ArticleBMC pediatrics2023
Analysis of risk factors of precocious puberty in children.
Article in BMC pediatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Hyperestrogenic imprinting and developmental origins of endometriosis and adenomyosis.Human reproduction open · 2026Article
- Risk factors and preventive strategies for precocious puberty: a narrative review.Frontiers in pediatrics · 2026Review
- The combined diagnostic and therapeutic value of ultrasound and X-ray bone age index in girls with idiopathic central precocious puberty.Endocrine connections · 2025Article
- [Performance of a prompt engineering method for extracting individual risk factors of precocious puberty from electronic medical records].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025Article
- The relationship between menstrual issues and depressive and anxiety symptoms in Chinese adolescent female inpatients: a cross-sectional questionnaire-based investigation.BMC psychology · 2025Article
- Article
- Evaluating Phthalates and Bisphenol in Foods: Risks for Precocious Puberty and Early-Onset Obesity.Nutrients · 2024Review
- Editorial: Effect of overweight/obesity on early puberty and related chronic disease risk factors.Frontiers in endocrinology · 2024Article
- Correction: Analysis of risk factors of precocious puberty in children.BMC pediatrics · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe purpose of this study is to explore the related factors of precocious puberty in children.
methods1239 children who underwent physical examination in our hospital from January 2020 to December 2022 were analyzed, including 198 precocious children and 1041 normal children. According to the age of 198 precocious children and 1041 normal children, 205 normal children were selected, and the remaining 836 normal children were excluded. They were divided into precocious group and normal group. The general data of the two groups were recorded. Logistic regression was used to analyze the influencing factors of precocious puberty in children.
resultsThere were statistically significant differences (P < 0.05) between the two groups in sex, bone age, daily exercise time, E2, FSH, LH, leptin, mother's menarche time, living environment, consumption of nutritional supplements, consumption of foods containing pigments and preservatives, consumption of high-protein foods, and sleeping time. The multifactor logistic regression analysis shows that the risk factors of children's precocious puberty included gender (female), bone age (> 10 years old), and daily exercise time (< 0.9 h), E2 (≥ 66.00pmol/L), FSH (≥ 6.00U/L), LH (≥ 3.50U/L), leptin (≥ 8.00 µ G/L), mother's menarche time (< 12 years old), living environment (chemical industry zone), consumption of nutritional supplements (often), consumption of high-protein food (often), and sleep time (< 10 h).
conclusionIn conclusion, children's gender, bone age, exercise habits, E2, FSH, LH, leptin, mother's menarche time, living environment, eating habits, sleep time and other factors are closely related to precocious puberty in children. Reminding parents to actively prevent related factors in clinical work is helpful to prevent the occurrence of precocious puberty in children.
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