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Who benefits from mobile health interventions? A dynamical systems analysis of psychological well-being in early adults.

Saida Heshmati, Chelsea Muth, Yanling Li, Robert W Roeser, Joshua M Smyth, Joachim Vandekerckhove, Sy-Miin Chow, Zita Oravecz

Applied psychology. Health and well-being June 1, 2025 DOI: 10.1111/aphw.70037 via PubMed

Summary

AI-generated from the abstract

An 8-week randomized controlled trial with 160 college-attending early adults aged 18-22 used a mobile health platform to test whether skills for psychological well-being can be learned through ecological momentary interventions. Participants were assigned to an active control group, a positive practices intervention, or a positive practices plus meditation intervention. Bayesian process modeling indicated that the mobile assessment tool itself may have improved well-being over time, shown by increased within-person mean levels, decreased intra-individual variability, and improved regulation of positive emotions and relationship quality. Moderation analysis further suggested that people who initially had low negative affect improved most in their average positive emotions and relationship quality.

Study at a glance

Characteristics Randomized controlled trial Peer reviewed
Sample size 160
Population College-attending early adults aged 18-22
Interventions positive practices positive practices and meditation
Duration 8-week intervention
Keywords Bayesian analysis Mobile health mhealth Dynamical systems modeling Early adulthood Ecological momentary interventions
Citations 3
Key finding The mobile assessment tool itself may have longitudinally improved college-attending early adults' psychological well-being, and those with low negative affect improved most in mean levels of positive emotions and relationship quality.

Abstract

Research shows that skills for improving Psychological Well-Being (PWB) may be learned through PWB interventions; however, the dynamic mechanisms underlying this learning process are not well understood. Using an Ecological Momentary Intervention (EMI) design, we conducted an 8-week Randomized Controlled Trial (N = 160; aged 18-22 years), implemented in a mobile Health (mHealth) platform to characterize these dynamical mechanisms. College-attending early adults were randomized to three groups: an active control group (N = 55); an intervention group (N = 51) with positive practices intervention; and a second intervention group (N = 54) with positive practices and meditation intervention. The mHealth implementation allowed us to introduce the interventions in participants' daily lives while also assessing their PWB (in terms of positive emotions and relationship quality) several times a day. We used a Bayesian process model to analyze changes in PWB in terms of the underlying dynamical characteristics of change. Findings suggested that the mobile assessment tool itself may have longitudinally improved college-attending early adults' PWB, as evidenced by instances of directional changes in dynamic characteristics (increased within-person mean levels, decreased intra-individual variability, and increased regulation) of PWB measures. Moderation analysis also revealed that people who were low on negative affect improved the most in terms of their mean levels of positive emotions and relationship quality.

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