Evidence map›Paper›PMID 36326125›Full record

ArticleBrain and behavior2022

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.

Zhenghua Hou, Yingzi Huang, Shaolei Ma, Hui Feng, Cuiping Fu, Han Li, Yuexing Yuan, Yonggui Yuan

Abstract read
In one paragraph

Article in Brain and behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. The Heartbeat of Global Health.European journal of cardiovascular nursing · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Zhenghua HouDepartment of Psychosomatics & Psychiatry, Affiliated Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.ORCID 0000-0002-7421-7304
Yingzi HuangDepartment of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Shaolei MaDepartment of Emergency and Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Hui FengDepartment of Traditional Chinese Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Cuiping FuDepartment of Respiratory and Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Han LiDepartment of Pediatrics, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Yuexing YuanDepartment of Endocrinology, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, Nanjing, China.
Yonggui YuanDepartment of Psychosomatics & Psychiatry, Affiliated Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.ORCID 0000-0001-6496-3998

Funding

National Natural Science Foundation of China 81971277Natural Science Foundation of Jiangsu Province BK20201270
6 · The paper itself

Abstract

objectiveTo 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.

methodsTo 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.

resultsA 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).

conclusionThe 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.

Indexed as

COVID-19AdultAnxietyChinaDepressionFemaleHumansMaleMental HealthMiddle AgedPandemicsSARS-CoV-2Sleep QualityanxietyasymptomaticCOVID-19depressionmild infectionOmicron

Identifiers

PMID36326125
PMCPMC9759130

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.