Evidence map›Paper›PMID 40624723›Full record

SynthesisBMC psychology2025

Relationship between online social support and problematic internet use: a three-level meta-analysis.

Miao Chao, Yufeng Wang, Jie Liu, Lijia Gu

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMC psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

4 authors.

Miao ChaoFaculty of Psychology, Tianjin Normal University, Tianjin, China.
Yufeng WangFaculty of Psychology, Tianjin Normal University, Tianjin, China.
Jie LiuFaculty of Psychology, Tianjin Normal University, Tianjin, China.
Lijia GuDepartment of Psychology, Shaoxing University, Shaoxing, 321000, China. gulijia8816@126.com.

Funding

This research was supported by the 2022 Zhejiang Provincial Philosophy and Social Sciences Planning Youth Project [22NDQN274YB], Shaoxing Educational Science Planning Project [SGJ202207] 22NDQN274YB; SGJ202207
6 · The paper itself

Abstract

Despite the common advantages, such as increased life satisfaction and mental health, online social support (OSS), as a product of the digital age, has a potential negative influence on fostering problematic internet usage (PIU). Many studies have suggested that OSS is positively associated with PIU. The present study conducts a three-level meta-analysis to examine the extent to which OSS is correlated with PIU and analyzes various moderators to identify sources of research heterogeneity. After searching and screening the literature, we identified 26 studies, including 23,396 participants and 44 effect sizes, for analysis. Results showed that OSS was significantly and positively related to PIU. Moreover, moderator analyses showed that the association between OSS and PIU was moderated by the measurement of both OSS and PIU. We propose that individuals should be aware of the potential risks associated with OSS and proactively develop their offline social networks to establish a more robust social support system. This approach can potentially mitigate reliance on virtual social interactions while reducing the likelihood of problematic internet usage.

Indexed as

InternetInternet Addiction DisorderInternet UseOnline Social NetworkingSocial SupportHumansSocial NetworkingModerate variablesOnline social supportProblematic internet useThree-level meta-analysis

Identifiers

PMID40624723
PMCPMC12236037

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.