Media arm circumference in schoo and preschool hospitalized as predictive value : acute malnutrition

Insights

Middle arm circumference (MAC) effectively identifies acute malnutrition in children. This study recommends specific MAC cutoffs for age and sex to improve nutritional deficit classification.

Area of Science:

  • Pediatric Nutrition
  • Anthropometry
  • Public Health

Background:

  • Acute malnutrition is a significant health concern in children.
  • Early identification is crucial for timely intervention and improved outcomes.
  • Anthropometric measurements are key tools for nutritional status assessment.

Purpose of the Study:

  • To evaluate the predictive power of mid-arm circumference (MAC) for early identification of acute malnutrition in preschool and school children.
  • To compare the diagnostic accuracy of MAC with weight-for-height (P/T) in identifying acute malnutrition.
  • To determine optimal cutoff points for MAC in different age and sex groups.

Main Methods:

  • A cross-sectional study involving 182 children aged 2-10 years hospitalized in Valencia, Venezuela.
  • Nutritional status assessed using mid-arm circumference-for-age (MAC) and weight-for-height (P/T).
  • Statistical analysis included sensitivity, specificity, predictive values (Bayes Theorem), Kappa index, and ROC curve analysis.

Main Results:

  • Prevalence of acute malnutrition was 34.6% by MAC and 28% by P/T, with good agreement between indicators (Kappa = 0.720).
  • MAC demonstrated good sensitivity and specificity, performing better in preschool and school-aged boys.
  • Recommended cutoff points: 14.9 cm for preschool children (85.5% sensitivity, 74.5% specificity) and 16 cm for school children (89.2% sensitivity, 80% specificity).

Conclusions:

  • Mid-arm circumference (MAC) is a reliable and effective anthropometric indicator for the early detection of acute malnutrition in children.
  • Establishing age- and sex-specific cutoff points for MAC can enhance the accuracy of nutritional deficit classification.
  • MAC offers a valuable tool for public health initiatives aimed at combating childhood malnutrition.

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