Evidence map›Paper›PMID 41810303›Full record

ArticleFrontiers in public health2026

Exploring the mediating role of psychological resilience between social support and anxiety in nurses: a cross-sectional study in Chengdu, Sichuan, China.

Junyi Hou, Mingzhu Song, Hui Li, Xinlin Miao, Xia Wang, Yesha Liu, Jianfeng Sun, Chan Huang

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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. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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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

8 authors.

Junyi Hou *School of Preclinical Medicine & School of Nursing, Chengdu University, Chengdu, China.
Mingzhu Song *School of Preclinical Medicine & School of Nursing, Chengdu University, Chengdu, China.
Hui LiSchool of Acupuncture and Moxibustion, Affiliated Hospital of Chengdu University of TCM, Chengdu, China.
Xinlin MiaoSchool of Preclinical Medicine & School of Nursing, Chengdu University, Chengdu, China.
Xia WangSchool of Preclinical Medicine & School of Nursing, Chengdu University, Chengdu, China.
Yesha LiuHospital of Chengdu University of Traditional Chinese Medicine (TCM Hospital of Sichuan Province), Chengdu, China.
Jianfeng SunSchool of Acupuncture and Moxibustion, Affiliated Hospital of Chengdu University of TCM, Chengdu, China.
Chan HuangSchool of Preclinical Medicine & School of Nursing, Chengdu University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Nurse anxiety is a significant public health issue that impacts individual well-being, healthcare system stability, service quality, and patient safety. This study aimed to assess anxiety levels among Chinese nurses and to investigate the association between social support and anxiety, specifically examining the potential mediating role of psychological resilience. The findings are intended to enhance the understanding of mental health mechanisms and inform targeted interventions for nurses. Methods: A cross-sectional online survey was conducted from February to April 2025 with 1,133 nursing staff in Sichuan Province, China, using stratified and snowball sampling. Participants completed the Self-Rating Anxiety Scale (SAS), Social Support Rating Scale (SSRS), and Connor-Davidson Resilience Scale (CD-RISC). Data were analyzed using Results: A total of 35.7% of nurses reported experiencing anxiety. Both social support (including its sub-dimensions) and psychological resilience (including its sub-dimensions of self-efficacy, hope, and optimism) showed significant negative correlations with anxiety. Mediation analysis confirmed that psychological resilience partially mediated the relationship between social support and anxiety, accounting for 21% of the total effect. The pathway mediated by psychological resilience was strongest for subjective support, with an indirect effect constituting 41% of its total impact. In SEM with latent variables, the mediating effect of psychological resilience on the relationship between social support and anxiety remains statistically significant after separating and controlling for measurement errors. Conclusion: The research points to the interaction between social environment (support) and individual characteristics (resilience) as a key determinant of nurses' emotional regulation. This implies that strategies to mitigate anxiety should prioritize cultivating a supportive climate and promoting the functional use of social resources, which in turn bolsters psychological resilience and overall mental health.

Indexed as

AnxietyNursesNursing Staff, HospitalResilience, PsychologicalSocial SupportAdultChinaCross-Sectional StudiesFemaleHumansMaleSurveys and Questionnairesanxietymental healthnursespsychological resiliencesocial support

Identifiers

PMID41810303
PMCPMC12968000

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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.