Ontology highlight
ABSTRACT: Background
The prevalence of anemia is heterogeneous: different countries and population groups face varying risks of the disease. By identifying social, demographic, and economic factors, policymakers can define risk groups based on lifestyle and tailor measures to address the disease. This study examines and compares socioeconomic factors associated with anemia using data from two national surveys. The Russian survey relied solely on questionnaires, while the South African survey included medical examinations to confirm anemia cases.Methods
Multinomial regression was employed to estimate the risks of anemia using a combination of socioeconomic factors.Results
An inverse relationship was observed between bad habits and the risk of anemia in both samples. Education,
SUBMITTER: Burilina MA
PROVIDER: S-EPMC11951831 | biostudies-literature | 2025 Mar
REPOSITORIES: biostudies-literature