Background: Food insecurity and anemia are prevalent among low-income families and infants. Anemia may reflect iron deficiency anemia (IDA) risk. IDA in infancy and early childhood may have long-lasting developmental effects. Few studies have examined food security status (FSS) as a risk factor for anemia.
Objective: To examine the association between household FSS, sociodemographic and health-related variables, and anemia incidence at age 18 months among low-income infants in the Massachusetts Special Supplemental Nutrition Program for Women, Infants, and Children (MA/WIC).
Study Design: This was a longitudinal study using data from MA/WIC (August 2001 to November 2009) to assess the relationship between household FSS during the 12 months preceding the 1-year visit (age 9 to 15 months) and anemia at age 18 months.
Participants/settings: Infants included were not anemic at age 12 months and had complete data on household FSS and the following covariates (N=17,831): race/Hispanic ethnicity, maternal education, breastfeeding duration, household size, and child age.
Statistical Analyses Performed: Multiple logistic regression was used to examine the association between household FSS during the prior 12 months and anemia at 18 months, controlling for infant age, sex, and race/Hispanic ethnicity, breastfeeding, maternal education, and household size.
Results: A majority of infants (56%) were nonwhite, and 19.9% lived in food-insecure households (4.8% in very-low food security). Of the infants who were not anemic at age 12 months, 11.7% became anemic by age 18 months. Infants living in low-food-secure households were 42% more likely (adjusted odds ratio 1.42, 95% CI, 1.27-1.60) to develop anemia at age 18 months than were their food-secure counterparts. Nonwhite race, higher household size, and lower maternal education were also associated with an elevated risk of anemia at age 18 months.
Conclusions: Low food security appears to be associated with a significant increased risk of anemia, as do nonwhite ethnicity, lower maternal education, and larger household size. Knowledge of these risk factors can be used to design IDA-prevention interventions in this vulnerable population.
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http://dx.doi.org/10.1016/j.jand.2016.06.008 | DOI Listing |
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