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, ηP² = 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.
RCT Entities:
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, ηP² = 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.
Authors: Robert V Same; David I Feldman; Nishant Shah; Seth S Martin; Mahmoud Al Rifai; Michael J Blaha; Garth Graham; Haitham M Ahmed Journal: Curr Cardiol Rep Date: 2016-01 Impact factor: 2.931
Authors: Meghan R Longacre; Stuart W Grande; Karin Palmblad; Meera V Montan; Rikard P Berquist; Andreas Hager; Greg Kotzbauer Journal: JMIR Mhealth Uhealth Date: 2019-02-22 Impact factor: 4.773
Authors: Zakkoyya H Lewis; Kenneth J Ottenbacher; Steve R Fisher; Kristofer Jennings; Arleen F Brown; Maria C Swartz; Elizabeth J Lyons Journal: JMIR Res Protoc Date: 2016-04-29
Authors: Yu-Chi Chen; Christina Cheng; Richard H Osborne; Lars Kayser; Chieh-Yu Liu; Li-Chun Chang Journal: J Med Internet Res Date: 2022-01-19 Impact factor: 5.428