Abstract

BackgroundLow birth weight (Birth weight < 2500 g) is a leading cause of prenatal and neonatal deaths. The early identification of Low birth weight (LBW) neonates is essential for any comprehensive initiative to improve their chance of survival. However, a large proportion of births in developing countries take place at home and birth weight statistics are not available. Therefore, there is a need to develop simple, inexpensive and practical methods to identify low birth weight (LBW) neonates soon after birth.MethodsThis is a hospital based cross sectional study. Four hundred twenty two (422) live born neonates were included and anthropometric measurements were carried out within 24 h of birth by three trained nurses. Birth weight was measured by digital scale. Head and chest circumference were measured by using non extendable measuring tape and foot length with hard transparent plastic ruler. Data was entered into SPSS version 20 for analysis. Characteristics of study participants were analyzed using descriptive statistics such as frequency and percentage for categorical data and mean and standard deviation for continuous data. Correlation with birth weight using Pearson’s correlation coefficient and linear regression were used to identify the association between dependent and independent variables. Receiver operating characteristic (ROC) curve was used to evaluate accuracy of the anthropometric measurements to predict LBW.ResultsThe prevalence of low birth weight was found to be 27%. All anthropometric measurements had a positive correlation with birth weight, chest circumference attaining the highest correlation with birth weight (r = 0.85) and foot length had the weakest correlation (r = 0.74). Head circumference had the highest predictive value for birth weight (AUC = 0.93) followed by Chest circumference (AUC = 0.91). A cut off point of chest circumference 30.15 cm had 84.2% sensitivity, 85.4% specificity and diagnostic accuracy (P < 0.001). A cut off point of head circumference 33.25 had the highest positive predictive value (77%).ConclusionChest circumference and head circumference were found to be better surrogate measurements to identify low birth weight neonates.

Highlights

  • Low birth weight (Birth weight < 2500 g) is a leading cause of prenatal and neonatal deaths

  • This study aims to find a better surrogate anthropometric measurement to detect low birth weight (LBW) neonates and will be a supplement to the previously done studies

  • Study setting The study was conducted in Ayder Referral hospital (ARH), which is located in Mekelle city, Tigray region, north Ethiopia which is found at 783 km from Addis Ababa, the capital city of Ethiopia

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Summary

Introduction

Low birth weight (Birth weight < 2500 g) is a leading cause of prenatal and neonatal deaths. There is a need to develop simple, inexpensive and practical methods to identify low birth weight (LBW) neonates soon after birth. According to the World Health Organization (WHO) definition, neonates with birth weights of less than 2500g are classified as low birth weight (LBW) regardless of gestational age. One sixth of neonates are born low birth weight (LBW,

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