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Published in: Journal of Diabetes & Metabolic Disorders 1/2023

22-12-2022 | Insulins | Research article

HOMA-IR mean values in healthy individuals: a population-based study in iranian subjects

Authors: Seyed Mohammad Masoodian, Abolfazl Omidifar, Sepideh Moradkhani, Majid Asiabanha, Majid Khoshmirsafa

Published in: Journal of Diabetes & Metabolic Disorders | Issue 1/2023

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Abstract

Purpose

Homeostasis Model Assessment-estimated Insulin Resistance (HOMA-IR) is an important indicator of insulin resistance. In this population-based investigation, we sought to report the mean value of HOMA-IR in different subgroups of a large population-based database of Iranian healthy subjects.

Methods

This study recruited adult healthy individuals between the ages of 18 to 70 years old to Massoud Medical Laboratory, Tehran, Iran. Fasting insulin was measured by using the Electro Chemiluminescence method using Roche Cobas 6000 e601/602 instrument.

Results

The mean ± SD value of the HOMA-IR index in the studied population was 2.11 ± 0.99 (2.5-97.5% percentiles: 0.66–4.50). In addition, the mean ± SD of HOMA-IR index in male and female groups were 2.35  1.0 (2.5-97.5 percentile: 0.57–4.37) and 2.05 ± 1.0 (2.5-97.5 percentiles: 0.53–4.35), respectively. Interestingly, it was observed a significant increment for the HOMA-IR index in the male group compared with the female group in all age subgroups (P < 0.01).

