BACKGROUND: The aim of this study was to examine the clustering of four major lifestyle risk factors (smoking, heavy drinking, lack of fruit and vegetables consumption, and lack of physical activity), and to examine the variation across different socio-demographic groups in the English adult population. METHODS: The study population was derived from the 2003 Health Survey for England (n=11,492). Clustering was examined by comparing the observed and expected prevalence of the different possible combinations. A multinomial multilevel regression model was conducted to examine the socio-demographic variation in the clustering of the four risk factors. RESULTS: The study found that, when using British health recommendations, a majority of the English population have multiple lifestyle risk factors at the same time. Clustering was found at both ends of the lifestyle spectrum and was more pronounced for women than for men. Overall, multiple risk factors were more prevalent among men, lower social class households, singles, and people who are economically inactive, but less prevalent among home owners and older age groups. CONCLUSIONS: The clustering of multiple risk factors provides support for multiple-behavior interventions as opposed to single-behavior interventions.
BACKGROUND: The aim of this study was to examine the clustering of four major lifestyle risk factors (smoking, heavy drinking, lack of fruit and vegetables consumption, and lack of physical activity), and to examine the variation across different socio-demographic groups in the English adult population. METHODS: The study population was derived from the 2003 Health Survey for England (n=11,492). Clustering was examined by comparing the observed and expected prevalence of the different possible combinations. A multinomial multilevel regression model was conducted to examine the socio-demographic variation in the clustering of the four risk factors. RESULTS: The study found that, when using British health recommendations, a majority of the English population have multiple lifestyle risk factors at the same time. Clustering was found at both ends of the lifestyle spectrum and was more pronounced for women than for men. Overall, multiple risk factors were more prevalent among men, lower social class households, singles, and people who are economically inactive, but less prevalent among home owners and older age groups. CONCLUSIONS: The clustering of multiple risk factors provides support for multiple-behavior interventions as opposed to single-behavior interventions.
Authors: Darla E Kendzor; Tracy J Costello; Yisheng Li; Jennifer Irvin Vidrine; Carlos A Mazas; Lorraine R Reitzel; Paul M Cinciripini; Ludmila M Cofta-Woerpel; Michael S Businelle; David W Wetter Journal: Cancer Epidemiol Biomarkers Prev Date: 2008-11 Impact factor: 4.254
Authors: Richard Lawder; Oliver Harding; Diane Stockton; Colin Fischbacher; David H Brewster; Jim Chalmers; Alan Finlayson; David I Conway Journal: BMC Public Health Date: 2010-06-11 Impact factor: 3.295