Evidence map›Paper›PMID 41761194›Full record

ArticleBMC medicine2026

Sensitive periods of BMI change from childhood to adulthood on subclinical cardiovascular outcomes: a 36-year prospective cohort study.

Hui Yang, Tongshuai Guo, Ziqi Liu, Lili Yang, Yanjie Yang, Jintang Xie, Jie Ren, Mingjun He, Chao Chu, Chao Li and 10 more

Abstract read
In one paragraph

Article in BMC medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

20 authors.

Hui Yang *Department of Cardiology, First Affiliated Hospital of Medical School, Xi'an Jiaotong University, Xi'an, 710061, China.
Tongshuai Guo *Department of Cardiology, First Affiliated Hospital of Medical School, Xi'an Jiaotong University, Xi'an, 710061, China.
Ziqi Liu *State Key Laboratory of Reproductive Medicine and Offspring Health, Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
Lili YangState Key Laboratory of Reproductive Medicine and Offspring Health, Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
Yanjie YangDepartment of Cardiology, First Affiliated Hospital of Medical School, Xi'an Jiaotong University, Xi'an, 710061, China.
Jintang XieState Key Laboratory of Reproductive Medicine and Offspring Health, Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
Jie RenDepartment of Cardiology, First Affiliated Hospital of Medical School, Xi'an Jiaotong University, Xi'an, 710061, China.
Mingjun HeDepartment of Cardiology, First Affiliated Hospital of Medical School, Xi'an Jiaotong University, Xi'an, 710061, China.
Chao ChuDepartment of Cardiology, First Affiliated Hospital of Medical School, Xi'an Jiaotong University, Xi'an, 710061, China.
Chao LiDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University, Xi'an, 710061, China.
Yu YanDepartment of Cardiology, First Affiliated Hospital of Medical School, Xi'an Jiaotong University, Xi'an, 710061, China.
Yue SunDepartment of Cardiology, First Affiliated Hospital of Medical School, Xi'an Jiaotong University, Xi'an, 710061, China.
Dan WangDepartment of Cardiology, First Affiliated Hospital of Medical School, Xi'an Jiaotong University, Xi'an, 710061, China.
Guilin HuDepartment of Cardiology, First Affiliated Hospital of Medical School, Xi'an Jiaotong University, Xi'an, 710061, China.
Mingfei DuDepartment of Cardiology, First Affiliated Hospital of Medical School, Xi'an Jiaotong University, Xi'an, 710061, China.
Hao JiaDepartment of Cardiology, First Affiliated Hospital of Medical School, Xi'an Jiaotong University, Xi'an, 710061, China.
Mingming WangDepartment of Maternal, Child and Adolescent Health, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
Min ZhaoDepartment of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
Bo XiState Key Laboratory of Reproductive Medicine and Offspring Health, Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China. xibo2007@126.com.
Jianjun MuDepartment of Cardiology, First Affiliated Hospital of Medical School, Xi'an Jiaotong University, Xi'an, 710061, China. mujjun@163.com.

Funding

Clinical Research Award of the First Affiliated Hospital of Xi'an Jiaotong University XJTU1AF-CRF-2023-004Distinguished Professor of Changjiang Scholar Awards Program T2023116International Joint Research Center for Cardiovascular Precision Medicine of Shaanxi Province 2020GHJD-14Key Research and Development Program of Shaanxi 2023-ZDLSF-50National Natural Science Foundation of China 82173538, 82070437, 82473653Postdoctoral Fellowship Program of CPSF GZC20231438Shandong Postdoctoral Science Foundation SDBX2023003
6 · The paper itself

Abstract

backgroundThe sensitive period during which the adult cardiovascular system is particularly vulnerable to body mass index (BMI) changes remains unclear. This study aimed to examine how rates of BMI change from childhood to adulthood influence the risk of subclinical cardiovascular outcomes in mid-adulthood.

methodsThis cohort study included 2446 participants from the Hanzhong Adolescent Hypertension Study who had at least two BMI measurements in childhood/adolescence (6-18 years) and at least two in adulthood (≥ 19 years). The BMI growth curve from ages 6 to 52 years was modeled using random-effects mixed models with restricted cubic splines. These models yielded age-specific estimates of BMI levels and rates of change, the latter of which were subsequently residual-adjusted for concurrent BMI levels. Multivariable logistic regression models were used to examine the associations of BMI levels and level-adjusted rates of change from 6 to 52 years with left ventricular hypertrophy (LVH) and arterial stiffness in mid-adulthood.

resultsBMI at each age from 10 to 52 years was associated with mid-adult LVH and arterial stiffness, and these associations became stronger with increasing age at BMI measurement. Additionally, age-level-adjusted rates of BMI change at most ages from childhood to adulthood were positively associated with a higher risk of both subclinical cardiovascular outcomes. However, the odds ratios (ORs) for both LVH and arterial stiffness per 1-SD increase in BMI change rate declined with increasing age. For LVH, the ORs decreased from 2.49 (95% confidence interval (CI): 2.01-3.08) at 6 years to 1.23 (1.01-1.50) at 34 years. Similarly, for arterial stiffness, the ORs decreased from 1.60 (95% CI: 1.41-1.81) at 6 years to 1.13 (1.01-1.27) at 42 years. Of note, from childhood to adolescence, age-level-adjusted rates of BMI change showed stronger associations with LVH and arterial stiffness than contemporaneously measured BMI levels.

conclusionsRapid rates of BMI increase, particularly during childhood/adolescence, are strongly associated with a higher risk of mid-adulthood subclinical cardiovascular outcomes. These findings highlight childhood/adolescence as sensitive periods for the influence of BMI on cardiovascular disease development, emphasizing the need for early prevention and intervention.

Indexed as

Body Mass IndexCardiovascular DiseasesHypertrophy, Left VentricularAdolescentAdultChildFemaleHumansMaleMiddle AgedProspective StudiesRisk FactorsVascular StiffnessYoung AdultAdulthoodArterial stiffnessBody mass indexChildhoodLeft ventricular hypertrophySensitive periodSubclinical cardiovascular outcomes

Identifiers

PMID41761194
PMCPMC13049959

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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.