Residential College | false |
Status | 已發表Published |
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![]() ![]() ![]() | |
2023 | |
Source Publication | Frontiers in Psychology
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ABS Journal Level | 1 |
ISSN | 1664-1078 |
Volume | 14 |
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. |
Keyword | Covid-19 Depression Network Analysis Prevalence Quality Of Life |
DOI | 10.3389/fpsyg.2023.1164232 |
URL | View the original |
Indexed By | SSCI |
Language | 英語English |
WOS Research Area | Psychology |
WOS Subject | Psychology, Multidisciplinary |
WOS ID | WOS:000982345300001 |
Publisher | Frontiers Media S.A. |
Scopus ID | 2-s2.0-85158088040 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | Faculty of Health Sciences DEPARTMENT OF PUBLIC HEALTH AND MEDICINAL ADMINISTRATION |
Corresponding Author | Sha,Sha; Xiang,Yu Tao |
Affiliation | 1.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 Affilication | Faculty of Health Sciences; University of Macau |
Corresponding Author Affilication | Faculty 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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