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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

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 association...

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Autores principales: Liu, Tianyin, Peng, Man-Man, Wong, Frankie H C, Leung, Dara K Y, Zhang, Wen, Wong, Gloria H Y, Lum, Terry Y S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10506173/
https://www.ncbi.nlm.nih.gov/pubmed/37727600
http://dx.doi.org/10.1093/geroni/igad075
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author Liu, Tianyin
Peng, Man-Man
Wong, Frankie H C
Leung, Dara K Y
Zhang, Wen
Wong, Gloria H Y
Lum, Terry Y S
author_facet Liu, Tianyin
Peng, Man-Man
Wong, Frankie H C
Leung, Dara K Y
Zhang, Wen
Wong, Gloria H Y
Lum, Terry Y S
author_sort Liu, Tianyin
collection PubMed
description 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 (χ(2)/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
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spelling pubmed-105061732023-09-19 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 Liu, Tianyin Peng, Man-Man Wong, Frankie H C Leung, Dara K Y Zhang, Wen Wong, Gloria H Y Lum, Terry Y S Innov Aging Original Research Article 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 (χ(2)/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 Oxford University Press 2023-07-19 /pmc/articles/PMC10506173/ /pubmed/37727600 http://dx.doi.org/10.1093/geroni/igad075 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of The Gerontological Society of America. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Research Article
Liu, Tianyin
Peng, Man-Man
Wong, Frankie H C
Leung, Dara K Y
Zhang, Wen
Wong, Gloria H Y
Lum, Terry Y S
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
title_full 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_fullStr 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_full_unstemmed 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_short 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_sort 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
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10506173/
https://www.ncbi.nlm.nih.gov/pubmed/37727600
http://dx.doi.org/10.1093/geroni/igad075
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