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Jiawei He
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Monika Helak
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Erin N Hulland
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Global Health, University of Washington, Seattle
| | - Maia Kereselidze
- National Center for Disease Control and Public Health, Tbilisi, Georgia
| | - Kris J Krohn
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Alice Lazzar-Atwood
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Akiaja Lindstrom
- School of Public Health, University of Queensland, Brisbane, Australia
- School of Public Health, Queensland Centre for Mental Health Research, Wacol, Australia
| | - Rafael Lozano
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Deborah Carvalho Malta
- Department of Maternal and Child Nursing and Public Health, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Johan Månsson
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Ana M Mantilla Herrera
- School of Public Health, University of Queensland, Brisbane, Australia
- West Moreton Hospital Health Services, Queensland Centre for Mental Health Research, Wacol, Australia
| | - Ali H Mokdad
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Lorenzo Monasta
- Clinical Epidemiology and Public Health Research Unit, Burlo Garofolo Institute for Maternal and Child Health, Trieste, Italy
| | - Shuhei Nomura
- Department of Health Policy and Management, Keio University, Tokyo, Japan
- Department of Global Health Policy, University of Tokyo, Tokyo, Japan
| | - Maja Pasovic
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - David M Pigott
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Robert C Reiner
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Grace Reinke
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Antonio Luiz P Ribeiro
- Department of Internal Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil
- Centre of Telehealth, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Damian Francesco Santomauro
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- School of Public Health, University of Queensland, Brisbane, Australia
- Policy and Epidemiology Group, Queensland Centre for Mental Health Research, Wacol, Australia
| | - Aleksei Sholokhov
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Emma Elizabeth Spurlock
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Social and Behavioral Sciences, School of Public Health, Yale University, New Haven, Connecticut
| | - Rebecca Walcott
- Evans School of Public Policy and Governance, University of Washington, Seattle
| | - Ally Walker
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Charles Shey Wiysonge
- Cochrane South Africa, South African Medical Research Council, Cape Town
- HIV and Other Infectious Diseases Research Unit, South African Medical Research Council, Durban
| | - Peng Zheng
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Janet Prvu Bettger
- Department of Orthopedic Surgery, Duke University, Durham, North Carolina
| | - Christopher J L Murray
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Theo Vos
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
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Griep RH, Almeida MDCC, Barreto SM, Brunoni AR, Duncan BB, Giatti L, Mill JG, Molina MDCB, Moreno AB, Patrão AL, Schmidt MI, da Fonseca MDJM. Working from home, work-time control and mental health: Results from the Brazilian longitudinal study of adult health (ELSA-Brasil). Front Psychol 2022; 13:993317. [PMID: 36262442 PMCID: PMC9574257 DOI: 10.3389/fpsyg.2022.993317] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 08/29/2022] [Indexed: 11/22/2022] Open
Abstract
This cross-sectional study investigated the association between work-time control (WTC), independently and in combination with hours worked (HW), and four mental health outcomes among 2,318 participants of the Longitudinal Study of Adult Health (ELSA-Brasil) who worked from home during the COVID-19 pandemic. WTC was assessed by the WTC Scale, and mental health outcomes included depression, anxiety, stress (measured by the Depression, Anxiety and Stress Scale, DASS-21), and self-rated mental health. Logistic regression models were used to determine odds ratios (ORs) and 95% confidence intervals (CIs). Among women, long HW were associated with stress (OR = 1.56; 95% CI = 1.11–2.20) and poor self-rated mental health (OR = 1.64; 95% CI = 1.13–2.38), whereas they were protective against anxiety among men (OR = 0.59; 95% CI = 0.37–0.93). In both sexes, weak WTC was associated with all mental health outcomes. Among women, the long HW/weak WTC combination was associated with all mental health outcomes, and short HW/weak WTC was associated with anxiety and stress. Among men, long HW/strong WTC was protective against depression and stress, while short HW/strong WTC and short HW/weak WTC was associated with all mental health outcomes. In both sexes, weak WTC, independently and in combination with HW, was associated with all mental health outcomes. WTC can improve working conditions, protect against mental distress, and fosterwork-life balance for those who work from home.
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Affiliation(s)
- Rosane Harter Griep
- Laboratory of Health and Environmental Education, Instituto Oswaldo Cruz, Rio de Janeiro, Brazil
- *Correspondence: Rosane Harter Griep, ; orcid.org/0000-0002-6250-2036
| | | | - Sandhi Maria Barreto
- School of Medicine and Hospital das Clínicas/EBSERH, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - André R. Brunoni
- School of Medicine, Universidade de São Paulo, São Paulo, Brazil
| | - Bruce B. Duncan
- Postgraduate Programme in Epidemiology and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Luana Giatti
- School of Medicine and Hospital das Clínicas/EBSERH, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - José Geraldo Mill
- Department of Physiological Sciences, Universidade Federal do Espírito Santo, Vitória, Brazil
| | - Maria del Carmen B. Molina
- Postgraduate Programme in Health and Nutrition, Universidade Federal do Ouro Preto, Ouro Preto, Brazil
- Postgraduate Programme in Collective Health, Universidade Federal do Espírito Santo, Vitória, Brazil
| | - Arlinda B. Moreno
- Department of Epidemiology and Quantitative Methods in Health, Escola Nacional de Saúde Pública Sérgio Arouca, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | - Ana Luisa Patrão
- Center for Psychology, Faculty of Psychology and Education Science of the University of Porto, Porto, Portugal
- Institute of Collective Health, Federal University of Bahia, Salvador, Brazil
| | - Maria Inês Schmidt
- Postgraduate Programme in Epidemiology and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Maria de Jesus Mendes da Fonseca
- Department of Epidemiology and Quantitative Methods in Health, Escola Nacional de Saúde Pública Sérgio Arouca, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
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30
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Martins KPMP, Barreto SM, Bos D, Pedrosa J, Azevedo DRM, Araújo LF, Foppa M, Duncan BB, Ribeiro ALP, Brant LCC. Epicardial Fat Volume Is Associated with Endothelial Dysfunction, but not with Coronary Calcification: From the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Arq Bras Cardiol 2022; 119:912-920. [PMID: 36228276 PMCID: PMC9814820 DOI: 10.36660/abc.20210750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 06/15/2022] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND The increase in epicardial fat volume (EFV) is related to coronary artery disease (CAD), independent of visceral or subcutaneous fat. The mechanism underlying this association is unclear. Coronary artery calcium (CAC) score and endothelial dysfunction are related to coronary events, but whether EFV is related to these markers needs further clarification. OBJECTIVES To evaluate the association between automatically measured EFV, cardiovascular risk factors, CAC, and endothelial function. METHODS In 470 participants from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) with measures of EFV, CAC score and endothelial function, we performed multivariable models to evaluate the relation between cardiovascular risk factors and EFV (response variable), and between EFV (explanatory variable) and endothelial function variables or CAC score. Two-sided p <0.05 was considered statistically significant. RESULTS Mean age was 55 ± 8 years, 52.3% of patients were men. Mean EFV was 111mL (IQ 86-144), and the prevalence of CAC score=0 was 55%. In the multivariable analyses, increased EFV was related to female sex, older age, waist circumference, and triglycerides (p<0.001 for all). Higher EFV was associated with worse endothelial function: as compared with the first quartile, the odds ratio for basal pulse amplitude were (q2=1.22, 95%CI 1.07-1.40; q3=1.50, 95%CI 1.30-1.74; q4=1.50, 95%CI 1.28-1.79) and for peripheral arterial tonometry ratio were (q2=0.87, 95%CI 0.81-0.95; q3=0.86, 95%CI 0.79-0.94; q4=0.80, 95%CI 0.73-0.89), but not with CAC score>0. CONCLUSION Higher EFV was associated with impaired endothelial function, but not with CAC. The results suggest that EFV is related to the development of CAD through a pathway different from the CAC pathway, possibly through aggravation of endothelial dysfunction and microvascular disease.
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Affiliation(s)
- Karina P. M. P. Martins
- Hospital das ClínicasUniversidade Federal de Minas GeraisBelo HorizonteMGBrasil Hospital das Clínicas , Universidade Federal de Minas Gerais , Belo Horizonte , MG – Brasil ,Faculdade de MedicinaFaculdade de MedicinaPrograma de Pós-GraduaçãoBelo HorizonteMGBrasil Faculdade de Medicina , Programa de Pós-Graduação , Belo Horizonte , MG – Brasil
| | - Sandhi M. Barreto
- Faculdade de MedicinaFaculdade de MedicinaPrograma de Pós-GraduaçãoBelo HorizonteMGBrasil Faculdade de Medicina , Programa de Pós-Graduação , Belo Horizonte , MG – Brasil ,Departamento de Medicina Social e PreventivaUniversidade Federal de Minas GeraisBelo HorizonteMGBrasil Departamento de Medicina Social e Preventiva da Universidade Federal de Minas Gerais , Belo Horizonte , MG – Brasil
| | - Daniel Bos
- Departamento de EpidemiologiaErasmus MCHolanda Departamento de Epidemiologia , Erasmus MC – Holanda ,Departamento de Radiologia e Medicina NuclearErasmus MCHolanda Departamento de Radiologia e Medicina Nuclear , Erasmus MC – Holanda ,Departamento de Epidemiologia ClínicaHarvard TH Chan School of Public HealthBostonEUA Departamento de Epidemiologia Clínica - Harvard TH Chan School of Public Health , Boston – EUA
| | - Jesiana Pedrosa
- Departamento de Anatomia e ImagemUniversidade Federal de Minas GeraisBelo HorizonteMGBrasil Departamento de Anatomia e Imagem da Universidade Federal de Minas Gerais , Belo Horizonte , MG – Brasil
| | - Douglas R. M. Azevedo
- Departamento de EstatísticaUniversidade Federal de Minas GeraisBelo HorizonteMGBrasil Departamento de Estatística , Interno, Universidade Federal de Minas Gerais , Belo Horizonte , MG – Brasil
| | - Larissa Fortunato Araújo
- Secretaria de Saúde ComunitáriaUniversidade Federal do CearáFortalezaCEBrasil Secretaria de Saúde Comunitária , Universidade Federal do Ceará , Fortaleza , CE – Brasil
| | - Murilo Foppa
- Hospital das Clínicas de Porto AlegreUniversidade Federal do Rio Grande do SulPorto AlegreRSBrasil Hospital das Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS – Brasil
| | - Bruce B. Duncan
- Hospital das Clínicas de Porto AlegreUniversidade Federal do Rio Grande do SulPorto AlegreRSBrasil Hospital das Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS – Brasil ,Programa de Pós-GraduaçãoUniversidade Federal do Rio Grande do SulPorto AlegreRSBrasil Programa de Pós-Graduação, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS – Brasil
| | - Antonio Luiz P. Ribeiro
- Hospital das ClínicasUniversidade Federal de Minas GeraisBelo HorizonteMGBrasil Hospital das Clínicas , Universidade Federal de Minas Gerais , Belo Horizonte , MG – Brasil ,Faculdade de MedicinaFaculdade de MedicinaPrograma de Pós-GraduaçãoBelo HorizonteMGBrasil Faculdade de Medicina , Programa de Pós-Graduação , Belo Horizonte , MG – Brasil ,Departamento de Medicina InternaUniversidade Federal de Minas GeraisBelo HorizonteMGBrasil Departamento de Medicina Interna, Universidade Federal de Minas Gerais, Belo Horizonte, MG – Brasil
| | - Luisa C. C. Brant
- Hospital das ClínicasUniversidade Federal de Minas GeraisBelo HorizonteMGBrasil Hospital das Clínicas , Universidade Federal de Minas Gerais , Belo Horizonte , MG – Brasil ,Faculdade de MedicinaFaculdade de MedicinaPrograma de Pós-GraduaçãoBelo HorizonteMGBrasil Faculdade de Medicina , Programa de Pós-Graduação , Belo Horizonte , MG – Brasil ,Departamento de Medicina InternaUniversidade Federal de Minas GeraisBelo HorizonteMGBrasil Departamento de Medicina Interna, Universidade Federal de Minas Gerais, Belo Horizonte, MG – Brasil
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31
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Haueisen Sander Diniz MDF, M R Beleigoli A, Isabel Rodrigues Galvão A, Weiss Telles R, Inês Schmidt M, B Duncan B, M Benseñor I, Luiz P Ribeiro A, Vidigal PG, Maria Barreto S. Serum uric acid is a predictive biomarker of incident metabolic syndrome at the Brazilian longitudinal study of adult Health (ELSA - Brasil). Diabetes Res Clin Pract 2022; 191:110046. [PMID: 36028067 DOI: 10.1016/j.diabres.2022.110046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 07/13/2022] [Accepted: 08/17/2022] [Indexed: 11/22/2022]
Abstract
AIM To investigate whether serum uric acid (SUA) levels and hyperuricemia can be predictive biomarkers of incident metabolic syndrome(MS) among different body mass index(BMI) categories, and to investigate SUA cutoffs that best discriminate individuals with incident MS. METHODS We analyzed 7,789 participants without MS at baseline of ELSA-Brasil study. Logistic regression models were performed to evaluate associations between incident MS and SUA levels/hyperuricemia, expressed by odds ratios(ORs) and confidence intervals(95 % CI). RESULTS We found 1,646 incident MS cases after a median follow-up of 3.8[3.5-4.1] years. Incident MS was present among 8.3 % (n = 290) of participants with normal weight, 28.3 % (n = 850) with overweight, 39.8 % (n = 506) with obesity. Among incident MS participants of total sample, 33.0 % had hyperuricemia [SUA > 6.0 mg/dL (356.9 μmol/L)]. After all adjustments, SUA was independently prognostic of incident MS: for each 1 mg/dL increase in SUA the odds of incident MS were 45 % higher (OR1.45[CI95 %1.34-1.55 p <.01]). Associations were found for those presenting normal weight, overweight and obesity (OR1.43[CI95 %1.31-1.57 p <.01; OR1.22[CI95 %1.13-1.32 p <.01]; and OR1.16[CI95 %1.04-1.29 p <.05]) respectively. Hyperuricemia was independently associated with incident MS (OR1.88[CI95 %1.49-0.2.36 p <.01]). The SUA cut point level maximizing sensitivity and specificity in the discrimination of incident MS was 5.0 mg/dL. CONCLUSIONS SUA level is an independent predictive biomarker of incident MS at all BMI categories.
