Evidence map›Paper›PMID 41867446›Full record

ArticlePsychology research and behavior management2026

Associations Between COVID-19 Anxiety Syndrome and Pandemic Fatigue in a Post-Lockdown Context: The Roles of Community and Personal Resilience.

Kexin Wang, Yanping Wang, Nan Meng, Yanhua Hao, Ning Ning, Linghan Shan, Yuexia Gao, Miaomiao Zhao, Wuxiang Shi, Yinghua Qin and 4 more

Abstract read
In one paragraph

Article in Psychology research and behavior management, 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. Review
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

14 authors.

Kexin Wang *Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.ORCID 0000-0002-2186-5826
Yanping Wang *Department of Social Medicine, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.
Nan Meng *Department of Social Medicine, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.
Yanhua HaoDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.
Ning NingDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.
Linghan ShanDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.
Yuexia GaoDepartment of Health Management, School of Public Health, Nantong University, Nantong, Jiangsu, People's Republic of China.
Miaomiao ZhaoDepartment of Health Management, School of Public Health, Nantong University, Nantong, Jiangsu, People's Republic of China.
Wuxiang ShiDepartment of Health Economy and Social Security, College of Humanities and Management, Guilin Medical University, Guilin, Guangxi, People's Republic of China.
Yinghua QinDepartment of Health Economy and Social Security, College of Humanities and Management, Guilin Medical University, Guilin, Guangxi, People's Republic of China.
Peng WangDepartment of Epidemiology, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.
Yuxuan WangDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.
Huan LiuDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.ORCID 0000-0002-1882-1160
Qunhong WuDepartment of Social Medicine, School of Health Management, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.ORCID 0000-0002-2873-5266

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Pandemic fatigue has become a significant public health challenge during the COVID-19 pandemic, but the mechanism of COVID-19 anxiety syndrome on it and its components remains unclear. It has not yet fully clarified whether and how community resilience and personal resilience can play a key role in the post-lockdown context. This study aims to evaluate the association between COVID-19 anxiety syndrome and pandemic fatigue, and to investigate the underlying effects of community resilience and personal resilience. Methods: A cross-sectional online survey was conducted with 1209 participants recruited via stratified sampling in Xi'an. They completed demographic characteristics, Pandemic Fatigue Scale, COVID-19 Anxiety Syndrome Scale, Conjoint Community Resiliency Assessment Measurement, and Connor-Davidson Resilience Scale. Descriptive statistics, t-tests, and ANOVA were used to examine demographic differences in pandemic fatigue. Pearson's correlation and stepwise multiple liner regression were employed to analyze the associations among COVID-19 anxiety syndrome, community resilience, personal resilience, and pandemic fatigue. Results: The mean score of pandemic fatigue was 17.87 (SD = 7.88), with information fatigue (9.51 ± 4.30) higher than behavior fatigue (8.36 ± 4.16). COVID-19 anxiety syndrome was positively associated with pandemic fatigue (β = 0.286, Conclusion: Strategy for enhancing resilience capacity both at the community and individual level should be highlighted to mitigate pandemic fatigue in the context of post-lockdown. Targeted resilience-building interventions should be prioritized for women and middle-aged adults.

Indexed as

community resilienceCOVID-19 anxiety syndromepandemic fatiguepersonal resilience

Identifiers

PMID41867446
PMCPMC13005250

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.