Effectiveness of eHealth interventions for the promotion of physical activity in older adults: A systematic review

Muellmann, Saskia; Forberger, Sarah; Möllers, Tobias; Bröring, Eileen; Zeeb, Hajo; Pischke, Claudia R.

doi:10.1016/j.ypmed.2017.12.026

Cited by 206 publications

(193 citation statements)

References 51 publications

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“…One way to address inactive older adults’ PA behavior is via web‐based exercise interventions, which seem to effectively increase PA levels in older adults (e.g. Alley et al., ; Muellmann et al., ) and might provide a suitable (Ammann, Vandelanotte, de Vries, & Mummery, ) as well as cost‐effective and easily accessible alternative to traditional methods (Elbert et al., ; Vandelanotte et al., ).…”

Section: Introductionmentioning

confidence: 99%

Effects of Two Web‐Based Interventions and Mediating Mechanisms on Stage of Change Regarding Physical Activity in Older Adults

Ratz

Lippke

Muellmann

et al. 2019

Applied Psych Health & Well

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Background Web‐based, theory‐driven interventions effectively promote older adults’ physical activity. Social‐cognitive mechanisms of their effect on stage of change need to be further researched. Methods Older adults were randomly allocated to intervention group 1 (10‐week online physical activity program), intervention group 2 (same program plus activity tracker), or delayed intervention control group; n = 351 were analyzed (59.6% of originally allocated individuals). Stages of change for recommended endurance and strength training and social‐cognitive predictors of physical activity were assessed using questionnaires at baseline and follow‐up. Intervention effects and mediation were investigated using mixed‐effects ANOVA and ordinal least squares regression. Results Direct effects on stage of change were found for intervention group 1 regarding endurance training (bintervention group 1 = 0.44, 95% confidence interval [0.15, 0.73]), and both groups regarding strength training (bintervention group 1 = 1.02, [0.71, 1.33], bintervention group 2 = 1.24, [0.92, 1.56]). Social‐cognitive predictor changes in task self‐efficacy, intention, and action planning explained intervention effect on stage of change, but not to the full extent. Conclusions The results indicate significant web‐based intervention effects on physical activity stage, partly mediated by changes in task self‐efficacy, intention, and action planning.

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Section: Introductionmentioning

confidence: 99%

Effects of Two Web‐Based Interventions and Mediating Mechanisms on Stage of Change Regarding Physical Activity in Older Adults

Ratz

Lippke

Muellmann

et al. 2019

Applied Psych Health & Well

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“…Sixty-four of these articles were excluded due to above mentioned exclusion criteria. This resulted in a total of 11 systematic reviews and meta-analyses which were included in this umbrella review [46][47][48][49][50][51][52][53][54][55][56] (for more details see Flow-Chart in Figure 1). The updated search located 472 additional articles which were all excluded after title and abstract screening.…”

Section: Resultsmentioning

confidence: 99%

Key facets to build up eHealth and mHealth interventions to enhance physical activity, sedentary behavior and nutrition in healthy subjects – An umbrella review

Fiedler

Eckert

Wunsch

et al. 2020

Preprint

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BackgroundElectronic (eHealth) and mobile (mHealth) health interventions can provide a large coverage, and are promising tools to change health behavior (i.e. physical activity, sedentary behavior and healthy eating). However, the determinants of intervention effectiveness in primary prevention has not been explored yet. Therefore, the objectives of this umbrella review were to evaluate intervention effectiveness, to explore the impact of pre-defined determinants of effectiveness (i.e. theoretical foundations, behavior change techniques, social contexts or just-in-time adaptive interventions), and to provide recommendations for future research and practice in the field of primary prevention delivered via e/mHealth technology.MethodsPubMed, Scopus, Web of Science and the Cochrane Library were searched for systematic reviews and meta-analyses (reviews) published between January 1990 and May 2020. Reviews reporting on e/mHealth behavior change interventions in physical activity, sedentary behavior and/or healthy eating for healthy subjects were included if they also investigated respective theoretical foundations, behavior change techniques, social contexts or just-in-time adaptive interventions. Included studies were ranked concerning their methodological quality and qualitatively synthesized.ResultsThe systematic search reveled eleven systematic reviews and meta-analyses of moderate quality. The majority of original research studies within the reviews found e/mHealth interventions to be effective, but the results showed a high heterogeneity concerning assessment methods and outcomes, making them difficult to compare. Whereas theoretical foundation and behavior change techniques were suggested to be potential positive determinants of effective interventions, the impact of social context remains unclear. None of the reviews included just-in-time adaptive interventions.ConclusionFindings of this umbrella review support the use of e/mHealth to enhance physical activity and healthy eating and reduce sedentary behavior. The general lack of precise reporting and comparison of confounding variables in reviews and original research studies as well as the limited number of reviews for each health behavior constrains the generalization and interpretation of results. Further research is needed on study-level to investigate effects of versatile determinants of e/mHealth efficiency, using a theoretical foundation and additionally explore the impact of social contexts and more sophisticated approaches like just-in-time adaptive interventions.Trial registrationThe protocol for this umbrella review was a priori registered with PROSPERO: CRD42020147902.

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“…Traditionally, these kinds of applications have been designed for in‐home use in the context of assisted living, where users can, for example, communicate some vital signs to a system that logs them, provides feedback and/or forwards them to a doctor (Gronvall & Verdezoto, ), or obtain advice (Hudlicka, ). However, advances in the development of smartphones and their spread among the population provide interesting opportunities to migrate such functionality to m‐health apps that offer the possibility to make more meaningful and dynamic interventions (Muellmann et al, ; Poole, ).…”

Section: Related Workmentioning

confidence: 99%

“…In the systematic review recently presented in (Muellmann et al, 2018), e-health interventions were found effective to promote physical activity in older adults aged 55 years and above when compared to no intervention control groups, at least in the short term. Regarding the intervention intensity necessary for behavior change, the main conclusions indicate that greater engagement with web and mobile-based interventions is associated with larger effects on physical activity.…”

Section: Introductionmentioning

confidence: 99%

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A multimodal conversational coach for active ageing based on sentient computing and m‐health

2019

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As life expectancy increases, it has become more necessary to find ways to support healthy ageing. A number of active ageing initiatives are being developed nowadays to foster healthy habits in the population. This paper presents our contribution to these initiatives in the form of a multimodal conversational coach that acts as a coach for physical activities. The agent can be developed as an Android app running on smartphones and coupled with cheap widely available sport sensors in order to provide meaningful coaching. It can be employed to prepare exercise sessions, provide feedback during the sessions, and discuss the results after the exercise. It incorporates an affective component that informs dynamic user models to produce adaptive interaction strategies.

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Effectiveness of eHealth interventions for the promotion of physical activity in older adults: A systematic review

Cited by 206 publications

References 51 publications

Effects of Two Web‐Based Interventions and Mediating Mechanisms on Stage of Change Regarding Physical Activity in Older Adults

Effects of Two Web‐Based Interventions and Mediating Mechanisms on Stage of Change Regarding Physical Activity in Older Adults

Key facets to build up eHealth and mHealth interventions to enhance physical activity, sedentary behavior and nutrition in healthy subjects – An umbrella review

A multimodal conversational coach for active ageing based on sentient computing and m‐health

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