Evidence map›Paper›PMID 31730042›Full record

Trial reportJMIR mHealth and uHealth2019

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.

Mengting Zhu, Weiping Cai, Linghua Li, Yan Guo, Aliza Monroe-Wise, Yiran Li, Chengbo Zeng, Jiaying Qiao, Zhimeng Xu, Hanxi Zhang and 2 more

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05003518 (ParentText User Engagement and Effectiveness Study), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
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.

NCT05003518 naterminatednot on this mapstarted 2022, after this paper: background citation

ParentText User Engagement and Effectiveness Study

TypeinterventionalSponsorUniversity of OxfordRan2022 to 2022Enrolled1,400ConditionsEngagement, Positive Parenting, Child Maltreatment, Intimate Partner ViolenceArmsParentText
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Review
  5. Article
  6. Review
  7. Leveraging mHealth for the Treatment and Management of PLHIV.Risk management and healthcare policy · 2023
    Article
  8. 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 at 5 institutions in 2 countries.

Mengting Zhu *Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-7247-7620
Weiping Cai *Department of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou, China.ORCID 0000-0002-1287-0623
Linghua Li *Department of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou, China.ORCID 0000-0001-5711-8681
Yan Guo *Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-8754-1090
Aliza Monroe-Wise *Department of Global Health, University of Washington, Seattle, WA, United States.ORCID 0000-0002-8843-3462
Yiran Li *Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-4704-8728
Chengbo ZengSouth Carolina SmartState Center of Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.ORCID 0000-0002-3512-1115
Jiaying QiaoDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0003-1171-5098
Zhimeng XuDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0003-1042-9786
Hanxi ZhangNational Center of AIDS/STD Control and Prevention, China Center for Disease Control, Beijing, China.ORCID 0000-0002-2193-9581
Yu ZengDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-2604-9502
Cong LiuDepartment of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou, China.ORCID 0000-0001-7147-8923
Sun Yat-sen University · CNGuangzhou Eighth People's Hospital · CNNational Center for AIDS/STD Control and Prevention,China CDC · CNUniversity of South Carolina · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough several studies have investigated the effects of mobile health (mHealth) interventions on depression among people living with HIV, few studies have explored mediators of mHealth-based interventions to improve mental health in people living with HIV. Identifying influential mediators may enhance and refine effective components of mHealth interventions to improve mental health of people living with HIV.

objectiveThis study aimed to examine mediating factors of the effects of a mHealth intervention, Run4Love, designed to reduce depression among people living with HIV using 4 time-point measurement data.

methodsThis study used data from a randomized controlled trial of a mHealth intervention among people living with HIV with elevated depressive symptoms in Guangzhou, China. A total of 300 patients were assigned to receive either the mHealth intervention (n=150) or a waitlist control group (n=150) through computer-generated block randomization. Depressive symptoms, coping, and HIV-related stigma were measured at baseline, 3-, 6-, and 9-month follow-ups. The latent growth curve model was used to examine the effects of the intervention on depressive symptoms via potential mediators. Mediating effects were estimated using bias-corrected 95% bootstrapped CIs (BCIs) with resampling of 5000.

resultsEnhanced positive coping and reduced HIV-related stigma served as effective treatment mediators in the mHealth intervention. Specially, there was a significant indirect effect of the mHealth intervention on the slope of depressive symptoms via the slope of positive coping (beta=-2.86; 95% BCI -4.78 to -0.94). The indirect effect of the mHealth intervention on the slope of depressive symptoms via the slope of HIV-related stigma was also statistically significant (beta=-1.71; 95% BCI -3.03 to -0.40). These findings indicated that enhancement of positive coping and reduction of HIV-related stigma were important mediating factors of the mHealth intervention in reducing depression among people living with HIV.

conclusionsThis study revealed the underlying mediators of a mHealth intervention to reduce depression among people living with HIV using latent growth curve model and 4 time-point longitudinal measurement data. The study results underscored the importance of improving positive coping skills and mitigating HIV-related stigma in mHealth interventions to reduce depression among people living with HIV.

Indexed as

AdultChinaDepressionFemaleHIV InfectionsHumansMaleMiddle AgedPsychometricsQuality of Health CareSurveys and QuestionnairesTelemedicinedepressionHIVlongitudinal studiesmobile healthrandomized controlled trial

Identifiers

PMID31730042
PMCPMC6884715
OpenAlexW2986976316

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.