Association of body mass index and dietary habits with ovarian and uterine morphology with subfertile polycystic ovarian syndrome

Ambreen Usmani, Rehana Rehman, Zehra Akhtar

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Objective: To correlate ovarian and uterine morphology in subfertile patients having polycystic ovarian syndrome with their body mass index (BMI) and eating habits Methodology: One hundred subjects were included in this cross sectional study having ages between 20-40 years with history of subfertilty for the past two years. BMI (kg/m2) was measured according to WHO protocol. Ovarian volume, follicle count and size, uterine area, endometrial thickness were measured sonographically and noted. Dietary habits were recorded by a structured questionnaire from all participants Results: According to BMI two groups of 50 subjects each were formed; group I= 25.6 ± 4.7 kg/m2 and group II= 28.6 ± 5.7 kg/m2. The follicular count was 14.41± 2.18 and 12.75± 2.80; the follicular size (in mm) was 8.23±0.41 and 3.29±0.25 (p-value 0.023 & 0.001). The uterine area (in cm2) and endometrial thickness (in cm) was 86.9±25.7 and 117.2±29 (p-value 0.001 and 0.05). The ovarian volume (OV) estimated by trans-abdominal scan (TAS) was 10.87±2.49 cm3 and 14.33±3.17 cm3 (p-value=0.022). The trans-vaginal scan (TVS) showed OV; 11.44±2.36 cm3 and 14.79±2.19 cm3 (p-value=0.034). A weak positive correlation of BMI with OV (TVS) was observed (r=0.05). The ovarian volume in those women who consumed fast food frequently was significantly raised as compared to those who rarely ate fast food; the difference was 14.57±3.75 vs. 9.62±2.43 (p value 0.00). Conclusion: With increasing body mass index the ovarian volume, uterine area and endometrial thickness increases. However the follicular count and follicular size is reduced with higher BMI.

Original languageEnglish (UK)
Pages (from-to)133-138
Number of pages6
JournalJournal of Postgraduate Medical Institute
Volume28
Issue number2
Publication statusPublished - 2014
Externally publishedYes

Keywords

  • Body mass index (BMI)
  • Dietary habits
  • Ovarian morphology
  • Polycystic ovarian syndrome
  • Uterine morphology

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