Dietary Intakes and Socioeconomic Factors Are Associated with the Hemoglobin Concentration of Bangladeshi Women
Author(s) -
Alok Bhargava,
Howarth E. Bouis,
Nevin S. Scrimshaw
Publication year - 2001
Publication title -
journal of nutrition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.463
H-Index - 265
eISSN - 1541-6100
pISSN - 0022-3166
DOI - 10.1093/jn/131.3.758
Subject(s) - hemoglobin , anemia , socioeconomic status , bioavailability , iron deficiency , environmental health , red meat , iron status , iron deficiency anemia , medicine , food science , zoology , physiology , biology , population , pharmacology
Iron deficiency anemia affects a large number of women in developing countries, especially during child-bearing years. The hemoglobin concentration is useful for identifying iron deficiency anemia. The main objectives of this study were, first, to extend algorithms for calculating bioavailable iron from mixed diets, taking into account the enhancers and inhibitors of iron absorption under alternative assumptions on body iron stores. Second, a comprehensive longitudinal model was developed for the proximate determinants of hemoglobin concentration that included the subjects' dietary intakes, nutritional status, morbidity and socioeconomic factors and the unobserved between-subject differences. The model for hemoglobin concentration was estimated using three repeated observations on 514 free living women in Bangladesh. Socioeconomic factors affecting the iron intake from meat, fish and poultry and from all animal sources were also modeled. The main results were that bioavailable iron, women's height and mid upper arm circumference and intake of iron tablets were significant predictors of hemoglobin concentration. Increases in household incomes were associated with higher intake of iron from meat, fish and poultry and from all animal sources. The algorithms for estimating bioavailable iron showed the importance of assumptions regarding body iron stores and underscored the need to develop suitable algorithms for subjects in developing countries.
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