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Data needed to respond appropriately to anemia when it is a public health problem.

Anne M WilliamsO Yaw AddoScott D GrosseNicholas J KassebaumZane RankinKatherine E BallesterosHelen Elizabeth OlsenAndrea J SharmaMaria Elena JefferdsZuguo Mei
Published in: Annals of the New York Academy of Sciences (2019)
Although the proportion of anemia amenable to change varies by population, the World Health Organization (WHO) criteria used to describe the public health severity of anemia are based on population prevalences. We describe the importance of measuring iron and other etiologic indicators to better understand what proportion of anemia could be responsive to interventions. We discuss the necessity of measuring inflammation to interpret iron biomarkers and documenting anemia of inflammation. Finally, we suggest assessing nonmodifiable genetic blood disorders associated with anemia. Using aggregated results from the Global Burden of Disease 2016, we compare population prevalence of anemia with years lived with disability (YLD) estimates, and the relative contributions of mild, moderate, and severe anemia to YLD. Anemia prevalences correlated with YLD and the relative proportion of moderate or severe anemia increased with anemia prevalence. However, individual-level survey data revealed irregular patterns between anemia prevalence, the prevalence of moderate or severe anemia, and the prevalence of iron deficiency anemia (IDA). We conclude that although the WHO population prevalence criteria used to describe the public health severity of anemia are important for policymaking, etiologic-specific metrics that take into account IDA and other causes will be necessary for effective anemia control policies.
Keyphrases
  • iron deficiency
  • chronic kidney disease
  • public health
  • risk factors
  • gene expression
  • physical activity
  • dna methylation
  • genome wide
  • drug delivery
  • big data
  • artificial intelligence
  • deep learning