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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:S0140-6736(24)00757-8. [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] [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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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:S0140-6736(24)00367-2. [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] [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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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:S0140-6736(24)00476-8. [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] [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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Massahi T, Kiani A, Sharafi K, Omer AK, Ebrahimzadeh G, Jaafari J, Fattahi N, Parnoon K. A national systematic literature review for aflatoxin M1 in commonly consumed cheese brands in Iran: Human health risk assessment by Monte Carlo simulation. Heliyon 2023; 9:e19679. [PMID: 37809415 PMCID: PMC10558958 DOI: 10.1016/j.heliyon.2023.e19679] [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: 04/13/2023] [Revised: 08/28/2023] [Accepted: 08/30/2023] [Indexed: 10/10/2023] Open
Abstract
Cheese is popular in Iran because of its high nutritional value; therefore, it is necessary to control this product regarding health risk factors, particularly aflatoxin M1 (AFM1). This research reviewed AFM1 in various varieties of cheese in Iran to assess the potential health risks associated with consuming these products for different age groups. In this regard, all accessible papers from different databases were screened between June 27, 2000 and October 10, 2022 b y systematic research and then considering the selection criteria of the studies; finally, 22 articles were selected for the current review. The amount and prevalence of AFM1 were calculated and separated based on the cheese variety, and the sampling location; health risk assessment (HRA), statistical, uncertainty, and sensitivity analysis for AFM1 of cheese for different age groups were performed. The study results for 2143 samples showed that the overall average AFM1 for cheese is 160 ± 175 ng/kg, below the European Commission (EC) regulation (250 ng/kg). AFM1 contaminated 72.42% of all cheese samples, and 13% of these contaminated samples had a higher AFM1 than the EC regulation. Cheese varieties were ranked based on average levels of AFM1 as white pasteurized > traditional > creamy > probiotic > Lighvan, and this ranking was obtained based on sampling locations as market > dairy factories > livestock farms. Based on the HRAs, from the perspective of the liver cancer risk (LCR), the margin of exposure (MOE), and the hazard index (HI) approach, it can be concluded that cheese produced in Iran, in terms of AFM1, particularly for children, poses serious health risks. Accordingly, it is imperative to carefully consider implementing suitable management methods to inhibit the growth of aflatoxin B1 (AFB1) in livestock fodder, and training in sanitary production and processing of dairy products according to world standards is suggested for industrial and traditional cheese producers across Iran.
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Affiliation(s)
- Tooraj Massahi
- Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Amir Kiani
- Regenerative Medicine Research Center (RMRC), Kermanshah University of Medical Sciences, Kermanshah, Iran
- Pharmaceutical Sciences Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Kiomars Sharafi
- Research Center for Environmental Determinants of Health (RCEDH), Research Institute for Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
- Department of Environmental Health Engineering, School of Public Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Abdullah Khalid Omer
- Department of Food Hygiene and Quality Control, Faculty of Veterinary Medicine, Urmia University, Urmia, Iran
| | - Gholamreza Ebrahimzadeh
- Department of Environmental Health Engineering, School of Public Health, Zabol University of Medical Sciences, Zabol, Iran
| | - Jalil Jaafari
- Research Center of Health and Environment, Guilan University of Medical Sciences, Rasht, Iran
| | - Nazir Fattahi
- Research Center for Environmental Determinants of Health (RCEDH), Research Institute for Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Kimya Parnoon
- Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran
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Javan Mahjoub Doust F, Sharafi K, Jaafari J. Novel fabrication of the recyclable Bi 7O 9I 3/chitosan and BiOI/chitosan heterostructure with improved photocatalytic activity for degradation of dimethyl phthalate under visible light. Environ Sci Pollut Res Int 2023:10.1007/s11356-023-27935-w. [PMID: 37280488 DOI: 10.1007/s11356-023-27935-w] [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: 03/08/2023] [Accepted: 05/20/2023] [Indexed: 06/08/2023]
Abstract
Among the bismuth oxyhalides, bismuth oxide has the shortest band gap and high absorption power in the visible light region. Dimethyl phthalate (DMP) has been identified as endocrine-disrupting plasticizer and emerging pollutant, which was selected as the target pollutant to evaluate the efficacy of the studied catalytic process. In this work, Bi7O9I3/chitosan and BiOI/chitosan were efficaciously synthesized by the hydrothermal process method. Characterizing prepared photocatalysts was done by employing transmission electron microscopy, X-ray diffraction, scanning electron microscopy energy-dispersive spectroscopy, and diffuse reflectance spectroscopy. For this study, the test design was performed using the Box-Behnken Design (BBD) method in which the variables of pH, Bi7O9I3/chitosan dose, and dimethyl phthalate concentration were examined for the catalytic removal of dimethyl phthalate in the presence of visible light. Our detected results disclosed that the order of efficiency in DMP removal was as follows: Bi7O9I3/chitosan > BiOI/chitosan > Bi7O9I3 > BiOI. Also, the maximum pseudo-first-order kinetic coefficient for Bi7O9I3/chitosan was 0.021 (min)-1. When the synthesized catalysts were exposed to visible light irradiation, the predominant active species were O2- and h+ for degradation of DMP. The study on the reuse of Bi7O9I3/chitosan showed that this catalyst could be reused 5 times without significant reduction in efficiency, which indicates the cost-effectiveness and environmental friendliness of using this catalyst.
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Affiliation(s)
- Fatemeh Javan Mahjoub Doust
- Department of Environmental Health Engineering, School of Health, Guilan University of Medical Sciences, Rasht, Iran
| | - Kiomars Sharafi
- Research Center for Environmental Determinants of Health (RCEDH), Research Institute for Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
- Department of Environmental Health Engineering, School of Public Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Jalil Jaafari
- Department of Environmental Health Engineering, Research Center of Health and Environment, School of Health, Guilan University of Medical Sciences, Rasht, Iran.
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Soleimani H, Sharafi K, Amiri Parian J, Jaafari J, Ebrahimzadeh G. Acidic modification of natural stone for Remazol Black B dye adsorption from aqueous solution- central composite design (CCD) and response surface methodology (RSM). Heliyon 2023; 9:e14743. [PMID: 37025793 PMCID: PMC10070669 DOI: 10.1016/j.heliyon.2023.e14743] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 03/10/2023] [Accepted: 03/16/2023] [Indexed: 03/29/2023] Open
Abstract
This study investigated the adsorption capacity of Remazol Black B (RBB) from aqueous solutions using a pumice stone as a cheap, high-frequent, and available adsorbent. The raw pumice was modified using five acids: Acetic, Sulfuric, Phosphoric, Nitric, and Hydrochloric acid. Fourier transform infrared spectrograph (FTIR), x-ray fluorescence (XRF), and scanning electron microscopy (SEM) were used to analyze the morphological and chemical properties of raw and modified adsorbents. The adsorption capacity equilibrium was investigated using the Langmuir, Freundlich, Temkin, and Dubinin - Radushkevich isotherms. The results indicated that the data are well-fitted with Langmuir isotherm. The maximum adsorption capacity was observed when pumice modified with H2SO4 (qm = 10.00 mg/g) was used, and the RBB removal efficiency was higher than that for raw pumice (qm = 5.26 mg/g). Also, the results were best fitted with pseudo-second-order kinetic. The experiments indicated that increasing the RBB concentration reduces the efficiency of adsorbents while increasing the contact time and adsorbent doses improved the RBB removal efficiency. Accordingly, it can be concluded that pumice stone modified with various acids can be considered a cheap adsorbent with high efficiency in removing RBB from industry effluent.
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Affiliation(s)
- Hamed Soleimani
- Research Center for Environmental Determinants of Health (RCEDH), Research Institute for Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
- Student's Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Kiomars Sharafi
- Research Center for Environmental Determinants of Health (RCEDH), Research Institute for Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
- Department of Environmental Health Engineering, School of Public Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Jafar Amiri Parian
- Biosystems Engineering Department, Bu-Ali Sina University, Hamedan, Iran
- Corresponding author.
| | - Jalil Jaafari
- Department of Environmental Health Engineering, Research Center of Health and Environment, School of Health, Guilan University of Medical Sciences, Rasht, Iran
| | - Gholamreza Ebrahimzadeh
- Department of Environmental Health Engineering, School of Public Health, Zabol University of Medical Sciences, Zabol, Iran
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Naghipour D, Taghavi K, Jaafari J, Kabdaşlı I, Makkiabadi M, Javan Mahjoub Doust M, Javan Mahjoub Doust F. Scallop shell coated Fe 2O 3 nanocomposite as an eco-friendly adsorbent for tetracycline removal. Environ Technol 2023; 44:150-160. [PMID: 34357852 DOI: 10.1080/09593330.2021.1966105] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [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: 05/20/2021] [Accepted: 08/01/2021] [Indexed: 06/13/2023]
Abstract
ABSTRACTThe present study focused on the usability of scallop shell coated Fe2O3 nanoparticles as an eco-friendly new absorbent in the treatment of tetracycline (TC). The process performance in terms of TC removal was investigated at different operating conditions, i.e. at solution pH of 3-11, Fe2O3-scallop dosage of 0.4-2.4 g L-1, initial TC content of 20-120 mg L-1 and temperature of 25-55°C. Solution pH of 7 yielded the highest TC removal efficiency (99%). At this pH value, almost complete TC removal was achieved at a Fe2O3-scallop shell nanocomposite dose of 1.6 g L-1 and 25°C. The responsible TC removal mechanism is suggested as the non-electrical π-π dispersion interaction between the bulk π system on the absorbent surface and TC molecules bearing both benzene rings and double bonds at this solution pH. TC removal efficiency appreciably enhanced up to the Fe2O3-scallop dosage of 1.6 g L-1 being an optimum. Adsorption rate was found to be fast at lower initial TC concentrations than 40 mg L-1. The effect of temperature on TC removal efficiency was insignificant. Adsorption followed the pseudo-second-order kinetic model. Experimental data perfectly fitted by the Langmuir equation. The maximum adsorption capacity was calculated as 49.26 mg g-1. Thermodynamic analysis demonstrated that adsorption process was spontaneous process and endothermic. The results obtained from the present study proved the excellent performance of scallop shell coated Fe2O3 nanoparticles as an eco-friendly adsorbent in TC treatment.
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Affiliation(s)
- Dariush Naghipour
- School of Health, Guilan University of Medical Sciences, Rasht, Iran
| | - Kamran Taghavi
- School of Health, Guilan University of Medical Sciences, Rasht, Iran
| | - Jalil Jaafari
- School of Health, Guilan University of Medical Sciences, Rasht, Iran
| | - Işık Kabdaşlı
- Environmental Engineering Department, Civil Engineering Faculty, İstanbul Technical University, İstanbul, Republic of Turkey
| | - Mahmoud Makkiabadi
- Department of Mechanical Engineering, Amirkabir University of Technology, Tehran, Iran
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Kyu HH, Vongpradith A, Sirota SB, Novotney A, Troeger CE, Doxey MC, Bender RG, Ledesma JR, Biehl MH, Albertson SB, Frostad JJ, Burkart K, Bennitt FB, Zhao JT, Gardner WM, Hagins H, Bryazka D, Dominguez RMV, Abate SM, Abdelmasseh M, Abdoli A, Abdoli G, Abedi A, Abedi V, Abegaz TM, Abidi H, Aboagye RG, Abolhassani H, Abtew YD, Abubaker Ali H, Abu-Gharbieh E, Abu-Zaid A, Adamu K, Addo IY, Adegboye OA, Adnan M, Adnani QES, Afzal MS, Afzal S, Ahinkorah BO, Ahmad A, Ahmad AR, Ahmad S, Ahmadi A, Ahmadi S, Ahmed H, Ahmed JQ, Ahmed Rashid T, Akbarzadeh-Khiavi M, Al Hamad H, Albano L, Aldeyab MA, Alemu BM, Alene KA, Algammal AM, Alhalaiqa FAN, Alhassan RK, Ali BA, Ali L, Ali MM, Ali SS, Alimohamadi Y, Alipour V, Al-Jumaily A, Aljunid SM, Almustanyir S, Al-Raddadi RM, Al-Rifai RHH, AlRyalat SAS, Alvis-Guzman N, Alvis-Zakzuk NJ, Ameyaw EK, Aminian Dehkordi JJ, Amuasi JH, Amugsi DA, Anbesu EW, Ansar A, Anyasodor AE, Arabloo J, Areda D, Argaw AM, Argaw ZG, Arulappan J, Aruleba RT, Asemahagn MA, Athari SS, Atlaw D, Attia EF, Attia S, Aujayeb A, Awoke T, Ayana TM, Ayanore MA, Azadnajafabad S, Azangou-Khyavy M, Azari S, Azari Jafari A, Badar M, Badiye AD, Baghcheghi N, Bagherieh S, Baig AA, Banach M, Banerjee I, Bardhan M, Barone-Adesi F, Barqawi HJ, Barrow A, Bashiri A, Bassat Q, Batiha AMM, Belachew AB, Belete MA, Belgaumi UI, Bhagavathula AS, Bhardwaj N, Bhardwaj P, Bhatt P, Bhojaraja VS, Bhutta ZA, Bhuyan SS, Bijani A, Bitaraf S, Bodicha BBA, Briko NI, Buonsenso D, Butt MH, Cai J, Camargos P, Cámera LA, Chakraborty PA, Chanie MG, Charan J, Chattu VK, Ching PR, Choi S, Chong YY, Choudhari SG, Chowdhury EK, Christopher DJ, Chu DT, Cobb NL, Cohen AJ, Cruz-Martins N, Dadras O, Dagnaw FT, Dai X, Dandona L, Dandona R, Dao ATM, Debela SA, Demisse B, Demisse FW, Demissie S, Dereje D, Desai HD, Desta AA, Desye B, Dhingra S, Diao N, Diaz D, Digesa LE, Doan LP, Dodangeh M, Dongarwar D, Dorostkar F, dos Santos WM, Dsouza HL, Dubljanin E, Durojaiye OC, Edinur HA, Ehsani-Chimeh E, Eini E, Ekholuenetale M, Ekundayo TC, El Desouky ED, El Sayed I, El Sayed Zaki M, Elhadi M, Elkhapery AMR, Emami A, Engelbert Bain L, Erkhembayar R, Etaee F, Ezati Asar M, Fagbamigbe AF, Falahi S, Fallahzadeh A, Faraj A, Faraon EJA, Fatehizadeh A, Ferrara P, Ferrari AA, Fetensa G, Fischer F, Flavel J, Foroutan M, Gaal PA, Gaidhane AM, Gaihre S, Galehdar N, Garcia-Basteiro AL, Garg T, Gebrehiwot MD, Gebremichael MA, Gela YY, Gemeda BNB, Gessner BD, Getachew M, Getie A, Ghamari SH, Ghasemi Nour M, Ghashghaee A, Gholamrezanezhad A, Gholizadeh A, Ghosh R, Ghozy S, Goleij P, Golitaleb M, Gorini G, Goulart AC, Goyomsa GG, Guadie HA, Gudisa Z, Guled RA, Gupta S, Gupta VB, Gupta VK, Guta A, Habibzadeh P, Haj-Mirzaian A, Halwani R, Hamidi S, Hannan MA, Harorani M, Hasaballah AI, Hasani H, Hassan AM, Hassani S, Hassanian-Moghaddam H, Hassankhani H, Hayat K, Heibati B, Heidari M, Heyi DZ, Hezam K, Holla R, Hong SH, Horita N, Hosseini MS, Hosseinzadeh M, Hostiuc M, Househ M, Hoveidamanesh S, Huang J, Hussein NR, Iavicoli I, Ibitoye SE, Ikuta KS, Ilesanmi OS, Ilic IM, Ilic MD, Immurana M, Ismail NE, Iwagami M, Jaafari J, Jamshidi E, Jang SI, Javadi Mamaghani A, Javaheri T, Javanmardi F, Javidnia J, Jayapal SK, Jayarajah U, Jayaram S, Jema AT, Jeong W, Jonas JB, Joseph N, Joukar F, Jozwiak JJ, K V, Kabir Z, Kacimi SEO, Kadashetti V, Kalankesh LR, Kalhor R, Kamath A, Kamble BD, Kandel H, Kanko TK, Karaye IM, Karch A, Karkhah S, Kassa BG, Katoto PDMC, Kaur H, Kaur RJ, Keikavoosi-Arani L, Keykhaei M, Khader YS, Khajuria H, Khan EA, Khan G, Khan IA, Khan M, Khan MN, Khan MAB, Khan YH, Khatatbeh MM, Khosravifar M, Khubchandani J, Kim MS, Kimokoti RW, Kisa A, Kisa S, Kissoon N, Knibbs LD, Kochhar S, Kompani F, Koohestani HR, Korshunov VA, Kosen S, Koul PA, Koyanagi A, Krishan K, Kuate Defo B, Kumar GA, Kurmi OP, Kuttikkattu A, Lal DK, Lám J, Landires I, Ledda C, Lee SW, Levi M, Lewycka S, Liu G, Liu W, Lodha R, Lorenzovici L, Lotfi M, Loureiro JA, Madadizadeh F, Mahmoodpoor A, Mahmoudi R, Mahmoudimanesh M, Majidpoor J, Makki A, Malakan Rad E, Malik AA, Mallhi TH, Manla Y, Matei CN, Mathioudakis AG, Maude RJ, Mehrabi Nasab E, Melese A, Memish ZA, Mendoza-Cano O, Mentis AFA, Meretoja TJ, Merid MW, Mestrovic T, Micheletti Gomide Nogueira de Sá AC, Mijena GFW, Minh LHN, Mir SA, Mirfakhraie R, Mirmoeeni S, Mirza AZ, Mirza M, Mirza-Aghazadeh-Attari M, Misganaw AS, Misganaw AT, Mohammadi E, Mohammadi M, Mohammed A, Mohammed S, Mohan S, Mohseni M, Moka N, Mokdad AH, Momtazmanesh S, Monasta L, Moniruzzaman M, Montazeri F, Moore CE, Moradi A, Morawska L, Mosser JF, Mostafavi E, Motaghinejad M, Mousavi Isfahani H, Mousavi-Aghdas SA, Mubarik S, Murillo-Zamora E, Mustafa G, Nair S, Nair TS, Najafi H, Naqvi AA, Narasimha Swamy S, Natto ZS, Nayak BP, Nejadghaderi SA, Nguyen HVN, Niazi RK, Nogueira de Sá AT, Nouraei H, Nowroozi A, Nuñez-Samudio V, Nzoputam CI, Nzoputam OJ, Oancea B, Ochir C, Odukoya OO, Okati-Aliabad H, Okekunle AP, Okonji OC, Olagunju AT, Olufadewa II, Omar Bali A, Omer E, Oren E, Ota E, Otstavnov N, Oulhaj A, P A M, Padubidri JR, Pakshir K, Pakzad R, Palicz T, Pandey A, Pant S, Pardhan S, Park EC, Park EK, Pashazadeh Kan F, Paudel R, Pawar S, Peng M, Pereira G, Perna S, Perumalsamy N, Petcu IR, Pigott DM, Piracha ZZ, Podder V, Polibin RV, Postma MJ, Pourasghari H, Pourtaheri N, Qadir MMF, Raad M, Rabiee M, Rabiee N, Raeghi S, Rafiei A, Rahim F, Rahimi M, Rahimi-Movaghar V, Rahman A, Rahman MO, Rahman M, Rahman MA, Rahmani AM, Rahmanian V, Ram P, Ramezanzadeh K, Rana J, Ranasinghe P, Rani U, Rao SJ, Rashedi S, Rashidi MM, Rasul A, Ratan ZA, Rawaf DL, Rawaf S, Rawassizadeh R, Razeghinia MS, Redwan EMM, Reitsma MB, Renzaho AMN, Rezaeian M, Riad A, Rikhtegar R, Rodriguez JAB, Rogowski ELB, Ronfani L, Rudd KE, Saddik B, Sadeghi E, Saeed U, Safary A, Safi SZ, Sahebazzamani M, Sahebkar A, Sakhamuri S, Salehi S, Salman M, Samadi Kafil H, Samy AM, Santric-Milicevic MM, Sao Jose BP, Sarkhosh M, Sathian B, Sawhney M, Saya GK, Seidu AA, Seylani A, Shaheen AA, Shaikh MA, Shaker E, Shamshad H, Sharew MM, Sharhani A, Sharifi A, Sharma P, Sheidaei A, Shenoy SM, Shetty JK, Shiferaw DS, Shigematsu M, Shin JI, Shirzad-Aski H, Shivakumar KM, Shivalli S, Shobeiri P, Simegn W, Simpson CR, Singh H, Singh JA, Singh P, Siwal SS, Skryabin VY, Skryabina AA, Soltani-Zangbar MS, Song S, Song Y, Sood P, Sreeramareddy CT, Steiropoulos P, Suleman M, Tabatabaeizadeh SA, Tahamtan A, Taheri M, Taheri Soodejani M, Taki E, Talaat IM, Tampa M, Tandukar S, Tat NY, Tat VY, Tefera YM, Temesgen G, Temsah MH, Tesfaye A, Tesfaye DG, Tessema B, Thapar R, Ticoalu JHV, Tiyuri A, Tleyjeh II, Togtmol M, Tovani-Palone MR, Tufa DG, Ullah I, Upadhyay E, Valadan Tahbaz S, Valdez PR, Valizadeh R, Vardavas C, Vasankari TJ, Vo B, Vu LG, Wagaye B, Waheed Y, Wang Y, Waris A, West TE, Wickramasinghe ND, Xu X, Yaghoubi S, Yahya GAT, Yahyazadeh Jabbari SH, Yon DK, Yonemoto N, Zaman BA, Zandifar A, Zangiabadian M, Zar HJ, Zare I, Zareshahrabadi Z, Zarrintan A, Zastrozhin MS, Zeng W, Zhang M, Zhang ZJ, Zhong C, Zoladl M, Zumla A, Lim SS, Vos T, Naghavi M, Brauer M, Hay SI, Murray CJL. Age-sex differences in the global burden of lower respiratory infections and risk factors, 1990-2019: results from the Global Burden of Disease Study 2019. Lancet Infect Dis 2022; 22:1626-1647. [PMID: 35964613 PMCID: PMC9605880 DOI: 10.1016/s1473-3099(22)00510-2] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 05/18/2022] [Accepted: 07/18/2022] [Indexed: 12/03/2022]
