Correlation between Insulin Resistance with severity of Vasomotor symptoms in Postmenopausal Women | ||
| Zagazig University Medical Journal | ||
| Article 34, Volume 30, Issue 4, July 2024, Pages 1354-1363 PDF (1.31 M) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/zumj.2024.280875.3306 | ||
| Authors | ||
| Ibrahim Adel ELnaptiti* 1; Mohamed S S Saad2; Amany Mohamed Ahmed Abdelghany3; Azza Hassan Abdelfattah4 | ||
| 1Internal Medicine Department, Faculty of Medicine, Zagazig University, Egypt | ||
| 2internal medicine department,faculty of medicine ,zagazig university ,sharkia,egypt. | ||
| 3Obstetrics and Gynecology Department, Faculty of Medicine, Zagazig University, Egypt | ||
| 4Lecturer of Internal Medicine, Faculty of Medicine, Zagazig University | ||
| Abstract | ||
| Background: Hormonal fluctuations could affect vasomotor symptoms (VMS), particularly the decline in estrogen levels that accompany menopause. This research aimed to assess the correlation between insulin resistance and the severity of VMS in postmenopausal women. Methods: Seventy-four postmenopausal women (at least 12 consecutive months of amenorrhea) aged 40 years or more in this comparative cross-sectional study were classified regarding VMS into two groups (37 in each group): Group I: Postmenopausal women without VMS, Group II: Postmenopausal women with VMS. A menopausal Vasomotor Symptoms (MVS) survey was administered to all study participants. Laboratory investigations included Hemoglobin A1c, fasting blood glucose, and Insulin resistance index (HOMA-IR). Results: There were statistically significant positive correlations between HOMA-IR score and body mass index, Fasting Insulin, HBA1C, FBS, PBS, HDL, TGs, cholesterol, and estimated glomerular filtration rate to VMS (P<0.001) with a significant negative correlation between VMS and age. (P<0.05). HOMA-IR at cutoff value = 1.67 was a good predictor test for the severity of VMS among postmenopausal women. HOMA-IR, Age, BMI, and HbAlc were independent predictors for the severity of VMS among postmenopausal women (P<0.05) with Confidence interval (CI): (1.401 – 2.009, 0.564 – 0.917, 0.771 – 2.016, 0.564 – 0.917 respectively) and odd Ratios (OR) of (3.678, 1.719, 9.247, and 7.719 respectively). Conclusion: In postmenopausal women, there was a correlation between IR and VMS providing a strong basis for clinical diagnosis and treatment to improve quality of life of postmenopausal Female patient. | ||
| Keywords | ||
| Insulin Resistance; severity; Vasomotor symptoms; Postmenopausal Women | ||
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