Literature DB >> 35432625

App-based Mindfulness Training for Adolescent Rumination: Predictors of Immediate and Cumulative Benefit.

Christian A Webb1, Caroline M Swords2, Laura Murray1, Lori M Hilt2.   

Abstract

Objectives: Rumination is a transdiagnostic risk factor for depression and anxiety, which surge during the adolescent years. Mindfulness training - with its emphasis on metacognitive awareness and present-moment attention - may be effective at reducing rumination. Mindfulness apps offer a convenient, engaging, and cost-effective means for accessing mindfulness training for teens. Despite their increasing popularity among adolescents, no study to date has investigated which teens are well-suited to app-based mindfulness training.
Methods: Eighty adolescents (M age = 14.01 years, 45% girls) with elevated rumination were enrolled in a 3-week trial of app-based mindfulness training. Repeated daily ecological momentary assessment (EMA) surveys assessed problem-focused and emotion-focused rumination immediately prior to and following each mindfulness exercise. Elastic net regularization (ENR) models tested baseline predictors of "immediate" (post-mindfulness exercise) and "cumulative" (post-3-week intervention) benefit from app-based mindfulness training.
Results: Ninety percent (72/80) of adolescents completed the 3-week trial, and the mean number of mindfulness exercises completed was 28.7. Baseline adolescent characteristics accounted for 14%-25% of the variance in outcomes (i.e., reduction in problem-focused or emotion-focused rumination). Higher baseline rumination, and lower emotional suppression, predicted better immediate and cumulative outcomes. In contrast, female gender and older age predicted better immediate, but not cumulative, outcomes. Differences in results across outcome timeframes (immediate vs. cumulative) are discussed. Conclusions: Findings from this study highlight the potential of data-driven approaches to inform which adolescent characteristics may predict benefit from engaging with an app-based mindfulness training program. Additional research is needed to test these predictive models against a comparison (non-mindfulness) condition.

Entities:  

Keywords:  adolescents; mindfulness; prediction; rumination; smartphone app

Year:  2021        PMID: 35432625      PMCID: PMC9009760          DOI: 10.1007/s12671-021-01719-0

Source DB:  PubMed          Journal:  Mindfulness (N Y)        ISSN: 1868-8527


  40 in total

1.  MissForest--non-parametric missing value imputation for mixed-type data.

Authors:  Daniel J Stekhoven; Peter Bühlmann
Journal:  Bioinformatics       Date:  2011-10-28       Impact factor: 6.937

Review 2.  How do mindfulness-based cognitive therapy and mindfulness-based stress reduction improve mental health and wellbeing? A systematic review and meta-analysis of mediation studies.

Authors:  Jenny Gu; Clara Strauss; Rod Bond; Kate Cavanagh
Journal:  Clin Psychol Rev       Date:  2015-01-31

3.  A habit-goal framework of depressive rumination.

Authors:  Edward R Watkins; Susan Nolen-Hoeksema
Journal:  J Abnorm Psychol       Date:  2014-02

4.  Personalized prognostic prediction of treatment outcome for depressed patients in a naturalistic psychiatric hospital setting: A comparison of machine learning approaches.

Authors:  Christian A Webb; Zachary D Cohen; Courtney Beard; Marie Forgeard; Andrew D Peckham; Thröstur Björgvinsson
Journal:  J Consult Clin Psychol       Date:  2020-01

5.  Rumination as a transdiagnostic factor in depression and anxiety.

Authors:  Katie A McLaughlin; Susan Nolen-Hoeksema
Journal:  Behav Res Ther       Date:  2010-12-30

Review 6.  Reflecting on rumination: Consequences, causes, mechanisms and treatment of rumination.

Authors:  Edward R Watkins; Henrietta Roberts
Journal:  Behav Res Ther       Date:  2020-01-31

Review 7.  Treatment Selection in Depression.

Authors:  Zachary D Cohen; Robert J DeRubeis
Journal:  Annu Rev Clin Psychol       Date:  2018-03-01       Impact factor: 18.561

8.  Brooding rumination and risk for depressive disorders in children of depressed mothers.

Authors:  Brandon E Gibb; Marie Grassia; Lindsey B Stone; Dorothy J Uhrlass; John E McGeary
Journal:  J Abnorm Child Psychol       Date:  2012-02

9.  Regularization Paths for Generalized Linear Models via Coordinate Descent.

Authors:  Jerome Friedman; Trevor Hastie; Rob Tibshirani
Journal:  J Stat Softw       Date:  2010       Impact factor: 6.440

Review 10.  Towards an Individual Differences Perspective in Mindfulness Training Research: Theoretical and Empirical Considerations.

Authors:  Rongxiang Tang; Todd S Braver
Journal:  Front Psychol       Date:  2020-05-19
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