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Utilization of a Free Fitness Center-Based Exercise Referral Program Among Women with Chronic Disease Risk Factors
Author(s) -
Megan R. Waterman,
John Wiecha,
Jennifer Manne,
Stephen M. Tringale,
Elizabeth Costa,
Jean Wiecha
Publication year - 2014
Publication title -
journal of community health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.822
H-Index - 63
eISSN - 1573-3610
pISSN - 0094-5145
DOI - 10.1007/s10900-014-9874-2
Subject(s) - referral , medicine , family medicine , gerontology , medical record , physical fitness , physical therapy , community health center , disease , diabetes mellitus , endocrinology
Physical activity (PA) reduces the risk for a number of chronic diseases including heart disease, hypertension, hyperlipidemia, and diabetes mellitus type 2. However, most Americans do not meet expert recommendations for exercise, and minorities and low-income persons are the most inactive. Community-based approaches to promoting PA include primary care exercise referral programs. This study examines patient characteristics associated with utilization of a community health center-based exercise referral program. Adult female patients of a community health center with an affiliated fitness center, in Boston, MA, were included in the study if they received a referral to the fitness center from their primary care provider. Demographic and medical information was abstracted from the medical chart, and fitness records were abstracted to measure activation of a fitness center membership (creation of an account denoting at least an initial visit) and utilization over time. Overall, 503 (40%) of the 1,254 referred women in the study sample activated their membership. Black women were almost 60% more likely to activate their membership (adjusted OR 1.6, 95% CI 1.2-2.2), and women with higher co-morbidity counts were almost 45% more likely to activate (adjusted OR 1.4, 95% CI 1.0-2.0). Once activated, a minority of women participated at levels likely to improve cardiometabolic fitness. Of the 503 activations, 96 (19%) had no participation, 359 (71%) had low participation, and only 48 (10%) had high participation. No independent predictors of participation were identified. These findings suggest that program design may benefit from developing activation, initial participation, and retention strategies that address population-specific barriers.

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