Risperidone But Not Quetiapine Treatment Is Associated With Increased Appetite But Not Satiety Hormones in Children During An Oral Glucose Tolerance Test
Bibliographic record
Abstract
BACKGROUND: Second-generation antipsychotics (SGAs) are commonly used to treat children with mental health conditions (MHCs) but are associated with adverse effects including obesity, hypertension, dyslipidemia, and type 2 diabetes. The mechanisms underlying these complications are unknown, but it has been suggested that SGAs increase appetite leading to weight gain. The present objective was to perform a pilot study to investigate appetite and satiety hormones in SGA-treated (risperidone or quetiapine) and SGA-naive children with similar mental health conditions. METHODS: Oral glucose tolerance tests (OGTTs) were conducted in SGA-naive (n = 18), risperidone-treated (n = 20), and quetiapine-treated (n = 16) children recruited from the British Columbia Children's Hospital Psychiatry Department. Over 5 time-points during the OGTT, appetite questionnaires using a visual analogue scale were administered, and blood was collected to measure ghrelin, peptide YY, glucose-dependent insulinotropic polypeptide, glucagon-like protein 1, leptin, and adiponectin. Mixed model analyses were conducted to examine between-group differences. RESULTS: The children were similar in age, psychiatric diagnosis, and global assessment of functioning scores. Body mass index z-scores were also similar between groups. Appetite was increased during the OGTT in the risperidone-treated compared with the SGA-naive group for 2 questions ("How strong is your desire to eat"; P = 0.003 and "How much food do you think you can eat"; P = 0.028). No differences in satiety hormones were observed between the 3 groups. CONCLUSIONS: Risperidone treatment in youth is associated with elevated appetite during an OGTT, with no differences in gut peptides or adipocytokines to explain risperidone's effect on appetite. Further research is needed to explore other mediators of weight gain and metabolic dysfunction in SGA-treated youth.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".