Associations between adolescent nutrition behaviours and adolescent and parent characteristics
Bibliographic record
Abstract
Abstract Aim: This study examined adolescent nutrition behaviours and associations with a range of adolescent and parent characteristics to underpin the development of key objectives for focus in the development of school‐based interventions for the prevention of adolescent overweight/obesity. Methods: Three hundred and sixty‐two adolescents from six secondary schools completed questionnaires regarding their nutrition behaviours, physical activity and sedentary activities, and 349 parents completed questionnaires to report their height and body weight, nutrition behaviours, physical activity, and values of adolescent obesity‐related behaviours. Adolescent height and body weight were objectively measured for calculation of body mass index. Logistic regression (P < 0.05) and Pearson chi‐square analyses of 295 matched adolescent and parent questionnaires were conducted to examine associations. Results: Adolescent healthy nutrition behaviours were negatively associated with time spent in small screen recreation (odds ratio 0.48, P= 0.02) and positively associated with time spent in sedentary education (odds ratio 2.44, P= 0.004) and physical activity (odds ratio 2.53, P= 0.03). Gender differences were found. No associations were found between adolescent healthy nutrition behaviours and adolescent body mass index, parent body mass index, parent nutrition behaviours or parent values of adolescent health behaviours. Conclusions: Interventions to promote adolescent healthy nutrition behaviours should be gender‐specific and include action around a range of obesity‐related health behaviours including physical activity and time spent in small screen recreation.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".