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Affiliation(s)
| | | | | | - Rosa Weiss Telles
- Faculty of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Maria Inês Schmidt
- Postgraduate Studies Program in Epidemiology, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Bruce B Duncan
- Postgraduate Studies Program in Epidemiology, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | | | - Antônio Luiz P Ribeiro
- Telehealth Center and Cardiology Service, Hospital das Clínicas, and Department of Internal Medicine, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Pedro G Vidigal
- Faculty of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Sandhi Maria Barreto
- Faculty of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
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Bryazka D, Reitsma MB, Griswold MG, Abate KH, Abbafati C, Abbasi-Kangevari M, Abbasi-Kangevari Z, Abdoli A, Abdollahi M, Abdullah AYM, Abhilash ES, Abu-Gharbieh E, Acuna JM, Addolorato G, Adebayo OM, Adekanmbi V, Adhikari K, Adhikari S, Adnani QES, Afzal S, Agegnehu WY, Aggarwal M, Ahinkorah BO, Ahmad AR, Ahmad S, Ahmad T, Ahmadi A, Ahmadi S, Ahmed H, Ahmed Rashid T, Akunna CJ, Al Hamad H, Alam MZ, Alem DT, Alene KA, Alimohamadi Y, Alizadeh A, Allel K, Alonso J, Alvand S, Alvis-Guzman N, Amare F, Ameyaw EK, Amiri S, Ancuceanu R, Anderson JA, Andrei CL, Andrei T, Arabloo J, Arshad M, Artamonov AA, Aryan Z, Asaad M, Asemahagn MA, Astell-Burt T, Athari SS, Atnafu DD, Atorkey P, Atreya A, Ausloos F, Ausloos M, Ayano G, Ayanore MAA, Ayinde OO, Ayuso-Mateos JL, Azadnajafabad S, Azanaw MM, Azangou-Khyavy M, Azari Jafari A, Azzam AY, Badiye AD, Bagheri N, Bagherieh S, Bairwa M, Bakkannavar SM, Bakshi RK, Balchut/Bilchut AH, Bärnighausen TW, Barra F, Barrow A, Baskaran P, Belo L, Bennett DA, Benseñor IM, Bhagavathula AS, Bhala N, Bhalla A, Bhardwaj N, Bhardwaj P, Bhaskar S, Bhattacharyya K, Bhojaraja VS, Bintoro BS, Blokhina EAE, Bodicha BBA, Boloor A, Bosetti C, Braithwaite D, Brenner H, Briko NI, Brunoni AR, Butt ZA, Cao C, Cao Y, Cárdenas R, Carvalho AF, Carvalho M, Castaldelli-Maia JM, Castelpietra G, Castro-de-Araujo LFS, Cattaruzza MS, Chakraborty PA, Charan J, Chattu VK, Chaurasia A, Cherbuin N, Chu DT, Chudal N, Chung SC, Churko C, Ciobanu LG, Cirillo M, Claro RM, Costanzo S, Cowden RG, Criqui MH, Cruz-Martins N, Culbreth GT, Dachew BA, Dadras O, Dai X, Damiani G, Dandona L, Dandona R, Daniel BD, Danielewicz A, Darega Gela J, Davletov K, de Araujo JAP, de Sá-Junior AR, Debela SA, Dehghan A, Demetriades AK, Derbew Molla M, Desai R, Desta AA, Dias da Silva D, Diaz D, Digesa LE, Diress M, Dodangeh M, Dongarwar D, Dorostkar F, Dsouza HL, Duko B, Duncan BB, Edvardsson K, Ekholuenetale M, Elgar FJ, Elhadi M, Elmonem MA, Endries AY, Eskandarieh S, Etemadimanesh A, Fagbamigbe AF, Fakhradiyev IR, Farahmand F, Farinha CSES, Faro A, Farzadfar F, Fatehizadeh A, Fauk NK, Feigin VL, Feldman R, Feng X, Fentaw Z, Ferrero S, Ferro Desideri L, Filip I, Fischer F, Francis JM, Franklin RC, Gaal PA, Gad MM, Gallus S, Galvano F, Ganesan B, Garg T, Gebrehiwot MGD, Gebremeskel TG, Gebremichael MA, Gemechu TR, Getacher L, Getachew ME, Getachew Obsa A, Getie A, Ghaderi A, Ghafourifard M, Ghajar A, Ghamari SH, Ghandour LA, Ghasemi Nour M, Ghashghaee A, Ghozy S, Glozah FN, Glushkova EV, Godos J, Goel A, Goharinezhad S, Golechha M, Goleij P, Golitaleb M, Greaves F, Grivna M, Grosso G, Gudayu TW, Gupta B, Gupta R, Gupta S, Gupta VB, Gupta VK, Hafezi-Nejad N, Haj-Mirzaian A, Hall BJ, Halwani R, Handiso TB, Hankey GJ, Hariri S, Haro JM, Hasaballah AI, Hassanian-Moghaddam H, Hay SI, Hayat K, Heidari G, Heidari M, Hendrie D, Herteliu C, Heyi DZ, Hezam K, Hlongwa MM, Holla R, Hossain MM, Hossain S, Hosseini SK, hosseinzadeh M, Hostiuc M, Hostiuc S, Hu G, Huang J, Hussain S, Ibitoye SE, Ilic IM, Ilic MD, Immurana M, Irham LM, Islam MM, Islam RM, Islam SMS, Iso H, Itumalla R, Iwagami M, Jabbarinejad R, Jacob L, Jakovljevic M, Jamalpoor Z, Jamshidi E, Jayapal SK, Jayarajah UU, Jayawardena R, Jebai R, Jeddi SA, Jema AT, Jha RP, Jindal HA, Jonas JB, Joo T, Joseph N, Joukar F, Jozwiak JJ, Jürisson M, Kabir A, Kabthymer RH, Kamble BD, Kandel H, Kanno GG, Kapoor N, Karaye IM, Karimi SE, Kassa BG, Kaur RJ, Kayode GA, Keykhaei M, Khajuria H, Khalilov R, Khan IA, Khan MAB, Kim H, Kim J, Kim MS, Kimokoti RW, Kivimäki M, Klymchuk V, Knudsen AKS, Kolahi AA, Korshunov VA, Koyanagi A, Krishan K, Krishnamoorthy Y, Kumar GA, Kumar N, Kumar N, Lacey B, Lallukka T, Lasrado S, Lau J, Lee SW, Lee WC, Lee YH, Lim LL, Lim SS, Lobo SW, Lopukhov PD, Lorkowski S, Lozano R, Lucchetti G, Madadizadeh F, Madureira-Carvalho ÁM, Mahjoub S, Mahmoodpoor A, Mahumud RA, Makki A, Malekpour MR, Manjunatha N, Mansouri B, Mansournia MA, Martinez-Raga J, Martinez-Villa FA, Matzopoulos R, Maulik PK, Mayeli M, McGrath JJ, Meena JK, Mehrabi Nasab E, Menezes RG, Mensink GBM, Mentis AFA, Meretoja A, Merga BT, Mestrovic T, Miao Jonasson J, Miazgowski B, Micheletti Gomide Nogueira de Sá AC, Miller TR, Mini GK, Mirica A, Mirijello A, Mirmoeeni S, Mirrakhimov EM, Misra S, Moazen B, Mobarakabadi M, Moccia M, Mohammad Y, Mohammadi E, Mohammadian-Hafshejani A, Mohammed TA, Moka N, Mokdad AH, Momtazmanesh S, Moradi Y, Mostafavi E, Mubarik S, Mullany EC, Mulugeta BT, Murillo-Zamora E, Murray CJL, Mwita JC, Naghavi M, Naimzada MD, Nangia V, Nayak BP, Negoi I, Negoi RI, Nejadghaderi SA, Nepal S, Neupane SPP, Neupane Kandel S, Nigatu YT, Nowroozi A, Nuruzzaman KM, Nzoputam CI, Obamiro KO, Ogbo FA, Oguntade AS, Okati-Aliabad H, Olakunde BO, Oliveira GMM, Omar Bali A, Omer E, Ortega-Altamirano DV, Otoiu A, Otstavnov SS, Oumer B, P A M, Padron-Monedero A, Palladino R, Pana A, Panda-Jonas S, Pandey A, Pandey A, Pardhan S, Parekh T, Park EK, Parry CDH, Pashazadeh Kan F, Patel J, Pati S, Patton GC, Paudel U, Pawar S, Peden AE, Petcu IR, Phillips MR, Pinheiro M, Plotnikov E, Pradhan PMS, Prashant A, Quan J, Radfar A, Rafiei A, Raghav PR, Rahimi-Movaghar V, Rahman A, Rahman MM, Rahman M, Rahmani AM, Rahmani S, Ranabhat CL, Ranasinghe P, Rao CR, Rasali DP, Rashidi MM, Ratan ZA, Rawaf DL, Rawaf S, Rawal L, Renzaho AMN, Rezaei N, Rezaei S, Rezaeian M, Riahi SM, Romero-Rodríguez E, Roth GA, Rwegerera GM, Saddik B, Sadeghi E, Sadeghian R, Saeed U, Saeedi F, Sagar R, Sahebkar A, Sahoo H, Sahraian MA, Saif-Ur-Rahman KM, Salahi S, Salimzadeh H, Samy AM, Sanmarchi F, Santric-Milicevic MM, Sarikhani Y, Sathian B, Saya GK, Sayyah M, Schmidt MI, Schutte AE, Schwarzinger M, Schwebel DC, Seidu AA, Senthil Kumar N, SeyedAlinaghi S, Seylani A, Sha F, Shahin S, Shahraki-Sanavi F, Shahrokhi S, Shaikh MA, Shaker E, Shakhmardanov MZ, Shams-Beyranvand M, Sheikhbahaei S, Sheikhi RA, Shetty A, Shetty JK, Shiferaw DS, Shigematsu M, Shiri R, Shirkoohi R, Shivakumar KM, Shivarov V, Shobeiri P, Shrestha R, Sidemo NB, Sigfusdottir ID, Silva DAS, Silva NTD, Singh JA, Singh S, Skryabin VY, Skryabina AA, Sleet DA, Solmi M, SOLOMON YONATAN, Song S, Song Y, Sorensen RJD, Soshnikov S, Soyiri IN, Stein DJ, Subba SH, Szócska M, Tabarés-Seisdedos R, Tabuchi T, Taheri M, Tan KK, Tareke M, Tarkang EE, Temesgen G, Temesgen WA, Temsah MH, Thankappan KR, Thapar R, Thomas NK, Tiruneh C, Todorovic J, Torrado M, Touvier M, Tovani-Palone MR, Tran MTN, Trias-Llimós S, Tripathy JP, Vakilian A, Valizadeh R, Varmaghani M, Varthya SB, Vasankari TJ, Vos T, Wagaye B, Waheed Y, Walde MT, Wang C, Wang Y, Wang YP, Westerman R, Wickramasinghe ND, Wubetu AD, Xu S, Yamagishi K, Yang L, Yesera GEE, Yigit A, Yiğit V, Yimaw AEAE, Yon DK, Yonemoto N, Yu C, Zadey S, Zahir M, Zare I, Zastrozhin MS, Zastrozhina A, Zhang ZJ, Zhong C, Zmaili M, Zuniga YMH, Gakidou E. Population-level risks of alcohol consumption by amount, geography, age, sex, and year: a systematic analysis for the Global Burden of Disease Study 2020. Lancet 2022; 400:185-235. [PMID: 35843246 PMCID: PMC9289789 DOI: 10.1016/s0140-6736(22)00847-9] [Citation(s) in RCA: 122] [Impact Index Per Article: 61.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 04/11/2022] [Accepted: 04/26/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND The health risks associated with moderate alcohol consumption continue to be debated. Small amounts of alcohol might lower the risk of some health outcomes but increase the risk of others, suggesting that the overall risk depends, in part, on background disease rates, which vary by region, age, sex, and year. METHODS For this analysis, we constructed burden-weighted dose-response relative risk curves across 22 health outcomes to estimate the theoretical minimum risk exposure level (TMREL) and non-drinker equivalence (NDE), the consumption level at which the health risk is equivalent to that of a non-drinker, using disease rates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2020 for 21 regions, including 204 countries and territories, by 5-year age group, sex, and year for individuals aged 15-95 years and older from 1990 to 2020. Based on the NDE, we quantified the population consuming harmful amounts of alcohol. FINDINGS The burden-weighted relative risk curves for alcohol use varied by region and age. Among individuals aged 15-39 years in 2020, the TMREL varied between 0 (95% uncertainty interval 0-0) and 0·603 (0·400-1·00) standard drinks per day, and the NDE varied between 0·002 (0-0) and 1·75 (0·698-4·30) standard drinks per day. Among individuals aged 40 years and older, the burden-weighted relative risk curve was J-shaped for all regions, with a 2020 TMREL that ranged from 0·114 (0-0·403) to 1·87 (0·500-3·30) standard drinks per day and an NDE that ranged between 0·193 (0-0·900) and 6·94 (3·40-8·30) standard drinks per day. Among individuals consuming harmful amounts of alcohol in 2020, 59·1% (54·3-65·4) were aged 15-39 years and 76·9% (73·0-81·3) were male. INTERPRETATION There is strong evidence to support recommendations on alcohol consumption varying by age and location. Stronger interventions, particularly those tailored towards younger individuals, are needed to reduce the substantial global health loss attributable to alcohol. FUNDING Bill & Melinda Gates Foundation.