Conclusions

Our findings showed the mean value of 2.11 ± 0.99 HOMA-IR in the Iranian healthy population. Considering the large sample size in our study, more clinical investigations in terms of ethnicity should be done to provide a precise standardized HOMA-IR index in the Iranian population.
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Literature
1.
go back to reference Spoto B, Pisano A, Zoccali C. Insulin resistance in chronic kidney disease: a systematic review. Am J Physiol Ren Physiol. 2016;311(6):F1087-f108.CrossRef Spoto B, Pisano A, Zoccali C. Insulin resistance in chronic kidney disease: a systematic review. Am J Physiol Ren Physiol. 2016;311(6):F1087-f108.CrossRef
2.
go back to reference Yaribeygi H, Farrokhi FR, Butler AE, Sahebkar A. Insulin resistance: Review of the underlying molecular mechanisms. J Cell Physiol. 2019;234(6):8152–61.CrossRefPubMed Yaribeygi H, Farrokhi FR, Butler AE, Sahebkar A. Insulin resistance: Review of the underlying molecular mechanisms. J Cell Physiol. 2019;234(6):8152–61.CrossRefPubMed
3.
go back to reference Sarafidis P, Lasaridis A, Nilsson P, Pikilidou M, Stafylas P, Kanaki A, et al. Validity and reproducibility of HOMA-IR, 1&HOMA-IR, QUICKI and McAuley’s indices in patients with hypertension and type-2 diabetes. Journal of human hypertension. 2007;21:709–16. Sarafidis P, Lasaridis A, Nilsson P, Pikilidou M, Stafylas P, Kanaki A, et al. Validity and reproducibility of HOMA-IR, 1&HOMA-IR, QUICKI and McAuley’s indices in patients with hypertension and type-2 diabetes. Journal of human hypertension. 2007;21:709–16.
4.
go back to reference de Abreu VG, Martins CJdM, de Oliveira PAC, Francischetti EA. High-molecular weight adiponectin/HOMA-IR ratio as a biomarker of metabolic syndrome in urban multiethnic Brazilian subjects. PLoS ONE. 2017;12(7):e0180947-e.CrossRef de Abreu VG, Martins CJdM, de Oliveira PAC, Francischetti EA. High-molecular weight adiponectin/HOMA-IR ratio as a biomarker of metabolic syndrome in urban multiethnic Brazilian subjects. PLoS ONE. 2017;12(7):e0180947-e.CrossRef
5.
go back to reference Isokuortti E, Zhou Y, Peltonen M, Bugianesi E, Clement K, Bonnefont-Rousselot D, et al. Use of HOMA-IR to diagnose non-alcoholic fatty liver disease: a population-based and inter-laboratory study. Diabetologia. 2017;60(10):1873–82.CrossRefPubMed Isokuortti E, Zhou Y, Peltonen M, Bugianesi E, Clement K, Bonnefont-Rousselot D, et al. Use of HOMA-IR to diagnose non-alcoholic fatty liver disease: a population-based and inter-laboratory study. Diabetologia. 2017;60(10):1873–82.CrossRefPubMed
6.
go back to reference Nakamura K, Sakurai M, Miura K, Morikawa Y, Nagasawa SY, Ishizaki M, et al. HOMA-IR and the risk of hyperuricemia: a prospective study in non-diabetic Japanese men. Diabetes Res Clin Pract. 2014;106(1):154–60.CrossRefPubMed Nakamura K, Sakurai M, Miura K, Morikawa Y, Nagasawa SY, Ishizaki M, et al. HOMA-IR and the risk of hyperuricemia: a prospective study in non-diabetic Japanese men. Diabetes Res Clin Pract. 2014;106(1):154–60.CrossRefPubMed
7.
go back to reference Salgado AL, Carvalho L, Oliveira AC, Santos VN, Vieira JG, Parise ER. Insulin resistance index (HOMA-IR) in the differentiation of patients with non-alcoholic fatty liver disease and healthy individuals. Arq Gastroenterol. 2010;47(2):165–9.CrossRefPubMed Salgado AL, Carvalho L, Oliveira AC, Santos VN, Vieira JG, Parise ER. Insulin resistance index (HOMA-IR) in the differentiation of patients with non-alcoholic fatty liver disease and healthy individuals. Arq Gastroenterol. 2010;47(2):165–9.CrossRefPubMed
8.
go back to reference Kim JY, Bacha F, Tfayli H, Michaliszyn SF, Yousuf S, Arslanian S. Adipose Tissue Insulin Resistance in Youth on the Spectrum From Normal Weight to Obese and From Normal Glucose Tolerance to Impaired Glucose Tolerance to Type-2 Diabetes. Diabetes Care. 2019;42(2):265–72.CrossRefPubMed Kim JY, Bacha F, Tfayli H, Michaliszyn SF, Yousuf S, Arslanian S. Adipose Tissue Insulin Resistance in Youth on the Spectrum From Normal Weight to Obese and From Normal Glucose Tolerance to Impaired Glucose Tolerance to Type-2 Diabetes. Diabetes Care. 2019;42(2):265–72.CrossRefPubMed
9.
