M Lindström1, M Moghaddassi, J Merlo. 1. Department of Community Medicine, University Hospital MAS, Lund University, Malmö, Sweden. martin.lindstrom@smi.mas.lu.se
Abstract
OBJECTIVE: To investigate the influence of social capital and individual factors on the level of leisure time physical inactivity in the neighbourhoods. METHODS: The public health survey in Malmö 1994 is a cross sectional study. A total of 5600 people aged 20-80 years were invited to answer 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. The effect (intra-area correlation, cross level modification, and odds ratios) was analysed of individual and neighbourhood (the 1993 migration out of an area as a proxy for social capital) factors on leisure time physical inactivity after adjustment for individual factors. RESULTS: Neighbourhood factors accounted for 5.0% of the crude total variance in physical inactivity. This effect was significantly reduced when the individual factors, especially country of origin, education, and social participation, were included in the model. In contrast, it was not reduced by the introduction of the contextual social capital variable. CONCLUSION: This study suggests that in the neighbourhoods of Malmö leisure time physical inactivity is mainly affected by individual factors.
OBJECTIVE: To investigate the influence of social capital and individual factors on the level of leisure time physical inactivity in the neighbourhoods. METHODS: The public health survey in Malmö 1994 is a cross sectional study. A total of 5600 people aged 20-80 years were invited to answer 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. The effect (intra-area correlation, cross level modification, and odds ratios) was analysed of individual and neighbourhood (the 1993 migration out of an area as a proxy for social capital) factors on leisure time physical inactivity after adjustment for individual factors. RESULTS: Neighbourhood factors accounted for 5.0% of the crude total variance in physical inactivity. This effect was significantly reduced when the individual factors, especially country of origin, education, and social participation, were included in the model. In contrast, it was not reduced by the introduction of the contextual social capital variable. CONCLUSION: This study suggests that in the neighbourhoods of Malmö leisure time physical inactivity is mainly affected by individual factors.
Authors: J Merlo; P O Ostergren; O Hagberg; M Lindström; A Lindgren; A Melander; L Råstam; G Berglund Journal: J Epidemiol Community Health Date: 2001-11 Impact factor: 3.710
Authors: Lorna H McNeill; Anne Stoddard; Gary G Bennett; Kathleen Y Wolin; Glorian G Sorensen Journal: Cancer Causes Control Date: 2012-07-18 Impact factor: 2.506
Authors: Maura D Iversen; Michelle Frits; Johan von Heideken; Jing Cui; Michael Weinblatt; Nancy A Shadick Journal: Arthritis Care Res (Hoboken) Date: 2017-08-25 Impact factor: 4.794
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: Marielle A Beenackers; Carlijn B M Kamphuis; Katrina Giskes; Johannes Brug; Anton E Kunst; Alex Burdorf; Frank J van Lenthe Journal: Int J Behav Nutr Phys Act Date: 2012-09-19 Impact factor: 6.457
Authors: Anura Amarasinghe; Gerard D'Souza; Cheryl Brown; Hyungna Oh; Tatiana Borisova Journal: Int J Environ Res Public Health Date: 2009-08-19 Impact factor: 3.390