The chain mediating effects of resilience and perceived social support in the relationship between perceived stress and depression in patients with COVID-19
Year: 2024
Type: article
Study design: Observational Study
Abstract: Introduction Perceived stress and depression were indirect effects of the COVID-19 pandemic, especially in square-cabin hospitals. It was paramount to understand their mediating effects, which might detonate factors that led to mental illness. Materials and methods We conducted a cross-sectional study to investigate perceived stress and depressive symptoms among patients with COVID-19 in Shanghai square-cabin hospitals from April 18 to May 19, 2022. The questionnaire included the Perceived Stress Scale 10, Patient Health Questionnaire 9, Perceived Social Support Scale, and the Connor-Davidson Resilience Scale 10. Results This study investigated the chain-mediating roles of perceived social support and resilience in the relationship between perceived stress and depression. Perceived stress positively predicted depression (r = 0.613, p < 0.01), negatively correlated with perceived social support (r = −0.318, p < 0.01) and resilience (r = −0.398, p < 0.01). In the chain mediating model, perceived stress had significant direct predictive effects on depression, and significant indirect predictive effects on depression through perceived social support and/or resilience. Conclusion It showed that higher perceived social support and resilience were associated with lower perceived stress among COVID-19 patients, which might lead to symptoms of mild depression, and highlights the importance of resilience and perceived social support in reducing depressive symptoms.
Source: Frontiers in Psychology
Authors: Lingling Wang, Jing Yu, Xuqian Diao, Yuanbei Zhang, Ye Miao, Wei He
Institutions: Air Force Medical University, Tang Du Hospital
Language: English
Topic: COVID-19 and Mental Health
Subfield: Clinical Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $3,295
OpenAlex ID: W4402020833