Health Promotion Through Primary Care: Enhancing Self-Management With Activity Prescription and mHealth. Issue 3 (September 2014)

• Record Type: Journal Article
• Authors: Knight, Emily; Stuckey, Melanie I.; Petrella, Robert J.
• Is Part Of: Physician and sportsmedicine. Volume 42:Issue 3(2014)
• Page Start: 90
• Page End: 99
• Publication Date: 2014-09
• Subjects: mobile health -- exercise prescription -- sedentary behavior -- primary care -- chronic -- disease prevention -- exercise is medicine; Sports medicine -- Periodicals; Sports Medicine -- Periodicals; Médecine du sport -- Périodiques; Sports medicine; Sportgeneeskunde; Periodicals; 617.1027
• DOI: 10.3810/psm.2014.09.2080
• Languages: English
• ISSNs: 0091-3847

Abstract

Abstract: Background: It is well established in the literature that regular participation in physical activity is effective for chronic disease management and prevention. Remote monitoring technologies (ie, mHealth) hold promise for engaging patients in self-management of many chronic diseases. The purpose of this study was to test the effectiveness of an mHealth study with tailored physical activity prescription targeting changes in various intensities of physical activity (eg, exercise, sedentary behavior, or both) for improving physiological and behavioral markers of lifestyle-related disease risk.Methods: Forty-five older adults (aged 55–75 years; mean age 63 ± 5 years) were randomly assigned to receive a personal activity program targeting changes to either daily exercise, sedentary behavior, or both. All participants received an mHealth technology kit including smartphone, blood pressure monitor, glucometer, and pedometer. Participants engaged in physical activity programming at home during the 12-week intervention period and submitted physical activity (steps/day), blood pressure (mm Hg), body weight (kg), and blood glucose (mmol/L) measures remotely using study-provided devices.Results: There were no differences between groups at baseline ( P > 0.05). The intervention had a significant effect (F(10 488) = 2.947, P = 0.001, η P 2 = 0.057), with similar changes across all groups for physical activity, body weight, and blood pressure ( P > 0.05). Changes in blood glucose were significantly different between groups, with groups prescribed high-intensity activity (ie, exercise) demonstrating greater reductions in blood glucose than the group prescribed changes to sedentary behavior alone ( P < 0.05).Conclusions: Findings demonstrate the utility of pairing mHealth technologies with activity prescription for prevention of lifestyle-related chronic diseases among an at-risk group of older men and women. Results support the novel approach of prescribing changes to sedentary behaviors (alone, and in conjunction with exercise) to reduce risk of developing lifestyle-related chronic conditions.