BACKGROUND: Community levels of air pollution have been associated with variability in mortality rates, but previous studies have inferred exposure to pollutants on a citywide basis. We investigated mortality in relation to neighbourhood levels of income and air pollution in an urban area. METHODS: We identified 5228 people in the Hamilton-Burlington area of southern Ontario who had been referred for pulmonary function testing between 1985 and 1999. Nonaccidental deaths that occurred in this group between 1992 and 1999 were ascertained from the Ontario Mortality Registry. Mean household income was estimated by linking the subjects' postal codes with the 1996 census. Mean neighbourhood levels of total suspended particulates and sulfur dioxide were estimated by interpolation from data from a network of sampling stations. We used proportional hazards regression models to compute mortality risk in relation to income and pollutant levels, while adjusting for pulmonary function, body mass index and diagnoses of chronic disease. Household incomes and pollutant levels were each divided into 2 risk categories (low and high) at the median. RESULTS: Mean pollutant levels tended to be higher in lower-income neighbourhoods. Both income and pollutant levels were associated with mortality differences. Compared with people in the most favourable category (higher incomes and lower particulate levels), those with all other income-particulate combinations had a higher risk of death from nonaccidental causes (lower incomes and higher particulate levels: relative risk [RR] 2.62, 95% confidence interval [CI] 1.67-4.13; lower incomes and lower particulate levels: RR 1.82, 95% CI 1.30-2.55; higher incomes and higher particulate levels: RR 1.33, 95% CI 1.12-1.57). Similar results were observed for sulfur dioxide. The relative risk was lower at older ages. INTERPRETATION: Mortality rates varied by neighbourhood of residence in this cohort of people whose lung function was tested. Two of the broader determinants of health--income and air pollution levels--were important correlates of mortality in this population.
BACKGROUND: Community levels of air pollution have been associated with variability in mortality rates, but previous studies have inferred exposure to pollutants on a citywide basis. We investigated mortality in relation to neighbourhood levels of income and air pollution in an urban area. METHODS: We identified 5228 people in the Hamilton-Burlington area of southern Ontario who had been referred for pulmonary function testing between 1985 and 1999. Nonaccidental deaths that occurred in this group between 1992 and 1999 were ascertained from the Ontario Mortality Registry. Mean household income was estimated by linking the subjects' postal codes with the 1996 census. Mean neighbourhood levels of total suspended particulates and sulfur dioxide were estimated by interpolation from data from a network of sampling stations. We used proportional hazards regression models to compute mortality risk in relation to income and pollutant levels, while adjusting for pulmonary function, body mass index and diagnoses of chronic disease. Household incomes and pollutant levels were each divided into 2 risk categories (low and high) at the median. RESULTS: Mean pollutant levels tended to be higher in lower-income neighbourhoods. Both income and pollutant levels were associated with mortality differences. Compared with people in the most favourable category (higher incomes and lower particulate levels), those with all other income-particulate combinations had a higher risk of death from nonaccidental causes (lower incomes and higher particulate levels: relative risk [RR] 2.62, 95% confidence interval [CI] 1.67-4.13; lower incomes and lower particulate levels: RR 1.82, 95% CI 1.30-2.55; higher incomes and higher particulate levels: RR 1.33, 95% CI 1.12-1.57). Similar results were observed for sulfur dioxide. The relative risk was lower at older ages. INTERPRETATION: Mortality rates varied by neighbourhood of residence in this cohort of people whose lung function was tested. Two of the broader determinants of health--income and air pollution levels--were important correlates of mortality in this population.
Authors: D W Dockery; C A Pope; X Xu; J D Spengler; J H Ware; M E Fay; B G Ferris; F E Speizer Journal: N Engl J Med Date: 1993-12-09 Impact factor: 91.245
Authors: C Arden Pope; Richard T Burnett; Michael J Thun; Eugenia E Calle; Daniel Krewski; Kazuhiko Ito; George D Thurston Journal: JAMA Date: 2002-03-06 Impact factor: 56.272
Authors: Jeff D Yanosky; Christopher J Paciorek; Joel Schwartz; Francine Laden; Robin Puett; Helen H Suh Journal: Atmos Environ (1994) Date: 2008-06-01 Impact factor: 4.798
Authors: Joseph L Servadio; Abiola S Lawal; Tate Davis; Josephine Bates; Armistead G Russell; Anu Ramaswami; Matteo Convertino; Nisha Botchwey Journal: J Urban Health Date: 2019-04 Impact factor: 3.671
Authors: Cliona M McHale; Gwendolyn Osborne; Rachel Morello-Frosch; Andrew G Salmon; Martha S Sandy; Gina Solomon; Luoping Zhang; Martyn T Smith; Lauren Zeise Journal: Mutat Res Rev Mutat Res Date: 2017-11-24 Impact factor: 5.657
Authors: Jaime E Hart; Jeff D Yanosky; Robin C Puett; Louise Ryan; Douglas W Dockery; Thomas J Smith; Eric Garshick; Francine Laden Journal: Environ Health Perspect Date: 2009-06-29 Impact factor: 9.031
Authors: Talar Sahsuvaroglu; Michael Jerrett; Malcolm R Sears; Rob McConnell; Norm Finkelstein; Altaf Arain; Bruce Newbold; Rick Burnett Journal: Environ Health Date: 2009-04-01 Impact factor: 5.984