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The influence of individual-level determinants on compliance with mHealth walking suggestions and older adults' experiences: A longitudinal exploratory mixed methods study. | LitMetric

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Article Abstract

Promoting healthy aging through physical activity (PA) is crucial as the global population grows older. Traditional interventions often fail to engage older adults, underlining the need for personalized, timely approaches. Smartphone-delivered PA interventions can offer personalized support during opportune moments for behavioral change. The current study examined whether the receptivity of inactive older adults influences compliance with mHealth walking suggestions after inactivity, and explored their experiences with it. Thirty healthy older adults (mean age 73.9 years) participated in the study and answered event-based EMA questionnaires via HealthReact after each 30-minute inactivity period. Emotions, physical complaints, intention, self-efficacy, perceived walking, and environmental permissiveness were assessed. Walking suggestions followed each EMA, and semi-structured interviews were conducted post-study. Multilevel logistic regressions in R were applied, and qualitative data were thematically analyzed using NVivo. Results show that higher intention, self-efficacy, and environmental permissiveness positively correlated with compliance, while higher perceived walking negatively correlated. Participants generally found the suggestions motivating and well-timed, but some reported increased alertness and pressure. Consequently, tailoring interventions to individual needs and targeting receptive moments can enhance compliance and promote healthier aging through increased PA. Future mobile interventions should consider self-efficacy, intention, prior activity, and environmental conditions to improve effectiveness.

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http://dx.doi.org/10.1111/aphw.70040DOI Listing

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