Martin Lindström1, Mahnaz Moghaddassi, Juan Merlo. 1. Department of Community Medicine, University Hospital MAS, Lund University, S 205 02 Malmö, Sweden. martin.lindstrom@smi.mas.lu.se
Abstract
BACKGROUND: The influence of neighbourhood and individual factors on self-reported health was investigated. METHODS: The public health survey in Malmö 1994 is a cross-sectional study. A total of 3,602 individuals aged 20-80 living in 75 neighbourhoods answered a postal questionnaire. The participation rate was 71%. A multilevel logistic regression model, with individuals at the first level and neighbourhoods at the second, was performed. We analysed the effect (intra-area correlation, cross-level modification and odds ratios) of neighbourhood on self-reported health after adjustment for individual factors. RESULTS: The neighbourhoods accounted for 2.8% of the crude total variance in self-reported health status. This effect was significantly reduced when individual factors such as country of origin, education and social participation were included in the model. In fact, no significant variance in self-reported health remained after the introduction of the individual factors in the model. CONCLUSIONS: In Malmö, the neighbourhood variance in self-reported health is mainly affected by individual factors, especially country of origin, socioeconomic status measured as level of education and individual social participation. Copyright 2004 The Institute for Cancer Prevention and Elsevier Inc.
BACKGROUND: The influence of neighbourhood and individual factors on self-reported health was investigated. METHODS: The public health survey in Malmö 1994 is a cross-sectional study. A total of 3,602 individuals aged 20-80 living in 75 neighbourhoods answered a postal questionnaire. The participation rate was 71%. A multilevel logistic regression model, with individuals at the first level and neighbourhoods at the second, was performed. We analysed the effect (intra-area correlation, cross-level modification and odds ratios) of neighbourhood on self-reported health after adjustment for individual factors. RESULTS: The neighbourhoods accounted for 2.8% of the crude total variance in self-reported health status. This effect was significantly reduced when individual factors such as country of origin, education and social participation were included in the model. In fact, no significant variance in self-reported health remained after the introduction of the individual factors in the model. CONCLUSIONS: In Malmö, the neighbourhood variance in self-reported health is mainly affected by individual factors, especially country of origin, socioeconomic status measured as level of education and individual social participation. Copyright 2004 The Institute for Cancer Prevention and Elsevier Inc.
Authors: Ge Yu; Adrian Renton; Elena Schmidt; Patrick Tobi; Marcello Bertotti; Paul Watts; Shahana Lais Journal: Health Place Date: 2011-07-18 Impact factor: 4.078
Authors: Charles Agyemang; Carolien van Hooijdonk; Wanda Wendel-Vos; Ellen Lindeman; Karien Stronks; Mariël Droomers Journal: J Epidemiol Community Health Date: 2007-12 Impact factor: 3.710