Evidence map›Paper›PMID 40264036›Full record

ArticleBMC public health2025

The impact of online social interaction on urban community cohesion and group differences: evidence from China.

Haibo Li, Haitao Li, Xing Zhou, Yin Kuang, Feiyue Liu

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Haibo LiSchool of Economics and Management, Changsha University, Changsha, China. 041519@163.com.
Haitao LiSchool of Public Administration and Law, Hunan Agricultural University, Changsha, China.
Xing ZhouSchool of Economics and Management, Changsha University, Changsha, China.
Yin KuangSchool of Economics and Management, Changsha University, Changsha, China.
Feiyue LiuSchool of Economics and Management, Changsha University, Changsha, China.

Funding

Humanities and Social Science Fund of Ministry of Education of China 22YJCZH077
6 · The paper itself

Abstract

backgroundWith the advent of the digital age, online social interaction has become an important form of interpersonal communication. This increasing popularity of online interaction has led to a growing debate about its impact on community cohesion. However, the effects and mechanisms by which online social interaction affects community cohesion are not well understood. This study aims to investigate the correlations between online social interaction and community cohesion in the Chinese context.

methodsThis cross-sectional study examines urban community residents (n = 1037) across China's eastern, central, and western regions, with proportional sampling to ensure geographic representation. Data were collected via random questionnaires. Using structural equation modeling (SEM), we empirically assess (1) the impact of online social interaction on community cohesion, (2) the underlying mechanisms, and (3) heterogeneity effects across demographic and regional subgroups.

resultsThe direct influence of online social interaction on community cohesion was significantly positive (β = 0.694, P = 0.000), and the indirect effect of social interaction on community cohesion through offline social interaction was also significantly positive(β = 0.243, P = 0.000). The effects of online social interaction on community cohesion show significant heterogeneity across demographic groups and geographic regions, being more pronounced among middle-aged residents (β = 0.901, P = 0.000), male residents (β = 0.727, P = 0.000), and married residents (β = 0.779, P = 0.000) relative to their respective counterparts. The effect magnitude in the eastern region (β = 0.784, P = 0.000) substantially exceeds that in both central and western regions.

conclusionThe findings indicate that online social interaction is an important factor affecting the formation of urban residents' community cohesion, and offline social interaction plays a mediating role. In addition, The association between online social interaction and community cohesion demonstrates significant heterogeneity across demographic and regional subgroups.

Indexed as

Residence CharacteristicsSocial InteractionUrban PopulationAdolescentAdultAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesYoung AdultChinaDigital ageGroup differenceOffline social interactionOnline social interactionUrban community cohesion

Identifiers

PMID40264036
PMCPMC12012984

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.