Cited by 10COVID-19 and Mental HealthStudent Stress and CopingAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Pandemic fatigue and depressive symptoms among college students in the COVID-19 context: indirect effects through sense of control and intolerance of uncertainty

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Wu, Qinglu, Zhang, Tian-Ming, Wang, Xue, Zhang, Yan·2024·BMC Psychology

Abstract

Pandemic fatigue, the state of weariness, exhaustion, and demotivation to engage in protective behaviors during the coronavirus disease 2019 (COVID-19) pandemic, have been linked with depressive symptoms. However, the mechanism underlying this association remains unclear. Based on the stress process model, the present study examined the indirect effects of pandemic fatigue on depressive symptoms through the indirect roles of sense of control and intolerance of uncertainty. Data were collected from 1,162 Chinese undergraduate and postgraduate students (Mage = 21.61 years old, SD = 2.81, 64.29% women) through electronic questionnaires. The pandemic fatigue scale, the personal mastery scale, the short version of the Intolerance of Uncertainty Scale, and the Depression subscale of the Depression-Anxiety-Stress Scales were employed. Indirect effects were analyzed using structural equation modeling. The results revealed that pandemic fatigue related to COVID-19 was positively associated with depressive symptoms through (a) sense of control; (b) intolerance of uncertainty; and (c) a sequential pathway from sense of control to intolerance of uncertainty. The findings expand the application of the stress process model to the context of COVID-19 and deepen the understanding of pandemic fatigue—depressive symptoms link with considering the indirect roles of sense of control and intolerance of uncertainty. Psychological distress in the context of COVID-19 could be alleviated by the interventions on strengthening sense of control and tolerance of uncertainty and lessening the adverse effects of pandemic fatigue.

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  1. [11]Lilleholt L, Zettler I, Betsch C, Böhm R. Pandemic fatigue: Measurement, correlates, and consequences. PsyArXiv 2020(In Preprint Server).
  2. [33]Kline RB. Principles and practice of structural equation modeling (2nd edition). New York: Guilford publications; 2015.
  3. [36]Tehseen S Ramayah T Sajilan S Testing and controlling for common method variance: a review of available methods J Manage Sci 2017 4 2 142 68

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Authors
Wu, Q., Zhang, T.-M., Wang, X., & Zhang, Y.
Affiliations
  • Beijing Normal University, Zhuhai (CN)
  • Beijing Normal University (CN)
  • Shenzhen University (CN)
Corresponding author
Zhang, Yan
Venue
BMC Psychology
Published
2024-01-11
Volume
12
Issue
1
Pages
21-21
ISSN
2050-7283 (ISSN-L)
OpenAlex
W4390755224
Cited by
10
References
39
Citations by year
2026: 4 · 2025: 4 · 2024: 2
FWCI
5.00
Type
journal article
Language
en
Open access
Locations
  • BMC Psychology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • the Guangdong Planning Office of Philosophy and Social Science (GD22YXL01)
  • Start-Up Fund of Beijing Normal University at Zhuhai (310432101)
  • the National Social Science Fund of China (20CSH028, 21CSH090)
Topics
  • Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
  • Social Sciences › Psychology › Developmental and Educational Psychology › Student Stress and Coping
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Keywords
pandemic fatigue, depressive symptoms, perceived control, intolerance of uncertainty, stress process model, university students, COVID-19 pandemic, psychological distress, protective behavior, Chinese university students
MeSH terms
COVID-19, Anxiety, Depression, Fatigue, Female, Humans, Internal-External Control, Male, Students, Uncertainty, Young Adult, Pandemics

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