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Norde MM, Bromage S, Marchioni DML, Vasques AC, Deitchler M, Arsenaut J, de Carvalho AM, Velloso L, Willett W, Giovannucci E, Geloneze B. The global diet quality score as an indicator of adequate nutrient intake and dietary quality - a nation-wide representative study. Nutr J 2024; 23:42. [PMID: 38627669 PMCID: PMC11022474 DOI: 10.1186/s12937-024-00949-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Accepted: 04/10/2024] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND The Global Diet Quality Score (GDQS) was developed to be a simple, timely and cost-effective tool to track, simultaneously, nutritional deficiency and non-communicable disease risks from diet in diverse settings. The objective was to investigate the performance of GDQS as an indicator of adequate nutrient intake and dietary quality in a national-representative sample of the Brazilian population. METHODS Nationally-representative data from 44,744 men and non-pregnant and non-lactating women aging ≥ 10 years, from the Brazilian National Dietary Survey were used. Dietary data were collected through two 24-h recalls (24HR). The GDQS was calculated and compared to a proxy indicator of nutrient adequate intake (the Minimum Dietary Diversity for Women-MDD-W) and to an indicator of high-risk diet for non-communicable diseases (caloric contribution from ultra-processed foods-UPF). To estimate the odds for overall nutrient inadequacy across MDD-W and GDQS quintiles, a multiple logistic regression was applied, and the two metrics' performances were compared using Wald's post-test. RESULTS The mean GDQS for Brazilians was 14.5 (0-49 possible range), and only 1% of the population had a low-risk diet (GDQS ≥ 23). The GDQS mean was higher in women, elderly individuals and in higher-income households. An inverse correlation was found between the GDQS and UPF (rho (95% CI) = -0.20(-0.21;-0.19)). The odds for nutrient inadequacy were lower as quintiles of GDQS and MDD-W were higher (p-trend < 0.001), and MDD-W had a slightly better performance than GDQS (p-diff < 0.001). Having a low-risk GDQS (≥ 23) lowered the odds for nutrient inadequacy by 74% (95% CI:63%-81%). CONCLUSION The GDQS is a good indicator of overall nutrient adequacy, and correlates well with UPF in a nationally representative sample of Brazil. Future studies must investigate the relationship between the GDQS and clinical endpoints, strengthening the recommendation to use this metric to surveillance dietary risks.
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Affiliation(s)
- Marina M Norde
- Obesity and Comorbidities Research Center, University of Campinas, Campinas, SP, Brazil.
| | - Sabri Bromage
- Institute of Nutrition, Mahidol University, Phuttamonton, Thailand
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Dirce M L Marchioni
- Department of Nutrition, School of Public Health of the University of Sao Paulo, Sao Paulo, SP, Brazil
| | - Ana Carolina Vasques
- Obesity and Comorbidities Research Center, University of Campinas, Campinas, SP, Brazil
- School of Applied Sciences, University of Campinas, Limeira, SP, Brazil
| | - Megan Deitchler
- Intake-Center for Dietary Assessment, FHI 360, Washington, DC, USA
| | - Joanne Arsenaut
- Intake-Center for Dietary Assessment, FHI 360, Washington, DC, USA
| | - Aline M de Carvalho
- Department of Nutrition, School of Public Health of the University of Sao Paulo, Sao Paulo, SP, Brazil
| | - Lício Velloso
- Obesity and Comorbidities Research Center, University of Campinas, Campinas, SP, Brazil
| | - Walter Willett
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Edward Giovannucci
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Bruno Geloneze
- Obesity and Comorbidities Research Center, University of Campinas, Campinas, SP, Brazil