Abstract
BACKGROUND The global burden of lower respiratory infections (LRIs) and corresponding risk factors in children older than 5 years and adults has not been studied as comprehensively as it has been in children younger than 5 years. We assessed the burden and trends of LRIs and risk factors across all age groups by sex, for 204 countries and territories. METHODS In this analysis of data for the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we used clinician-diagnosed pneumonia or bronchiolitis as our case definition for LRIs. We included International Classification of Diseases 9th edition codes 079.6, 466-469, 470.0, 480-482.8, 483.0-483.9, 484.1-484.2, 484.6-484.7, and 487-489 and International Classification of Diseases 10th edition codes A48.1, A70, B97.4-B97.6, J09-J15.8, J16-J16.9, J20-J21.9, J91.0, P23.0-P23.4, and U04-U04.9. We used the Cause of Death Ensemble modelling strategy to analyse 23 109 site-years of vital registration data, 825 site-years of sample vital registration data, 1766 site-years of verbal autopsy data, and 681 site-years of mortality surveillance data. We used DisMod-MR 2.1, a Bayesian meta-regression tool, to analyse age-sex-specific incidence and prevalence data identified via systematic reviews of the literature, population-based survey data, and claims and inpatient data. Additionally, we estimated age-sex-specific LRI mortality that is attributable to the independent effects of 14 risk factors. FINDINGS Globally, in 2019, we estimated that there were 257 million (95% uncertainty interval [UI] 240-275) LRI incident episodes in males and 232 million (217-248) in females. In the same year, LRIs accounted for 1·30 million (95% UI 1·18-1·42) male deaths and 1·20 million (1·07-1·33) female deaths. Age-standardised incidence and mortality rates were 1·17 times (95% UI 1·16-1·18) and 1·31 times (95% UI 1·23-1·41) greater in males than in females in 2019. Between 1990 and 2019, LRI incidence and mortality rates declined at different rates across age groups and an increase in LRI episodes and deaths was estimated among all adult age groups, with males aged 70 years and older having the highest increase in LRI episodes (126·0% [95% UI 121·4-131·1]) and deaths (100·0% [83·4-115·9]). During the same period, LRI episodes and deaths in children younger than 15 years were estimated to have decreased, and the greatest decline was observed for LRI deaths in males younger than 5 years (-70·7% [-77·2 to -61·8]). The leading risk factors for LRI mortality varied across age groups and sex. More than half of global LRI deaths in children younger than 5 years were attributable to child wasting (population attributable fraction [PAF] 53·0% [95% UI 37·7-61·8] in males and 56·4% [40·7-65·1] in females), and more than a quarter of LRI deaths among those aged 5-14 years were attributable to household air pollution (PAF 26·0% [95% UI 16·6-35·5] for males and PAF 25·8% [16·3-35·4] for females). PAFs of male LRI deaths attributed to smoking were 20·4% (95% UI 15·4-25·2) in those aged 15-49 years, 30·5% (24·1-36·9) in those aged 50-69 years, and 21·9% (16·8-27·3) in those aged 70 years and older. PAFs of female LRI deaths attributed to household air pollution were 21·1% (95% UI 14·5-27·9) in those aged 15-49 years and 18·2% (12·5-24·5) in those aged 50-69 years. For females aged 70 years and older, the leading risk factor, ambient particulate matter, was responsible for 11·7% (95% UI 8·2-15·8) of LRI deaths. INTERPRETATION The patterns and progress in reducing the burden of LRIs and key risk factors for mortality varied across age groups and sexes. The progress seen in children younger than 5 years was clearly a result of targeted interventions, such as vaccination and reduction of exposure to risk factors. Similar interventions for other age groups could contribute to the achievement of multiple Sustainable Development Goals targets, including promoting wellbeing at all ages and reducing health inequalities. Interventions, including addressing risk factors such as child wasting, smoking, ambient particulate matter pollution, and household air pollution, would prevent deaths and reduce health disparities. FUNDING Bill & Melinda Gates Foundation.
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Frostad JJ, Nguyen QP, Baumann MM, Blacker BF, Marczak LB, Deshpande A, Wiens KE, LeGrand KE, Johnson KB, Abbasi-Kangevari M, Abdoli A, Abolhassani H, Abreu LG, Abrigo MRM, Abu-Rmeileh NME, Adekanmbi V, Agrawal A, Ahmed MB, Al-Aly Z, Alanezi FM, Alcalde-Rabanal JE, Alipour V, Altirkawi KA, Alvis-Guzman N, Alvis-Zakzuk NJ, Amegah AK, Amini S, Amiri F, Amugsi DA, Ancuceanu R, Andrei CL, Andrei T, Antriyandarti E, Anvari D, Arabloo J, Arab-Zozani M, Athari SS, Ausloos M, Ayano G, Aynalem YA, Azari S, Badiye AD, Baig AA, Balakrishnan K, Banach M, Basu S, Bedi N, Bell ML, Bennett DA, Bhattacharyya K, Bhutta ZA, Bibi S, Bohlouli S, Boufous S, Bragazzi NL, Braithwaite D, Burugina Nagaraja S, Butt ZA, Caetano dos Santos FL, Car J, Cárdenas R, Carvalho F, Castaldelli-Maia JM, Castañeda-Orjuela CA, Cerin E, Chattu SK, Chattu VK, Chaturvedi P, Chaturvedi S, Chen S, Chu DT, Chung SC, Dahlawi SMA, Damiani G, Dandona L, Dandona R, Darwesh AM, Das JK, Dash AP, Dávila-Cervantes CA, De Leo D, De Neve JW, Demissie GD, Denova-Gutiérrez E, Dey S, Dharmaratne SD, Dhimal M, Dhungana GP, Diaz D, Dipeolu IO, Dorostkar F, Doshmangir L, Duraes AR, Edinur HA, Efendi F, El Tantawi M, Eskandarieh S, Fadhil I, Fattahi N, Fauk NK, Fereshtehnejad SM, Folayan MO, Foroutan M, Fukumoto T, Gaidhane AM, Ghafourifard M, Ghashghaee A, Gilani SA, Gill TK, Goulart AC, Goulart BNG, Grada A, Gubari MIM, Guido D, Guo Y, Gupta RD, Gupta R, Gutiérrez RA, Hafezi-Nejad N, Hamadeh RR, Hasaballah AI, Hassanipour S, Hayat K, Heibati B, Heidari-Soureshjani R, Henry NJ, Herteliu C, Hosseinzadeh M, Hsairi M, Hu G, Ibitoye SE, Ilesanmi OS, Ilic IM, Ilic MD, Irvani SSN, Islam SMS, Iwu CCD, Jaafari J, Jakovljevic M, Javaheri T, Jha RP, Ji JS, Jonas JB, Kabir A, Kabir Z, Kalhor R, Kamyari N, Kanchan T, Kapil U, Kapoor N, Kayode GA, Keiyoro PN, Khader YS, Khalid N, Khan EA, Khan M, Khan MN, Khatab K, Khater MM, Khatib MN, Khayamzadeh M, Khubchandani J, Kim GR, Kim YJ, Kimokoti RW, Kisa A, Kisa S, Knibbs LD, Koul PA, Koyanagi A, Krishan K, Kumar GA, Kumar M, Kusuma D, La Vecchia C, Lacey B, Lami FH, Lan Q, Lasrado S, Lauriola P, Lee PH, Lewycka S, Li S, Machado DB, Mahasha PW, Maheri M, Majeed A, Maleki A, Malekzadeh R, Malta DC, Mansouri B, Mansournia MA, Martinez NM, Martini S, Martins-Melo FR, Mayala BK, Mehndiratta MM, Mendoza W, Menezes RG, Mengesha EW, Meretoja TJ, Mestrovic T, Michalek IM, Mirrakhimov EM, Mirzaei M, Mirzaei R, Moazen B, Mohammad Y, Mohammadian-Hafshejani A, Mohammed S, Mokdad AH, Monasta L, Moradi-Lakeh M, Moraga P, Morawska L, Mosapour A, Mouodi S, Mousavi Khaneghah A, Mukhopadhyay S, Munro SB, Murray CJL, Nagarajan AJ, Naghavi M, Nair S, Nangia V, Nascimento BR, Nazari J, Negoi I, Netsere HB, Ngunjiri JW, Nguyen HLT, Noubiap JJ, Oancea B, Ogbo FA, Oh IH, Olagunju AT, Olusanya BO, Olusanya JO, Omar Bali A, Onwujekwe OE, Otstavnov N, Otstavnov SS, Owolabi MO, P A M, Pandey A, Park EC, Park EK, Patel SK, Pham HQ, Pilgrim T, Pirsaheb M, Pokhrel KN, Postma MJ, Quazi Syed Z, Rabiee N, Radfar A, Rahim F, Rahman MHU, Rahman MA, Rahmani AM, Ranabhat CL, Rao SJ, Rasella D, Rastogi P, Rath GK, Rawaf DL, Rawaf S, Rawal L, Rawassizadeh R, Renzaho AMN, Reshmi B, Rezaei N, Rezaei N, Rezapour A, Rickard J, Roever L, Ronfani L, Rostamian M, Rubagotti E, Rwegerera GM, Saddik B, Sadeghi E, Saeedi Moghaddam S, Sagar R, Sahebkar A, Sahiledengle B, Salem MR, Samy AM, Santric-Milicevic MM, Saraswathy SYI, Sathian B, Sathish T, Schwebel DC, Sepanlou SG, Shahabi S, Shaheen AA, Shahid I, Shaikh MA, Shalash AS, Shams-Beyranvand M, Shannawaz M, Sharafi K, Sheikh A, Sheikhbahaei S, Shetty RS, Shiferaw WS, Shigematsu M, Shin JI, Shivakumar KM, Siabani S, Siddiqi TJ, Singh BB, Singh JA, Sintayehu Y, Sorrie MB, Soyiri IN, Spurlock EE, Sreeramareddy CT, Stockfelt L, Sufiyan MB, Suliankatchi Abdulkader R, Tabarés-Seisdedos R, Tabuchi T, Taherkhani A, Temsah MH, Thankappan KR, Tovani-Palone MR, Traini E, Ullah S, Unnikrishnan B, Upadhyay E, Valadan Tahbaz S, Varughese S, Violante FS, Vo B, Vu GT, Waheed Y, Wang YP, Welgan CA, Werdecker A, Yahyazadeh Jabbari SH, Yaya S, Yazdi-Feyzabadi V, Yilma MT, Yonemoto N, Younis MZ, Yousefinezhadi T, Yu C, Yu Y, Zaman SB, Zhang Y, Zhang ZJ, Brauer M, Hay SI, Reiner RC. Mapping development and health effects of cooking with solid fuels in low-income and middle-income countries, 2000-18: a geospatial modelling study. Lancet Glob Health 2022; 10:e1395-e1411. [PMID: 36113526 PMCID: PMC9638039 DOI: 10.1016/s2214-109x(22)00332-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 06/17/2022] [Accepted: 07/21/2022] [Indexed: 01/03/2023]
Abstract
BACKGROUND More than 3 billion people do not have access to clean energy and primarily use solid fuels to cook. Use of solid fuels generates household air pollution, which was associated with more than 2 million deaths in 2019. Although local patterns in cooking vary systematically, subnational trends in use of solid fuels have yet to be comprehensively analysed. We estimated the prevalence of solid-fuel use with high spatial resolution to explore subnational inequalities, assess local progress, and assess the effects on health in low-income and middle-income countries (LMICs) without universal access to clean fuels. METHODS We did a geospatial modelling study to map the prevalence of solid-fuel use for cooking at a 5 km × 5 km resolution in 98 LMICs based on 2·1 million household observations of the primary cooking fuel used from 663 population-based household surveys over the years 2000 to 2018. We use observed temporal patterns to forecast household air pollution in 2030 and to assess the probability of attaining the Sustainable Development Goal (SDG) target indicator for clean cooking. We aligned our estimates of household air pollution to geospatial estimates of ambient air pollution to establish the risk transition occurring in LMICs. Finally, we quantified the effect of residual primary solid-fuel use for cooking on child health by doing a counterfactual risk assessment to estimate the proportion of deaths from lower respiratory tract infections in children younger than 5 years that could be associated with household air pollution. FINDINGS Although primary reliance on solid-fuel use for cooking has declined globally, it remains widespread. 593 million people live in districts where the prevalence of solid-fuel use for cooking exceeds 95%. 66% of people in LMICs live in districts that are not on track to meet the SDG target for universal access to clean energy by 2030. Household air pollution continues to be a major contributor to particulate exposure in LMICs, and rising ambient air pollution is undermining potential gains from reductions in the prevalence of solid-fuel use for cooking in many countries. We estimated that, in 2018, 205 000 (95% uncertainty interval 147 000-257 000) children younger than 5 years died from lower respiratory tract infections that could be attributed to household air pollution. INTERPRETATION Efforts to accelerate the adoption of clean cooking fuels need to be substantially increased and recalibrated to account for subnational inequalities, because there are substantial opportunities to improve air quality and avert child mortality associated with household air pollution. FUNDING Bill & Melinda Gates Foundation.
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Ghozikali MG, Ansarin K, Naddafi K, Nabizadeh R, Yaghmaeian K, Jaafari J, Dehghanzadeh R, Atafar Z, Faraji M, Mohammadi A, Goudarzi G, Yunesian M. Status of TNF-α and IL-6 as pro-inflammatory cytokines in exhaled breath condensate of late adolescents with asthma and healthy in the dust storm and non-dust storm conditions. Sci Total Environ 2022; 838:155536. [PMID: 35489504 DOI: 10.1016/j.scitotenv.2022.155536] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [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: 01/07/2022] [Revised: 04/20/2022] [Accepted: 04/22/2022] [Indexed: 06/14/2023]
Abstract
Exposure to airborne particulate matter (PM) can be considered as an important risk factor for human health. Some cytokines have been recognized as the biomarkers of exposure to air pollution. Experimental studies indicate that PM exposure could be associated with inflammation. Thus, the purpose of this study was to evaluate whether the exposure to air PM is associated with biomarkers of inflammation. The specific aim of this study was to determine the correlation between airborne PM levels and IL-6 and TNF-α as airway inflammation biomarkers among two groups of late adolescents in northwest of Iran. This study included 46 subjects, comprising 23 asthmatic subjects and 23 non-asthmatic persons. Environmental PM (PM10, PM2.5 and PM1) levels were measured in dust storm and non-dust storm days during both cold and warm seasons. Following the sampling of PM, Two pro-inflammatory cytokines of IL-6 and TNF-α in exhaled breath condensate (EBC) were also determined in the EBC samples via commercial ELISA kits. Daily mean ambient air PM10, PM2.5 and PM1 concentrations during the dust storm days was 221.79, 93.13 and 25.52 μg m-3 and in non-dusty days 48.37, 18.54 and 6.1 μg m-3, respectively. Biomarkers levels were significantly (p < 0.001) higher in asthmatic students compared to the non-asthmatic subjects. EBC cytokines levels were increased in dust storm days compared to the non-dusty days (p < 0.001) and were positively correlated with different size of ambient PM concentration. Dust storm conditions can increase the pro-inflammatory cytokines and cause adverse effects on pulmonary health and lung tissue damage.
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Affiliation(s)
- Mohammad Ghanbari Ghozikali
- Health and Environment Research Center, Tabriz university of Medical Sciences, Tabriz, Iran; Tuberculosis and Lung Disease Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Khalil Ansarin
- Tuberculosis and Lung Disease Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Kazem Naddafi
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran; Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran.
| | - Ramin Nabizadeh
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran; Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran.
| | - Kamyar Yaghmaeian
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Jalil Jaafari
- School of Health, Guilan University of Medical Sciences, Rasht, Iran
| | - Reza Dehghanzadeh
- Health and Environment Research Center, Tabriz university of Medical Sciences, Tabriz, Iran
| | - Zahra Atafar
- Research Center for Environmental Determinants of Health (RCEDH), Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Maryam Faraji
- Environmental Health Engineering Research Center, Kerman University of Medical Sciences, Kerman, Iran
| | - Aliakbar Mohammadi
- Department of Environmental Health Engineering, Neyshabur University of Medical Sciences, Neyshabur, Iran
| | - Gholamreza Goudarzi
- Department of Environmental Health Engineering, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
| | - Masud Yunesian
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran; Department of Research Methodology and Data Analysis, Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran.
