Abstract
BackgroundLimited 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. MethodsWe 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. ResultsMean (SD) residential PM2.5 and BC were 32.9 (2.6) μg/m3 and 2.5 (2.6) μg/m3, respectively; personal exposures to PM2.5 and BC were 54.5 (11.5) μg/m3 and 5.8 (2.5) μg/m3, 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/m3 increase) and BC (1 μg/m3 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. ConclusionsOur 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
IntroductionAir quality has improved in some high-income regions but worsened in many low- and middle-income regions such asSouth Asia (Brauer et al, 2016; Health Effects Institute, 2018)
Over the last decade, air quality has improved in some high-income regions but worsened in many low- and middle-income regions such asSouth Asia (Brauer et al, 2016; Health Effects Institute, 2018)
We investigated whether residential or personal levels of PM2.5 and black carbon (BC) were associated with blood glucose or diabetic status among South Asian adults living in peri-urban India
Summary
Air quality has improved in some high-income regions but worsened in many low- and middle-income regions such asSouth Asia (Brauer et al, 2016; Health Effects Institute, 2018). Emerging evidence suggests that long-term air pollution may be associated with higher levels of fasting blood glucose (Thiering et al, 2013; Wolf et al, 2016; Chen et al, 2016; Thiering et al, 2016; Khafaie et al, 2018; Li et al, 2018; Toledo-Corral et al, 2018; B.Y. Yang et al, 2018; Dang et al, 2018). 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. 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.
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