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Article: Differential Associations Between Depressive Symptom-Domains With Anxiety, Loneliness, and Cognition in a Sample of Community Older Chinese Adults: A Multiple Indicators Multiple Causes Approach

TitleDifferential Associations Between Depressive Symptom-Domains With Anxiety, Loneliness, and Cognition in a Sample of Community Older Chinese Adults: A Multiple Indicators Multiple Causes Approach
Authors
KeywordsCommon mental health issues
Depression and anxiety
Mental health
Quantitative research methods
Research domain criteria
Issue Date19-Jul-2023
PublisherOxford University Press
Citation
Innovation in Aging, 2023, v. 7, n. 7 How to Cite?
AbstractBackground and Objectives: Depressive symptoms are common in older adults, and often co-occur with other mental health problems. However, knowledge about depressive symptom-domains and their associations with other conditions is limited. This study examined depressive symptom-domains and associations with anxiety, cognition, and loneliness. Research Design and Methods: A sample of 3,795 participants aged 60 years and older were recruited from the community in Hong Kong. They were assessed for depressive symptoms (Patient Health Questionnaire-9 [PHQ-9]), anxiety (Generalized Anxiety Disorder 7-item), loneliness (UCLA 3-item), and cognition (Montreal Cognitive Assessment 5-Minute Protocol). Summary descriptive statistics were calculated, followed by confirmatory factor analysis of PHQ-9. Multiple Indicators Multiple Causes analysis was used to examine the associations between mental health conditions in the general sample and subgroups based on depressive symptom severity. Results: A 4-factor model based on the Research Domain Criteria showed the best model fit of PHQ-9 (χ2/df = 10.63, Root-Mean-Square Error of Approximation = 0.05, Comparative Fit Index = 0.96, Tucker-Lewis Index = 0.93). After adjusting for demographics, 4 depressive symptom-domains were differentially associated with anxiety, loneliness, and cognition across different depression severity groups. The Negative Valance Systems and Internalizing domain (NVS-I; guilt and self-harm) were consistently associated with anxiety (β = 0.45, 0.44) and loneliness (β = 0.11, 0.27) regardless of depression severity (at risk/mild vs moderate and more severe, respectively, all p <. 001). Discussion and Implications: The consistent associations between the NVS-I domain of depression with anxiety and loneliness warrant attention. Simultaneous considerations of depressive symptom-domains and symptom severity are needed for designing more personalized care. Clinical Trials Registration Number: NCT03593889
Persistent Identifierhttp://hdl.handle.net/10722/347520
ISSN
2023 Impact Factor: 4.9
2023 SCImago Journal Rankings: 1.052

 

DC FieldValueLanguage
dc.contributor.authorLiu, Tianyin-
dc.contributor.authorPeng, Man Man-
dc.contributor.authorWong, Frankie HC-
dc.contributor.authorLeung, Dara KY-
dc.contributor.authorZhang, Wen-
dc.contributor.authorWong, Gloria HY-
dc.contributor.authorLum, Terry YS-
dc.date.accessioned2024-09-25T00:30:29Z-
dc.date.available2024-09-25T00:30:29Z-
dc.date.issued2023-07-19-
dc.identifier.citationInnovation in Aging, 2023, v. 7, n. 7-
dc.identifier.issn2399-5300-
dc.identifier.urihttp://hdl.handle.net/10722/347520-
dc.description.abstractBackground and Objectives: Depressive symptoms are common in older adults, and often co-occur with other mental health problems. However, knowledge about depressive symptom-domains and their associations with other conditions is limited. This study examined depressive symptom-domains and associations with anxiety, cognition, and loneliness. Research Design and Methods: A sample of 3,795 participants aged 60 years and older were recruited from the community in Hong Kong. They were assessed for depressive symptoms (Patient Health Questionnaire-9 [PHQ-9]), anxiety (Generalized Anxiety Disorder 7-item), loneliness (UCLA 3-item), and cognition (Montreal Cognitive Assessment 5-Minute Protocol). Summary descriptive statistics were calculated, followed by confirmatory factor analysis of PHQ-9. Multiple Indicators Multiple Causes analysis was used to examine the associations between mental health conditions in the general sample and subgroups based on depressive symptom severity. Results: A 4-factor model based on the Research Domain Criteria showed the best model fit of PHQ-9 (χ2/df = 10.63, Root-Mean-Square Error of Approximation = 0.05, Comparative Fit Index = 0.96, Tucker-Lewis Index = 0.93). After adjusting for demographics, 4 depressive symptom-domains were differentially associated with anxiety, loneliness, and cognition across different depression severity groups. The Negative Valance Systems and Internalizing domain (NVS-I; guilt and self-harm) were consistently associated with anxiety (β = 0.45, 0.44) and loneliness (β = 0.11, 0.27) regardless of depression severity (at risk/mild vs moderate and more severe, respectively, all p <. 001). Discussion and Implications: The consistent associations between the NVS-I domain of depression with anxiety and loneliness warrant attention. Simultaneous considerations of depressive symptom-domains and symptom severity are needed for designing more personalized care. Clinical Trials Registration Number: NCT03593889-
dc.languageeng-
dc.publisherOxford University Press-
dc.relation.ispartofInnovation in Aging-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectCommon mental health issues-
dc.subjectDepression and anxiety-
dc.subjectMental health-
dc.subjectQuantitative research methods-
dc.subjectResearch domain criteria-
dc.titleDifferential Associations Between Depressive Symptom-Domains With Anxiety, Loneliness, and Cognition in a Sample of Community Older Chinese Adults: A Multiple Indicators Multiple Causes Approach-
dc.typeArticle-
dc.identifier.doi10.1093/geroni/igad075-
dc.identifier.scopuseid_2-s2.0-85173941067-
dc.identifier.volume7-
dc.identifier.issue7-
dc.identifier.eissn2399-5300-
dc.identifier.issnl2399-5300-

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