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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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Ledesma JR, Ma J, Vongpradith A, Maddison ER, Novotney A, Biehl MH, LeGrand KE, Ross JM, Jahagirdar D, Bryazka D, Feldman R, Abolhassani H, Abosetugn AE, Abu-Gharbieh E, Adebayo OM, Adnani QES, Afzal S, Ahinkorah BO, Ahmad SA, Ahmadi S, Ahmed Rashid T, Ahmed Salih Y, Aklilu A, Akunna CJ, Al Hamad H, Alahdab F, Alemayehu Y, Alene KA, Ali BA, Ali L, Alipour V, Alizade H, Al-Raddadi RM, Alvis-Guzman N, Amini S, Amit AML, Anderson JA, Androudi S, Antonio CAT, Antony CM, Anwer R, Arabloo J, Arja A, Asemahagn MA, Atre SR, Azhar GS, B DB, Babar ZUD, Baig AA, Banach M, Barqawi HJ, Barra F, Barrow A, Basu S, Belgaumi UI, Bhagavathula AS, Bhardwaj N, Bhardwaj P, Bhattacharjee NV, Bhattacharyya K, Bijani A, Bikbov B, Boloor A, Briko NI, Buonsenso D, Burugina Nagaraja S, Butt ZA, Carter A, Carvalho F, Charan J, Chatterjee S, Chattu SK, Chattu VK, Christopher DJ, Chu DT, Claassens MM, Dadras O, Dagnew AB, Dai X, Dandona L, Dandona R, Daneshpajouhnejad P, Darwesh AM, Dhamnetiya D, Dianatinasab M, Diaz D, Doan LP, Eftekharzadeh S, Elhadi M, Emami A, Enany S, Faraon EJA, Farzadfar F, Fernandes E, Ferro Desideri L, Filip I, Fischer F, Foroutan M, Frank TD, Garcia-Basteiro AL, Garcia-Calavaro C, Garg T, Geberemariyam BS, Ghadiri K, Ghashghaee A, Golechha M, Goodridge A, Gupta B, Gupta S, Gupta VB, Gupta VK, Haider MR, Hamidi S, Hanif A, Haque S, Harapan H, Hargono A, Hasaballah AI, Hashi A, Hassan S, Hassankhani H, Hayat K, Hezam K, Holla R, Hosseinzadeh M, Hostiuc M, Househ M, Hussain R, Ibitoye SE, Ilic IM, Ilic MD, Irvani SSN, Ismail NE, Itumalla R, Jaafari J, Jacobsen KH, Jain V, Javanmardi F, Jayapal SK, Jayaram S, Jha RP, Jonas JB, Joseph N, Joukar F, Kabir Z, Kamath A, Kanchan T, Kandel H, Katoto PDMC, Kayode GA, Kendrick PJ, Kerbo AA, Khajuria H, Khalilov R, Khatab K, Khoja AT, Khubchandani J, Kim MS, Kim YJ, Kisa A, Kisa S, Kosen S, Koul PA, Koulmane Laxminarayana SL, Koyanagi A, Krishan K, Kucuk Bicer B, Kumar A, Kumar GA, Kumar N, Kumar N, Kwarteng A, Lak HM, Lal DK, Landires I, Lasrado S, Lee SWH, Lee WC, Lin C, Liu X, Lopukhov PD, Lozano R, Machado DB, Madhava Kunjathur S, Madi D, Mahajan PB, Majeed A, Malik AA, Martins-Melo FR, Mehta S, Memish ZA, Mendoza W, Menezes RG, Merie HE, Mersha AG, Mesregah MK, Mestrovic T, Mheidly NM, Misra S, Mithra P, Moghadaszadeh M, Mohammadi M, Mohammadian-Hafshejani A, Mohammed S, Molokhia M, Moni MA, Montasir AA, Moore CE, Nagarajan AJ, Nair S, Nair S, Naqvi AA, Narasimha Swamy S, Nayak BP, Nazari J, Neupane Kandel S, Nguyen TH, Nixon MR, Nnaji CA, Ntsekhe M, Nuñez-Samudio V, Oancea B, Odukoya OO, Olagunju AT, Oren E, P A M, Parthasarathi R, Pashazadeh Kan F, Pattanshetty SM, Paudel R, Paul P, Pawar S, Pepito VCF, Perico N, Pirestani M, Polibin RV, Postma MJ, Pourshams A, Prashant A, Pribadi DRA, Radfar A, Rafiei A, Rahim F, Rahimi-Movaghar V, Rahman M, Rahman M, Rahmani AM, Ranasinghe P, Rao CR, Rawaf DL, Rawaf S, Reitsma MB, Remuzzi G, Renzaho AMN, Reta MA, Rezaei N, Rezahosseini O, Rezai MS, Rezapour A, Roshandel G, Roshchin DO, Sabour S, Saif-Ur-Rahman KM, Salam N, Samadi Kafil H, Samaei M, Samy AM, Saroshe S, Sartorius B, Sathian B, Sawyer SM, Senthilkumaran S, Seylani A, Shafaat O, Shaikh MA, Sharafi K, Shetty RS, Shigematsu M, Shin JI, Silva JP, Singh JK, Sinha S, Skryabin VY, Skryabina AA, Spurlock EE, Sreeramareddy CT, Steiropoulos P, Sufiyan MB, Tabuchi T, Tadesse EG, Tamir Z, Tarkang EE, Tekalegn Y, Tesfay FH, Tessema B, Thapar R, Tleyjeh II, Tobe-Gai R, Tran BX, Tsegaye B, Tsegaye GW, Ullah A, Umeokonkwo CD, Valadan Tahbaz S, Vo B, Vu GT, Waheed Y, Walters MK, Whisnant JL, Woldekidan MA, Wubishet BL, Yahyazadeh Jabbari SH, Yazie TSY, Yeshaw Y, Yi S, Yiğit V, Yonemoto N, Yu C, Yunusa I, Zastrozhin MS, Zastrozhina A, Zhang ZJ, Zumla A, Mokdad AH, Salomon JA, Reiner Jr RC, Lim SS, Naghavi M, Vos T, Hay SI, Murray CJL, Kyu HH. Global, regional, and national sex differences in the global burden of tuberculosis by HIV status, 1990-2019: results from the Global Burden of Disease Study 2019. Lancet Infect Dis 2022; 22:222-241. [PMID: 34563275 PMCID: PMC8799634 DOI: 10.1016/s1473-3099(21)00449-7] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 05/21/2021] [Accepted: 07/15/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Tuberculosis is a major contributor to the global burden of disease, causing more than a million deaths annually. Given an emphasis on equity in access to diagnosis and treatment of tuberculosis in global health targets, evaluations of differences in tuberculosis burden by sex are crucial. We aimed to assess the levels and trends of the global burden of tuberculosis, with an emphasis on investigating differences in sex by HIV status for 204 countries and territories from 1990 to 2019. METHODS We used a Bayesian hierarchical Cause of Death Ensemble model (CODEm) platform to analyse 21 505 site-years of vital registration data, 705 site-years of verbal autopsy data, 825 site-years of sample-based vital registration data, and 680 site-years of mortality surveillance data to estimate mortality due to tuberculosis among HIV-negative individuals. We used a population attributable fraction approach to estimate mortality related to HIV and tuberculosis coinfection. A compartmental meta-regression tool (DisMod-MR 2.1) was then used to synthesise all available data sources, including prevalence surveys, annual case notifications, population-based tuberculin surveys, and tuberculosis cause-specific mortality, to produce estimates of incidence, prevalence, and mortality that were internally consistent. We further estimated the fraction of tuberculosis mortality that is attributable to independent effects of risk factors, including smoking, alcohol use, and diabetes, for HIV-negative individuals. For individuals with HIV and tuberculosis coinfection, we assessed mortality attributable to HIV risk factors including unsafe sex, intimate partner violence (only estimated among females), and injection drug use. We present 95% uncertainty intervals for all estimates. FINDINGS Globally, in 2019, among HIV-negative individuals, there were 1·18 million (95% uncertainty interval 1·08-1·29) deaths due to tuberculosis and 8·50 million (7·45-9·73) incident cases of tuberculosis. Among HIV-positive individuals, there were 217 000 (153 000-279 000) deaths due to tuberculosis and 1·15 million (1·01-1·32) incident cases in 2019. More deaths and incident cases occurred in males than in females among HIV-negative individuals globally in 2019, with 342 000 (234 000-425 000) more deaths and 1·01 million (0·82-1·23) more incident cases in males than in females. Among HIV-positive individuals, 6250 (1820-11 400) more deaths and 81 100 (63 300-100 000) more incident cases occurred among females than among males in 2019. Age-standardised mortality rates among HIV-negative males were more than two times greater in 105 countries and age-standardised incidence rates were more than 1·5 times greater in 74 countries than among HIV-negative females in 2019. The fraction of global tuberculosis deaths among HIV-negative individuals attributable to alcohol use, smoking, and diabetes was 4·27 (3·69-5·02), 6·17 (5·48-7·02), and 1·17 (1·07-1·28) times higher, respectively, among males than among females in 2019. Among individuals with HIV and tuberculosis coinfection, the fraction of mortality attributable to injection drug use was 2·23 (2·03-2·44) times greater among males than females, whereas the fraction due to unsafe sex was 1·06 (1·05-1·08) times greater among females than males. INTERPRETATION As countries refine national tuberculosis programmes and strategies to end the tuberculosis epidemic, the excess burden experienced by males is important. Interventions are needed to actively communicate, especially to men, the importance of early diagnosis and treatment. These interventions should occur in parallel with efforts to minimise excess HIV burden among women in the highest HIV burden countries that are contributing to excess HIV and tuberculosis coinfection burden for females. Placing a focus on tuberculosis burden among HIV-negative males and HIV and tuberculosis coinfection among females might help to diminish the overall burden of tuberculosis. This strategy will be crucial in reaching both equity and burden targets outlined by global health milestones. FUNDING Bill & Melinda Gates Foundation.
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Paulson KR, Kamath AM, Alam T, Bienhoff K, Abady GG, Abbas J, Abbasi-Kangevari M, Abbastabar H, Abd-Allah F, Abd-Elsalam SM, Abdoli A, Abedi A, Abolhassani H, Abreu LG, Abu-Gharbieh E, Abu-Rmeileh NME, Abushouk AI, Adamu AL, Adebayo OM, Adegbosin AE, Adekanmbi V, Adetokunboh OO, Adeyinka DA, Adsuar JC, Afshari K, Aghaali M, Agudelo-Botero M, Ahinkorah BO, Ahmad T, Ahmadi K, Ahmed MB, Aji B, Akalu Y, Akinyemi OO, Aklilu A, Al-Aly Z, Alam K, Alanezi FM, Alanzi TM, Alcalde-Rabanal JE, Al-Eyadhy A, Ali T, Alicandro G, Alif SM, Alipour V, Alizade H, Aljunid SM, Almasi-Hashiani A, Almasri NA, Al-Mekhlafi HM, Alonso J, Al-Raddadi RM, Altirkawi KA, Alumran AK, Alvis-Guzman N, Alvis-Zakzuk NJ, Ameyaw EK, Amini S, Amini-Rarani M, Amit AML, Amugsi DA, Ancuceanu R, Anderlini D, Andrei CL, Ansari F, Ansari-Moghaddam A, Antonio CAT, Antriyandarti E, Anvari D, Anwer R, Aqeel M, Arabloo J, Arab-Zozani M, Aripov T, Ärnlöv J, Artanti KD, Arzani A, Asaad M, Asadi-Aliabadi M, Asadi-Pooya AA, Asghari Jafarabadi M, Athari SS, Athari SM, Atnafu DD, Atreya A, Atteraya MS, Ausloos M, Awan AT, Ayala Quintanilla BP, Ayano G, Ayanore MA, Aynalem YA, Azari S, Azarian G, Azene ZN, B DB, Babaee E, Badiye AD, Baig AA, Banach M, Banik PC, Barker-Collo SL, Barqawi HJ, Bassat Q, Basu S, Baune BT, Bayati M, Bedi N, Beghi E, Beghi M, Bell ML, Bendak S, Bennett DA, Bensenor IM, Berhe K, Berman AE, Bezabih YM, Bhagavathula AS, Bhandari D, Bhardwaj N, Bhardwaj P, Bhattacharyya K, Bhattarai S, Bhutta ZA, Bikbov B, Biondi A, Birihane BM, Biswas RK, Bohlouli S, Bragazzi NL, Breusov AV, Brunoni AR, Burkart K, Burugina Nagaraja S, Busse R, Butt ZA, Caetano dos Santos FL, Cahuana-Hurtado L, Camargos P, Cámera LA, Cárdenas R, Carreras G, Carrero JJ, Carvalho F, Castaldelli-Maia JM, Castañeda-Orjuela CA, Castelpietra G, Cerin E, Chang JC, Chanie WF, Charan J, Chatterjee S, Chattu SK, Chattu VK, Chaturvedi S, Chen S, Cho DY, Choi JYJ, Chu DT, Ciobanu LG, Cirillo M, Conde J, Costa VM, Couto RAS, Dachew BA, Dahlawi SMA, Dai H, Dai X, Dandona L, Dandona R, Daneshpajouhnejad P, Darmstadt GL, Das JK, Dávila-Cervantes CA, Davis AC, Davletov K, De la Hoz FP, De Leo D, Deeba F, Denova-Gutiérrez E, Dervenis N, Desalew A, Deuba K, Dey S, Dharmaratne SD, Dhingra S, Dhungana GP, Dias da Silva D, Diaz D, Dorostkar F, Doshmangir L, Dubljanin E, Duraes AR, Eagan AW, Edinur HA, Efendi F, Eftekharzadeh S, El Sayed I, El Tantawi M, Elbarazi I, Elgendy IY, El-Jaafary SI, Emami A, Enany S, Eyawo O, Ezzikouri S, Faris PS, Farzadfar F, Fattahi N, Fauk NK, Fazlzadeh M, Feigin VL, Ferede TY, Fereshtehnejad SM, Fernandes E, Ferrara P, Filip I, Fischer F, Fisher JL, Foigt NA, Folayan MO, Foroutan M, Franklin RC, Freitas M, Friedman SD, Fukumoto T, Gad MM, Gaidhane AM, Gaidhane S, Gaihre S, Gallus S, Garcia-Basteiro AL, Garcia-Gordillo MA, Gardner WM, Gaspar Fonseca M, Gebremedhin KB, Getacher L, Ghashghaee A, Gholamian A, Gilani SA, Gill TK, Giussani G, Gnedovskaya EV, Godinho MA, Goel A, Golechha M, Gona PN, Gopalani SV, Goudarzi H, Grivna M, Gugnani HC, Guido D, Guimarães RA, Gupta RD, Gupta R, Hafezi-Nejad N, Haider MR, Haj-Mirzaian A, Hamidi S, Hanif A, Hankey GJ, Hargono A, Hasaballah AI, Hasan MM, Hasan SS, Hassan A, Hassanipour S, Hassankhani H, Havmoeller RJ, Hayat K, Heidari-Soureshjani R, Henry NJ, Herteliu C, Hole MK, Holla R, Hossain N, Hosseini M, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Huang J, Humayun A, Hwang BF, Iavicoli I, Ibitoye SE, Ikuta KS, Ilesanmi OS, Ilic IM, Ilic MD, Inamdar S, Inbaraj LR, Iqbal K, Iqbal U, Islam MM, Islam SMS, Iso H, Iwagami M, Iwu CCD, Jaafari J, Jacobsen KH, Jagnoor J, Jain V, Janodia MD, Javaheri T, Javanmardi F, Jayaram S, Jayatilleke AU, Jenabi E, Jha RP, Ji JS, John O, Jonas JB, Joo T, Joseph N, Joukar F, Jozwiak JJ, Jürisson M, Kabir A, Kabir Z, Kalankesh LR, Kamyari N, Kanchan T, Kapoor N, Karami Matin B, Karch A, Karimi SE, Kassahun G, Kayode GA, Kazemi Karyani A, Kemmer L, Khalid N, Khalilov R, Khammarnia M, Khan EA, Khan G, Khan M, Khan MN, Khang YH, Khatab K, Khater AM, Khater MM, Khayamzadeh M, Khosravi A, Kim D, Kim YE, Kim YJ, Kimokoti RW, Kisa A, Kisa S, Kissoon N, Kopec JA, Kosen S, Koul PA, Koulmane Laxminarayana SL, Koyanagi A, Krishan K, Krishnamoorthy V, Kuate Defo B, Kucuk Bicer B, Kulkarni V, Kumar GA, Kumar M, Kumar N, Kurmi OP, Kusuma D, La Vecchia C, Lacey B, Lalloo R, Lami FH, Landires I, Larsson AO, Lasrado S, Lassi ZS, Lauriola P, Lee PH, Lee SWH, Lee YH, Leigh J, Leonardi M, Lewycka S, Li B, Li S, Liang J, Lim LL, Limenih MA, Lin RT, Liu X, Lodha R, Lopez AD, Lozano R, Lugo A, Lunevicius R, Mackay MT, Madhava Kunjathur S, Magnani FG, Mahadeshwara Prasad DR, Maheri M, Mahmoudi M, Majeed A, Maled V, Maleki A, Maleki S, Malekzadeh R, Malik AA, Malta DC, Mamun AA, Mansouri B, Mansournia MA, Martinez G, Martini S, Martins-Melo FR, Masoumi SZ, Maulik PK, McAlinden C, McGrath JJ, Medina-Solís CE, Mehrabi Nasab E, Mejia-Rodriguez F, Memish ZA, Mendoza W, Menezes RG, Mengesha EW, Mensah GA, Meretoja A, Meretoja TJ, Mersha AM, Mestrovic T, Miazgowski B, Miazgowski T, Michalek IM, Miller TR, Mini GK, Miri M, Mirica A, Mirrakhimov EM, Mirzaei H, Mirzaei M, Moazen B, Moghadaszadeh M, Mohajer B, Mohamad O, Mohammad Y, Mohammadi SM, Mohammadian-Hafshejani A, Mohammed S, Mokdad AH, Molokhia M, Monasta L, Mondello S, Moni MA, Moore CE, Moradi G, Moradi M, Moradzadeh R, Moraga P, Morawska L, Morrison SD, Mosser JF, Mousavi Khaneghah A, Mustafa G, Naderi M, Nagarajan AJ, Nagaraju SP, Naghavi M, Naghshtabrizi B, Naimzada MD, Nangia V, Narasimha Swamy S, Nascimento BR, Naveed M, Nazari J, Ndejjo R, Negoi I, Negoi RI, Nena E, Nepal S, Netsere HB, Nguefack-Tsague G, Ngunjiri JW, Nguyen CTY, Nguyen CT, Nguyen HLT, Nigatu YT, Nigussie SN, Nixon MR, Nnaji CA, Nomura S, Noor NM, Noubiap JJ, Nuñez-Samudio V, Nwatah VE, Oancea B, Odukoya OO, Ogbo FA, Olusanya BO, Olusanya JO, Omar Bali A, Onwujekwe OE, Ortiz A, Otoiu A, Otstavnov N, Otstavnov SS, Owolabi MO, P A M, Padubidri JR, Pakhale S, Pakshir K, Pal PK, Palladino R, Pana A, Panda-Jonas S, Pandey A, Pandey A, Pandi-Perumal SR, Pangaribuan HU, Pardo-Montaño AM, Park EK, Patel SK, Patton GC, Pawar S, Pazoki Toroudi H, Peden AE, Pepito VCF, Peprah EK, Pereira J, Pérez-Gómez J, Perico N, Pesudovs K, Pilgrim T, Pinheiro M, Piradov MA, Pirsaheb M, Platts-Mills JA, Pokhrel KN, Postma MJ, Pourjafar H, Prada SI, Prakash S, Pupillo E, Quazi Syed Z, Rabiee N, Radfar A, Rafiee A, Rafiei A, Raggi A, Rahimzadeh S, Rahman MHU, Rahmani AM, Ramezanzadeh K, Rana J, Ranabhat CL, Rao SJ, Rasella D, Rastogi P, Rathi P, Rawaf DL, Rawaf S, Rawasia WF, Rawassizadeh R, Reiner Jr RC, Remuzzi G, Renzaho AMN, Reshmi B, Resnikoff S, Rezaei N, Rezaei N, Rezapour A, Riahi SM, Ribeiro D, Rickard J, Roever L, Ronfani L, Rothenbacher D, Rubagotti E, Rumisha SF, Ryan PM, Saddik B, Sadeghi E, Saeedi Moghaddam S, Sagar R, Sahebkar A, Salahshoor MR, Salehi S, Salem MR, Salimzadeh H, Salomon JA, Samodra YL, Samy AM, Sanabria J, Santric-Milicevic MM, Saraswathy SYI, Sarker AR, Sarrafzadegan N, Sarveazad A, Sathian B, Sathish T, Sattin D, Saxena S, Saya GK, Saylan M, Schiavolin S, Schlaich MP, Schwebel DC, Schwendicke F, Senthilkumaran S, Sepanlou SG, Serván-Mori E, Sha F, Shafaat O, Shahabi S, Shahbaz M, Shaheen AA, Shahid I, Shaikh MA, Shakiba S, Shalash AS, Shams-Beyranvand M, Shannawaz M, Sharafi K, Sheikh A, Sheikhbahaei S, Shiferaw WS, Shigematsu M, Shin JI, Shiri R, Shiue I, Shuval K, Siddiqi TJ, Sidemo NB, Sigfusdottir ID, Sigurvinsdottir R, Silva JP, Silverberg JIS, Simonetti B, Singh BB, Singh JA, Singhal D, Sinha DN, Skiadaresi E, Skryabin VY, Skryabina AA, Sleet DA, Sobaih BH, Sobhiyeh MR, Soltani S, Soriano JB, Spurlock EE, Sreeramareddy CT, Steiropoulos P, Stokes MA, Stortecky S, Sufiyan MB, Suliankatchi Abdulkader R, Sulo G, Swope CB, Sykes BL, Szeto MD, Szócska M, Tabarés-Seisdedos R, Tadesse EG, Taherkhani A, Tamiru AT, Tareque MI, Tehrani-Banihashemi A, Temsah MH, Tesfay FH, Tessema GA, Tessema ZT, Thankappan KR, Thapar R, Tolani MA, Tovani-Palone MR, Traini E, Tran BX, Tripathy JP, Tsapparellas G, Tsatsakis A, Tudor Car L, Uddin R, Ullah A, Umeokonkwo CD, Unim B, Unnikrishnan B, Upadhyay E, Usman MS, Vacante M, Vaezi M, Valadan Tahbaz S, Valdez PR, Vasankari TJ, Venketasubramanian N, Verma M, Violante FS, Vlassov V, Vo B, Vu GT, Wado YD, Waheed Y, Wamai RG, Wang Y, Wang Y, Wang YP, Ward P, Werdecker A, Westerman R, Wickramasinghe ND, Wilner LB, Wiysonge CS, Wu AM, Wu C, Xie Y, Yahyazadeh Jabbari SH, Yamagishi K, Yandrapalli S, Yaya S, Yazdi-Feyzabadi V, Yip P, Yonemoto N, Yoon SJ, Younis MZ, Yousefi Z, Yousefinezhadi T, Yu C, Yusuf SS, Zaidi SS, Zaman SB, Zamani M, Zamanian M, Zastrozhin MS, Zastrozhina A, Zhang Y, Zhang ZJ, Zhao XJG, Ziapour A, Hay SI, Murray CJL, Wang H, Kassebaum NJ. Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burden of Disease Study 2019. Lancet 2021; 398:870-905. [PMID: 34416195 PMCID: PMC8429803 DOI: 10.1016/s0140-6736(21)01207-1] [Citation(s) in RCA: 183] [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: 01/11/2021] [Revised: 05/25/2021] [Accepted: 05/25/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Sustainable Development Goal 3.2 has targeted elimination of preventable child mortality, reduction of neonatal death to less than 12 per 1000 livebirths, and reduction of death of children younger than 5 years to less than 25 per 1000 livebirths, for each country by 2030. To understand current rates, recent trends, and potential trajectories of child mortality for the next decade, we present the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 findings for all-cause mortality and cause-specific mortality in children younger than 5 years of age, with multiple scenarios for child mortality in 2030 that include the consideration of potential effects of COVID-19, and a novel framework for quantifying optimal child survival. METHODS We completed all-cause mortality and cause-specific mortality analyses from 204 countries and territories for detailed age groups separately, with aggregated mortality probabilities per 1000 livebirths computed for neonatal mortality rate (NMR) and under-5 mortality rate (U5MR). Scenarios for 2030 represent different potential trajectories, notably including potential effects of the COVID-19 pandemic and the potential impact of improvements preferentially targeting neonatal survival. Optimal child survival metrics were developed by age, sex, and cause of death across all GBD location-years. The first metric is a global optimum and is based on the lowest observed mortality, and the second is a survival potential frontier that is based on stochastic frontier analysis of observed mortality and Healthcare Access and Quality Index. FINDINGS Global U5MR decreased from 71·2 deaths per 1000 livebirths (95% uncertainty interval [UI] 68·3-74·0) in 2000 to 37·1 (33·2-41·7) in 2019 while global NMR correspondingly declined more slowly from 28·0 deaths per 1000 live births (26·8-29·5) in 2000 to 17·9 (16·3-19·8) in 2019. In 2019, 136 (67%) of 204 countries had a U5MR at or below the SDG 3.2 threshold and 133 (65%) had an NMR at or below the SDG 3.2 threshold, and the reference scenario suggests that by 2030, 154 (75%) of all countries could meet the U5MR targets, and 139 (68%) could meet the NMR targets. Deaths of children younger than 5 years totalled 9·65 million (95% UI 9·05-10·30) in 2000 and 5·05 million (4·27-6·02) in 2019, with the neonatal fraction of these deaths increasing from 39% (3·76 million [95% UI 3·53-4·02]) in 2000 to 48% (2·42 million; 2·06-2·86) in 2019. NMR and U5MR were generally higher in males than in females, although there was no statistically significant difference at the global level. Neonatal disorders remained the leading cause of death in children younger than 5 years in 2019, followed by lower respiratory infections, diarrhoeal diseases, congenital birth defects, and malaria. The global optimum analysis suggests NMR could be reduced to as low as 0·80 (95% UI 0·71-0·86) deaths per 1000 livebirths and U5MR to 1·44 (95% UI 1·27-1·58) deaths per 1000 livebirths, and in 2019, there were as many as 1·87 million (95% UI 1·35-2·58; 37% [95% UI 32-43]) of 5·05 million more deaths of children younger than 5 years than the survival potential frontier. INTERPRETATION Global child mortality declined by almost half between 2000 and 2019, but progress remains slower in neonates and 65 (32%) of 204 countries, mostly in sub-Saharan Africa and south Asia, are not on track to meet either SDG 3.2 target by 2030. Focused improvements in perinatal and newborn care, continued and expanded delivery of essential interventions such as vaccination and infection prevention, an enhanced focus on equity, continued focus on poverty reduction and education, and investment in strengthening health systems across the development spectrum have the potential to substantially improve U5MR. Given the widespread effects of COVID-19, considerable effort will be required to maintain and accelerate progress. FUNDING Bill & Melinda Gates Foundation.
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Kendrick PJ, Reitsma MB, Abbasi-Kangevari M, Abdoli A, Abdollahi M, Abedi A, Abhilash ES, Aboyans V, Adebayo OM, Advani SM, Ahinkorah BO, Ahmad S, Ahmadi K, Ahmed H, Aji B, Akalu Y, Akunna CJ, Alahdab F, Al-Aly Z, Alanezi FM, Alanzi TM, Alhabib KF, Ali T, Alif SM, Alipour V, Aljunid SM, Alomari MA, Amin TT, Amini S, Amu H, Ancuceanu R, Anderson JA, Andrei CL, Andrei T, Ansari-Moghaddam A, Antony B, Anvari D, Arabloo J, Arian ND, Arora M, Artanti KD, Asmare WN, Atnafu DD, Ausloos M, Awan AT, Ayano G, Aynalem GL, Azari S, B DB, Badiye AD, Baig AA, Banach M, Banerjee SK, Barker-Collo SL, Bärnighausen TW, Barqawi HJ, Basu S, Bayati M, Bazargan-Hejazi S, Bekuma TT, Bennett DA, Bensenor IM, Benzian H, Benziger CP, Berman AE, Bhagavathula AS, Bhala N, Bhardwaj N, Bhardwaj P, Bhattacharyya K, Bibi S, Bijani A, Biondi A, Braithwaite D, Brenner H, Brunoni AR, Burkart K, Burugina Nagaraja S, Butt ZA, Caetano dos Santos FL, Car J, Carreras G, Castaldelli-Maia JM, Cattaruzza MSS, Chang JC, Chaturvedi P, Chen S, Chido-Amajuoyi OG, Chu DT, Chung SC, Ciobanu LG, Costa VM, Couto RAS, Dagnew B, Dai X, Damasceno AAM, Damiani G, Dandona L, Dandona R, Daneshpajouhnejad P, Darega Gela J, Derbew Molla M, Desta AA, Dharmaratne SD, Dhimal M, Eagan AW, Ebrahimi Kalan M, Edvardsson K, Effiong A, El Tantawi M, Elbarazi I, Esmaeilnejad S, Fadhil I, Faraon EJA, Farwati M, Farzadfar F, Fazlzadeh M, Feigin VL, Feldman R, Filip I, Filippidis F, Fischer F, Flor LS, Foigt NA, Folayan MO, Foroutan M, Gad MM, Gallus S, Geberemariyam BS, Gebregiorgis BG, Getacher L, Getachew Obsa A, Ghafourifard M, Ghanei Gheshlagh R, Ghashghaee A, Ghith N, Gil GF, Gill PS, Ginawi IA, Goharinezhad S, Golechha M, Gopalani SV, Gorini G, Grivna M, Guha A, Guimarães RA, Guo Y, Gupta RD, Gupta R, Gupta T, Gupta V, Hafezi-Nejad N, Haider MR, Hamadeh RR, Hankey GJ, Hargono A, Hay SI, Heidari G, Herteliu C, Hezam K, Hird TR, Holla R, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Hsiao T, Huang J, Ibeneme CU, Ibitoye SE, Ilic IM, Ilic MD, Inbaraj LR, Irvani SSN, Islam JY, Islam RM, Islam SMS, Islami F, Iso H, Itumalla R, Jaafari J, Jain V, Jakovljevic M, Jang SI, Jayaram S, Jeemon P, Jha RP, Jonas JB, Jürisson M, Kabir A, Kabir Z, Kalankesh LR, Kanchan T, Kandel H, Kapoor N, Karch A, Karimi SE, Kebede KM, Kelkay B, Kennedy RD, Khader YS, Khan EA, Khayamzadeh M, Kim GR, 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, Landires I, Lasrado S, Lauriola P, Lee DW, Lee YH, Leung J, Li S, Lin H, Liu W, Lugo A, Madhava Kunjathur S, Majeed A, Maleki A, Malekzadeh R, Malta DC, Mamun AA, Manjunatha N, Mansouri B, Mansournia MA, Martini S, Mathur MR, Mathur P, Mazidi M, McKee M, Medina-Solís CE, Mehata S, Mendoza W, Menezes RG, Miazgowski B, Michalek IM, Miller TR, Mini GK, Mirica A, Mirrakhimov EM, Mirzaei H, Misra S, Mohammad Y, Mohammadian-Hafshejani A, Mohammed S, Mokdad AH, Molokhia M, Monasta L, Moni MA, Moradzadeh R, Morrison SD, Mossie TB, Mubarik S, Mullany EC, Murray CJL, Nagaraju SP, Naghavi M, Naik N, Nalini M, Nangia V, Naqvi AA, Narasimha Swamy S, Naveed M, Nazari J, Nduaguba SO, Negoi RI, Neupane Kandel S, Nguyen HLT, Nigatu YT, Nixon MR, Nnaji CA, Noubiap JJ, Nowak C, Nuñez-Samudio V, Ogbo FA, Oguntade AS, Oh IH, Olagunju AT, Owolabi MO, P A M, Pakshir K, Pana A, Panagiotakos D, Panda-Jonas S, Pandey A, Parekh U, Park EC, Park EK, Pashazadeh Kan F, Pathak M, Pawar S, Pestell RG, Pham HQ, Pinheiro M, Pokhrel KN, Pourshams A, Prashant A, Radfar A, Rahimi-Movaghar V, Rahman MHU, Rahman MA, Rahmani AM, Ram P, Rana J, Ranabhat CL, Rathi P, Rawaf DL, Rawaf S, Rawassizadeh R, Renzaho AMN, Rezapour A, Riaz MA, Roever L, Ronfani L, Roshandel G, Roy A, Roy B, Saddik B, Sahebkar A, Salehi S, Salimzadeh H, Samy AM, Sanabria J, Santric-Milicevic MM, Sao Jose BP, Sathian B, Sawhney M, Saya GK, Schwendicke F, Seidu AA, Senthil Kumar N, Sepanlou SG, Shafaat O, Shah SM, Shaikh MA, 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 JP, Singh A, Singh JA, Singh V, Sinha DN, Skryabin VY, Skryabina AA, Soroush A, Soyiri IN, Sreeramareddy CT, Stein DJ, Steiropoulos P, Stortecky S, Straif K, Suliankatchi Abdulkader R, Sulo G, Sundström J, Tabuchi T, Tadesse EG, Tamiru AT, Tareke M, Tareque MI, Tarigan IU, Thakur B, Thankappan KR, Thapar R, Tolani MA, Tovani-Palone MR, Tran BX, Tripathy JP, Tsegaye GW, Tymeson HD, Ullah S, Unim B, Updike RL, Uthman OA, Vacante M, Vardavas C, Venketasubramanian N, Verma M, Vidale S, Vo B, Vu GT, Waheed Y, Wang Y, Welding K, Werdecker A, Whisnant JL, Wickramasinghe ND, Wubishet BL, Yamagishi K, Yano Y, Yazdi-Feyzabadi V, Yeshaw Y, Yimmer MZ, Yonemoto N, Yousefi Z, Yu C, Yunusa I, Yusefzadeh H, Zaman MS, Zamani M, Zamanian M, Zastrozhin MS, Zastrozhina A, Zhang J, Zhang ZJ, Zhong C, Zuniga YMH, Gakidou E. Spatial, temporal, and demographic patterns in prevalence of chewing tobacco use in 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019. Lancet Public Health 2021; 6:e482-e499. [PMID: 34051920 PMCID: PMC8251505 DOI: 10.1016/s2468-2667(21)00065-7] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [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: 02/11/2021] [Revised: 03/12/2021] [Accepted: 03/16/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Chewing tobacco and other types of smokeless tobacco use have had less attention from the global health community than smoked tobacco use. However, the practice is popular in many parts of the world and has been linked to several adverse health outcomes. Understanding trends in prevalence with age, over time, and by location and sex is important for policy setting and in relation to monitoring and assessing commitment to the WHO Framework Convention on Tobacco Control. METHODS We estimated prevalence of chewing tobacco use as part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 using a modelling strategy that used information on multiple types of smokeless tobacco products. We generated a time series of prevalence of chewing tobacco use among individuals aged 15 years and older from 1990 to 2019 in 204 countries and territories, including age-sex specific estimates. We also compared these trends to those of smoked tobacco over the same time period. FINDINGS In 2019, 273·9 million (95% uncertainty interval 258·5 to 290·9) people aged 15 years and older used chewing tobacco, and the global age-standardised prevalence of chewing tobacco use was 4·72% (4·46 to 5·01). 228·2 million (213·6 to 244·7; 83·29% [82·15 to 84·42]) chewing tobacco users lived in the south Asia region. Prevalence among young people aged 15-19 years was over 10% in seven locations in 2019. Although global age-standardised prevalence of smoking tobacco use decreased significantly between 1990 and 2019 (annualised rate of change: -1·21% [-1·26 to -1·16]), similar progress was not observed for chewing tobacco (0·46% [0·13 to 0·79]). Among the 12 highest prevalence countries (Bangladesh, Bhutan, Cambodia, India, Madagascar, Marshall Islands, Myanmar, Nepal, Pakistan, Palau, Sri Lanka, and Yemen), only Yemen had a significant decrease in the prevalence of chewing tobacco use, which was among males between 1990 and 2019 (-0·94% [-1·72 to -0·14]), compared with nine of 12 countries that had significant decreases in the prevalence of smoking tobacco. Among females, none of these 12 countries had significant decreases in prevalence of chewing tobacco use, whereas seven of 12 countries had a significant decrease in the prevalence of tobacco smoking use for the period. INTERPRETATION Chewing tobacco remains a substantial public health problem in several regions of the world, and predominantly in south Asia. We found little change in the prevalence of chewing tobacco use between 1990 and 2019, and that control efforts have had much larger effects on the prevalence of smoking tobacco use than on chewing tobacco use in some countries. Mitigating the health effects of chewing tobacco requires stronger regulations and policies that specifically target use of chewing tobacco, especially in countries with high prevalence. FUNDING Bloomberg Philanthropies and the Bill & Melinda Gates Foundation.
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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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Ashrafi SD, Safari GH, Sharafi K, Kamani H, Jaafari J. Adsorption of 4-Nitrophenol on calcium alginate-multiwall carbon nanotube beads: Modeling, kinetics, equilibriums and reusability studies. Int J Biol Macromol 2021; 185:66-76. [PMID: 34146560 DOI: 10.1016/j.ijbiomac.2021.06.081] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Revised: 05/24/2021] [Accepted: 06/11/2021] [Indexed: 12/07/2022]
Abstract
In this study calcium alginate-multiwall carbon nanotube (CA/MWCNTs) was synthesized using (CA) calcium alginate and multiwall carbon nanotube (MWCNTs), and its efficiency in adsorption of 4-Nitrophenol (4-NP) in aqueous solution was studied. The structure and properties of the synthesized adsorbent were investigated using scanning electron microscope (SEM), thermal gravimetric analysis (TGA), Fourier transform infrared (FTIR), and X-ray diffraction (XRD). The experimental design was performed using Box-Behnken design (BBD) in which variables pH, CA/MWCNTs, and temperature were examined. The results of the effect of temperature on the removal efficiency of 4-NP showed that the adsorption efficiency decreases with increasing temperature. The results of nonlinear isotherm and kinetics models showed that Langmuir and pseudo-second-order models were more consistent than other models. The maximum adsorption capacity of 4-NP in this study by CA, MWCNTs, and CA/MWCNTs was 136, 168.4, and 58.8 mg/g, respectively, which indicates that the use of MWCNTs on CA could increase the adsorption capacity. The results of reuse of the synthesized adsorbent at 4-NP removal also showed that after 5 reuse of the adsorbent, the removal of 4-NP using CA/MWCNTs is reduced by about 10%, which shows that the synthesized adsorbent can be used several times to adsorb contaminants without significant reduction in the efficiency.
