BACKGROUND: Reduction in pulmonary function, as estimated by forced expiratory volume in 1 s (FEV(1)), has been found to predict all-cause mortality in developed-country populations. This study was designed to examine the association between FEV(1) and mortality in an urban developing-country population. METHODS: Data from the large, well-characterized Mumbai Cohort Study (Maharashtra, India) were used to compute hazard ratios (HRs; deaths/100-ml FEV(1)) and 95% confidence intervals (CIs) from Cox proportional hazards regression models in which age, tobacco use, education, height and relative body weight were controlled. RESULTS: A total of 13,261 deaths occurred in this cohort of 148,173 individuals. After controlling for important covariates, there was a 1.7% reduction in risk of overall death in women for each 100-ml increment in FEV(1) (HR = 0.983; 95% CI = 0.980-0.986) and a 1.5% reduction in men (HR = 0.985; 95% CI = 0.984-0.986). There was a 1.6% reduction in cancer deaths in women (HR = 0.984; 95% CI = 0.973-0.996) and a 0.8% reduction in men (HR = 0.992; 95% CI = 0.987-0.997). The largest reductions in women were observed in tuberculosis deaths (3.7%/100-ml increment in FEV(1)), and in men in respiratory system deaths (3.2%). CONCLUSIONS: In a densely populated urban Indian population, FEV(1) predicted overall and cancer mortality. Effects were larger in women and were not attenuated by exclusion of smokers or restricting analyses to subjects dying >2 years from recruitment. Because FEV(1) may be affected by air pollution, which is worsening in urban areas of most developing countries, further research is recommended to deepen understanding of these factors in relation to mortality.
BACKGROUND: Reduction in pulmonary function, as estimated by forced expiratory volume in 1 s (FEV(1)), has been found to predict all-cause mortality in developed-country populations. This study was designed to examine the association between FEV(1) and mortality in an urban developing-country population. METHODS: Data from the large, well-characterized Mumbai Cohort Study (Maharashtra, India) were used to compute hazard ratios (HRs; deaths/100-ml FEV(1)) and 95% confidence intervals (CIs) from Cox proportional hazards regression models in which age, tobacco use, education, height and relative body weight were controlled. RESULTS: A total of 13,261 deaths occurred in this cohort of 148,173 individuals. After controlling for important covariates, there was a 1.7% reduction in risk of overall death in women for each 100-ml increment in FEV(1) (HR = 0.983; 95% CI = 0.980-0.986) and a 1.5% reduction in men (HR = 0.985; 95% CI = 0.984-0.986). There was a 1.6% reduction in cancer deaths in women (HR = 0.984; 95% CI = 0.973-0.996) and a 0.8% reduction in men (HR = 0.992; 95% CI = 0.987-0.997). The largest reductions in women were observed in tuberculosis deaths (3.7%/100-ml increment in FEV(1)), and in men in respiratory system deaths (3.2%). CONCLUSIONS: In a densely populated urban Indian population, FEV(1) predicted overall and cancer mortality. Effects were larger in women and were not attenuated by exclusion of smokers or restricting analyses to subjects dying >2 years from recruitment. Because FEV(1) may be affected by air pollution, which is worsening in urban areas of most developing countries, further research is recommended to deepen understanding of these factors in relation to mortality.
Authors: G David Batty; David Gunnell; Claudia Langenberg; George Davey Smith; Michael G Marmot; Martin J Shipley Journal: Eur J Epidemiol Date: 2006-11-22 Impact factor: 8.082
Authors: Ana Maria B Menezes; Rogelio Pérez-Padilla; Fernando César Wehrmeister; Maria Victorina Lopez-Varela; Adriana Muiño; Gonzalo Valdivia; Carmen Lisboa; José Roberto B Jardim; Maria Montes de Oca; Carlos Talamo; Renata Bielemann; Mariana Gazzotti; Ruy Laurenti; Bartolomé Celli; Cesar G Victora Journal: PLoS One Date: 2014-10-06 Impact factor: 3.240