Global Landscape of Malnutrition in Infants and Young Children

Lynnette M Neufeld1, Ty Beal2, Leila M Larson3

  • 1Global Alliance for Improved Nutrition (GAIN), Geneva, Switzerland, lneufeld@gainhealth.org.

Insights

Child malnutrition, including stunting and wasting, poses significant global health risks. Accurate data is crucial for effective interventions to combat diverse forms of malnutrition.

Area of Science:

  • Global child health
  • Nutritional epidemiology
  • Public health policy

Background:

  • Malnutrition in early life leads to immediate mortality and long-term health impairments.
  • Undernutrition causes stunting (149M children <5 yrs) and wasting (49M children), with significant global and Indian prevalence.
  • Micronutrient malnutrition data is scarce, and anemia is an unreliable proxy due to complex causes.

Purpose of the Study:

  • To highlight the urgent need for updated data on the prevalence and distribution of various malnutrition forms globally.
  • To emphasize the co-existence of undernutrition (stunting, wasting, micronutrient deficiency) and overweight in children.
  • To underscore the scarcity of data on factors predicting these co-existing conditions.

Main Methods:

  • Review of existing global and national data on child malnutrition.
  • Analysis of trends in stunting, wasting, overweight, and micronutrient deficiencies.
  • Examination of data gaps and variability in malnutrition prevalence and determinants.

Main Results:

  • Stunting affects over 149 million children globally, with 33% in India.
  • Over 49 million children are wasted, while 40 million are overweight globally.
  • Significant regional variations exist in malnutrition prevalence and its determinants, necessitating localized data.

Conclusions:

  • Accurate, up-to-date data is essential for understanding and addressing the multifaceted nature of child malnutrition.
  • Tailored policies and programs require better data on the co-existence of different malnutrition forms and their predictors.
  • Accelerating progress requires urgent efforts to collect and utilize comprehensive malnutrition data at local levels.

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