Anthropometric features in predicting insulin resistance among non-menopausal Indonesian adult females

1. HRUBY A., HU FB. The epidemiology of obesity: a big picture. Pharmacoeconomics. 2015; 33(7):673–689.10.1007/s40273-014-0243-x485931325471927Search in Google Scholar

2. SEIDELL JC., HALBERSTADT J. The global burden of obesity and the challenges of prevention. Ann Nutr Metab. 2015; 66(suppl 2):7–12.10.1159/00037514326045323Search in Google Scholar

3. HARBUWONO DS., PRAMONO LA., YUNIR E., SUBEKTI I. Obesity and central obesity in Indonesia: evidence from a national health survey. Med J Indones. 2018; 27(2):114–120.10.13181/mji.v27i2.1512Search in Google Scholar

4. SAND AS., EMAUS N., LIAN O. Overweight and obesity in young adult women: a matter of health or appearance? The Thomso study: fit futures. International Journal of Qualitative Studies on Health and Well-being. 2015; 10: 29026.10.3402/qhw.v10.29026458071026400463Search in Google Scholar

5. BALSAN GA., VIEIRA JLDC., OLIVEIRA AMD., PORTAL VL. Relationship between adiponectin, obesity and insulin resistance. Rev Assoc Bras. 2015; 61(1):72–80.10.1590/1806-9282.61.01.07225909213Search in Google Scholar

6. RODRIGUES TC., CANANI LH., GROSS JL. Metabolic syndrome, insulin resistance and cardiovascular disease in type-1 diabetes mellitus. Arq Bras Cardiol. 2010; 94(1):125–130.10.1590/S0066-782X2010000100020Search in Google Scholar

7. MATTHEWS DR., HOSKER JP., RUDENSKI AS., NAYLOR BA., TREACHER DF., TURNER RC. Homeostatis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin consentration in man. Diabetologia. 1985; 28:412–419.10.1007/BF002808833899825Search in Google Scholar

8. ANUNCIACAO PC., RIBEIRO RDCL. Anthropometric indicators in identification of insulin resistance in elderly men. O Mundo da Saude, Sao Paulo. 2015; 39(2):157–163.Search in Google Scholar

9. CHENG YH., TSAO YC., TZENG IS., CHUANG HH., LI WC., TUNG TH., et al. Body mass index and waist circumference are better predictors of insulin resistance than total body fat percentge in middle-aged and elderly Taiwanese. Medicine. 2017; 96:39.10.1097/MD.0000000000008126Search in Google Scholar

10. DIZ PG., GONZALES AO., ALVAREZ MXR., GUDE F., GARCIA F., FRANCISCO AD., et al. Insulin resistance (HOMA-IR) cut-off values and the metabolic syndrome in a general adult population: effect of gender and age: EPIRCE cross-sectional study. BMC Endocrine Disorders. 2013; 13:47.10.1186/1472-6823-13-47401656324131857Search in Google Scholar

11. 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. Journal of Clinical Medicine. 2018; 7:96.10.3390/jcm7050096597713529723977Search in Google Scholar

12. HORAKOVA D., STEPANEK L., JANOUT V., JANOUTOVA J., PASTUCHA D., KOLLAROVA H., et al. Optimal homeostasis model assessment of insulin resistance (HOMA-IR) cut-offs: a cross-sectional study in the Czech population. Medicina. 2019; 55:158.10.3390/medicina55050158657179331108989Search in Google Scholar

13. BAEK JH., KIM H., KIM KY., JUNG J. Insulin resistance and the risk of diabetes and dysgycemia in Korean general adult population. Diabetes & Metabolism Journal. 2018; 42:296–307.10.4093/dmj.2017.0106610735429885105Search in Google Scholar

14. BORGA M., WEST J., BELL JD., HARVEY NC., ROMU T., HEYMSFIELD SB., et al. Advanced body composition assessment: from body mass index to body composition profiling. J Investig Med. 2018; 66:887–895.10.1136/jim-2018-000722599236629581385Search in Google Scholar

15. ULBRICH EJ., NANZ D., LEINHARD OD., MARCON M., FISCHER MA. Whole-body adipose tissue and lean muscle volumes and their distribution across gender and age: MR-derived normative values in a normal-weight Swiss population. Magnetic Resonance in Medicine. 2018; 79(1):449–458.10.1002/mrm.2667628432747Search in Google Scholar

16. HAYASHI T., BOYKO EJ., MCNEELY MJ., LEONETTI DL., KAHN SE., FUJIMOTO WY. Visceral adiposity, not abdominal subcutaneous fat area, is associated with an increase in future insulin resistance in Japanese Americans. Diabetes. 2008; 57:1269–1275.10.2337/db07-137818299316Search in Google Scholar

17. CASTRO AV., KOLKA CM., KIM SP., BERGMAN RN. Obesity, Insulin Resistance and Comorbidities – Mechanisms of Association. Arq Bras Endocrinol Metabol. 2014; 58(6):600–609.10.1590/0004-2730000003223442382625211442Search in Google Scholar