Evidence map›Paper›PMID 40624249›Full record

Observational studyScientific reports2025

Four methods to identify sensitive periods of infant weight gain associated with adolescent BMI in a Chinese birth cohort.

Jiayu Shan, Huilan Feng, Xinyi Li, Shaoru Li, Yingze Zhu, Liang Wang, Yue Cheng, Lingxia Zeng, Zhonghai Zhu

Abstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

9 authors.

Jiayu ShanDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, No.76, Yanta West Road, Xi'an, 710061, Shaanxi, P.R. China.
Huilan FengDepartment of Child Health Care, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, 710004, Shaanxi, China.
Xinyi LiDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, No.76, Yanta West Road, Xi'an, 710061, Shaanxi, P.R. China.
Shaoru LiExperimental Teaching Center, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, P.R. China.
Yingze ZhuDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, No.76, Yanta West Road, Xi'an, 710061, Shaanxi, P.R. China.
Liang WangDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, No.76, Yanta West Road, Xi'an, 710061, Shaanxi, P.R. China.
Yue ChengDepartment of Nutrition and Food Safety Research, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, P.R. China.
Lingxia ZengDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, No.76, Yanta West Road, Xi'an, 710061, Shaanxi, P.R. China. tjzlx@mail.xjtu.edu.cn.
Zhonghai ZhuDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, No.76, Yanta West Road, Xi'an, 710061, Shaanxi, P.R. China. zhuzhonghai@hotmail.com.

Funding

China Postdoctoral Science Foundation 2021M702578Fundamental Research Funds for the Central Universities xxj032025066General Projects of the Key Research and Development Program of Shaanxi Province 2024SF-YBXM-310National Natural Science Foundation of China 82103867Shaanxi Provincial Innovation Capability Support Plan 2023-CX-PT-47
6 · The paper itself

Abstract

Infant weight gain is strongly linked to a higher risk of childhood and adolescent obesity. However, limited growth assessments and inconsistent weight gain measures hinder the identification of sensitive early-life periods. This study aims to use various methods to quantify weight gain across different periods during the first two years of life and further identify sensitive periods of infant growth. We conducted a prospective birth cohort in rural western China. Infant weight was collected at birth, 1, 3, 6, 9, 12, 18, 24 months of age and early adolescence. We used four methods to quantify weight gain across four periods (0-6, 6-12, 12-18, and 12-24 months of age): weight gain velocity z-score (WGV-Z), change in weight-for- age and sex z-score (CWAZ), conditional weight standardized residuals (CWR), and area under the growth prediction curve of each individual (AUC). Generalized estimating equation was used to examine the associations between infant weight gain and adolescent zBMI, underweight and overweight/obesity. Among 1388 infants enrolled, 735 adolescents (61.0% male) were assessed, with a mean age of 11.74 (SD,0.49) years old. The results of the AUC method indicate that the period from birth to 6 months of age is a sensitive period for infant weight gain. A higher AUC during birth to 6 months of age is associated with a higher adolescent zBMI (beta = 0.152, 95%CI 0.119, 0.186), an increased risk of overweight/obese (OR = 1.159, 95%CI 1.066, 1.261) and a decreased risk of underweight (OR = 0.653,95% CI 0.571, 0.747). Additionally, the AUC method showed the highest predictive power, although the observed difference did not reach statistical significance. AUC method based on multiple anthropometric measurements is able to quantify weight gain and consequently identify a sensitive period that has long-lasting influences on life-course health outcomes.

Indexed as

Body Mass IndexPediatric ObesityWeight GainAdolescentBirth CohortChildChild, PreschoolChinaFemaleHumansInfantInfant, NewbornMaleProspective StudiesBirth cohortBMIEarly adolescenceInfancy and young childhoodObesityOverweightSensitive periodUnderweightWeight gain

Identifiers

PMID40624249
PMCPMC12234756

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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 Socratic graph.