Anthropometric measurements in the detection of low birth weight infants in Lagos

V C Ezeaka1, M T Egri-Okwaji, J K Renner

  • 1Department of Paediatrics, College of Medicine, University of Lagos, P.M.B. 12003, Idi-Araba, Lagos.

Insights

Anthropometric measurements like occipitofrontal circumference, length, and mid-arm circumference can identify infants with low birth weight (LBW). These indicators help in early detection and care to prevent mortality and developmental issues.

Area of Science:

  • Pediatrics
  • Neonatology
  • Public Health

Background:

  • Low birth weight (LBW) is a significant risk factor for infant mortality and developmental issues.
  • Accurate and timely identification of LBW infants is crucial for effective intervention and care.
  • Existing methods for LBW detection may require further refinement for broader applicability.

Purpose of the Study:

  • To evaluate anthropometric measurements as risk indicators for detecting low birth weight (LBW) infants.
  • To establish specific anthropometric cut-off values for identifying infants with birth weights below 2500g and 2000g.
  • To assess the utility of these indicators in improving newborn screening and care.

Main Methods:

  • A prospective study involving 788 singleton live-born infants.
  • Standardized anthropometric measurements (occipitofrontal circumference, length, mid-arm circumference, maximum thigh circumference) were taken within 24 hours of birth.
  • Statistical analysis was performed to determine correlations and optimal cut-off values for LBW detection.

Main Results:

  • A significant correlation was found between birth weight and occipitofrontal circumference (OFC), length, mid-arm circumference (MAC), and maximum thigh circumference (MTC) (p < 0.001).
  • Specific cut-off values were identified: OFC (33.6/32.3 cm), length (47.7/45.5 cm), MAC (9.6/9.1 cm), and MTC (15.5/14.9 cm) for <2500g and <2000g birth weights, respectively.
  • These anthropometric indicators demonstrated good sensitivity, specificity, and predictive values for LBW detection.

Conclusions:

  • Anthropometric measurements serve as valuable and accessible risk indicators for identifying LBW infants.
  • The established cut-off values can aid healthcare providers in early detection and targeted interventions.
  • Utilizing these indicators can contribute to reducing infant mortality and preventing postnatal developmental retardation.

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