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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: May 18, 2019
Open Peer Review Period: May 21, 2019 - Jul 16, 2019
Date Accepted: Aug 31, 2019
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Mechanisms and Effects of a WeChat-Based Intervention on Suicide Among People Living With HIV and Depression: Path Model Analysis of a Randomized Controlled Trial

Li Y, Guo Y, Hong YA, Zhu M, Zeng C, Qiao J, Xu Z, Zhang H, Zeng Y, Cai W, Li L, Liu C

Mechanisms and Effects of a WeChat-Based Intervention on Suicide Among People Living With HIV and Depression: Path Model Analysis of a Randomized Controlled Trial

J Med Internet Res 2019;21(11):e14729

DOI: 10.2196/14729

PMID: 31774411

PMCID: 6906623

Effects and Mechanisms of a WeChat-based Intervention on Suicide among People Living with HIV and Depression: A Path Model Analysis

  • Yiran Li; 
  • Yan Guo; 
  • Y. Alicia Hong; 
  • Mengting Zhu; 
  • Chengbo Zeng; 
  • Jiaying Qiao; 
  • Zhimeng Xu; 
  • Hanxi Zhang; 
  • Yu Zeng; 
  • Weiping Cai; 
  • Linghua Li; 
  • Cong Liu

ABSTRACT

Background:

People living with HIV and depression (PLWHD) have high rates of suicide. Studies of mHealth interventions have shown feasibility, acceptability, and efficacy in improving mental health in PLWHD. However, few studies have examined the effects and mechanisms of mHealth interventions on suicide.

Objective:

This study was designed to examine the effects and mechanisms of a WeChat-based intervention, Run4Love, on suicide among PLWHD in China, while considering perceived stress and depressive symptoms as mediators.

Methods:

A sample of 300 PLWHD were recruited from the outpatient clinic of a large HIV/AIDS treatment hospital and were randomized to Run4Love group or control group. Data were collected at baseline, 3-, 6- and 9-month follow-ups. Path analysis modeling with longitudinal data was used in data analyses.

Results:

The Run4Love mHealth intervention had a direct effect on reducing suicide at 6-month follow-up (β = - .18, P = .02) and indirect effect through reducing perceived stress and depressive symptoms at 3-month follow-up (β = - .09, P = .001). A partial mediating effect between perceived stress and depressive symptoms accounted for 33% of the total effect.

Conclusions:

Through path analyses, we understood the mechanisms and effects of an mHealth intervention on suicide prevention. The findings underscored the importance of stress reduction and depression treatment in such a program. We call for more effective suicide prevention, especially mHealth interventions targeting the vulnerable population of PLWHD. Clinical Trial: Chinese Clinical Trial Registry - ChiCTR-IPR-17012606; http://www.chictr.org.cn/showproj.aspx?proj=21019 (Archived by WebCite at: https://www.webcitation.org/78Bw2vouF)


 Citation

Please cite as:

Li Y, Guo Y, Hong YA, Zhu M, Zeng C, Qiao J, Xu Z, Zhang H, Zeng Y, Cai W, Li L, Liu C

Mechanisms and Effects of a WeChat-Based Intervention on Suicide Among People Living With HIV and Depression: Path Model Analysis of a Randomized Controlled Trial

J Med Internet Res 2019;21(11):e14729

DOI: 10.2196/14729

PMID: 31774411

PMCID: 6906623

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