The impact of air pollution on deaths, disease burden, and life expectancy across the states of India: the Global Burden of Disease Study 2017.
Level 3 - non-randomized controlled study
Level 3 by design analogy: subnational comparative risk assessment and population-level epidemiological modeling, not clinical CEBM.
PubMed 30528905 · doi:10.1016/S2542-5196(18)30261-4
What was done
Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017, researchers estimated state-level exposure to ambient PM2.5 and household air pollution from solid cooking fuels across India. States were categorised into three Socio-demographic Index (SDI) groups. The authors estimated attributable deaths, disability-adjusted life-years (DALYs), India's share of global air pollution burden, and potential life expectancy gains if air pollution reached minimum-risk levels based on literature-derived exposure-response relationships.
What was found
The 2017 annual population-weighted mean ambient PM2.5 in India was 89.9 μg/m3 (95% UI 67.0–112.0), with 76.8% of the population exposed to levels above the national standard of 40 μg/m3. Solid fuel use was 55.5% nationwide and exceeded 75% in low SDI states (Bihar, Jharkhand, Odisha). Air pollution accounted for 1.24 million deaths (95% UI 1.09–1.39; 12.5% of total deaths in India), including 0.67 million from ambient PM2.5 and 0.48 million from household air pollution; 51.4% of attributable deaths occurred in people younger than 70 years. India accounted for 18.1% of global population but 26.2% of global air pollution DALYs. Reducing air pollution below minimum-risk levels was estimated to increase average Indian life expectancy by 1.7 years (95% UI 1.6–1.9), exceeding 2.0 years in Rajasthan, Uttar Pradesh, and Haryana.
Why it matters
This study provides comprehensive subnational quantification of ambient and household air pollution burdens across India, demonstrating that disease impact is disproportionately concentrated in northern and low-SDI states to inform targeted policy interventions.
Limits
The findings are derived from secondary epidemiological modeling and comparative risk attribution rather than direct individual-level prospective observation. Specific ground-level monitoring density versus satellite-derived estimations across rural areas are not detailed in the abstract.
Cited by
- supports Resolving air quality issues in India would extend life expectancy more than curing all cancer in the country.