Evidence map›Paper›PMID 38449746›Full record

ArticleFrontiers in psychology2024

Collectivism, face concern and Chinese-style lurking among university students: the moderating role of trait mindfulness.

Bing Hu, Yi Zhu, Chao Liu, Shanshan Zheng, Ziying Zhao, Ruxiang Bao

Abstract read
In one paragraph

Article in Frontiers in psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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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

6 authors.

Bing Hu *School of Journalism and Communication, Huaqiao University, Xiamen, China.
Yi Zhu *School of Economics and Finance, Huaqiao University, Quanzhou, China.
Chao LiuSchool of Journalism and Communication, Huaqiao University, Xiamen, China.
Shanshan ZhengSchool of Journalism and Communication, Huaqiao University, Xiamen, China.
Ziying ZhaoSchool of Journalism and Communication, Huaqiao University, Xiamen, China.
Ruxiang BaoSchool of Journalism and Communication, Huaqiao University, Xiamen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study focuses on understanding the unique causes and mechanisms of "Chinese-style lurking" on WeChat among university students, within a cultural context that emphasizes collectivism and face concern. The research also looks into the moderating role of trait mindfulness. Methods: For the confirmation of these phenomena and to validate the theories, a structural equation model was constructed using the Stress-Strain-Outcome (SSO) theory and mindfulness buffering theory. The model was then tested and validated with data from 1,453 valid online surveys. These data were analyzed using the SmartPLS 4.0 software. Results: The results indicate that collectivism increases face concern, which in turn escalates online social anxiety. Face concern completely mediates between collectivism and online social anxiety, creating a serial mediation effect between face concern, online social anxiety, and lurking behavior. Additionally, trait mindfulness was found to negatively modulate the pathways from collectivism to face concern and from online social anxiety to lurking. Discussion: The findings underscore the influence of traditional Chinese culture on contemporary students' online behavior and provide a new perspective for understanding social media lurking in an Eastern context. The results suggest that a mindfulness-based approach could be used to mitigate the associated silence and anxiety.

Indexed as

Chinese-style lurkingcollectivismface concernonline social anxietytrait mindfulness

Identifiers

PMID38449746
PMCPMC10915208

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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.