2.7. Data Processing and Analysis

The complete data were coded and entered into Epi Info (version 3.5.1), and they were exported to SPSS version 20 for analysis. Anthropometric data were analyzed using ENA SMART software in terms of the WHO standard, and the wealth index was analyzed using Stata (version 12). Data cleaning was made manually to exclude subjects with incomplete data. Reliability of the cleaned data was checked through Cronbach's alpha, and its value is 0.71 which is greater than the cutoff point. The final data file was compiled for analysis. During the analysis, frequencies of different variables were determined, followed by cross-tabulation to compare the frequencies. Binary logistic regression analysis was done to measure the crude association between each independent variable through dependent variable, and variables having P value <0.2 were included in multivariable logistic regression analysis. The Hosmer and Lemeshow test for model fitness was checked in multivariable logistic regression, and it is 0.94 which is much greater than the cutoff point. P value <0.05 was used as a cutoff point for statistical significance of the study.