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Barboza LLS, Pierangeli Costa A, de Oliveira Araujo RH, Barbosa OGS, Leitão JLAESP, de Castro Silva M, Molina GE, Grossi Porto LG. Comparative analysis of temporal trends of obesity and physical inactivity in Brazil and the USA (2011-2021). BMC Public Health 2023; 23:2505. [PMID: 38097991 PMCID: PMC10720053 DOI: 10.1186/s12889-023-17257-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 11/18/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND The prevalence of obesity is rising in all subregions of America, including Brazil. To understand the obesity problem in Brazil better, a possible approach could be to analyze its obesity trend by comparing it with the reality of a country that went previously through the epidemiological transition, such as the USA. In addition, the obesity trend must be analyzed in comparison with obesity risk factors trends, such as the physical inactivity (PI) trend. Our aim was comparatively to analyze the temporal trends of obesity between Brazil and the USA from the perspective of temporal trends of PI. METHODS We conducted a temporal trend study based on data from national cross-sectional surveys: the VIGITEL (Surveillance System for Factors of Health Risk and Protection for Chronic Diseases by Telephone Survey) for Brazil and the BRFSS (Behavioral Risk Factor Surveillance System) for the USA, comparing the annual prevalence of obesity and PI between 2011 and 2021. For the analysis of each temporal variation, linear regressions were performed with the Prais-Winsten test, and Pearson's correlation coefficient was conducted to correlate the trends of the same variables between countries and of different variables within each country. RESULTS Considering the total sample, Brazil [coefficient (95%CI) 0.6 (0.4;0.7), p = 0.000] and the USA [coefficient (95%CI) 0.5 (0.5;0.6), p = 0.000] showed increasing trends in obesity. The tendency of PI was of stabilization in the two countries [Brazil: coefficient (95%CI) -0.03 (-0.3;0.2), p = 0.767 and USA coefficient (95%CI) -0.03 (-0.2;0.1), p = 0.584]. In addition, there was a correlation between obesity trends between Brazil and the USA (r = 0.971; p = 0.000), but there was no correlation between PI trends between the two countries, nor with obesity and PI trends within each country. CONCLUSIONS In the last decade, there was a trend towards increasing obesity and stabilization in PI, both in Brazil and the USA. However, there was no association between temporal trends in obesity and physical inactivity in both countries. Our data reinforce a call to action to prevent and control obesity, going with and beyond PI reduction.
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Affiliation(s)
- Luciana Leite Silva Barboza
- Study Group in Physiology and Epidemiology of Exercise and Physical Activity (GEAFS), Postgraduate Program in Physical Education, University of Brasília (UnB), Campos Darcy Ribeiro, Brasília, DF, 70910-900, Brazil
| | - Américo Pierangeli Costa
- Study Group in Physiology and Epidemiology of Exercise and Physical Activity (GEAFS), Postgraduate Program in Physical Education, University of Brasília (UnB), Campos Darcy Ribeiro, Brasília, DF, 70910-900, Brazil
| | | | - Ossian Guilherme Scaf Barbosa
- Study Group in Physiology and Epidemiology of Exercise and Physical Activity (GEAFS), Postgraduate Program in Physical Education, University of Brasília (UnB), Campos Darcy Ribeiro, Brasília, DF, 70910-900, Brazil
| | - João Luis Anwar El Sadat Paula Leitão
- Study Group in Physiology and Epidemiology of Exercise and Physical Activity (GEAFS), Postgraduate Program in Physical Education, University of Brasília (UnB), Campos Darcy Ribeiro, Brasília, DF, 70910-900, Brazil
| | - Mayda de Castro Silva
- Study Group in Physiology and Epidemiology of Exercise and Physical Activity (GEAFS), Postgraduate Program in Physical Education, University of Brasília (UnB), Campos Darcy Ribeiro, Brasília, DF, 70910-900, Brazil
| | - Guilherme Eckhardt Molina
- Study Group in Physiology and Epidemiology of Exercise and Physical Activity (GEAFS), Postgraduate Program in Physical Education, University of Brasília (UnB), Campos Darcy Ribeiro, Brasília, DF, 70910-900, Brazil
| | - Luiz Guilherme Grossi Porto
- Study Group in Physiology and Epidemiology of Exercise and Physical Activity (GEAFS), Postgraduate Program in Physical Education, University of Brasília (UnB), Campos Darcy Ribeiro, Brasília, DF, 70910-900, Brazil.
