Abstract 2317: Historical trends in age of menarche and implications for breast cancer risk in the US population
Notice bibliographique
Résumé
Abstract Background: Breast cancer incidence is increasing, especially among premenopausal women. Age of menarche is a critical marker of female pubertal development and a known risk factor for breast cancer. We, therefore, examined trends in the age of menarche among females born between 1910 and 2000 as well as the differences by race/ethnicity and country of birth. Methods: This serial, cross-sectional study analyzed the age of menarche from the nationally representative National Health and Nutrition Examination Survey (NHANES). Participants included noninstitutionalized US women from ten NHANES study cycles (1999-2000 to 2017-March 2020 pre-pandemic). Age of menarche was assessed as the age of first menstrual period by participants responding to the question “How old when you had your first menstrual period?” (range 0-22 years old). Participants who responded with an age of first menstrual period > 16 years were excluded from the current analysis. The year of birth was categorized into eight birth cohorts from 1910-1930, then every 10-year interval to 1990-2000. We calculated the weighted mean age and standard error of age of menarche overall and by birth cohort, race/ethnicity, and country of birth. We calculated weighted prevalences of the age of menarche by ages ≤ 10, 11, and 12 years, overall, and by birth cohort, race/ethnicity, and country of birth. Results: Data on 24, 391 US women were analyzed. For women born between 1910-1930 to those born between 1990-2000, the mean age of menarche declined from 12.9 (95% CI: 12.8 to 10.3) to 12.4 (95% CI: 12.3 to 12.6) years (difference=0.5, 95% CI: 0.3 to 0.7, p for trend<0.001). The significant decline in age of menarche was observed in women of all racial/ethnic groups (non-Hispanic White: 12.9 [95% CI: 12.8 to 13.0] to 12.6 [95% CI: 12.4 to 12.8], difference=0.3 [95% CI:0.01 to 0.5], non-Hispanic Black: 13.1 [95% CI: 12.8 to 13.3] to 12.2 [95% CI: 11.9 to 12.4], difference=0.9 [95% CI: 0.5 to 1.2]; Hispanic: 13.2 [95% CI: 12.7 to 13.8] to 12.1 [95% CI: 11.9 to 12.3], difference=1.1 [95% CI: 0.5 to 1.7]; Others: 13.0 [95% CI: 12.4 to 13.6] to 12.3 [95% CI: 11.9 to 12.6], difference=0.8 [95% CI: 0.03 to 1.5]). The decline in age of menarche was observed in both US (12.9 [95% CI: 12.8 to 13.0] to 12.4 [95% CI: 12.3 to 12.6]) and non-US born (13.3 [95% CI: 13.0 to 13.7] to 12.4 [95% CI: 12.1 to 12.8]) women. Among women in the 1990-2000 birth cohort, 11.1%, 27.9%, and 53.9% of women attained their age of menarche at ages younger than 10, 11, and 12 years, respectively. Conclusions: Women born in the 1990-2000 birth cohort experienced half a year younger age of menarche compared to those born between 1910-1930, with shaper declines in women of racial/ethnical minorities and those who were non-US born. These shifts suggest a growing proportion of women experiencing menarche earlier, likely contributing to the rising incidence of breast cancer. Citation Format: Lin Yang, Adetunji Torioa. Historical trends in age of menarche and implications for breast cancer risk in the US population [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 2317.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».