Dataset Information

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

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 (PM_2.5) 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 PM_2.5 and BC levels at residence using land-use regression models and annual personal exposure to PM_2.5 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 PM_2.5 and BC were 32.9 (2.6) ?g/m³ and 2.5 (2.6) ?g/m³, respectively; personal exposures to PM_2.5 and BC were 54.5 (11.5) ?g/m³ and 5.8 (2.5) ?g/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 PM_2.5 and BC were not associated with higher blood glucose levels. Personal PM_2.5 (20??g/m³ increase) and BC (1??g/m³ increase) were negatively associated with blood glucose levels in women (PM_2.5: -1.93, 95%CI: -3.12, -0.73; BC: -0.63, 95%CI: -0.90, -0.37). In men, associations were negative for personal PM_2.5 (-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 PM_2.5 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.

SUBMITTER: Curto A

PROVIDER: S-EPMC6718580 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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Publications

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

Curto Ariadna A Ranzani Otavio O Milà Carles C Sanchez Margaux M Marshall Julian D JD Kulkarni Bharati B Bhogadi Santhi S Kinra Sanjay S Wellenius Gregory A GA Tonne Cathryn C

Environment international 20190731

<h4>Background</h4>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 (PM<sub>2.5</sub>) and black carbon (BC) with blood glucose and diabetic status among residents of 28 peri-urban villages in South India.<h4>Methods</h4>We used cross-sectional data from 5065 adults (≥18 years, 54% men) included in the Andhra Pradesh Children and Parents Study. Fasting plasma glu ...[more]

PMID: 31376594

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Dataset Information

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

Background

Methods

Results

Conclusions

Publications

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

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