年轻糖尿病前期人群中肌肉质量、体脂肪质量和腹部环境与胰岛素抵抗的关系

Anindya Putri Adhisti, S. Fatimah-Muis, Amalia Sukmadianti, Darmono S.S., Febe Christianto
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引用次数: 0

摘要

由于胰岛素靶器官的胰岛素敏感性降低,糖尿病前期与血浆胰岛素浓度升高有关。中心性肥胖是前驱糖尿病的一个危险因素。确定肌肉量、体脂量和腹部围度与胰岛素抵抗的关系。本研究涉及50名年龄在15-35岁的年轻成人受试者,其中50名受试者符合纳入和排除标准。采用生物电阻抗分析法(BIA)测定肌肉质量和体脂肪质量。用测腹尺测量腹部围。睡眠时间是通过问卷来测量的,而体力活动是根据ipaq(简称ipaq)来测量的。胰岛素抵抗采用HOMA-IR评分。数据采用spearman相关分析。两种测量方法的腹围与HOMA IR均存在相关性(r = 0.691和r 0.659;P = 0.000)。按性别分别分析后,发现体脂量与HOMA-IR呈正相关(男性r = 0.672 p 0.001,女性r = 0.582 p 0.001)。骨骼肌质量与HOMA-IR呈负相关(男性r= -0.653 p 0.002,女性r= -0.424, p 0.019),但体力活动和睡眠时间与胰岛素抵抗无相关性。不论性别,骨骼肌量、脂肪量和腹围与胰岛素抵抗之间存在相关性。需要进一步的研究来确定HOMA-IR作为胰岛素抵抗预测因子的临界值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association between Muscle Mass, Body Fat Mass, and Abdominal Circumstances with Insulin Resistance among Young Adult Population with Prediabetes Risk
Prediabetesis is associated with an increase in plasma insulin concentration due to a decrease in insulin sensitivity in insulin target organs. Central obesity is a risk factor for prediabetes. To determine the relationship between muscle mass, body fat mass, and abdominal circumference with insulin resistance. The study was involving 50 young adult subjects aged 15-35 years, 50 subjects who met the inclusion and exclusion criteria. Muscle mass and body fat mass were measured using Bioelectrical Impedance Analysis (BIA). Abdominal circumference was measured using a tapemeter. Hours of sleep were measured using a questionnaire, while physical activity was measured based on the IPAQ-short form. Insulin resistances were measured using HOMA-IR score. Data were analyzed using spearman correlation. The correlation between abdominal circumference using two kinds of measurement and HOMA IR was found in all subjects (r = 0.691 and r 0.659; p = 0.000). After being analyzed separately by gender, it was found that there are positive correlation between body fat mass and HOMA-IR (male r = 0.672 p 0.001 female r = 0.582 p 0.001). There were a negative correlation between skeletal muscle mass and HOMA-IR (male r= -0.653 p 0.002, female r= -0.424, p 0.019), but there was no relationship between physical activity and sleep hours with insulin resistance. There is a relationship between skeletal muscle mass, fat mass, and abdominal circumference on insulin resistance regardless of gender. Further study is needed to determine the cutoff point of HOMA-IR as the predictor of insulin resistance.
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