Well-being, gender, and psychological health in school-aged children
Bibliographic record
Abstract
BACKGROUND: Despite being a well-documented phenomenon, gender differences in psychological health complaints in adolescence are poorly understood. The purpose of this study was to test factors related to well-being as explanatory factors of gender differences in psychological complaints (feeling low, irritability or bad temper, nervousness, and sleeping difficulties) in adolescence. METHODS: This study was based on the 9(th) Health Behaviour in School-aged Children (HBSC) study, conducted in 2010 in the Wallonia-Brussels Federation, Belgium, on 9-24 year olds. Using logistic regression analyses, we studied gender differences in psychological complaints through well-being factors (life satisfaction, self-confidence, helplessness, and body image), across age categories, and examined the variation of female excess after taking into account each factor. RESULTS: The four well-being factors together explained more than half of the female excess in feeling low. However, there were still significant gender differences in feeling low for children over 13. Among 13 to 15-year-olds, there were no gender differences in irritability after adjustment. An important decrease in gender differences in nervousness was observed in the multivariate analyses, although there was still significant female excess in nervousness increasing from 13 years old. After full adjustment, only gender differences in sleeping difficulties among 13-15-year-olds remained significant. For all psychological complaints studied, self-confidence caused the most important decrease in gender difference. CONCLUSIONS: This study showed that factors related to well-being could mediate the association between gender and psychological complaints, and pointed to the importance of taking into account well-being factors in the analyses of the aetiology of gender differences in psychological complaints. However, our results suggested that future research should explore additional explanations for gender differences in psychological complaints.
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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 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".