Determination of predictive factors in families of girls with menstrual disorders comorbid with endocrine system pathology

Abstract

Objective — to determine predictive factors in the families of girls with menstrual disorders comorbid with endocrine system pathology. Materials and methods. The genealogical analysis was carried out in the families of 47 girls with oligomenorrhea (OM) and 44 girls with abnormal uterine bleeding (AUB) comorbid with endocrine system pathology. The comparison group consisted of the pedigrees of 30 families of healthy girls living in Kharkiv and Kharkiv Region. During the genealogical study, we observed the principles of the Declaration of Helsinki, the Council of Europe Convention for the Protection of Human Rights and Dignity of the Human Being, and the relevant laws of Ukraine. The Student’s t­test was used to determine the significance of the differences between the signs. The predictive implications of the studied signs were determined by the Wald method with informativity estimation using the Kullback criterion. Results and discussion. Hereditary burden of reproductive, gynecological non­inflammatory, endocrine diseases and environmental factors was identified in the families of girls with OM and AUB comorbid with endocrine pathology: pernicious habits and stress in the mothers of sick girls before and during pregnancy, threatened miscarriage. Risk factors for the sick girls included artificial feeding of a girl, stress, traumatizing of a girl, and prolonged use of the Internet and gadgets. Among non­communicable diseases in relatives of sick girls, the most common were gynecological non­inflam­matory diseases when compared with the relatives of girls with AUB and healthy girls (p < 0.001), while relatives of healthy girls mostly suffered from nervous system disorders (p < 0.05). Common and distinct predictive signs in the families of girls with OM and AUB and comorbid endocrine pathology have been identified. Conclusions. The predictive factors in the families of girls with OM and AUB have been identified, the use of which will allow forming high-risk groups as regards the high risk of menstrual disorders based on the genealogical analysis.