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Patriota P, Ko Maung K, Marques-Vidal P. Reported recommendations to address cardiovascular risk factors differ by socio-economic status in Brazil. Results from the Brazilian National Health Survey 2019. Prev Med Rep 2023; 36:102527. [PMID: 38116250 PMCID: PMC10728434 DOI: 10.1016/j.pmedr.2023.102527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 11/17/2023] [Accepted: 11/25/2023] [Indexed: 12/21/2023] Open
Abstract
Background Management of cardiovascular risk factors (high cholesterol, diabetes, and hypertension) should start by implementing a healthy lifestyle. Whereas lifestyle recommendations are provided irrespective of the patient's socio-economic status has not been recently assessed in the Brazilian population. Aims To assess the preventive measures against cardiovascular risk factors according to educational level and income in the Brazilian population. Methods Survey data of the 2019 Brazilian National Health Survey (PNS). The PNS is a nationwide household-based survey carried out by the Brazilian Ministry of Health. The PNS included face-to-face interviews and collected information on lifestyle management of high cholesterol, diabetes, and hypertension by a healthy diet, an adequate weight, exercise, and quitting smoking. The participant's educational level and income (in multiples of the basic salary per capita) was collected. Results Of the 88,052 participants included, 13,151 (14.9%), 6,986 (7.9%) and 22,516 (25.6%) reported being diagnosed with high cholesterol, diabetes, or hypertension, respectively. Dietary recommendations were the most frequently provided (94.5%, 94.6% and 88.1% for high cholesterol diabetes, and hypertension, respectively), while recommendations to quit smoking to current smokers were the least frequently provided (74.9%, 85.8% and 81.1% for high cholesterol, diabetes, and hypertension, respectively). After multivariable adjustment, participants with a higher educational level or a higher income had a higher likelihood of reporting receipt lifestyle recommendations for high cholesterol or hypertension, while no associations were found for most recommendations for diabetes. Conclusion Better-educated, wealthier Brazilians report receiving more lifestyle recommendations regarding high cholesterol and hypertension management more frequently than lower-educated or with low-income.
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Affiliation(s)
- Pollyanna Patriota
- Pôle Santé Vallée de Joux – Joux Valley Health Center, Le Sentier, Switzerland
| | - Ko Ko Maung
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
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Fan L, Liu L, Zhao Y, Mo Y, Li J, Cai L. Trends in the prevalence and economic burden of hypertension and its socioeconomic disparities in rural southwestern China: two repeated cross-sectional studies. BMJ Open 2023; 13:e076694. [PMID: 37977876 PMCID: PMC10660421 DOI: 10.1136/bmjopen-2023-076694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 11/02/2023] [Indexed: 11/19/2023] Open
Abstract
OBJECTIVES This study aimed to analyse trends in the prevalence and economic burden of hypertension and its socioeconomic disparities in rural southwestern China. DESIGN Two repeated cross-sectional studies were conducted to collect interview and health examination data among individuals aged ≥35 years in rural Yunnan Province, China. SETTING Three rural areas of Yunnan, China. PARTICIPANTS We invited 8187 consenting participants in 2010-2011 and 7572 consenting participants in 2020-2021 to undergo interviews and health examinations. RESULTS The standardised prevalence of hypertension significantly increased from 26.1% in 2011 to 40.4% in 2021 (p<0.01), and the per capita direct, indirect and disease economic burdens increased from US$1323, US$46 and US$1369 to US$2196, US$49 and US$2244, respectively. In addition to the indirect economic burden, the direct and disease economic burdens increased significantly. The prevalence of hypertension was higher in illiterate population, among participants with low annual household income per capita, and participants with good access to medical services than in their counterparts who had good education, high annual household income per capita and poor access to medical services (all p<0.05). Moreover, the prevalence of hypertension showed a downward trend with improvement in socioeconomic position (SEP) (p<0.05). The per capita direct and disease economic burdens increased most in participants with low SEP, but the per capita indirect economic burden increased most in participants with upper-middle SEP. CONCLUSIONS The prevalence and economic burden of hypertension have visibly accelerated in rural Yunnan Province over the 10 years studied, and socioeconomic disparities have been found in the prevalence and economic burden of hypertension. These findings highlight that socioeconomic differentials should be tailored to address the timing of effective interventions for hypertension prevention and control and reduce the economic burden of hypertension in rural southwestern China.
