Evidence map›Paper›PMID 37705850›Full record

ArticlePsychology research and behavior management2023

The Psychological Network of Loneliness Symptoms Among Chinese Residents During the COVID-19 Outbreak.

Bao-Liang Zhong, Meng-Di Yuan, Fang Li, Peng Sun

Abstract read
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Article in Psychology research and behavior management, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

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22citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Bao-Liang ZhongDepartment of Psychiatry, Wuhan Mental Health Center, Wuhan, Hubei Province, People's Republic of China.ORCID 0000-0002-8625-492X
Meng-Di YuanResearch Center for Psychological and Health Sciences, China University of Geosciences (Wuhan), Wuhan, Hubei Province, People's Republic of China.
Fang LiDepartment of Psychiatry, Huangpu District Mental Health Center, Shanghai, People's Republic of China.
Peng SunDepartment of Psychiatry, Huangpu District Mental Health Center, Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Social distancing measures implemented during the COVID-19 pandemic have contributed to increased levels of loneliness, but the specific interactions between loneliness symptoms in the context of the pandemic remain unknown. This study characterized the psychological network of loneliness symptoms in residents during the initial wave of COVID-19 outbreak in China. Patients and Methods: The study recruited 8472 Chinese residents (61.5% women, aged 33.0±10.6 years) through online snowball sampling. The Six-item De Jong Gierveld Loneliness Scale (DJGLS) was used to measure loneliness symptoms. Central symptoms of and bridge symptoms between emotional and social loneliness subscales were identified based on centrality and bridge centrality indices, respectively. Network stability was examined using the case-dropping procedures. Results: The nodes in the loneliness network were separated into two groups, corresponding to the social and emotional loneliness domains of the DJGLS. The strongest direction association was between "no reliable people" and "no trustworthy people" (edge weight=0.546). "No trustworthy people" has the highest node strength (1.047) in the loneliness network, followed by "emptiness sense" (0.767) and "no reliable people" (0.749). "Feeling of rejection" (1.672) and "no close people" (0.403) showed the first and second highest bridge strengths, respectively. Both the stability and accuracy tests supported robustness of the whole network. Conclusion: Interventions targeting central symptoms "no trustworthy people" and "emptiness sense" and central bridge symptom "feeling of rejection" may be effective for alleviating the overall level of loneliness in pandemic-affected Chinese residents.

Indexed as

ChinaCOVID-19loneliness symptomspsychological networkresidents

Identifiers

PMID37705850
PMCPMC10497046

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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.