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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
Title | 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 |
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Authors | |
Keywords | Common mental health issues Depression and anxiety Mental health Quantitative research methods Research domain criteria |
Issue Date | 19-Jul-2023 |
Publisher | Oxford University Press |
Citation | Innovation in Aging, 2023, v. 7, n. 7 How to Cite? |
Abstract | Background 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 Identifier | http://hdl.handle.net/10722/347520 |
ISSN | 2023 Impact Factor: 4.9 2023 SCImago Journal Rankings: 1.052 |
DC Field | Value | Language |
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dc.contributor.author | Liu, Tianyin | - |
dc.contributor.author | Peng, Man Man | - |
dc.contributor.author | Wong, Frankie HC | - |
dc.contributor.author | Leung, Dara KY | - |
dc.contributor.author | Zhang, Wen | - |
dc.contributor.author | Wong, Gloria HY | - |
dc.contributor.author | Lum, Terry YS | - |
dc.date.accessioned | 2024-09-25T00:30:29Z | - |
dc.date.available | 2024-09-25T00:30:29Z | - |
dc.date.issued | 2023-07-19 | - |
dc.identifier.citation | Innovation in Aging, 2023, v. 7, n. 7 | - |
dc.identifier.issn | 2399-5300 | - |
dc.identifier.uri | http://hdl.handle.net/10722/347520 | - |
dc.description.abstract | Background 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.language | eng | - |
dc.publisher | Oxford University Press | - |
dc.relation.ispartof | Innovation in Aging | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Common mental health issues | - |
dc.subject | Depression and anxiety | - |
dc.subject | Mental health | - |
dc.subject | Quantitative research methods | - |
dc.subject | Research domain criteria | - |
dc.title | 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 | - |
dc.type | Article | - |
dc.identifier.doi | 10.1093/geroni/igad075 | - |
dc.identifier.scopus | eid_2-s2.0-85173941067 | - |
dc.identifier.volume | 7 | - |
dc.identifier.issue | 7 | - |
dc.identifier.eissn | 2399-5300 | - |
dc.identifier.issnl | 2399-5300 | - |