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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.
Abstract:
The predictive power of the middle arm circumference for early identification of acute malnutrition in preschool and school children hospitalized in two hospitals in Valencia, Carabobo state. Was evaluated 182 children aged 2-10 years were evaluated. Anthropometric nutritional status calculated by: mid-arm circumference for age MAC and weight for height P/T. SPSS version 15.0 and Statistix version 6.0 was used. Sensitivity, specificity, positive and negative predictive value was determined by Bayes Theorem; Kappa index for correspondence; Diagnosis of acute malnutrition and sensitivity by MAC and area under the curve ROC; 95% confidence level. We found 51.1% male, 48.9% female, age 5.2 ± 2.2 years; 71.4% pre-school, school 28.6% (p = 0.000) between ages. When adjusted for sex and age, the CMB was significantly correlated with weight (r = 0.804; p = 0.000) and height (r = 0.510; p = 0.000). Kappa index of 0.720 (p = 0.000) for the comparison between P/T and CMB in the diagnosis of acute malnutrition. Acute malnutrition 28% prevalence for P/T and 34.6% for MAC, with agreement between both indicators. MAC showed good sensitivity and specificity, being more sensitive and specific in pre-school and school male children with acute malnutrition. 14.9 cm of cutoff point for acute malnutrition in preschool, with 85.5% sensitivity; 74.5% specificity; for school 16 cm with 89.2% sensitivity; 80% specificity. MAC showed better predictor of acute malnutrition P/T. It is recommended to set specific cutoffs for age and sex, for the definition and classification of nutritional deficit.
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