Journal of
Clinical Medicine and Research

  • Abbreviation: J. Clin. Med. Res.
  • Language: English
  • ISSN: 2141-2235
  • DOI: 10.5897/JCMR
  • Start Year: 2009
  • Published Articles: 104

Full Length Research Paper

Body mass index (BMI) related insulin resistance in polycystic ovarian syndrome among patients referred to gynecology clinic of Imam Reza Hospital, Tehran, Iran

Khayyat Khameneie Maryam¹, Nahid Arian pour²*, Aghdas Safari1 and Rasool Roozegar3
1Department of Obstetrics and Gynecology, Imam Reza Hospital, Tehran, Iran. 2Department of Microbiology, AJA University of Medical Sciences, Tehran, Iran. 3Department of Statistics, Yazd University, Yazd, 89195-741, Iran.
Email: [email protected]

  •  Accepted: 18 September 2012
  •  Published: 31 October 2012


Polycystic ovarian syndrome (PCOs) is one of the commonest endocrinopathies of women. The present work has been undertaken with an aim to study insulin resistance rate among army personnel families. Out of 108 women suffering from oligomenorrhea and hirsutism referred to gynecology clinic of Imam Reza hospital from 2009 to 2010, 58 patients with PCOs were evaluated for insulin resistance. Their disease was diagnosed clinically and confirmed by laboratory findings. The patients fasting blood sugar (FBS) was measured to be 81 to 103 with mean of 91.44 ± 6.52. Insulin level of their fasting blood (FBI) was 3.1 to 33 with mean of 10.95 ± 7.53. FBS/FBI ratio ranged from 2.87 to 31.6 with mean of 12.54 ± 7.98. The co-relational analysis reveals a positive relationship between insulin resistance and body mass index (BMI; normal, overweight and obese). There was a significant association between these two ordinal variables (Spearman’s Correlation Coefficient is 0.59, P < 0.01). Leutinizing hormone/follicle stimulating hormone (LH/FSH) ratio is not significantly related with BMI (P = 0.65) and no significant relationship was observed between age groups and LH/FSH ratio (P = 0.76). The results achieved by two-way analysis of variance (ANOVA), that is, the F-values given in the Tests of Between-Subjects Effects indicate that the contribution of age group to ANOVA is not significant (F = 0.160, P = 0.852). The level of significance between BMI and FBS/FBI is 0.699 (F = 0.360). In addition to the main effects of both variables, there is no significant interaction. 6% of overweight and 39% of our obese patients were resistant to insulin, while no resistance to insulin was observed among cases with normal BMI.


Key words: Polycystic ovarian syndrome (PCOs), insulin resistance, diabetes, body mass index (BMI), infertility.