Neighborhood Built Environment and Transport and Leisure Physical Activity: Findings Using Objective Exposure and Outcome Measures in New Zealand.
Autor: | Witten, Karen1 k.witten@massey.ac.nz, Blakely, Tony2, Bagheri, Nasser2, Badland, Hannah3,4, Ivory, Vivienne2, Pearce, Jamie5, Mavoa, Suzanne1, Hinckson, Erica4, Schofield, Grant4 |
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Předmět: |
*Epidemiology
*Nature *Population density *Transportation Physical activity Accelerometers Confidence intervals Geographic information systems Health behavior Leisure Metropolitan areas Scientific observation Regression analysis Research funding Self-evaluation Walking Logistic regression analysis Data analysis Residential patterns Social context Cross-sectional method Descriptive statistics Psychology |
Zdroj: | Environmental Health Perspectives. Jul2012, Vol. 120 Issue 7, p971-977. 7p. 7 Charts, 1 Map. |
Abstrakt: | Background: Evidence of associations between neighborhood built environments and transport-related physical activity (PA) is accumulating, but few studies have investigated associations with leisure-time PA. Objective: We investigated associations of five objectively measured characteristics of the neighborhood built environment-destination access, street connectivity, dwelling density, land-use mix and streetscape quality-with residents' self-reported PA (transport, leisure, and walking) and accelerometer-derived measures of PA. Methods: Using a multicity stratified cluster sampling design, we conducted a cross-sectional survey of 2,033 adults who lived in 48 New Zealand neighborhoods. Multilevel regression modeling, which was adjusted for individual-level (sociodemographic and neighborhood preference) and neighborhood-level (deprivation) confounders, was used to estimate associations of built environment with PA.Results: We found that 1-SD increases in destination access, street connectivity, and dwelling density were associated with any versus no self-reported transport, leisure, or walking PA, with increased odds ranging from 21% [street connectivity with leisure PA, 95% confidence interval (CI): 0%, 47%] to 44% (destination accessibility with walking, 95% CI: 17%, 79%). Among participants who self-reported some PA, a 1-SD increase in street connectivity was associated with a 13% increase in leisure PA (95% CI: 0, 28%). SD increases in destination access, street connectivity, and dwelling density were each associated with 7% increases in accelerometer counts. Conclusions: Associations of neighborhood destination access, street connectivity, and dwelling density with self-reported and objectively measured PA were moderately strong, indicating the potential to increase PA through changes in neighborhood characteristics. [ABSTRACT FROM AUTHOR] |
Databáze: | GreenFILE |
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