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Introduction: According to the self‐medication hypothesis, worriers use substances to cope with their symptoms; however, some published results have challenged this hypothesis. The aim of this study is to show if worry increases the risk of SUD when it is negatively appraised by negative metacognitive beliefs. Method: We recruited three samples: 68 patients with a severe AUD, 27 patients dependent on eating and 42 control participants. We used the Yale Food Addiction Scale‐2, the Metacognitions Questionnaire‐65, the UPPS‐P Impulsive Behaviour Scale and the Anxiety Thoughts Inventory. Results: We confirmed a direct effect of worries and metaworry on alcohol (AUD) and eating addiction (EA), but our multivariate analyses revealed that metacognitive beliefs and metaworry are the most robust predictors of alcohol and eating addiction. Discussion: We reported substance‐related differences in the relationship between worry and addiction. AUD is related to the metacognitive activity set in motion by worries while EA is associated with a maladaptive form of worry (meta‐worry) where worries are negatively interpreted. [ABSTRACT FROM AUTHOR]

Background: The Montreal Cognitive Assessment (MoCA) score is a convenient and promising tool for estimating alcoholic patients’ global cognitive functioning, a major challenge for all specialized alcohol treatment centers. However, whether or not the score should be corrected for education level and whether the proposed cutoff is relevant in patients with alcohol use disorders (AUD) should be determined. Methods: We compared the MoCA scores in patients hospitalized for AUD with and without cognitive impairment assessed by a battery of neuropsychological (NP) tests. Sensitivity, specificity, and cutoff of the MoCA score were analyzed using receiver operating characteristic curve analysis. Results: Thirty‐one patients with and 25 without cognitive impairment were included in the study. There were 40 men and 16 women, with a mean age of 49.5 years. The mean uncorrected MoCA score was 23.1 ± 3.3 in those with and 27.0 ± 1.9 in those without cognitive impairment. NP tests were significantly correlated with the MoCA score. Uncorrected MoCA scores identified more than 80% of the patients with a cutoff score equal to 26, to obtain similar accuracy with the corrected score required using a cutoff score equal to 27. Conclusions: Our results confirm that the MoCA test is a convenient and reliable screening tool to measure cognition defects in alcoholic patients. As using the 1‐point education adjustment increases the cutoff score by 1 point, it is suggested to use the noncorrected score and the usual cutoff, that is, 26. Being easy to administer and only moderately time‐consuming, the MoCA score should be used extensively in addiction treatment centers. [ABSTRACT FROM AUTHOR]

Introduction: This study explores the effect of age on mean-levels of the personality traits defined in Cloninger's personality taxonomy, and investigates the relevance of personality traits for predicting depression levels in adults aged 18 to 94 years. Method: We divided our sample (466 participants) into four age groups (young adult, adult, mature adult and elderly). Personality was measured using the Temperament and Character Inventory, and depression was assessed using the Hospital Anxiety and Depression Scale. Results: Analysis of variance showed mean-level changes for all the personality traits except Self-D. Post hoc analyses revealed a decrease in the level of novelty seeking with age and an increase in the level of self-transcendence for the two oldest age groups. Reward dependence was highest among the youngest participants, whereas harm avoidance was highest for both the youngest and the oldest age groups. Depression correlated positively with harm avoidance and age but negatively with self-transcendence. Discussion: Impulsiveness, curiosity and social dependency decrease with age, whereas spirituality increases. Young and elderly adults are more fearful and socially inhibited. Harm avoidance and self-transcendence are the most relevant personality traits for predicting levels of depression. Copyright © 2008 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]