No impact of patient and intervention characteristics on the effect estimates were found .
Short conclusion Low quality of evidence was found for a moderate effect of physical activity monitor-based interventions on physical activity compared with control interventions .
Background The body of evidence related to the effect of physical activity monitor-based interventions has grown over the recent years .
However , the effect of physical activity monitor-based interventions in older adults remains unclear and should be systematic ally review ed .
Objective The objective of this systematic review was to estimate the effect of physical activity monitor-based interventions on physical activity behavior  in participants aged 65 and above .
Subsequently we explored the effect on body mass index , physical capacity , and health-related quality of life and finally the impact of patient- and intervention characteristics .
Older Adults’ Experiences Using a Commercially Available Monitor to Self-Track Their Physical Activity
Background Physical activity contributes to older adults ’ autonomy , mobility , and quality of life as they age , yet fewer than 1 in 5 engage in activities as recommended . Many older adults track their exercise using pencil and paper , or their memory . Commercially available physical activity monitors ( PAM ) have the potential to facilitate these tracking practice s and , in turn , physical activity . An assessment of older adults ’ long-term experiences with PAM is needed to underst and this potential . Objective To assess short and long-term experiences of adults > 70 years old using a PAM ( Fitbit One ) in terms of acceptance , ease-of-use , and usefulness : domains in the technology acceptance model . Methods This prospect i ve study included 95 community-dwelling older adults , all of whom received a PAM as part of r and omized controlled trial piloting a fall-reducing physical activity promotion intervention . Ten-item surveys were administered 10 weeks and 8 months after the study started . Survey ratings are described and analyzed over time , and compared by sex , education , and age . Results Participants were mostly women ( 71/95 , 75 % ) , 70 to 96 years old , and had some college education ( 68/95 , 72 % ) . Most participants ( 86/95 , 91 % ) agreed or strongly agreed that the  PAM  was easy to use , useful , and acceptable both 10 weeks and 8 months after enrolling in the study . Ratings dropped between these time points in all survey domains : ease-of-use ( median difference 0.66 points , P=.001 ) ; usefulness ( median difference 0.16 points , P=.193 ) ; and acceptance ( median difference 0.17 points , P=.032 ) . Differences in ratings by sex or educational attainment were not statistically significant at either time point . Most participants 80 + years of age ( 28/37 , 76 % ) agreed or strongly agreed with survey items at long-term follow-up , however their ratings were significantly lower than participants in younger age groups at both time points . Conclusions Study results indicate it is feasible for older adults ( 70 - 90 + years of age ) to use PAMs when self-tracking their physical activity , and provide a basis for developing recommendations to integrate PAMs into promotional efforts . Trial Registration Clinical trials.gov NCT02433249 ; https:// clinical trials.gov/ct2/show/NCT02433249 ( Archived by WebCite at http://www.webcitation.org/6gED6eh0I
No impact of patient and intervention characteristics on the effect estimates were found .
Short conclusion Low quality of evidence was found for a moderate effect of physical activity monitor-based interventions on physical activity compared with control interventions .
Background The body of evidence related to the effect of physical activity monitor-based interventions has grown over the recent years .
However , the effect of physical activity monitor-based interventions in older adults remains unclear and should be systematic ally review ed .
Objective The objective of this systematic review was to estimate the effect of physical activity monitor-based interventions on physical activity behavior  in participants aged 65 and above .
Subsequently we explored the effect on body mass index , physical capacity , and health-related quality of life and finally the impact of patient- and intervention characteristics .