A study on differences about the influencing factors of depressive symptoms between medical staff and residents during 2022 city-wide temporary static management period to fighting against COVID-19 pandemic in Shanghai

Front Public Health. 2023 Jan 9;10:1083144. doi: 10.3389/fpubh.2022.1083144. eCollection 2022.


Objectives: Our study aimed to identify the latent class of depressive symptoms in the Shanghai population during the city-wide temporary static management period and compare differences in the factors influencing depressive symptoms between medical staff and residents.

Methods: An online cross-sectional survey was conducted with 840 participants using questionnaires, including Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), Pittsburgh Sleep Quality Index (PSQI), and self-compiled questionnaire (demographic characteristics and internet usage time). Latent class analysis (LCA) was performed based on participants' depressive symptoms. The latent class subgroups were compared using the chi-square test and t-test. Logistic regression was used in our study to analyze the factors influencing depressive symptoms within the medical staff group and residents group and then compare their differences.

Results: Two distinct subgroups were identified based on the LCA: the group with low-depressive symptoms and the group with high-depressive symptoms. There were significant differences between the two groups (P < 0.05) on age, education level, marital status, internet usage time, identity characteristics (medical staff or residents), family income level, living style, overall quality of sleep, and anxiety levels. Furthermore, logistic regression analysis results showed that compared with the residents group, the participants in the group of medical staff with "increasing internet usage time" and the "daytime dysfunction" would have nearly two times the possibility of getting serious depressive symptoms.

Conclusions: There are differences in the factors influencing depression symptoms between medical staff and residents during the 2022 city-wide temporary static management period to fighting against the COVID-19 pandemic in Shanghai. We should pay special attention to those with increasing internet usage time and daytime dysfunction in medical staff working in a special environment such as the COVID-19 pandemic.

Keywords: COVID-19; depressive symptoms; latent class analysis; medical staff; residents.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Anxiety / epidemiology
  • COVID-19* / epidemiology
  • China / epidemiology
  • Cross-Sectional Studies
  • Depression / diagnosis
  • Depression / epidemiology
  • Humans
  • Medical Staff
  • Pandemics
  • SARS-CoV-2

Grant support

This work was supported by grants from the Foundation of the Shanghai Municipal Commission of Health and Family Planning (Funding No: 201940161), the Outstanding Clinical Discipline Project of Shanghai Pudong (Funding No: PWYgy2021-02), Three Year Action Plan from 2020 to 2022 for the Construction of Shanghai Public Health System (GWV-10.2-XD31), the Important and Weak Key Discipline Construction Projects of Health System in Shanghai in 2019: Psychosomatic Medicine (2019ZB0203), and Clinical Science and Technology Innovation Projects of Shanghai Shenkang Hospital Development Center (SHDC12020126).