Lack of association between particulate air pollution and blood glucose levels and diabetic status in peri-urban India. (October 2019)

• Record Type: Journal Article
• Authors: Curto, Ariadna; Ranzani, Otavio; Milà, Carles; Sanchez, Margaux; Marshall, Julian D.; Kulkarni, Bharati; Bhogadi, Santhi; Kinra, Sanjay; Wellenius, Gregory A.; Tonne, Cathryn
• Is Part Of: Environment international. Volume 131(2019)
• Publication Date: 2019-10
• Subjects: PM2.5 particles with a diameter ≤ 2.5 μm -- BC black carbon -- T2DM Type 2 diabetes mellitus -- APCAPS Andhra Pradesh Children and Parents Study -- GIS Geographical Information System -- NIN National Institute of Nutrition -- WHO World Health Organization -- LUR land-use regression -- BMI body mass index -- FFQ food frequency questionnaire -- MET metabolic equivalent task -- SES socio-economic status -- SLI standard of living index -- IQR inter-quartile range -- ETS environmental tobacco smoke -- CI confidence interval -- OR odds ratio -- SD standard deviation; Blood glucose -- Prediabetes -- Diabetes -- Air pollution -- Particulate matter -- Black carbon; Environmental protection -- Periodicals; Environmental health -- Periodicals; Environmental monitoring -- Periodicals; Environmental Monitoring -- Periodicals; Environnement -- Protection -- Périodiques; Hygiène du milieu -- Périodiques; Environnement -- Surveillance -- Périodiques; Environmental health; Environmental monitoring; Environmental protection; Periodicals; 333.705
• DOI: 10.1016/j.envint.2019.105033
• Languages: English
• ISSNs: 0160-4120

Abstract

Abstract: Background: Limited evidence exists on the effect of particulate air pollution on blood glucose levels. We evaluated the associations of residential and personal levels of fine particulate matter (PM2.5 ) and black carbon (BC) with blood glucose and diabetic status among residents of 28 peri-urban villages in South India. Methods: We used cross-sectional data from 5065 adults (≥18 years, 54% men) included in the Andhra Pradesh Children and Parents Study. Fasting plasma glucose was measured once in 2010–2012 and prevalent prediabetes and diabetes were defined following the American Diabetes Association criteria. We estimated annual ambient PM2.5 and BC levels at residence using land-use regression models and annual personal exposure to PM2.5 and BC using prediction models based on direct measurements from a subsample of 402 participants. We used linear and logistic nested mixed-effect models to assess the association between exposure metrics and health outcomes. For personal exposures, we stratified analyses by sex. Results: Mean (SD) residential PM2.5 and BC were 32.9 (2.6) μg/m 3 and 2.5 (2.6) μg/m 3, respectively; personal exposures to PM2.5 and BC were 54.5 (11.5) μg/m 3 and 5.8 (2.5) μg/m 3, respectively. Average (SD) fasting blood glucose was 5.3 (1.3) mmol/l, 16% of participants had prediabetes, and 5.5% had diabetes. Residential PM2.5 and BC were not associated with higher blood glucose levels. Personal PM2.5 (20 μg/m 3 increase) and BC (1 μg/m 3 increase) were negatively associated with blood glucose levels in women (PM2.5 : −1.93, 95%CI: −3.12, −0.73; BC: −0.63, 95%CI: −0.90, −0.37). In men, associations were negative for personal PM2.5 (−1.99, 95%CI: −3.56, −0.39) and positive for personal BC (0.49, 95%CI: −0.44, 1.43). We observed no evidence of associations between any exposure and prevalence of prediabetes/diabetes. Conclusions: Our results do not provide evidence that residential exposures to PM2.5 or BC are associated with blood glucose or prevalence of prediabetes/diabetes in this population. Associations with personal exposure may have been affected by unmeasured confounding, highlighting a challenge in using personal exposure estimates in air pollution epidemiology. These associations should be further examined in longitudinal studies. Highlights: We evaluated long-term air pollution exposure in adults from peri-urban India. Ambient air pollution was not associated with higher blood glucose levels. Personal air pollution exposure was associated with lower blood glucose levels. We observed no associations between PM2.5 /BC and prevalence of prediabetes/diabetes.