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Affiliation(s)
- Seyed Davoud Ashrafi
- Research Center of Health and Environment, School of Health, Guilan University of Medical Sciences, Rasht, Iran
| | - Gholam Hossein Safari
- Health and Environmental Research Center, School of Public Health, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Kiomars Sharafi
- Research Center for Environmental Determinants of Health (RCEDH), Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Hossein Kamani
- Health Promotion Research Center, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Jalil Jaafari
- Research Center of Health and Environment, School of Health, Guilan University of Medical Sciences, Rasht, Iran.
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Jaafari J, Naddafi K, Yunesian M, Nabizadeh R, Hassanvand MS, Shamsipour M, Ghanbari Ghozikali M, Nazmara S, Shamsollahi HR, Yaghmaeian K. Associations between short term exposure to ambient particulate matter from dust storm and anthropogenic sources and inflammatory biomarkers in healthy young adults. Sci Total Environ 2021; 761:144503. [PMID: 33352344 DOI: 10.1016/j.scitotenv.2020.144503] [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] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2020] [Revised: 11/18/2020] [Accepted: 12/10/2020] [Indexed: 05/13/2023]
Abstract
This study examined the association between particulate matter from anthropogenic and natural sources and inflammatory biomarkers, including hs-CRP, IL-6, sTNF-RII, and WBCs, in two groups of healthy young subjects. We followed up subjects of two panels (16 to 22 years old), including 22 subjects selected from the urban area (Tehran city) with high-level pollution background and 22 subjects selected from the rural area (Ahmadabad) with low-level pollution background. In each group, we collected 4 times blood samples in various air pollution conditions, In the subjects of the urban group, there was a substantial difference (p < 0.05) between inversion days and cold season control days, and between dust storm days and warm season control days for concentrations of hs-CRP, IL-6, and WBCs biomarkers. In the subjects of the rural group, a significant difference could be detected in the concentration of hs-CRP, IL-6, and WBCs biomarkers (p < 0.05) between inversion days and cold season control days, and between dust storm and warm control days. We found that the difference in concentrations of hs-CRP, IL-6, and WBCs biomarkers between dust storm days and warm control conditions in the rural group were higher than the difference in inversion and cold control conditions, which can be attributed to low background air pollution in the rural area. In the urban area, the health effect of anthropogenic sources of PM is higher than the dust storm condition, which can be attributed to the stronger effect of anthropogenic pollution effect.
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Affiliation(s)
- Jalil Jaafari
- Research Center of Health and Environment, School of Health, Guilan University of Medical Sciences, Rasht, Iran; Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran.
| | - Kazem Naddafi
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran; Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Masud Yunesian
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran; Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran; Department of Research Methodology and Data Analysis, Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran.
| | - Ramin Nabizadeh
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran; Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Sadegh Hassanvand
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran.
| | - Mansour Shamsipour
- Department of Research Methodology and Data Analysis, Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
| | | | - Shahrokh Nazmara
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Hamid Reza Shamsollahi
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Kamyar Yaghmaeian
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran; Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
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Jaafari J, Barzanouni H, Mazloomi S, Amir Abadi Farahani N, Sharafi K, Soleimani P, Haghighat GA. Effective adsorptive removal of reactive dyes by magnetic chitosan nanoparticles: Kinetic, isothermal studies and response surface methodology. Int J Biol Macromol 2020; 164:344-355. [DOI: 10.1016/j.ijbiomac.2020.07.042] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 07/04/2020] [Accepted: 07/06/2020] [Indexed: 01/04/2023]
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Lozano R, Fullman N, Mumford JE, Knight M, Barthelemy CM, Abbafati C, Abbastabar H, Abd-Allah F, Abdollahi M, Abedi A, Abolhassani H, Abosetugn AE, Abreu LG, Abrigo MRM, Abu Haimed AK, Abushouk AI, Adabi M, Adebayo OM, Adekanmbi V, Adelson J, Adetokunboh OO, Adham D, Advani SM, Afshin A, Agarwal G, Agasthi P, Aghamir SMK, Agrawal A, Ahmad T, Akinyemi RO, Alahdab F, Al-Aly Z, Alam K, Albertson SB, Alemu YM, Alhassan RK, Ali M, Ali S, Alipour V, Aljunid SM, Alla F, Almadi MAH, Almasi A, Almasi-Hashiani A, Almasri NA, Al-Mekhlafi HM, Almulhim AM, Alonso J, Al-Raddadi RM, Altirkawi KA, Alvis-Guzman N, Alvis-Zakzuk NJ, Amini S, Amini-Rarani M, Amiri F, Amit AML, Amugsi DA, Ancuceanu R, Anderlini D, Andrei CL, Androudi S, Ansari F, Ansari-Moghaddam A, Antonio CAT, Antony CM, Antriyandarti E, Anvari D, Anwer R, Arabloo J, Arab-Zozani M, Aravkin AY, Aremu O, Ärnlöv J, Asaad M, Asadi-Aliabadi M, Asadi-Pooya AA, Ashbaugh C, Athari SS, Atout MMW, Ausloos M, Avila-Burgos L, Ayala Quintanilla BP, Ayano G, Ayanore MA, Aynalem YA, Aynalem GL, Ayza MA, Azari S, Azzopardi PS, B DB, Babaee E, Badiye AD, Bahrami MA, Baig AA, Bakhshaei MH, Bakhtiari A, Bakkannavar SM, Balachandran A, Balassyano S, Banach M, Banerjee SK, Banik PC, Bante AB, Bante SA, Barker-Collo SL, Bärnighausen TW, Barrero LH, Bassat Q, Basu S, Baune BT, Bayati M, Baye BA, Bedi N, Beghi E, Behzadifar M, Bekuma TTT, Bell ML, Bensenor IM, Berman AE, Bernabe E, Bernstein RS, Bhagavathula AS, Bhandari D, Bhardwaj P, Bhat AG, Bhattacharyya K, Bhattarai S, Bhutta ZA, Bijani A, Bikbov B, Bilano V, Biondi A, Birihane BM, Bockarie MJ, Bohlouli S, Bojia HA, Bolla SRR, Boloor A, Brady OJ, Braithwaite D, Briant PS, Briggs AM, Briko NI, Burugina Nagaraja S, Busse R, Butt ZA, Caetano dos Santos FL, Cahuana-Hurtado L, Cámera LA, Cárdenas R, Carreras G, Carrero JJ, Carvalho F, Castaldelli-Maia JM, Castañeda-Orjuela CA, Castelpietra G, Castro F, Catalá-López F, Causey K, Cederroth CR, Cercy KM, Cerin E, Chandan JS, Chang AY, Charan J, Chattu VK, Chaturvedi S, Chin KL, Cho DY, Choi JYJ, Christensen H, Chu DT, Chung MT, Ciobanu LG, Cirillo M, Comfort H, Compton K, Cortesi PA, Costa VM, Cousin E, Dahlawi SMA, Damiani G, Dandona L, Dandona R, Darega Gela J, Darwesh AM, Daryani A, Dash AP, Davey G, Dávila-Cervantes CA, Davletov K, De Neve JW, Denova-Gutiérrez E, Deribe K, Dervenis N, Desai R, Dharmaratne SD, Dhungana GP, Dianatinasab M, Dias da Silva D, Diaz D, Dippenaar IN, Do HT, Dorostkar F, Doshmangir L, Duncan BB, Duraes AR, Eagan AW, Edvardsson D, El Sayed I, El Tantawi M, Elgendy IY, Elyazar IRF, Eskandari K, Eskandarieh S, Esmaeilnejad S, Esteghamati A, Ezekannagha O, Farag T, Farahmand M, Faraon EJA, Farinha CSES, Farioli A, Faris PS, Faro A, Fazlzadeh M, Feigin VL, Fernandes E, Ferrara P, Feyissa GT, Filip I, Fischer F, Fisher JL, Flor LS, Foigt NA, Folayan MO, Fomenkov AA, Foroutan M, Francis JM, Fu W, Fukumoto T, Furtado JM, Gad MM, Gaidhane AM, Gakidou E, Galles NC, Gallus S, Gardner WM, Geberemariyam BS, Gebrehiwot AM, Gebremeskel LG, Gebremeskel GG, Gesesew HA, Ghadiri K, Ghafourifard M, Ghashghaee A, Ghith N, Gholamian A, Gilani SA, Gill PS, Gill TK, Ginindza TG, Gitimoghaddam M, Giussani G, Glagn M, Gnedovskaya EV, Godinho MA, Goharinezhad S, Gopalani SV, Goudarzian AH, Goulart BNG, Gubari MIM, Guimarães RA, Guled RA, Gultie T, Guo Y, Gupta R, Gupta R, Hafezi-Nejad N, Hafiz A, Haile TG, Hamadeh RR, Hameed S, Hamidi S, Han C, Han H, Handiso DW, Hanif A, Hankey GJ, Haro JM, Hasaballah AI, Hasan MM, Hashi A, Hassan S, Hassan A, Hassanipour S, Hassankhani H, Havmoeller RJ, Hay SI, Hayat K, Heidari G, Heidari-Soureshjani R, Hendrie D, Herteliu C, Hird TR, Ho HC, Hole MK, Holla R, Hollingsworth B, Hoogar P, Hopf KP, Horita N, Hossain N, Hosseini M, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Hsieh VCR, Hu G, Huda TM, Humayun A, Hwang BF, Iavicoli I, Ibitoye SE, Ikeda N, Ilesanmi OS, Ilic IM, Ilic MD, Inbaraj LR, Iqbal U, Irvani SSN, Irvine CMS, Islam MM, Islam SMS, Islami F, Iso H, Iwu CJ, Iwu CCD, Jaafari J, Jadidi-Niaragh F, Jafarinia M, Jahagirdar D, Jahani MA, Jahanmehr N, Jakovljevic M, Janjani H, Javaheri T, Jayatilleke AU, Jenabi E, Jha RP, Jha V, Ji JS, Jia P, John-Akinola YO, Jonas JB, Joukar F, Jozwiak JJ, Jürisson M, Kabir Z, Kalankesh LR, Kalhor R, Kamath AM, Kanchan T, Kapoor N, Karami Matin B, Karanikolos M, Karimi SM, Kassebaum NJ, Katikireddi SV, Kayode GA, Keiyoro PN, Khader YS, Khammarnia M, Khan M, Khan EA, Khang YH, Khatab K, Khater AM, Khater MM, Khatib MN, Khayamzadeh M, Khubchandani J, Kianipour N, Kim YE, Kim YJ, Kimokoti RW, Kinfu Y, Kisa A, Kissimova-Skarbek K, Kivimäki M, Kneib CJ, Kocarnik JM, Kochhar S, Kohler S, Kopec JA, Korotkova AV, Korshunov VA, Kosen S, Kotlo A, Koul PA, Koyanagi A, Krishan K, Krohn KJ, Kugbey N, Kulkarni V, Kumar GA, Kumar N, Kumar M, Kurmi OP, Kusuma D, Kyu HH, La Vecchia C, Lacey B, Lal DK, Lalloo R, Landires I, Lansingh VC, Larsson AO, Lasrado S, Lau KMM, Lauriola P, Lazarus JV, Ledesma JR, Lee PH, Lee SWH, Leever AT, LeGrand KE, Leigh J, Leonardi M, Li S, Lim SS, Lim LL, Liu X, Logroscino G, Lopez AD, Lopukhov PD, Lotufo PA, Lu A, Ma J, Madadin M, Mahasha PW, Mahmoudi M, Majeed A, Malagón-Rojas JN, Maleki S, Malta DC, Mansouri B, Mansournia MA, Martini S, Martins-Melo FR, Martopullo I, Massenburg BB, Mastrogiacomo CI, Mathur MR, McAlinden C, McKee M, Medina-Solís CE, Meharie BG, Mehndiratta MM, Mehrabi Nasab E, Mehri F, Mehrotra R, Mekonnen T, Melese A, Memiah PTN, Mendoza W, Menezes RG, Mensah GA, Meretoja TJ, Meretoja A, Mestrovic T, Miazgowski B, Michalek IM, Mirrakhimov EM, Mirzaei M, Mirzaei-Alavijeh M, Mitchell PB, Moazen B, Moghadaszadeh M, Mohamadi E, Mohammad Y, Mohammad DK, Mohammad Gholi Mezerji N, Mohammadian-Hafshejani A, Mohammed S, Mohammed JA, Mokdad AH, Monasta L, Mondello S, Moradi M, Moradi-Lakeh M, Moradzadeh R, Moraga P, Morgado-da-Costa J, Morrison SD, Mosapour A, Mosser JF, Mousavi Khaneghah A, Muriithi MK, Mustafa G, Nabhan AF, Naderi M, Nagarajan AJ, Naghavi M, Naghshtabrizi B, Naimzada MD, Nangia V, Nansseu JR, Nayak VC, Nazari J, Ndejjo R, Negoi I, Negoi RI, Neupane S, Ngari KN, Nguefack-Tsague G, Ngunjiri JW, Nguyen CT, Nguyen DN, Nguyen HLT, Nnaji CA, Nomura S, Norheim OF, Noubiap JJ, Nowak C, Nunez-Samudio V, Otoiu A, Ogbo FA, Oghenetega OB, Oh IH, Okunga EW, Oladnabi M, Olagunju AT, Olusanya JO, Olusanya BO, Oluwasanu MM, Omar Bali A, Omer MO, Ong KL, Onwujekwe OE, Ortega-Altamirano DVV, Ortiz A, Ostojic SM, Otstavnov N, Otstavnov SS, Øverland S, Owolabi MO, Padubidri JR, Pakhale S, Palladino R, Pana A, Panda-Jonas S, Pangaribuan HU, Pathak M, Patton GC, Paudel S, Pazoki Toroudi H, Pease SA, Peden AE, Pennini A, Peprah EK, Pereira J, Pigott DM, Pilgrim T, Pilz TM, Pinheiro M, Piradov MA, Pirsaheb M, Pokhrel KN, Postma MJ, Pourjafar H, Pourmalek F, Pourmirza Kalhori R, Pourshams A, Prada SI, Pribadi DRA, Pupillo E, Quazi Syed Z, Radfar A, Rafiee A, Rafiei A, Raggi A, Rahim F, Rahman MA, Rajabpour-Sanati A, Rana SM, Ranabhat CL, Rao SJ, Rasella D, Rashedi V, Rath GK, Rathi P, Rawaf S, Rawaf DL, Rawal L, Rawassizadeh R, Razo C, Renjith V, Renzaho AMN, Reshmi B, Rezaei N, Riahi SM, Ribeiro DC, Rickard J, Roberts NLS, Roever L, Romoli M, Ronfani L, Roshandel G, Rubagotti E, Rwegerera GM, Sabour S, Sachdev PS, Saddik B, Sadeghi M, Sadeghi E, Safari Y, Sagar R, Sahebkar A, Sahraian MA, Sajadi SM, Salahshoor MR, Salem MRR, Salem H, Salomon J, Samadi Kafil H, Samy AM, Sanabria J, Santric-Milicevic MM, Saraswathy SYI, Sarmiento-Suárez R, Sartorius B, Sarveazad A, Sathian B, Sathish T, Sattin D, Savic M, Sawyer SM, Saxena D, Sbarra AN, Schaeffer LE, Schiavolin S, Schmidt MI, Schutte AE, Schwebel DC, Schwendicke F, Seedat S, Sha F, Shahabi S, Shaheen AA, Shaikh MA, Shamsizadeh M, Shannawaz M, Sharafi K, Sharara F, Sharifi H, Shaw DH, Sheikh A, Sheikhtaheri A, Shetty BSK, Shibuya K, Shiferaw WS, Shigematsu M, Shin JI, Shiri R, Shirkoohi R, Shivakumar KM, Shrime MG, Shuval K, Siabani S, Sierpinski R, Sigfusdottir ID, Sigurvinsdottir R, Silva DAS, Silva JP, Simonetti B, Simpson KE, Singh JA, Singh P, Sinha DN, Skryabin VY, Smith EUR, Soheili A, Soltani S, Soofi M, Sorensen RJ, Soriano JB, Sorrie MB, Soyiri IN, Spurlock EE, Sreeramareddy CT, Stanaway JD, Steel N, Stein C, Stokes MA, Sufiyan MB, Suleria HAR, Sultan I, Szumowski Ł, Tabarés-Seisdedos R, Tabuchi T, Tadakamadla SK, Taddele BW, Tadesse DB, Taherkhani A, Tamiru AT, Tanser FC, Tareque MI, Tarigan IU, Teagle WL, Tediosi F, Tefera YGG, Tela FG, Tessema ZT, Thakur B, Titova MV, Tonelli M, Topor-Madry R, Topouzis F, Tovani-Palone MRR, Tran BX, Travillian R, Troeger CE, Tudor Car L, Uddin R, Ullah I, Umeokonkwo CD, Unnikrishnan B, Upadhyay E, Uthman OA, Vacante M, Valdez PR, Varughese S, Vasankari TJ, Vasseghian Y, Venketasubramanian N, Violante FS, Vlassov V, Vollset SE, Vongpradith A, Vos T, Waheed Y, Walters MK, Wamai RG, Wang H, Wang YP, Weintraub RG, Weiss J, Werdecker A, Westerman R, Wilner LB, Woldu G, Wolfe CDA, Wu AM, Wulf Hanson S, Xie Y, Xu R, Yahyazadeh Jabbari SH, Yamagishi K, Yano Y, Yaya S, Yazdi-Feyzabadi V, Yearwood JA, Yeshitila YG, Yip P, Yonemoto N, Younis MZ, Yousefi Z, Yousefinezhadi T, Yusefzadeh H, Zadey S, Zahirian Moghadam T, Zaidi SS, Zaki L, Zaman SB, Zamani M, Zamanian M, Zandian H, Zastrozhin MS, Zewdie KA, Zhang Y, Zhao XJG, Zhao Y, Zheng P, Zhu C, Ziapour A, Zlavog BS, Zodpey S, Murray CJL. Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 2020; 396:1250-1284. [PMID: 32861314 PMCID: PMC7562819 DOI: 10.1016/s0140-6736(20)30750-9] [Citation(s) in RCA: 251] [Impact Index Per Article: 62.8] [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: 12/31/2019] [Revised: 03/05/2020] [Accepted: 03/23/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Achieving universal health coverage (UHC) involves all people receiving the health services they need, of high quality, without experiencing financial hardship. Making progress towards UHC is a policy priority for both countries and global institutions, as highlighted by the agenda of the UN Sustainable Development Goals (SDGs) and WHO's Thirteenth General Programme of Work (GPW13). Measuring effective coverage at the health-system level is important for understanding whether health services are aligned with countries' health profiles and are of sufficient quality to produce health gains for populations of all ages. METHODS Based on the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we assessed UHC effective coverage for 204 countries and territories from 1990 to 2019. Drawing from a measurement framework developed through WHO's GPW13 consultation, we mapped 23 effective coverage indicators to a matrix representing health service types (eg, promotion, prevention, and treatment) and five population-age groups spanning from reproductive and newborn to older adults (≥65 years). Effective coverage indicators were based on intervention coverage or outcome-based measures such as mortality-to-incidence ratios to approximate access to quality care; outcome-based measures were transformed to values on a scale of 0-100 based on the 2·5th and 97·5th percentile of location-year values. We constructed the UHC effective coverage index by weighting each effective coverage indicator relative to its associated potential health gains, as measured by disability-adjusted life-years for each location-year and population-age group. For three tests of validity (content, known-groups, and convergent), UHC effective coverage index performance was generally better than that of other UHC service coverage indices from WHO (ie, the current metric for SDG indicator 3.8.1 on UHC service coverage), the World Bank, and GBD 2017. We quantified frontiers of UHC effective coverage performance on the basis of pooled health spending per capita, representing UHC effective coverage index levels achieved in 2019 relative to country-level government health spending, prepaid private expenditures, and development assistance for health. To assess current trajectories towards the GPW13 UHC billion target-1 billion more people benefiting from UHC by 2023-we estimated additional population equivalents with UHC effective coverage from 2018 to 2023. FINDINGS Globally, performance on the UHC effective coverage index improved from 45·8 (95% uncertainty interval 44·2-47·5) in 1990 to 60·3 (58·7-61·9) in 2019, yet country-level UHC effective coverage in 2019 still spanned from 95 or higher in Japan and Iceland to lower than 25 in Somalia and the Central African Republic. Since 2010, sub-Saharan Africa showed accelerated gains on the UHC effective coverage index (at an average increase of 2·6% [1·9-3·3] per year up to 2019); by contrast, most other GBD super-regions had slowed rates of progress in 2010-2019 relative to 1990-2010. Many countries showed lagging performance on effective coverage indicators for non-communicable diseases relative to those for communicable diseases and maternal and child health, despite non-communicable diseases accounting for a greater proportion of potential health gains in 2019, suggesting that many health systems are not keeping pace with the rising non-communicable disease burden and associated population health needs. In 2019, the UHC effective coverage index was associated with pooled health spending per capita (r=0·79), although countries across the development spectrum had much lower UHC effective coverage than is potentially achievable relative to their health spending. Under maximum efficiency of translating health spending into UHC effective coverage performance, countries would need to reach $1398 pooled health spending per capita (US$ adjusted for purchasing power parity) in order to achieve 80 on the UHC effective coverage index. From 2018 to 2023, an estimated 388·9 million (358·6-421·3) more population equivalents would have UHC effective coverage, falling well short of the GPW13 target of 1 billion more people benefiting from UHC during this time. Current projections point to an estimated 3·1 billion (3·0-3·2) population equivalents still lacking UHC effective coverage in 2023, with nearly a third (968·1 million [903·5-1040·3]) residing in south Asia. INTERPRETATION The present study demonstrates the utility of measuring effective coverage and its role in supporting improved health outcomes for all people-the ultimate goal of UHC and its achievement. Global ambitions to accelerate progress on UHC service coverage are increasingly unlikely unless concerted action on non-communicable diseases occurs and countries can better translate health spending into improved performance. Focusing on effective coverage and accounting for the world's evolving health needs lays the groundwork for better understanding how close-or how far-all populations are in benefiting from UHC. FUNDING Bill & Melinda Gates Foundation.
