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Zeng Y, Guo Y, Ho RTH, 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. J Med Internet Res 2022; 24:e25948. [PMID: 35175209 PMCID: PMC8895290 DOI: 10.2196/25948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Revised: 07/05/2021] [Accepted: 12/27/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The effectiveness of psychosocial interventions on quality of life (QOL) among people living with HIV has been validated, including mobile health (mHealth) interventions. However, it is unclear which components of such interventions account for these effects. OBJECTIVE This study aims to examine positive coping as a potential mediator of the effects of an mHealth intervention on QOL among people living with HIV. METHODS For this secondary analysis, we used data from an mHealth-based randomized controlled trial, Run4Love, which was conducted to improve QOL and mental health outcomes of people living with HIV. A total of 300 participants were randomly assigned to the intervention group to receive the adapted cognitive-behavioral stress management courses and regular physical activity promotion or the waitlist control group in a 1:1 ratio. Our analysis focused on positive coping and QOL, which were repeatedly measured at baseline and at 3-, 6-, and 9-month follow-ups. Latent growth curve models were constructed to explore the mediating role of positive coping in the effects of the mHealth intervention on QOL. RESULTS Positive coping served as a mediator in the effect of the mHealth intervention on QOL for up to 9 months. The mHealth intervention had a significant and positive indirect effect on the slope of QOL via the slope of positive coping (b=2.592×1.620=4.198, 95% CI 1.189-7.207, P=.006). The direct effect of the intervention was not significant (b=0.552, 95% CI -2.154 to 3.258, P=.69) when controlling for the mediator. CONCLUSIONS The longitudinal findings suggest that positive coping could be a crucial mediator of the mHealth intervention in enhancing QOL among people living with HIV. These findings underscore the importance of improving positive coping skills in mHealth interventions to improve QOL among people living with HIV.
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Affiliation(s)
- Yu Zeng
- Department of Medical Statistic, School of Public Health, Sun Yat-sen University, Guangzhou, China.,Longgang Center for Disease Control and Prevention in Shenzhen, Shenzhen, China
| | - Yan Guo
- Department of Medical Statistic, School of Public Health, Sun Yat-sen University, Guangzhou, China.,Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - Rainbow Tin Hung Ho
- Department of Social Work & Social Administration, The University of Hong Kong, Hong Kong, China.,Centre on Behavioral Health, The University of Hong Kong, Hong Kong, China
| | - Mengting Zhu
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Chengbo Zeng
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, United States
| | - Aliza Monroe-Wise
- Department of Global Health, University of Washington, Seattle, WA, United States
| | - Yiran Li
- Department of Medical Statistic, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jiaying Qiao
- Shanghai Center for Disease Control and Prevention, Shanghai, China
| | - Hanxi Zhang
- National Center of AIDS/Sexually Transmitted Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Weiping Cai
- Department of Infectious Diseases, Guangzhou Number Eight People's Hospital, Guangdong, China
| | - Linghua Li
- Department of Infectious Diseases, Guangzhou Number Eight People's Hospital, Guangdong, China
| | - Cong Liu
- Department of Infectious Diseases, Guangzhou Number Eight People's Hospital, Guangdong, China
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Guo Y, Li Y, Yu C, Xu H, Hong YA, Wang X, Zhang N, Zeng Y, Monroe-Wise A, Li L, Liu C, Cai W, Lin A. Long-term effects of a social media-based intervention, Run4Love, on depressive symptoms of people living with HIV: Three-year follow-up of a randomized controlled trial (Preprint). J Med Internet Res 2022; 24:e36809. [PMID: 35763324 PMCID: PMC9277532 DOI: 10.2196/36809] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 05/23/2022] [Accepted: 05/24/2022] [Indexed: 11/18/2022] Open
Abstract
Background Emerging studies have shown the effectiveness of mobile health (mHealth) interventions in reducing depressive symptoms among people living with HIV. Most of these studies included only short-term follow-up, with limited data on long-term effects. Objective The purpose of this study is to assess the long-term effects of a randomized controlled trial called Run4Love on depressive symptoms among people living with HIV at 1-year and 3-year follow-ups. Methods A total of 300 people living with HIV with depressive symptoms were recruited and randomized to an intervention or a control group in Guangzhou, China, from September 2017 to January 2018. The intervention group received a 3-month Run4Love program, including adapted evidence-based cognitive behavioral stress management courses and exercise promotion via WeChat (Tencent), a popular social media app. The control group received usual care and a brochure on nutrition. The primary outcome was reduction in depressive symptoms, measured using the Center for Epidemiological Studies–Depression (CES-D) scale. Data used in this study were collected at baseline and at the 1-year and 3-year follow-ups. Generalized estimating equations were used to examine the group differences at 1-year and 3-year follow-ups. Results Approximately half of the participants completed the assessment at 1-year (149/300, 49.7%) and 3-year (177/300, 59%) follow-ups. At 1-year follow-up, participants in the intervention group reported significant reduction in depressive symptoms compared with the control group (CES-D: from 23.9 to 18.1 in the intervention group vs from 24.3 to 23.3 in the control group; mean −4.79, SD 13.56; 95% CI −7.78 to −1.81; P=.002). At 3-year follow-up, between-group difference in CES-D remained statistically significant (from 23.9 to 20.5 in the intervention group vs from 24.3 to 24.4 in the control group; mean −3.63, SD 13.35; 95% CI −6.71 to −0.54; P=.02). No adverse events were reported during the 3-year follow-up period. Conclusions The mHealth intervention, Run4Love, significantly reduced depressive symptoms among people living with HIV, and the intervention effects were sustained at 1-year and 3-year follow-ups. Further research is needed to explore the mechanisms of the long-term effects of mHealth interventions such as Run4Love and to implement these effective interventions among people living with HIV. Trial Registration Chinese Clinical Trial Registry ChiCTR-IPR-17012606; https://trialsearch.who.int/Trial2.aspx?TrialID=ChiCTR-IPR-17012606 International Registered Report Identifier (IRRID) RR2-10.2196/10274
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Affiliation(s)
- Yan Guo
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - Yingqi Li
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Chuanchuan Yu
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - He Xu
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Y Alicia Hong
- Department of Health Administration and Policy, College of Health and Human Services, George Mason University, Fairfax, VA, United States
| | - Xiaolan Wang
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Nanxiang Zhang
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yu Zeng
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Aliza Monroe-Wise
- Department of Global Health, University of Washington, Seattle, WA, United States
| | - Linghua Li
- Department of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou, China
| | - Cong Liu
- Department of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou, China
| | - Weiping Cai
- Department of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou, China
| | - Aihua Lin
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
- Department of Health Service and Management, Guangzhou Xinhua University, Guangzhou, China
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