Evidence map›Paper›PMID 41283047›Full record

ArticleFrontiers in public health2025

Anxiety and determinants among patients with chronic diseases during pandemic of emerging infectious diseases: a moderated mediation analysis.

Yuxiao Wang, Sitian Li, Haiting Zheng, Yaodan Zhang, Jingru Zhang, Yuanyuan La, Jun Xie, Jiantao Li, Lu He

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Article in Frontiers in public health, 2025. 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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5 · Who and what money

Authors and funding

9 authors.

Yuxiao WangDepartment of Health Economics, School of Management, Shanxi Medical University, Taiyuan, Shanxi, China.
Sitian LiDepartment of Social Medicine, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
Haiting ZhengDepartment of Social Medicine, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
Yaodan ZhangDepartment of Social Medicine, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
Jingru ZhangSchool of International and Public Affairs, Shanghai Jiao Tong University, Shanghai, China.
Yuanyuan LaDepartment of Social Medicine, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
Jun XieCenter of Reverse Microbial Etiology, Shanxi Medical University, Taiyuan, Shanxi, China.
Jiantao LiDepartment of Health Economics, School of Management, Shanxi Medical University, Taiyuan, Shanxi, China.
Lu HeDepartment of Social Medicine, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aims to investigate the anxiety levels and associated influencing factors among patients with chronic diseases during the pandemic of emerging and sudden infectious diseases. The findings are intended to provide a theoretical foundation for developing targeted psychological intervention strategies, thereby enhancing the mental health support for chronic disease patients in times of public health crises. Methods: This study was conducted in Shanxi Province between December 2022 and January 2023, utilizing a cross-sectional research design with a total sample size of 40,302 participants. Chi-square tests were employed to assess differences across groups in sociodemographic characteristics, prevalence of chronic diseases, vaccination status, self-perceived symptoms, availability of essential supplies, and anxiety levels. Additionally, a moderated mediation model was applied to examine the potential pathways through which these variables influence anxiety. All statistical analyses were carried out using R software. Results: Increasing the number of emerging and sudden infectious diseases vaccination doses negatively predicted anxiety (β = -0.0249, 95%CI = [-0.0393, -0.0106]), a relationship partially mediated by self-perceived symptoms (effect = 0.0102, SE = 0.002, 95%CI = [0.0062, 0.0142]). Personal material reserves and residential GDP significantly moderated anxiety (β = -0.035, 95%CI = [0.0426, -0.0273]; β = 0.033, 95%CI = [0.0127, 0.0533]). The effect of self-perceived symptoms on anxiety was greater in areas with lower GDP and among patients with chronic diseases with poorer material reserves. Conclusion: This study highlights the critical role of vaccination in reducing anxiety during public health emergencies, particularly among chronic disease patients, and identifies key factors such as self-perceived symptoms, material reserves, and local GDP. Strengthening vaccination coverage and securing essential supplies for high-risk groups are vital to safeguarding their mental health in such crises. These findings offer both theoretical and practical insights for addressing post-outbreak anxiety.

Indexed as

AnxietyCommunicable Diseases, EmergingPandemicsAdultAgedChinaChronic DiseaseCross-Sectional StudiesFemaleHumansMaleMiddle AgedVaccinationanxietychronic diseasesmental health outcomesmoderated mediation modelpublic health crises

Identifiers

PMID41283047
PMCPMC12633642

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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.