Are children and adolescents with psychiatric illness at risk for increased future body weight? A systematic review
Bibliographic record
Abstract
The aim of this paper was to review the longitudinal relationship between early-onset depression and disruptive behaviour and adult body weight. A systematic review of prospective longitudinal studies was conducted of articles in which (1) initial assessment occurred during childhood or adolescence (<18 y); and (2) the primary outcome reported as body mass index (BMI), overweight (BMI>25-<30 kg/m(2)), obesity (BMI ≥ 30 kg/m(2)), or depression; and (3) validated assessment measures for assessment of depressive symptoms or disruptive behaviour problems were employed. A total number of 16 articles were identified for review. Obese adolescent females are more likely to develop depressive illness in adulthood than their non-obese peers. Conversely, depressed adolescent females, and possibly males, are more likely to become overweight adults than non-depressed adolescents. There are insufficient data addressing future depression risk among overweight, non-obese, adolescents to evaluate the potentially interactive nature of this relationship. Studies to date are consistent in reporting that children with behaviour problems are at increased risk of future overweight, though whether this risk is conferred by conduct symptoms, ADHD symptoms, or both, is less clear. Care providers of children with disruptive behaviour problems and depressed adolescents should monitor weight gain. Among obese adolescent females, mood should be followed.
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".