Evidence map›Paper›PMID 35763324›Full record

Trial reportJournal of medical Internet research2022

Long-term Effects of a Social Media-Based Intervention (Run4Love) on Depressive Symptoms of People Living With HIV: 3-Year Follow-up of a Randomized Controlled Trial.

Yan Guo, Yingqi Li, Chuanchuan Yu, He Xu, Y Alicia Hong, Xiaolan Wang, Nanxiang Zhang, Yu Zeng, Aliza Monroe-Wise, Linghua Li and 3 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 8 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 3 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

8 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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

13 authors.

Yan GuoDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-8754-1090
Yingqi LiDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-5530-0487
Chuanchuan YuDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0003-3450-9457
He XuDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-2593-9861
Y Alicia HongDepartment of Health Administration and Policy, College of Health and Human Services, George Mason University, Fairfax, VA, United States.ORCID 0000-0002-1481-6495
Xiaolan WangDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-0402-3889
Nanxiang ZhangDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-7920-588X
Yu ZengDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-2604-9502
Aliza Monroe-WiseDepartment of Global Health, University of Washington, Seattle, WA, United States.ORCID 0000-0002-8843-3462
Linghua LiDepartment of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou, China.ORCID 0000-0001-5711-8681
Cong LiuDepartment of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou, China.ORCID 0000-0001-7147-8923
Weiping CaiDepartment of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou, China.ORCID 0000-0002-5396-1580
Aihua LinDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-1157-7249

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmerging 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.

objectiveThe 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.

methodsA 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.

resultsApproximately 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.

conclusionsThe 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 registrationChinese 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.

Indexed as

HIV InfectionsSocial MediaTelemedicineDepressionFollow-Up StudiesHumansdepressive symptomsHIVlong-term intervention effectmHealthmobile healthsocial media–based

Identifiers

PMID35763324
PMCPMC9277532

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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.