Evidence map›Paper›PMID 42894190›Full record

ArticleBMC psychology2026

Cross-sectional association among passive social media use, peer attachment security, and restrained eating among Chinese college women: incorporating the sociocultural and attachment perspectives.

Yunyan Zhao, Jenny Padilla, Liangshuang Yao, Xiaojun Sun

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Article in BMC psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yunyan ZhaoDepartment of Psychology, University of Notre Dame, 390 Corbett Hall, Notre Dame, IN, 46556, USA. yzhao27@nd.edu.
Jenny PadillaDepartment of Psychology, University of Notre Dame, 390 Corbett Hall, Notre Dame, IN, 46556, USA.
Liangshuang YaoSchool of Psychology, Henan University, Kaifeng, 475000, China.
Xiaojun SunKey Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, 430079, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRestrained eating has often been studied from either sociocultural or attachment perspectives, but relatively few studies have examined how attachment-related factors may operate alongside sociocultural influences. Additionally, most studies have focused on Western populations, despite evidence suggesting that sociocultural influences on eating behaviors vary across cultures. Guided by both sociocultural and attachment theories, the present study examined how passive social media use and peer attachment security were related to restrained eating among Chinese college women, and whether thin-ideal internalization and body satisfaction mediated these associations.

methodsData were collected from 404 Chinese college women aged 18-30 through Wenjuanxing, a widely used online survey platform in China. Participants completed the Chinese version of the Surveillance Use Scale, the Ideal-Body Internalization Scale, the Body Image State Scale, and the Inventory of Parent and Peer Attachment.

resultsA moderated mediation model revealed that passive social media use, peer attachment security, and their interaction were significantly associated with restrained eating, with different mediating mechanisms. First, passive social media use was directly associated with restrained eating. Second, peer attachment security was indirectly associated with restrained eating through body satisfaction. Importantly, the interactive effect of passive social media use and attachment was directly associated with restrained eating. Specifically, this effect was significant only for individuals with low levels of peer attachment security.

conclusionsBy integrating selected sociocultural pathways and attachment perspectives within a non-Western context, this study offers a nuanced understanding of restrained eating among Chinese college women. Findings suggest that passive social media use and peer attachment security function through distinct mechanisms. Moreover, the effect of passive social media use is contingent on peer attachment security, suggesting that interpersonal resources may buffer vulnerability to digital environmental pressures. The findings highlight the importance of considering both digital experiences and interpersonal relationships when examining eating-related behaviors. Practically, interventions may benefit from promoting awareness of passive social media use while also fostering supportive peer relationships and positive body image.

Indexed as

Body ImageFeeding BehaviorObject AttachmentPeer GroupSocial MediaAdolescentAdultBody SatisfactionChinaCross-Sectional StudiesDigital MediaFemaleHumansMedia ExposureStudentsUniversitiesBody satisfactionPassive social media usePeer attachmentRestrained eatingThin-ideal internalization

Identifiers

PMID42894190
PMCPMC13678899

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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.