Longitudinal Associations of Air Pollution With Body Size and Composition in Midlife Women: The Study of Women’s Health Across the Nation

OBJECTIVE We examined longitudinal associations of air pollution exposure, including fine particulate matter (PM2.5), nitrogen dioxide (NO2), and ozone (O3), with weight, BMI, waist circumference, fat mass, lean mass, and proportion fat mass in midlife women. RESEARCH DESIGN AND METHODS The study population included 1,654 White, Black, Chinese, and Japanese women from the Study of Women’s Health Across the Nation, with the baseline median age of 49.6 years, followed from 2000 to 2008. Annual air pollution exposures were assigned by linking residential addresses with hybrid estimates of air pollutant concentrations at 1-km2 resolution. Body size was measured, and body composition was measured using DXA at approximately annual visits. Linear mixed effects models were used to examine the associations between air pollution and body size and composition measures and whether these associations differed by physical activity. RESULTS After adjusting for potential confounders, an interquartile range increase in PM2.5 concentration (4.5 μg/m3) was associated with 4.53% (95% CI 3.85%, 5.22%) higher fat mass, 1.10% (95% CI 0.95%, 1.25%) higher proportion fat mass, and 0.39% (95% CI −0.77%, −0.01%) lower lean mass. Similar associations were also observed for NO2 and O3. Weaker associations of PM2.5 and NO2 with body composition were observed in participants who engaged in more physical activity. CONCLUSIONS Our analyses provide evidence that exposure to PM2.5, NO2, and O3, is adversely associated with body composition, including higher fat mass, higher proportional fat mass, and lower lean mass, highlighting their potential contribution to obesity.

[1]  J. Zhang,et al.  Effects of physical activity intensity on adulthood obesity as a function of long-term exposure to ambient PM2.5: Observations from a Chinese nationwide representative sample. , 2022, The Science of the total environment.

[2]  Howard H. Chang,et al.  A national cohort study (2000–2018) of long-term air pollution exposure and incident dementia in older adults in the United States , 2021, Nature Communications.

[3]  A. Calafat,et al.  Perfluoroalkyl and Polyfluoroalkyl Substances and Body Size and Composition Trajectories in Midlife Women: The Study of Women’s Health Across the Nation 1999–2018 , 2021, International Journal of Obesity.

[4]  Sang Min Park,et al.  Association of combined effects of physical activity and air pollution with diabetes in older adults. , 2020, Environment international.

[5]  J. Schwartz,et al.  An ensemble learning approach for estimating high spatiotemporal resolution of ground-level ozone in the contiguous United States. , 2020, Environmental science & technology.

[6]  Y. Fujitani,et al.  Hazard evaluation of air pollution by using the key characteristics approach , 2020, IOP Conference Series: Earth and Environmental Science.

[7]  S. Studenski,et al.  The Relationship of Lean Body Mass With Aging to the Development of Diabetes. , 2020, Journal of the Endocrine Society.

[8]  Shin-Hye Kim,et al.  Air pollution and childhood obesity , 2020, Clinical and experimental pediatrics.

[9]  Y. Klimentidis,et al.  Associations of air pollution with obesity and body fat percentage, and modification by polygenic risk score for BMI in the UK Biobank. , 2020, Environmental research.

[10]  Alexei Lyapustin,et al.  Assessing NO2 Concentration and Model Uncertainty with High Spatiotemporal Resolution across the Contiguous United States Using Ensemble Model Averaging. , 2019, Environmental science & technology.

[11]  Hailey R Banack,et al.  Association between regional body fat and cardiovascular disease risk among postmenopausal women with normal body mass index. , 2019, European heart journal.

[12]  Alexei Lyapustin,et al.  An ensemble-based model of PM2.5 concentration across the contiguous United States with high spatiotemporal resolution. , 2019, Environment international.

[13]  Y. Guo,et al.  Effects of PM2.5 on Skeletal Muscle Mass and Body Fat Mass of the Elderly in Taipei, Taiwan , 2019, Scientific Reports.