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Burkart K, Causey K, Cohen AJ, Wozniak SS, Salvi DD, Abbafati C, Adekanmbi V, Adsuar JC, Ahmadi K, Alahdab F, Al-Aly Z, Alipour V, Alvis-Guzman N, Amegah AK, Andrei CL, Andrei T, Ansari F, Arabloo J, Aremu O, Aripov T, Babaee E, Banach M, Barnett A, Bärnighausen TW, Bedi N, Behzadifar M, Béjot Y, Bennett DA, Bensenor IM, Bernstein RS, Bhattacharyya K, Bijani A, Biondi A, Bohlouli S, Breitner S, Brenner H, Butt ZA, Cámera LA, Cantu-Brito C, Carvalho F, Cerin E, Chattu VK, Chauhan BG, Choi JYJ, Chu DT, Dai X, Dandona L, Dandona R, Daryani A, Davletov K, de Courten B, Demeke FM, Denova-Gutiérrez E, Dharmaratne SD, Dhimal M, Diaz D, Djalalinia S, Duncan BB, El Sayed Zaki M, Eskandarieh S, Fareed M, Farzadfar F, Fattahi N, Fazlzadeh M, Fernandes E, Filip I, Fischer F, Foigt NA, Freitas M, Ghashghaee A, Gill PS, Ginawi IA, Gopalani SV, Guo Y, Gupta RD, Habtewold TD, Hamadeh RR, Hamidi S, Hankey GJ, Hasanpoor E, Hassen HY, Hay SI, Heibati B, Hole MK, Hossain N, Househ M, Irvani SSN, Jaafari J, Jakovljevic M, Jha RP, Jonas JB, Jozwiak JJ, Kasaeian A, Kaydi N, Khader YS, Khafaie MA, Khan EA, Khan J, Khan MN, Khatab K, Khater AM, Kim YJ, Kimokoti RW, Kisa A, Kivimäki M, Knibbs LD, Kosen S, Koul PA, Koyanagi A, Kuate Defo B, Kugbey N, Lauriola P, Lee PH, Leili M, Lewycka S, Li S, Lim LL, Linn S, Liu Y, Lorkowski S, Mahasha PW, Mahotra NB, Majeed A, Maleki A, Malekzadeh R, Mamun AA, Manafi N, Martini S, Meharie BG, Menezes RG, Mestrovic T, Miazgowski B, Miazgowski T, Miller TR, Mini GK, Mirica A, Mirrakhimov EM, Mohajer B, Mohammed S, Mohan V, Mokdad AH, Monasta L, Moraga P, Morrison SD, Mueller UO, Mukhopadhyay S, Mustafa G, Muthupandian S, Naik G, Nangia V, Ndwandwe DE, Negoi RI, Ningrum DNA, Noubiap JJ, Ogbo FA, Olagunju AT, Onwujekwe OE, Ortiz A, Owolabi MO, P A M, Panda-Jonas S, Park EK, Pashazadeh Kan F, Pirsaheb M, Postma MJ, Pourjafar H, Radfar A, Rafiei A, Rahim F, Rahimi-Movaghar V, Rahman MA, Rai RK, Ranabhat CL, Raoofi S, Rawal L, Renzaho AMN, Rezapour A, Ribeiro D, Roever L, Ronfani L, Sabour S, Saddik B, Sadeghi E, Saeedi Moghaddam S, Sahebkar A, Sahraian MA, Salimzadeh H, Salvi SS, Samy AM, Sanabria J, Sarmiento-Suárez R, Sathish T, Schmidt MI, Schutte AE, Sepanlou SG, Shaikh MA, Sharafi K, Sheikh A, Shigematsu M, Shiri R, Shirkoohi R, Shuval K, Soyiri IN, Tabarés-Seisdedos R, Tefera YM, Tehrani-Banihashemi A, Temsah MH, Thankappan KR, Topor-Madry R, Tudor Car L, Ullah I, Vacante M, Valdez PR, Vasankari TJ, Violante FS, Waheed Y, Wolfe CDA, Yamada T, Yonemoto N, Yu C, Zaman SB, Zhang Y, Zodpey S, Lim SS, Stanaway JD, Brauer M. Estimates, trends, and drivers of the global burden of type 2 diabetes attributable to PM 2·5 air pollution, 1990-2019: an analysis of data from the Global Burden of Disease Study 2019. Lancet Planet Health 2022; 6:e586-e600. [PMID: 35809588 PMCID: PMC9278144 DOI: 10.1016/s2542-5196(22)00122-x] [Citation(s) in RCA: 51] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Revised: 05/09/2022] [Accepted: 05/12/2022] [Indexed: 05/17/2023]
Abstract
BACKGROUND Experimental and epidemiological studies indicate an association between exposure to particulate matter (PM) air pollution and increased risk of type 2 diabetes. In view of the high and increasing prevalence of diabetes, we aimed to quantify the burden of type 2 diabetes attributable to PM2·5 originating from ambient and household air pollution. METHODS We systematically compiled all relevant cohort and case-control studies assessing the effect of exposure to household and ambient fine particulate matter (PM2·5) air pollution on type 2 diabetes incidence and mortality. We derived an exposure-response curve from the extracted relative risk estimates using the MR-BRT (meta-regression-Bayesian, regularised, trimmed) tool. The estimated curve was linked to ambient and household PM2·5 exposures from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019, and estimates of the attributable burden (population attributable fractions and rates per 100 000 population of deaths and disability-adjusted life-years) for 204 countries from 1990 to 2019 were calculated. We also assessed the role of changes in exposure, population size, age, and type 2 diabetes incidence in the observed trend in PM2·5-attributable type 2 diabetes burden. All estimates are presented with 95% uncertainty intervals. FINDINGS In 2019, approximately a fifth of the global burden of type 2 diabetes was attributable to PM2·5 exposure, with an estimated 3·78 (95% uncertainty interval 2·68-4·83) deaths per 100 000 population and 167 (117-223) disability-adjusted life-years (DALYs) per 100 000 population. Approximately 13·4% (9·49-17·5) of deaths and 13·6% (9·73-17·9) of DALYs due to type 2 diabetes were contributed by ambient PM2·5, and 6·50% (4·22-9·53) of deaths and 5·92% (3·81-8·64) of DALYs by household air pollution. High burdens, in terms of numbers as well as rates, were estimated in Asia, sub-Saharan Africa, and South America. Since 1990, the attributable burden has increased by 50%, driven largely by population growth and ageing. Globally, the impact of reductions in household air pollution was largely offset by increased ambient PM2·5. INTERPRETATION Air pollution is a major risk factor for diabetes. We estimated that about a fifth of the global burden of type 2 diabetes is attributable PM2·5 pollution. Air pollution mitigation therefore might have an essential role in reducing the global disease burden resulting from type 2 diabetes. FUNDING Bill & Melinda Gates Foundation.
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Birck MG, Almeida-Pititto BD, Janovsky CCPS, Goulart AC, Santos IS, Teixeira PDFDS, Sgarbi JA, Barreto SM, Duncan BB, Schmidt MI, Lotufo PA, Bensenor IM. Thyroid-Stimulating Hormone and Thyroid Hormones and Incidence of Diabetes: Prospective Results of the Brazilian Longitudinal Study of Adult Health (ELSA-BRASIL). Thyroid 2022; 32:694-704. [PMID: 35473396 DOI: 10.1089/thy.2021.0533] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Background: There are conflicting data regarding the association of thyroid function with incident diabetes. We prospectively investigated thyrotropin (TSH), free thyroxine (fT4), free triiodothyronine (fT3), and its conversion ratio (fT3:fT4) with the risk of developing diabetes in euthyroid subjects and those with subclinical thyroid dysfunction. Our hypothesis is that this relationship is a U-shaped curve since both subclinical thyroid diseases may be associated with diabetes. Methods: ELSA-Brasil is a highly admixed cohort study of 35-74 years old at baseline (2008-2010). Levels of TSH, fT4, fT3, and fT3:fT4 ratio were evaluated at baseline and incident diabetes was estimated over an 8.2-year follow-up (2017-2019). Diabetes was identified based on medical diagnosis, prescriptions, and laboratory tests. The risk of diabetes was evaluated according to quintiles of TSH, fT4, fT3, and fT3:fT4 ratio using Poisson regression with robust variance presented as relative risk (RR) with confidence interval [CI] of 95% after multivariable adjustment for sociodemographic and cardiovascular risk factors (reference third quintile), and as continuous variables. Results: We included 7948 participants (mean age, 50.2 [standard deviation 8.6] years; 54.4% female): 7177 euthyroid, 726 with subclinical hypothyroidism, and 45 with subclinical hyperthyroidism. Incidence of diabetes was 14.8%. No association was found for TSH, fT4, fT3, and fT3:fT4 ratio quintiles with incident diabetes. Using continuous variables, the increase of 1-unit (1-U) of fT4 decreased the risk of diabetes (RR 0.94 [CI 0.91-0.99]), while the increase of 1-U of the fT3:fT4 ratio increased the diabetes risk (RR 1.37 [CI 1.15-1.63]). The increase of 1-U of fT3 was associated with an increased risk of diabetes, but without significance after multivariable adjustment. In body mass index-stratified analysis, people with overweight or obesity presented a modest significantly higher risk of diabetes in the lowest quintile of fT4 (RR 1.04 [CI 1.01-1.07]) and an inverse association with incident diabetes in the first quintile of fT3:fT4 ratio (RR, 0.95 [CI 0.93-0.98]). The analyses using continuous variables presented similar findings. Conclusion: These findings suggest that fT4 and fT3 levels and the conversion rate might be additional risk factors associated with incident diabetes, especially in the presence of overweight or obesity. However, they need to be confirmed in future studies. (ClinicalTrials.gov Identifier: NCT02320461).
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Affiliation(s)
| | - Bianca de Almeida-Pititto
- Department of Preventive Medicine, Escola Paulista de Medicina, Universidade Federal de Sao Paulo, Sao Paulo, Brazil
| | - Carolina C P S Janovsky
- Center for Clinical and Epidemiological Research, Hospital Universitário, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Alessandra Carvalho Goulart
- Center for Clinical and Epidemiological Research, Hospital Universitário, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Itamar S Santos
- Center for Clinical and Epidemiological Research, Hospital Universitário, Universidade de Sao Paulo, Sao Paulo, Brazil
| | | | - Jose A Sgarbi
- Thyroid Unit, Division of Endocrinology and Metabolism, Department of Medicine, Faculdade de Medicina de Marilia, Marilia, Brazil
| | - Sandhi M Barreto
- Medical School and Clinical Hospital, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Bruce B Duncan
- Postgraduate Program in Epidemiology and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Maria Inês Schmidt
- Postgraduate Program in Epidemiology and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Paulo A Lotufo
- Center for Clinical and Epidemiological Research, Hospital Universitário, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Isabela M Bensenor
- Center for Clinical and Epidemiological Research, Hospital Universitário, Universidade de Sao Paulo, Sao Paulo, Brazil
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Wulf Hanson S, Abbafati C, Aerts JG, Al-Aly Z, Ashbaugh C, Ballouz T, Blyuss O, Bobkova P, Bonsel G, Borzakova S, Buonsenso D, Butnaru D, Carter A, Chu H, De Rose C, Diab MM, Ekbom E, El Tantawi M, Fomin V, Frithiof R, Gamirova A, Glybochko PV, Haagsma JA, Javanmard SH, Hamilton EB, Harris G, Heijenbrok-Kal MH, Helbok R, Hellemons ME, Hillus D, Huijts SM, Hultström M, Jassat W, Kurth F, Larsson IM, Lipcsey M, Liu C, Loflin CD, Malinovschi A, Mao W, Mazankova L, McCulloch D, Menges D, Mohammadifard N, Munblit D, Nekliudov NA, Ogbuoji O, Osmanov IM, Peñalvo JL, Petersen MS, Puhan MA, Rahman M, Rass V, Reinig N, Ribbers GM, Ricchiuto A, Rubertsson S, Samitova E, Sarrafzadegan N, Shikhaleva A, Simpson KE, Sinatti D, Soriano JB, Spiridonova E, Steinbeis F, Svistunov AA, Valentini P, van de Water BJ, van den Berg-Emons R, Wallin E, Witzenrath M, Wu Y, Xu H, Zoller T, Adolph C, Albright J, Amlag JO, Aravkin AY, Bang-Jensen BL, Bisignano C, Castellano R, Castro E, Chakrabarti S, Collins JK, Dai X, Daoud F, Dapper C, Deen A, Duncan BB, Erickson M, Ewald SB, Ferrari AJ, Flaxman AD, Fullman N, Gamkrelidze A, Giles JR, Guo G, Hay SI, He J, Helak M, Hulland EN, Kereselidze M, Krohn KJ, Lazzar-Atwood A, Lindstrom A, Lozano R, Magistro B, Malta DC, Månsson J, Mantilla Herrera AM, Mokdad AH, Monasta L, Nomura S, Pasovic M, Pigott DM, Reiner RC, Reinke G, Ribeiro ALP, Santomauro DF, Sholokhov A, Spurlock EE, Walcott R, Walker A, Wiysonge CS, Zheng P, Bettger JP, Murray CJ, Vos T. A global systematic analysis of the occurrence, severity, and recovery pattern of long COVID in 2020 and 2021. medRxiv 2022. [PMID: 35664995 PMCID: PMC9164454 DOI: 10.1101/2022.05.26.22275532] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Importance: While much of the attention on the COVID-19 pandemic was directed at the daily counts of cases and those with serious disease overwhelming health services, increasingly, reports have appeared of people who experience debilitating symptoms after the initial infection. This is popularly known as long COVID. Objective: To estimate by country and territory of the number of patients affected by long COVID in 2020 and 2021, the severity of their symptoms and expected pattern of recovery Design: We jointly analyzed ten ongoing cohort studies in ten countries for the occurrence of three major symptom clusters of long COVID among representative COVID cases. The defining symptoms of the three clusters (fatigue, cognitive problems, and shortness of breath) are explicitly mentioned in the WHO clinical case definition. For incidence of long COVID, we adopted the minimum duration after infection of three months from the WHO case definition. We pooled data from the contributing studies, two large medical record databases in the United States, and findings from 44 published studies using a Bayesian meta-regression tool. We separately estimated occurrence and pattern of recovery in patients with milder acute infections and those hospitalized. We estimated the incidence and prevalence of long COVID globally and by country in 2020 and 2021 as well as the severity-weighted prevalence using disability weights from the Global Burden of Disease study. Results: Analyses are based on detailed information for 1906 community infections and 10526 hospitalized patients from the ten collaborating cohorts, three of which included children. We added published data on 37262 community infections and 9540 hospitalized patients as well as ICD-coded medical record data concerning 1.3 million infections. Globally, in 2020 and 2021, 144.7 million (95% uncertainty interval [UI] 54.8–312.9) people suffered from any of the three symptom clusters of long COVID. This corresponds to 3.69% (1.38–7.96) of all infections. The fatigue, respiratory, and cognitive clusters occurred in 51.0% (16.9–92.4), 60.4% (18.9–89.1), and 35.4% (9.4–75.1) of long COVID cases, respectively. Those with milder acute COVID-19 cases had a quicker estimated recovery (median duration 3.99 months [IQR 3.84–4.20]) than those admitted for the acute infection (median duration 8.84 months [IQR 8.10–9.78]). At twelve months, 15.1% (10.3–21.1) continued to experience long COVID symptoms. Conclusions and relevance: The occurrence of debilitating ongoing symptoms of COVID-19 is common. Knowing how many people are affected, and for how long, is important to plan for rehabilitative services and support to return to social activities, places of learning, and the workplace when symptoms start to wane.
