Syeda Beenish Bareeqa1, Syed Ijlal Ahmed2, Syeda Sana Samar3, Waqas Yasin4, Sani Zehra1, George M Monese5, Robert V Gouthro6. 1. 66812Jinnah Medical and Dental College, Karachi, Pakistan. 2. 72597Liaquat National Hospital and Medical College, Karachi, Pakistan. 3. 66697Jinnah Sindh Medical University, Karachi, Pakistan. 4. Department of Psychiatry, Medical College of Wisconsin, Milwaukee, WI, USA. 5. Medical College of Wisconsin, Green Bay, WI, USA. 6. Department of Psychiatry, Medical College of Wisconsin, Green Bay, WI, USA.
Abstract
BACKGROUND: The novel coronavirus disease which is believed to have initially originated in Wuhan city of China at the end of 2019 was declared as pandemic by March 2020 by WHO. This pandemic significantly impacted the mental health of communities around the globe. This project draws data from available research to quantify COVID-19 mental health issues and its prevalence in China during the early period of the COVID-19 crisis. It is believed that this pooling of data will give fair estimate of the effects of the COVID-19 pandemic on mental health. METHODS: We conducted this study in accordance with PRISMA guidelines 2009. The protocol for this review is registered and published in PROSPERO (CRD42020182893). The databases used were Pubmed, Medline, Google scholar and Scopus. The studies were extracted according to pre-defined eligibility criteria and risk of bias assessment was conducted. The Meta-analysis was done using OpenMeta [analyst]. RESULTS: Total of 62382 participants in nineteen studies fulfilled the eligibility criteria. Stress was the most prevalent (48.1%) mental health consequence of Covid-19 pandemic, followed by depression (26.9%) and anxiety (21.8%). After performing subgroup analysis, prevalence of depression and anxiety in both females and frontline health care workers were high as compared to the prevalence in general Chinese population. CONCLUSION: The prevalence of depression and anxiety is moderately high whereas pooled prevalence of stress was found to be very high in Chinese people during this Covid-19 crisis.
BACKGROUND: The novel coronavirus disease which is believed to have initially originated in Wuhan city of China at the end of 2019 was declared as pandemic by March 2020 by WHO. This pandemic significantly impacted the mental health of communities around the globe. This project draws data from available research to quantify COVID-19 mental health issues and its prevalence in China during the early period of the COVID-19 crisis. It is believed that this pooling of data will give fair estimate of the effects of the COVID-19 pandemic on mental health. METHODS: We conducted this study in accordance with PRISMA guidelines 2009. The protocol for this review is registered and published in PROSPERO (CRD42020182893). The databases used were Pubmed, Medline, Google scholar and Scopus. The studies were extracted according to pre-defined eligibility criteria and risk of bias assessment was conducted. The Meta-analysis was done using OpenMeta [analyst]. RESULTS: Total of 62382 participants in nineteen studies fulfilled the eligibility criteria. Stress was the most prevalent (48.1%) mental health consequence of Covid-19 pandemic, followed by depression (26.9%) and anxiety (21.8%). After performing subgroup analysis, prevalence of depression and anxiety in both females and frontline health care workers were high as compared to the prevalence in general Chinese population. CONCLUSION: The prevalence of depression and anxiety is moderately high whereas pooled prevalence of stress was found to be very high in Chinese people during this Covid-19 crisis.
Entities:
Keywords:
China; Covid-19; anxiety; depression; health care worker; mental health; pandemic; psychological impact; stress
Authors: Miranda Olff; Indira Primasari; Yulan Qing; Bruno M Coimbra; Ani Hovnanyan; Emma Grace; Rachel E Williamson; Chris M Hoeboer Journal: Eur J Psychotraumatol Date: 2021-06-30
Authors: Stephen X Zhang; Richard Z Chen; Wen Xu; Allen Yin; Rebecca Kechen Dong; Bryan Z Chen; Andrew Yilong Delios; Saylor Miller; Roger S McIntyre; Wenping Ye; Xue Wan Journal: Int J Environ Res Public Health Date: 2022-01-17 Impact factor: 3.390