Early physical maturation and subjective health complaints in adolescent girls: a pooled cross-sectional analysis
Bibliographic record
Abstract
BACKGROUND: Although adolescents are generally healthy, subjective health complaints (SHC) are common in this age group, especially in adolescent girls. We explored the association between early menarche and the frequency of psychosomatic symptoms and how this association varies between countries. METHODS: Our sample included 298 000 adolescent girls from 2002, 2006, 2010 and 2014 cycles of the Health Behaviour in School-aged Children (HBSC) study in 41 European and North American countries. School surveys measured the frequency of eight psychosomatic symptoms in the past 6 months. Early maturation was defined as self-reported age at menarche below 11 years. Using logistic regression, we estimated adjusted ORs (aORs) and 95% CIsof experiencing each psychosomatic symptom at least more than once a week and experiencing two or more symptoms at least more than once a week. RESULTS: Early menarche occurred in 4.73% of the sample and was positively related to headache, stomachache, backache, feeling low, irritability or bad temper, feeling nervous, difficulties in sleeping, feeling dizzy and two or more of these symptoms, respectively (all p values<0.001). The interactions between early menarche and survey circle were non-significant. Changing the age criterion to 12 years did not affect the results. The associations between early menarche and psychosomatic symptoms were robust across the HBSC-participating counties with two age criteria. CONCLUSIONS: Early menarche positively relates to various psychosomatic symptoms in European and North American adolescent girls. Our findings suggest that early-maturing girls may need early supportive interventions.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".