BACKGROUND: Many different constructs are used currently in the literature to assess exercise adherence. This study examined whether the same or different variables predict exercise attendance and exercise completion among sedentary older adults. METHODS: Thirty-seven randomized control trials were selected from articles published between 1980 and 2000 that tested exercise interventions for sedentary older adults. Block-entry, weighted, hierarchical meta-regression analyses were conducted. RESULTS: Different factors predicted attendance and completion. Group-based (P < .05) and resistance exercise (P < .1) predicted higher attendance rates than individual-based and aerobic exercise. In contrast, facility-based exercise was associated with higher completion rates than homebased exercise (P < .1). CONCLUSIONS: Results show that completing a program is not synonymous with good attendance. Program designers need to consider different strategies to boost both of these rates that need to be maximized to best benefit program participants.
BACKGROUND: Many different constructs are used currently in the literature to assess exercise adherence. This study examined whether the same or different variables predict exercise attendance and exercise completion among sedentary older adults. METHODS: Thirty-seven randomized control trials were selected from articles published between 1980 and 2000 that tested exercise interventions for sedentary older adults. Block-entry, weighted, hierarchical meta-regression analyses were conducted. RESULTS: Different factors predicted attendance and completion. Group-based (P < .05) and resistance exercise (P < .1) predicted higher attendance rates than individual-based and aerobic exercise. In contrast, facility-based exercise was associated with higher completion rates than homebased exercise (P < .1). CONCLUSIONS: Results show that completing a program is not synonymous with good attendance. Program designers need to consider different strategies to boost both of these rates that need to be maximized to best benefit program participants.
Authors: Melissa M Markofski; Kristofer Jennings; Kyle L Timmerman; Jared M Dickinson; Christopher S Fry; Michael S Borack; Paul T Reidy; Rachel R Deer; Amanda Randolph; Blake B Rasmussen; Elena Volpi Journal: J Gerontol A Biol Sci Med Sci Date: 2019-09-15 Impact factor: 6.053