[14]  J. Cauley,et al.  Changes in body composition and weight during the menopause transition. , 2019, JCI insight.

[15]  G. Paolella,et al.  Environmental Pollutants Effect on Brown Adipose Tissue , 2019, Front. Physiol..

[16]  B. Mukherjee,et al.  Associations of cumulative exposure to heavy metal mixtures with obesity and its comorbidities among U.S. adults in NHANES 2003-2014. , 2018, Environment international.

[17]  D. Lobdell,et al.  The association between physical inactivity and obesity is modified by five domains of environmental quality in U.S. adults: A cross-sectional study , 2018, PloS one.

[18]  Ara Jo,et al.  Informational value of percent body fat with body mass index for the risk of abnormal blood glucose: a nationally representative cross-sectional study , 2018, BMJ Open.

[19]  P. Clifton Relationship Between Changes in Fat and Lean Depots Following Weight Loss and Changes in Cardiovascular Disease Risk Markers , 2018, Journal of the American Heart Association.

[20]  K. Berhane,et al.  Effects of air pollution exposure on glucose metabolism in Los Angeles minority children , 2018, Pediatric obesity.

[21]  Gretchen A. Stevens,et al.  Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults , 2017, Lancet.

[22]  K. Choi Sarcopenia and sarcopenic obesity , 2016, The Korean journal of internal medicine.

[23]  P. Wiklund The role of physical activity and exercise in obesity and weight management: Time for critical appraisal , 2016, Journal of sport and health science.

[24]  R. Brook,et al.  Air Pollution and Exercise: A REVIEW OF THE CARDIOVASCULAR IMPLICATIONS FOR HEALTH CARE PROFESSIONALS. , 2016, Journal of cardiopulmonary rehabilitation and prevention.

[25]  Qinghua Sun,et al.  Influencing Factors of Thermogenic Adipose Tissue Activity , 2016, Front. Physiol..

[26]  J. Wells Commentary: The paradox of body mass index in obesity assessment: not a good index of adiposity, but not a bad index of cardio-metabolic risk , 2014, International journal of epidemiology.

[27]  Errol M. Thomson Neurobehavioral and metabolic impacts of inhaled pollutants , 2013 .

[28]  M. LaMonte,et al.  Effects of Exercise Training on Chronic Inflammation in Obesity , 2013, Sports Medicine.

[29]  S. Rajagopalan,et al.  Exposure to fine airborne particulate matter induces macrophage infiltration, unfolded protein response, and lipid deposition in white adipose tissue. , 2013, American journal of translational research.

[30]  S. Rajagopalan,et al.  Ambient particulate air pollution induces oxidative stress and alterations of mitochondria and gene expression in brown and white adipose tissues , 2011, Particle and Fibre Toxicology.

[31]  S. Rajagopalan,et al.  Effect of Early Particulate Air Pollution Exposure on Obesity in Mice: Role of p47phox , 2010, Arteriosclerosis, thrombosis, and vascular biology.

[32]  M. Visser,et al.  Inflammatory markers and loss of muscle mass (sarcopenia) and strength. , 2006, The American journal of medicine.

[33]  J. Seidell,et al.  Epidemiology of obesity. , 2002, Seminars in vascular medicine.

[34]  J. Cauley,et al.  Assessment of physical activity with a single global question in a large, multiethnic sample of midlife women. , 2000, American journal of epidemiology.

[35]  David Morganstein,et al.  SWAN: A Multicenter, Multiethnic, Community-Based Cohort Study of Women and the Menopausal Transition , 2000 .

[36]  J Auwerx,et al.  The peroxisome proliferator activated receptors (PPARS) and their effects on lipid metabolism and adipocyte differentiation. , 1996, Biochimica et biophysica acta.

[37]  P. Gann,et al.  Development of epidemiologic tools for measuring environmental tobacco smoke exposure. , 1989, American journal of epidemiology.

[38]  G Block,et al.  A data-based approach to diet questionnaire design and testing. , 1986, American journal of epidemiology.