ArticleScientific reports2025
Asthma prevalence and risk factors in Poonch and Rajouri districts, India: an epidemiological and geospatial analysis.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Spatial heterogeneity and influencing factors of cognitive impairment among elderly hypertensive patients: evidence from rural communities in China.BMC geriatrics · 2026Article
- Subnational inequalities and spatially varying associations of elevated blood glucose among women in India: a national district-level biomarkers analysis.BMC public health · 2026Article
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Authors and funding
4 authors.
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Abstract
Asthma is a significant global health issue, especially in high-altitude areas where unique environmental conditions and socioeconomic disparities may elevate disease risk and severity. This study examines the prevalence and determinants of asthma among the Gujjar and Bakarwal tribes living in the high-altitude regions of the western Himalayas, providing insights into the influence of altitude, socioeconomic factors, and lifestyle on asthma risk. We conducted a cross-sectional survey across 816 households in 50 villages in Poonch and Rajouri districts, utilizing a stratified random sampling approach to ensure a representative sample. Villages were categorized by altitude and population density. Geographic Information System (GIS) tools were used to map asthma prevalence using inverse distance weighting (IDW) and Natural Breaks classification to identify high-risk zones. To determine asthma risk factors, we applied a binary logistic regression model (BLRM), with model fit assessed via pseudo-R² and Hosmer-Lemeshow tests, and predictive accuracy evaluated through receiver operating characteristic (ROC) curve analysis. Asthma prevalence was 22.5% among the study population. Higher altitudes were linked to a significantly lower likelihood of asthma (adjusted odds ratio [AOR]: 0.10, p = 0.002). In contrast, extended family living arrangements (AOR: 8.80, p = 0.008) and individuals in their prime working years (AOR: 93.36, p = 0.001) showed elevated asthma risk. Protective factors included higher education, government employment, farming, increased household income, and residence in modern housing. The model exhibited strong fit (Nagelkerke R
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