Information evaluation
We used a statistical package deal for social sciences (SPSS) model 25 to investigate the collected information. We cleaned the info by sorting and tabulating easy frequency tables. Low delivery weight was dichotomized into 1 = Sure and 0 = No. Then, we computed descriptive statistics for the examine variables. Categorical variables have been reported utilizing frequencies and percentages. We checked the normality for the distribution of steady variables utilizing the Shapiro-Wilk take a look at. We utilized crosstabs to estimate the cumulative incidence of low delivery weight. Chi-square take a look at was used to evaluate the numerous variations within the cumulative incidence of low delivery weight. The distinction was thought-about statistically important at P-value < 0.05. We used a log-binomial mannequin to estimate the adjusted threat ratio and its 95% confidence interval (CI) of the chance components for low delivery weight.
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