Conditional selection of multifactor evidence for the levels of anaemia among women of reproductive age group

Abstract

The study aims at ascertaining the conditional selection of key indicators affecting severe, moderate, mild, and no anaemia levels for women of reproductive age in India. The secondary data for levels of anaemia and personal records of individuals collected for India from the 7th phase of District Health Survey program of the United States Agency for International Development data depository. The data was cleaned and summarised using frequency and percentages. Then the variables were tested for association with levels of anaemia using the Chi-square (χ2) test. The multinomial logistic regression model was employed to ascertain the key indicators through a conditional selection of reference categories. Results suggest that severe anaemia was significantly prevalent among women in the reproductive stage, especially among the 15-29 age groups. Secondary and higher education had a negative effect on the severity of severe, moderate, and mild anaemia. The poorest wealth index stratum had higher and more significant severe anaemia, and households with two adults of the opposite sex had a significant negative effect (β = -0.116, OR = 0.89, p < 0.001) on severe anaemia level while having a significant positive effect on moderate and mild anaemia. Rural households were associated negatively and significantly with moderate and mild anaemia, and nuclear household structures had a higher prevalence of severe anaemia. Therefore, these indicators across different levels of anaemia should be considered for a faster rate of reduction at the national level. Despite several initiatives by the public sector, the anaemia level has remained elevated among women of reproductive age. Education, wealth index, age, pregnancy, relationship structure, household structure, and place of residence were found to be key indicators for the level of anaemia. The significant variables will act as a crucial input to formulate cost-effective public interventions and finally encourage the faster reduction of anaemia levels.

Keywords: Anaemia; Chi-square; Drivers; Iron deficiency; Multinomial logistic regression.