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

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 H...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Evaluation and program planning 2023-10, Vol.100, p.102344, Article 102344
Hauptverfasser: S.T, Pavan Kumar, Lahiri, Biswajit
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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 
ISSN:0149-7189
1873-7870
DOI:10.1016/j.evalprogplan.2023.102344