Vanessa De la Cruz-Góngora1, Marta Rivera-Pasquel2, Teresa Shamah-Levy3, Salvador Villalpando-Hernández4. 1. Centro de Investigación en Evaluación y Encuestas, Instituto Nacional de Salud Pública. Cuernavaca, Morelos, México. vcruz@insp.mx. 2. Centro de Investigación en Nutrición y Salud, Instituto Nacional de Salud Pública. Cuernavaca, Morelos, México. mrivera@insp.mx. 3. Centro de Investigación en Evaluación y Encuestas, Instituto Nacional de Salud Pública. Cuernavaca, Morelos, México. tshamah@insp.mx. 4. Centro de Investigación en Nutrición y Salud, Instituto Nacional de Salud Pública. Cuernavaca, Morelos, México. svillalp@insp.mx.
Abstract
OBJECTIVE: To describe the current status of anemia and iron deficiency (ID), as well as associated sociodemographic characteristics, in older adults (OA). Materials and meth-ods. Serum and capillary blood samples from a sample of OA participants (n=2 902) from the Ensanut 2018-19 were analyzed. ID was defined as s-ferritin<15 μg/L, and anemia was defined according to World Health Organization stan-dards. Logistic regression models were used to associate the characteristics of OA with anemia and ID. RESULTS: Of the OA analyzed, anemia was present in 28.4%, ID in 5% and iron deficiency anemia in 2.07%. Diabetes (OR=2.14), renal insuf-ficiency (OR=10.4), higher age, and urban dwelling (OR=1.35) were conditions associated with higher odds for anemia (p<0.05). Belonging to the 70-79 year age group was the only condition associated with higher odds for ID (OR=1.86, p<0.05). CONCLUSIONS: Anemia affects a high proportion of OA, and ID is not the main contributor to anemia. Chronic comorbidities help explain the anemia problem in OA.
OBJECTIVE: To describe the current status of anemia and iron deficiency (ID), as well as associated sociodemographic characteristics, in older adults (OA). Materials and meth-ods. Serum and capillary blood samples from a sample of OA participants (n=2 902) from the Ensanut 2018-19 were analyzed. ID was defined as s-ferritin<15 μg/L, and anemia was defined according to World Health Organization stan-dards. Logistic regression models were used to associate the characteristics of OA with anemia and ID. RESULTS: Of the OA analyzed, anemia was present in 28.4%, ID in 5% and iron deficiency anemia in 2.07%. Diabetes (OR=2.14), renal insuf-ficiency (OR=10.4), higher age, and urban dwelling (OR=1.35) were conditions associated with higher odds for anemia (p<0.05). Belonging to the 70-79 year age group was the only condition associated with higher odds for ID (OR=1.86, p<0.05). CONCLUSIONS:Anemia affects a high proportion of OA, and ID is not the main contributor to anemia. Chronic comorbidities help explain the anemia problem in OA.
Authors: Vanessa De la Cruz-Góngora; Aarón Salinas-Rodríguez; Mario Flores-Aldana; Salvador Villalpando Journal: Nutrients Date: 2021-10-27 Impact factor: 5.717