Evidence map›Paper›PMID 35523866›Full record

ArticleEuropean journal of clinical nutrition2022

Prepubertal BMI, pubertal growth patterns, and long-term BMI: Results from a longitudinal analysis in Chinese children and adolescents from 2005 to 2016.

Yanhui Li, Di Gao, Jieyu Liu, Zhaogeng Yang, Bo Wen, Li Chen, Manman Chen, Ying Ma, Tao Ma, Bin Dong and 4 more

Abstract read
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In one paragraph

Article in European journal of clinical nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

8 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 1 institution in 1 country.

Yanhui Li *Institute of Child and Adolescent Health, School of Public Health, Peking University, 100191, Beijing, China.
Di Gao *Institute of Child and Adolescent Health, School of Public Health, Peking University, 100191, Beijing, China.
Jieyu Liu *Institute of Child and Adolescent Health, School of Public Health, Peking University, 100191, Beijing, China.ORCID 0000-0001-6584-1191
Zhaogeng YangInstitute of Child and Adolescent Health, School of Public Health, Peking University, 100191, Beijing, China.
Bo WenInstitute of Child and Adolescent Health, School of Public Health, Peking University, 100191, Beijing, China.
Li ChenInstitute of Child and Adolescent Health, School of Public Health, Peking University, 100191, Beijing, China.
Manman ChenInstitute of Child and Adolescent Health, School of Public Health, Peking University, 100191, Beijing, China.
Ying MaInstitute of Child and Adolescent Health, School of Public Health, Peking University, 100191, Beijing, China.
Tao MaInstitute of Child and Adolescent Health, School of Public Health, Peking University, 100191, Beijing, China.
Bin DongInstitute of Child and Adolescent Health, School of Public Health, Peking University, 100191, Beijing, China.
Yi SongInstitute of Child and Adolescent Health, School of Public Health, Peking University, 100191, Beijing, China.
Sizhe HuangZhongshan Health Care Centers for Primary and Secondary School, 528403, Zhongshan, China.
Yanhui DongInstitute of Child and Adolescent Health, School of Public Health, Peking University, 100191, Beijing, China. dongyanhui@bjmu.edu.cn.ORCID 0000-0003-2519-3200
Jun MaInstitute of Child and Adolescent Health, School of Public Health, Peking University, 100191, Beijing, China. majunt@bjmu.edu.cn.ORCID 0000-0003-3529-1808
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the effects of prepubertal BMI on pubertal growth patterns, and the influence of prepubertal BMI and pubertal growth patterns on long-term BMI among Chinese children and adolescents.

methodsA total of 9606 individuals aged between 7 and 18 years from longitudinal surveys in Zhongshan city of China from 2005 to 2016 were enrolled. Age at peak height velocity (APHV) and peak height velocity (PHV) were estimated using Super-Imposition by Translation and Rotation (SITAR) model. Associations between prepubertal BMI, APHV, PHV, and long-term overweight and obesity were assessed by linear regression and multinominal logistic regression. Scatter plots were elaborated to show the associations between prepubertal BMI and pubertal growth patterns according to prepubertal BMI categories.

resultsPrepubertal BMI Z-Score was positively correlated with long-term BMI Z-Score, and negatively correlated with APHV in both sexes. In addition, there was a negative association between prepubertal BMI Z-Score and PHV in boys. With 1-year decrease in APHV, risk of long-term underweight decreased by 92%, while overweight increased by 33% in boys. Corresponding risk of long-term underweight and overweight for girls decreased by 42% and increased by 20%, respectively.

conclusionHigh prepubertal BMI levels were associated with earlier APHV and lower PHV, and the early onset of pubertal development could increase the risks of long-term overweight and obesity at 17-18 years of age both in boys and girls. Such evidence emphasized the importance of reducing prepubertal obesity risks combined with appropriate pubertal development timing, including later APHV and higher PHV, so as to prevent the obesity and related cardiovascular diseases in adulthood.

Indexed as

OverweightPubertyAdolescentAdultBody HeightBody Mass IndexChildChinaFemaleHumansLongitudinal StudiesMaleObesityThinness

Identifiers

PMID35523866
OpenAlexW4229081345

What OpenQuestion holds

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Read underepoch 390

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.