Statistical analysis
hirsutism
HIRSUTISM
After gathering the data, SPSS software version 24 was used for data analysis. Descriptive statistics such as mean (standard deviation) were used for quantitative data and number (percentage) was used for qualitative data. Median (percentile 25 to percentile 75) was used for quantitative data that had an abnormal distribution. Kolmogorov-Smirnov test was used to evaluate the normality of the data. Variables such as fasting insulin and HOMA-IR before and after intervention, testosterone, SHBG, hirsutism before and after intervention, and the duration of menstruation had an abnormal distribution while other variables had a normal distribution. An independent t-test was used for an intergroup comparison of variables with a normal distribution before intervention and after the intervention, ANCOVA test was used with a control of baseline values. Mann-Whitney U test was used for an intergroup comparison of variables with an abnormal distribution before and after the intervention. The paired samples t-test and Wilcoxon signed ranks test were used for intra-group comparisons of outcomes with normal and abnormal distribution, respectively.To analyze the FFQ, the nutrient units were converted to grams per day using the book “The Manual for Household Measures”. Also, any food or drink was coded and recorded in Nutritionist IV software which was adjusted for Iranian food to evaluate the amount of energy and nutrients received by the participants. The intake of energy, macronutrients, and micronutrients of each participant was also determined. All of the analysis was done base on an intention to treat. P < 0.05 was considered as significant.