从网络分析角度看2022年新冠疫情期间澳门居民的抑郁与生活质量

Depression and quality of life among Macau residents in the 2022 COVID-19 pandemic wave from the perspective of network analysis.

作者信息

Si Tong Leong, Chen Pan, Zhang Ling, Sha Sha, Lam Mei Ieng, Lok Ka-In, Chow Ines Hang Iao, Li Jia-Xin, Wang Yue-Ying, Su Zhaohui, Cheung Teris, Ungvari Gabor S, Ng Chee H, Feng Yuan, Xiang Yu-Tao

机构信息

Unit of Psychiatry, Department of Public Health and Medicinal Administration, and Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao, Macao SAR, China.

Centre for Cognitive and Brain Sciences, University of Macau, Macao, Macao SAR, China.

出版信息

Front Psychol. 2023 Apr 24;14:1164232. doi: 10.3389/fpsyg.2023.1164232. eCollection 2023.

DOI:10.3389/fpsyg.2023.1164232

PMID:37168423

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10165090/

Abstract

BACKGROUND

In the summer of 2022, Macau experienced a surge of COVID-19 infections (the 618 COVID-19 wave), which had serious effects on mental health and quality of life (QoL). However, there is scant research on mental health problems and QoL among Macau residents during the 618 COVID-19 wave. This study examined the network structure of depressive symptoms (hereafter depression), and the interconnection between different depressive symptoms and QoL among Macau residents during this period.

METHOD

A cross-sectional study was conducted between 26th July and 9th September 2022. Depressive symptoms were measured with the 9-item Patient Health Questionnaire (PHQ-9), while the global QoL was measured with the two items of the World Health Organization Quality of Life-brief version (WHOQOL-BREF). Correlates of depression were explored using univariate and multivariate analyses. The association between depression and QoL was investigated using analysis of covariance (ANCOVA). Network analysis was used to evaluate the structure of depression. The centrality index "Expected Influence" (EI) was used to identify the most central symptoms and the flow function was used to identify depressive symptoms that had a direct bearing on QoL.

RESULTS

A total 1,008 participants were included in this study. The overall prevalence of depression was 62.5% (n = 630; 95% CI = 60.00-65.00%). Having depression was significantly associated with younger age (OR = 0.970; < 0.001), anxiety (OR = 1.515; < 0.001), fatigue (OR = 1.338; < 0.001), and economic loss (OR = 1.933; = 0.026). Participants with depression had lower QoL F (1, 1,008) =5.538, = 0.019). The most central symptoms included PHQ2 ("Sad Mood") (EI: 1.044), PHQ4 ("Fatigue") (EI: 1.016), and PHQ6 ("Guilt") (EI: 0.975) in the depression network model, while PHQ4 ("Fatigue"), PHQ9 ("Suicide"), and PHQ6 ("Guilt") had strong negative associations with QoL.

CONCLUSION

Depression was common among Macao residents during the 618 COVID-19 wave. Given the negative impact of depression on QoL, interventions targeting central symptoms identified in the network model (e.g., cognitive behavioral therapy) should be developed and implemented for Macau residents with depression.

摘要

背景

2022年夏季，澳门经历了新冠病毒感染激增（即618新冠疫情浪潮），这对心理健康和生活质量产生了严重影响。然而，关于618新冠疫情浪潮期间澳门居民心理健康问题和生活质量的研究却很少。本研究调查了抑郁症状（以下简称抑郁症）的网络结构，以及在此期间澳门居民不同抑郁症状与生活质量之间的相互联系。

方法

于2022年7月26日至9月9日进行了一项横断面研究。使用9项患者健康问卷（PHQ-9）测量抑郁症状，同时使用世界卫生组织生活质量简表（WHOQOL-BREF）的两个项目测量总体生活质量。使用单变量和多变量分析探索抑郁症的相关因素。使用协方差分析（ANCOVA）研究抑郁症与生活质量之间的关联。使用网络分析评估抑郁症的结构。中心性指数“预期影响”（EI）用于识别最核心的症状，流量函数用于识别与生活质量直接相关的抑郁症状。

结果

本研究共纳入1008名参与者。抑郁症的总体患病率为62.5%（n = 630；95% CI = 60.00 - 65.00%）。患有抑郁症与较年轻的年龄（OR = 0.970；P < 0.001）、焦虑（OR = 1.515；P < 0.001）、疲劳（OR = 1.338；P < 0.001）和经济损失（OR = 1.933；P = 0.026）显著相关。患有抑郁症的参与者生活质量较低（F(1, 1008) = 5.538，P = 0.019）。在抑郁症网络模型中，最核心的症状包括PHQ2（“悲伤情绪”）（EI：1.044）、PHQ4（“疲劳”）（EI：1.016）和PHQ6（“内疚”）（EI：0.975），而PHQ4（“疲劳”）、PHQ9（“自杀”）和PHQ6（“内疚”）与生活质量有很强的负相关。