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      Long-term air pollution exposure and markers of cardiometabolic health in the National Longitudinal Study of Adolescent to Adult Health (Add Health)

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          Abstract

          Background:

          Air pollution exposure is associated with cardiovascular morbidity and mortality. Although exposure to air pollution early in life may represent a critical window for development of cardiovascular disease risk factors, few studies have examined associations of long-term air pollution exposure with markers of cardiovascular and metabolic health in young adults.

          Objectives:

          By combining health data from the National Longitudinal Study of Adolescent to Adult Health (Add Health) with air pollution data from the Fused Air Quality Surface using Downscaling (FAQSD) archive, we: (1) calculated multi-year estimates of exposure to ozone (O 3) and particulate matter with an aerodynamic diameter ≤ 2.5 μm (PM 2.5) for Add Health participants; and (2) estimated associations between air pollution exposures and multiple markers of cardiometabolic health.

          Methods:

          Add Health is a nationally representative longitudinal cohort study of over 20,000 adolescents aged 12–19 in the United States (US) in 1994—95 (Wave I). Participants have been followed through adolescence and into adulthood with five in-home interviews. Estimated daily concentrations of O 3 and PM 2.5 at census tracts were obtained from the FAQSD archive and used to generate tract-level annual averages of O 3 and PM 2.5 concentrations. We estimated associations between average O 3 and PM 2.5 exposures from 2002 to 2007 and markers of cardiometabolic health measured at Wave IV (2008–09), including hypertension, hyperlipidemia, body mass index (BMI), diabetes, C-reactive protein, and metabolic syndrome.

          Results:

          The final sample size was 11,259 individual participants. The average age of participants at Wave IV was 28.4 years (range: 24–34 years). In models adjusting for age, race/ethnicity, and sex, long-term O 3 exposure (2002–07) was associated with elevated odds of hypertension, with an odds ratio (OR) of 1.015 (95% confidence interval [CI]: 1.011, 1.029); obesity (1.022 [1.004, 1.040]); diabetes (1.032 [1.009,1.054]); and metabolic syndrome (1.028 [1.014, 1.041]); PM 2.5 exposure (2002–07) was associated with elevated odds of hypertension (1.022 [1.001, 1.045]).

          Conclusion:

          Findings suggest that long-term ambient air pollution exposure, particularly O 3 exposure, is associated with cardiometabolic health in early adulthood.

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          Most cited references84

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          Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity.

          A cluster of risk factors for cardiovascular disease and type 2 diabetes mellitus, which occur together more often than by chance alone, have become known as the metabolic syndrome. The risk factors include raised blood pressure, dyslipidemia (raised triglycerides and lowered high-density lipoprotein cholesterol), raised fasting glucose, and central obesity. Various diagnostic criteria have been proposed by different organizations over the past decade. Most recently, these have come from the International Diabetes Federation and the American Heart Association/National Heart, Lung, and Blood Institute. The main difference concerns the measure for central obesity, with this being an obligatory component in the International Diabetes Federation definition, lower than in the American Heart Association/National Heart, Lung, and Blood Institute criteria, and ethnic specific. The present article represents the outcome of a meeting between several major organizations in an attempt to unify criteria. It was agreed that there should not be an obligatory component, but that waist measurement would continue to be a useful preliminary screening tool. Three abnormal findings out of 5 would qualify a person for the metabolic syndrome. A single set of cut points would be used for all components except waist circumference, for which further work is required. In the interim, national or regional cut points for waist circumference can be used.
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            Chronic inflammation in the etiology of disease across the life span

            Although intermittent increases in inflammation are critical for survival during physical injury and infection, recent research has revealed that certain social, environmental and lifestyle factors can promote systemic chronic inflammation (SCI) that can, in turn, lead to several diseases that collectively represent the leading causes of disability and mortality worldwide, such as cardiovascular disease, cancer, diabetes mellitus, chronic kidney disease, non-alcoholic fatty liver disease and autoimmune and neurodegenerative disorders. In the present Perspective we describe the multi-level mechanisms underlying SCI and several risk factors that promote this health-damaging phenotype, including infections, physical inactivity, poor diet, environmental and industrial toxicants and psychological stress. Furthermore, we suggest potential strategies for advancing the early diagnosis, prevention and treatment of SCI.
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              Longitudinal data analysis using generalized linear models

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                Author and article information

                Journal
                7807270
                22115
                Environ Int
                Environ Int
                Environment international
                0160-4120
                1873-6750
                21 June 2023
                July 2023
                22 May 2023
                22 November 2023
                : 177
                : 107987
                Affiliations
                [a ]Global Health Institute, School of Medicine, Duke University, Durham, NC, USA
                [b ]GenOmics and Translational Research Center, RTI International, Research Triangle Park, NC, USA
                [c ]Fellow Program, RTI International, Research Triangle Park, NC, USA
                [d ]Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
                [e ]Department of Sociology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
                Author notes
                [* ]Corresponding author. mercedes.bravo@ 123456duke.edu (M.A. Bravo).
                Article
                NIHMS1909947
                10.1016/j.envint.2023.107987
                10664021
                37267730
                ebe72d29-b39b-4a43-9147-4016ffa57737

                This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                Categories
                Article

                air pollution,cardiometabolic health,young adult health,longitudinal,multi-year,long-term] air pollution exposure,early life exposure

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