Stata mp for windows version 12

Data were coded and entered in STATA/MP for Windows, Version 12 (Stata Corp LP, TX, USA). Categorical data are presented as numbers and percentages, while continuous data are presented as the mean and standard deviation (SD). Prevalence was analyzed using descriptive statistics and reported as a percentage with a 95% confidence interval. The chi-square test was used to compare categorical data, while continuous data were compared using the t-test. Continuous data were grouped to analyze associated factors using the odds ratio (OR), while binary logistic regression analysis was used to determine the risk factors associated with obesity. The magnitude of association was presented as crude OR with a 95% confidence interval (CI). Multivariate analysis was performed using logistic regression analysis, and a P value less than 0.05 was considered statistically significant.

Data were coded and entered in the STATA/MP for Windows, Version 12 (Stata Corp LP, TX). Categorical data were presented as number and percentage. Continuous data were presented as mean and standard deviation (SD). Prevalence was analyzed using descriptive statistics and reported as percentage and 95% confident interval. The chi-square test was used to compare categorical data. Continuous data was compared using the t-test. Continuous data were grouped to analyze associated factor using odds ratio (OR). The magnitude of associations was presented as crude ORs with 95% confidence interval. The multivariate analysis was performed using logistic regression analysis and Forward Stepwise (LR) to adjust confounders. Stepwise p-value for entry was 0.05, and p-value for removal was set at 0.10. The Hosmer-Lemeshow goodness-of-fit of the logistic regression models was performed with p-value = 0.494. The complete case analysis and imputation method were used for any missing data. Missing values were imputed based on the means of the complete case. A p-value less than 0.05 was considered statistically significant.