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Salvador L, Giatti L, Viana MC, Suemoto CK, Duncan BB, Del Carmen Bisi Molina M, de Jesus Mendes da Fonseca M, Brunoni AR, Barreto SM, Caramelli P. Sex differences in the association between alcohol intake and cognitive decline over four years in a middle-aged cohort: the Brazilian Longitudinal Study of Adult Health. Eur J Neurol 2022; 29:1903-1912. [PMID: 35262995 DOI: 10.1111/ene.15315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 02/24/2022] [Indexed: 11/28/2022]
Abstract
The association between alcohol intake and cognitive decline has been widely studied. Sex differences and cognitive domains affected by alcohol intake patterns make this topic overly complex. OBJECTIVE To investigate the effect of alcohol intake on cognition of middle-aged participants from ELSA-Brasil by sex during four-years of follow-up. METHODS 7,595 participants (55% women) aged between 50 to 75 years at baseline were assessed. Semantic and phonemic fluency, memory, and executive functions were assessed at baseline (2008-2010) and repeated during Visit 2. Linear mixed models were used to investigate the association between cognition and current abstainers, never drinkers, light drinkers, moderate drinkers, and heavy drinkers. RESULTS Heavy alcohol intake accentuated the decline in executive functions for men (β = -0.01; p < 0.05), and in semantic fluency (β = -0.02; p < 0.05), and memory (β = -0.02; p < 0.05) for women. Never drinker's men also showed an accentuated decline in semantic fluency (β = -0.02; p < 0.01). Moderate alcohol intake slowed cognitive decline in phonemic fluency for men (β = 0.02, p < 0.01) and women (β = 0.01, p < 0.01) and in executive functions (β = 0.01, p < 0.05) for women. CONCLUSIONS Having more than 14 drinks per week can impact executive functions in men and memory in women. In addition, alcohol consumption of 7 to 14 drinks per week may have a protective effect on gender-specific cognitive functions. These findings should be considered in public health policies and guidelines on alcohol and cognitive aging.
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Affiliation(s)
- Larissa Salvador
- Post-Doctoral Student at the Graduate Program in Sciences Applied to Adult Health, Faculty of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Luana Giatti
- School of Medicine and Clinical Hospital, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Maria Carmen Viana
- Department of Social Medicine and Postgraduate Program in Public Health at the Universidade Federal do Espírito. Center for Study and Research in Psychiatric Epidemiology (CEPEP/UFES), Vitória, Espirito Santo, Brazil
| | | | - Bruce B Duncan
- Postgraduate program in Epidemiology and Clinical Hospital, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Maria Del Carmen Bisi Molina
- Postgraduate Program in Public Health, Universidade Federal do Espírito Santo, Postgraduate Program in Health and Nutrition, Universidade Federal de Ouro Preto, Minas Gerais, Brazil
| | - Maria de Jesus Mendes da Fonseca
- Department of Epidemiology and Quantitative Methods in Health, Escola Nacional de Saúde Pública/ FIOCRUZ, Rio de Janeiro, Brazil
| | - André R Brunoni
- School of Medicine and Clinical Hospital, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Sandhi Maria Barreto
- School of Medicine and Clinical Hospital, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Paulo Caramelli
- Post-Doctoral Student at the Graduate Program in Sciences Applied to Adult Health, Faculty of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.,Research Group in Cognitive and Behavioral Neurology, Medical Clinic Department, School of Medicine and Clinical Hospital, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
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Riboldi BP, Luft VC, Bracco PA, de Oliveira Cardoso L, Molina MDC, Alvim S, Giatti L, Schmidt MI, Duncan BB. The inflammatory food index and its association with weight gain and incidence of diabetes: Longitudinal Study of Adult Health (ELSA-Brasil). Nutr Metab Cardiovasc Dis 2022; 32:675-683. [PMID: 35123853 DOI: 10.1016/j.numecd.2021.12.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 12/21/2021] [Accepted: 12/22/2021] [Indexed: 11/19/2022]
Abstract
BACKGROUND AND AIMS Diet plays a central role in regulating inflammation and is closely related to the development of chronic diseases. We aimed to develop an inflammatory food index (IFI) based on the relationship of food items with biomarkers of inflammation and to evaluate its association with weight gain and type 2 diabetes. METHODS AND RESULTS A sample of 9909 participants of the ELSA-Brasil study was analyzed. Standardized measurements including interviews, anthropometry, and laboratory exams were performed at baseline and follow-up. A baseline food frequency questionnaire was used to derive IFI scores using reduced rank regression (RRR). The inflammatory pattern derived included 11 pro-inflammatory food groups: processed meat, red meat, pork, sugary soda, and hot dogs. The anti-inflammatory pattern included seven food groups: fruits, nuts, and wine. The IFI score, adjusted through logistic regression for multiple sociodemographic, behavioral, and clinical covariates, including body mass index, predicted the development of a large weight gain (tertile 3 vs. 1: OR = 1.30; 95%CI 1.08-1.55). The score, adjusted for sociodemographic factors through proportional hazard models, predicted incident diabetes (tertile 3 vs. 1: HR = 1.26; 95%CI 1.04-1.52). CONCLUSION These findings support the hypothesis that subclinical inflammation caused by a pro-inflammatory food pattern, characterized mainly by greater ultra-processed food consumption, underlies weight gain and the development of type 2 diabetes. This study was registered at clinicaltrials.com as NCT02320461.
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Affiliation(s)
- Bárbara P Riboldi
- Graduate Studies Program in Epidemiology, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Vivian C Luft
- Graduate Studies Program in Epidemiology, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil; Graduate Studies Program in Food, Nutrition and Health, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil; Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil.
| | - Paula A Bracco
- Graduate Studies Program in Epidemiology, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Leticia de Oliveira Cardoso
- Department of Epidemiology and Quantitative Methods, National School of Public Health Sergio Arouca, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brazil
| | | | - Sheila Alvim
- Institute of Collective Health - Federal University of Bahia, Brazil
| | - Luana Giatti
- School of Medicine & Clinical Hospital, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Maria Inês Schmidt
- Graduate Studies Program in Epidemiology, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Bruce B Duncan
- Graduate Studies Program in Epidemiology, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
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Cousin E, Duncan BB, Stein C, Ong KL, Vos T, Abbafati C, Abbasi-Kangevari M, Abdelmasseh M, Abdoli A, Abd-Rabu R, Abolhassani H, Abu-Gharbieh E, Accrombessi MMK, Adnani QES, Afzal MS, Agarwal G, Agrawaal KK, Agudelo-Botero M, Ahinkorah BO, Ahmad S, Ahmad T, Ahmadi K, Ahmadi S, Ahmadi A, Ahmed A, Ahmed Salih Y, Akande-Sholabi W, Akram T, Al Hamad H, Al-Aly Z, Alcalde-Rabanal JE, Alipour V, Aljunid SM, Al-Raddadi RM, Alvis-Guzman N, Amini S, Ancuceanu R, Andrei T, Andrei CL, Anjana RM, Ansar A, Antonazzo IC, Antony B, Anyasodor AE, Arabloo J, Arizmendi D, Armocida B, Artamonov AA, Arulappan J, Aryan Z, Asgari S, Ashraf T, Astell-Burt T, Atorkey P, Atout MMW, Ayanore MA, Badiye AD, Baig AA, Bairwa M, Baker JL, Baltatu OC, Banik PC, Barnett A, Barone MTU, Barone-Adesi F, Barrow A, Bedi N, Belete R, Belgaumi UI, Bell AW, Bennett DA, Bensenor IM, Beran D, Bhagavathula AS, Bhaskar S, Bhattacharyya K, Bhojaraja VS, Bijani A, Bikbov B, Birara S, Bodolica V, Bonny A, Brenner H, Briko NI, Butt ZA, Caetano dos Santos FL, Cámera LA, Campos-Nonato IR, Cao Y, Cao C, Cerin E, Chakraborty PA, Chandan JS, Chattu VK, Chen S, Choi JYJ, Choudhari SG, Chowdhury EK, Chu DT, Corso B, Dadras O, Dai X, Damasceno AAM, Dandona L, Dandona R, Dávila-Cervantes CA, De Neve JW, Denova-Gutiérrez E, Dhamnetiya D, Diaz D, Ebtehaj S, Edinur HA, Eftekharzadeh S, El Sayed I, Elgendy IY, Elhadi M, Elmonem MA, Faisaluddin M, Farooque U, Feng X, Fernandes E, Fischer F, Flood D, Freitas M, Gaal PA, Gad MM, Gaewkhiew P, Getacher L, Ghafourifard M, Ghanei Gheshlagh R, Ghashghaee A, Ghith N, Ghozali G, Gill PS, Ginawi IA, Glushkova EV, Golechha M, Gopalani SV, Guimarães RA, Gupta RD, Gupta R, Gupta VK, Gupta VB, Gupta S, Habtewold TD, Hafezi-Nejad N, Halwani R, Hanif A, Hankey GJ, Haque S, Hasaballah AI, Hasan SS, Hashi A, Hassanipour S, Hay SI, Hayat K, Heidari M, Hossain MBH, Hossain S, Hosseini M, Hoveidamanesh S, Huang J, Humayun A, Hussain R, Hwang BF, Ibitoye SE, Ikuta KS, Inbaraj LR, Iqbal U, Islam MS, Islam SMS, Islam RM, Ismail NE, Isola G, Itumalla R, Iwagami M, Iyamu IO, Jahani MA, Jakovljevic M, Jayawardena R, Jha RP, John O, Jonas JB, Joo T, Kabir A, Kalhor R, Kamath A, Kanchan T, Kandel H, Kapoor N, Kayode GA, Kebede SA, Keshavarz P, Keykhaei M, Khader YS, Khajuria H, Khan MAB, Khan MN, Khan M, Khater AM, Khoja TAM, Khubchandani J, Kim MS, Kim YJ, Kimokoti RW, Kisa S, Kisa A, Kivimäki M, Korshunov VA, Korzh O, Koyanagi A, Krishan K, Kuate Defo B, Kumar GA, Kumar N, Kusuma D, La Vecchia C, Lacey B, Larsson AO, Lasrado S, Lee WC, Lee CB, Lee PH, Lee SWH, Li MC, Lim SS, Lim LL, Lucchetti G, Majeed A, Malik AA, Mansouri B, Mantovani LG, Martini S, Mathur P, McAlinden C, Mehedi N, Mekonnen T, Menezes RG, Mersha AG, Miao Jonasson J, Miazgowski T, Michalek IM, Mirica A, Mirrakhimov EM, Mirza AZ, Mithra P, Mohammadian-Hafshejani A, Mohammadpourhodki R, Mohammed A, Mokdad AH, Molokhia M, Monasta L, Moni MA, Moradpour F, Moradzadeh R, Mostafavi E, Mueller UO, Murray CJL, Mustafa A, Nagel G, Nangia V, Naqvi AA, Nayak BP, Nazari J, Ndejjo R, Negoi RI, Neupane Kandel S, Nguyen CT, Nguyen HLT, Noubiap JJ, Nowak C, Oancea B, Odukoya OO, Oguntade AS, Ojo TT, Olagunju AT, Onwujekwe OE, Ortiz A, Owolabi MO, Palladino R, Panda-Jonas S, Pandi-Perumal SR, Pardhan S, Parekh T, Parvizi M, Pepito VCF, Perianayagam A, Petcu IR, Pilania M, Podder V, Polibin RV, Postma MJ, Prashant A, Rabiee N, Rabiee M, Rahimi-Movaghar V, Rahman MA, Rahman MM, Rahman M, Rahmawaty S, Rajai N, Ram P, Rana J, Ranabhat K, Ranasinghe P, Rao CR, Rao S, Rawaf S, Rawaf DL, Rawal L, Renzaho AMN, Rezaei N, Rezapour A, Riahi SM, Ribeiro D, Rodriguez JAB, Roever L, Rohloff P, Rwegerera GM, Ryan PM, Saber-Ayad MM, Sabour S, Saddik B, Saeedi Moghaddam S, Sahebkar A, Sahoo H, Saif-Ur-Rahman KM, Salimzadeh H, Samaei M, Sanabria J, Santric-Milicevic MM, Sathian B, Sathish T, Schlaich MP, Seidu AA, Šekerija M, Senthil Kumar N, Seylani A, Shaikh MA, Shamshad H, Shawon MSR, Sheikhbahaei S, Shetty JK, Shiri R, Shivakumar KM, Shuval K, Singh JA, Singh A, Skryabin VY, Skryabina AA, Sofi-Mahmudi A, Soheili A, Sun J, Szerencsés V, Szócska M, Tabarés-Seisdedos R, Tadbiri H, Tadesse EG, Tariqujjaman M, Thankappan KR, Thapar R, Thomas N, Timalsina B, Tobe-Gai R, Tonelli M, Tovani-Palone MR, Tran BX, Tripathy JP, Tudor Car L, Tusa BS, Uddin R, Upadhyay E, Valadan Tahbaz S, Valdez PR, Vasankari TJ, Verma M, Villalobos-Daniel VE, Vladimirov SK, Vo B, Vu GT, Vukovic R, Waheed Y, Wamai RG, Werdecker A, Wickramasinghe ND, Winkler AS, Wubishet BL, Xu X, Xu S, Yahyazadeh Jabbari SH, Yatsuya H, Yaya S, Yazie TSY, Yi S, Yonemoto N, Yunusa I, Zadey S, Zaman SB, Zamanian M, Zamora N, Zastrozhin MS, Zastrozhina A, Zhang ZJ, Zhong C, Zmaili M, Zumla A, Naghavi M, Schmidt MI. Diabetes mortality and trends before 25 years of age: an analysis of the Global Burden of Disease Study 2019. Lancet Diabetes Endocrinol 2022; 10:177-192. [PMID: 35143780 PMCID: PMC8860753 DOI: 10.1016/s2213-8587(21)00349-1] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 10/27/2021] [Accepted: 12/10/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Diabetes, particularly type 1 diabetes, at younger ages can be a largely preventable cause of death with the correct health care and services. We aimed to evaluate diabetes mortality and trends at ages younger than 25 years globally using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. METHODS We used estimates of GBD 2019 to calculate international diabetes mortality at ages younger than 25 years in 1990 and 2019. Data sources for causes of death were obtained from vital registration systems, verbal autopsies, and other surveillance systems for 1990-2019. We estimated death rates for each location using the GBD Cause of Death Ensemble model. We analysed the association of age-standardised death rates per 100 000 population with the Socio-demographic Index (SDI) and a measure of universal health coverage (UHC) and described the variability within SDI quintiles. We present estimates with their 95% uncertainty intervals. FINDINGS In 2019, 16 300 (95% uncertainty interval 14 200 to 18 900) global deaths due to diabetes (type 1 and 2 combined) occurred in people younger than 25 years and 73·7% (68·3 to 77·4) were classified as due to type 1 diabetes. The age-standardised death rate was 0·50 (0·44 to 0·58) per 100 000 population, and 15 900 (97·5%) of these deaths occurred in low to high-middle SDI countries. The rate was 0·13 (0·12 to 0·14) per 100 000 population in the high SDI quintile, 0·60 (0·51 to 0·70) per 100 000 population in the low-middle SDI quintile, and 0·71 (0·60 to 0·86) per 100 000 population in the low SDI quintile. Within SDI quintiles, we observed large variability in rates across countries, in part explained by the extent of UHC (r2=0·62). From 1990 to 2019, age-standardised death rates decreased globally by 17·0% (-28·4 to -2·9) for all diabetes, and by 21·0% (-33·0 to -5·9) when considering only type 1 diabetes. However, the low SDI quintile had the lowest decline for both all diabetes (-13·6% [-28·4 to 3·4]) and for type 1 diabetes (-13·6% [-29·3 to 8·9]). INTERPRETATION Decreasing diabetes mortality at ages younger than 25 years remains an important challenge, especially in low and low-middle SDI countries. Inadequate diagnosis and treatment of diabetes is likely to be major contributor to these early deaths, highlighting the urgent need to provide better access to insulin and basic diabetes education and care. This mortality metric, derived from readily available and frequently updated GBD data, can help to monitor preventable diabetes-related deaths over time globally, aligned with the UN's Sustainable Development Targets, and serve as an indicator of the adequacy of basic diabetes care for type 1 and type 2 diabetes across nations. FUNDING Bill & Melinda Gates Foundation.
