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影响新冠状病毒肺炎爆发期间集中隔离人员失眠的心理因素:基于优势分析的实证研究
Psychological Factors Affecting Insomnia among Individuals under Centralized Quarantine during the Outbreak of COVID-19: An Empirical Study Based on Dominance Analysis

DOI: 10.12677/AP.2023.1312762, PP. 6001-6011

Keywords: 新冠疫情,集中隔离人员,失眠,抑郁,焦虑,优势分析
COVID-19
, Centralized Quarantine Individuals, Insomnia, Depression, Anxiety, Dominance Analysis

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Abstract:

目的:探讨影响新冠状病毒肺炎爆发期间集中隔离人员失眠的心理因素,确定其相对重要性排序。方法:本研究采用失眠严重指数量表、抑郁症筛查量表和广泛性焦虑量表,对广东省湛江地区2022年新冠疫情期间4794名集中隔离人员进行问卷调查,并进行优势分析。结果:失眠、抑郁和焦虑的检出率分别为17.48%、14.41%和12.13%;失眠与抑郁和焦虑显著正相关(r=0.73; 0.64; P < 0.001);根据优势分析,失眠的预测因素包括性别、抑郁和焦虑,按相对重要性排序,抑郁(贡献率:59.04%)、焦虑(贡献率:40.08%)和年龄(贡献率:0.83%)是影响隔离个体失眠发生的因素。此外,抑郁对隔离个体失眠的预测力高于焦虑和性别,焦虑对隔离个体失眠症的预测力大于年龄。结论:集中隔离人员的失眠程度受到抑郁、焦虑和性别等因素的影响。
Objectives: The aim of this study is to investigate the psychological factors influencing insomnia among individuals under centralized quarantine during the outbreak of COVID-19, and to deter-mine their relative importance. Method: This study used the Insomnia Severity Index, Depression Screening Scale, and Generalized Anxiety Scale to conduct a questionnaire survey on 4794 individ-uals under centralized quarantine in the western part of Guangdong province during the COVID-19 outbreak in 2022, and conducted a dominance analysis. Results: The prevalence rates of insomnia, depression, and anxiety were 17.48%, 14.41%, and 12.13%, respectively. Insomnia was signifi-cantly and positively correlated with depression and anxiety (r = 0.73; 0.64; P < 0.001). According to the dominance analysis, the predictors of insomnia included gender, depression, and anxiety. In order of relative importance, the factors were depression (contribution rate: 59.04%), anxiety (contribution rate: 40.08%), and age (contribution rate: 0.83%). Furthermore, depression had more predictive power than anxiety and gender for insomnia incidence in quarantined individuals, and anxiety had more predictive power than age. Conclusions: The degree of insomnia among cen-tralized quarantine personnel is influenced by factors such as depression, anxiety, and gender.

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