Study selection: Randomized controlled trials published after 2007 with (former) healthcare patients ≥ 21 years of age were included if physical activity was measured objectively using a wearable monitor for both feedback and outcome assessment. The main goal of included studies was promoting physical activity. Any concurrent strategies were related only to promoting physical activity. Data extraction: Effect sizes were calculated using a fixed-effects model with standardized mean difference. Information on study characteristics and interventions strategies were extracted from study descriptions. Data synthesis: Fourteen studies met the inclusion criteria (total n = 1,902), and 2 studies were excluded from meta-analysis. The overall effect size was in favour of the intervention groups (0.34, 95% CI 0.23–0.44, p < 0.01). Study characteristics and intervention strategies varied widely. Conclusion: Healthcare interventions using feedback on objectively monitored physical activity have a moderately positive effect on levels of physical activity. Further research is needed to determine which strategies are most effective to promote physical activity in healthcare programmes. Lay Abstract Wearable technology is progressively applied in health care and rehabilitation to provide objective insight into physical activity levels. In addition, feedback on physical activity levels delivered by wearable monitors might be beneficial for optimizing their physical activity. A systematic review and meta-analysis was conducted to evaluate the effectiveness of interventions using feedback on objectively measured physical activity in patient populations. Fourteen studies including 1902 patients were analyzed. Overall, the physical activity levels of the intervention groups receiving objective feedback on physical activity improved, compared to the control groups receiving no objective feedback. Mostly, a variety of other strategies were applied in the interventions next to wearable technology. Together with wearable technology, behavioral change strategies, such as goal-setting and action planning seem to be an important ingredient to promote physical activity in health care and rehabilitation. LinkedIn: https://www.linkedin.com/in/hanneke-braakhuis-b9277947/ https://www.linkedin.com/in/moniqueberger/
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The purpose of this study was to determine the efficacy of an online self-tracking program on physical activity, glycated hemoglobin, and other health measures in patients with type 2 diabetes. Seventy-two patients with type 2 diabetes were randomly assigned to an intervention or control group. All participants received usual care. The intervention group received an activity tracker (Fitbit Zip) connected to an online lifestyle program. Physical activity was analyzed in average steps per day from week 0 until 12. Health outcome measurements occurred in both groups at baseline and after 13 weeks. Results indicated that the intervention group significantly increased physical activity with 1.5 ± 3 days per week of engagement in 30 minutes of moderate-vigorous physical activity versus no increase in the control group (P = .047). Intervention participants increased activity with 1255 ± 1500 steps per day compared to their baseline (P < .010). No significant differences were found in glycated hemoglobin A1c, with the intervention group decreasing -0.28% ± 1.03% and the control group showing -0.0% ± 0.69% (P = .206). Responders (56%, increasing minimally 1000 steps/d) had significantly decreased glycated hemoglobin compared with nonresponders (-0.69% ± 1.18% vs 0.22% ± 0.47%, respectively; P = .007). To improve effectiveness of eHealth programs, additional strategies are needed.This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
AbstractThis study assessed the efficacy of a co-designed, school-based intervention meant to promote physical activityand fitness among Dutch prevocational secondary students. In a two-year clustered randomized controlled trial,students’ physical activity and fitness was measured by indirect and direct methods. In the intervention group,we used the triple-I procedure, a participatory action research method, to co-design the intervention together withthe students and schools. This procedure involved focus group discussions by interviewing and imagingtechniques, followed by a co-design process to align the intervention content and implementation processes withstudents’ preferences. The study involved 22 Dutch schools, with a total of 2685 13-to-14-year-old prevocationalsecondary students. Schools were randomly assigned to either intervention (11 schools, 1446 students) or controlgroup (11 schools, 1239 students).There were no significant intervention differences between students’ overallphysical activity behavior on intervention versus control schools. However, with regards to various specificphysical fitness indicators, such as the long jump, handgrip strength, shuttle run test, and the sum of skinfolds,intervention school students performed significantly better than the control group students. Furthermore, whentaking into account student participation, i.e. the success of the co-design process, schools with higher levels ofstudent participation showed higher shuttle run scores. However, such graded effects were not similarly apparentwith regards to students’ physical fitness indicators. This study showed that co-designing a comprehensivephysical activity intervention on numerous Dutch high schools via the Triple-I Interactive Method was feasible.Moreover, results showed that certain aspects of physical fitness were improved after two years of intervention,although taken together with the lack of effects on physical activity, results were mixed.
