Factors Influencing Anemia and Iron Deficiency in Pregnant Women in Indonesia
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Muhammad Nur Aidi1*, Elis Yuliana1, Rahma Anisa1, Taufiqur Rakhim Aditra2, Fitrah Ernawati3, Nunung Nurjanah3, Efriwati Efriwati3, Elisa Diana Julianti3, Dian Sundari3, Aya Yuriestia Arifin3, Fifi Retiaty, Rika Rachmawati3
- MSI Journal of Medicine and Medical Research (MSIJMMR)
Abstract: Pregnant women are at high risk for anemia, iron deficiency (ID), and iron deficiency anemia (IDA). During pregnancy, it is associated with low birth weight, preterm delivery, and an increased risk of perinatal death. The condition of anemia, ID, IDA, can be predicted using the regression method multinomial logistics. However, the classification method is prone to unbalanced data. One method that can be used to overcome the problem of data imbalance is Random Oversampling (ROS). The results of the multinomial logistic regression method show that the factors that significantly influence anemia and iron deficiency are gestational age, nutritional status, history of malaria, education, occupation, fruit consumption, and vegetable consumption. The multinomial logistic regression model provides a classification accuracy of 45.556%.
