Yue Yuan1, Chao Chu1, Wen-Ling Zheng1, Qiong Ma1, Jia-Wen Hu1, Yang Wang1, Yu Yan1, Yue-Yuan Liao1, Jian-Jun Mu2. 1. Department of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China; Key Laboratory of Molecular Cardiology of Shaanxi Province, Xi'an, China. 2. Department of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China; Key Laboratory of Molecular Cardiology of Shaanxi Province, Xi'an, China. Electronic address: mujjun@163.com.
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.
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.
Authors: Allison Kupsco; Haotian Wu; Antonia M Calafat; Marianthi-Anna Kioumourtzoglou; Alejandra Cantoral; Marcela Tamayo-Ortiz; Ivan Pantic; Maria Luisa Pizano-Zárate; Emily Oken; Joseph M Braun; Andrea L Deierlein; Robert O Wright; Martha M Téllez-Rojo; Andrea A Baccarelli; Allan C Just Journal: Environ Res Date: 2021-09-23 Impact factor: 8.431
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