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Cousin E, Schmidt MI, Stein C, de Aquino ÉC, Gouvea EDCDP, Malta DC, Naghavi M, Duncan BB. Premature mortality due to four main non-communicable diseases and suicide in Brazil and its states from 1990 to 2019: A Global Burden of Disease Study. Rev Soc Bras Med Trop 2022; 55:e0328. [PMID: 35107541 PMCID: PMC9009436 DOI: 10.1590/0037-8682-0328-2021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 09/23/2021] [Indexed: 11/30/2022] Open
Abstract
INTRODUCTION The goal of reducing the burden of non-communicable diseases (NCDs) requires close monitoring. Our objective is to characterize the decline of premature NCD mortality in Brazil based on Global Burden of Diseases (GBD) Study 2019 estimates. METHODS We used GBD 2019 data to estimate death rates of the four main NCDs - cardiovascular diseases, neoplasms, diabetes, and chronic respiratory diseases. We estimated the unconditional probability of death between ages 30 to 69, as recommended by the World Health Organization, as well as premature crude- and age-standardized death rates and disability-adjusted life years (DALYs) lost for these conditions. We also estimated trends in suicide (self-harm) death rates. RESULTS From 2010 to 2019, the age-standardized unconditional probability of premature death declined -1.4%/year (UI: -1.7%;-1.0%) . Age-standardized death rates declined -1.5%/year (UI: -1.9%; -1.2%), and crude death rates -0.6%/year (UI: (-1.0%; -0.2%). Level of development correlated strongly with the rate of decline, with greatest declines occurring in the Southeast, Center West and South regions. Age-standardized mortality from self-harm declined, most notably in the elderly. CONCLUSIONS Premature mortality due to the main NCDs has declined from 1990 in Brazil, although at a diminishing rate over time. The unconditional probability of death and the age-standardized mortality rate produced similar estimates of decline for the four main NCDs, and mirror well decline in mortality from all NCDs. Declines, especially more recent ones, fall short of the international goals. Strategic public health actions are needed. The challenge to implement them will be great, considering the political and economic instability currently faced by Brazil.
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Affiliation(s)
- Ewerton Cousin
- University of Washington, Institute for Health Metrics and Evaluation, Seattle, WA, United States
- Universidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Epidemiologia, Porto Alegre, RS, Brasil
| | - Maria Inês Schmidt
- Universidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Epidemiologia, Porto Alegre, RS, Brasil
- Universidade Federal do Rio Grande do Sul, Faculdade de Medicina, Departamento de Medicina Social, Porto Alegre, RS, Brasil
| | - Caroline Stein
- Universidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Epidemiologia, Porto Alegre, RS, Brasil
| | - Érika Carvalho de Aquino
- Ministério da Saúde, Coordenação-Geral de Vigilância de Doenças e Agravos não Transmissíveis, Departamento de Análise de Saúde e Vigilância de Doenças Não Transmissíveis, Brasília, DF, Brasil
| | - Ellen de Cassia Dutra Pozzetti Gouvea
- Ministério da Saúde, Coordenação-Geral de Vigilância de Doenças e Agravos não Transmissíveis, Departamento de Análise de Saúde e Vigilância de Doenças Não Transmissíveis, Brasília, DF, Brasil
| | - Deborah Carvalho Malta
- Universidade Federal de Minas Gerais, Escola de Enfermagem, Departamento de Enfermagem Materno-Infantil e Saúde Pública, Belo Horizonte, MG, Brasil
| | - Mohsen Naghavi
- University of Washington, Institute for Health Metrics and Evaluation, Seattle, WA, United States
| | - Bruce B. Duncan
- Universidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Epidemiologia, Porto Alegre, RS, Brasil
- Universidade Federal do Rio Grande do Sul, Faculdade de Medicina, Departamento de Medicina Social, Porto Alegre, RS, Brasil
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Stein C, Schmidt MI, Cousin E, Malta DC, Naghavi M, Oliveira PPVD, Ribeiro ALP, Duncan BB. Exposure to and Burden of Major Non-Communicable Disease Risk Factors in Brazil and its States, 1990-2019: The Global Burden of Disease Study. Rev Soc Bras Med Trop 2022; 55:e0275. [PMID: 35107511 PMCID: PMC9022946 DOI: 10.1590/0037-8682-0275-2021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 08/16/2021] [Indexed: 11/22/2022] Open
Affiliation(s)
| | - Maria Inês Schmidt
- Universidade Federal do Rio Grande do Sul, Brasil; Universidade Federal do Rio Grande do Sul, Brasil
| | | | | | | | | | | | - Bruce B. Duncan
- Universidade Federal do Rio Grande do Sul, Brasil; Universidade Federal do Rio Grande do Sul, Brasil
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Sun H, Saeedi P, Karuranga S, Pinkepank M, Ogurtsova K, Duncan BB, Stein C, Basit A, Chan JCN, Mbanya JC, Pavkov ME, Ramachandaran A, Wild SH, James S, Herman WH, Zhang P, Bommer C, Kuo S, Boyko EJ, Magliano DJ. IDF Diabetes Atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045. Diabetes Res Clin Pract 2022; 183:109119. [PMID: 34879977 PMCID: PMC11057359 DOI: 10.1016/j.diabres.2021.109119] [Citation(s) in RCA: 2407] [Impact Index Per Article: 1203.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 10/20/2021] [Indexed: 12/12/2022]
Abstract
AIMS To provide global, regional, and country-level estimates of diabetes prevalence and health expenditures for 2021 and projections for 2045. METHODS A total of 219 data sources meeting pre-established quality criteria reporting research conducted between 2005 and 2020 and representing 215 countries and territories were identified. For countries without data meeting quality criteria, estimates were extrapolated from countries with similar economies, ethnicity, geography and language. Logistic regression was used to generate smoothed age-specific diabetes prevalence estimates. Diabetes-related health expenditures were estimated using an attributable fraction method. The 2021 diabetes prevalence estimates were applied to population estimates for 2045 to project future prevalence. RESULTS The global diabetes prevalence in 20-79 year olds in 2021 was estimated to be 10.5% (536.6 million people), rising to 12.2% (783.2 million) in 2045. Diabetes prevalence was similar in men and women and was highest in those aged 75-79 years. Prevalence (in 2021) was estimated to be higher in urban (12.1%) than rural (8.3%) areas, and in high-income (11.1%) compared to low-income countries (5.5%). The greatest relative increase in the prevalence of diabetes between 2021 and 2045 is expected to occur in middle-income countries (21.1%) compared to high- (12.2%) and low-income (11.9%) countries. Global diabetes-related health expenditures were estimated at 966 billion USD in 2021, and are projected to reach 1,054 billion USD by 2045. CONCLUSIONS Just over half a billion people are living with diabetes worldwide which means that over 10.5% of the world's adult population now have this condition.
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Affiliation(s)
- Hong Sun
- International Diabetes Federation, Brussels, Belgium
| | - Pouya Saeedi
- International Diabetes Federation, Brussels, Belgium
| | | | | | - Katherine Ogurtsova
- Institute for Health Services Research and Health Economics, German Diabetes Center, Leibniz Center for Diabetes Research at the Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Bruce B Duncan
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Caroline Stein
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Abdul Basit
- Baqai Institute of Diabetology and Endocrinology, Baqai Medical University, Karachi, Pakistan
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, Li Ka Shing Institute of Health Sciences and Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China
| | - Jean Claude Mbanya
- Department of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences and Biotechnology Center, The University of Yaounde I, Yaounde, Cameroon
| | - Meda E Pavkov
- Division of Diabetes Translation, Centers for Diseases Control and Prevention, Atlanta, GA, United States
| | - Ambady Ramachandaran
- India Diabetes Research Foundation & Dr.A.Ramachandran's Diabetes Hospital, Chennai, India
| | - Sarah H Wild
- Usher Institute, University of Edinburgh, Teviot Place, EH8 9AG, Scotland
| | - Steven James
- School of Nursing, Midwifery and Paramedicine, University of the Sunshine Coast, Petrie Queensland, Australia
| | - William H Herman
- Division of Metabolism, Endocrinology, and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States; Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Ping Zhang
- Division of Diabetes Translation, Centers for Diseases Control and Prevention, Atlanta, GA, United States
| | - Christian Bommer
- Centre for Modern Indian Studies, University of Goettingen, Goettingen, Germany; Heidelberg Institute of Global Health, University of Heidelberg, Heidelberg, Germany
| | - Shihchen Kuo
- Division of Metabolism, Endocrinology, and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States
| | - Edward J Boyko
- Seattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, Seattle, United States
| | - Dianna J Magliano
- Department of Diabetes and Population Health, Baker Heart and Diabetes Institute, Melbourne, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
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Benseñor IM, Sgarbi JA, Janovsky CCPS, Pittito BA, de Fátima Haueisen Sander Diniz M, da Conceição Chagas de Almeida M, Alvim SM, Barreto SM, Giatti L, Duncan BB, Schmidt MI, de Jesus M Fonseca M, Griep RH, Del Carmen B Molina M, Mill JG, de Souza Santos I, Goulart AC, Lotufo PA. Incidence of thyroid diseases: Results from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Arch Endocrinol Metab 2021; 65:468-478. [PMID: 33844894 PMCID: PMC10522183 DOI: 10.20945/2359-3997000000348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 01/04/2021] [Indexed: 11/23/2022]
Abstract
OBJECTIVE To evaluate incidence of subclinical and overt hyperthyroidism and hypothyroidism. METHODS The Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) is a prospective cohort study of 15,105 civil servants, examined at baseline and over a 4-year follow-up. This analysis included 9,705 participants with normal thyroid function at baseline, follow-up information about thyroid function and with no report of using drugs that may interfere in the thyroid function. Thyroid function was defined by TSH/FT4 levels or routine use of thyroid hormones/anti-thyroid medications. Annual and cumulative (over 4-year) incidence rates were presented as percentages (95% Confidence Intervals). RESULTS The incidence of all overt and subclinical thyroid disease was 6.7% (1.73%/year): 0.19% for overt hyperthyroidism (0.048%/year), 0.54% for subclinical hyperthyroidism (0.14%/year), 1.98% for overt hypothyroidism (0.51%/year), and 3.99% for subclinical hypothyroidism (1.03%/year). The incidence of all thyroid diseases was higher in women, when compared to men, with a low women:men ratio (1.36). For Blacks the highest incidence was for overt hyperthyroidism, while for Whites, the highest incidence was for overt hypothyroidism. However, the highest incidence of overt hyperthyroidism was detected in Asian descendants. The presence of antithyroperoxidase antibodies at baseline was associated with higher incidence of overt thyroid diseases. CONCLUSION These results showed a high incidence of hypothyroidism, which is compatible with a country with a more-than-adequate iodine intake. The low women:men ratio of the incidence of thyroid dysfunction highlights the importance of the diagnosis of thyroid diseases among men in Brazil.
