Mid arm circumference (MAC) and body mass index (BMI)--the two important auxologic parameters in neonates

R Bindu Nair1, K E Elizabeth, S Geetha

  • 1Department of Pediatrics, SAT Hospital for Women and Children, Government Medical College, Thiruvanathapuram - 695 011, Kerala, India.

Insights

Accurate birth weight measurement is crucial but often lacking in developing nations. Mid-arm circumference (MAC) is a simple, effective alternative for identifying low birth weight (LBW) neonates.

Area of Science:

  • Neonatal health
  • Pediatric anthropometry
  • Public health in developing countries

Background:

  • Accurate birth weight is a key health predictor, but often unrecorded in developing countries.
  • Neonatal weight loss complicates assessment of low birth weight (LBW) status.
  • Simple anthropometric measures are needed to identify LBW neonates retrospectively.

Purpose of the Study:

  • To evaluate surrogate anthropometric parameters for identifying low birth weight (LBW) neonates.
  • To assess the utility of mid-arm circumference (MAC) as a predictor of LBW.
  • To recommend a practical method for LBW identification in resource-limited settings.

Main Methods:

  • Review of auxologic parameters for neonatal assessment.
  • Evaluation of mid-arm circumference (MAC) as a surrogate for birth weight.
  • Analysis of sensitivity and specificity for MAC at a 9 cm cutoff.

Main Results:

  • Mid-arm circumference (MAC) is identified as the most useful and simplest surrogate for LBW.
  • A MAC cutoff of 9 cm demonstrated 92% sensitivity and 90.5% specificity for LBW identification.
  • Ponderal index and Body Mass Index (BMI) are noted for growth retardation and obesity/CED assessment, respectively.

Conclusions:

  • Mid-arm circumference (MAC) is a recommended, reliable alternative for identifying low birth weight (LBW) neonates where accurate weighing is unavailable.
  • Tracking Body Mass Index (BMI) from neonatal period to adulthood is advised for intervention planning and outcome prediction.
  • Improved anthropometric assessment in neonates is vital for predicting long-term health outcomes.

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