Relationship Between Body Composition and Insulin Resistance Evaluated by the TyG Index: A Retrospective Study Among Chinese Population

IF 2.4 3区医学 Q2 ENDOCRINOLOGY & METABOLISM Clinical Endocrinology Pub Date : 2024-12-01 DOI:10.1111/cen.15171

Yufang Luo, Lei Liu, Min Liu, Chenyi Tang, Hong Liu, Meng Wang, Guo Feng, Jinru Wu, Wei Wu

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Abstract

Objective

The triglyceride glucose (TyG) index, a novel and easily obtained marker of insulin resistance (IR), has been shown to predict metabolic diseases. Monitoring body composition is crucial in assessing disease states. This study aimed to investigate the relationship between body composition and IR as assessed by the TyG index.

Methods

Between January 2018 and December 2021, 12,186 individuals were initially enroled, with 4061 adults were ultimately included. Body composition, including fat mass (FM), fat mass index (FMI), fat-free mass (FFM), fat-free mass index (FFMI), and percent body fat (PBF), was measured using bioelectrical impedance analysis. Spearman analysis assessed correlations between body composition indices and the TyG index. Binary logistic regression identified independent predictors of IR.

Results

Older women (≥ 50 years old) showed significantly higher BMI, PBF, FM, FMI, FFMI, HOMA-IR, and the TyG index, but lower FFM compared to younger women; Older men exhibited significantly lower BMI, FM, FFM, FFMI, HOMA-IR, and the TyG index than the younger men. FM, FMI, FFM, FFMI, and PBF were positively correlated with the TyG index. FFMI and PBF significantly predicted IR in both genders. Combined FFMI and PBF yielded an area under the ROC curves of 0.718 in women and 0.661 in men for IR diagnosis.

Conclusion

The TyG index correlates with body composition parameters of FFMI and PBF as well as HOMA-IR potentially making it a convenient marker of metabolic risk.

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用TyG指数评价人体成分与胰岛素抵抗的关系：一项中国人群的回顾性研究。

目的：甘油三酯葡萄糖（TyG）指数是一种新的、容易获得的胰岛素抵抗（IR）指标，已被证明可以预测代谢性疾病。监测身体成分对评估疾病状态至关重要。本研究旨在通过TyG指数评估身体成分与IR之间的关系。方法：在2018年1月至2021年12月期间，最初招募了12,186人，最终纳入了4061名成年人。采用生物电阻抗分析法测量体成分，包括脂肪质量（FM）、脂肪质量指数（FMI）、无脂质量（FFM）、无脂质量指数（FFMI）和体脂百分比（PBF）。Spearman分析评估了身体成分指数与TyG指数之间的相关性。二元逻辑回归确定了IR的独立预测因子。结果：老年妇女（≥50岁）BMI、PBF、FM、FMI、FFMI、HOMA-IR和TyG指数显著高于年轻妇女，但FFM低于年轻妇女；老年男性的BMI、FM、FFM、FFMI、HOMA-IR和TyG指数明显低于年轻男性。FM、FMI、FFM、FFMI、PBF与TyG指数呈正相关。FFMI和PBF对男女IR均有显著预测作用。联合FFMI和PBF在IR诊断中的ROC曲线下面积女性为0.718，男性为0.661。结论：TyG指数与FFMI和PBF的体成分参数以及HOMA-IR相关，可作为代谢风险的便捷指标。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Clinical Endocrinology 医学-内分泌学与代谢

CiteScore

6.40

自引率

3.10%

发文量

192

审稿时长

1 months

期刊介绍： Clinical Endocrinology publishes papers and reviews which focus on the clinical aspects of endocrinology, including the clinical application of molecular endocrinology. It does not publish papers relating directly to diabetes care and clinical management. It features reviews, original papers, commentaries, correspondence and Clinical Questions. Clinical Endocrinology is essential reading not only for those engaged in endocrinological research but also for those involved primarily in clinical practice.