This paper is in the following e-collection/theme issue:

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1399) HIV/AIDS/STI Prevention and Care (873) Depression and Mood Disorders; Suicide Prevention (1363)

Published on in Vol 7, No 11 (2019): November

Mediators of Intervention Effects on Depressive Symptoms Among People Living With HIV: Secondary Analysis of a Mobile Health Randomized Controlled Trial Using Latent Growth Curve Modeling

Mediators of Intervention Effects on Depressive Symptoms Among People Living With HIV: Secondary Analysis of a Mobile Health Randomized Controlled Trial Using Latent Growth Curve Modeling

Mediators of Intervention Effects on Depressive Symptoms Among People Living With HIV: Secondary Analysis of a Mobile Health Randomized Controlled Trial Using Latent Growth Curve Modeling

Authors of this article:

Mengting Zhu1 Author Orcid Image ;   Weiping Cai2 Author Orcid Image ;   Linghua Li2 Author Orcid Image ;   Yan Guo1, 3, 4 Author Orcid Image ;   Aliza Monroe-Wise5 Author Orcid Image ;   Yiran Li1 Author Orcid Image ;   Chengbo Zeng6, 7 Author Orcid Image ;   Jiaying Qiao1 Author Orcid Image ;   Zhimeng Xu1 Author Orcid Image ;   Hanxi Zhang8 Author Orcid Image ;   Yu Zeng1 Author Orcid Image ;   Cong Liu2 Author Orcid Image
Article Authors Cited by (8) Tweetations (2) Metrics

Journals

  1. Ngien A, Jiang S. The Effect of Social Media on Stress among Young Adults during COVID-19 Pandemic: Taking into Account Fatalism and Social Media Exhaustion. Health Communication 2022;37(10):1337 View
  2. Li Y, Guo Y, Hong Y, Zeng C, Zeng Y, Zhang H, Zhu M, Qiao J, Cai W, Li L, Liu C. Mediating Effects of Stigma and Depressive Symptoms in a Social Media–Based Intervention to Improve Long-term Quality of Life Among People Living With HIV: Secondary Analysis of a Randomized Controlled Trial. Journal of Medical Internet Research 2021;23(11):e27897 View
  3. Zhao C, Ren Z, Jiang G, Zhang L. Mechanisms of change in an Internet-Based ACT study for depression in China. Journal of Contextual Behavioral Science 2022;24:51 View
  4. Molloy A, Anderson P. Engagement with mobile health interventions for depression: A systematic review. Internet Interventions 2021;26:100454 View
  5. Zeng Y, Guo Y, Ho R, Zhu M, Zeng C, Monroe-Wise A, Li Y, Qiao J, Zhang H, Cai W, Li L, Liu C. Positive Coping as a Mediator of Mobile Health Intervention Effects on Quality of Life Among People Living With HIV: Secondary Analysis of the Randomized Controlled Trial Run4Love. Journal of Medical Internet Research 2022;24(2):e25948 View
  6. Kruse C, Pacheco G, Rosenthal N, Kopp C, Omorotionmwan O, Cruz J. Leveraging mHealth for the Treatment and Management of PLHIV. Risk Management and Healthcare Policy 2023;Volume 16:677 View
  7. Morello K, Schäfer S, Kunzler A, Priesterroth L, Tüscher O, Kubiak T. Cognitive reappraisal in mHealth interventions to foster mental health in adults: a systematic review and meta-analysis. Frontiers in Digital Health 2023;5 View
  8. Angerer F, Mennel V, Grund S, Mayer A, Büscher R, Sander L, Cuijpers P, Terhorst Y, Baumeister H, Domhardt M. Mechanisms of change in digital interventions for depression: A systematic review and meta-analysis of six mediator domains. Journal of Affective Disorders 2025;368:615 View