Evidence map›Paper›PMID 37697362›Full record

ArticleBMC pediatrics2023

Analysis of risk factors of precocious puberty in children.

Yan Dong, Lili Dai, Yang Dong, Na Wang, Jing Zhang, Chao Liu, Zhifang Li, Limin Chu, Sisi Chen

Erratum issuedAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. [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 · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Yan Dong *Department of Pediatrics, The First Hospital of Hebei Medical University, No. 89 Donggang Road, Yuhua District, Shijiazhuang, 050000, Hebei, China.
Lili Dai *Department of Laboratory Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, China.
Yang DongDepartment of Laboratory Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, China.
Na WangDepartment of Pediatrics, The First Hospital of Hebei Medical University, No. 89 Donggang Road, Yuhua District, Shijiazhuang, 050000, Hebei, China.
Jing ZhangDepartment of Pediatrics, The First Hospital of Hebei Medical University, No. 89 Donggang Road, Yuhua District, Shijiazhuang, 050000, Hebei, China.
Chao LiuDepartment of Laboratory Medicine, The Third Hospital of Shijiazhuang, Shijiazhuang, China.
Zhifang LiDepartment of Pediatrics, The First Hospital of Hebei Medical University, No. 89 Donggang Road, Yuhua District, Shijiazhuang, 050000, Hebei, China.
Limin ChuDepartment of Pediatrics, The First Hospital of Hebei Medical University, No. 89 Donggang Road, Yuhua District, Shijiazhuang, 050000, Hebei, China.
Sisi ChenDepartment of Pediatrics, The First Hospital of Hebei Medical University, No. 89 Donggang Road, Yuhua District, Shijiazhuang, 050000, Hebei, China. chenss09@21cn.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

LeptinPuberty, PrecociousChildDietary SupplementsFemaleFollicle Stimulating HormoneHumansRisk FactorsFollicle Stimulating HormoneLeptinChildrenPrecocious pubertyRisk factors

Identifiers

PMID37697362
PMCPMC10494349

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.