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Affiliation(s)
- Isabela M Benseñor
- Centro de Pesquisa Clínica e Epidemiológica, Universidade de São Paulo, São Paulo, SP, Brasil
| | - José Augusto Sgarbi
- Divisão de Endocrinologia, Faculdade de Medicina de Marília, Marília, SP, Brasil
| | | | - Bianca Almeida Pittito
- Departamento de Medicina Preventiva, Universidade Federal de São Paulo, São Paulo, SP, Brasil
| | | | | | - Sheila Maria Alvim
- Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, BA, Brasil
| | - Sandhi M Barreto
- Medicina Preventiva, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brasil
| | - Luana Giatti
- Medicina Preventiva, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brasil
| | - Bruce B Duncan
- Programa de Pós-Graduação em Epidemiologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brasil
| | - Maria Inês Schmidt
- Programa de Pós-Graduação em Epidemiologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brasil
| | - Maria de Jesus M Fonseca
- Departamento de Epidemiologia e Métodos Quantitativos, Escola Nacional de Saúde Pública, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brasil
| | - Rosane H Griep
- Laboratório de Educação em Saúde e Meio Ambiente, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brasil
| | | | - José Geraldo Mill
- Departamento de Ciências Fisiológicas, Universidade Federal do Espírito Santo, Vitória, ES, Brasil
| | - Itamar de Souza Santos
- Centro de Pesquisa Clínica e Epidemiológica, Universidade de São Paulo, São Paulo, SP, Brasil
| | - Alessandra C Goulart
- Centro de Pesquisa Clínica e Epidemiológica, Universidade de São Paulo, São Paulo, SP, Brasil
| | - Paulo A Lotufo
- Centro de Pesquisa Clínica e Epidemiológica, Universidade de São Paulo, São Paulo, SP, Brasil
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Feigin VL, Stark BA, Johnson CO, Roth GA, Bisignano C, Abady GG, Abbasifard M, Abbasi-Kangevari M, Abd-Allah F, Abedi V, Abualhasan A, Abu-Rmeileh NME, Abushouk AI, Adebayo OM, Agarwal G, Agasthi P, Ahinkorah BO, Ahmad S, Ahmadi S, Ahmed Salih Y, Aji B, Akbarpour S, Akinyemi RO, Al Hamad H, Alahdab F, Alif SM, Alipour V, Aljunid SM, Almustanyir S, Al-Raddadi RM, Al-Shahi Salman R, Alvis-Guzman N, Ancuceanu R, Anderlini D, Anderson JA, Ansar A, Antonazzo IC, Arabloo J, Ärnlöv J, Artanti KD, Aryan Z, Asgari S, Ashraf T, Athar M, Atreya A, Ausloos M, Baig AA, Baltatu OC, Banach M, Barboza MA, Barker-Collo SL, Bärnighausen TW, Barone MTU, Basu S, Bazmandegan G, Beghi E, Beheshti M, Béjot Y, Bell AW, Bennett DA, Bensenor IM, Bezabhe WM, Bezabih YM, Bhagavathula AS, Bhardwaj P, Bhattacharyya K, Bijani A, Bikbov B, Birhanu MM, Boloor A, Bonny A, Brauer M, Brenner H, Bryazka D, Butt ZA, Caetano dos Santos FL, Campos-Nonato IR, Cantu-Brito C, Carrero JJ, Castañeda-Orjuela CA, Catapano AL, Chakraborty PA, Charan J, Choudhari SG, Chowdhury EK, Chu DT, Chung SC, Colozza D, Costa VM, Costanzo S, Criqui MH, Dadras O, Dagnew B, Dai X, Dalal K, Damasceno AAM, D'Amico E, Dandona L, Dandona R, Darega Gela J, Davletov K, De la Cruz-Góngora V, Desai R, Dhamnetiya D, Dharmaratne SD, Dhimal ML, Dhimal M, Diaz D, Dichgans M, Dokova K, Doshi R, Douiri A, Duncan BB, Eftekharzadeh S, Ekholuenetale M, El Nahas N, Elgendy IY, Elhadi M, El-Jaafary SI, Endres M, Endries AY, Erku DA, Faraon EJA, Farooque U, Farzadfar F, Feroze AH, Filip I, Fischer F, Flood D, Gad MM, Gaidhane S, Ghanei Gheshlagh R, Ghashghaee A, Ghith N, Ghozali G, Ghozy S, Gialluisi A, Giampaoli S, Gilani SA, Gill PS, Gnedovskaya EV, Golechha M, Goulart AC, Guo Y, Gupta R, Gupta VB, Gupta VK, Gyanwali P, Hafezi-Nejad N, Hamidi S, Hanif A, Hankey GJ, Hargono A, Hashi A, Hassan TS, Hassen HY, Havmoeller RJ, Hay SI, Hayat K, Hegazy MI, Herteliu C, Holla R, Hostiuc S, Househ M, Huang J, Humayun A, Hwang BF, Iacoviello L, Iavicoli I, Ibitoye SE, Ilesanmi OS, Ilic IM, Ilic MD, Iqbal U, Irvani SSN, Islam SMS, Ismail NE, Iso H, Isola G, Iwagami M, Jacob L, Jain V, Jang SI, Jayapal SK, Jayaram S, Jayawardena R, Jeemon P, Jha RP, Johnson WD, Jonas JB, Joseph N, Jozwiak JJ, Jürisson M, Kalani R, Kalhor R, Kalkonde Y, Kamath A, Kamiab Z, Kanchan T, Kandel H, Karch A, Katoto PDMC, Kayode GA, Keshavarz P, Khader YS, Khan EA, Khan IA, Khan M, Khan MAB, Khatib MN, Khubchandani J, Kim GR, Kim MS, Kim YJ, Kisa A, Kisa S, Kivimäki M, Kolte D, Koolivand A, Koulmane Laxminarayana SL, Koyanagi A, Krishan K, Krishnamoorthy V, Krishnamurthi RV, Kumar GA, Kusuma D, La Vecchia C, Lacey B, Lak HM, Lallukka T, Lasrado S, Lavados PM, Leonardi M, Li B, Li S, Lin H, Lin RT, Liu X, Lo WD, Lorkowski S, Lucchetti G, Lutzky Saute R, Magdy Abd El Razek H, Magnani FG, Mahajan PB, Majeed A, Makki A, Malekzadeh R, Malik AA, Manafi N, Mansournia MA, Mantovani LG, Martini S, Mazzaglia G, Mehndiratta MM, Menezes RG, Meretoja A, Mersha AG, Miao Jonasson J, Miazgowski B, Miazgowski T, Michalek IM, Mirrakhimov EM, Mohammad Y, Mohammadian-Hafshejani A, Mohammed S, Mokdad AH, Mokhayeri Y, Molokhia M, Moni MA, Montasir AA, Moradzadeh R, Morawska L, Morze J, Muruet W, Musa KI, Nagarajan AJ, Naghavi M, Narasimha Swamy S, Nascimento BR, Negoi RI, Neupane Kandel S, Nguyen TH, Norrving B, Noubiap JJ, Nwatah VE, Oancea B, Odukoya OO, Olagunju AT, Orru H, Owolabi MO, Padubidri JR, Pana A, Parekh T, Park EC, Pashazadeh Kan F, Pathak M, Peres MFP, Perianayagam A, Pham TM, Piradov MA, Podder V, Polinder S, Postma MJ, Pourshams A, Radfar A, Rafiei A, Raggi A, Rahim F, Rahimi-Movaghar V, Rahman M, Rahman MA, Rahmani AM, Rajai N, Ranasinghe P, Rao CR, Rao SJ, Rathi P, Rawaf DL, Rawaf S, Reitsma MB, Renjith V, Renzaho AMN, Rezapour A, Rodriguez JAB, Roever L, Romoli M, Rynkiewicz A, Sacco S, Sadeghi M, Saeedi Moghaddam S, Sahebkar A, Saif-Ur-Rahman KM, Salah R, Samaei M, Samy AM, Santos IS, Santric-Milicevic MM, Sarrafzadegan N, Sathian B, Sattin D, Schiavolin S, Schlaich MP, Schmidt MI, Schutte AE, Sepanlou SG, Seylani A, Sha F, Shahabi S, Shaikh MA, Shannawaz M, Shawon MSR, Sheikh A, Sheikhbahaei S, Shibuya K, Siabani S, Silva DAS, Singh JA, Singh JK, Skryabin VY, Skryabina AA, Sobaih BH, Stortecky S, Stranges S, Tadesse EG, Tarigan IU, Temsah MH, Teuschl Y, Thrift AG, Tonelli M, Tovani-Palone MR, Tran BX, Tripathi M, Tsegaye GW, Ullah A, Unim B, Unnikrishnan B, Vakilian A, Valadan Tahbaz S, Vasankari TJ, Venketasubramanian N, Vervoort D, Vo B, Volovici V, Vosoughi K, Vu GT, Vu LG, Wafa HA, Waheed Y, Wang Y, Wijeratne T, Winkler AS, Wolfe CDA, Woodward M, Wu JH, Wulf Hanson S, Xu X, Yadav L, Yadollahpour A, Yahyazadeh Jabbari SH, Yamagishi K, Yatsuya H, Yonemoto N, Yu C, Yunusa I, Zaman MS, Zaman SB, Zamanian M, Zand R, Zandifar A, Zastrozhin MS, Zastrozhina A, Zhang Y, Zhang ZJ, Zhong C, Zuniga YMH, Murray CJL. Global, regional, and national burden of stroke and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Neurol 2021; 20:795-820. [PMID: 34487721 PMCID: PMC8443449 DOI: 10.1016/s1474-4422(21)00252-0] [Citation(s) in RCA: 1651] [Impact Index Per Article: 550.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 07/01/2021] [Accepted: 07/19/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Regularly updated data on stroke and its pathological types, including data on their incidence, prevalence, mortality, disability, risk factors, and epidemiological trends, are important for evidence-based stroke care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) aims to provide a standardised and comprehensive measurement of these metrics at global, regional, and national levels. METHODS We applied GBD 2019 analytical tools to calculate stroke incidence, prevalence, mortality, disability-adjusted life-years (DALYs), and the population attributable fraction (PAF) of DALYs (with corresponding 95% uncertainty intervals [UIs]) associated with 19 risk factors, for 204 countries and territories from 1990 to 2019. These estimates were provided for ischaemic stroke, intracerebral haemorrhage, subarachnoid haemorrhage, and all strokes combined, and stratified by sex, age group, and World Bank country income level. FINDINGS In 2019, there were 12·2 million (95% UI 11·0-13·6) incident cases of stroke, 101 million (93·2-111) prevalent cases of stroke, 143 million (133-153) DALYs due to stroke, and 6·55 million (6·00-7·02) deaths from stroke. Globally, stroke remained the second-leading cause of death (11·6% [10·8-12·2] of total deaths) and the third-leading cause of death and disability combined (5·7% [5·1-6·2] of total DALYs) in 2019. From 1990 to 2019, the absolute number of incident strokes increased by 70·0% (67·0-73·0), prevalent strokes increased by 85·0% (83·0-88·0), deaths from stroke increased by 43·0% (31·0-55·0), and DALYs due to stroke increased by 32·0% (22·0-42·0). During the same period, age-standardised rates of stroke incidence decreased by 17·0% (15·0-18·0), mortality decreased by 36·0% (31·0-42·0), prevalence decreased by 6·0% (5·0-7·0), and DALYs decreased by 36·0% (31·0-42·0). However, among people younger than 70 years, prevalence rates increased by 22·0% (21·0-24·0) and incidence rates increased by 15·0% (12·0-18·0). In 2019, the age-standardised stroke-related mortality rate was 3·6 (3·5-3·8) times higher in the World Bank low-income group than in the World Bank high-income group, and the age-standardised stroke-related DALY rate was 3·7 (3·5-3·9) times higher in the low-income group than the high-income group. Ischaemic stroke constituted 62·4% of all incident strokes in 2019 (7·63 million [6·57-8·96]), while intracerebral haemorrhage constituted 27·9% (3·41 million [2·97-3·91]) and subarachnoid haemorrhage constituted 9·7% (1·18 million [1·01-1·39]). In 2019, the five leading risk factors for stroke were high systolic blood pressure (contributing to 79·6 million [67·7-90·8] DALYs or 55·5% [48·2-62·0] of total stroke DALYs), high body-mass index (34·9 million [22·3-48·6] DALYs or 24·3% [15·7-33·2]), high fasting plasma glucose (28·9 million [19·8-41·5] DALYs or 20·2% [13·8-29·1]), ambient particulate matter pollution (28·7 million [23·4-33·4] DALYs or 20·1% [16·6-23·0]), and smoking (25·3 million [22·6-28·2] DALYs or 17·6% [16·4-19·0]). INTERPRETATION The annual number of strokes and deaths due to stroke increased substantially from 1990 to 2019, despite substantial reductions in age-standardised rates, particularly among people older than 70 years. The highest age-standardised stroke-related mortality and DALY rates were in the World Bank low-income group. The fastest-growing risk factor for stroke between 1990 and 2019 was high body-mass index. Without urgent implementation of effective primary prevention strategies, the stroke burden will probably continue to grow across the world, particularly in low-income countries. FUNDING Bill & Melinda Gates Foundation.
