La maladie de Parkinson en France (serveur d'exploration)

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Modeling depression in Parkinson disease

Identifieur interne : 000D10 ( Main/Merge ); précédent : 000D09; suivant : 000D11

Modeling depression in Parkinson disease

Auteurs : Albert F. G. Leentjens ; Anja J. H. Moonen ; Kathy Dujardin

Source :

RBID : PMC:3795592

English descriptors

Abstract

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.

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.

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.

Conclusion:

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.


Url:
DOI: 10.1212/WNL.0b013e3182a4a503
PubMed: 23946309
PubMed Central: 3795592

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PMC:3795592

Le document en format XML

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<title>Objective:</title>
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<title>Methods:</title>
<p>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.</p>
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<p>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.</p>
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<p>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.</p>
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