Prevalence and Factors Associated with Iron Deficiency and Anemia among Residents of Urban Areas of São Paulo, Brazil

Nutrients. 2021 May 31;13(6):1888. doi: 10.3390/nu13061888.

Abstract

Anemia is a worldwide concern. This cross-sectional population-based study examined the prevalence of iron-deficiency anemia (IDA) among residents of São Paulo (n = 898; 12-93 years), considering sociodemographic factors, dietary iron inadequacy, and food contributors to iron intake. Blood cell count and iron biomarkers were quantified. Dietary iron intake was measured using two 24-h dietary recalls. Iron intake inadequacy was estimated using a probabilistic approach. The prevalence of anemia was 6.7%, depleted iron stores 5.1%, and IDA 1.1%. Women of all age groups, older adults, and those who were underweight or obese had the highest prevalence of anemia, and female adolescents had the highest prevalence of depleted iron stores. Female adolescents and adults were more vulnerable to depleted iron stores. Male adults and older adults had a considerable prevalence of iron overload. Except for female adolescents and adults, all groups had mild probabilities of inadequate iron intake. The main food iron contributor was wheat flour. Hemoglobin concentrations were directly associated with being an adult, having a higher income, and inversely associated with being female. Serum ferritin concentrations were directly associated with age and inversely correlated with female sex. Residents of São Paulo had a low prevalence of anemia, iron deficiency, and IDA, and sociodemographic factors interfered with these parameters.

Keywords: anemia; diet; epidemiological surveys; iron deficiency; iron deficiency anemia; iron overload; micronutrients; nutritional assessment.

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Anemia, Iron-Deficiency / epidemiology*
  • Brazil / epidemiology
  • Child
  • Cross-Sectional Studies
  • Diet / methods
  • Female
  • Humans
  • Male
  • Middle Aged
  • Prevalence
  • Sex Factors
  • Socioeconomic Factors
  • Urban Population / statistics & numerical data
  • Young Adult