Ways of Synthesis of Applied Catalysts Using Supercritical Media

Abstract

We conducted a multivariable logistic regression analysis to identify factors that predicted iron supplementation for 90 days or longer among pregnant women in Zambia. The analysis included 7,356 weighted observations. The results showed that the model was statistically significant (Wald X² = 149.27, p < 0.001). This means that the predictors played a crucial role in forecasting adherence to iron supplementation. Education was the most critical factor in whether people followed their iron supplement regimen. Pregnant women with higher education levels were twice as likely (AOR = 2.04, 95% CI: 1.45-2.88, p < 0.001) to comply with iron supplementation for 90 days or more compared to those without education. Pregnant women living in urban areas also predicted adherence to iron supplementation (AOR = 1.25, p = 0.021). There were significant regional differences. Pregnant women in the Eastern and Southern regions were more likely to adhere to iron supplementation compared to those in Lusaka. However, age did not emerge as a significant predictor of iron supplementation when we considered other factors. The model explained nearly 11% of the variation in iron supplementation (Pseudo R² = 0.11).