Evidence map›Paper›PMID 35175209›Full record

Trial reportJournal of medical Internet research2022

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.

Yu Zeng, Yan Guo, Rainbow Tin Hung Ho, Mengting Zhu, Chengbo Zeng, Aliza Monroe-Wise, Yiran Li, Jiaying Qiao, Hanxi Zhang, Weiping Cai and 2 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Leveraging mHealth for the Treatment and Management of PLHIV.Risk management and healthcare policy · 2023
    Article
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Yu ZengDepartment of Medical Statistic, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-2604-9502
Yan GuoDepartment of Medical Statistic, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-8754-1090
Rainbow Tin Hung HoDepartment of Social Work & Social Administration, The University of Hong Kong, Hong Kong, China.ORCID 0000-0002-6173-621X
Mengting ZhuThe Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0002-7247-7620
Chengbo ZengDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, MA, United States.ORCID 0000-0002-3512-1115
Aliza Monroe-WiseDepartment of Global Health, University of Washington, Seattle, WA, United States.ORCID 0000-0002-8843-3462
Yiran LiDepartment of Medical Statistic, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-4704-8728
Jiaying QiaoShanghai Center for Disease Control and Prevention, Shanghai, China.ORCID 0000-0003-1171-5098
Hanxi ZhangNational Center of AIDS/Sexually Transmitted Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.ORCID 0000-0002-2193-9581
Weiping CaiDepartment of Infectious Diseases, Guangzhou Number Eight People's Hospital, Guangdong, China.ORCID 0000-0002-1287-0623
Linghua LiDepartment of Infectious Diseases, Guangzhou Number Eight People's Hospital, Guangdong, China.ORCID 0000-0001-5711-8681
Cong LiuDepartment of Infectious Diseases, Guangzhou Number Eight People's Hospital, Guangdong, China.ORCID 0000-0001-7147-8923

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

objectiveThis study aims to examine positive coping as a potential mediator of the effects of an mHealth intervention on QOL among people living with HIV.

methodsFor 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.

resultsPositive 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.

conclusionsThe 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.

Indexed as

HIV InfectionsTelemedicineAdaptation, PsychologicalDepressionHumansQuality of LifeHIVmediation effectmobile healthpositive copingquality of liferandomized controlled trial

Identifiers

PMID35175209
PMCPMC8895290

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.