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Mental health symptoms and sleep quality of asymptomatic/mild SARS-CoV-2 infected individuals during the Omicron wave of the COVID-19 pandemic in Shanghai China.
Hou, Zhenghua; Huang, Yingzi; Ma, Shaolei; Feng, Hui; Fu, Cuiping; Li, Han; Yuan, Yuexing; Yuan, Yonggui.
  • Hou Z; Department of Psychosomatics & Psychiatry, Affiliated Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
  • Huang Y; Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
  • Ma S; Department of Emergency and Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
  • Feng H; Department of Traditional Chinese Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
  • Fu C; Department of Respiratory and Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
  • Li H; Department of Pediatrics, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
  • Yuan Y; Department of Endocrinology, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, Nanjing, China.
  • Yuan Y; Department of Psychosomatics & Psychiatry, Affiliated Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Brain Behav ; : e2803, 2022 Nov 03.
Article in English | MEDLINE | ID: covidwho-2094156
ABSTRACT

OBJECTIVE:

To investigate mental health symptoms (anxiety, depression, and sleep status) and their associated factors among people infected with the SARS-CoV-2 omicron variant during the quarantine period in Shanghai.

METHODS:

To investigate the mental health symptoms among participants with SARS-CoV-2 omicron infection, an anonymous online survey questionnaire was used. The survey panel included the 9-item Patient Health Questionnaire-9 (PHQ-9), 7-item Generalized Anxiety Disorder Scale (GAD-7), Pittsburgh Sleep Quality Index (PSQI), and 22-item Ruminative Responses Scale (RRS). Group comparisons and correlation analyses were employed to explore the epidemiological characteristics of patients and factors related to depression and anxiety symptoms.

RESULTS:

A total of 960 participants completed the survey. Of the total respondents, 583 participants (60.7%) were male, and the mean (SD) age was 34.33 (9.21) years (95% CI 33.74-34.91). The prevalence of depressive and anxiety symptoms among the participants was 13.7% (n = 151, 95% CI 11.6%-15.7%) and 8.6% (n = 90, 95% CI 6.9%-10.3%), respectively. Age-stratified analysis showed that the prevalence of anxiety among the 36- to 45-year-old group (12.9%; n = 35, 8.9%-16.9%) was significantly higher than that of the 18- to 15-year-old group (7.4%; n = 42, 5.3%-9.6%, p = .011). Spearman's correlation analyses showed that rumination (assessed by the RRS) was significantly and positively correlated with depression (rho = .706, p < .001) and anxiety symptoms (rho = .758, p < .001).

CONCLUSION:

The results suggest that female and middle-aged populations manifest higher susceptibility to mental health distress during the current Omicron wave of the COVID-19 pandemic. Population-specific psychological crisis intervention is warranted to improve the quality of epidemic prevention methods and to promote the mental well-being of the public.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study Topics: Variants Language: English Journal: Brain Behav Year: 2022 Document Type: Article Affiliation country: Brb3.2803

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study Topics: Variants Language: English Journal: Brain Behav Year: 2022 Document Type: Article Affiliation country: Brb3.2803