2009
DOI: 10.3390/ijerph60200654
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Small Area and Individual Level Predictors of Physical Activity in Urban Communities: A Multi-Level Study in Stoke on Trent, England

Abstract: Reducing population physical inactivity has been declared a global public health priority. We report a detailed multi-level analysis of small area indices and individual factors as correlates of physical activity in deprived urban areas. Multi-level regression analysis was used to investigate environmental and individual correlates of physical activity. Nine individual factors were retained in the overall model, two related to individual intentions or beliefs, three to access to shops, work or fast food outlet… Show more

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Cited by 18 publications
(13 citation statements)
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“…As previously reported (Cochrane et al, 2009), the 761 productive interviews obtained represented a 49% response rate. The sample comprised slightly more women than men (55% vs. 45%), with good coverage of ages and relatively low ethnic diversity typical of the city ( Table 1).…”
Section: Samplementioning
confidence: 77%
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“…As previously reported (Cochrane et al, 2009), the 761 productive interviews obtained represented a 49% response rate. The sample comprised slightly more women than men (55% vs. 45%), with good coverage of ages and relatively low ethnic diversity typical of the city ( Table 1).…”
Section: Samplementioning
confidence: 77%
“…With cross-sectional data, it is not possible to determine the direction of relationships; is greater perceived distance to local destinations the result of poor physical health and immobility, or is a lack of 'walkable' services detrimental to physical health, perhaps through reduced opportunities for walking and active transport? The wide-ranging physical and mental health benefits of physical activity and the concurrent relationship linking physical activity with the proximity of local destinations (Cochrane et al, 2009) or neighbourhood 'walkability' (Cleland et al, 2008;Owen et al, 2007) present a possible mechanism through which physical (and mental) health effects could result from differences in land use diversity. To explicate such a causal link, however, would require longitudinal data, perhaps from 'natural experiments' (Petticrew et al, 2005) that seek to modify environments or associated perceptions, and monitor changes in physical activity and health.…”
Section: Discussionmentioning
confidence: 99%
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