How do mobile health applications support behaviour changes? A scoping review of mobile health applications relating to physical activity and eating behaviours

Aromatario, Olivier; Hoye, Aurélie Van; Vuillemin, Anne; Foucaut, Aude-Marie; Crozet, Cyril; Pommier, Jeanine; Cambon, Linda

doi:10.1016/j.puhe.2019.06.011

Cited by 41 publications

(41 citation statements)

References 64 publications

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“…mediators of the intervention effect) (Glanz & Bischop, 2010;Michie & Johnston, 2012;Prestwich, Webb, & Conner, 2015). However, as most intervention studies do not report the mechanisms of efficacy, more knowledge of effective motivational working mechanisms of PA interventions is needed (Aromatario et al, 2019). By conducting mediation analyses one can gain insight into which motivational determinants of PA are effectively influenced by the intervention, and whether any changes in these putative mediators are responsible for the intervention effect on PA.…”

Section: Introductionmentioning

confidence: 99%

Motivational factors for initiating and maintaining physical activity among adults aged over fifty targeted by a tailored intervention

Peels

Verboon

Stralen³

et al. 2020

Psychology & Health

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Objective: To provide insight into the motivational working mechanisms (i.e. mediators) of an effective physical activity (PA) intervention for adults aged over fifty. Design: The mediation model (N ¼ 822) was investigated in an RCT for the total intervention population, participants who were not norm-active at baseline (targeting PA initiation) and normactive participants (targeting PA maintenance) separately. Main Outcome Measures: Potential mediators (attitude, self-efficacy, intention, action planning and coping planning) of the effect on PA (6-months) were assessed at baseline, 3 and/or 6 months. Results: The intervention resulted in a decrease in intention (B¼ À.209; p¼.017), and an increase in action planning (B¼.214; p¼.018) and PA (B¼.220; p¼.002). Intention and action planning did not mediate the effect on PA. Self-efficacy, although not significantly influenced by the intervention, was found to be the only motivational variable that predicted change in PA (B¼.164; p¼.007). These results were confirmed among participants initiating PA. Among norm-active participants no significant intervention effects were identified. Conclusion: The motivational factors cannot explain the intervention effect on PA. Most likely, the effect can be explained by an interaction between the motivational factors together. Differences between participants initiating versus maintaining PA, highlight the importance of performing mediation analyses per subgroup.

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Section: Introductionmentioning

confidence: 99%

Motivational factors for initiating and maintaining physical activity among adults aged over fifty targeted by a tailored intervention

Peels

Verboon

Stralen³

et al. 2020

Psychology & Health

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“…As a result, some authors have advocated for the use of process evaluations to complement the effectiveness evaluations when assessing this ‘black box’. 5 40 41 …”

Section: Discussionmentioning

confidence: 99%

“…It is tempting to conclude that the e-TIS was effective if used intensively, which would be consistent with previous results on the relationship between use frequency and efficacy. 5 42 However, it is likely that the most motivated participants used the app for a longer time; this motivation, rather than the duration or frequency of use, would have improved the results. This idea is consistent with the findings of prior studies, in which the most motivated people were those who used the apps more frequently.…”

Section: Discussionmentioning

confidence: 99%

“…This idea is consistent with the findings of prior studies, in which the most motivated people were those who used the apps more frequently. 5 43 In the same way, it is possible that it is a feedback loop between engagement and effectiveness. 44 However, in our population, there is no relationship between motivation at inclusion and subsequent use (data not shown), which is an argument for the effectiveness of exposure to the application.…”

Section: Discussionmentioning

confidence: 99%

“… 3 4 Nonetheless, these health apps appear to be used more effectively and for longer periods of time when they offer support that extends beyond motivation maintenance and contributions to self-knowledge. 5 …”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Effectiveness of the e-Tabac Info Service application for smoking cessation: a pragmatic randomised controlled trial

Affret

Luc²,

Baumann³

et al. 2020

BMJ Open

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ObjectiveTo compare the effectiveness of the mobile e-Tabac Info Service (e-TIS) application (app) for helping adult smokers quit smoking with current practices.DesignPragmatic randomised controlled trial with a 1-year follow-up (2017–2018).SettingFrance, population-wide level.Participants2806 adult smokers who wished to quit smoking were recruited via the website of the French National Mandatory Health Insurance fund. Of them, 1400 were randomised to the e-TIS app arm and 1406 were randomised to the current practices arm (control).InterventionThe app involved personalised interactive contacts that included questionnaires, advice, activities and text messages. All contacts were individually tailored and based on each smoker’s progress.In the control group, recommended practices for quitting smoking were described on a non-interactive website.Primary and secondary outcomes measuresThe primary outcome was 7-day point prevalence abstinence (PPA) at 6 months. The secondary outcomes included continuous abstinence rates at 6 and 12 months, minimum 24-hour point abstinence at 3 months, minimum 30-day point abstinence at 12 months and number and duration of quit attempts.ResultsThere was no difference between the e-TIS and control arms for the primary outcome (12.6% vs 13.7% for 7-day PPA at 6 months, p=0.3949, intention-to-treat analysis). However, e-TIS participants with high levels of exposure to the app, which was defined by the completion of at least eight activities or questionnaires, showed higher rates of smoking cessation than the control participants (17.6% vs 12.9% for 7-day PPA at 6 months, p=0.0169, per-protocol analysis).ConclusionUse of the e-TIS app was not associated with a higher rate of smoking cessation. However, high level of exposure to the e-TIS app may have been more effective than current practices.Trial registration numberNCT02841683.

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Automation of Data Processing for Patient Monitoring in the Smart Ward Environment

Levonevskiy

Motienko

Tsentsiper

et al. 2023

Lecture Notes in Networks and Systems

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How do mobile health applications support behaviour changes? A scoping review of mobile health applications relating to physical activity and eating behaviours

Cited by 41 publications

References 64 publications

Motivational factors for initiating and maintaining physical activity among adults aged over fifty targeted by a tailored intervention

Motivational factors for initiating and maintaining physical activity among adults aged over fifty targeted by a tailored intervention

Effectiveness of the e-Tabac Info Service application for smoking cessation: a pragmatic randomised controlled trial

Automation of Data Processing for Patient Monitoring in the Smart Ward Environment

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