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      Ambient Fine Particulate Matter Air Pollution and Risk of Weight Gain and Obesity in United States Veterans: An Observational Cohort Study

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          Abstract

          Background:

          Experimental evidence and studies of children and adolescents suggest that ambient fine particulate matter [particulate matter 2.5 μ m in aerodynamic diameter ( PM 2.5 )] air pollution may be obesogenic, but the relationship between PM 2.5 and the risk of body weight gain and obesity in adults is uncertain.

          Objectives:

          Our goal was to characterize the association between PM 2.5 and the risks of weight gain and obesity.

          Methods:

          We followed 3,902,440 U.S. Veterans from 2010 to 2018 (median 8.1 y, interquartile range: 7.3–8.4) and assigned time-updated PM 2.5 exposures by linking geocoded residential street addresses with satellite-based estimates of surface-level PM 2.5 mass (at 1 -km 2 resolution). Associations with PM 2.5 were estimated using Cox proportional hazards models for incident obesity [body mass index ( BMI ) 30 kg / m 2 ] and a 10 -lb increase in weight relative to baseline and linear mixed models for associations with intra-individual changes in BMI and weight.

          Results:

          A 10 - μ g / m 3 higher average annual PM 2.5 concentration was associated with risk of incident obesity [ n = 2,325,769 ; hazard ratio  ( HR ) = 1.08 (95% CI: 1.06, 1.11)] and the risk of a 10 -lb ( 4.54 kg ) increase in weight [ HR = 1.07 (95% CI: 1.06, 1.08)] and with higher intra-individual changes in BMI [ 0.140 kg / m 2  per year (95% CI: 0.139, 0.142)] and weight [ 0.968  lb / y (95% CI: 0.955, 0.981)]. Nonlinear exposure–response models indicated associations at PM 2.5 concentrations below the national standard of 12 μ g / m 3 . As expected, a negative exposure control (ambient air sodium) was not associated with obesity or weight gain. Associations were consistent in direction and magnitude across sensitivity analyses that included alternative outcomes and exposures assigned at different spatial resolutions.

          Discussion:

          PM 2.5 air pollution was associated with the risk of obesity and weight gain in a large predominantly male cohort of U.S. Veterans. Discussions about health effects of PM 2.5 should include its association with obesity, and deliberations about the epidemiology of obesity should consider its association with PM 2.5 . Investigation in other cohorts will deepen our understanding of the relationship between PM 2.5 and weight gain and obesity. https://doi.org/10.1289/EHP7944

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          Most cited references56

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          Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

          Summary 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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            Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015

            Summary Background Exposure to ambient air pollution increases morbidity and mortality, and is a leading contributor to global disease burden. We explored spatial and temporal trends in mortality and burden of disease attributable to ambient air pollution from 1990 to 2015 at global, regional, and country levels. Methods We estimated global population-weighted mean concentrations of particle mass with aerodynamic diameter less than 2·5 μm (PM2·5) and ozone at an approximate 11 km × 11 km resolution with satellite-based estimates, chemical transport models, and ground-level measurements. Using integrated exposure–response functions for each cause of death, we estimated the relative risk of mortality from ischaemic heart disease, cerebrovascular disease, chronic obstructive pulmonary disease, lung cancer, and lower respiratory infections from epidemiological studies using non-linear exposure–response functions spanning the global range of exposure. Findings Ambient PM2·5 was the fifth-ranking mortality risk factor in 2015. Exposure to PM2·5 caused 4·2 million (95% uncertainty interval [UI] 3·7 million to 4·8 million) deaths and 103·1 million (90·8 million 115·1 million) disability-adjusted life-years (DALYs) in 2015, representing 7·6% of total global deaths and 4·2% of global DALYs, 59% of these in east and south Asia. Deaths attributable to ambient PM2·5 increased from 3·5 million (95% UI 3·0 million to 4·0 million) in 1990 to 4·2 million (3·7 million to 4·8 million) in 2015. Exposure to ozone caused an additional 254 000 (95% UI 97 000–422 000) deaths and a loss of 4·1 million (1·6 million to 6·8 million) DALYs from chronic obstructive pulmonary disease in 2015. Interpretation Ambient air pollution contributed substantially to the global burden of disease in 2015, which increased over the past 25 years, due to population ageing, changes in non-communicable disease rates, and increasing air pollution in low-income and middle-income countries. Modest reductions in burden will occur in the most polluted countries unless PM2·5 values are decreased substantially, but there is potential for substantial health benefits from exposure reduction. Funding Bill & Melinda Gates Foundation and Health Effects Institute.
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              Global estimates of mortality associated with long-term exposure to outdoor fine particulate matter

              Significance Exposure to outdoor concentrations of fine particulate matter is considered a leading global health concern, largely based on estimates of excess deaths using information integrating exposure and risk from several particle sources (outdoor and indoor air pollution and passive/active smoking). Such integration requires strong assumptions about equal toxicity per total inhaled dose. We relax these assumptions to build risk models examining exposure and risk information restricted to cohort studies of outdoor air pollution, now covering much of the global concentration range. Our estimates are severalfold larger than previous calculations, suggesting that outdoor particulate air pollution is an even more important population health risk factor than previously thought.
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                Author and article information

                Journal
                Environ Health Perspect
                Environ Health Perspect
                EHP
                Environmental Health Perspectives
                Environmental Health Perspectives
                0091-6765
                1552-9924
                1 April 2021
                January 2021
                : 129
                : 4
                : 047003
                Affiliations
                [ 1 ]Clinical Epidemiology Center, Research and Development Service, Veterans Affairs Saint Louis Health Care System , Saint Louis, Missouri, USA
                [ 2 ]Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University , Saint Louis, Missouri, USA
                [ 3 ]Veterans Research and Education Foundation of Saint Louis , Saint Louis, Missouri, USA
                [ 4 ]Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine , Saint Louis, Missouri, USA
                [ 5 ]Department of Physics and Atmospheric Science, Dalhousie University , Halifax, Nova Scotia, Canada
                [ 6 ]Department of Energy, Environmental & Chemical Engineering, Washington University in Saint Louis, Saint Louis, Missouri, USA
                [ 7 ]Department of Medicine, Washington University School of Medicine , Saint Louis, Missouri, USA
                [ 8 ]Nephrology Section, Medicine Service, Veterans Affairs Saint Louis Health Care System , Saint Louis, Missouri, USA
                [ 9 ]Institute for Public Health, Washington University in Saint Louis , Saint Louis, Missouri, USA
                Author notes
                Address correspondence to Ziyad Al-Aly, Veterans Affairs Saint Louis Health Care System, 915 North Grand Blvd., 151-JC, Saint Louis, MO 63106 USA. Telephone: (314) 289-6333. Email: zalaly@ 123456gmail.com
                Author information
                https://orcid.org/0000-0002-2600-0434
                Article
                EHP7944
                10.1289/EHP7944
                8016176
                33793302
                b90d5167-c917-406f-ab51-9801af7c22e7

                EHP is an open-access journal published with support from the National Institute of Environmental Health Sciences, National Institutes of Health. All content is public domain unless otherwise noted.

                History
                : 21 July 2020
                : 15 February 2021
                : 18 February 2021
                Categories
                Research

                Public health
                Public health

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