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Affiliation(s)
- Luming Fan
- School of Nursing, Kunming Medical University, Kunming, China
- School of Public Health, Kunming Medical University, Kunming, China
| | - Lan Liu
- School of Public Health, Kunming Medical University, Kunming, China
| | - Yi Zhao
- School of Public Health, Kunming Medical University, Kunming, China
| | - Yi Mo
- School of Public Health, Kunming Medical University, Kunming, China
| | - Jinbo Li
- School of Public Health, Kunming Medical University, Kunming, China
| | - Le Cai
- School of Public Health, Kunming Medical University, Kunming, China
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Sharma SK, Joseph J, D HS, Nambiar D. Assessing inequalities in publicly funded health insurance scheme coverage and out-of-pocket expenditure for hospitalization: findings from a household survey in Kerala. Int J Equity Health 2023; 22:197. [PMID: 37759247 PMCID: PMC10537906 DOI: 10.1186/s12939-023-02005-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 09/05/2023] [Indexed: 09/29/2023] Open
Abstract
BACKGROUND Increasing financial risk protection is a key feature of Universal Health Coverage and the path towards health for all. Publicly Funded Health Insurance Schemes (PFHIS) have been considered as one of the pathways to safeguard against financial shocks and potentially reduce Out-of-Pocket Expenditure (OOPE). The south Indian state of Kerala has roughly a decade-long experience in implementing PFHIS. To date, there have been very few assessments of the coverage of these schemes and their impact on expenditure. Aiming to fill this gap, we explored the extent of and inequalities in insurance coverage, as well as choice of providers, and median cost of hospitalization in Kerala among insured and uninsured individuals. METHODS A cross-sectional household survey was conducted in four districts of Kerala as part of a larger health systems research study from July-October 2019. We employed multistage random sampling to collect data from 13,064 individuals covering 3234 households in the catchment area of eight primary health care facilities. We used descriptive statistics, bivariate and multivariate analysis. We evaluated socioeconomic disparities using an absolute measure of inequality-the Slope Index of Inequality (SII) and a relative measure-the Relative Concentration Index (RCI). RESULTS A substantial proportion of our study respondents reported that they were covered by PFHIS (45.8%). Respondents belonging to lowest and middle wealth quintiles of household had significantly greater odds of being covered by insurance than respondents belonging to the richest wealth quintile. The negative magnitude of RCI [-16.8% (95%CI: -25.3, -8.4)] and SII [-21.5% (95%CI: -36.1, -7.0)] suggest a higher concentration of PFHIS coverage among the poor. Median OOPE for hospitalisation at private health facilities was INR 9000 (approx. USD 108.70) among those covered by PFHIS, whereas it was INR 10500 (approx. USD 126.82) at private health facilities among those not covered by insurance. CONCLUSION While PFHIS seems to be appropriately targeting poorer populations, among the insured, OOPE for hospitalization persists. Among the uninsured, population subgroups with advantage are spending the greatest amount, raising questions about whether those facing relative disadvantage are forgoing care altogether or seeking care using cheaper, public avenues. Further policy action to more effectively reduce financial burden among left behind eligible populations under PFHIS will be essential to UHC progress in the state.
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Affiliation(s)
| | - Jaison Joseph
- The George Institute for Global Health, New Delhi, India.
| | - Hari Sankar D
- The George Institute for Global Health, New Delhi, India
| | - Devaki Nambiar
- The George Institute for Global Health, New Delhi, India
- Faculty of Medicine, University of New South Wales, Sydney, Australia
- Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India
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Sharma SK, Nambiar D, Joseph J. Hidden educational inequalities in high blood pressure and high blood glucose levels in Kerala: evidence from the National Family Health Survey (2019-2021). BMJ Open 2023; 13:e068553. [PMID: 37015784 PMCID: PMC10083770 DOI: 10.1136/bmjopen-2022-068553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/06/2023] Open
Abstract
OBJECTIVE This study assesses educational inequalities in measured as well as self-reported high blood pressure (BP) and high blood glucose (BG) in the southern Indian state of Kerala, which is known to have high chronic disease morbidity. DESIGN The present findings are drawn from a large-scale, nationally representative cross-sectional study. SETTINGS AND PARTICIPANTS India's Demographic and Health Survey (conducted in 2019-2021) had data on 36 526 individuals aged 15 years and above in the state of Kerala, India. PRIMARY AND SECONDARY OUTCOMES MEASURES Measured high BP and BG; self-reported high BP and BG; as well as self-reported BP and BG testing. Descriptive statistics, bivariate analysis, along with multivariate statistics, were used. Educational inequalities were assessed through absolute and relative complex measures of inequality, namely the Slope Index of Inequality (SII) and Relative Concentration Index (RCI), respectively, with 95% CIs. RESULTS The largest margin of inequality in Kerala, between the least and the most educated groups, was observed for measured high BP (57.7% and 17.6%). Measured high BP (SII -45.4% (95% CI -47.3% to -43.4%); RCI -26.6% (95% CI -27.9% to -25.3%)), self-reported high BP (SII -34.5% (95% CI -36.3% to -32.7%); RCI -19.0% (95% CI -20.1% to -17.9%)). High BG levels were concentrated among those with lower educational attainment (SII -26.6% (95% CI -28.6% to -24.7%); RCI -15.7% (95% CI -16.9% to -14.5%)), represented by negative SII and RCI values. CONCLUSIONS The study findings suggest that research and programme efforts need to be redoubled to determine what is driving greater vulnerability to non-communicable diseases among population with lower educational attainment on the one hand and the possible role that improving education access can be on health outcomes, on the other hand. Further research should explore relevant intersections with low education.
