Body satisfaction and body weight: gender differences and sociodemographic determinants
Bibliographic record
Abstract
BACKGROUND: Given the documented links between body satisfaction, weight-related behaviors, and weight change in adolescents, we sought to examine the prevalence of poor body satisfaction in prepubescent girls and boys and its associations with body weight, socioeconomic factors, and rural residence. METHODS: We obtained data from 4254 girls and boys participating in a population-based survey of grade five students in the province of Nova Scotia, Canada. We examined gender specific associations between the prevalence of poor body satisfaction and body mass index (BMI) with generalized additive models and applied multilevel logistic regression methods to estimate associations of body satisfaction with BMI, rural residence, parental education and income, and neighborhood household income. RESULTS: We observed a linear increase in poor body satisfaction with increasing BMI in girls. Among boys, however, we found a U-shape association where boys with low BMI and those with high BMI reported higher levels of poor body satisfaction. We also found that poor body satisfaction was more prevalent among girls whose parents had lower educational attainment and among those who reside in rural areas. CONCLUSION: Insight into the unique relationships between body satisfaction and BMI experienced by prepubescent children, males, and populations diverse in parental education and geographic location may help to inform public health initiatives designed to improve weight-related behaviors and reduce overweight in children.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".