6 research outputs found

    Troubles émotionnels et perturbation du raisonnement déductif

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    AIX-MARSEILLE1-BU Lettres (130012101) / SudocSudocFranceF

    Tobacco status, impulsivity, and the five-factor of the PANSS in paranoid schizophrenia

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    International audienceThere is consistent evidence that impulsivity is linked to tobacco consumption and to symptomatology in schizophrenia. In the current study, we propose a new integrative model of the relationship between impulsivity, psychopathological symptoms, and tobacco status in patients with paranoid schizophrenia. We investigated 33 paranoid schizophrenia patients and 37 healthy controls using a battery of psychopathological scales included the Structured Clinical Interview forDSM-IV(SCID), the five-factor model of the Positive and Negative Symptom Scale (PANSS), the Barratt Impulsiveness Scale (BIS-10), and the UPPS Impulsive Behavior scale (UPPS). Step-wise regression analysis revealed that positive factor of the PANSS and tobacco status contributed positively and significantly to the explained variance of impulsivity. In addition, non-planning impulsivity and sensation-seeking emerged as significant predictors of tobacco status, while smoking predicted non-planning impulsivity and sensation-seeking. Our results suggest that the relationship between sensation-seeking and tobacco use is reciprocal and proposes a new integrative model of the relationship between impulsivity, positive symptoms and tobacco status in patients with paranoid schizophrenia. However, the exact mechanisms for these relationships deserve further investigation

    Adherence to medication is associated with non-planning impulsivity in euthymic bipolar disorder patients

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    International audienceBackground: Adherence to medication is a major issue in bipolar disorder. defined as a lack of future orientation, has been demonstrated to be the main impulsivity domain altered during euthymia in bipolar disorder patients. It was associated with comorbidities. Methods: To investigate relationship between adherence to medication and non-planning impulsivity, we included 260 euthymic bipolar patients. Adherence to medication was evaluated by Medication Adherence Rating Scale and non-planning impulsivity by Barrat Impulsiveness Scale. Univariate analyses and linear regression were used. We conducted also a path analysis to examine whether non-planning impulsivity had direct or indirect effect on adherence, mediated by comorbidities. Results: Adherence to medication was correlated with non-planning impulsivity, even after controlling for potential confounding factors in linear regression analysis (Beta standardized coefficientÂĽ 0.156; pÂĽ 0.015). Path analysis demonstrated only a direct effect of non-planning impulsivity on adherence to medication, and none indirect effect via substance use disorders and anxiety disorders. Limitations: Our study is limited by its cross-sectional design and adherence to medication was assessed only by self-questionnaire

    Trajectories of medication adherence in patients with Bipolar Disorder along 2 years-follow-up

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    Background: Bipolar disorder (BD) is a chronic and severe mental illness. It requires a non-discontinued pharmacological treatment to prevent mood recurrences but nonadherence to medication is frequent. To this date, medication adherence in BD has been mostly evaluated in cross-sectional studies and often considered as a stable trait. We aimed to study medication adherence using a prospective person-oriented approach. Methods: 1627 BD patients were followed on a 2 years period and assessed every 6 months. Medication adherence was evaluated at each visit with the Medication Adherence Rating Scale (MARS). A latent class mixed model (LCMM) was used to identify trajectory classes of adherence over time. Regression analyses and linear mixed model were used to search for predictors and covariables of the trajectories. Results: Three distinct and robust trajectories of medication adherence have been identified: one that starts poorly and keeps deteriorating (4.8%), one that starts poorly but improves (9%) and one that starts well and keeps improving (86.2%). A good tolerance to psychotropic medications, low depressive symptoms, the absence of comorbid eating disorders and anticonvulsant medication were associated to a better prognosis of adherence. Along the follow-up, the lower were the depressive symptoms, the better was the medication adherence (p <.001) Limitations: The use of a single measure of medication adherence although it is a validated instrument and a possible positive selection bias that might limit the generalization of our findings. Conclusions: This study demonstrates that medication adherence in BD patients is a heterogeneous and potentially variable phenomenon.Sorbonne Universités à Paris pour l'Enseignement et la RechercheFondaMental-Cohorte

    Clinical predictors of recurrences in bipolar disorders type 1 and 2: A FACE-BD longitudinal study

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    Objective: To examine which characteristics predict the time to a first mood recurrence at three years in Bipolar Disorder type I (BD-I) and type II (BD-II). Methods: Individuals with BD were followed up to 3 years. Turbull's extension of the Kaplan-Meier analysis for interval-censored data was used to estimate the cumulative probability of recurrence over time. Separate models were performed according to BD subtype to determine which baseline factors were predictive of recurrences and were adjusted for age, gender and educational level. Results: We included 630 individuals with BD-I and 505 with BD-II. The first recurrence of any polarity occurred earlier in BD-II (p = 0.03). The first depressive recurrence occurred earlier in BD-II (p < 0.0001), whereas the first (hypo)manic recurrence occurred earlier in BD-I (p = 0.0003). In BD-I, the clinical variables that were associated to the time to a first mood recurrence were depressive symptoms, lifetime rapid cycling, global activation and the number of psychotropic medications at baseline. In BD-II, the time to a first recurrence was associated with a younger age at onset of BD and a higher number of lifetime mood episodes. The Areas Under the Curve for both models were moderate. Conclusion: Predictors of recurrences showed few specificities to BD-I or BD-II. The ability to predict recurrences in BD based on socio-demographic and clinical variables remained too moderate for a transfer in daily practice. This study highlights the need for further studies that would include other types of predictors, such as molecular, cognitive or neuro-imaging ones, to achieve an accurate level of prediction of recurrences in BD.Sorbonne Universités à Paris pour l'Enseignement et la RechercheFondaMental-Cohorte
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