go back to reference da Silva CdC, Zambon MP, Vasques ACJ, Camilo DF, De Bernardi Rodrigues AM, Antonio MÂRdGM, et al. Homeostatic model assessment of adiponectin (HOMA-Adiponectin) as a surrogate measure of insulin resistance in adolescents: Comparison with the hyperglycaemic clamp and homeostatic model assessment of insulin resistance. PLoS ONE. 2019;14(3):e0214081-e.CrossRef da Silva CdC, Zambon MP, Vasques ACJ, Camilo DF, De Bernardi Rodrigues AM, Antonio MÂRdGM, et al. Homeostatic model assessment of adiponectin (HOMA-Adiponectin) as a surrogate measure of insulin resistance in adolescents: Comparison with the hyperglycaemic clamp and homeostatic model assessment of insulin resistance. PLoS ONE. 2019;14(3):e0214081-e.CrossRef
10.
go back to reference Sarafidis PA, Lasaridis AN, Nilsson PM, Pikilidou MI, Stafilas PC, Kanaki A, et al. Validity and reproducibility of HOMA-IR, 1/HOMA-IR, QUICKI and McAuley’s indices in patients with hypertension and type-2 diabetes. J Hum Hypertens. 2007;21(9):709–16.CrossRefPubMed Sarafidis PA, Lasaridis AN, Nilsson PM, Pikilidou MI, Stafilas PC, Kanaki A, et al. Validity and reproducibility of HOMA-IR, 1/HOMA-IR, QUICKI and McAuley’s indices in patients with hypertension and type-2 diabetes. J Hum Hypertens. 2007;21(9):709–16.CrossRefPubMed
11.
go back to reference Burrows R, Correa-Burrows P, Reyes M, Blanco E, Albala C, Gahagan S. Healthy Chilean Adolescents with HOMA-IR ≥ 2.6 Have Increased Cardiometabolic Risk: Association with Genetic, Biological, and Environmental Factors. J Diabetes Res. 2015;2015:783296-.CrossRefPubMedPubMedCentral Burrows R, Correa-Burrows P, Reyes M, Blanco E, Albala C, Gahagan S. Healthy Chilean Adolescents with HOMA-IR ≥ 2.6 Have Increased Cardiometabolic Risk: Association with Genetic, Biological, and Environmental Factors. J Diabetes Res. 2015;2015:783296-.CrossRefPubMedPubMedCentral
12.
go back to reference Yamada C, Mitsuhashi T, Hiratsuka N, Inabe F, Araida N, Takahashi E. Optimal reference interval for homeostasis model assessment of insulin resistance in a Japanese population. J Diabetes Investig. 2011;2(5):373–6.CrossRefPubMedPubMedCentral Yamada C, Mitsuhashi T, Hiratsuka N, Inabe F, Araida N, Takahashi E. Optimal reference interval for homeostasis model assessment of insulin resistance in a Japanese population. J Diabetes Investig. 2011;2(5):373–6.CrossRefPubMedPubMedCentral
13.
go back to reference Tang Q, Li X, Song P, Xu L. Optimal cut-off values for the homeostasis model assessment of insulin resistance (HOMA-IR) and pre-diabetes screening: Developments in research and prospects for the future. Drug discoveries & therapeutics. 2015;9(6):380–5.CrossRef Tang Q, Li X, Song P, Xu L. Optimal cut-off values for the homeostasis model assessment of insulin resistance (HOMA-IR) and pre-diabetes screening: Developments in research and prospects for the future. Drug discoveries & therapeutics. 2015;9(6):380–5.CrossRef
14.
go back to reference Lee CH, Shih AZ, Woo YC, Fong CH, Leung OY, Janus E, et al. Optimal Cut-Offs of Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) to Identify Dysglycemia and Type-2 Diabetes Mellitus: A 15-Year Prospective Study in Chinese. PLoS ONE. 2016;11(9):e0163424.CrossRefPubMedPubMedCentral Lee CH, Shih AZ, Woo YC, Fong CH, Leung OY, Janus E, et al. Optimal Cut-Offs of Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) to Identify Dysglycemia and Type-2 Diabetes Mellitus: A 15-Year Prospective Study in Chinese. PLoS ONE. 2016;11(9):e0163424.CrossRefPubMedPubMedCentral
15.
go back to reference The International Expert C. International Expert Committee Report on the Role of the A1C Assay in the Diagnosis of Diabetes. Diabetes Care. 2009;32(7):1327.CrossRef The International Expert C. International Expert Committee Report on the Role of the A1C Assay in the Diagnosis of Diabetes. Diabetes Care. 2009;32(7):1327.CrossRef
16.
go back to reference Horáková D, Štěpánek L, Janout V, Janoutová J, Pastucha D, Kollárová H, et al. Optimal Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) Cut-Offs: A Cross-Sectional Study in the Czech Population. Medicina (Kaunas, Lithuania). 2019;55(5). Horáková D, Štěpánek L, Janout V, Janoutová J, Pastucha D, Kollárová H, et al. Optimal Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) Cut-Offs: A Cross-Sectional Study in the Czech Population. Medicina (Kaunas, Lithuania). 2019;55(5).
17.
