体重指数是女大学生肥胖与胰岛素抵抗最相关的人体测量指标

F. F. Dieny, S. Rose, A. Tsani
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引用次数: 1

摘要

背景:过度进食引起的身体组织功能障碍常被称为肥胖。内脏脂肪的过量储存会导致胰岛素抵抗。胰岛素抵抗与心血管疾病有关。人体测量可以说明胰岛素抵抗的早期风险。本研究的目的是确定人体测量指标与胰岛素抵抗之间的关系。材料与方法:本研究的研究对象为163名年龄在19-24岁的三宝垄女学生。这是一个横断面研究与目的性抽样方法使用“谷歌表单”。本研究收集的人体测量数据包括体重、身高、腰围、臀围、矢状腹径。收集的生化数据包括血糖和胰岛素水平。采用Pearson相关检验和多元线性回归检验对数据进行分析。结果:腰高比(WHtR)高危指标占72.4%;腰臀比(WHR) 22.1%;身体质量指数(BMI)为35.6%;矢状腹径(SAD) 12.2%,腰围55.2%。同时,空腹血糖水平高的受试者占16.6%,锥形指数(C-Index)有肥胖风险的受试者占74.8%,基于相对脂肪量(RFM)有肥胖风险的受试者占23.9%,胰岛素抵抗高稳态模型评估(HOMA-IR)水平的受试者占74.2%。肥胖的人体测量指标,包括锥度指数、相对脂肪质量、腰臀比、腰臀比、腰臀比、腰臀比均与胰岛素抵抗呈正相关。因此,多变量分析表明,体重指数的增加是与胰岛素抵抗最相关的指标(p< 0.001)。结论:体质指数是与胰岛素抵抗最相关的人体测量指标。
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Body Mass Index is The Most Associated Anthropometry Indicators of Obesity with Insulin Resistance in Female College Students
Background: Dysfunction of body tissues due to excessive food consumption is often referred to obesity. Excess storage of visceral fat can develop insulin resistance. Insulin resistance is associated with cardiovascular diseases. Anthropometric measurements can illustrate the early risk of insulin resistance. The aim of this study is to identify the association between anthropometric indicators and insulin resistance.Materials and Methods: The participants in this study were 163 female students aged 19-24 years who live in Semarang. This is a cross sectional study with a purposive sampling method using the "google form". Anthropometric data that were collected in this study include weight, height, waist cirrcumference, hip, sagittal abdominal diameter. Biochemical data that were collected include blood sugar and insulin levels. The data were analyzed using Pearson Correlation test and Multiple Linear Regression test.Results: Anthropometric indicators with high risk were 72.4% for Waist to Height Ratio  (WHtR); 22.1% for Waist Hip Ratio (WHR); 35.6% for Body Mass Index (BMI); 12.2% for Sagittal Abdominal Diameter (SAD) and 55.2% for waist cirrcumference. Meanwhile, subjects with high Fasting Blood Glucose levels was 16.6%, subjects had the Conicity Index (C-Index) at risk was 74.8% and based on the Relative Fat Mass (RFM) it was 23.9% of the participants were at risk of obesity and high Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) levels were 74.2%. Anthropometric indicators of obesity, including Conicity Index, Relative Fat Mass, WHtR, WHR, BMI, SAD, and waist and hip ratio were all positively associated with insulin resistance. Therefore, multivariate analysis showed that an increase in body mass index is an indicator that is most associated with the insulin resistance (p<0,001).Conclusion: Body Mass Index is the anthropometric indicator that is most associated with insulin resistance.
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