Statistical analyses
GDM
GDM, REGRESSION
SPSS version 22 (SPSS Inc., Chicago, IL., USA) was used for statistical analysis. The normality of data was tested using the Shapiro-Wilk W test, and continuous variables had a normal distribution. Descriptive statistics were used to describe continuous variables, and frequency distributions were used for categorical variables. To ensure the desirability of the random allocation process, the basic variables of the participants were checked in both groups after collecting the data in the first stage. The effect of health coaching during the follow-up period on GDM (each inappropriate glucose value) was expressed by calculating the relative risk (RR) at 95% CI. A multiple regression approach for analysis of covariance (ANCOVA) was used to assess the differences in physical activity and GWG between the pre-trial and post-trial phases in the 2 groups with controlling the effect of variables such as age, pre-pregnancy weight, and pre-pregnancy BMI as a covariate.Also, we used chi-square and Student 