Research Article

Evaluation of Insulin Resistance Measurement Methods in Patients with Polycystic Ovary Syndrome

Volume: 6 Number: 1 April 30, 2022
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Evaluation of Insulin Resistance Measurement Methods in Patients with Polycystic Ovary Syndrome

Abstract

Aim: This study aims to compare insulin resistance (IR) measurement methods in women with and without polycystic ovary syndrome (PCOS) who have the same body mass index. Material and Methods: There were 84 women with PCOS and non-PCOS (n=18 normal weight and n=24 overweight/obese in both groups). Triglyceride glucose index (TyG), assessment of insulin resistance with homeostasis model (HOMA-IR), visceral adiposity index (VAI) were calculated using lipid level, glucose level and anthropometric measurements. Mann-Whitney U or Student's t-test was used to compare measurements between the groups. The relationship between HOMA-IR and age was calculated with the Pearson correlation test, and the relationship between HOMA-IR and TyG was calculated with the Spearman correlation test. p<0.05 was considered significant. Results: Triglyceride levels, insulin, TyG, and HOMA-IR were higher in the PCOS group than in the non-PCOS group (p=0.003, p=0.001, p=0.006, p=0.001, respectively). In the PCOS group, there was a negative correlation between HOMA-IR and age (r=-0.399, p=0.024), and a positive correlation between HOMA-IR and TyG index (r=0.776, p<0.001). TyG index and HOMA-IR were higher in normal weight PCOS women than non-PCOS (p=0.002, p=0.003, respectively), however there was no difference in overweight/obese PCOS women and non-PCOS. In PCOS patients, a TyG index >3.91 (89.5% sensitivity, 76.9% specificity) predicted insulin resistance (IR). Conclusion: TyG and HOMA-IR levels are higher in women with PCOS than non-PCOS. The TyG index can be used as an alternative method in evaluating insulin resistance among these patients.

Keywords

References

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Details

Primary Language

English

Subjects

Health Care Administration

Journal Section

Research Article

Publication Date

April 30, 2022

Submission Date

December 25, 2021

Acceptance Date

February 4, 2022

Published in Issue

Year 2022 Volume: 6 Number: 1

APA
Bilginer, M. C., Tüfekçi, D., Emür Günay, Y., Usta, O., Coşkun, H., Üçüncü, O., Nuhoğlu, İ., & Koçak, M. (2022). Evaluation of Insulin Resistance Measurement Methods in Patients with Polycystic Ovary Syndrome. Turkish Journal of Diabetes and Obesity, 6(1), 24-31. https://doi.org/10.25048/tudod.1041387
AMA
1.Bilginer MC, Tüfekçi D, Emür Günay Y, et al. Evaluation of Insulin Resistance Measurement Methods in Patients with Polycystic Ovary Syndrome. Turk J Diab Obes. 2022;6(1):24-31. doi:10.25048/tudod.1041387
Chicago
Bilginer, Muhammet Cüneyt, Damla Tüfekçi, Yasemin Emür Günay, et al. 2022. “Evaluation of Insulin Resistance Measurement Methods in Patients With Polycystic Ovary Syndrome”. Turkish Journal of Diabetes and Obesity 6 (1): 24-31. https://doi.org/10.25048/tudod.1041387.
EndNote
Bilginer MC, Tüfekçi D, Emür Günay Y, Usta O, Coşkun H, Üçüncü O, Nuhoğlu İ, Koçak M (April 1, 2022) Evaluation of Insulin Resistance Measurement Methods in Patients with Polycystic Ovary Syndrome. Turkish Journal of Diabetes and Obesity 6 1 24–31.
IEEE
[1]M. C. Bilginer et al., “Evaluation of Insulin Resistance Measurement Methods in Patients with Polycystic Ovary Syndrome”, Turk J Diab Obes, vol. 6, no. 1, pp. 24–31, Apr. 2022, doi: 10.25048/tudod.1041387.
ISNAD
Bilginer, Muhammet Cüneyt - Tüfekçi, Damla - Emür Günay, Yasemin - Usta, Oğuzer - Coşkun, Hülya - Üçüncü, Ozge - Nuhoğlu, İrfan - Koçak, Mustafa. “Evaluation of Insulin Resistance Measurement Methods in Patients With Polycystic Ovary Syndrome”. Turkish Journal of Diabetes and Obesity 6/1 (April 1, 2022): 24-31. https://doi.org/10.25048/tudod.1041387.
JAMA
1.Bilginer MC, Tüfekçi D, Emür Günay Y, Usta O, Coşkun H, Üçüncü O, Nuhoğlu İ, Koçak M. Evaluation of Insulin Resistance Measurement Methods in Patients with Polycystic Ovary Syndrome. Turk J Diab Obes. 2022;6:24–31.
MLA
Bilginer, Muhammet Cüneyt, et al. “Evaluation of Insulin Resistance Measurement Methods in Patients With Polycystic Ovary Syndrome”. Turkish Journal of Diabetes and Obesity, vol. 6, no. 1, Apr. 2022, pp. 24-31, doi:10.25048/tudod.1041387.
Vancouver
1.Muhammet Cüneyt Bilginer, Damla Tüfekçi, Yasemin Emür Günay, Oğuzer Usta, Hülya Coşkun, Ozge Üçüncü, İrfan Nuhoğlu, Mustafa Koçak. Evaluation of Insulin Resistance Measurement Methods in Patients with Polycystic Ovary Syndrome. Turk J Diab Obes. 2022 Apr. 1;6(1):24-31. doi:10.25048/tudod.1041387

Cited By

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