The relationship between epicardial fat thickness and insulin resistance in women with polycystic ovary syndrome

Author(s):
Karoon ShahebrahimiKaroon Shahebrahimi1, Mehrali RahimiMehrali Rahimi1, Nahid SalehiNahid Salehi2, Mansoor RezaeiMansoor Rezaei2, Denial RezaeeDenial Rezaee1,*
1Dept. of Internal Medicine, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
2Dept. of Cardiology, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran

Journal of Kermanshah University of Medical Sciences:Vol. 21, issue 1; e69506
Published online:May 30, 2018
Article type:Research Article
Received:Feb 14, 2017
Accepted:May 30, 2017
How to Cite:Shahebrahimi K, Rahimi M, Salehi N, Rezaei M, Rezaee D. The relationship between epicardial fat thickness and insulin resistance in women with polycystic ovary syndrome. J Kermanshah Univ Med Sci. 2017;21(1):e69506. doi: https://doi.org/10.22110/jkums.v21i1.2715

Abstract

Fulltext

The full text of this article is available on PDF

References

  • 1.
    The refrences of this article is available on PDF.

Similar Articles

30
Jan
2016

Evaluation oF Epicardial Fat and Carotid Intima-Media Thickness in Obese Children

Hatem Hamed Elshorbagy,
ElSaeed R. Fouda,
Naglaa M. Kamal,
Mohammed M. Bassiouny,
Waleed M. Fathi

Elshorbagy HH, Fouda ER, Kamal NM, Bassiouny MM, Fathi WM. Evaluation oF Epicardial Fat and Carotid Intima-Media Thickness in Obese Children. Inn J Pediatr. 2016;26(1):e2968. doi: https://doi.org/10.5812/ijp.2968

6
Jul
2014

Epicardial Adiposity in Children with Obesity and Metabolic Syndrome

Erdal Eren,
Bulent Koca,
Mehmet Ture,
Bulent Guzel

Eren E, Koca B, Ture M, Guzel B. Epicardial Adiposity in Children with Obesity and Metabolic Syndrome. Inn J Pediatr. 2014;24(4):. doi:

30
Jul
2017

Optimal Cutoff Points for Anthropometric Variables to Predict Insulin Resistance in Polycystic Ovary Syndrome

Hossein Hatami,
Seyed Ali Montazeri,
Nazanin Hashemi,
Fahimeh Ramezani Tehrani

Hatami H, Montazeri SA, Hashemi N, Ramezani Tehrani F. Optimal Cutoff Points for Anthropometric Variables to Predict Insulin Resistance in Polycystic Ovary Syndrome. Int J Endocrinol Metab. 2017;15(4):e12353. doi: https://doi.org/10.5812/ijem.12353

17
Apr
2022
Thrita

Correlations Between Gonadotropin Hormones and the Manifestations of Polycystic Ovary Syndrome

Davoud Fazli,
Seyed Peyman Moghaddasi

Fazli D, Moghaddasi SP. Correlations Between Gonadotropin Hormones and the Manifestations of Polycystic Ovary Syndrome. Thrita J Neu. 2022;11(1):e117396. doi: https://doi.org/10.5812/thrita-117396

28
Jan
2020
International Journal of Health and Life Sciences

The Effect of 12 Weeks of Intense Interval Training on Changes in Adipose Levels and Visceral Adiposity Index in Women with Polycystic Ovary Syndrome

Bahar Faryadian,
Naser Behpoor,
Vahid Taedibi

Faryadian B, Behpoor N, Taedibi V. The Effect of 12 Weeks of Intense Interval Training on Changes in Adipose Levels and Visceral Adiposity Index in Women with Polycystic Ovary Syndrome. J Health Rep Technol. 2020;6(1):e97401. doi: https://doi.org/10.5812/ijhls.97401


Crossmark
Crossmark
Checking
Share on
Cited by
Metrics

Ordering Reprints

Articles are published under the Creative Commons license stated on each article. No permission or royalty fee is required for uses permitted by that license. CCC handles optional bulk and customized reprint orders. Any quotation covers production and delivery services only, not copyright permission. > Request Reprints from CCC 

Search Relations

Author(s):

Related Articles