Clinical correlation of dietary inflammatory index with free androgenic index (FAI) and insulin resistance (HOMA-IR, HOMA-B, QUICKI) in people with polycystic ovary syndrome.

Abstract

Abstrac Introduction: Polycystic ovary syndrome is the most common hormonal disorder in women, which is seen in 4-6% of women of reproductive age, which can cause cancers, type 2 diabetes and cardiovascular diseases. To control it, only lifestyle changes are recommended as treatment. Most of these changes focus on changing dietary patterns, physical activity and weight loss. The purpose of this study is to determine the inflammatory index of the diet and its relationship with the index of free androgens and insulin resistance in these women, so that if there is a meaningful relationship, we can prepare a healthy diet for these people. Materials and Methods: Our study was a cross-sectional study that was conducted on 115 women with PCOS referred to gynecology and infertility clinics affiliated to Tabriz University of Medical Sciences. Information about food intake was collected to calculate the food index using a 3-day food registration form. The results investigated in this study included IR, HOMA-B, FAI, SHBG, testosterone, insulin and fasting blood sugar. Statistical analysis methods: After collecting the data and ensuring the correctness of the data entry, the data obtained from the study of descriptive statistical methods (prevalence, percentage, rate and measurement of deviations) and inferential statistics using SPSS 24 software were analyzed and statistically analyzed and 0.05 >P was considered significant. Pearson correlation, independent t, Mann-Whitney, Kruskal Wallis, One-way ANOVA, Spearman correlation tests were used to determine the relationship between the variables. Results: In this study, food inflammation index had no statistically significant relationship with HOMA-IR, HOMA-B, FAI, SHBG, testosterone, insulin, fasting blood sugar and hirsutism score. Also, HOMA-B relationship with body mass index (P=0.008) and QUICKI relationship with body mass index (P=0.002) were significant. SHBG with age (P=0.041) and testosterone with the amount of mass index had statistical significance (P˂0.001). In this study, FI with body mass index (P=0.017), fasting blood sugar with age (P=0.038) and body mass index (P=0.004), and hirsutism score with body mass index had statistically significant (P˂0.001). Conclusion: This study revealed no statistically significant relationship between DII and the other factors examined. According to the results of the current study, there is a statistically significant relationship between the average body mass index and the average scores for hirsutism, FBS, FI, testosterone, and FAI. As a result, it can be claimed that following a proper diet and losing weight would help to some extent avoid PCO issues.