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Modeling depression in Parkinson disease: disease-specific and nonspecific risk factors.

Identifieur interne : 003B19 ( PubMed/Corpus ); précédent : 003B18; suivant : 003B20

Modeling depression in Parkinson disease: disease-specific and nonspecific risk factors.

Auteurs : Albert F G. Leentjens ; Anja J H. Moonen ; Kathy Dujardin ; Laura Marsh ; Pablo Martinez-Martin ; Irene H. Richard ; Sergio E. Starkstein ; Sebastian Köhler

Source :

RBID : pubmed:23946309

English descriptors

Abstract

To construct a model for depression in Parkinson disease (PD) and to study the relative contribution of PD-specific and nonspecific risk factors to this model.

DOI: 10.1212/WNL.0b013e3182a4a503
PubMed: 23946309

Links to Exploration step

pubmed:23946309

Le document en format XML

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<nlm:affiliation>From the Department of Psychiatry (A.F.G.L., A.J.H.M.), Maastricht University Medical Center, Maastricht; School for Mental Health and Neuroscience (A.F.G.L., A.J.H.M., S.K.), Maastricht University, Maastricht, the Netherlands; Neurology and Movement Disorders Unit (K.D.), Lille University Medical Center, Lille, France; Mental Health Care Line (L.M.), Michael E. DeBakey Veterans Administration Medical Center and Departments of Psychiatry and Neurology, Baylor College of Medicine, Houston, TX; Alzheimer Disease Research Unit and CIBERNED (P.M.-M.), Alzheimer Center Reina Sofia Foundation, Carlos III Institute of Health, Madrid, Spain; Departments of Neurology and Psychiatry (I.H.R.), University of Rochester School of Medicine and Dentistry, Rochester, NY; and School of Psychiatry (S.E.S.), University of Western Australia and Fremantle Hospital, Fremantle, Australia.</nlm:affiliation>
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<nlm:affiliation>From the Department of Psychiatry (A.F.G.L., A.J.H.M.), Maastricht University Medical Center, Maastricht; School for Mental Health and Neuroscience (A.F.G.L., A.J.H.M., S.K.), Maastricht University, Maastricht, the Netherlands; Neurology and Movement Disorders Unit (K.D.), Lille University Medical Center, Lille, France; Mental Health Care Line (L.M.), Michael E. DeBakey Veterans Administration Medical Center and Departments of Psychiatry and Neurology, Baylor College of Medicine, Houston, TX; Alzheimer Disease Research Unit and CIBERNED (P.M.-M.), Alzheimer Center Reina Sofia Foundation, Carlos III Institute of Health, Madrid, Spain; Departments of Neurology and Psychiatry (I.H.R.), University of Rochester School of Medicine and Dentistry, Rochester, NY; and School of Psychiatry (S.E.S.), University of Western Australia and Fremantle Hospital, Fremantle, Australia.</nlm:affiliation>
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<term>Aged</term>
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<term>Depression (etiology)</term>
<term>Depression (psychology)</term>
<term>Female</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Models, Neurological</term>
<term>Neuropsychological Tests</term>
<term>Parkinson Disease (complications)</term>
<term>Parkinson Disease (psychology)</term>
<term>Risk Factors</term>
<term>Severity of Illness Index</term>
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<term>Parkinson Disease</term>
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<term>Depression</term>
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<term>Activities of Daily Living</term>
<term>Depression</term>
<term>Parkinson Disease</term>
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<term>Cross-Sectional Studies</term>
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<term>Humans</term>
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<div type="abstract" xml:lang="en">To construct a model for depression in Parkinson disease (PD) and to study the relative contribution of PD-specific and nonspecific risk factors to this model.</div>
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<Month>11</Month>
<Day>13</Day>
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<Year>2015</Year>
<Month>04</Month>
<Day>23</Day>
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<Issue>12</Issue>
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<Day>17</Day>
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<Title>Neurology</Title>
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<ArticleTitle>Modeling depression in Parkinson disease: disease-specific and nonspecific risk factors.</ArticleTitle>
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<AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">To construct a model for depression in Parkinson disease (PD) and to study the relative contribution of PD-specific and nonspecific risk factors to this model.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">Structural equation modeling of direct and indirect associations of risk factors with the latent depression outcome using a cross-sectional dataset of 342 patients with PD.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">A model with acceptable fit was generated that explained 41% of the variance in depression. In the final model, 3 PD-specific variables (increased disease duration, more severe motor symptoms, the use of levodopa) and 6 nonspecific variables (female sex, history of anxiety and/or depression, family history of depression, worse functioning on activities of daily living, and worse cognitive status) were maintained and significantly associated with depression. Nonspecific risk factors had a 3-times-higher influence in the model than PD-specific risk factors.</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">In this cross-sectional study, we showed that nonspecific factors may be more prominent markers of depression than PD-specific factors. Accordingly, research on depression in PD should focus not only on factors associated with or specific for PD, but should also examine a wider scope of factors including general risk factors for depression, not specific for PD.</AbstractText>
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<ForeName>Albert F G</ForeName>
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<Affiliation>From the Department of Psychiatry (A.F.G.L., A.J.H.M.), Maastricht University Medical Center, Maastricht; School for Mental Health and Neuroscience (A.F.G.L., A.J.H.M., S.K.), Maastricht University, Maastricht, the Netherlands; Neurology and Movement Disorders Unit (K.D.), Lille University Medical Center, Lille, France; Mental Health Care Line (L.M.), Michael E. DeBakey Veterans Administration Medical Center and Departments of Psychiatry and Neurology, Baylor College of Medicine, Houston, TX; Alzheimer Disease Research Unit and CIBERNED (P.M.-M.), Alzheimer Center Reina Sofia Foundation, Carlos III Institute of Health, Madrid, Spain; Departments of Neurology and Psychiatry (I.H.R.), University of Rochester School of Medicine and Dentistry, Rochester, NY; and School of Psychiatry (S.E.S.), University of Western Australia and Fremantle Hospital, Fremantle, Australia.</Affiliation>
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