go back to reference Esteghamati A, Ashraf H, Khalilzadeh O, Zandieh A, Nakhjavani M, Rashidi A, et al. Optimal cut-off of homeostasis model assessment of insulin resistance (HOMA-IR) for the diagnosis of metabolic syndrome: third national surveillance of risk factors of non-communicable diseases in Iran (SuRFNCD-2007). Nutr Metab (Lond). 2010;7:26-. Esteghamati A, Ashraf H, Khalilzadeh O, Zandieh A, Nakhjavani M, Rashidi A, et al. Optimal cut-off of homeostasis model assessment of insulin resistance (HOMA-IR) for the diagnosis of metabolic syndrome: third national surveillance of risk factors of non-communicable diseases in Iran (SuRFNCD-2007). Nutr Metab (Lond). 2010;7:26-.
18.
go back to reference Nakai Y, Nakaishi S, Kishimoto H, Seino Y, Nagasaka S, Sakai M, et al. The threshold value for insulin resistance on homeostasis model assessment of insulin sensitivity. Diabet medicine: J Br Diabet Association. 2002;19(4):346–7.CrossRef Nakai Y, Nakaishi S, Kishimoto H, Seino Y, Nagasaka S, Sakai M, et al. The threshold value for insulin resistance on homeostasis model assessment of insulin sensitivity. Diabet medicine: J Br Diabet Association. 2002;19(4):346–7.CrossRef
19.
go back to reference Moon S, Park JH, Jang EJ, Park YK, Yu JM, Park JS, et al. The Cut-off Values of Surrogate Measures for Insulin Sensitivity in a Healthy Population in Korea according to the Korean National Health and Nutrition Examination Survey (KNHANES) 2007–2010. J Korean Med Sci. 2018;33(29):e197.CrossRefPubMedPubMedCentral Moon S, Park JH, Jang EJ, Park YK, Yu JM, Park JS, et al. The Cut-off Values of Surrogate Measures for Insulin Sensitivity in a Healthy Population in Korea according to the Korean National Health and Nutrition Examination Survey (KNHANES) 2007–2010. J Korean Med Sci. 2018;33(29):e197.CrossRefPubMedPubMedCentral
20.
go back to reference Ghasemi A, Tohidi M, Derakhshan A, Hasheminia M, Azizi F, Hadaegh F. Cut-off points of homeostasis model assessment of insulin resistance, beta-cell function, and fasting serum insulin to identify future type-2 diabetes: Tehran Lipid and Glucose Study. Acta Diabetol. 2015;52(5):905–15.CrossRefPubMed Ghasemi A, Tohidi M, Derakhshan A, Hasheminia M, Azizi F, Hadaegh F. Cut-off points of homeostasis model assessment of insulin resistance, beta-cell function, and fasting serum insulin to identify future type-2 diabetes: Tehran Lipid and Glucose Study. Acta Diabetol. 2015;52(5):905–15.CrossRefPubMed
21.
go back to reference Gayoso-Diz P, Otero-González A, Rodriguez-Alvarez MX, Gude F, García F, De Francisco A, 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 Endocr Disord. 2013;13:47-.CrossRefPubMedPubMedCentral Gayoso-Diz P, Otero-González A, Rodriguez-Alvarez MX, Gude F, García F, De Francisco A, 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 Endocr Disord. 2013;13:47-.CrossRefPubMedPubMedCentral
22.
go back to reference Vilela BS, Vasques ACJ, Cassani RSL, Forti ACE, Pareja JC, Tambascia MA, et al. The HOMA-Adiponectin (HOMA-AD) Closely Mirrors the HOMA-IR Index in the Screening of Insulin Resistance in the Brazilian Metabolic Syndrome Study (BRAMS). PLoS ONE. 2016;11(8):e0158751-e.CrossRef Vilela BS, Vasques ACJ, Cassani RSL, Forti ACE, Pareja JC, Tambascia MA, et al. The HOMA-Adiponectin (HOMA-AD) Closely Mirrors the HOMA-IR Index in the Screening of Insulin Resistance in the Brazilian Metabolic Syndrome Study (BRAMS). PLoS ONE. 2016;11(8):e0158751-e.CrossRef
23.
go back to reference Singh Y, Garg MK, Tandon N, Marwaha RK. A study of insulin resistance by HOMA-IR and its cut-off value to identify metabolic syndrome in urban Indian adolescents. J Clin Res Pediatr Endocrinol. 2013;5(4):245–51.CrossRefPubMedPubMedCentral Singh Y, Garg MK, Tandon N, Marwaha RK. A study of insulin resistance by HOMA-IR and its cut-off value to identify metabolic syndrome in urban Indian adolescents. J Clin Res Pediatr Endocrinol. 2013;5(4):245–51.CrossRefPubMedPubMedCentral
Metadata
Title
HOMA-IR mean values in healthy individuals: a population-based study in iranian subjects
Authors
Seyed Mohammad Masoodian
Abolfazl Omidifar
Sepideh Moradkhani
Majid Asiabanha
Majid Khoshmirsafa
Publication date
22-12-2022
Publisher
Springer International Publishing
Keywords
Insulins
Insulins
Published in
Journal of Diabetes & Metabolic Disorders / Issue 1/2023
Electronic ISSN: 2251-6581
DOI
https://doi.org/10.1007/s40200-022-01099-9

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