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Interactive changes in depression and loneliness symptoms prior to and during the COVID-19 pandemic: A longitudinal network analysis
Sun, He Li1,2; Zhang, Qinge3; Si, Tong Leong1; Bai, Wei1,2; Chen, Pan1,2; Lam, Mei Ieng1,4; Lok, Ka In5; Su, Zhaohui6; Cheung, Teris7; Ungvari, Gabor S.8,9; Jackson, Todd10; Sha, Sha3; Xiang, Yu Tao1,2
2024-03-01
Source PublicationPsychiatry Research
ISSN0165-1781
Volume333Pages:115744
Abstract

Objectives: Depression and loneliness co-occur frequently. This study examined interactive changes between depression and loneliness among older adults prior to and during the COVID-19 pandemic from a longitudinal network perspective. Methods: This network study was based on data from three waves (2016–2017, 2018–2019, and 2020) of the English Longitudinal Study of Ageing (ELSA). Depression and loneliness were measured with the eight-item version of the Center for Epidemiologic Studies Depression Scale (CESD-8) and three item version of the University of California Los Angeles (UCLA) Loneliness Scale, respectively. A network model was constructed using an Ising Model while network differences were assessed using a Network Comparison Test. Central symptoms were identified via Expected Influence (EI). Results: A total of 4,293 older adults were included in this study. The prevalence and network of depression and loneliness did not change significantly between the baseline and pre-pandemic assessments but increased significantly from the pre-pandemic assessment to during COVID-19 assessment. The central symptom with the strongest increase from pre-pandemic to pandemic assessments was "Inability to get going" (CESD8) and the edge with the highest increase across depression-loneliness symptom communities was “Lack companionship” (UCLA1) - "Inability to get going" (CESD8). Finally, “Feeling depressed” (CESD1) and “Everything was an effort" (CESD2) were the most central symptoms over the three assessment periods. Conclusions: The COVID-19 pandemic was associated with significant changes in the depression-loneliness network model. The most changed symptoms and edges could be treatment targets for reducing the risk of depression and loneliness in older adults.

KeywordDepression Loneliness Longitudinal Network Analysis
DOI10.1016/j.psychres.2024.115744
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaPsychiatry
WOS SubjectPsychiatry
WOS IDWOS:001180217100001
PublisherELSEVIER IRELAND LTDELSEVIER HOUSE, BROOKVALE PLAZA, EAST PARK SHANNON, CO, CLARE 00000, IRELAND
Scopus ID2-s2.0-85184068514
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionDEPARTMENT OF PUBLIC HEALTH AND MEDICINAL ADMINISTRATION
Faculty of Health Sciences
DEPARTMENT OF PSYCHOLOGY
Institute of Translational Medicine
Corresponding AuthorSha, Sha; Xiang, Yu Tao
Affiliation1.Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao, SAR, China
2.Centre for Cognitive and Brain Sciences, University of Macau, Macao, SAR, China
3.Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
4.Kiang Wu Nursing College of Macau, Macau, SAR, China
5.Faculty of Health Sciences and Sports, Macao Polytechnic University, Macao SAR, China
6.School of Public Health, Southeast University, Nanjing, China
7.School of Nursing, Hong Kong Polytechnic University, Hong Kong, SAR, Hong Kong
8.University of Notre Dame Australia, Australia
9.Division of Psychiatry, School of Medicine, University of Western Australia, Perth, Australia
10.Department of Psychology, University of Macau, Macao, SAR, China
First Author AffilicationFaculty of Health Sciences;  University of Macau
Corresponding Author AffilicationFaculty of Health Sciences;  University of Macau
Recommended Citation
GB/T 7714
Sun, He Li,Zhang, Qinge,Si, Tong Leong,et al. Interactive changes in depression and loneliness symptoms prior to and during the COVID-19 pandemic: A longitudinal network analysis[J]. Psychiatry Research, 2024, 333, 115744.
APA Sun, He Li., Zhang, Qinge., Si, Tong Leong., Bai, Wei., Chen, Pan., Lam, Mei Ieng., Lok, Ka In., Su, Zhaohui., Cheung, Teris., Ungvari, Gabor S.., Jackson, Todd., Sha, Sha., & Xiang, Yu Tao (2024). Interactive changes in depression and loneliness symptoms prior to and during the COVID-19 pandemic: A longitudinal network analysis. Psychiatry Research, 333, 115744.
MLA Sun, He Li,et al."Interactive changes in depression and loneliness symptoms prior to and during the COVID-19 pandemic: A longitudinal network analysis".Psychiatry Research 333(2024):115744.
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