Symposia
Telehealth/m-Health
Christian A. Webb, Ph.D. (he/him/his)
Associate Professor
Harvard Medical School & McLean Hospital
Belmont, Massachusetts
Caroline Swords, B.A. (she/her/hers)
Research Associate
Lawrence University
Appleton, Wisconsin
Lori Hilt, PhD (she/her/hers)
Professor and Chair
Lawrence University
Appleton, Wisconsin
Background: Rumination heightens risk for depression and anxiety, which increase substantially during adolescence. Smartphone apps offer a convenient and cost-effective means for adolescents to access mindfulness training, which may reduce rumination. Despite their increasing popularity, it is unclear which adolescents benefit from mindfulness apps.
Method: This presentation will report data from two trials in which adolescents with elevated trait rumination were randomly assigned to 3 weeks of app-based mindfulness training or a mood monitoring control condition. Multilevel models tested group differences in state rumination change, assessed via ecological momentary assessment. Baseline adolescent characteristics were submitted to elastic net regularization models to develop personalized predictions of an individual’s expected outcome from the mindfulness app relative to the control. Finally, we translated a predictive model (developed in an external sample) for personalized recommendations of expected benefit from the mindfulness app.
Results: Adolescents in the mindfulness app condition reported significantly greater reductions in rumination than adolescents in the control condition (t(134.5) = 3.20, p = .002; d = 0.46). Individuals predicted to have better outcomes from the mindfulness app relative to mood monitoring had significantly greater reductions in rumination if randomly assigned to the mindfulness condition (t(84.8) = −2.78, p < .01, d = 0.58). Between-condition differences in outcome were not significant for adolescents predicted to have better outcomes in the mood monitoring condition (t(37.6) = −1.19, p = .24; d = 0.31).
Conclusions: Findings support the efficacy of a mindfulness app to reduce state rumination in adolescents, particularly among adolescents high in trait rumination. A predictive model is put forth, which could be used to objectively communicate expected mindfulness app outcomes to adolescents prior to engagement in app-based mindfulness training.