z-logo
open-access-imgOpen Access
Relationship between maternal anthropometry and birth weight in a Sri Lankan cohort of term neonates
Author(s) -
Damitha Asanga Gunawardane,
Samath D Dharmaratne,
Dhammica Rowel
Publication year - 2018
Publication title -
sri lanka journal of medicine
Language(s) - English
Resource type - Journals
ISSN - 2579-1990
DOI - 10.4038/sljm.v26i2.35
Subject(s) - sri lanka , anthropometry , cohort , medicine , family medicine , medical journal , term (time) , library science , history , south asia , ancient history , computer science , physics , quantum mechanics
Background: Birth weight (BW) of new born babies is the main proxy measure used by the healthcare providers and planners to measure foetal wellbeing. Further, it is strongly associated with the babies’ risk of mortality, and health later in life. Among many other factors, maternal anthropometry plays a crucial role in determining the neonatal BW. Objectives: The aim of this study was to assess the relationship of maternal pre-pregnancy weight, height, Body Mass Index (BMI), Gestational Weight Gain (GWG) and neonatal BW in a cohort of Sri Lankanterm neonates. Methods: This is a correlation study based on the data reported in a prospective study done at Teaching Hospital (TH) Kandy, to explore the neonatal outcomes at term. The study included 688 mother-newborn pairs with term neonates delivered at TH Kandy between February and May 2017. Results: In the correlation testing between maternal anthropometric measurements and neonatal BW,all maternal anthropometric measurements considered in the study had significant positive correlation with neonatal birth weight (P Conclusion: Maternal prepregnancy weight, maternal height, maternal BMI and GWG were significantly associated with neonatal birth weight at term. However, maternal prepregnancy weight was the best predictor of term neonatal BW in Sri Lanka.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom