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The weight and height of the participants were also measured. To do so, the weight (kg) of the participants was measured with clothes but without shoes. The height of the participants was measured in a normal condition without wearing shoes using a strip tape. The body mass index (BMI) was calculated by dividing the weight (kg) value by the square root of height (m) value. The PCOS condition was identified through sonography diagnostic assessment with checking patients�� clinical manifestations performed by a trained authority. Statistical analysis Data analysis was performed by descriptive analysis and logistic selleckchem regression tests using SPSS software version 15. For age, age at menarch and BMI t-test was applied. Mann-Whitney t-test was applied for kcal while for other variables Chi-square test was applied [Table 1]. As shown in Table 2 for all variables Mann-Whitney test were used. The samples were selected by random sampling. The size of the sample was decided as many as 400. The study's confidence coefficient was considered at 95% and the level of strength of the study at 80%. Furthermore, the ratio of PCOS-afflicted patients and the sampling error were assumed to be 50% and 0.07%, respectively. Table 1 Frequency (%) and central tendency (spread) of some health condition characteristics Catalase of participants Table 2 Frequency (%) and central tendency (spread) of food intake characteristics of sample population study RESULTS This study was carried out on 400 women of an mean �� standard deviation (SD) age of 29.5 �� 4.8 years old and an mean �� SD BMI of 24.1 �� 4.8 admitted to the Shahid Beheshti hospital. The prevalence of PCOS in the persons in the study was found to be 9.9%. Based on the primary analyses on the data (descriptive analysis), there was relationship between the history of ovarian diseases, genetics and the use of medications and PCOS. No relationship was observed between PCOS and other variables [Table selleck screening library 1]. As for the history of ovarian diseases, there was statistically significant difference between the patients with PCOS and healthy people (P

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