Hospital admissions for XXXX : does long-term exposure to air pollution interact with major risk factors?

@entity1 @entity64 @entity101 @entity6 @entity955 @entity385
BACKGROUND: The aim was to investigate whether the effects of major risk factors for @entity385 were modified by long-term exposure to air pollution in Scania, southern Sweden. METHODS: Cases were defined as first-ever @entity385 in @entity1 born between 1923 and 1965 during 2001-2006 (n = 7,244). Data were collected from The Swedish National @entity64 Register (Riks- @entity64 ) and the Malm   and Lund @entity64 Registers. Population controls were matched on age and sex. Modeled outdoor annual mean NO(x) concentrations were used as proxy for long-term exposure to air pollution. Heterogeneity across NO(x) categories was tested for smoking, @entity101 , @entity6 , @entity955 and physical inactivity. Data were analyzed as case-control data and to some extent as case-only data, with logistic regression analysis. RESULTS: The case-control odds ratios for @entity385 in association with @entity6 were 1.3 [95% confidence interval (CI): 1.1-1.6] and 2.0 (95% CI: 1.2-3.4) in the lowest and highest NO(x) category, respectively (p value for testing heterogeneity across the categories = 0.056). The case-only approach gave further support for the risk associated with @entity6 to increase with NO(x) (p for trend = 0.033). We observed no main effect of mean NO(x) or any conclusive effect modifications between NO(x) and smoking, @entity101 , @entity955 or physical inactivity. CONCLUSIONS: In a low-level air pollution area, the risk for @entity385 associated with @entity6 seemed to increase with long-term exposure to air pollution.
