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Depression problems within the first month of the Shanghai COVID-19 lockdowns in 2022: a retrospective cross-sectional survey
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  • Xianda Ma,
  • Xinyi He,
  • Mengyue Wu,
  • Yifang Kuang,
  • Suhua Zeng,
  • Binglei Zhao,
  • Lihui Wang,
  • Yi Li,
  • Meihua Xue,
  • Hong Sang,
  • Mengnan Shang,
  • Xu Zhang,
  • Shuting Wang,
  • Ru-Yuan Zhang,
  • Weidong Li
Xianda Ma
Shanghai Jiao Tong University
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Xinyi He
Shanghai Jiao Tong University
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Mengyue Wu
Shanghai Jiao Tong University Department of Computer Science and Engineering
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Yifang Kuang
Shanghai Jiao Tong University
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Suhua Zeng
Shanghai Jiao Tong University
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Binglei Zhao
Shanghai Jiao Tong University Antai College of Economics and Management
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Lihui Wang
Shanghai Jiao Tong University Antai College of Economics and Management
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Yi Li
SJTU Paris Elite Institute of Technology Shanghai Jiao Tong University
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Meihua Xue
Wuxi Mental Health Centre
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Hong Sang
Changchun Central Hospital
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Mengnan Shang
Shanghai Jiao Tong University
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Xu Zhang
Shanghai Jiao Tong University
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Shuting Wang
Shanghai Jiao Tong University Antai College of Economics and Management
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Ru-Yuan Zhang
Shanghai Jiao Tong University Antai College of Economics and Management

Corresponding Author:ruyuanzhang@sjtu.edu.cn

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Weidong Li
Shanghai Jiao Tong University
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Abstract

Background. Understanding the rising speed and magnitude of mental health problems during COVID-19 lockdowns is of particular value to epidemiologists, clinical practitioners, and policy makers. We examine the dynamic changes in depressive symptom severity and associated risk factors during the Shanghai COVID-19 lockdowns in spring 2022. Methods. A cross-sectional data was collected from an online survey conducted between April 15-17, 2022, after nearly one month of the Shanghai COVID-19 lockdowns. The survey included the full set of the Beck Depression Inventory-2, and asked the participants to retrospectively recall the severity of their depressive symptoms in three different time periods: early March (March 1-15), late March (March 16-31), and early April (April 1-15). The survey also included several sociodemographic and health-related questions in these time periods, including the duration of online shopping, work, physical exercise, sleep, and social communication during the lockdown. 652 citizens (212 males) in Shanghai participated in this study. Results. We found that the recalled mild depression (BDI-2 score > 13) increased from 10.1% in early March to 21% in late March, and further to 35.9% in early April. Regression analyses show that lockdown duration and physical restriction jointly contribute to worsening depression. In addition, sleep duration and social communication during lockdown were associated with the severity of depression symptoms. Conclusions. These results highlight the significant depression problems lockdown and call for special attention to early psychological intervention once lockdown is initiated. The limitations of retrospective and cross-sectional evaluations are also discussed.
02 Feb 2025Submitted to Public Health Challenges
10 Feb 2025Submission Checks Completed
10 Feb 2025Assigned to Editor
20 Feb 2025Reviewer(s) Assigned