*2.3. Statistical Analyses*

Statistical analysis of data from the questionnaires was performed using STATISTICA version 12 (StatSoft, Kraków, Poland). Qualitative data are described by numbers (n) and percentages (%), and quantitative data are described by means (M), standard deviations (SD) and medians (Me). To analyze the variables affecting GSES, LOT-R, and AIS scores, standard multiple regression analysis was performed. With this method, results are interpreted by comparing *β* values, indicating the direction and strength of relationships between predictors. The fit of the regression model to the data is indicated by the corrected *R*<sup>2</sup> value. Reference categories were provided for nominal and ordinal variables: For age it was under 25 years old, for residence—urban: Province capital, for education—college/university, and for time from PCOS diagnosis—less than 1 year. As to BMI, it was included in the analysis as a scale variable. If a variable comprised two categories, the analysis involved comparing the two categories, e.g., in the case of marital status—single, professional activity—not working, socio-economic status—unsatisfactory, and for having children—none. Correlations between selected variables were tested using Pearson's r; correlation strength was evaluated using Guilford's classification. The study used a significance threshold of *p* < 0.05.
