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Depression and quality of life among Macau residents in the 2022 COVID-19 pandemic wave from the perspective of network analysis
Si,Tong Leong1,2; Chen,Pan1,2; Zhang,Ling3; Sha,Sha3; Lam,Mei Ieng4; Lok,Ka In5; Chow,Ines Hang Iao1,2; Li,Jia Xin2; Wang,Yue Ying2; Su,Zhaohui6; Cheung,Teris7; Ungvari,Gabor S.8,9; Ng,Chee H.10; Feng,Yuan3; Xiang,Yu Tao1,2
2023
Source PublicationFrontiers in Psychology
ABS Journal Level1
ISSN1664-1078
Volume14
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; p < 0.001), anxiety (OR = 1.515; p < 0.001), fatigue (OR = 1.338; p < 0.001), and economic loss (OR = 1.933; p = 0.026). Participants with depression had lower QoL F (1, 1,008) =5.538, p = 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.

KeywordCovid-19 Depression Network Analysis Prevalence Quality Of Life
DOI10.3389/fpsyg.2023.1164232
URLView the original
Indexed BySSCI
Language英語English
WOS Research AreaPsychology
WOS SubjectPsychology, Multidisciplinary
WOS IDWOS:000982345300001
PublisherFrontiers Media S.A.
Scopus ID2-s2.0-85158088040
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionFaculty of Health Sciences
DEPARTMENT OF PUBLIC HEALTH AND MEDICINAL ADMINISTRATION
Corresponding AuthorSha,Sha; Xiang,Yu Tao
Affiliation1.Unit of Psychiatry,Department of Public Health and Medicinal Administration,and Institute of Translational Medicine,Faculty of Health Sciences,University of Macau,Macao
2.Centre for Cognitive and Brain Sciences,University of Macau,Macao
3.The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders,Beijing Anding Hospital,The Advanced Innovation Center for Human Brain Protection,Capital Medical University,Beijing,China
4.Kiang Wu Nursing College of Macao,Macao
5.Faculty of Health Sciences and Sports,Macao Polytechnic University,Macao
6.School of Public Health,Southeast University,Nanjing,China
7.School of Nursing,Hong Kong Polytechnic University,Hong Kong,Hong Kong
8.University of Notre Dame Australia,Fremantle,Australia
9.Division of Psychiatry,School of Medicine,University of Western Australia/Graylands Hospital,Mount Claremont,Australia
10.Department of Psychiatry,The Melbourne Clinic and St Vincent's Hospital,University of Melbourne,Richmond,Australia
First Author AffilicationFaculty of Health Sciences;  University of Macau
Corresponding Author AffilicationFaculty of Health Sciences;  University of Macau
Recommended Citation
GB/T 7714
Si,Tong Leong,Chen,Pan,Zhang,Ling,et al. Depression and quality of life among Macau residents in the 2022 COVID-19 pandemic wave from the perspective of network analysis[J]. Frontiers in Psychology, 2023, 14.
APA 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 (2023). Depression and quality of life among Macau residents in the 2022 COVID-19 pandemic wave from the perspective of network analysis. Frontiers in Psychology, 14.
MLA Si,Tong Leong,et al."Depression and quality of life among Macau residents in the 2022 COVID-19 pandemic wave from the perspective of network analysis".Frontiers in Psychology 14(2023).
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