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Vos T, Lim SS, Abbafati C, Abbas KM, Abbasi M, Abbasifard M, Abbasi-Kangevari M, Abbastabar H, Abd-Allah F, Abdelalim A, Abdollahi M, Abdollahpour I, Abolhassani H, Aboyans V, Abrams EM, Abreu LG, Abrigo MRM, Abu-Raddad LJ, Abushouk AI, Acebedo A, Ackerman IN, Adabi M, Adamu AA, Adebayo OM, Adekanmbi V, Adelson JD, Adetokunboh OO, Adham D, Afshari M, Afshin A, Agardh EE, Agarwal G, Agesa KM, Aghaali M, Aghamir SMK, Agrawal A, Ahmad T, Ahmadi A, Ahmadi M, Ahmadieh H, Ahmadpour E, Akalu TY, Akinyemi RO, Akinyemiju T, Akombi B, Al-Aly Z, Alam K, Alam N, Alam S, Alam T, Alanzi TM, Albertson SB, Alcalde-Rabanal JE, Alema NM, Ali M, Ali S, Alicandro G, Alijanzadeh M, Alinia C, Alipour V, Aljunid SM, Alla F, Allebeck P, Almasi-Hashiani A, Alonso J, Al-Raddadi RM, Altirkawi KA, Alvis-Guzman N, Alvis-Zakzuk NJ, Amini S, Amini-Rarani M, Aminorroaya A, Amiri F, Amit AML, Amugsi DA, Amul GGH, Anderlini D, Andrei CL, Andrei T, Anjomshoa M, Ansari F, Ansari I, Ansari-Moghaddam A, Antonio CAT, Antony CM, Antriyandarti E, Anvari D, Anwer R, Arabloo J, Arab-Zozani M, Aravkin AY, Ariani F, Ärnlöv J, Aryal KK, Arzani A, Asadi-Aliabadi M, Asadi-Pooya AA, Asghari B, Ashbaugh C, Atnafu DD, Atre SR, Ausloos F, Ausloos M, Ayala Quintanilla BP, Ayano G, Ayanore MA, Aynalem YA, Azari S, Azarian G, Azene ZN, Babaee E, Badawi A, Bagherzadeh M, Bakhshaei MH, Bakhtiari A, Balakrishnan S, Balalla S, Balassyano S, Banach M, Banik PC, Bannick MS, Bante AB, Baraki AG, Barboza MA, Barker-Collo SL, Barthelemy CM, Barua L, Barzegar A, Basu S, Baune BT, Bayati M, Bazmandegan G, Bedi N, Beghi E, Béjot Y, Bello AK, Bender RG, Bennett DA, Bennitt FB, Bensenor IM, Benziger CP, Berhe K, Bernabe E, Bertolacci GJ, Bhageerathy R, Bhala N, Bhandari D, Bhardwaj P, Bhattacharyya K, Bhutta ZA, Bibi S, Biehl MH, Bikbov B, Bin Sayeed MS, Biondi A, Birihane BM, Bisanzio D, Bisignano C, Biswas RK, Bohlouli S, Bohluli M, Bolla SRR, Boloor A, Boon-Dooley AS, Borges G, Borzì AM, Bourne R, Brady OJ, Brauer M, Brayne C, Breitborde NJK, Brenner H, Briant PS, Briggs AM, Briko NI, Britton GB, Bryazka D, Buchbinder R, Bumgarner BR, Busse R, Butt ZA, Caetano dos Santos FL, Cámera LLAA, Campos-Nonato IR, Car J, Cárdenas R, Carreras G, Carrero JJ, Carvalho F, Castaldelli-Maia JM, Castañeda-Orjuela CA, Castelpietra G, Castle CD, Castro F, Catalá-López F, Causey K, Cederroth CR, Cercy KM, Cerin E, Chandan JS, Chang AR, Charlson FJ, Chattu VK, Chaturvedi S, Chimed-Ochir O, Chin KL, Cho DY, Christensen H, Chu DT, Chung MT, Cicuttini FM, Ciobanu LG, Cirillo M, Collins EL, Compton K, Conti S, Cortesi PA, Costa VM, Cousin E, Cowden RG, Cowie BC, Cromwell EA, Cross DH, Crowe CS, Cruz JA, Cunningham M, Dahlawi SMA, Damiani G, Dandona L, Dandona R, Darwesh AM, Daryani A, Das JK, Das Gupta R, das Neves J, Dávila-Cervantes CA, Davletov K, De Leo D, Dean FE, DeCleene NK, Deen A, Degenhardt L, Dellavalle RP, Demeke FM, Demsie DG, Denova-Gutiérrez E, Dereje ND, Dervenis N, Desai R, Desalew A, Dessie GA, Dharmaratne SD, Dhungana GP, Dianatinasab M, Diaz D, Dibaji Forooshani ZS, Dingels ZV, Dirac MA, Djalalinia S, Do HT, Dokova K, Dorostkar F, Doshi CP, Doshmangir L, Douiri A, Doxey MC, Driscoll TR, Dunachie SJ, Duncan BB, Duraes AR, Eagan AW, Ebrahimi Kalan M, Edvardsson D, Ehrlich JR, El Nahas N, El Sayed I, El Tantawi M, Elbarazi I, Elgendy IY, Elhabashy HR, El-Jaafary SI, Elyazar IRF, Emamian MH, Emmons-Bell S, Erskine HE, Eshrati B, Eskandarieh S, Esmaeilnejad S, Esmaeilzadeh F, Esteghamati A, Estep K, Etemadi A, Etisso AE, Farahmand M, Faraj A, Fareed M, Faridnia R, Farinha CSES, Farioli A, Faro A, Faruque M, Farzadfar F, Fattahi N, Fazlzadeh M, Feigin VL, Feldman R, Fereshtehnejad SM, Fernandes E, Ferrari AJ, Ferreira ML, Filip I, Fischer F, Fisher JL, Fitzgerald R, Flohr C, Flor LS, Foigt NA, Folayan MO, Force LM, Fornari C, Foroutan M, Fox JT, Freitas M, Fu W, Fukumoto T, Furtado JM, Gad MM, Gakidou E, Galles NC, Gallus S, Gamkrelidze A, Garcia-Basteiro AL, Gardner WM, Geberemariyam BS, 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Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 2020; 396:1204-1222. [PMID: 33069326 PMCID: PMC7567026 DOI: 10.1016/s0140-6736(20)30925-9] [Citation(s) in RCA: 6299] [Impact Index Per Article: 1574.8] [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: 11/16/2019] [Revised: 02/27/2020] [Accepted: 04/14/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and injuries. METHODS GBD estimates incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) due to 369 diseases and injuries, for two sexes, and for 204 countries and territories. Input data were extracted from censuses, household surveys, civil registration and vital statistics, disease registries, health service use, air pollution monitors, satellite imaging, disease notifications, and other sources. Cause-specific death rates and cause fractions were calculated using the Cause of Death Ensemble model and spatiotemporal Gaussian process regression. Cause-specific deaths were adjusted to match the total all-cause deaths calculated as part of the GBD population, fertility, and mortality estimates. Deaths were multiplied by standard life expectancy at each age to calculate YLLs. A Bayesian meta-regression modelling tool, DisMod-MR 2.1, was used to ensure consistency between incidence, prevalence, remission, excess mortality, and cause-specific mortality for most causes. Prevalence estimates were multiplied by disability weights for mutually exclusive sequelae of diseases and injuries to calculate YLDs. We considered results in the context of the Socio-demographic Index (SDI), a composite indicator of income per capita, years of schooling, and fertility rate in females younger than 25 years. Uncertainty intervals (UIs) were generated for every metric using the 25th and 975th ordered 1000 draw values of the posterior distribution. FINDINGS Global health has steadily improved over the past 30 years as measured by age-standardised DALY rates. After taking into account population growth and ageing, the absolute number of DALYs has remained stable. Since 2010, the pace of decline in global age-standardised DALY rates has accelerated in age groups younger than 50 years compared with the 1990-2010 time period, with the greatest annualised rate of decline occurring in the 0-9-year age group. Six infectious diseases were among the top ten causes of DALYs in children younger than 10 years in 2019: lower respiratory infections (ranked second), diarrhoeal diseases (third), malaria (fifth), meningitis (sixth), whooping cough (ninth), and sexually transmitted infections (which, in this age group, is fully accounted for by congenital syphilis; ranked tenth). In adolescents aged 10-24 years, three injury causes were among the top causes of DALYs: road injuries (ranked first), self-harm (third), and interpersonal violence (fifth). Five of the causes that were in the top ten for ages 10-24 years were also in the top ten in the 25-49-year age group: road injuries (ranked first), HIV/AIDS (second), low back pain (fourth), headache disorders (fifth), and depressive disorders (sixth). In 2019, ischaemic heart disease and stroke were the top-ranked causes of DALYs in both the 50-74-year and 75-years-and-older age groups. Since 1990, there has been a marked shift towards a greater proportion of burden due to YLDs from non-communicable diseases and injuries. In 2019, there were 11 countries where non-communicable disease and injury YLDs constituted more than half of all disease burden. Decreases in age-standardised DALY rates have accelerated over the past decade in countries at the lower end of the SDI range, while improvements have started to stagnate or even reverse in countries with higher SDI. INTERPRETATION As disability becomes an increasingly large component of disease burden and a larger component of health expenditure, greater research and development investment is needed to identify new, more effective intervention strategies. With a rapidly ageing global population, the demands on health services to deal with disabling outcomes, which increase with age, will require policy makers to anticipate these changes. The mix of universal and more geographically specific influences on health reinforces the need for regular reporting on population health in detail and by underlying cause to help decision makers to identify success stories of disease control to emulate, as well as opportunities to improve. FUNDING Bill & Melinda Gates Foundation.
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Zandian H, Zastrozhin MS, Zhang Y, Zhang ZJ, Zhao JT, Zhao XJG, Zhao Y, Zhou M, Ziapour A, Zimsen SRM, Brauer M, Afshin A, Lim SS. Global burden of 87 risk factors in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 2020; 396:1223-1249. [PMID: 33069327 PMCID: PMC7566194 DOI: 10.1016/s0140-6736(20)30752-2] [Citation(s) in RCA: 3234] [Impact Index Per Article: 808.5] [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: 11/28/2019] [Revised: 03/21/2020] [Accepted: 03/23/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Rigorous analysis of levels and trends in exposure to leading risk factors and quantification of their effect on human health are important to identify where public health is making progress and in which cases current efforts are inadequate. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a standardised and comprehensive assessment of the magnitude of risk factor exposure, relative risk, and attributable burden of disease. METHODS GBD 2019 estimated attributable mortality, years of life lost (YLLs), years of life lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 87 risk factors and combinations of risk factors, at the global level, regionally, and for 204 countries and territories. GBD uses a hierarchical list of risk factors so that specific risk factors (eg, sodium intake), and related aggregates (eg, diet quality), are both evaluated. This method has six analytical steps. (1) We included 560 risk-outcome pairs that met criteria for convincing or probable evidence on the basis of research studies. 12 risk-outcome pairs included in GBD 2017 no longer met inclusion criteria and 47 risk-outcome pairs for risks already included in GBD 2017 were added based on new evidence. (2) Relative risks were estimated as a function of exposure based on published systematic reviews, 81 systematic reviews done for GBD 2019, and meta-regression. (3) Levels of exposure in each age-sex-location-year included in the study were estimated based on all available data sources using spatiotemporal Gaussian process regression, DisMod-MR 2.1, a Bayesian meta-regression method, or alternative methods. (4) We determined, from published trials or cohort studies, the level of exposure associated with minimum risk, called the theoretical minimum risk exposure level. (5) Attributable deaths, YLLs, YLDs, and DALYs were computed by multiplying population attributable fractions (PAFs) by the relevant outcome quantity for each age-sex-location-year. (6) PAFs and attributable burden for combinations of risk factors were estimated taking into account mediation of different risk factors through other risk factors. Across all six analytical steps, 30 652 distinct data sources were used in the analysis. Uncertainty in each step of the analysis was propagated into the final estimates of attributable burden. Exposure levels for dichotomous, polytomous, and continuous risk factors were summarised with use of the summary exposure value to facilitate comparisons over time, across location, and across risks. Because the entire time series from 1990 to 2019 has been re-estimated with use of consistent data and methods, these results supersede previously published GBD estimates of attributable burden. FINDINGS The largest declines in risk exposure from 2010 to 2019 were among a set of risks that are strongly linked to social and economic development, including household air pollution; unsafe water, sanitation, and handwashing; and child growth failure. Global declines also occurred for tobacco smoking and lead exposure. The largest increases in risk exposure were for ambient particulate matter pollution, drug use, high fasting plasma glucose, and high body-mass index. In 2019, the leading Level 2 risk factor globally for attributable deaths was high systolic blood pressure, which accounted for 10·8 million (95% uncertainty interval [UI] 9·51-12·1) deaths (19·2% [16·9-21·3] of all deaths in 2019), followed by tobacco (smoked, second-hand, and chewing), which accounted for 8·71 million (8·12-9·31) deaths (15·4% [14·6-16·2] of all deaths in 2019). The leading Level 2 risk factor for attributable DALYs globally in 2019 was child and maternal malnutrition, which largely affects health in the youngest age groups and accounted for 295 million (253-350) DALYs (11·6% [10·3-13·1] of all global DALYs that year). The risk factor burden varied considerably in 2019 between age groups and locations. Among children aged 0-9 years, the three leading detailed risk factors for attributable DALYs were all related to malnutrition. Iron deficiency was the leading risk factor for those aged 10-24 years, alcohol use for those aged 25-49 years, and high systolic blood pressure for those aged 50-74 years and 75 years and older. INTERPRETATION Overall, the record for reducing exposure to harmful risks over the past three decades is poor. Success with reducing smoking and lead exposure through regulatory policy might point the way for a stronger role for public policy on other risks in addition to continued efforts to provide information on risk factor harm to the general public. FUNDING Bill & Melinda Gates Foundation.
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Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950-2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019. Lancet 2020; 396:1160-1203. [PMID: 33069325 PMCID: PMC7566045 DOI: 10.1016/s0140-6736(20)30977-6] [Citation(s) in RCA: 701] [Impact Index Per Article: 175.3] [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: 10/05/2019] [Revised: 03/10/2020] [Accepted: 04/20/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Accurate and up-to-date assessment of demographic metrics is crucial for understanding a wide range of social, economic, and public health issues that affect populations worldwide. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 produced updated and comprehensive demographic assessments of the key indicators of fertility, mortality, migration, and population for 204 countries and territories and selected subnational locations from 1950 to 2019. METHODS 8078 country-years of vital registration and sample registration data, 938 surveys, 349 censuses, and 238 other sources were identified and used to estimate age-specific fertility. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate age-specific fertility rates for 5-year age groups between ages 15 and 49 years. With extensions to age groups 10-14 and 50-54 years, the total fertility rate (TFR) was then aggregated using the estimated age-specific fertility between ages 10 and 54 years. 7417 sources were used for under-5 mortality estimation and 7355 for adult mortality. ST-GPR was used to synthesise data sources after correction for known biases. Adult mortality was measured as the probability of death between ages 15 and 60 years based on vital registration, sample registration, and sibling histories, and was also estimated using ST-GPR. HIV-free life tables were then estimated using estimates of under-5 and adult mortality rates using a relational model life table system created for GBD, which closely tracks observed age-specific mortality rates from complete vital registration when available. Independent estimates of HIV-specific mortality generated by an epidemiological analysis of HIV prevalence surveys and antenatal clinic serosurveillance and other sources were incorporated into the estimates in countries with large epidemics. Annual and single-year age estimates of net migration and population for each country and territory were generated using a Bayesian hierarchical cohort component model that analysed estimated age-specific fertility and mortality rates along with 1250 censuses and 747 population registry years. We classified location-years into seven categories on the basis of the natural rate of increase in population (calculated by subtracting the crude death rate from the crude birth rate) and the net migration rate. We computed healthy life expectancy (HALE) using years lived with disability (YLDs) per capita, life tables, and standard demographic methods. Uncertainty was propagated throughout the demographic estimation process, including fertility, mortality, and population, with 1000 draw-level estimates produced for each metric. FINDINGS The global TFR decreased from 2·72 (95% uncertainty interval [UI] 2·66-2·79) in 2000 to 2·31 (2·17-2·46) in 2019. Global annual livebirths increased from 134·5 million (131·5-137·8) in 2000 to a peak of 139·6 million (133·0-146·9) in 2016. Global livebirths then declined to 135·3 million (127·2-144·1) in 2019. Of the 204 countries and territories included in this study, in 2019, 102 had a TFR lower than 2·1, which is considered a good approximation of replacement-level fertility. All countries in sub-Saharan Africa had TFRs above replacement level in 2019 and accounted for 27·1% (95% UI 26·4-27·8) of global livebirths. Global life expectancy at birth increased from 67·2 years (95% UI 66·8-67·6) in 2000 to 73·5 years (72·8-74·3) in 2019. The total number of deaths increased from 50·7 million (49·5-51·9) in 2000 to 56·5 million (53·7-59·2) in 2019. Under-5 deaths declined from 9·6 million (9·1-10·3) in 2000 to 5·0 million (4·3-6·0) in 2019. Global population increased by 25·7%, from 6·2 billion (6·0-6·3) in 2000 to 7·7 billion (7·5-8·0) in 2019. In 2019, 34 countries had negative natural rates of increase; in 17 of these, the population declined because immigration was not sufficient to counteract the negative rate of decline. Globally, HALE increased from 58·6 years (56·1-60·8) in 2000 to 63·5 years (60·8-66·1) in 2019. HALE increased in 202 of 204 countries and territories between 2000 and 2019. INTERPRETATION Over the past 20 years, fertility rates have been dropping steadily and life expectancy has been increasing, with few exceptions. Much of this change follows historical patterns linking social and economic determinants, such as those captured by the GBD Socio-demographic Index, with demographic outcomes. More recently, several countries have experienced a combination of low fertility and stagnating improvement in mortality rates, pushing more populations into the late stages of the demographic transition. Tracking demographic change and the emergence of new patterns will be essential for global health monitoring. FUNDING Bill & Melinda Gates Foundation.
