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Risk factors for depression in patients with Parkinson’s disease: A nationwide nested case-control study

OBJECTIVES: Patients with Parkinson’s disease (PD) have higher prevalence of depression than the general population; however, the risk factors for depression in PD remain uncertain. METHODS/DESIGN: Using the 2000–2010 Taiwan National Health Insurance Research Database, we selected 1767 patients aged...

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Autores principales: Chang, Yang-Pei, Lee, Min-Sheng, Wu, Da-Wei, Tsai, Jui-Hsiu, Ho, Pei-Shan, Lin, Chun-Hung Richard, Chuang, Hung-Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7384643/
https://www.ncbi.nlm.nih.gov/pubmed/32716954
http://dx.doi.org/10.1371/journal.pone.0236443
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author Chang, Yang-Pei
Lee, Min-Sheng
Wu, Da-Wei
Tsai, Jui-Hsiu
Ho, Pei-Shan
Lin, Chun-Hung Richard
Chuang, Hung-Yi
author_facet Chang, Yang-Pei
Lee, Min-Sheng
Wu, Da-Wei
Tsai, Jui-Hsiu
Ho, Pei-Shan
Lin, Chun-Hung Richard
Chuang, Hung-Yi
author_sort Chang, Yang-Pei
collection PubMed
description OBJECTIVES: Patients with Parkinson’s disease (PD) have higher prevalence of depression than the general population; however, the risk factors for depression in PD remain uncertain. METHODS/DESIGN: Using the 2000–2010 Taiwan National Health Insurance Research Database, we selected 1767 patients aged ≧ 40 years with new-onset PD during 2000–2009. Among them, 324 patients with a new incidence of depression were enrolled as cases and 972 patients without depression were randomly selected as controls. The groups were frequency-matched at a ratio of 1:3 by age, sex, and index year. Thus, this nested case-control study compared differences between the cases and the controls. Logistic regression models were used to identify risk factors for depression in PD. RESULTS: Compared with the controls, the odds ratio (OR) of anxiety disorders in the cases was 1.53 (95% confidence interval [95% CI], 1.16–2.02; P = 0.003), after adjusting for the confounding factors of age, sex, index year, geographic region, urban level, monthly income, and other coexisting medical conditions. The OR for sleep disturbances in the cases was 1.49 (95% CI, 1.14–1.96; P = 0.004) compared to the controls, after adjusting these confounding factors. Hence, the risk factors for depression in PD were nonsignificantly associated with physical comorbidities. CONCLUSIONS: In the present study, depression in PD was significantly associated with anxiety disorders and sleep disturbances. Integrated care for early identification and treatment of neuropsychiatric comorbidities is crucial in patients with new-onset PD so as to prevent further PD degeneration.
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spelling pubmed-73846432020-08-05 Risk factors for depression in patients with Parkinson’s disease: A nationwide nested case-control study Chang, Yang-Pei Lee, Min-Sheng Wu, Da-Wei Tsai, Jui-Hsiu Ho, Pei-Shan Lin, Chun-Hung Richard Chuang, Hung-Yi PLoS One Research Article OBJECTIVES: Patients with Parkinson’s disease (PD) have higher prevalence of depression than the general population; however, the risk factors for depression in PD remain uncertain. METHODS/DESIGN: Using the 2000–2010 Taiwan National Health Insurance Research Database, we selected 1767 patients aged ≧ 40 years with new-onset PD during 2000–2009. Among them, 324 patients with a new incidence of depression were enrolled as cases and 972 patients without depression were randomly selected as controls. The groups were frequency-matched at a ratio of 1:3 by age, sex, and index year. Thus, this nested case-control study compared differences between the cases and the controls. Logistic regression models were used to identify risk factors for depression in PD. RESULTS: Compared with the controls, the odds ratio (OR) of anxiety disorders in the cases was 1.53 (95% confidence interval [95% CI], 1.16–2.02; P = 0.003), after adjusting for the confounding factors of age, sex, index year, geographic region, urban level, monthly income, and other coexisting medical conditions. The OR for sleep disturbances in the cases was 1.49 (95% CI, 1.14–1.96; P = 0.004) compared to the controls, after adjusting these confounding factors. Hence, the risk factors for depression in PD were nonsignificantly associated with physical comorbidities. CONCLUSIONS: In the present study, depression in PD was significantly associated with anxiety disorders and sleep disturbances. Integrated care for early identification and treatment of neuropsychiatric comorbidities is crucial in patients with new-onset PD so as to prevent further PD degeneration. Public Library of Science 2020-07-27 /pmc/articles/PMC7384643/ /pubmed/32716954 http://dx.doi.org/10.1371/journal.pone.0236443 Text en © 2020 Chang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chang, Yang-Pei
Lee, Min-Sheng
Wu, Da-Wei
Tsai, Jui-Hsiu
Ho, Pei-Shan
Lin, Chun-Hung Richard
Chuang, Hung-Yi
Risk factors for depression in patients with Parkinson’s disease: A nationwide nested case-control study
title Risk factors for depression in patients with Parkinson’s disease: A nationwide nested case-control study
title_full Risk factors for depression in patients with Parkinson’s disease: A nationwide nested case-control study
title_fullStr Risk factors for depression in patients with Parkinson’s disease: A nationwide nested case-control study
title_full_unstemmed Risk factors for depression in patients with Parkinson’s disease: A nationwide nested case-control study
title_short Risk factors for depression in patients with Parkinson’s disease: A nationwide nested case-control study
title_sort risk factors for depression in patients with parkinson’s disease: a nationwide nested case-control study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7384643/
https://www.ncbi.nlm.nih.gov/pubmed/32716954
http://dx.doi.org/10.1371/journal.pone.0236443
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