. 2024 Oct 3:15:1420834.

doi: 10.3389/fpsyg.2024.1420834. eCollection 2024.

Psychological status of general population 1 year after the outbreak of COVID-19: a cross-sectional study based on SCL-90

Xia Chen¹, Yue Hu², Yuan Deng³, Xin Wang⁴, Xiao Yang⁵, Ying Wang⁶, Yanli Lian⁵, Shiping Wang², Xinju Xiang⁷, Chan Liu⁴, Fang Wu⁴, Shaochuan Chen⁴, Huimin Li⁴

Affiliations

¹ Neonatology Department, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
² Pediatrics Department, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
³ Mammary Department, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
⁴ Department of Nursing, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
⁵ Obstetric Department, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
⁶ Child Health Department, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
⁷ Outpatient Department, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.

PMID: 39421837
PMCID: PMC11484628
DOI: 10.3389/fpsyg.2024.1420834

Psychological status of general population 1 year after the outbreak of COVID-19: a cross-sectional study based on SCL-90

Xia Chen et al. Front Psychol. 2024.

. 2024 Oct 3:15:1420834.

doi: 10.3389/fpsyg.2024.1420834. eCollection 2024.

Authors

Xia Chen¹, Yue Hu², Yuan Deng³, Xin Wang⁴, Xiao Yang⁵, Ying Wang⁶, Yanli Lian⁵, Shiping Wang², Xinju Xiang⁷, Chan Liu⁴, Fang Wu⁴, Shaochuan Chen⁴, Huimin Li⁴

Affiliations

¹ Neonatology Department, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
² Pediatrics Department, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
³ Mammary Department, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
⁴ Department of Nursing, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
⁵ Obstetric Department, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
⁶ Child Health Department, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
⁷ Outpatient Department, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.

PMID: 39421837
PMCID: PMC11484628
DOI: 10.3389/fpsyg.2024.1420834

Abstract

Introduction: The mental health of populations is usually affected after a disaster event. However, it is not known what the level of mental health of Chinese population 1 year after COVID-19, nor what factors influence it.

Aim: This study aimed to examine the mental health status of general population in Chengdu 1 year after COVID-19, and then analyse influencing factors.

Method: This study is a cross-sectional survey based on the SCL-90 questionnaire. Continuous data were described as M and SD, and counting data were described as frequencies(n) and percentages (%). Chi-square test or Fisher's exact test were used for statistical inference, and significance variables were included in the binary logistic regression equation for multivariate analysis.

Results: There were 172 participants with positive screening results. Age, marital status, number of kids, self-perceived health and the presence of chronic disease had an effect on screening results. Logistic regression analysis showed that age and self-perceived health were the main influencing factors.

Discussion: Young people aged 18-19 and those who consider themselves not very healthy were at higher risk of poor mental health 1 year after the COVID-19 outbreak.

Impact statement: Community institutions and community workers should focus on the mental health status of people 1 year after COVID-19, with a focus on people with poor self-perceived health and younger age groups, and take early preventive measures.

Keywords: COVID-19; SCL-90; epidemic; general population; mental health.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

**Figure 1**
The proportion of symptomatic populations with SCL-90 factor scores in the sample population of this study. SOM, somatization; OC, obsessive-compulsive disorder; IS, interpersonal sensitivity; DEP, depression; ANX, anxiety disorder; HOS, hostility; PHOB, phobic anxiety disorder; PAR, paranoid perception; PDY, psychosis.

**Figure 2**
The severity distribution of SCL-90 factor scores in the sample population of this study. SOM, somatization; OC, obsessive-compulsive disorder; IS, interpersonal sensitivity; DEP, depression; ANX, anxiety disorder; HOS, hostility; PHOB, phobic anxiety disorder; PAR, paranoid perception; PDY, psychosis.

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Psychological status of general population 1 year after the outbreak of COVID-19: a cross-sectional study based on SCL-90

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Psychological status of general population 1 year after the outbreak of COVID-19: a cross-sectional study based on SCL-90

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