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March 6, 2026Indian Journal of Community Medicine0 citationsOpen Access

Spatial Association between Air Pollution and Non-communicable Diseases and their Distribution in India

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ASArun Kumar SharmaRHRamesh Kumar HudaSASk Parveg Alam

Key Points

  • The study aims to investigate the relationship between air pollution levels and the incidence of diabetes and hypertension in India.
  • Analyzed PM 2.5 levels using satellite imagery data from 2000 to 2019.
  • Utilized National NCD Monitoring Survey data from 2017-2018 involving 9,759 individuals.
  • Employed spatial and geostatistical methods to assess correlations.
  • Observed a weak positive correlation between hypertension and PM 2.5 levels.
  • Diabetes showed both positive and negative correlations across regions, but with low strength.
  • No statistically significant association was found, suggesting a lack of direct association.

Abstract

Abstract Background: Non-communicable diseases (NCDs) are the fastest-growing global health burden, and air pollution is a major threat to human health. Growing evidence suggests that air pollution especially PM 2.5 is associated with diabetes mellitus and hypertension, which are currently major public health concerns. There has not yet been any study on the association between air pollution and NCDs at a national level in India. We used the National NCD Monitoring Survey (NNMS) surveyed diabetes and hypertension data (2017–2018) of 9,759 individuals in India and superimposed it on a 20-year average concentration of PM 2.5 in ambient air, measured by satellite-based imagery (2000–2019), to find the association of PM 2.5 with diabetes and hypertension. Methods: Spatial and geostatistical methods were employed to assess the association and examine the distribution of PM2.5, diabetes, and hypertension rates across geographic regions in India. Results: We observed a weak positive correlation between hypertension and PM 2.5 levels, whereas diabetes showed both positive and negative correlations across geographic spaces, albeit with low strength. We did not find any statistically significant results that explain an association, suggesting a lack of association between the two. Conclusions: Since we did not find any significant result of the association, which may be evidence of not having any direct association, conducting prospective cohort studies may help find if there is any association at all.

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Cite This Study

Sharma et al. (2026) studied this question.

synapsesocial.com/papers/69aa70b8531e4c4a9ff5ad0dhttps://doi.org/10.4103/ijcm.ijcm_209_25
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