Risk factors and pattern of weight gain in youths using antipsychotic drugs

Antipsychotic-induced weight gain is a major health concern in children and adolescents. The aim of this study was to identify risk factors for weight gain during short-, middle- and long-term treatment with antipsychotic drugs in this young population. We analysed a combined prospective and a retrospective observational cohort of Dutch children and adolescents, starting with risperidone, aripiprazole or pipamperone treatment. Linear mixed models were used to test whether sex, age, baseline body-mass-index (BMI) z score, type of antipsychotic, dose equivalent/kg, duration of use, previous antipsychotic use, ethnicity, physical exercise, IQ, concomitant medication, and psychiatric classification predicted the BMI z score for a follow-up of 52 weeks. A total of 144 patients were included with a median [interquartile range ([IQR)] age of 9 (4) years and median follow-up of 30 (73) weeks. During the complete follow-up, the median (IQR) weight gain was 0.37 (0.95) BMI z score points. Antipsychotic-induced weight gain was found to be most pronounced during the first 15 weeks of use (BMI z score increase per week β = 0.02, 95% CI 0.01–0.03, p = 0.002). A higher baseline BMI z score and the absence of stimulant use were associated with a higher BMI z score during the entire follow-up and after 15 weeks, respectively. Previous treatment with an antipsychotic drug was associated with less weight gain during the first 15 weeks of treatment. Our findings underscore the importance of close patient monitoring during the first weeks of antipsychotic treatment with a focus on patients with a high baseline BMI z score

Is EEG-biofeedback an effective treatment in autism spectrum disorders? A randomized controlled trial

Contains fulltext : 126000.pdf (publisher's version ) (Closed access)EEG-biofeedback has been reported to reduce symptoms of autism spectrum disorders (ASD) in several studies. However, these studies did not control for nonspecific effects of EEG-biofeedback and did not distinguish between participants who succeeded in influencing their own EEG activity and participants who did not. To overcome these methodological shortcomings, this study evaluated the effects of EEG-biofeedback in ASD in a randomized pretest-posttest control group design with blinded active comparator and six months follow-up. Thirty-eight participants were randomly allocated to the EEG-biofeedback, skin conductance (SC)-biofeedback or waiting list group. EEG- and SC-biofeedback sessions were similar and participants were blinded to the type of feedback they received. Assessments pre-treatment, post-treatment, and after 6 months included parent ratings of symptoms of ASD, executive function tasks, and 19-channel EEG recordings. Fifty-four percent of the participants significantly reduced delta and/or theta power during EEG-biofeedback sessions and were identified as EEG-regulators. In these EEG-regulators, no statistically significant reductions of symptoms of ASD were observed, but they showed significant improvement in cognitive flexibility as compared to participants who managed to regulate SC. EEG-biofeedback seems to be an applicable tool to regulate EEG activity and has specific effects on cognitive flexibility, but it did not result in significant reductions in symptoms of ASD. An important finding was that no nonspecific effects of EEG-biofeedback were demonstrated