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Harsukh Educational Charitable Society International Journal of Community Health and Medical Research

Volume 3 Issue 4 Oct - DEC 2017

Original Articles

Prediction Of Birth Weight By Regression Equations
Mandeep Kaur

Abstract Introduction: The high neonatal morbidity and mortality rates attest to the fragility of life during this period. In the United States, of all the deaths occurring in the first year, two thirds are in the neonatal period. Methods: One hundred fifty newborns examined within 48 hours of their birth in the Department of Obstetrics and Gynecology/ Pediatrics at Guru Gobind Singh Medical College and Hospital, Faridkot. They were weighed naked on electronic weighing scale to the nearest of 5 grams and all anthropometric measurements taken by a fiber glass measuring tape to the nearest of 0.1 cm. Results: The present study is an attempt to isolate by a multiple regression analysis some factors probably influencing the birth weight and to utilize the results of the analysis for statistical prediction of birth weight at different gestational ages for various combinations of factors. Conclusion: One method is not significantly better than the other, when accuracy in prediction aimed, it is better to use the two methods and compare the results, and then decide on the selection of favorable method. Keywords: Low birth weight, regression equations, prediction

 
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