Exploring the Relationship Between Mid-Arm and Chest CircumferenceMeasurements and Neonatal Weight for Early Identification of Low BirthWeight Infants

Background: Low birth weight (LBW), defined as a weight of less than 2500 grams at birth, poses a substantialrisk for infant mortality and morbidity, as well as long-term adverse health outcomes. Early identification andsubsequent management of LBW are critical, especially in developing countries where resources are limited andhealthcare challenges are significant. Traditional methods for identifying LBW babies can be impractical in sce-narios lacking immediate and precise weighing mechanisms. This study proposes the use of mid-arm circumfer-ence (MAC) and chest circumference (CC) as potentially reliable indicators for early detection of LBW infants,which could be particularly useful in resource-constrained environments.Objectives: The primary aim of this research is to explore the efficacy of MAC and CC measurements takenwithin the first 24 hours of life as predictive tools for determining LBW in neonates. This study seeks to establishstatistically significant correlations between these anthropometric measurements and actual birth weights, therebyproviding a basis for developing a simple, rapid, and cost-effective screening tool to identify LBW babies soonafter birth.Methods: This prospective cohort study was conducted at Department of Darbhanga Medical College and Hos-pital for six months involved a sample of 120 neonates born , MAC and CC were measured for each newbornwithin 24 hours of delivery using standardized anthropometric techniques and equipment. Birth weight was rec-orded using a calibrated neonatal weighing scale. The study utilized multiple linear regression models to analyzethe relationship between the circumferences and birth weight, adjusting for confounders such as gestational age,sex of the newborn, and maternal health factors.Results: It is anticipated that the study will demonstrate a strong positive correlation between the measurementsof MAC and CC and the neonatal weight, with higher circumferences being indicative of higher birth weights.The regression analysis will help refine the predictive model by quantifying the strength of the association andadjusting for possible confounders. This will include calculating sensitivity, specificity, positive predictive value,and negative predictive value of MAC and CC measurements in predicting LBW.Conclusion: Should the correlations be statistically significant and strong, MAC and CC could be validated aspractical, non-invasive screening tools for early detection of LBW in neonates. This would be especially beneficialin settings where traditional weighing scales are unavailable or impractical to use immediately after birth. Imple-menting such a screening tool could lead to quicker and more efficient neonatal care interventions, ultimatelyimproving survival rates and health outcomes for LBW infants.