Association between body composition patterns and dyslipidemia among adolescents
10.16835/j.cnki.1000-9817.2026295
- VernacularTitle:青少年体成分模式与血脂异常的关系
- Author:
SHI Longkai, XU Yingli, CHEN Linlin, ZHENG Chuanlei, LI Cunxiu, WANG Jiajun, DING Wenqing
1
Author Information
1. School of Public Health,Ningxia Medical University/Ningxia Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan 750004，Ningxia Hui Autonomous Region,China
- Publication Type:Journal Article
- Keywords:
Body composition；Dyslipidemias；Regression analysis；Adolescent
- From:
Chinese Journal of School Health
2026;47(10):1456-1460
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the association between body composition patterns and dyslipidemia in adolescents, so as to provide scientific evidence for developing strategies to prevent and manage dyslipidemia.
Methods:A total of 1 371 adolescents aged 12-18 years were selected from Yinchuan City in 2020 and 2023 by using a combination of convenience sampling and stratified cluster sampling. All participants completed questionnaire surveys, physical examinations, body composition measurements and blood lipid tests. Principal component analysis was used to extract body composition patterns, and participants were divided into quartiles( Q 1- Q 4) based on the score of each factor. Logistic regression combined with restricted cubic spline (RCS) analysis was used to examine the associations between body composition patterns and dyslipidemia, and analyses were stratified by gender.
Results:The prevalence of dyslipidemia among adolescents was 30.0%, with 27.4% for boys and 35.2% for girls. Principal component analysis extracted four body composition patterns:the fat mass pattern (eigenvalue=12.86, variance contribution rate=46.92%), the lean body mass pattern (eigenvalue=6.86, variance contribution rate=30.42%), the trunk dominant fat distribution pattern (eigenvalue=1.58, variance contribution rate=8.58%), and the trunk dominant lean body mass distribution pattern (eigenvalue=1.05, variance contribution rate=7.19%). According to the results of Logistic regression analysis, after adjusting confounding factors such as age, smoking, and alcohol consumption, compared with Q 1 group, adolescents in the Q 4 group of the fat mass pattern and the trunk dominant fat distribution pattern had increased risks of dyslipidemia ( OR =4.07,1.68), while adolescents in the Q 2 group of the lean body mass pattern had a decreased risk of dyslipidemia ( OR =0.59) (all P <0.05). RCS analysis showed nonlinear associations of the fat mass pattern and lean body mass pattern with dyslipidemia among adolescents (both P non-linearity <0.05), and the trunk dominant fat distribution pattern showed a linear association with dyslipidemia ( P-non linearity > 0.05 ). Among boys, the fat mass pattern and lean body mass pattern were associated with dyslipidemia ( OR =1.62,1.77), and a similar association for the fat mass pattern was also observed among girls ( OR =1.39)(all P <0.05). A similar association for the trunk dominant fat distribution pattern was observed only among boys （OR =1.46, P <0.05), with a significant gender interaction ( P interaction <0.05).
Conclusions:Increased fat mass and trunk fat accumulation in adolescents are associated with a higher risk of dyslipidemia, while moderate lean body mass plays a protective role. Controlling fat accumulation and maintaining appropriate lean body mass contribute to the prevention and management of dyslipidemia in adolescents.
