Correlation between visceral fat, muscles mass, and blood sugar levels in adults
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Abstract
The correlation between visceral fat levels (VF) or muscle mass and insulin resistance or type-2 diabetes mellitus has been studied extensively elsewhere, particularly in the urban-dwelling populations. The current study aimed to evaluate the association of VF or muscle mass with random blood glucose (RBG) among the rural population. A cross-sectional study was conducted in Buleleng Regency. A total of 105 samples were enrolled in the study and obtained through a systematic interview, random blood glucose measurement, anthropometry, and bioelectrical impedance analysis. Spearman’s correlation test was used to determine the correlation between visceral fat levels (VF) or muscle mass with RBG levels. A partial correlation test was used to control confounding variables (age, muscle mass, body mass index, body weight, waist circumference, hip circumference). Most of the samples (61.9%) were female, with a mean age was 53,48 ± 13,03. The statistical analysis results show VF had a significant correlation with RBG (r= 0.363, p<0.001 but neither as role of muscle mass in which the r= -0.073, p=0.461). There was no significant correlation found on the partial correlation test, between VF and RBG. In conclusion, although the correlation between VF levels and RBG was weak, the clinician should aware of the role of VF in the development of insulin resistance or diabetes mellitus type-2.
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References
Usui C, Asaka M, Kawano H, Aoyama T, Ishijima T, Sakamoto S, et al. Visceral fat is a strong predictor of insulin resistance regardless of cardiorespiratory fitness in non-diabetic people. J Nutr Sci Vitaminol (Tokyo). 2010;56(2):109–16.
Lafontan M. Adipose tissue and adipocyte dysregulation. Diabetes Metab. 2014;40(1):16–28.
Hong S, Chang Y, Jung H-S, Yun KE, Shin H, Ryu S. Relative muscle mass and the risk of incident type 2 diabetes: a cohort study. PLoS One. 2017;12(11).
Min T, Stephens JW. Targeting abdominal obesity in diabetes. Diabetes Manag. 2015;5(4):301.
Castro AVB, Kolka CM, Kim SP, Bergman RN. Obesity, insulin resistance and comorbidities? Mechanisms of association. Arq Bras Endocrinol Metabol. 2014;58(6):600–9.
Hocking S, Samocha-Bonet D, Milner K-L, Greenfield JR, Chisholm DJ. Adiposity and insulin resistance in humans: the role of the different tissue and cellular lipid depots. Endocr Rev. 2013;34(4):463–500.
Borel AL, Nazare JA, Smith J, Aschner P, Barter P, Van Gaal L, et al. Visceral, subcutaneous abdominal adiposity and liver fat content distribution in normal glucose tolerance, impaired fasting glucose and/or impaired glucose tolerance. Int J Obes. 2015;39(3):495–501.
Gastaldelli A, Miyazaki Y, Pettiti M, Matsuda M, Mahankali S, Santini E, et al. Metabolic effects of visceral fat accumulation in type 2 diabetes. J Clin Endocrinol Metab. 2002;87(11):5098–103.
Kurniawan LB, Bahrun U, Hatta M, Arif M. Body mass, total body fat percentage, and visceral fat level predict insulin resistance better than waist circumference and body mass index in healthy young male adults in Indonesia. J Clin Med. 2018;7(5):96.
Srikanthan P, Karlamangla AS. Relative muscle mass is inversely associated with insulin resistance and pre-diabetes. Findings from the third National Health and Nutrition Examination Survey. J Clin Endocrinol Metab. 2011;96(9):2898–903.
Han SJ, Boyko EJ, Kim S-K, Fujimoto WY, Kahn SE, Leonetti DL. Association of thigh muscle mass with insulin resistance and incident type 2 diabetes mellitus in Japanese Americans. Diabetes Metab J. 2018;42(6):488–95.
DeFronzo RA, Tripathy D. Skeletal muscle insulin resistance is the primary defect in type 2 diabetes. Diabetes Care. 2009;32(suppl 2):S157–63.
Benites-Zapata VA, Toro-Huamanchumo CJ, Urrunaga-Pastor D, Guarnizo-Poma M, Lazaro-Alcantara H, Paico-Palacios S, et al. High waist-to-hip ratio levels are associated with insulin resistance markers in normal-weight women. Diabetes Metab Syndr Clin Res Rev. 2019;13(1):636–42.