*2.7. Statistical Analysis*

The data collected was entered into SPSS IBM statistical package (version 25, IBM, Armonk, NY, USA). All results of quantitative variables were reported either as mean or frequency (percentage) (%). A chi-squared test was employed to assess if there was a significant association between categorical variables. Risk estimates of the sociodemographic factors (age, educational level and BMI) on GMH, NA, IES and NHI were determined and expressed as an odds ratio. Finally, multivariate linear regression analysis was done to assess the difference in dependent and independent variables, including age, educational level, and body weight (BMI). A *p*-value of less than 0.05 was considered significant.
