Physical Activity by Accelerometry is Prospectively Associated With Lower Testosterone and Hirsutism Score Among Adolescent Girls
Bibliographic record
Abstract
PURPOSE: Physical activity (PA) is recommended for the management of women with polycystic ovary syndrome (PCOS). However, it is not known whether PA modulates the risk of components of PCOS diagnostic criteria during adolescence. METHODS: We included participants from the Avon Longitudinal Study of Parents and Children prospective cohort with objective measurement of PA and sedentary behavior using accelerometry between ages 11 and 15 years, biochemical and clinical measures of hyperandrogenism (serum total testosterone level at 15 years and self-reported hirsutism at 19 years), and self-reported menstrual regularity at 17 years. Two-stage regression models evaluated the association of repeated measures of PA and sedentary behavior with components of PCOS diagnostic criteria. RESULTS: Among 1,526 singleton girls with accelerometer data and testosterone samples, time spent in light PA was inversely associated with total testosterone (ß = -0.070, 95% CI -0.114, -0.025; nmol/L, per 60 minutes) and continuous hirsutism score (ß = -0.756, 95% CI -1.41, -0.103; per 60 minutes). Conversely, time spent sedentary was associated with higher total testosterone level (ß = 0.052, 95% CI 0.013, 0.090; per 60 minutes) and hirsutism score (ß = 0.668, 95% CI 0.103, 1.23; per 60 minutes). Associations were independent of adiposity, but results for hirsutism were attenuated following adjustment for age at menarche and after stratification by hormonal contraceptive use. No associations were observed with menstrual irregularity, for other PA intensity components, or among users of hormonal contraceptives. DISCUSSION: More time spent in light intensity physical activity and less time spent sedentary during early adolescence is associated with lower testosterone concentrations and lower hirsutism scores in late adolescence.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".