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The network structures of depressive and insomnia symptoms among cancer patients using propensity score matching: Findings from the Health and Retirement Study (HRS)
Chen, Meng Yi1,2; Bai, Wei1,2,3; Wu, Xiao Dan1,2,4; Sha, Sha5; Su, Zhaohui6; Cheung, Teris7; Pang, Ying8; Ng, Chee H.9; Zhang, Qinge4,5; Xiang, Yu Tao1,2
2024-07-01
Source PublicationJournal of Affective Disorders
ISSN0165-0327
Volume356Pages:450-458
Abstract

Objective: Both depression and insomnia are found to be more prevalent in cancer patients compared to the general population. This study compared the network structures of depression and insomnia among cancer patients versus cancer-free participants (controls hereafter).

Method: The 8-item Center for Epidemiological Studies Depression Scale (CESD-8) and the 4-item Jenkins Sleep Scale (JSS-4) were used to measure depressive and insomnia symptoms, respectively. Propensity score matching (PSM) was used to construct the control group using data from the Health and Retirement Study (HRS). In total, a sample consisting of 2216 cancer patients and 2216 controls was constructed. Central (influential) and bridge symptoms were estimated using the expected influence (EI) and bridge expected influence (bridge EI), respectively. Network stability was assessed using the case-dropping bootstrap method.

Result: The prevalence of depression (CESD-8 total score ≥ 4) in cancer patients was significantly higher compared to the control group (28.56 % vs. 24.73 %; P = 0.004). Cancer patients also had more severe depressive symptoms relative to controls, but there was no significant group difference for insomnia symptoms. The network structures of depressive and insomnia symptoms were comparable between cancer patients and controls. “Felt sadness” (EI: 6.866 in cancer patients; EI: 5.861 in controls), “Felt unhappy” (EI: 6.371 in cancer patients; EI: 5.720 in controls) and “Felt depressed” (EI: 6.003 in cancer patients; EI: 5.880 in controls) emerged as the key central symptoms, and “Felt tired in morning” (bridge EI: 1.870 in cancer patients; EI: 1.266 in controls) and “Everything was an effort” (bridge EI: 1.046 in cancer patients; EI: 0.921 in controls) were the key bridge symptoms across both groups. 

Conclusion: Although cancer patients had more frequent and severe depressive symptoms compared to controls, no significant difference was observed in the network structure or strength of the depressive and insomnia symptoms. Consequently, psychosocial interventions for treating depression and insomnia in the general population could be equally applicable for cancer patients who experience depression and insomnia.

KeywordCancer Depression Insomnia Network Analysis
DOI10.1016/j.jad.2024.04.035
URLView the original
Indexed BySCIE ; SSCI
Language英語English
WOS Research AreaNeurosciences & Neurology ; Psychiatry
WOS SubjectClinical Neurology ; Psychiatry
WOS IDWOS:001287258100001
PublisherELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
Scopus ID2-s2.0-85190733657
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionInstitute of Translational Medicine
Faculty of Health Sciences
INSTITUTE OF COLLABORATIVE INNOVATION
DEPARTMENT OF PUBLIC HEALTH AND MEDICINAL ADMINISTRATION
Corresponding AuthorNg, Chee H.; Zhang, Qinge; 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.Department of Epidemiology and Biostatistics, School of Public Health, Jilin University
4.State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
5.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,
6.School of Public Health, Southeast University, Nanjing, China
7.School of Nursing, Hong Kong Polytechnic University, Hong Kong, SAR, Hong Kong
8.Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Psycho-Oncology, Peking University Cancer Hospital & Institute, Beijing, China
9.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
Chen, Meng Yi,Bai, Wei,Wu, Xiao Dan,et al. The network structures of depressive and insomnia symptoms among cancer patients using propensity score matching: Findings from the Health and Retirement Study (HRS)[J]. Journal of Affective Disorders, 2024, 356, 450-458.
APA Chen, Meng Yi., Bai, Wei., Wu, Xiao Dan., Sha, Sha., Su, Zhaohui., Cheung, Teris., Pang, Ying., Ng, Chee H.., Zhang, Qinge., & Xiang, Yu Tao (2024). The network structures of depressive and insomnia symptoms among cancer patients using propensity score matching: Findings from the Health and Retirement Study (HRS). Journal of Affective Disorders, 356, 450-458.
MLA Chen, Meng Yi,et al."The network structures of depressive and insomnia symptoms among cancer patients using propensity score matching: Findings from the Health and Retirement Study (HRS)".Journal of Affective Disorders 356(2024):450-458.
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