Document Detail

Mid arm circumference (MAC) and body mass index (BMI)--the two important auxologic parameters in neonates.
MedLine Citation:
PMID:  16735365     Owner:  NLM     Status:  MEDLINE    
Even though birth weight is the most sensitive predictor of health and outcome, accurate weighing and proper recording are not done in most developing countries. Most neonates lose 10% of body weight soon after birth and when such babies subsequently come for medical care, it becomes difficult to know whether the baby was low birth weight (LBW) at birth or not, to predict the outcome. Among the many surrogate auxologic parameters to identify LBW babies, mid arm circumference (MAC) was found to be the most useful and simplest. At a cut off of 9 cm, with a sensitivity of 92% and a specificity of 90.5% to identify LBW, MAC is recommended as an alternative measurement. Ponderal index is measured in neonatal period to identify growth retardation. Body mass index (BMI) is a very useful index in children and adults to identify obesity/chronic energy deficiency (CED). Tracking of BMI from neonatal period to adulthood is recommended to plan intervention and predict outcome. The mean BMI observed in the present study was 12.86 kg/m2 close to the expected of 13.
R Bindu Nair; K E Elizabeth; S Geetha; Sarath Varghese
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Publication Detail:
Type:  Journal Article     Date:  2006-05-30
Journal Detail:
Title:  Journal of tropical pediatrics     Volume:  52     ISSN:  0142-6338     ISO Abbreviation:  J. Trop. Pediatr.     Publication Date:  2006 Oct 
Date Detail:
Created Date:  2006-09-29     Completed Date:  2007-11-06     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8010948     Medline TA:  J Trop Pediatr     Country:  England    
Other Details:
Languages:  eng     Pagination:  341-5     Citation Subset:  IM    
Department of Pediatrics, SAT Hospital for Women and Children, Government Medical College, Thiruvanathapuram - 695 011, Kerala, India.
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MeSH Terms
Birth Weight
Body Mass Index*
Cross-Sectional Studies
Developing Countries
Infant, Newborn
Predictive Value of Tests
Sensitivity and Specificity

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