Impact of cognitive reserve in clinical, neurocognitive and lifestyle factors in chronic schizophrenia and early stages of schizophrenia.

INTRODUCTION: Although there is evidence that higher cognitive reserve (CR) is a protective factor and it has been related to better prognosis, there have been no studies to date that have explored the CR level and its impact in clinical, neurocognitive and lifestyle outcomes according to the stage of the disease: early stage of psychosis (ESP) or chronic schizophrenia (SCZ). MATERIAL AND METHODS: A total of 60 patients in the ESP and 225 patients with SCZ were enrolled in the study. To test the predictive capacity of CR for each diagnostic group, a logistic regression analysis was conducted. Hierarchical linear regression analyses were performed to explore the associations between CR and different outcomes. The mediation analyses were performed according to the principles of Baron and Kenny. RESULTS: Patients with SCZ showed lower CR than those in the ESP (p<0.001). CR correctly classified 79.6% of the cases (p<0.001; Exp(B)=1.062). In ESP group, CR was related to working memory (p=0.030) and negative symptoms (p=0.027). CR (t=3.925, p<0.001) and cannabis use (t=2.023, p=0.048) explained 26.7% of the variance on functioning (p=0.003). In patients with SCZ, CR predicted all cognitive domains, negative symptoms (R2=0.091, p=0.001) and functioning (R2=0.074, p=0.005). In both ESP and SCZ groups, higher CR was associated with lower body mass index and circumference. In ESP group, the effect of adherence to Mediterranean diet on functioning (p=0.037) was mediated by CR level (p=0.003). CONCLUSIONS: The implications of CR depend on the stage of the disease (ESP vs. SCZ), with a greater effect on neurocognition and negative symptoms in patients with chronic SCZ.

Decision-making and impulsivity in eating disorder patients.

Impairment in decision-making can be related to some pathological behaviors in eating disorders. This ability was assessed in 71 eating disorder patients (27 restricting type patients and 44 binge/purging type patients) and compared with 38 healthy controls using the Iowa Gambling Task. This task simulates real-life decision-making by assessing the ability to sacrifice immediate rewards in favor of long term gains. Furthermore, some studies have demonstrated a relationship between impulsivity and decision-making, so in our study the Barratt Impulsiveness Scale was also used. Eating disorder patients, both the restricting and the binge/purging groups, performed poorly in the Iowa Gambling Task compared to controls, confirming a deficit in decision-making in these patients. The restricting group showed poorer IGT performance than the binge/purging group. Interestingly, impulsivity was negatively correlated with decision-making, but only in the binge/purging group. In conclusion, our results confirm a specific deficit in eating disorder patients which may be related to their pathological eating behavior, and suggest that this impairment might be explained by different mechanisms in restricting and binge/purging disorders.