Evidence map›Paper›PMID 42221628›Full record

ArticleFrontiers in public health2026

Network analysis of social support, resilience, quality of life, and insomnia under pandemic control measures.

Min Dai, Shuyu Xu, Jiaqi Ling, Lei Xiao, Jingzhou Xu, Ruike Zhang, Hao Wang, Tong Su

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in public health, 2026. 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

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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Min Dai *School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Shuyu Xu *Department of Medical Psychology, College of Psychology, Naval Medical University, Shanghai, China.
Jiaqi LingSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Lei XiaoDepartment of Medical Psychology, College of Psychology, Naval Medical University, Shanghai, China.
Jingzhou XuDepartment of Medical Psychology, College of Psychology, Naval Medical University, Shanghai, China.
Ruike ZhangDepartment of Medical Psychology, College of Psychology, Naval Medical University, Shanghai, China.
Hao WangDepartment of Medical Psychology, College of Psychology, Naval Medical University, Shanghai, China.
Tong SuDepartment of Medical Psychology, College of Psychology, Naval Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: During the COVID-19 pandemic, population mental health and sleep problems have become increasingly prominent. Social support, resilience, and quality of life are key determinants of sleep quality; however, their complex interrelationships remain insufficiently understood. This study used network analysis to examine the connections among social support, resilience, quality of life, and insomnia symptoms. Methods: We recruited 662 participants between April and May 2022. Participants completed the Social Support Rating Scale (SSRS), the Connor-Davidson Resilience Scale (CD-RISC), the World Health Organization Quality of Life-Brief (WHOQOL-BREF), and the Athens Insomnia Scale (AIS). We constructed network models with the dimensions of each scale and individual insomnia symptoms as nodes and computed centrality metrics (strength, expected influence) and bridge expected influence (BEI). Results: The network showed negative associations between insomnia symptoms and social support, resilience, and quality of life. Q2 (psychological) and R2 (strength) had the highest strength and high expected influence. R1 (tenacity), Q2 (psychological), and S1 (objective support) demonstrated the greatest positive bridge expected influence in the network, whereas I6 (sense of well-being during the day) had the greatest negative bridge expected influence within the insomnia symptom community. Conclusion: This study illuminates the complex interconnections among social support, resilience, quality of life, and insomnia symptoms in the context of prolonged pandemic control measures and identifies core and bridge nodes through network analysis. These findings provide a theoretical foundation for improving population mental health and sleep quality. Clinicians should prioritize interventions that target core nodes and bridge symptoms to enhance effectiveness.

Indexed as

COVID-19Quality of LifeResilience, PsychologicalSleep Initiation and Maintenance DisordersSocial SupportAdultAgedChinaFemaleHumansMaleMental HealthMiddle AgedPandemicsSocial Network AnalysisSurveys and Questionnairesinsomniamental healthnetwork analysisresiliencesocial support

Identifiers

PMID42221628
PMCPMC13215862

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.