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Body Mass Index is The Most Associated Anthropometry Indicators of Obesity with Insulin Resistance in Female College Students

*Fillah Fithra Dieny scopus  -  Department of Nutrition Science, Faculty of Medicine, Universitas Diponegoro, Indonesia
Sophia Rose  -  Department Nutrition Science Fakultas Kedokteran Universitas Diponegoro, Indonesia
A Fahmy Arif Tsani orcid  -  Department of Nutrition Science, Faculty of Medicine, Universitas Diponegoro, Indonesia
Received: 30 Dec 2021; Published: 2 Dec 2022.

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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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Keywords: waist-to-height ratio, waist hip ratio, body mass index, sagittal abdominal diameter, conicity index; relative fat mass; insulin resistance

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