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Affiliation(s)
- Santosh Kumar Sharma
- Healthier Societies, The George Institute for Global Health India, New Delhi, Delhi, India
| | - Devaki Nambiar
- Healthier Societies, The George Institute for Global Health India, New Delhi, Delhi, India
- Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
- Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India
| | - Jaison Joseph
- Healthier Societies, The George Institute for Global Health India, New Delhi, Delhi, India
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Socioeconomic inequalities in diabetes prevalence: the case of South Africa between 2003 and 2016. BMC Public Health 2023; 23:324. [PMID: 36788553 PMCID: PMC9926686 DOI: 10.1186/s12889-023-15186-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 02/01/2023] [Indexed: 02/16/2023] Open
Abstract
BACKGROUND Diabetes is a growing epidemic worldwide and the effect of socioeconomic status (SES) is frequently acknowledged in the literature. This study aims to compare the effect of SES on diabetes prevalence in South Africa between 2003 and 2016. In addition, vulnerable groups regarding diabetes development in 2016 will be identified. METHODS Using DHS data there were 8,006 participants (59.19% women) in 2003 and 10,292 participants (59.42% women) in 2016. Logistic regression and odds ratios (ORs) with 95% confidence intervals (CIs) were calculated for diabetes by age, gender, educational level and place of residence. To identify vulnerable groups with high risk of developing diabetes in 2016, the method of p-value based regression tree analysis was applied using "wealth index" and "weight perception" as additional variables. RESULTS There was an increase in diabetes prevalence from 3.86% in 2003 to 4.46% in 2016. Women had more risk of developing diabetes at both time points (27% in 2003 and 24% in 2016 more risk). Increase in age and living in urban areas were associated with more risk of developing diabetes at both time points. There was no specific pattern regarding risk of developing diabetes and educational level in case of women. However, men who completed secondary school or had a higher diploma or above had more risk of developing diabetes in 2016 (OR = 2.24 and 4.67 respectively). Vulnerable groups who have higher risk of developing diabetes in 2016 were participants aged "60 years or older" with a wealth index of "rich" or "richer", followed by participants from the same age group who were "poor" or "poorer" and participants aged "40-59 years" with a wealth index of "rich" or "richer". Subsequently were participants from the age group "15-39 years" with a weight perception of "overweight" or "obese". CONCLUSION Diabetes prevalence increased in South Africa between 2003 and 2016. Main risk factors were age, gender and living in urban areas. Men with high educational level were more at risk of developing diabetes in 2016. Vulnerable groups in 2016 were participants 40 years and older, particularly with high SES. This was followed by younger participants who were obese or overweight.
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Louzada MLDC, Costa JC, Costa CDS, Wendt A, Azeredo CM. Changes in socioeconomic inequalities in food consumption among Brazilian adults in a 10-years period. Front Nutr 2022; 9:1020987. [PMID: 36590226 PMCID: PMC9797961 DOI: 10.3389/fnut.2022.1020987] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 11/30/2022] [Indexed: 12/23/2022] Open
Abstract
Objective To evaluate changes in socioeconomic inequalities in food consumption in Brazil over a 10-year period. Methods Data on 24-h recalls of adults (aged 20 years or more) from the 2008/9 (n = 26,327) and 2017/8 (n = 37,689). Brazilian Dietary Survey were analyzed. We used the Nova classification system to group food items and estimate the percentage of total energy from ultra-processed foods and plant-based natural or minimally processed foods. For sex and area of residence, we calculated the percentage points (p.p.) difference between the estimates for women and men, and rural and urban populations. Negative values indicate higher consumption among men or urban residents, positive values indicate higher consumption among women or rural residents, and zero indicates equality. For education and wealth levels we calculated the slope index of inequality (SII). The SII varies from -100 to 100, with positive values indicating higher consumption among more educated or wealthiest groups, negative values indicating higher consumption among less educated or poorest groups, and zero equality. Results Over the period, we observed a reduction in the percentage of total energy from plant-based natural/minimally processed foods from 13.0 to 12.2% and an increase in that of ultra-processed foods from 17.0 to 18.3%. The urban population and those in the wealthier and more educated groups presented higher consumption of ultra-processed foods and lower consumption of plant-based natural/minimally processed foods in both survey years. Over the 10-year period, there was an overall reduction of the socioeconomic inequalities, mainly explained by the greater increase in ultra-processed food consumption by the rural population and those from the poorest and less educated groups (difference for area -7.2 p.p. in 2008/9 and -5.9 p.p. in 2017/8; SII for education 17.7 p.p. in 2008/9 and 13.8 p.p. in 2017/8; SII for wealth 17.0 p.p. in 2008/9 and 11.2 p.p. in 2017/8). Conclusion Socioeconomic inequalities in food consumption decreased in Brazil, but it may lead to the overall deterioration of the dietary quality of the more vulnerable groups.
