{"title":"Association between Muscle Mass, Body Fat Mass, and Abdominal Circumstances with Insulin Resistance among Young Adult Population with Prediabetes Risk","authors":"Anindya Putri Adhisti, S. Fatimah-Muis, Amalia Sukmadianti, Darmono S.S., Febe Christianto","doi":"10.21048/ijnd.2023.60.2.30878","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":22457,"journal":{"name":"The Indian journal of nutrition and dietetics","volume":"44 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Indian journal of nutrition and dietetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21048/ijnd.2023.60.2.30878","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.