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Jaafari J, Naddafi K, Yunesian M, Nabizadeh R, Hassanvand MS, Shamsipour M, Ghozikali MG, Shamsollahi HR, Nazmara S, Yaghmaeian K. The acute effects of short term exposure to particulate matter from natural and anthropogenic sources on inflammation and coagulation markers in healthy young adults. Sci Total Environ 2020; 735:139417. [PMID: 32498012 DOI: 10.1016/j.scitotenv.2020.139417] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [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: 03/02/2020] [Revised: 04/24/2020] [Accepted: 05/11/2020] [Indexed: 05/13/2023]
Abstract
Airborne particulate matter is associated with increasing the risk of cardiovascular diseases. The purpose of this study was to investigate the association between air pollution conditions and MDA, vWF, and fibrinogen markers in the blood of two panels of healthy young individuals in an urban area in Tehran city with a high air pollution background and another group was living in a rural area (Ahmad Abad Mostofi), with a low air pollution background. In each group, 4 blood samples were taken as follows: one in inversion days, the second in winter, but during the existence of normal condition in terms of air pollution, the third sample in the spring during the normal condition in terms of air pollution and the fourth sample during the dust storm conditions. In the urban and rural groups, there was a significant difference between the concentration of MDA, vWF, fibrinogen between inversion and cold season control conditions, and between dust storm conditions and warm season control conditions (p < 0.05). The results showed that the association of dust storm condition on the measured biomarkers was stronger than the inversion condition, which health consideration in the dust conditions be taken into account similar to the inversion conditions.
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Affiliation(s)
- Jalil Jaafari
- Research Center of Health and Environment, Guilan University of Medical Sciences, Rasht, Iran; Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Kazem Naddafi
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran; Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
| | - Masud Yunesian
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran; Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran; Department of Research Methodology and Data Analysis, Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran.
| | - Ramin Nabizadeh
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran; Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Sadegh Hassanvand
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran.
| | - Mansour Shamsipour
- Department of Research Methodology and Data Analysis, Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
| | | | - Hamid Reza Shamsollahi
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Shahrokh Nazmara
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Kamyar Yaghmaeian
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran; Center for Solid Waste Research, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran.
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Shamsollahi HR, Ghoochani M, Jaafari J, Moosavi A, Sillanpää M, Alimohammadi M. Environmental exposure to endotoxin and its health outcomes: A systematic review. Ecotoxicol Environ Saf 2019; 174:236-244. [PMID: 30831472 DOI: 10.1016/j.ecoenv.2019.02.046] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [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: 08/31/2018] [Revised: 02/11/2019] [Accepted: 02/13/2019] [Indexed: 06/09/2023]
Abstract
Exposure to endotoxin occurs environmentally and occupationally. There are several differences between them in terms of the variety and severity of health outcomes, possible exposed groups and type and route of exposure. Occupational exposures caused adverse health outcomes in almost all cases, but there is disparity in the incidence of significant health outcomes due to environmental exposure to endotoxin. This study has therefore endeavoured to investigate health outcomes from environmental exposure to endotoxin. A systematic review was conducted of three databases and non-occupational studies reporting the environmental concentration of endotoxin, and observed health outcomes in exposed groups were included in the review (n = 27). The studies showed that first exposure to endotoxin occurs in infancy by the inhalation route. Inhalation is the only exposure route that can induce inflammation as the main symptom of exposure to endotoxin. The studies included were conducted using four approaches: molecular immunology, measurement of lung volumes, clinical sensitisation test and diagnosis of asthmatic and respiratory symptoms such as wheezing. By the immunological approach, all the included studies reported that environmental exposure to endotoxin, especially at a younger age, has a protective effect on the incidence of asthma in adolescence. The main disparity observed was in studies using the approach of diagnosed asthma. Overall, however, they confirm the protective effect of exposure to endotoxin although, in the case of children with non-atopic asthma, the results could be different.
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Affiliation(s)
- Hamid Reza Shamsollahi
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
| | - Mahboobeh Ghoochani
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
| | - Jalil Jaafari
- Department of Environmental Health Engineering, School of Health, Guilan University of Medical Sciences, Rasht, Iran.
| | - Azam Moosavi
- Department of Biochemistry, School of Medicine, Alborz University of Medical Sciences, Alborz, Iran.
| | - Mika Sillanpää
- Laboratory of Green Chemistry, School of Engineering Science, Lappeenranta University of Technology, Sammonkatu 12, Mikkeli, Finland.
| | - Mahmood Alimohammadi
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran; Center for Water Quality Research (CWQI), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran; Health Equity Research Center (HERC), Tehran University of Medical Sciences, Tehran, Iran.
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Jaafari J, Yaghmaeian K. Optimization of heavy metal biosorption onto freshwater algae (Chlorella coloniales) using response surface methodology (RSM). Chemosphere 2019; 217:447-455. [PMID: 30439657 DOI: 10.1016/j.chemosphere.2018.10.205] [Citation(s) in RCA: 93] [Impact Index Per Article: 18.6] [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: 06/10/2018] [Revised: 10/19/2018] [Accepted: 10/29/2018] [Indexed: 05/24/2023]
Abstract
In this study, the interaction of the initial metal concentration, time of reaction and Chlorella coloniales algae dose were taken for the biosorption of Cr, Cd, Co, Fe and As from aqueous solutions using the Box-Behnken design. The regression equation coefficients were calculated and the data confirmed the validity of second-order polynomial equation for the removal of Cr, Cd, Co, Fe and As with Chlorella coloniales algae. Analysis of variance (ANOVA) showed a high coefficient of determination value (R2) for Cr, Cd, Co, Fe, and As, being respectively 0.998, 0.998, 0.995, 0.998 and 0.994. Heavy metal biosorption increased with the increase in time of reaction from 30 h to 100 h then smoothly steadily decreased. The biosorption capacity of Chlorella coloniales increased when initial Cd concentration was increased from 5 to 12 mg/L, and then no change was seen with further increasing in initial Cd concentration. At low concentrations of heavy metal, Chlorella coloniales showed its effectiveness for Cr, Co, Fe and As bioaccumulation, but at high concentrations of heavy metal bioaccumulation efficiency decreased Under optimal value of process parameters, maximum efficiencies for the removal of Cr, Cd, Co, Fe, and As were 97.8, 97.05, 95.15, 98.6 and 96.5% respectively. The results of the present study suggest that use of C. Coloniales algae can be a good alternative to the current expensive methods of removing heavy metals from aqueous solution.
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Affiliation(s)
- Jalil Jaafari
- Department of Environmental Health, School of Health, Guilan University of Medical Sciences, Rasht, Iran.
| | - Kamyar Yaghmaeian
- Department of Environmental Health, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran; Center for Solid Waste Research, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran.
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Dehghan A, Zarei A, Jaafari J, Shams M, Mousavi Khaneghah A. Tetracycline removal from aqueous solutions using zeolitic imidazolate frameworks with different morphologies: A mathematical modeling. Chemosphere 2019; 217:250-260. [PMID: 30419379 DOI: 10.1016/j.chemosphere.2018.10.166] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [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: 08/17/2018] [Revised: 10/20/2018] [Accepted: 10/23/2018] [Indexed: 06/09/2023]
Abstract
Concerns about environment pollution by antibiotics raised notable attention. In this context, metal-organic frameworks (MOFs) can produce an excellent platform for toxicant removal from water environments. In the current investigation, eight MOFs (ZIF-67-NO3, ZIF-67-Cl, ZIF-67-SO4, ZIF-67-OAC, ZIF-8-Octahedron, ZIF-8-Leaf, ZIF-8-Cuboid, and ZIF-8-Cube) with different chemical and textural compositions were synthesized, and furthermore, the adsorption of Tetracycline (TC) by them was evaluated. Also, the key experimental conditions were modeled using response surface methodology (RSM). Among the prepared MOFs, the highest tendency for TC removal was nominated to ZIF-67- Acetate (ZIF-67-OAC). By model optimization approach, the optimum system conditions as contact time, adsorbent dosage, pH and adsorbed antibiotic concentration were reported as 26.8 min, 0.63 g/L, 5.9, and 74.6 mg/L, respectively. The proposed equilibrium model showed that the TC accumulated on ZIF-67-OAC surface is reversible in multilayer with the highest monolayer capacity of 446.9 mg/g. Furthermore, based on separation factor (KL), TC adsorption is more favorable at a higher amount of MOFs added. Moreover, according to the fitted kinetic model, the process was controlled by chemisorption. ZIF-67-OAC shows excellent structural stability during mechanical agitation in an aqueous environment, and the TC removal capacities of regenerated adsorbent did not change considerably at the end of cycle 4 compared to the first cycle. Considering the findings among the examined MOFs, the ZIF-67-OAC can be approached as a promising adsorbent for the removal of antibiotics from aqueous environments.
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Affiliation(s)
- Aliakbar Dehghan
- Social Determinants of Health research center, Mashhad University of Medical Sciences, Mashhad, Iran; Department of Environmental Health Engineering, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Ahmad Zarei
- Department of Environmental Health Engineering, School of Health, Gonabad University of Medical Sciences, Gonabad, Iran
| | - Jalil Jaafari
- School of Health, Guilan University of Medical Sciences, Rasht, Iran; Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahmoud Shams
- Social Determinants of Health research center, Mashhad University of Medical Sciences, Mashhad, Iran; Department of Environmental Health Engineering, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
| | - Amin Mousavi Khaneghah
- Department of Food Science, Faculty of Food Engineering, University of Campinas (UNICAMP), Rua Monteiro Lobato, 80, Caixa Postal: 6121, CEP: 13083-862, Campinas, São Paulo, Brazil; Department of Technology of Chemistry, Azerbaijan State Oil and Industry University, 16/21 Azadliq Ave, Baku, Azerbaijan.
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Naghipour D, Chenari MA, Taheri N, Naghipour F, Mehrabian F, Attarchi MS, Jaafari J, Roubakhsh E. The concentration data of heavy metals in vegetables of Guilan province, Iran. Data Brief 2018; 21:1704-1708. [PMID: 30505904 PMCID: PMC6249516 DOI: 10.1016/j.dib.2018.10.114] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [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: 01/28/2018] [Revised: 10/22/2018] [Accepted: 10/23/2018] [Indexed: 01/26/2023] Open
Abstract
Food safety is a major problem currently facing the world and food consumption has been identified as the major pathway for human exposure to hazardous pollutants such as heavy metals. These datasets include the concentration of heavy metals like Cd, Pb, Cu, Ba, Co and Sn in selected vegetables in Guilan province and estimate daily intake of metals. The results of this dataset showed that the average concentration of heavy metals including Cd, Pb, Cu, Ba, Co and Sn in total vegetables were 0.55, 1.098, 4.095, 5.98, 0.69, and 0.2 mg/kg, respectively. The mint showed higher levels of Pb, Cu and Co contamination compared to other vegetables. The estimated daily intakes of Cd, Pb, Cu, Ba, Co and Sn for children were 0.311, 0.622, 2.320, 3.388, 0.391, 0.119 µg/day, whereas for adults were 0.182, 0.363, 1.357, 1.98, 0.228, 0.069 mg/kg, respectively. The present data highlights that both adults and children consuming vegetables ingest significant amount of these metals.
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Affiliation(s)
- Dariush Naghipour
- School of Public Health, Guilan University of Medical Sciences, Rasht, Iran
| | | | - Navid Taheri
- School of Public Health, Guilan University of Medical Sciences, Rasht, Iran
| | - Fatemeh Naghipour
- School of Public Health, Guilan University of Medical Sciences, Rasht, Iran
| | - Fardin Mehrabian
- School of Public Health, Guilan University of Medical Sciences, Rasht, Iran
| | | | - Jalil Jaafari
- School of Public Health, Guilan University of Medical Sciences, Rasht, Iran.,Department of Environmental Health, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Esmail Roubakhsh
- School of Public Health, Guilan University of Medical Sciences, Rasht, Iran
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Ghozikali MG, Ansarin K, Naddafi K, Nodehi RN, Yaghmaeian K, Hassanvand MS, Kashani H, Jaafari J, Atafar Z, Faraji M, Ghanbarian M, Rezaei S, Seyedrezazadeh E, Goudarzi G, Yunesian M. Short-term effects of particle size fractions on lung function of late adolescents. Environ Sci Pollut Res Int 2018; 25:21822-21832. [PMID: 29796884 DOI: 10.1007/s11356-018-2264-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [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: 03/21/2018] [Accepted: 05/07/2018] [Indexed: 06/08/2023]
Abstract
Although ambient air pollution has been linked to reduced lung function in healthy students, longitudinal studies that compare the response of asthmatic and healthy adolescents are lacking. To evaluate lung function responses to short-term ambient air particulate matter (PM10, PM2.5, and PM1) levels, we conducted a study on high school students aged 15-18 years. The aim of this study was to assess effects of acute exposure to ambient air particulate matter (PM) on lung function in healthy and asthmatic late adolescents. We examined associations of lung function indices and ambient PM levels in 23 asthmatic and 23 healthy students. Paired-samples T test was used to evaluate the association of exposure to airborne PM concentrations with lung function test results (FVC, FEV1, FEV1/FVC, and FEF25-75). We observed negative impact of exposure to an increased concentration of ambient air PM10, PM2.5, and PM1 on lung function parameters of asthmatic and healthy late adolescents. These findings are consistent with other similar short-term studies which have confirmed the adverse effect of PM air pollution. These associations were stronger in asthmatic subjects compared with those in healthy ones. There are significant adverse effects of ambient air PM on pulmonary function of adolescents, especially asthmatics.
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Affiliation(s)
- Mohammad Ghanbari Ghozikali
- Health and Environment Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
- Tuberculosis and Lung Disease Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Khalil Ansarin
- Tuberculosis and Lung Disease Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Kazem Naddafi
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
| | - Ramin Nabizadeh Nodehi
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
| | - Kamyar Yaghmaeian
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Sadegh Hassanvand
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
| | - Homa Kashani
- Research Methodology and Data Analysis Department, Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
| | - Jalil Jaafari
- School of Health, Guilan University of Medical Sciences, Rasht, Iran
| | - Zahra Atafar
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
| | - Maryam Faraji
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
| | - Maryam Ghanbarian
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Soheila Rezaei
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
| | - Ensiyeh Seyedrezazadeh
- Tuberculosis and Lung Disease Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Gholamreza Goudarzi
- Department of Environmental Health Engineering, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Masud Yunesian
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
- Research Methodology and Data Analysis Department, Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran.
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Naghipour D, Hoseinzadeh L, Taghavi K, Jaafari J. Characterization, kinetic, thermodynamic and isotherm data for diclofenac removal from aqueous solution by activated carbon derived from pine tree. Data Brief 2018; 18:1082-1087. [PMID: 29900278 PMCID: PMC5996302 DOI: 10.1016/j.dib.2018.03.068] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [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: 01/04/2018] [Revised: 03/08/2018] [Accepted: 03/16/2018] [Indexed: 12/07/2022] Open
Abstract
The usage of low cost material as adsorbent would be admirable from environmental point of view. Thus, herein, this data set present a simple method for providing an adsorbent from activated carbon derived from pine tree. The prepared adsorbent was applied to remove diclofenac from aqueous solution. The characterization data of the adsorbent was analyzed using FTIR method. The FTIR test results showed that adsorbent has a functional group that is useful in adsorption process. It was conducted in laboratory scale and the adsorption technique was batch technique. The information regarding isotherms of diclofenac adsorption were listed. The Langmuir isotherm was suitable for correlation of equilibrium data with correlation coefficient value of 0.999. Adsorption of diclofenac by adsorbent from activated carbon follows pseudo second order model with correlation coefficient value (R2) of 0.9997. The data implied that the maximum adsorption capacity of adsorbent to uptake diclofenac from aqueous solution was obtained 54.67 mg/g. The acquired data indicated that the adsorption of diclofenac by the adsorbent prepared from activated carbon derived from pine tree is a promising technique for treating diclofenac bearing wastewaters.