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Affiliation(s)
- Maria Laura da Costa Louzada
- Center of Epidemiological Studies in Nutrition and Health (NUPENS), University of São Paulo, São Paulo, Brazil,School of Public Health, Department of Nutrition, University of São Paulo, São Paulo, Brazil,*Correspondence: Maria Laura da Costa Louzada ✉
| | - Janaína Calu Costa
- International Center for Equity in Health, University of Pelotas, Pelotas, Brazil
| | - Caroline dos Santos Costa
- Center of Epidemiological Studies in Nutrition and Health (NUPENS), University of São Paulo, São Paulo, Brazil,School of Public Health, Department of Nutrition, University of São Paulo, São Paulo, Brazil
| | - Andrea Wendt
- Postgraduate Program in Health Technology, Catholic University of Paraná, Curitiba, Brazil
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Estivaleti JM, Guzman-Habinger J, Lobos J, Azeredo CM, Claro R, Ferrari G, Adami F, Rezende LFM. Time trends and projected obesity epidemic in Brazilian adults between 2006 and 2030. Sci Rep 2022; 12:12699. [PMID: 35882969 PMCID: PMC9315079 DOI: 10.1038/s41598-022-16934-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 07/18/2022] [Indexed: 01/22/2023] Open
Abstract
We examined time trends and projected obesity epidemic in Brazilian adults between 2006 and 2030 by sex, race/skin color, educational attainment, and state capitals. Self-reported body weight and height of 730,309 adults (≥ 18 years) from the Vigitel study were collected by telephone interview between 2006 and 2019. A multinomial logistic regression model was used to predict the prevalence of body mass index (BMI) categories as a function of time by 2030. The prevalence of obesity increased from 11.8% in 2006 to 20.3% in 2019. The projected prevalences by 2030 are estimated to be 68.1% for overweight, 29.6% for obesity, and 9.3% for obesity classes II and III. Women, black and other minority ethnicities, middle-aged adults, adults with ≤ 7 years of education, and in Northern and Midwestern capitals are estimated to have higher obesity prevalence by 2030. Our findings indicate a sustained increase in the obesity epidemic in all sociodemographic subgroups and across the country. Obesity may reach three out of 10 adults by 2030.
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Affiliation(s)
- José Matheus Estivaleti
- Department of Preventive Medicine, Escola Paulista de Medicina, Universidade Federal de São Paulo, Sao Paulo, Brazil
| | - Juan Guzman-Habinger
- Facultad de Ciencias, Especialidad Medicina del Deporte Y La Actividad Física, Universidad Mayor, Santiago, Chile
| | | | | | - Rafael Claro
- Departamento de Nutrição, Escola de Enfermagem, Universidade Federal de Minas Gerais (UFMG), Minas Gerais, Belo Horizonte, Brasil
| | - Gerson Ferrari
- Universidad de Santiago de Chile (USACH), Escuela de Ciencias de la Actividad Física, El Deporte y la Salud, Santiago, Chile
| | - Fernando Adami
- Laboratório de Epidemiologia e Análise de Dados, Centro Universitário FMABC, Santo André, São Paulo, Brasil
| | - Leandro F M Rezende
- Department of Preventive Medicine, Escola Paulista de Medicina, Universidade Federal de São Paulo, Sao Paulo, Brazil.
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