Cited by 105Digital Mental Health InterventionsAnxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesMental Health Treatment and Access

Adherence to the MoodGYM program: outcomes and predictors for an adolescent school-based population

Calear, Alison L., Christensen, Helen, Mackinnon, Andrew, Griffiths, Kathleen M.·2013·Journal of Affective Disorders

Abstract

Background Program adherence has been associated with improved intervention outcomes for mental and physical conditions. The aim of the current study is to investigate adolescent adherence to an Internet-based depression prevention program in schools to identify the effect of adherence on outcomes and to ascertain the predictors of program adherence.Methods Data for the current study (N=1477) was drawn from the YouthMood Project, which was conducted to test the effectiveness of the MoodGYM program in reducing and preventing symptoms of anxiety and depression in an adolescent school-based population. The current study compares intervention effects across three sub-groups: high adherers, low adherers and the wait-list control condition.Results When compared to the control condition, participants in the high adherence intervention group reported stronger intervention effects at post-intervention and 6-month follow-up than participants in the low adherence group for anxiety (d=0.34-0.39 vs. 0.11-0.22), and male (d=0.43-0.59 vs. 0.26-0.35) and female depression (d=0.13-0.20 vs. 0.02-0.04). No significant intervention effects were identified between the high and low adherence groups. Being in Year 9, living in a rural location and having higher pre-intervention levels of depressive symptoms or self-esteem were predictive of greater adherence to the MoodGYM program.Limitations The program trialled is Internet-based and therefore the predictors of adherence identified may not generalise to face-to-face interventions.Conclusions The current study provides preliminary support for the positive relationship between program adherence and outcomes in a school environment. The identification of significant predictors of adherence will assist in identifying the type of user who will engage most with an online depression prevention program.

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Crossref · 10.1016/j.jad.2012.11.036

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Authors
Calear, A. L., Christensen, H., Mackinnon, A., & Griffiths, K. M.
Affiliations
  • Australian National University (AU)
  • Black Dog Institute (AU)
  • The University of Melbourne (AU)
Corresponding author
Calear, Alison L.
Venue
Journal of Affective Disorders
Publisher
Elsevier BV
Published
2013-05
Volume
147
Issue
1-3
Pages
338-344
ISSN
0165-0327 (ISSN-L)
OpenAlex
W2147451901
Cited by
105
References
25
Citations by year
2026: 4 · 2025: 5 · 2024: 5 · 2023: 6 · 2022: 8 · 2021: 15 · 2020: 8 · 2019: 11 · 2018: 7 · 2017: 12 · 2016: 8 · 2015: 7 · 2014: 8 · 2013: 1
FWCI
7.17
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Affective Disorders (publishedVersion)
  • PubMed (publishedVersion)
  • ANU Open Research (Australian National University) (submittedVersion)
Funders
  • National Health and Medical Research Council (NHMRC) (1013199)
  • NHMRC (525411, 425413)
Topics
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
Keywords
program adherence, MoodGYM, adolescent depression, adolescent anxiety, school-based mental health programs, predictors of adherence, self-esteem, rural adolescents
MeSH terms
Adolescent, Anxiety, Australia, Child, Depression, Female, Humans, Male, Patient Compliance, School Health Services, Internet

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