Child Overweight, Associated Psychopathology, and Social Functioning: A French School‐based Survey in 6‐ to 11‐year‐old Children
Bibliographic record
Abstract
The aim of this study was to estimate the prevalence of child overweight in a regional sample of primary school-aged children, and to examine the relationships among child overweight, psychopathology, and social functioning. A cross-sectional survey was conducted in 2004 in 100 primary schools of a large French region, with 2,341 children aged 6-11 randomly selected. Child weight and height, lifestyle variables (leisure-time physical activity (LTPA), watching television (TV), playing video games), and socioeconomic characteristics were collected in parent-administered questionnaires. Child psychopathology outcomes were assessed using child- and parent-reported instruments (Dominic Interactive (DI) and Strengths and Difficulties Questionnaire (SDQ)). Overweight and obesity were estimated according to the International Obesity Task Force (IOTF) definition. Response rates to the parent questionnaire and DI were 57.4 and 95.1%, respectively. Final sample size was 1,030 children. According to the IOTF, 17.3% of the children were overweight, of whom 3.3% were obese. In univariate analysis, correlates of overweight were low parental education, low monthly income, Disadvantaged School Areas (DSAs), self-reported generalized anxiety, parent-reported conduct disorders, emotional problems, and peer difficulties. High monthly income was less frequently associated with overweight. In multivariate analysis, parent-reported peer difficulties (odds ratio (OR) = 2.06; 95% confidence interval = 1.27-3.35) and DSAs (1.88; 1.03-3.44) were independent factors significantly associated with child overweight. There was a trend of being overweight with elevated TV times (P for trend = 0.02). The psychosocial burden of excess weight appears to be significant even in young children. Findings should be considered for preventing strategies and public health interventions. School-based overweight prevention programs should be implemented first in disadvantaged areas together with information about weight stigmatization and discrimination.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".