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Lima EM, Ribeiro AH, Paixão GMM, Ribeiro MH, Pinto-Filho MM, Gomes PR, Oliveira DM, Sabino EC, Duncan BB, Giatti L, Barreto SM, Meira W, Schön TB, Ribeiro ALP. Deep neural network-estimated electrocardiographic age as a mortality predictor. Nat Commun 2021; 12:5117. [PMID: 34433816 PMCID: PMC8387361 DOI: 10.1038/s41467-021-25351-7] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 07/14/2021] [Indexed: 02/07/2023] Open
Abstract
The electrocardiogram (ECG) is the most commonly used exam for the evaluation of cardiovascular diseases. Here we propose that the age predicted by artificial intelligence (AI) from the raw ECG (ECG-age) can be a measure of cardiovascular health. A deep neural network is trained to predict a patient's age from the 12-lead ECG in the CODE study cohort (n = 1,558,415 patients). On a 15% hold-out split, patients with ECG-age more than 8 years greater than the chronological age have a higher mortality rate (hazard ratio (HR) 1.79, p < 0.001), whereas those with ECG-age more than 8 years smaller, have a lower mortality rate (HR 0.78, p < 0.001). Similar results are obtained in the external cohorts ELSA-Brasil (n = 14,236) and SaMi-Trop (n = 1,631). Moreover, even for apparent normal ECGs, the predicted ECG-age gap from the chronological age remains a statistically significant risk predictor. These results show that the AI-enabled analysis of the ECG can add prognostic information.
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Affiliation(s)
- Emilly M Lima
- Telehealth Center, Hospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.,Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Antônio H Ribeiro
- Departamento de Ciência da Computação, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.,Department of Information Technology, Uppsala University, Uppsala, Sweden
| | - Gabriela M M Paixão
- Telehealth Center, Hospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.,Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | | | - Marcelo M Pinto-Filho
- Telehealth Center, Hospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.,Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Paulo R Gomes
- Telehealth Center, Hospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.,Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Derick M Oliveira
- Departamento de Ciência da Computação, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Ester C Sabino
- Instituto de Medicina Tropical da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Bruce B Duncan
- Programa de Pós-Graduação em Epidemiologia and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Luana Giatti
- Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Sandhi M Barreto
- Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Wagner Meira
- Departamento de Ciência da Computação, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Thomas B Schön
- Department of Information Technology, Uppsala University, Uppsala, Sweden.
| | - Antonio Luiz P Ribeiro
- Telehealth Center, Hospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil. .,Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
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dos Reis RCP, Duncan BB, Szwarcwald CL, Malta DC, Schmidt MI. Control of Glucose, Blood Pressure, and Cholesterol among Adults with Diabetes: The Brazilian National Health Survey. J Clin Med 2021; 10:jcm10153428. [PMID: 34362211 PMCID: PMC8347573 DOI: 10.3390/jcm10153428] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 07/22/2021] [Accepted: 07/26/2021] [Indexed: 12/11/2022] Open
Abstract
ABC (glucose, blood pressure and LDL-cholesterol) goals are basic standards of diabetes care. We aimed to assess ABC control and related factors in a representative sample of Brazilian adults with diabetes. We analyzed 465 adults with known diabetes in the Brazilian National Health Survey. The targets used were <7% for glycated hemoglobin (A1C); <140/90 mmHg for blood pressure; and <100 mg/dL for LDL-C, with stricter targets for the latter two for those with high cardiovascular (CVD) risk. Individual goals were attained by 46% (95% CI, 40.3–51.6%) for A1C, 51.4% (95% CI, 45.7–57.1%) for blood pressure, and 40% (95% CI, 34.5–45.6%) for LDL-C. The achievement of all three goals was attained by 12.5% (95% CI, 8.9–16.2%). Those with high CVD risk attained blood pressure and LDL-C goals less frequently. A1C control improved with increasing age and worsened with greater duration of diabetes. Achievement of at least two ABC goals decreased with increasing BMI and greater duration of diabetes. In sum, about half of those with known diabetes achieved each ABC goal and only a small fraction achieved all three goals. Better access and adherence to treatment and strategies to personalize goals according to specific priorities are of the essence.
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Affiliation(s)
- Rodrigo Citton P. dos Reis
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, RS, Brazil; (B.B.D.); (M.I.S.)
- Statistics Department, Universidade Federal do Rio Grande do Sul, Porto Alegre 91509-900, RS, Brazil
- Correspondence:
| | - Bruce B. Duncan
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, RS, Brazil; (B.B.D.); (M.I.S.)
- Social Medicine Department, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, RS, Brazil
- Hospital de Clínicas de Porto Alegre, Porto Alegre 90035-003, RS, Brazil
| | - Célia Landmann Szwarcwald
- Institute of Communication and Scientific and Technological Information on Health of Oswaldo Cruz Foundation, Rio de Janeiro 21040-900, RJ, Brazil;
| | - Deborah Carvalho Malta
- Department of Maternal and Child Nursing and Public Health, School of Nursing, Universidade Federal de Minas Gerais, Belo Horizonte 30130-100, MG, Brazil;
| | - Maria Inês Schmidt
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, RS, Brazil; (B.B.D.); (M.I.S.)
- Social Medicine Department, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, RS, Brazil
- Hospital de Clínicas de Porto Alegre, Porto Alegre 90035-003, RS, Brazil
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Lelis DDF, Calzavara JVS, Santos RD, Sposito AC, Griep RH, Barreto SM, Molina MDCB, Schmidt MI, Duncan BB, Bensenor I, Lotufo PA, Mill JG, Baldo MP. Reference values for the triglyceride to high-density lipoprotein ratio and its association with cardiometabolic diseases in a mixed adult population: The ELSA-Brasil study. J Clin Lipidol 2021; 15:699-711. [PMID: 34389285 DOI: 10.1016/j.jacl.2021.07.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Revised: 07/11/2021] [Accepted: 07/23/2021] [Indexed: 12/13/2022]
Abstract
BACKGROUND Among several lipid ratios available, the triglyceride/HDL-cholesterol (TG/HDL-C) may detect individuals at risk of cardiometabolic diseases. However, its reference values for different ethnicities are not well established. OBJECTIVE To define sex- and ethnicity-specific reference values for TG/HDL-C ratio in a large sample of healthy multiethnic adults and test its association with cardiometabolic conditions. METHODS An apparently healthy sample (n = 2,472), aged 35-74, free of major cardiovascular risk factors, was used to generate the reference values for the TG/HDL-C. Exclusion criteria were diabetes, elevated blood pressure, obesity, hypercholesterolemia, severe hypertriglyceridemia, and smoking history. Cut-offs based on the reference values were tested in the whole ELSA Brasil study (n = 13,245), stratified by sex and ethnicity, to identify cardiometabolic conditions. RESULTS TG/HDL-C ratio was higher in men than women, and did not change significantly with age, regardless of sex and ethnicity. Also, black individuals showed lower levels of TG/HDL-C as compared to other ethnic groups. ROC curve showed that the cut-off based on the 75th percentile displayed better sensitivities and specificities for men and women, regardless of ethnicity. Also, the sex- and ethnicity-specific cut-offs based on the 75th percentile were significantly associated with all tested cardiometabolic conditions (hypertension, diabetes, obesity, metabolic syndrome, and insulin resistance). Also, we observed that the use of a single sex-specific cut-off (men: 2.6; women: 1.7) could be used for the different ethnicities with good reliability. CONCLUSION The defined TG/HDL-C cut-offs (men: 2.6; women: 1.7) are reliable and showed good clinical applicability to detect cardiometabolic conditions in a multiethnic population.
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Affiliation(s)
- Deborah de Farias Lelis
- Department of Pathophysiology, Montes Claros State University (UNIMONTES), Montes Claros, MG, Brazil
| | - João Vitor S Calzavara
- Department of Pathophysiology, Montes Claros State University (UNIMONTES), Montes Claros, MG, Brazil
| | - Raul D Santos
- Lipid Clinic Heart Institute (Incor) University of São Paulo Medical School Hospital, São Paulo, Brazil
| | - Andrei C Sposito
- Cardiology Division, Faculty of Medical Sciences, State University of Campinas (Unicamp), Campinas, SP, Brazil
| | - Rosane Härter Griep
- Laboratory of Health and Environment Education, Oswaldo Cruz Institute, Rio de Janeiro, RJ, Brazil
| | - Sandhi Maria Barreto
- Faculty of Medicine, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | | | - Maria Inês Schmidt
- School of Medicine and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Bruce B Duncan
- School of Medicine and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Isabella Bensenor
- Center for Clinical and Epidemiologic Research, University of São Paulo, São Paulo, SP, Brazil
| | - Paulo Andrade Lotufo
- Center for Clinical and Epidemiologic Research, University of São Paulo, São Paulo, SP, Brazil
| | - José Geraldo Mill
- Department of Physiological Sciences, Federal University of Espírito Santo, Vitória, ES, Brazil
| | - Marcelo Perim Baldo
- Department of Pathophysiology, Montes Claros State University (UNIMONTES), Montes Claros, MG, Brazil.
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Bracco PA, Gregg EW, Rolka DB, Schmidt MI, Barreto SM, Lotufo PA, Bensenor I, Duncan BB. Lifetime risk of developing diabetes and years of life lost among those with diabetes in Brazil. J Glob Health 2021; 11:04041. [PMID: 34326991 PMCID: PMC8284547 DOI: 10.7189/jogh.11.04041] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2023] Open
Abstract
BACKGROUND Given the paucity of studies for low- or middle-income countries, we aim to provide the first ever estimations of lifetime risk of diabetes, years of life spent and lost among those with diabetes for Brazilians. Estimates of Brazil´s diabetes burden consist essentially of reports of diabetes prevalence from national surveys and mortality data. However, these additional metrics are at times more meaningful ways to characterize this burden. METHODS We joined data on incidence of physician-diagnosed diabetes from the Brazilian risk factor surveillance system, all-cause mortality from national statistics, and diabetes mortality rate ratios from ELSA-Brasil, an ongoing cohort study. To calculate lifetime risk of developing diabetes, we applied an illness-death state model. To calculate years of life lost for those with diabetes and years lived with the disease, we additionally calculated the mortality rates for those with diabetes. RESULTS A 35-year-old white adult had a 23.4% (95% CI = 22.5%-25.5%) lifetime risk of developing diabetes by age 80 while a same-aged black/brown adult had a 30.8% risk (95% confidence interval (CI) = 29.6%-33.2%). Men diagnosed with diabetes at age 35 would live 32.9 (95% CI = 32.4-33.2) years with diabetes and lose 5.5 (95% CI = 5.1-6.1) years of life. Similarly-aged women would live 38.8 (95% CI = 38.3-38.9) years with diabetes and lose 2.1 (95% CI = 1.9-2.6) years of life. CONCLUSIONS Assuming maintenance of current rates, one-quarter of young Brazilians will develop diabetes over their lifetimes, with this number reaching almost one-third among young, black/brown women. Those developing diabetes will suffer a decrease in life expectancy and will generate a considerable cost in terms of medical care.
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Affiliation(s)
- Paula A Bracco
- Postgraduate Program in Epidemiology, School of Medicine and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Edward W Gregg
- Department of Diabetes and Cardiovascular Disease Epidemiology, School of Public Health, Imperial College London, UK
| | - Deborah B Rolka
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Maria Inês Schmidt
- Postgraduate Program in Epidemiology, School of Medicine and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Sandhi M Barreto
- Department of Preventive and Social Medicine, Medical School, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Paulo A Lotufo
- Department of Internal Medicine, School of Medicine, Universidade de São Paulo, São Paulo, Brazil
| | - Isabela Bensenor
- Department of Internal Medicine, School of Medicine, Universidade de São Paulo, São Paulo, Brazil
| | - Bruce B Duncan
- Postgraduate Program in Epidemiology, School of Medicine and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
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Bracco PA, Gregg EW, Rolka DB, Schmidt MI, Barreto SM, Lotufo PA, Bensenor I, Duncan BB. Lifetime risk of developing diabetes and years of life lost among those with diabetes in Brazil. J Glob Health 2021. [PMID: 34326991 PMCID: PMC8284547 DOI: 10.7189/jgh.11.04041] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
Background Given the paucity of studies for low- or middle-income countries, we aim to provide the first ever estimations of lifetime risk of diabetes, years of life spent and lost among those with diabetes for Brazilians. Estimates of Brazil´s diabetes burden consist essentially of reports of diabetes prevalence from national surveys and mortality data. However, these additional metrics are at times more meaningful ways to characterize this burden. Methods We joined data on incidence of physician-diagnosed diabetes from the Brazilian risk factor surveillance system, all-cause mortality from national statistics, and diabetes mortality rate ratios from ELSA-Brasil, an ongoing cohort study. To calculate lifetime risk of developing diabetes, we applied an illness-death state model. To calculate years of life lost for those with diabetes and years lived with the disease, we additionally calculated the mortality rates for those with diabetes. Results A 35-year-old white adult had a 23.4% (95% CI = 22.5%-25.5%) lifetime risk of developing diabetes by age 80 while a same-aged black/brown adult had a 30.8% risk (95% confidence interval (CI) = 29.6%-33.2%). Men diagnosed with diabetes at age 35 would live 32.9 (95% CI = 32.4-33.2) years with diabetes and lose 5.5 (95% CI = 5.1-6.1) years of life. Similarly-aged women would live 38.8 (95% CI = 38.3-38.9) years with diabetes and lose 2.1 (95% CI = 1.9-2.6) years of life. Conclusions Assuming maintenance of current rates, one-quarter of young Brazilians will develop diabetes over their lifetimes, with this number reaching almost one-third among young, black/brown women. Those developing diabetes will suffer a decrease in life expectancy and will generate a considerable cost in terms of medical care.
