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Global, regional, and national burden of household air pollution, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021.

Lancet (London, England)2025-03-22PubMed
Total: 83.0Innovation: 8Impact: 9Rigor: 8Citation: 9

Summary

This Global Burden of Disease analysis estimates that 2.67 billion people (33.8% of the world population) were exposed to household air pollution in 2021, with updated fuel type-specific exposure modeling across 204 countries from 1990–2021. Despite declines, HAP remains a major contributor to COPD, lower respiratory infections, and other diseases, particularly in sub-Saharan Africa and South Asia, underscoring the need for accelerated transitions to clean household energy.

Key Findings

  • In 2021, 2.67 billion people (33.8%) were exposed to household air pollution globally.
  • Updated exposure modeling incorporated fuel type-specific concentrations across 204 countries and territories (1990–2021).
  • Despite declines, HAP remains a substantial risk factor for respiratory and cardiometabolic diseases, especially in sub-Saharan Africa and South Asia.

Clinical Implications

Clinicians should screen for HAP exposure in at-risk populations, counsel on clean cooking/heating, and collaborate with public health programs to reduce COPD and LRI risks.

Why It Matters

Provides comprehensive, methodologically updated global estimates for a leading respiratory risk factor, enabling precise policy targeting and resource allocation.

Limitations

  • Model-based estimates rely on exposure assumptions and may not capture within-country heterogeneity
  • Limited direct measured exposure data in many regions may introduce uncertainty

Future Directions

Integrate more ground-truth exposure measurements (personal and household monitors), assess intervention effectiveness at scale, and link HAP reductions to longitudinal respiratory outcomes.

Study Information

Study Type
Systematic Review
Research Domain
Prevention
Evidence Level
II - High-quality systematic analysis and modeling across populations and time
Study Design
OTHER