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Quantitative comorbidity risk assessment of dementia in Taiwan: A population-based cohort study
Dementia is one of the most burdensome illnesses in elderly populations worldwide. However, the literature about multiple risk factors for dementia is scant. To develop a simple, rapid, and appropriate predictive tool for the clinical quantitative assessment of multiple risk factors for dementia. A...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5908585/ https://www.ncbi.nlm.nih.gov/pubmed/29642154 http://dx.doi.org/10.1097/MD.0000000000010298 |
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author | Lin, Chun-Hung Richard Tsai, Jui-Hsiu Wu, Shihn-Sheng Chang, Yang-Pei Wen, Yen-Hsia Liu, Jain-Shing Lung, For-Wey |
author_facet | Lin, Chun-Hung Richard Tsai, Jui-Hsiu Wu, Shihn-Sheng Chang, Yang-Pei Wen, Yen-Hsia Liu, Jain-Shing Lung, For-Wey |
author_sort | Lin, Chun-Hung Richard |
collection | PubMed |
description | Dementia is one of the most burdensome illnesses in elderly populations worldwide. However, the literature about multiple risk factors for dementia is scant. To develop a simple, rapid, and appropriate predictive tool for the clinical quantitative assessment of multiple risk factors for dementia. A population-based cohort study. Based on the Taiwan National Health Insurance Research Database, participants first diagnosed with dementia from 2000 to 2009 and aged ≥65 years in 2000 were included. A logistic regression model with Bayesian supervised learning inference was implemented to evaluate the quantitative effects of 1- to 6-comorbidity risk factors for dementia in the elderly Taiwanese population: depression, vascular disease, severe head injury, hearing loss, diabetes mellitus (DM), and senile cataract, identified from a nationwide longitudinal population-based database. This study enrolled 4749 (9.5%) patients first diagnosed as having dementia. Aged, female, urban residence, and low income were found as independent sociodemographic risk factors for dementia. Among all odds ratios (ORs) of 2-comorbidity risk factors for dementia, comorbid depression and vascular disease had the highest adjusted OR of 6.726. The 5-comorbidity risk factors, namely depression, vascular disease, severe head injury, hearing loss, and DM, exhibited the highest OR of 8.767. Overall, the quantitative effects of 2 to 6 comorbidities and age difference on dementia gradually increased; hence, their ORs were less than additive. These results indicate that depression is a key comorbidity risk factor for dementia. The present findings suggest that physicians should pay more attention to the role of depression in dementia development. Depression is a key cormorbidity risk factor for dementia. It is the urgency of evaluating the nature of the link between depression and dementia; and further testing what extent controlling depression could effectively lead to the prevention of dementia. |
format | Online Article Text |
id | pubmed-5908585 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-59085852018-04-30 Quantitative comorbidity risk assessment of dementia in Taiwan: A population-based cohort study Lin, Chun-Hung Richard Tsai, Jui-Hsiu Wu, Shihn-Sheng Chang, Yang-Pei Wen, Yen-Hsia Liu, Jain-Shing Lung, For-Wey Medicine (Baltimore) 3700 Dementia is one of the most burdensome illnesses in elderly populations worldwide. However, the literature about multiple risk factors for dementia is scant. To develop a simple, rapid, and appropriate predictive tool for the clinical quantitative assessment of multiple risk factors for dementia. A population-based cohort study. Based on the Taiwan National Health Insurance Research Database, participants first diagnosed with dementia from 2000 to 2009 and aged ≥65 years in 2000 were included. A logistic regression model with Bayesian supervised learning inference was implemented to evaluate the quantitative effects of 1- to 6-comorbidity risk factors for dementia in the elderly Taiwanese population: depression, vascular disease, severe head injury, hearing loss, diabetes mellitus (DM), and senile cataract, identified from a nationwide longitudinal population-based database. This study enrolled 4749 (9.5%) patients first diagnosed as having dementia. Aged, female, urban residence, and low income were found as independent sociodemographic risk factors for dementia. Among all odds ratios (ORs) of 2-comorbidity risk factors for dementia, comorbid depression and vascular disease had the highest adjusted OR of 6.726. The 5-comorbidity risk factors, namely depression, vascular disease, severe head injury, hearing loss, and DM, exhibited the highest OR of 8.767. Overall, the quantitative effects of 2 to 6 comorbidities and age difference on dementia gradually increased; hence, their ORs were less than additive. These results indicate that depression is a key comorbidity risk factor for dementia. The present findings suggest that physicians should pay more attention to the role of depression in dementia development. Depression is a key cormorbidity risk factor for dementia. It is the urgency of evaluating the nature of the link between depression and dementia; and further testing what extent controlling depression could effectively lead to the prevention of dementia. Wolters Kluwer Health 2018-04-13 /pmc/articles/PMC5908585/ /pubmed/29642154 http://dx.doi.org/10.1097/MD.0000000000010298 Text en Copyright © 2018 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nd/4.0 This is an open access article distributed under the Creative Commons Attribution-NoDerivatives License 4.0, which allows for redistribution, commercial and non-commercial, as long as it is passed along unchanged and in whole, with credit to the author. http://creativecommons.org/licenses/by-nd/4.0 |
spellingShingle | 3700 Lin, Chun-Hung Richard Tsai, Jui-Hsiu Wu, Shihn-Sheng Chang, Yang-Pei Wen, Yen-Hsia Liu, Jain-Shing Lung, For-Wey Quantitative comorbidity risk assessment of dementia in Taiwan: A population-based cohort study |
title | Quantitative comorbidity risk assessment of dementia in Taiwan: A population-based cohort study |
title_full | Quantitative comorbidity risk assessment of dementia in Taiwan: A population-based cohort study |
title_fullStr | Quantitative comorbidity risk assessment of dementia in Taiwan: A population-based cohort study |
title_full_unstemmed | Quantitative comorbidity risk assessment of dementia in Taiwan: A population-based cohort study |
title_short | Quantitative comorbidity risk assessment of dementia in Taiwan: A population-based cohort study |
title_sort | quantitative comorbidity risk assessment of dementia in taiwan: a population-based cohort study |
topic | 3700 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5908585/ https://www.ncbi.nlm.nih.gov/pubmed/29642154 http://dx.doi.org/10.1097/MD.0000000000010298 |
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