Child and Adolescent Psychopathology Predicts Increased Adult Body Mass Index
Bibliographic record
Abstract
OBJECTIVE: To examine the relationship between childhood and adolescent symptoms of (1) depression, (2) attention-deficit hyperactivity disorder (ADHD), and (3) conduct disorder (CD) with adult body mass index (BMI) in a prospective longitudinal study of 3294 community participants in the Ontario Child Health Survey. METHODS: One thousand nine hundred ninety-two children aged 4 to 11 years and 1302 adolescents aged 12 to 16 years at study entry in 1983 underwent follow-up in 2000. Body mass index data were available for 1886 adult participants in the year 2000, which comprised the final study sample. Data were collected from youth, parents, and teachers using a combination of parental, youth, and teacher self-report and semistructured interview. Body mass index is a derived variable determined from the self-reported height and weight in 2000. RESULTS: Adults with depression, ADHD, or CD identified in childhood had increased body weight (BMI = 27.2 kg/m, 27.7 kg/m, and 27.9 kg/m, respectively) compared with their nonaffected peers (BMI = 24.8 kg/m; p < .001). Greater depressive symptoms in childhood were associated with increased adult BMI among boys (p = .02). Among adolescents, depression and sex interact in the association with adult BMI (p = .01). The association of childhood ADHD with adult overweight was completely accounted for by the effect of comorbid child conduct disturbance (p < .001) for both girls and boys. Greater conduct symptoms were associated with increased adult BMI (p = .04) among adolescent girls. CONCLUSION: This epidemiologic study suggests that psychopathology in childhood is associated with increased adult BMI. Early identification of psychiatric illness may present key opportunities for targeted prevention of obesity.
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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) | 0.000 | 0.000 |
| 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) | 0.002 | 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".