Literature DB >> 17397430

Protective association between neighborhood walkability and depression in older men.

Ethan M Berke1, Laura M Gottlieb, Anne Vernez Moudon, Eric B Larson.   

Abstract

OBJECTIVES: To evaluate the association between neighborhood walkability and depression in older adults.
DESIGN: Cross-sectional analysis using data from Adult Changes in Thought (ACT), a prospective, longitudinal cohort study.
SETTING: King County, Washington. PARTICIPANTS: Seven hundred forty randomly selected men and women aged 65 and older, cognitively intact, living in the same home for at least 2 years. MEASUREMENTS: Depressive symptoms were measured with the Center for Epidemiologic Studies Depression Scale. The Walkable and Bikable Communities Project provided objective data predicting the probability of walking at least 150 minutes per week in a particular neighborhood. ACT data were linked at the individual level via a geographic information system to this walkability score using buffer radii of 100, 500, and 1,000 meters around the subject's home. Multiple regression analysis tests were conducted for associations between the buffer-specific neighborhood walkability score and depressive symptoms.
RESULTS: There was a significant association between neighborhood walkability and depressive symptoms in men when adjusted for individual-level factors of income, physical activity, education, smoking status, living alone, age, ethnicity, and chronic disease. The odds ratio for the interquartile range (25th to 75th percentile) of walkability score was 0.31 to 0.33 for the buffer radii (P=.02), indicating a protective association with neighborhood walkability. This association was not significant in women.
CONCLUSION: This study demonstrates a significant association between neighborhood walkability and depressive symptoms in older men. Further research on the effects of neighborhood walkability may inform community-level mental health treatment and focus depression screening in less-walkable areas.

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Year:  2007        PMID: 17397430     DOI: 10.1111/j.1532-5415.2007.01108.x

Source DB:  PubMed          Journal:  J Am Geriatr Soc        ISSN: 0002-8614            Impact factor:   5.562


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