Evidence map›Paper›PMID 40761810›Full record

SynthesisFrontiers in digital health2025

Effectiveness of mHealth interventions targeting physical activity, sedentary behaviour, sleep or nutrition on emotional, behavioural and eating disorders in adolescents: a systematic review and meta-analysis.

H Baumann, B Singh, A E Staiano, C Gough, M Ahmed, J Fiedler, I Timm, K Wunsch, A Button, Z Yin and 10 more

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

H BaumannMovement-oriented Prevention and Rehabilitation, German Sport University Cologne, Cologne, North Rhine-Westphalia, Germany.
B SinghAllied Health & Human Performance Academic Unit, University of South Australia, Adelaide, SA, Australia.
A E StaianoDepartment of Pediatric Obesity and Health Behavior, Pennington Biomedical Research Center, Baton Rouge, LA, United States.
C GoughCollege of Nursing and Health Sciences, Flinders University, Adelaide, SA, Australia.
M AhmedDepartment of Nutritional Sciences and Joannah and Brian Lawson Centre for Child Nutrition, University of Toronto, Toronto, ON, Canada.
J FiedlerInstitute of Sport and Sport Science, Karlsruhe Institute of Technology, Karlsruhe, Karlsruhe, Baden-Württemberg, Germany.
I TimmInstitute of Sport and Sport Science, Karlsruhe Institute of Technology, Karlsruhe, Karlsruhe, Baden-Württemberg, Germany.
K WunschInstitute of Sport and Sport Science, Karlsruhe Institute of Technology, Karlsruhe, Karlsruhe, Baden-Württemberg, Germany.
A ButtonDepartment of Psychiatry, Virginia Commonwealth University, Richmond, VA, United States.
Z YinDepartment of Health and Kinesiology, University of Texas at San Antonio, San Antonio, TX, United States.
M F VasiloglouIndependent Researcher, Bern, Switzerland.
B SivakumarFaculty of Health Sciences, Ontario Tech University, Oshawa, ON, Canada.
J M PetersenCollege of Nursing and Health Sciences, Flinders University, Adelaide, SA, Australia.
J DallingaCentre of Expertise Health Innovation, The Hague University of Applied Sciences, Den Haag, South Holland, Netherlands.
C HuongDepartment of Health and Kinesiology, University of Texas at San Antonio, San Antonio, TX, United States.
S SchoeppePhysical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton, QLD, Australia.
C L KrachtDivision of Physical Activity and Weight Management, Department of Internal Medicine, University of Kansas Medical Centre, Kansas City, KS, United States.
K SpringAllied Health & Human Performance Academic Unit, University of South Australia, Adelaide, SA, Australia.
C MaherAllied Health & Human Performance Academic Unit, University of South Australia, Adelaide, SA, Australia.
C VandelanottePhysical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton, QLD, Australia.

Funding

longitudinal assessment of stress and stress-related concepts across a behavioral weight loss interventionP20GM144269 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI John P Thyfault, STEVEN A WEINMAN · 2022 to 2026
$14.9M
NICHD NIH HHS L40 HD109931NIGMS NIH HHS P20 GM144269
6 · The paper itself

Abstract

Introduction: Mental health conditions are highly prevalent among adolescents, affecting one in seven individuals and accounting for 15% of the global disease burden in this age group. The promotion of health behaviours including physical activity, nutrition, and sleep, and reduction of sedentary behaviour, has been shown to significantly improve symptoms of mental health conditions in adolescents. However, addressing this public health challenge at a population level requires scalable interventions, such as mobile health (mHealth) interventions. However, the effectiveness of mHealth interventions in achieving clinically meaningful mental health improvements for adolescents with emotional, behavioural, or eating disorders remains unclear. Therefore, this systematic review and meta-analysis evaluated the effectiveness of mHealth behaviour change interventions aimed at improving physical activity (PA), sedentary behaviour (SB), nutrition, or sleep on outcomes related to emotional, behavioural, and eating disorders in adolescents. Methods: A systematic review and meta-analysis were conducted in accordance with PRISMA guidelines (PROSPERO ID: CRD42024591285). Eight databases were searched for randomized controlled trials (RCTs) published up to September 2024. Eligible studies included participants in early (11-14 years), middle (15-17 years) and late (18-21 years) adolescence with clinical diagnosis or self-report of emotional, behavioural, or eating disorders, where interventions targeted physical activity, sedentary behaviour, nutrition, or sleep. The cochrane risk of bias 2.0 (ROB2) and cochrane grading of recommendations assessment, development and evaluation tool (GRADE) were applied. Pooled effect sizes were calculated as standardized mean differences (SMD) with 95% confidence intervals using random-effect models. Results: Nine RCTs involving 3,703 participants were analysed across emotional, behavioural, and eating disorders. The meta-analysis yielded a significant reduction in anxiety (6 Studies, 2086 participants, SMD [95% CI] = -0.19 [-0.37, -0.01], Discussion: These findings suggest that mHealth interventions incorporating health behavior modifications may effectively reduce anxiety and eating disorder symptoms in adolescents. However, modest and mixed effects on depression and behavioural disorders, together with a low number of included studies, considerable heterogeneity and low certainty of evidence, underscore the need for further high-quality RCTs to evaluate long-term efficacy. Combining mHealth interventions with standard clinical care may enhance symptom improvements in adolescents. Systematic Review Registration: identifier (CRD42024591285).

Indexed as

adolescent mental healthdigital interventionsmobile healthnutritionphysical activitysedentary behaviorsleep

Identifiers

PMID40761810
PMCPMC12318977

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.