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Affiliation(s)
- Dariush Naghipour
- School of Public Health, Guilan University of Medical Sciences, Rasht, Iran
| | | | - Kamran Taghavi
- School of Public Health, Guilan University of Medical Sciences, Rasht, Iran
| | - Jalil Jaafari
- School of Public Health, Guilan University of Medical Sciences, Rasht, Iran.,Department of Environmental health engineering, School of Public Health, Tehran University of medical sciences, Tehran, Iran
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Jaafari J, Ghozikali MG, Azari A, Delkhosh MB, Javid AB, Mohammadi AA, Agarwal S, Gupta VK, Sillanpää M, Tkachev AG, Burakov AE. Adsorption of p -Cresol on Al 2 O 3 coated multi-walled carbon nanotubes: Response surface methodology and isotherm study. J IND ENG CHEM 2018. [DOI: 10.1016/j.jiec.2017.08.048] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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Naghipour D, Jaafari J, Ashrafi SD, Mahvi AH. Remediation of Heavy Metals Contaminated Silty Clay Loam Soil by Column Extraction with Ethylenediaminetetraacetic Acid and Nitrilo Triacetic Acid. J Environ Eng 2017. [DOI: 10.1061/(asce)ee.1943-7870.0001219] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Dariush Naghipour
- Assistant Professor, School of Health, Guilan Univ. of Medical Sciences, Rasht, Iran
| | - Jalil Jaafari
- Postgraduate Student, School of Health, Guilan Univ. of Medical Sciences, Rasht, Iran
| | - Seyed Davoud Ashrafi
- Assistant Professor, School of Health, Guilan Univ. of Medical Sciences, Rasht, Iran; Postgraduate Student, Research Center of Health and Environment, Guilan Univ. of Medical Sciences, Rasht, Iran
| | - Amir Hossein Mahvi
- Assistant Professor, School of Public Health, Tehran Univ. of Medical Sciences, Tehran, Iran; Center for Solid Waste Research, Institute for Environmental Research, Tehran Univ. of Medical Sciences, Tehran, Iran; National Institute of Health Research, Tehran Univ. of Medical Sciences, Tehran, Iran (corresponding author)
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Kamani H, Mahvi AH, Seyedsalehi M, Jaafari J, Hoseini M, Safari GH, Dalvand A, Aslani H, Mirzaei N, Ashrafi SD. Contamination and ecological risk assessment of heavy metals in street dust of Tehran, Iran. Int J Environ Sci Technol 2017. [DOI: 10.1007/s13762-017-1327-x] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/07/2022]
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Agarwal S, Tyagi I, Gupta VK, Dehghani M, Jaafari J, Balarak D, M. Asif. Rapid removal of noxious nickel (II) using novel γ-alumina nanoparticles and multiwalled carbon nanotubes: Kinetic and isotherm studies. J Mol Liq 2016. [DOI: 10.1016/j.molliq.2016.10.032] [Citation(s) in RCA: 60] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2022]
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Fakhri Heravi MR, Mesdaghinia A, Gharibi H, Jaafari J, Hossein A. Performance evaluation of sulfate reducing bacteria in removing lead, chromium and nickel by anaerobic packed bed reactor. dwt 2016. [DOI: 10.5004/dwt.2016.1743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/07/2022]
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Naghipour D, Taghavi K, Jaafari J, Mahdavi Y, Ghanbari Ghozikali M, Ameri R, Jamshidi A, Hossein Mahvi A. Statistical modeling and optimization of the phosphorus biosorption by modified Lemna minor from aqueous solution using response surface methodology (RSM). Desalination and Water Treatment 2015. [DOI: 10.1080/19443994.2015.1100555] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/07/2022]
Affiliation(s)
- Dariush Naghipour
- School of Public Health, Guilan University of Medical Sciences, Rasht, Iran, Tel. ; Fax:
| | - Kamran Taghavi
- School of Public Health, Guilan University of Medical Sciences, Rasht, Iran, Tel. ; Fax:
| | - Jalil Jaafari
- School of Public Health and Institute of Public Health Research, Tehran University of Medical Sciences, Tehran, Iran, Tel
| | - Yousef Mahdavi
- Faculty of Health, Department of Environmental Health Engineering, Health Sciences Research Center, Mazandaran University of Medical Sciences, Sari, Iran, Tel. ; Fax:
| | - Mohammad Ghanbari Ghozikali
- Tabriz Health Services Management Research Center, Department of Environmental Health Engineering, East Azerbaijan Province Health Center, Tabriz University of Medical Sciences, Tabriz, Iran, Tel. ; Fax:
| | - Reza Ameri
- Department of Environmental Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran, Tel. ; Fax:
| | - Arsalan Jamshidi
- Department of Environmental Health Engineering, School of Public Health, Yasuj University of Medical Sciences, Yasuj, Iran
| | - Amir Hossein Mahvi
- School of Public Health and Institute of Public Health Research, Tehran University of Medical Sciences, Tehran, Iran, Tel
- Center for Solid Waste Research, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran
- National Institute of Health Research, Tehran University of Medical Sciences, Tehran, Iran, Tel. ; Fax:
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Ashrafi SD, Kamani H, Jaafari J, Mahvi AH. Experimental design and response surface modeling for optimization of fluoroquinolone removal from aqueous solution by NaOH-modified rice husk. Desalination and Water Treatment 2015. [DOI: 10.1080/19443994.2015.1080188] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/07/2022]
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37
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Yaghmaeian K, Jaafarzadeh N, Nabizadeh R, Dastforoushan G, Jaafari J. CFD modeling of incinerator to increase PCBs removal from outlet gas. J Environ Health Sci Eng 2015; 13:60. [PMID: 26269746 PMCID: PMC4534144 DOI: 10.1186/s40201-015-0212-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/03/2015] [Accepted: 07/21/2015] [Indexed: 06/04/2023]
Abstract
Incineration of persistent organic pollutants (POPs) is an important alternative way for disposal of this type of hazardous waste. PCBs are very stable compounds and do not decompose readily. Individuals can be exposed to PCBs through several ways and damaged by their effects. A well design of a waste incinerator will convert these components to unharmfull materials. In this paper we have studied the design parameters of an incinerator with numerical approaches. The CFD software Fluent 6.3 is used for modelling of an incinerator. The effects of several baffles inside the incinerator on flow distribution and heat is investigated. The results show that baffles can reduce eddy flows, increase retaining times, and efficiencies. The baffles reduced cool areas and increased efficiencies of heat as maximum temperature in two and three baffle embedded incinerator were 100 and 200 °C higher than the non-baffle case, respectively. Also the gas emission leaves the incinerator with a lower speed across a longer path and the turbulent flow in the incinerator is stronger.
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Affiliation(s)
- Kamyar Yaghmaeian
- />Department of Environmental Health, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- />Center for Solid Waste Research, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran
| | - Nematallah Jaafarzadeh
- />Environmental Technologies Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Ramin Nabizadeh
- />Department of Environmental Health, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- />Center for Solid Waste Research, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Jalil Jaafari
- />Department of Environmental Health, School of Public Health, Guilan University of Medical Sciences, Rasht, Iran
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Esfandyari Y, Mahdavi Y, Seyedsalehi M, Hoseini M, Safari GH, Ghozikali MG, Kamani H, Jaafari J. Degradation and biodegradability improvement of the olive mill wastewater by peroxi-electrocoagulation/electrooxidation-electroflotation process with bipolar aluminum electrodes. Environ Sci Pollut Res Int 2015; 22:6288-6297. [PMID: 25408073 DOI: 10.1007/s11356-014-3832-5] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2014] [Accepted: 11/09/2014] [Indexed: 06/04/2023]
Abstract
Olive mill wastewater is considered as one of the most polluting effluents of the food industry and constitutes a source of important environmental problems. In this study, the removal of pollutants (chemical oxygen demand (COD), biochemical oxygen demand (BOD5), polyphenols, turbidity, color, total suspended solids (TSS), and oil and grease) from olive oil mill processing wastewater by peroxi-electrocoagulation/electrooxidation-electroflotation process with bipolar aluminum electrodes was evaluated using a pilot continuous reactor. In the electrochemical unit, aluminum (Al), stainless steel, and RuO2/Ti plates were used. The effects of pH, hydrogen peroxide doses, current density, NaCl concentrations, and reaction times were studied. Under optimal conditions of pH 4, current density of 40 mA/m(2), 1000 mg/L H2O2, 1 g/L NaCl, and 30-min reaction time, the peroxi-electrochemical method yielded very effective removal of organic pollution from the olive mill wastewater diluted four times. The treatment process reduced COD by 96%, BOD5 by 93.6%, total, polyphenols by 94.4%, color by 91.4%, turbidity by 88.7, suspended solids by 97% and oil and grease by 97.1%. The biodegradability index (BOD5/COD) increased from 0.29 to 0.46. Therefore, the peroxi-electrocoagulation/electrooxidation-electroflotation process is considered as an effective and feasible process for pre-treating olive mill wastewater, making possible a post-treatment of the effluent in a biological system.
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Affiliation(s)
- Yahya Esfandyari
- Department of Environmental Health Engineering, Health Sciences Research Center, Faculty of Health, Mazandaran University of Medical Sciences, Sari, Iran,
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Ghozikali MG, Mosaferi M, Safari GH, Jaafari J. Effect of exposure to O₃ , NO₂, and SO₂ on chronic obstructive pulmonary disease hospitalizations in Tabriz, Iran. Environ Sci Pollut Res Int 2015; 22:2817-23. [PMID: 25217280 DOI: 10.1007/s11356-014-3512-5] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2014] [Accepted: 08/24/2014] [Indexed: 05/28/2023]
Abstract
Air pollution in cities is a serious environmental problem especially in the developing countries. We examined the associations between gaseous pollutants and hospitalizations for chronic obstructive pulmonary diseases (COPD) among people living in Tabriz, a city in north western of Iran. We used the approach proposed by the World Health Organization (WHO) using the AirQ 2.2.3 software developed by the WHO European Center for Environment and Health, Bilthoven Division. To assess human exposure and health effect, data were used for ozone as a1h average; for nitrogen dioxide and sulfur dioxide as daily average concentrations. The association between air pollution and chronic obstructive pulmonary disease (COPD) was assessed using AirQ 2.2.3 model. The results of this study showed that 3 % (95 % CI 1.2-4.8 %) of HA COPD were attributed to O3 concentrations over 10 μg/m(3). Also, 0.9 % (95 % CI 0.1-2.2 %) and 0.4 % (95 % CI 0-1.1 %) of HA COPD were attributed to NO2 and SO2 concentrations over 10 μg/m(3), respectively. For every 10 μg/m(3) increase in O3, NO2, and SO2 concentrations, the risk of HA COPD increase to about 0.58, 0.38, and 0.44 %, respectively. We found significant positive associations between the levels of all air pollution and hospital admissions COPD. Otherwise, O3, NO2, and SO2 have a significant impact on COPD hospitalization.
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Affiliation(s)
- Mohammad Ghanbari Ghozikali
- Environmental Health Department of East Azerbaijan Province Health Center, Tabriz University of Medical Sciences, Tabriz, Iran,
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Kamani H, Ashrafi SD, Isazadeh S, Jaafari J, Hoseini M, Mostafapour FK, Bazrafshan E, Nazmara S, Mahvi AH. Heavy Metal Contamination in Street Dusts with Various Land Uses in Zahedan, Iran. Bull Environ Contam Toxicol 2015; 94:382-6. [PMID: 25573278 DOI: 10.1007/s00128-014-1453-9] [Citation(s) in RCA: 90] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2014] [Accepted: 12/26/2014] [Indexed: 12/07/2022]
Affiliation(s)
- Hossein Kamani
- Health Promotion Research Center, Zahedan University of Medical Sciences, Zahedan, Iran
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Jaafari J, Mesdaghinia A, Nabizadeh R, Hoseini M, kamani H, Mahvi AH. Influence of upflow velocity on performance and biofilm characteristics of Anaerobic Fluidized Bed Reactor (AFBR) in treating high-strength wastewater. J Environ Health Sci Eng 2014; 12:139. [PMID: 25485140 PMCID: PMC4256795 DOI: 10.1186/s40201-014-0139-x] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/25/2014] [Accepted: 10/29/2014] [Indexed: 12/07/2022]
Abstract
One of the key parameters in Fluidized Bed reactors is the control of biofilm thickness and configuration. The effect of upflow velocity on performance and biofilm characteristics of an Anaerobic Fluidized Bed Reactor was studied in treating Currant wastewater at various loading rates. The reactor used this study was made of a plexiglass column being 60 mm diameter, 140 cm height, and a volume of 3.95 L. The results demonstrated that the AFBR system is capable of handling an exceptionally high organic loading rate. At organic loading rates of 9.4 to 24.2 (kg COD m(-3)) at steady state, reactor performances with upflow velocities of 0.5, 0.75 and 1 (m min(-1)) were 89.3- 63.4, 96.9 - 79.6 and 95 - 73.4 percent, respectively. The average biomass concentration per unit volume of the AFBR (as gVSSatt L(-1) expended bed) decreased with the increase of upflow velocity in the range of 0.5-1 m min(-1) at all applied organic loading rates. The total biomass in the reactor increased with increases in the organic loading rate. The peak biomass concentration per unit volume (as gVSSatt L(-1) expended bed) was observed at the bottom part of the reactor, then it droped off slowly towards the top. The biofilm thickness increased from the bottom to the top of the reactor representing a stratification of the media in the AFBR. The bed porosity increased from the bottom to the top of the reactor.
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Affiliation(s)
- Jalil Jaafari
- />School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Alireza Mesdaghinia
- />School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Ramin Nabizadeh
- />School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Hoseini
- />Department of Environmental Health Engineering, School of Public Health, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Hossein kamani
- />Health Promotion Research Center, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Amir Hossein Mahvi
- />School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- />Center for Solid Waste Research, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran
- />National Institute of Health Research, Tehran University of Medical Sciences, Tehran, Iran
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Hassani S, Sepand MR, Jafari A, Jaafari J, Rezaee R, Zeinali M, Tavakoli F, Razavi-Azarkhiavi K. Protective effects of curcumin and vitamin E against chlorpyrifos-induced lung oxidative damage. Hum Exp Toxicol 2014; 34:668-76. [DOI: 10.1177/0960327114550888] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
There are increasing concerns regarding the toxic effects of chlorpyrifos (CPF) on human health. Curcumin (CUR) is a yellow pigment isolated from turmeric ground rhizome of Curcuma longa Linn., which has been identified as an antioxidant agent. This study was designed to examine the protective effect of CUR and vitamin E (Vit E) on CPF-induced lung toxicity. Rats were divided into seven groups: control, CPF (13.5 mg/kg, orally), CPF + CUR (100 and 300 mg/kg, respectively, orally), CPF + α-tocopherol (Vit E, 150 mg/kg, intraperitoneally), CPF and CUR (100 and 300 mg/kg, respectively) in combination with α-tocopherol. The regimens were administered once daily for 28 days. At the end of the treatment period, lungs were collected for evaluation of oxidative factors and histopathological parameters. CUR and Vit E led to a decrease in lipid peroxidation in the lungs of the CPF-injected animals (48% and 51%, respectively). Glutathione peroxidase inhibited by CPF (91.9 nmol/min/mg protein) was induced again by CUR and Vit E (167.1 and 171.8 nmol/min/mg protein). CUR and Vit E caused a significant induction of superoxide dismutase (103.4 U/mg protein). Catalase activity almost returned to normalcy in CPF-intoxicated rats subjected to CUR + Vit E treatment ( p < 0.001). Lung sections from CPF-treated rats displayed histopathological damages, while coadministration of CUR and Vit E resulted in apparently normal morphology with a significant decrease in injuries ( p < 0.05). Our findings revealed that coadministration of Vit E and CUR to CPF-treated animals prevents the oxidative damages in the lung tissues.
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Affiliation(s)
- S Hassani
- Faculty of Pharmacy and Pharmaceutical Sciences Research Centre, Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - MR Sepand
- Department of Toxicology and Pharmacology, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - A Jafari
- Department of Toxicology and Pharmacology, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - J Jaafari
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - R Rezaee
- Student Research Committee, School of Pharmacy, Mashhad University of Medical Sciences (MUMS), Mashhad, Islamic Republic of Iran
| | - M Zeinali
- Social Security Organization, Mashhad, Islamic Republic of Iran
- Department of Pharmacodynamics and Toxicology, School of Pharmacy, Mashhad University of Medical Sciences (MUMS), Mashhad, Islamic Republic of Iran
| | - F Tavakoli
- Department of Toxicology and Pharmacology, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - K Razavi-Azarkhiavi
- Student Research Committee, School of Pharmacy, Mashhad University of Medical Sciences (MUMS), Mashhad, Islamic Republic of Iran
- Department of Pharmacodynamics and Toxicology, School of Pharmacy, Mashhad University of Medical Sciences (MUMS), Mashhad, Islamic Republic of Iran
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Safari GH, Zarrabi M, Hoseini M, Kamani H, Jaafari J, Mahvi AH. Trends of natural and acid-engineered pumice onto phosphorus ions in aquatic environment: adsorbent preparation, characterization, and kinetic and equilibrium modeling. Desalination and Water Treatment 2014. [DOI: 10.1080/19443994.2014.915385] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/07/2022]
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Kamani H, Hoseini M, Seyedsalehi M, Mahdavi Y, Jaafari J, Safari GH. Concentration and characterization of airborne particles in Tehran's subway system. Environ Sci Pollut Res Int 2014; 21:7319-7328. [PMID: 24573466 DOI: 10.1007/s11356-014-2659-4] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2013] [Accepted: 02/13/2014] [Indexed: 06/03/2023]
Abstract
Particulate matter is an important air pollutant, especially in closed environments like underground subway stations. In this study, a total of 13 elements were determined from PM10 and PM2.5 samples collected at two subway stations (Imam Khomeini and Sadeghiye) in Tehran's subway system. Sampling was conducted in April to August 2011 to measure PM concentrations in platform and adjacent outdoor air of the stations. In the Imam Khomeini station, the average concentrations of PM10 and PM2.5 were 94.4 ± 26.3 and 52.3 ± 16.5 μg m(-3) in the platform and 81.8 ± 22.2 and 35 ± 17.6 μg m(-3) in the outdoor air, respectively. In the Sadeghiye station, mean concentrations of PM10 and PM2.5 were 87.6 ± 23 and 41.3 ± 20.4 μg m(-3) in the platform and 73.9 ± 17.3 and 30 ± 15 μg m(-3), in the outdoor air, respectively. The relative contribution of elemental components in each particle fraction were accounted for 43% (PM10) and 47.7% (PM2.5) in platform of Imam Khomeini station and 15.9% (PM10) and 18.5% (PM2.5) in the outdoor air of this station. Also, at the Sadeghiye station, each fraction accounted for 31.6% (PM10) and 39.8% (PM2.5) in platform and was 11.7% (PM10) and 14.3% (PM2.5) in the outdoor. At the Imam Khomeini station, Fe was the predominant element to represent 32.4 and 36 % of the total mass of PM10 and PM2.5 in the platform and 11.5 and 13.3% in the outdoor, respectively. At the Sadeghiye station, this element represented 22.7 and 29.8% of total mass of PM10 and PM2.5 in the platform and 8.7 and 10.5% in the outdoor air, respectively. Other major crustal elements were 5.8% (PM10) and 5.3% (PM2.5) in the Imam Khomeini station platform and 2.3 and 2.4% in the outdoor air, respectively. The proportion of other minor elements was significantly lower, actually less than 7% in total samples, and V was the minor concentration in total mass of PM10 and PM2.5 in both platform stations.
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Affiliation(s)
- Hosein Kamani
- Health Promotion Research Center, Zahedan University of Medical Sciences, Zahedan, Iran,
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Hoseini M, Safari GH, Kamani H, Jaafari J, Ghanbarain M, Mahvi AH. Sonocatalytic degradation of tetracycline antibiotic in aqueous solution by sonocatalysis. Toxicological & Environmental Chemistry 2014. [DOI: 10.1080/02772248.2014.901328] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/07/2022]
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47
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Kamani H, Hoseini M, Safari GH, Jaafari J, Mahvi AH. Study of trace elements in wet atmospheric precipitation in Tehran, Iran. Environ Monit Assess 2014; 186:5059-67. [PMID: 24718928 DOI: 10.1007/s10661-014-3759-9] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2013] [Accepted: 03/21/2014] [Indexed: 12/07/2022]
Abstract
In this study, measurements of the trace metals Zn, Cd, Cr, Ni, Pb, Cu, Fe and Al were performed on 53 wet atmospheric precipitation samples (snow and rainwater) collected at a central site of Tehran. Samples were collected using a bulk sampler equipped with a high-density polyethylene funnel from November to May in 2011 and 2012 on the roof of a building in the city centre. Trace metals in the filtered samples were measured with ICP-MS. Statistical analysis of the results revealed that Al, which is principally a crustal-derived element, was the highest mean measured concentration. The pH ranged from 4.2 to 7.1 with a mean value of 5.1. Crustal enrichment factors (EFc) related to the relative abundance of elements in crustal material was calculated using Al as reference crustal. EFc calculations indicated that samples were not enriched with Fe and Cr but were, fairly to extremely, enriched with Zn, Cd, Ni, Pb and Cu. Factor component analysis with varimax-normalized rotation was conducted to find the probable sources of the measured species. This resulted in two factors with eigenvalues greater than unity. Factor 1 showed an anthropogenic source, mostly industrial combustion and local traffic emissions, for Zn, Cd, Ni, Pb, and Cu while factor 2 showed a crustal contribution for Al, Fe and Cr.
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Affiliation(s)
- Hossein Kamani
- Health Promotion Research Center, Zahedan University of Medical Sciences, Zahedan, Iran
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