ABSTRACT
OBJECTIVE: In this international study, the prevalence of Eating disorders (EDs) was determined among university students and identified associated demographic and behavioral factors predicting disorders using data from three European countries. METHODS: The survey was conducted in Hungary, Poland, and Ukraine in 2018. Registered full-time students completed an online anonymous questionnaire. Students provided data about socioeconomic characteristics, body mass index (BMI), EDs, physical fitness and sport practice, psychological distress (stress, anxiety, depression), life orientation, alcohol, tobacco, and cannabis use. Data were analyzed using SPSS 24.0 software. RESULTS: From the 1965 returned questionnaires 1950 were analyzed, because of the missing data (67.3% female, mean age of the total participant's 21.40 ± 3.83 years old). EDs were observed in 26.3% of students. In logistic regression, EDs were predicted by female sex, higher BMI, single marital status, elevated psychological distress and limited access to health care. CONCLUSION: EDs are relatively common in university students especially in females. Students with higher distress and BMI, limited access to health care and living without partner are at risk for EDs. This result highlights the need for a public health approach. Universities are the last chance where students can be screened in an organized setting and offer interventions early when treatment is likely to be most effective.
ABSTRACT
The etiology of preterm premature rupture of membranes (PPROM), which is responsible for approximately 30% cases of preterm birth (PTB) is not yet fully understood. AIM: The aim of the study was to create a mathematical model for prognostication of PPROM based on the anamnesis, clinical data, laboratory findings and genetics predictors. MATERIALS AND METHODS: The study involved 80 women with PPROM (between 26 and 34 weeks of gestation) and 50 women having term birth (>37 weeks of gestation) of Zaporizhzhia region of Ukraine. Anamnesis, clinical, laboratory data and single nucleotide polymorphism sequencing of interleukin1 ß (IL1ß), tumor necrosis factor α(TNFα), interleukin4 (IL4), interleukin10 (IL10) and Relaxin 2 (RLN2) genes has been analyzed. Receiver operating characteristic analysis and multivariate logistic regression were used to PPROM predictors identification. RESULTS: We have identified prognostic anamnestic (history of preterm birth), clinical (cervical insuffiency, compromised uteroplacental and fetal circulation), microbiological (vaginal dysbiosis) and hematological criteria for intra-amniotic contamination and further development of PPROM and PTB: WBC>12.3×109/L, GRAN>76%, LYM<19%, neutrophil lymphocyte ratio>3.87, Kalph-Kaliph leukocyte index of intoxication (LII) >3.4, Ostrovsky LII >2.8. Also we have found that GG genotype of IL10 gene polymorphism (rs1800872) leads to a 12.5-fold and CT genotype of RLN2 gene polymorphism (rs4742076) leads to a 17.0-fold increase in risk for PPROM. CONCLUSIONS: The prognostic model that we have suggested is an adequate and convenient instrument for practical medical use, which allows for assessment of PPROM probability with a 85% sensitivity and a 72% specificity.
