Management of Antipsychotic-Induced Weight Gain: Prospective Naturalistic Study of the Effectiveness of a Supervised Exercise Programme
Bibliographic record
Abstract
OBJECTIVE: To determine the potential effectiveness of a behavioural weight control programme including physical exercise in the prevention of antipsychotic-induced weight gain and associated comorbid conditions in outpatients with schizophrenia and mood disorders. METHODS: A prospective, comparative, open and naturalistic study was carried out for a total of 110 patients with schizophrenia, schizoaffective or bipolar disorders (DSM-IV), on treatment with atypical antipsychotics. Of these, 59 patients participated in an 18 month weight control programme that included an educational activity about dietary and physical activity counselling as well as a structured, supervised, facility-based exercise programme. The control group consisted of 51 patients with the same baseline characteristics who did not receive the clinical programme. Anthropometric measurements, plasma lipid-lipoprotein profile, and fasting plasma glucose concentrations were assessed at 11 time-points over the study. In addition, serum concentrations of prolactin, thyrotropin-stimulating hormone (TSH), and glycated haemoglobin (HbA1c) were assessed at four time-points. Finally, the Clinical Global Impression scale (CGI), the Brief Psychiatric Rating Scale (BPRS) and the Short Form (SF)-36 Health Survey were used. RESULTS: The adherence rate of patients was 85%, both in the active and in the control group. Whereas the control group experienced a significant increase in bodyweight (4.1%), body mass index (BMI; 5.5%) and waist circumference (WC; 4.2%), the active group significantly reduced their bodyweight (-3.5%), BMI (-4.4%), and WC (-4.6%) at the study end-point. In addition, a significant increase in low-density lipoprotein (LDL)-cholesterol (14.8%) and in triglyceride concentrations (12.3%) was observed at month 18 in the control group. In contrast, high-density lipoprotein-cholesterol (HDL) significantly increased (21.4%), and LDL cholesterol (-13.7%), triglycerides (-26.2%), total cholesterol (-12.1%), fasting glucose concentrations (-12.0%), and HbA1c (-11.4%) significantly decreased compared to baseline in the active group. No significant changes were observed regarding serum concentrations of prolactin and TSH during the study. In regard to the changes observed in psychological measures, no between-group differences were seen in the clinical ratings of CGI and BPRS. However, the SF-36 showed that physical health was improved only for subjects in the active group at months 12 and 18 compared to baseline (p<0.05), and mental health was significantly improved for both groups at months 12 and 18 compared to baseline. CONCLUSION: Bodyweight and metabolic risk profile in patients receiving atypical antipsychotic medications can be effectively managed with a weight control programme including physical activity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".