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    Date Issued2017 (1)2016 (1)Author
    Going, Scott B. (2)
    Seguin, Rebecca A. (2)Barrington, Wendy E. (1)Bea, Jennifer W. (1)Corbie-Smith, Giselle (1)View MoreUMass Chan AffiliationDepartment of Medicine, Division of Preventive and Behavioral Medicine (1)Department of Quantitative Health Sciences (1)Document TypeJournal Article (2)KeywordCommunity Health and Preventive Medicine (2)Preventive Medicine (2)Women's Health (2)Place and Environment (1)UMCCTS funding (1)View MoreJournalAmerican journal of preventive medicine (1)Preventive medicine (1)

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    Changes in physical activity, sedentary time, and risk of falling: The Women's Health Initiative Observational Study

    Bea, Jennifer W.; Thomson, Cynthia A.; Wallace, Robert B.; Wu, Chunyuan; Seguin, Rebecca A.; Going, Scott B.; LaCroix, Andrea; Eaton, Charles; Ockene, Judith K.; LaMonte, Michael J.; et al. (2017-02-01)
    Falling significantly affects quality of life, morbidity, and mortality among older adults. We sought to evaluate the prospective association between sedentary time, physical activity, and falling among post-menopausal women aged 50-79 years recruited to the Women's Health Initiative Observational Study between 1993 and 1998 from 40 clinical centers across the United States. Baseline (B) and change in each of the following were evaluated at year 3 (Y3) and year 6 (Y6; baseline n=93,676; Y3 n=76,598; Y6 n=75,428): recreational physical activity (MET-h/wk), sitting, sleeping (min/day), and lean body mass by dual energy X-ray absorptiometry (subset N=6475). Falls per year (0, 1, 2, > /=3) were assessed annually by self-report questionnaire and then dichotomized as < /=1 and > /=2falls/year. Logistic regression models were adjusted for demographics, body mass index, fall history, tobacco and alcohol use, medical conditions, and medications. Higher baseline activity was associated with greater risk of falling at Y6 (18%; p for trend < 0.0001). Increasing sedentary time minimally decreased falling (1% Y3; 2% Y6; p < 0.05). Increasing activity up to > /=9MET-h/wk. (OR: 1.12, 95% CI: 1.03-1.22) or maintaining > /=9MET-h/wk. (OR: 1.20, 95% CI: 1.13-1.29) increased falling at Y3 and Y6 (p for trend < 0.001). Adding lean body mass to the models attenuated these relationships. Physically active lifestyles increased falling among post-menopausal women. Additional fall prevention strategies, such as balance and resistance training, should be evaluated to assist post-menopausal women in reaching or maintaining levels of aerobic activity known to prevent and manage several chronic diseases.
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    Neighborhood Walkability and Adiposity in the Women's Health Initiative Cohort

    Sriram, Urshila; LaCroix, Andrea Z.; Barrington, Wendy E.; Corbie-Smith, Giselle; Garcia, Lorena; Going, Scott B.; Lamonte, Michael J.; Manson, Joann E.; Sealy-Jefferson, Shawnita; Stefanick, Marcia L.; et al. (2016-11-01)
    INTRODUCTION: Neighborhood environments may play a role in the rising prevalence of obesity among older adults. However, research on built environmental correlates of obesity in this age group is limited. The current study aimed to explore associations of Walk Score, a validated measure of neighborhood walkability, with BMI and waist circumference in a large, diverse sample of older women. METHODS: This study linked cross-sectional data on 6,526 older postmenopausal women from the Women's Health Initiative Long Life Study (2012-2013) to Walk Scores for each participant's address (collected in 2012). Linear and logistic regression models were used to estimate associations of BMI and waist circumference with continuous and categorical Walk Score measures. Secondary analyses examined whether these relationships could be explained by walking expenditure or total physical activity. All analyses were conducted in 2015. RESULTS: Higher Walk Score was not associated with BMI or overall obesity after adjustment for sociodemographic, medical, and lifestyle factors. However, participants in highly walkable areas had significantly lower odds of abdominal obesity (waist circumference >88 cm) as compared with those in less walkable locations. Observed associations between walkability and adiposity were partly explained by walking expenditure. CONCLUSIONS: Findings suggest that neighborhood walkability is linked to abdominal adiposity, as measured by waist circumference, among older women and provide support for future longitudinal research on associations between Walk Score and adiposity in this population.
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