Cited by 317Mobile Health and mHealth ApplicationsDigital Mental Health InterventionsMobile Learning in Education

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Mobile Health Interventions for Improving Health Outcomes in Youth: A Meta-analysis

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Fedele, David A., Cushing, Christopher C., Fritz, Alyssa, Amaro, Christina M., Ortega, Adrian·2017·JAMA Pediatrics

DOI 10.1001/jamapediatrics.2017.0042PMC PMC6037338

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Abstract

Importance: Mobile health interventions are increasingly popular in pediatrics; however, it is unclear how effective these interventions are in changing health outcomes. Objective: To determine the effectiveness of mobile health interventions for improving health outcomes in youth 18 years or younger. Data Sources: Studies published through November 30, 2016, were collected through PubMed, Cumulative Index to Nursing and Allied Health Literature, Educational Resources Information Center, and PsychINFO. Backward and forward literature searches were conducted on articles meeting study inclusion criteria. Search terms included telemedicine, eHealth, mobile health, mHealth, app, and mobile application. Study Selection: Search results were limited to infants, children, adolescents, or young adults when possible. Studies were included if quantitative methods were used to evaluate an application of mobile intervention technology in a primary or secondary capacity to promote or modify health behavior in youth 18 years or younger. Studies were excluded if the article was an unpublished dissertation or thesis, the mean age of participants was older than 18 years, the study did not assess a health behavior and disease outcome, or the article did not include sufficient statistics. Inclusion and exclusion criteria were applied by 2 independent coders with 20% overlap. Of 9773 unique articles, 36 articles (containing 37 unique studies with a total of 29 822 participants) met the inclusion criteria. Data Extraction and Synthesis: Of 9773 unique articles, 36 articles (containing 37 unique studies) with a total of 29 822 participants met the inclusion criteria. Effect sizes were calculated from statistical tests that could be converted to standardized mean differences. All aggregate effect sizes and moderator variables were tested using random-effects models. Main Outcomes and Measures: Change in health behavior or disease control. Results: A total of 29 822 participants were included in the studies. In studies that reported sex, the total number of females was 11 226 (53.2%). Of those reporting age, the average was 11.35 years. The random effects aggregate effect size of mobile health interventions was significant (n = 37; Cohen d = 0.22; 95% CI, 0.14-0.29). The random effects model indicated that providing mobile health intervention to a caregiver increased the strength of the intervention effect. Studies that involved caregivers in the intervention produced effect sizes (n = 16; Cohen d = 0.28; 95% CI, 0.18-0.39) larger than those that did not include caregivers (n = 21; Cohen d = 0.13; 95% CI, 0.02-0.25). Other coded variables did not moderate study effect size. Conclusions and Relevance: Mobile health interventions appear to be a viable health behavior change intervention modality for youth. Given the ubiquity of mobile phones, mobile health interventions offer promise in improving public health.

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Additional file 1 of Face-to-face physical activity incorporated into dietary intervention for overweight/obesity in children and adolescents: a Bayesian network meta-analysis
Liang, J. H., Zhao, Y., Chen, Y. C., Jiang, N., Zhang, S. X., Huang, S., Kakaer, A., & Chen, Y. J. (2022) · Figshare · doi:10.6084/m9.figshare.20861040
Additional file 3 of Face-to-face physical activity incorporated into dietary intervention for overweight/obesity in children and adolescents: a Bayesian network meta-analysis
Liang, J. H., Zhao, Y., Chen, Y. C., Jiang, N., Zhang, S. X., Huang, S., Kakaer, A., & Chen, Y. J. (2022) · Figshare · doi:10.6084/m9.figshare.20861046
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Additional file 4 of Face-to-face physical activity incorporated into dietary intervention for overweight/obesity in children and adolescents: a Bayesian network meta-analysis
Liang, J. H., Zhao, Y., Chen, Y. C., Jiang, N., Zhang, S. X., Huang, S., Kakaer, A., & Chen, Y. J. (2022) · Figshare · doi:10.6084/m9.figshare.20861049
Additional file 3 of Feasibility and acceptability of a technology-based, rural weight management intervention in older adults with obesity
Batsis, J. A., Petersen, C. L., Clark, M. M., Cook, S. B., Kotz, D., Gooding, T., Roderka, M. N., Al-Nimr, R. I., Pidgeon, D., Haedrich, A., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13566020
Additional file 4 of Feasibility and acceptability of a technology-based, rural weight management intervention in older adults with obesity
Batsis, J. A., Petersen, C. L., Clark, M. M., Cook, S. B., Kotz, D., Gooding, T., Roderka, M. N., Al-Nimr, R. I., Pidgeon, D., Haedrich, A., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13566023
Additional file 1 of Feasibility and acceptability of a technology-based, rural weight management intervention in older adults with obesity
Batsis, J. A., Petersen, C. L., Clark, M. M., Cook, S. B., Kotz, D., Gooding, T., Roderka, M. N., Al-Nimr, R. I., Pidgeon, D., Haedrich, A., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13566014
Additional file 2 of Face-to-face physical activity incorporated into dietary intervention for overweight/obesity in children and adolescents: a Bayesian network meta-analysis
Liang, J. H., Zhao, Y., Chen, Y. C., Jiang, N., Zhang, S. X., Huang, S., Kakaer, A., & Chen, Y. J. (2022) · Figshare · doi:10.6084/m9.figshare.20861043

Authors: Fedele, D. A., Cushing, C. C., Fritz, A., Amaro, C. M., & Ortega, A.
Affiliations: University of Florida Health (US)
University of Kansas (US)
Corresponding author: Fedele, David A.
ORCID: Fedele, David A.
Cushing, Christopher C.
Amaro, Christina M.
Ortega, Adrian
Venue: JAMA Pediatrics
Publisher: American Medical Association (AMA)
Published: 2017-05-01
Volume: 171
Issue: 5
Pages: 461
ISSN: 1072-4710 (ISSN-L)
2168-6203
DOI: 10.1001/jamapediatrics.2017.0042
PMC: PMC6037338
OpenAlex: W2601896593
Cited by: 316
References: 56
Citations by year: 2026: 19 · 2025: 28 · 2024: 24 · 2023: 29 · 2022: 48 · 2021: 58 · 2020: 38 · 2019: 31 · 2018: 34 · 2017: 6
FWCI: 48.32
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Locations: Archives of Pediatrics and Adolescent Medicine (publishedVersion)
Europe PMC (PubMed Central) (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Topics: Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
Keywords: mobile health intervention, mobile health, youth health, health behavior change, disease control, adolescents, children, caregivers, telemedicine, eHealth apps, intervention effectiveness, effect size, child health promotion, disease prevention, health disparities, healthcare workers
MeSH terms: Adolescent, Child, Female, Health Promotion, Humans, Infant, Male, Health Behavior, Telemedicine, Young Adult

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