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This study identifies factors associated with walking among postmenopausal women and tests whether neighborhood walkability moderates the influence of intrapersonal factors on walking. We used data from the Women's Health Initiative Seattle Center and linear regression models to estimate associations and interactions. Being white and healthy, having a high school education or beyond and greater non-walking exercise were significantly associated with more walking. Neighborhood walkability was not independently associated with greater walking, nor did it moderate influence of intrapersonal factors on walking. Specifying types of walking (e.g., for transportation) can elucidate the relationships among intrapersonal factors, the built environment, and walking., (Copyright © 2013 Elsevier Ltd. All rights reserved.)

Background: Environments conducive to walking may help people avoid sedentary lifestyles and associated diseases. Recent studies developed walkability models combining several built environment characteristics to optimally predict walking. Developing and testing such models with the same data could lead to overestimating one's ability to predict walking in an independent sample of the population. More accurate estimates of model fit can be obtained by splitting a single study population into training and validation sets (holdout approach) or through developing and evaluating models in different populations. We used these two approaches to test whether built environment characteristics near the home predict walking for exercise. Study participants lived in western Washington State and were adult members of a health maintenance organization. The physical activity data used in this study were collected by telephone interview and were selected for their relevance to cardiovascular disease. In order to limit confounding by prior health conditions, the sample was restricted to participants in good self-reported health and without a documented history of cardiovascular disease., Results: For 1,608 participants meeting the inclusion criteria, the mean age was 64 years, 90 percent were white, 37 percent had a college degree, and 62 percent of participants reported that they walked for exercise. Single built environment characteristics, such as residential density or connectivity, did not significantly predict walking for exercise. Regression models using multiple built environment characteristics to predict walking were not successful at predicting walking for exercise in an independent population sample. In the validation set, none of the logistic models had a C-statistic confidence interval excluding the null value of 0.5, and none of the linear models explained more than one percent of the variance in time spent walking for exercise. We did not detect significant differences in walking for exercise among census areas or postal codes, which were used as proxies for neighborhoods., Conclusion: None of the built environment characteristics significantly predicted walking for exercise, nor did combinations of these characteristics predict walking for exercise when tested using a holdout approach. These results reflect a lack of neighborhood-level variation in walking for exercise for the population studied.

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.

Objective: We examined whether older persons who live in areas that are conducive to walking are more active or less obese than those living in areas where walking is more difficult., Methods: We used data from the Adult Changes in Thought cohort study for a cross-sectional analysis of 936 participants aged 65 to 97 years. The Walkable and Bikable Communities Project previously formulated a walkability score to predict the probability of walking in King County, Washington. Data from the cohort study were linked to the walkability score at the participant level using a geographic information system. Analyses tested for associations between walkability score and activity and body mass index., Results: Higher walkability scores were associated with significantly more walking for exercise across buffers (circular zones around each respondent's home) of varying radii (for men, odds ratio [OR]=5.86; 95% confidence interval [CI]=1.01, 34.17 to OR=9.14; CI=1.23, 68.11; for women, OR=1.63; CI=0.94, 2.83 to OR=1.77; CI=1.03, 3.04). A trend toward lower body mass index in men living in more walkable neighborhoods did not reach statistical significance., Conclusions: Findings suggest that neighborhood characteristics are associated with the frequency of walking for physical activity in older people. Whether frequency of walking reduces obesity prevalence is less clear.

Objective: The purpose of this article was to determine the effects of a managed-Medicare physical activity benefit on health care utilization and costs among older adults with diabetes., Research Design and Methods: This retrospective cohort study used administrative and claims data for 527 patients from a diabetes registry of a staff model HMO. Participants (n = 163) were enrolled in the HMO for at least 1 year before joining the Enhanced Fitness Program (EFP), a community-based physical activity program for which the HMO pays for each EFP class attended. Control subjects were matched to participants according to the index date of EFP enrollment (n = 364). Multivariate regression models were used to determine 12-month postindex differences in health care use and costs between participants and control subjects while adjusting for age, sex, chronic disease burden, EFP attendance, prevention score, heart registry, and respective baseline use and costs., Results: Participants and control subjects were similar at baseline with respect to age (75 +/- 5.5 years), A1C levels (7.4 +/- 1.4%), chronic disease burden, prevention score, and health care use and costs. After exposure to the program, there was a trend toward lower hospital admissions in EFP participants compared with control subjects (13.5 vs. 20.9%, P = 0.08), whereas total health care costs were not different (P = 0.39). EFP participants who attended > or = 1 exercise session/week on average had approximately 41% less total health care costs compared with those attending <1 session/week (P = 0.03) and with control subjects (P = 0.02)., Conclusions: Although elective participation in a community-based physical activity benefit at any level was not associated with lower inpatient or total health care costs, greater participation in the program may lower health care costs. These findings warrant additional investigations to determine whether policies to offer and promote a community-based physical activity benefit in older adults with diabetes can reduce health care costs.