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Fatness and muscularity as risk indicators of child mortality in rural Congo

J Van den Broeck1, R Eeckels, A Hokken-Koelega

  • 1Dutch Growth Foundation, Sophia kinderziekenhuis, Rotterdam.

Insights

Anthropometric indicators of fatness and muscularity predict child mortality in rural Africa. Even normal-weight children with low fat or muscle mass face increased mortality risks, highlighting the need for comprehensive nutritional assessments.

Area of Science:

  • Pediatric Nutrition
  • Global Health
  • Anthropometry

Background:

  • A prospective cohort study involving 5167 children aged 0-5 years was conducted in Bwamanda, Northern Congo.
  • The study utilized a random cluster sample to represent the rural population.

Purpose of the Study:

  • To investigate the association between anthropometric measures of fatness and muscularity and mortality rates in young children.
  • To determine if these anthropometric indicators provide better mortality prediction than traditional weight-for-age measures.

Main Methods:

  • Assessed short-term (within 3 months) and long-term mortality rates.
  • Calculated mortality rates from all causes and specific causes like kwashiorkor and marasmus.
  • Derived fatness and muscularity indicators by adjusting arm fat and muscle areas for age, sex, weight, and height (standard deviation scores - SDS).

Main Results:

  • A threshold of -0.5 SDS for fatness and muscularity scores indicated a significant increase in all-cause and malnutrition-related mortality.
  • These findings persisted even in normal-weight children, indicating low fat/muscle mass as a risk factor.
  • Fatness and muscularity scores demonstrated superior predictive ability for mortality compared to weight-for-age, as shown by ROC curve analysis.

Conclusions:

  • Nutritional status assessment should incorporate objective evaluations of fat and muscle mass, not solely rely on weight indices.
  • Identifying low fat or muscle status, even in normal-weight children, is crucial for accurate malnutrition detection and mortality risk assessment.
Abstract

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