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Identification of Central Symptoms in Depression of Older Adults With the Geriatric Depression Scale Using Network Analysis and Item Response Theory

OBJECTIVE: This study aimed to identify the central symptoms of late-life depression using network analysis and the item response theory. METHODS: A total of 3,472 older adults were enrolled and the Geriatric Depression Scale-15 (GDS-15) was used to evaluate the depressive symptoms. To identify the...

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Autores principales: Kim, Kyoung Min, Kim, Dohyun, Chung, Un Sun, Lee, Jung Jae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Neuropsychiatric Association 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600216/
https://www.ncbi.nlm.nih.gov/pubmed/34710960
http://dx.doi.org/10.30773/pi.2021.0453
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author Kim, Kyoung Min
Kim, Dohyun
Chung, Un Sun
Lee, Jung Jae
author_facet Kim, Kyoung Min
Kim, Dohyun
Chung, Un Sun
Lee, Jung Jae
author_sort Kim, Kyoung Min
collection PubMed
description OBJECTIVE: This study aimed to identify the central symptoms of late-life depression using network analysis and the item response theory. METHODS: A total of 3,472 older adults were enrolled and the Geriatric Depression Scale-15 (GDS-15) was used to evaluate the depressive symptoms. To identify the central symptoms and the network structures among the individual symptoms, the analyses of symptom network structures and item response theory were performed. RESULTS: Among items on the GDS-15, “Happy,” “Hopeless,” “Empty,” “Bored,” “Worthless,” and “Good spirits” showed significantly higher strength centrality than the other symptoms. Among all the edges, the edge between “Empty” and “Bored” was the strongest; however, these two symptoms were not connected strongly to other symptoms. In the analysis of item response theory, “Empty,” “Bored,” “Hopeless,” “Worthless,” “Happy,” “Helpless,” and “Satisfied” presented a very high value on the discrimination parameter. CONCLUSION: Our study identified the central symptoms and the network structures among symptoms listed on the GDS-15. Most of central symptoms identified by network analysis and item response theory coincided. Our results suggest that these central symptoms need to be prioritized as highly comorbid symptoms and can contribute to the development of a brief screening tool for the elderly.
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spelling pubmed-86002162021-11-18 Identification of Central Symptoms in Depression of Older Adults With the Geriatric Depression Scale Using Network Analysis and Item Response Theory Kim, Kyoung Min Kim, Dohyun Chung, Un Sun Lee, Jung Jae Psychiatry Investig Original Article OBJECTIVE: This study aimed to identify the central symptoms of late-life depression using network analysis and the item response theory. METHODS: A total of 3,472 older adults were enrolled and the Geriatric Depression Scale-15 (GDS-15) was used to evaluate the depressive symptoms. To identify the central symptoms and the network structures among the individual symptoms, the analyses of symptom network structures and item response theory were performed. RESULTS: Among items on the GDS-15, “Happy,” “Hopeless,” “Empty,” “Bored,” “Worthless,” and “Good spirits” showed significantly higher strength centrality than the other symptoms. Among all the edges, the edge between “Empty” and “Bored” was the strongest; however, these two symptoms were not connected strongly to other symptoms. In the analysis of item response theory, “Empty,” “Bored,” “Hopeless,” “Worthless,” “Happy,” “Helpless,” and “Satisfied” presented a very high value on the discrimination parameter. CONCLUSION: Our study identified the central symptoms and the network structures among symptoms listed on the GDS-15. Most of central symptoms identified by network analysis and item response theory coincided. Our results suggest that these central symptoms need to be prioritized as highly comorbid symptoms and can contribute to the development of a brief screening tool for the elderly. Korean Neuropsychiatric Association 2021-11 2021-10-29 /pmc/articles/PMC8600216/ /pubmed/34710960 http://dx.doi.org/10.30773/pi.2021.0453 Text en Copyright © 2021 Korean Neuropsychiatric Association https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Kim, Kyoung Min
Kim, Dohyun
Chung, Un Sun
Lee, Jung Jae
Identification of Central Symptoms in Depression of Older Adults With the Geriatric Depression Scale Using Network Analysis and Item Response Theory
title Identification of Central Symptoms in Depression of Older Adults With the Geriatric Depression Scale Using Network Analysis and Item Response Theory
title_full Identification of Central Symptoms in Depression of Older Adults With the Geriatric Depression Scale Using Network Analysis and Item Response Theory
title_fullStr Identification of Central Symptoms in Depression of Older Adults With the Geriatric Depression Scale Using Network Analysis and Item Response Theory
title_full_unstemmed Identification of Central Symptoms in Depression of Older Adults With the Geriatric Depression Scale Using Network Analysis and Item Response Theory
title_short Identification of Central Symptoms in Depression of Older Adults With the Geriatric Depression Scale Using Network Analysis and Item Response Theory
title_sort identification of central symptoms in depression of older adults with the geriatric depression scale using network analysis and item response theory
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600216/
https://www.ncbi.nlm.nih.gov/pubmed/34710960
http://dx.doi.org/10.30773/pi.2021.0453
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