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Affiliation(s)
- Paula A Bracco
- Postgraduate Program in Epidemiology, School of Medicine and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Edward W Gregg
- Department of Diabetes and Cardiovascular Disease Epidemiology, School of Public Health, Imperial College London, UK
| | - Deborah B Rolka
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Maria Inês Schmidt
- Postgraduate Program in Epidemiology, School of Medicine and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Sandhi M Barreto
- Department of Preventive and Social Medicine, Medical School, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Paulo A Lotufo
- Department of Internal Medicine, School of Medicine, Universidade de São Paulo, São Paulo, Brazil
| | - Isabela Bensenor
- Department of Internal Medicine, School of Medicine, Universidade de São Paulo, São Paulo, Brazil
| | - Bruce B Duncan
- Postgraduate Program in Epidemiology, School of Medicine and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
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Reitsma MB, Kendrick PJ, Ababneh E, Abbafati C, Abbasi-Kangevari M, Abdoli A, Abedi A, Abhilash ES, Abila DB, Aboyans V, Abu-Rmeileh NME, Adebayo OM, Advani SM, Aghaali M, Ahinkorah BO, Ahmad S, Ahmadi K, Ahmed H, Aji B, Akunna CJ, Al-Aly Z, Alanzi TM, Alhabib KF, Ali L, Alif SM, Alipour V, Aljunid SM, Alla F, Allebeck P, Alvis-Guzman N, Amin TT, Amini S, Amu H, Amul GGH, Ancuceanu R, Anderson JA, Ansari-Moghaddam A, Antonio CAT, Antony B, Anvari D, Arabloo J, Arian ND, Arora M, Asaad M, Ausloos M, Awan AT, Ayano G, Aynalem GL, Azari S, B DB, Badiye AD, Baig AA, Bakhshaei MH, Banach M, Banik PC, Barker-Collo SL, Bärnighausen TW, Barqawi HJ, Basu S, Bayati M, Bazargan-Hejazi S, Behzadifar M, Bekuma TT, Bennett DA, Bensenor IM, Berfield KSS, Bhagavathula AS, Bhardwaj N, Bhardwaj P, Bhattacharyya K, Bibi S, Bijani A, Bintoro BS, Biondi A, Birara S, Braithwaite D, Brenner H, Brunoni AR, Burkart K, Butt ZA, Caetano dos Santos FL, Cámera LA, Car J, Cárdenas R, Carreras G, Carrero JJ, Castaldelli-Maia JM, Cattaruzza MSS, Chang JC, Chen S, Chu DT, Chung SC, Cirillo M, Costa VM, Couto RAS, Dadras O, Dai X, Damasceno AAM, Damiani G, Dandona L, Dandona R, Daneshpajouhnejad P, Darega Gela J, Davletov K, Derbew Molla M, Dessie GA, Desta AA, Dharmaratne SD, Dianatinasab M, Diaz D, Do HT, Douiri A, Duncan BB, Duraes AR, Eagan AW, Ebrahimi Kalan M, Edvardsson K, Elbarazi I, El Tantawi M, Esmaeilnejad S, Fadhil I, Faraon EJA, Farinha CSES, Farwati M, Farzadfar F, Fazlzadeh M, Feigin VL, Feldman R, Fernandez Prendes C, Ferrara P, Filip I, Filippidis F, Fischer F, Flor LS, Foigt NA, Folayan MO, Foroutan M, Gad MM, Gaidhane AM, Gallus S, Geberemariyam BS, Ghafourifard M, Ghajar A, Ghashghaee A, Giampaoli S, Gill PS, Glozah FN, Gnedovskaya EV, Golechha M, Gopalani SV, Gorini G, Goudarzi H, Goulart AC, Greaves F, Guha A, Guo Y, Gupta B, Gupta RD, Gupta R, Gupta T, Gupta V, Hafezi-Nejad N, Haider MR, Hamadeh RR, Hankey GJ, Hargono A, Hartono RK, Hassankhani H, Hay SI, Heidari G, Herteliu C, Hezam K, Hird TR, Hole MK, Holla R, Hosseinzadeh M, Hostiuc S, Househ M, Hsiao T, Huang J, Iannucci VC, Ibitoye SE, Idrisov B, Ilesanmi OS, Ilic IM, Ilic MD, Inbaraj LR, Irvani SSN, Islam JY, Islam RM, Islam SMS, Islami F, Iso H, Itumalla R, Iwagami M, Jaafari J, Jain V, Jakovljevic M, Jang SI, Janjani H, Jayaram S, Jeemon P, Jha RP, Jonas JB, Joo T, Jürisson M, Kabir A, Kabir Z, Kalankesh LR, Kanchan T, Kandel H, Kapoor N, Karimi SE, Katikireddi SV, Kebede HK, Kelkay B, Kennedy RD, Khoja AT, Khubchandani J, Kim GR, Kim YE, Kimokoti RW, Kivimäki M, Kosen S, Koulmane Laxminarayana SL, Koyanagi A, Krishan K, Kugbey N, Kumar GA, Kumar N, Kurmi OP, Kusuma D, Lacey B, Lam JO, Landires I, Lasrado S, Lauriola P, Lee DW, Lee YH, Leung J, Li S, Lin H, Linn S, Liu W, Lopez AD, Lopukhov PD, Lorkowski S, Lugo A, Majeed A, Maleki A, Malekzadeh R, Malta DC, Mamun AA, Manjunatha N, Mansouri B, Mansournia MA, Martinez-Raga J, Martini S, Mathur MR, Medina-Solís CE, Mehata S, Mendoza W, Menezes RG, Meretoja A, Meretoja TJ, Miazgowski B, Michalek IM, Miller TR, Mirrakhimov EM, Mirzaei H, Mirzaei-Alavijeh M, Misra S, Moghadaszadeh M, Mohammad Y, Mohammadian-Hafshejani A, Mohammed S, Mokdad AH, Monasta L, Moni MA, Moradi G, Moradi-Lakeh M, Moradzadeh R, Morrison SD, Mossie TB, Mubarik S, Mullany EC, Murray CJL, Naghavi M, Naghshtabrizi B, Nair S, Nalini M, Nangia V, Naqvi AA, Narasimha Swamy S, Naveed M, Nayak S, Nayak VC, Nazari J, Nduaguba SO, Neupane Kandel S, Nguyen CT, Nguyen HLT, Nguyen SH, Nguyen TH, Nixon MR, Nnaji CA, Norrving B, Noubiap JJ, Nowak C, Ogbo FA, Oguntade AS, Oh IH, Olagunju AT, Oren E, Otstavnov N, Otstavnov SS, Owolabi MO, P A M, Pakhale S, Pakshir K, Palladino R, Pana A, Panda-Jonas S, Pandey A, Parekh U, Park EC, Park EK, Pashazadeh Kan F, Patton GC, Pawar S, Pestell RG, Pinheiro M, Piradov MA, Pirouzpanah S, Pokhrel KN, Polibin RV, Prashant A, Pribadi DRA, Radfar A, Rahimi-Movaghar V, Rahman A, Rahman MHU, Rahman MA, Rahmani AM, Rajai N, Ram P, Ranabhat CL, Rathi P, Rawal L, Renzaho AMN, Reynales-Shigematsu LM, Rezapour A, Riahi SM, Riaz MA, Roever L, Ronfani L, Roshandel G, Roy A, Roy B, Sacco S, Saddik B, Sahebkar A, Salehi S, Salimzadeh H, Samaei M, Samy AM, Santos IS, Santric-Milicevic MM, Sarrafzadegan N, Sathian B, Sawhney M, Saylan M, Schaub MP, Schmidt MI, Schneider IJC, Schutte AE, Schwendicke F, Seidu AA, Senthil Kumar N, Sepanlou SG, Seylani A, Shafaat O, Shah SM, Shaikh MA, Shalash AS, Shannawaz M, Sharafi K, Sheikh A, Sheikhbahaei S, Shigematsu M, Shiri R, Shishani K, Shivakumar KM, Shivalli S, Shrestha R, Siabani S, Sidemo NB, Sigfusdottir ID, Sigurvinsdottir R, Silva DAS, Silva JP, Singh A, Singh JA, Singh V, Sinha DN, Sitas F, Skryabin VY, Skryabina AA, Soboka M, Soriano JB, Soroush A, Soshnikov S, Soyiri IN, Spurlock EE, Sreeramareddy CT, Stein DJ, Steiropoulos P, Stortecky S, Straif K, Suliankatchi Abdulkader R, Sulo G, Sundström J, Tabuchi T, Tadakamadla SK, Taddele BW, Tadesse EG, Tamiru AT, Tareke M, Tareque MI, Tarigan IU, Temsah MH, Thankappan KR, Thapar R, Tichopad A, Tolani MA, Topouzis F, Tovani-Palone MR, Tran BX, Tripathy JP, Tsegaye GW, Tsilimparis N, Tymeson HD, Ullah A, Ullah S, Unim B, Updike RL, Vacante M, Valdez PR, Vardavas C, Varona Pérez P, Vasankari TJ, Venketasubramanian N, Verma M, Vetrova MV, Vo B, Vu GT, Waheed Y, Wang Y, Welding K, Werdecker A, Whisnant JL, Wickramasinghe ND, Yamagishi K, Yandrapalli S, Yatsuya H, Yazdi-Feyzabadi V, Yeshaw Y, Yimmer MZ, Yonemoto N, Yu C, Yunusa I, Yusefzadeh H, Zahirian Moghadam T, Zaman MS, Zamanian M, Zandian H, Zar HJ, Zastrozhin MS, Zastrozhina A, Zavala-Arciniega L, Zhang J, Zhang ZJ, Zhong C, Zuniga YMH, Gakidou E. Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019. Lancet 2021; 397:2337-2360. [PMID: 34051883 PMCID: PMC8223261 DOI: 10.1016/s0140-6736(21)01169-7] [Citation(s) in RCA: 496] [Impact Index Per Article: 165.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 02/15/2021] [Accepted: 05/19/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Ending the global tobacco epidemic is a defining challenge in global health. Timely and comprehensive estimates of the prevalence of smoking tobacco use and attributable disease burden are needed to guide tobacco control efforts nationally and globally. METHODS We estimated the prevalence of smoking tobacco use and attributable disease burden for 204 countries and territories, by age and sex, from 1990 to 2019 as part of the Global Burden of Diseases, Injuries, and Risk Factors Study. We modelled multiple smoking-related indicators from 3625 nationally representative surveys. We completed systematic reviews and did Bayesian meta-regressions for 36 causally linked health outcomes to estimate non-linear dose-response risk curves for current and former smokers. We used a direct estimation approach to estimate attributable burden, providing more comprehensive estimates of the health effects of smoking than previously available. FINDINGS Globally in 2019, 1·14 billion (95% uncertainty interval 1·13-1·16) individuals were current smokers, who consumed 7·41 trillion (7·11-7·74) cigarette-equivalents of tobacco in 2019. Although prevalence of smoking had decreased significantly since 1990 among both males (27·5% [26·5-28·5] reduction) and females (37·7% [35·4-39·9] reduction) aged 15 years and older, population growth has led to a significant increase in the total number of smokers from 0·99 billion (0·98-1·00) in 1990. Globally in 2019, smoking tobacco use accounted for 7·69 million (7·16-8·20) deaths and 200 million (185-214) disability-adjusted life-years, and was the leading risk factor for death among males (20·2% [19·3-21·1] of male deaths). 6·68 million [86·9%] of 7·69 million deaths attributable to smoking tobacco use were among current smokers. INTERPRETATION In the absence of intervention, the annual toll of 7·69 million deaths and 200 million disability-adjusted life-years attributable to smoking will increase over the coming decades. Substantial progress in reducing the prevalence of smoking tobacco use has been observed in countries from all regions and at all stages of development, but a large implementation gap remains for tobacco control. Countries have a clear and urgent opportunity to pass strong, evidence-based policies to accelerate reductions in the prevalence of smoking and reap massive health benefits for their citizens. FUNDING Bloomberg Philanthropies and the Bill & Melinda Gates Foundation.
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Gonçalves MR, Dos Reis RCP, Tólio RP, Pellanda LC, Schmidt MI, Katz N, Mengue SS, Hallal PC, Horta BL, Silveira MF, Umpierre RN, Bastos-Molina CG, Souza da Silva R, Duncan BB. Social Distancing, Mask Use, and Transmission of Severe Acute Respiratory Syndrome Coronavirus 2, Brazil, April-June 2020. Emerg Infect Dis 2021; 27:2135-2143. [PMID: 34087090 PMCID: PMC8314805 DOI: 10.3201/eid2708.204757] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
We assessed the associations of social distancing and mask use with symptomatic, laboratory-confirmed severe acute respiratory syndrome coronavirus 2 infection in Porto Alegre, Brazil. We conducted a population-based case-control study during April–June 2020. Municipal authorities furnished case-patients, and controls were taken from representative household surveys. In adjusted logistic regression analyses of 271 case-patients and 1,396 controls, those reporting moderate to greatest adherence to social distancing had 59% (odds ratio [OR] 0.41, 95% CI 0.24–0.70) to 75% (OR 0.25, 95% CI 0.15–0.42) lower odds of infection. Lesser out-of-household exposure (vs. going out every day all day) reduced odds from 52% (OR 0.48, 95% CI 0.29–0.77) to 75% (OR 0.25, 95% CI 0.18–0.36). Mask use reduced odds of infection by 87% (OR 0.13, 95% CI 0.04–0.36). In conclusion, social distancing and mask use while outside the house provided major protection against symptomatic infection.
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