PT  - JOURNAL ARTICLE
AU  - Mukhmohit Singh
AU  - Anup K. Mukherjee
AU  - Surendra K. Ahluwalia
AU  - Anu Bhardwaj
AU  - Shveta Saini
TI  - COPD - Prevalence and risk study from rural north India
DP  - 2012 Sep 01
TA  - European Respiratory Journal
PG  - 1679
VI  - 40
IP  - Suppl 56
4099  - http://erj.ersjournals.com/content/40/Suppl_56/1679.short
4100  - http://erj.ersjournals.com/content/40/Suppl_56/1679.full
SO  - Eur Respir J2012 Sep 01; 40
AB  - BACKGROUND: The increasing impact of Chronic Obstructive Pulmonary Disease (COPD) on health care resources is now being recognized as a major public health problem and is projected to be the third leading cause of death worldwide by 2020.AIMS and OBJECTIVES: To estimate the prevalence and assess the risk factors for COPD in adults using spirometry (GOLD criteria).METHODS:A community-based, cross sectional, multiphasic survey was conducted on 2112 adults, age >35 years. COPD was diagnosed using fixed ratio post bronchodilator FEV1/FVC<70% on spirometric evaluation conducted on participants who screened positive using clinical (by validated respiratory questionnaire) or PEF criteria. RESULTS:The overall prevalence of COPD was 8% (10.8% in males and 5.1% in females). The prevalence of COPD was 15.3% in the ever smokers and were at 3.54 times higher risk (95% CI 2.6-4.9) compared to non smokers. The exposure to high risk occupation showed an increased risk for development of COPD [OR 3.983, 95% CI 2.87-5.52] than the non exposed individuals. Among females, the prevalence was highest for the heavy kitchen smoke exposure (8.2%). On logistic regression the factors related with COPD were age >65 years [OR 1.079 95% CI 1.064-1.095], exposure to high risk occupation [OR 2.395 95% CI 1.485-3.861] and smoking [OR 2.263 95% CI 1.467–3.492]. Other factors as exposure to passive tobacco smoke, education, socio economic status did play a role independently, however no significant higher risk was observed using multivariate statistical model. CONCLUSION:Ageing, smoking, occupation and biomass smoke exposure certainly explain the web of causation on the background of other risk factors as passive smoking, education and socioeconomic status.