Associations between the built environment and physical activity in public housing residents

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dc.contributor.author Heinrich, Katie M.
dc.contributor.author Lee, Rebecca E.
dc.contributor.author Suminski, Richard R.
dc.contributor.author Regan, Gail R.
dc.contributor.author Reese-Smith, Jacqueline Y.
dc.contributor.author Howard, Hugh H.
dc.contributor.author Haddock, C. Keith
dc.contributor.author Poston, Walker S. Carlos
dc.contributor.author Ahluwalia, Jasjit S.
dc.date.accessioned 2012-10-16T20:07:41Z
dc.date.available 2012-10-16T20:07:41Z
dc.date.issued 2012-10-16
dc.identifier.uri http://hdl.handle.net/2097/14853
dc.description.abstract Background: Environmental factors may influence the particularly low rates of physical activity in African American and low-income adults. This cross-sectional study investigated how measured environmental factors were related to self-reported walking and vigorous physical activity for residents of low-income public housing developments. Methods: Physical activity data from 452 adult residents residing in 12 low-income housing developments were combined with measured environmental data that examined the neighborhood (800 m radius buffer) around each housing development. Aggregated ecological and multilevel regression models were used for analysis. Results: Participants were predominately female (72.8%), African American (79.6%) and had a high school education or more (59.0%). Overall, physical activity rates were low, with only 21% of participants meeting moderate physical activity guidelines. Ecological models showed that fewer incivilities and greater street connectivity predicted 83% of the variance in days walked per week, p < 0.001, with both gender and connectivity predicting days walked per week in the multi-level analysis, p < 0.05. Greater connectivity and fewer physical activity resources predicted 90% of the variance in meeting moderate physical activity guidelines, p < 0.001, and gender and connectivity were the multi-level predictors, p < 0.05 and 0.01, respectively. Greater resource accessibility predicted 34% of the variance in days per week of vigorous physical activity in the ecological model, p < 0.05, but the multi-level analysis found no significant predictors. Conclusion: These results indicate that the physical activity of low-income residents of public housing is related to modifiable aspects of the built environment. Individuals with greater access to more physical activity resources with few incivilities, as well as, greater street connectivity, are more likely to be physically active. en_US
dc.relation.uri http://www.ijbnpa.org/content/4/1/56 en_US
dc.subject Rates of physical activity en_US
dc.subject Environmental factors en_US
dc.subject Low-income en_US
dc.subject Public housing en_US
dc.subject Built environment en_US
dc.title Associations between the built environment and physical activity in public housing residents en_US
dc.type Article (publisher version) en_US
dc.date.published 2007 en_US
dc.citation.doi doi:10.1186/1479-5868-4-56 en_US
dc.citation.issue 56 en_US
dc.citation.jtitle International Journal of Behavioral Nutrition and Physical Activity en_US
dc.citation.volume 4 en_US
dc.contributor.authoreid kmhphd en_US


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