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Body Mass Index Trajectories in Early Life Is Predictive of Cardiometabolic Risk

  • Yue Yuan
  • , Chao Chu
  • , Wen Ling Zheng
  • , Qiong Ma
  • , Jia Wen Hu
  • , Yang Wang
  • , Yu Yan
  • , Yue Yuan Liao
  • , Jian Jun Mu
  • The First Affiliated Hospital of Xi’an Jiaotong University
  • Key Laboratory of Smart Grid of Shaanxi Province

Research output: Contribution to journal › Article › peer-review

49 Scopus citations

Abstract

Objective: To identify distinct body mass index (BMI) trajectories across the life-course and explore the effects of BMI trajectories on the adult cardiovascular disease outcomes using a dataset with 30 years of follow-up in northern China. Study design: A total of 2839 participants aged 6-18 years whose BMIs were measured 3-6 times during the Hanzhong Adolescent Hypertension Study were included in our analysis. Latent mixture modeling was used to clarify distinct BMI trajectories in longitudinal analyses. Results: Three groups with distinct trajectories in BMI were identified by the latent mixed models: a low-increasing group (n = 1324 [36.64%]), a moderate-increasing group (n = 1178 [16.89%]), and a high-increasing group (n = 337 [39.46%]). Compared with the participants in the low-increasing group, the risk ratios of hypertension, type 2 diabetes mellitus, high-risk triglycerides, and high-risk high-density lipoprotein cholesterol were more than 3.0 in the high-increasing group (all P < .001) after being fully adjusted. Increased risks existed in high brachial-ankle pulse wave velocity for the high-increasing group compared with the low-increasing group (RR, 2.75; 95% CI, 1.94-3.91; P < .001). Additionally, participants in the moderate-increasing group had a 2.31-fold increased risks of left ventricular hypertrophy (95% CI, 1.25-4.30; P = .008). Conclusions: Our study indicates that BMI trajectories from childhood to adulthood vary and that an elevated BMI trajectory in early life is predictive of an increased the risk of developing cardiovascular disease risks. Trial registration: ClinicalTrials.gov: NCT02734472.

Original languageEnglish
Pages (from-to)31-37.e6
JournalJournal of Pediatrics
Volume219
DOIs
StatePublished - Apr 2020
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • diabetes mellitus
  • hypertension
  • subclinical vascular damage
  • trajectories

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