Evidence map›Paper›PMID 39548427›Full record

ArticleBMC psychiatry2024

Identification of central symptoms in problematic WeChat use and depression among Chinese college students: a network analysis.

YanJie Shan, Yadong Sun, Jiaqiong Xie, Ting Li, Ke Chen

Abstract read
In one paragraph

Article in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

YanJie ShanFaculty of Social Sciences, Chongqing University, Shapingba, Chongqing, 400044, China.
Yadong SunFaculty of Social Sciences, Chongqing University, Shapingba, Chongqing, 400044, China.
Jiaqiong XieFaculty of Social Sciences, Chongqing University, Shapingba, Chongqing, 400044, China.
Ting LiFaculty of Social Sciences, Chongqing University, Shapingba, Chongqing, 400044, China.
Ke ChenFaculty of Social Sciences, Chongqing University, Shapingba, Chongqing, 400044, China. chenke197729@163.com.

Funding

College Ideological and Political Work Cultivation Project of the Ministry of Education ISZS2021-2Fundamental Research Funds for the Central Universities 2022CDJSKZX07Project of Chongqing Municipal Programs for Social Science 2021ZTZD10Project of the China Association of Higher Education 2020FDD07Project of the Chongqing Municipal Committee of Science and Technology cstc202ljsyj-zzysbAX0076Projects of the Chongqing Municipal Education Commission of China 19SKZDZX13 and 19SKSZ001
6 · The paper itself

Abstract

backgroundPrevious research has identified a positive relationship between problematic social media use and depression. However, with the increasing diversification and personalization of social media platforms, the impact of different platforms on college students varies significantly. It is necessary to examine the specific symptom network of problematic use in certain platforms and its relationship with depression. Therefore, this study aims to address these gaps by investigating the symptom network of problematic WeChat use among college students and identifying bridge symptoms linking problematic WeChat use to depression.

methodA total of 6,060 Chinese college students (Mean age = 18.32; range 16-21; 60.66% male, 39.34% female) were recruited and provided self-reports on their problematic WeChat use and depression levels. Latent profile analysis was employed to identify the profiles of problematic WeChat users. Subsequently, four network structures relating to problematic WeChat use and its association with depression were constructed among problematic users.

resultsThe analysis revealed three heterogeneous groups of college students regarding their WeChat use, with 11.4% classified as problematic users. Network analysis indicated that the central symptoms of problematic WeChat use were "I feel the need to use WeChat with increasing amounts of time to achieve satisfaction" and "I have used WeChat to relieve of loneliness and stress". No significant gender differences were found in the network structure of problematic WeChat use; the network strength was significantly higher among male students compared to female students. Within the combined network, the central symptoms included "self-dislike," "pessimism," "I feel happy and satisfied when I am on WeChat," and "guilt." A strong association was observed between problematic WeChat use and depressive symptoms.

conclusionThe findings of this study further elucidate the impact of problematic WeChat use on depression among college students, providing both theoretical and practical insights for developing interventions targeting WeChat use and depression within this demographic.

Indexed as

DepressionInternet Addiction DisorderSocial MediaStudentsAdolescentAdultChinaFemaleHumansMaleUniversitiesYoung AdultCollege studentsDepressionLatent profile analysisNetwork analysisProblematic WeChat use

Identifiers

PMID39548427
PMCPMC11566438

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LicenceCC BY-NC-ND
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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.