Document Detail


Birth-weight status of newborns and its relationship with other anthropometric parameters in a public maternity hospital in Dhaka, Bangladesh.
MedLine Citation:
PMID:  12022157     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
According to the World Health Organization, birth-weight of less than 2,500 g is considered low birth-weight since below this value birth-specific infant mortality begins to rise rapidly. In Bangladesh, the prevalence of low birth-weight is unacceptably high. To screen low-birth-weight babies, simple anthropometric parameters can be used in rural areas where 80-90% of deliveries take place. A sample of 316 newborn singleton babies were studied in a government maternity hospital in Dhaka city to examine the birth-weight status of newborns and to identity the relationship between birth-weight and other anthropometric parameters of newborns. The mean birth-weight was 2,889 +/- 468 g, and 15.18% were low-birth-weight (<2,500 g) babies. All key anthropometric parameters of the newborns significantly correlated with one another (p<0.001). The best cut-offs for detecting low-birth-weight and normal-weight babies were <10 cm (odds ratio=17.4), <30.5 cm (odds ratio=25.0) and <33 cm (odds ratio=19.4), respectively, for mid-upper arm circumference (MUAC), chest circumference, and head circumference. The sensitivity and specificity were best for chest circumference (83.3% and 83.6% respectively). At lower cut-off points of <9 cm, <29.5 cm, and <32 cm, respectively, for MUAC, chest circumference, and head circumference, high-risk babies could be identified with a minimum number of false-positive cases. Chest circumference was the best detector of birth-weight with a correlation-coefficient of just above 0.84, followed by MUAC with a correlation-coefficient of just below 0.84. Based on the findings of the study, it is recommended to use <29.5 and 29.5 to <30.5 cm for chest circumference to identify 'high-risk' and 'at high-risk' newborns respectively.
Authors:
Bishnupada Dhar; Golam Mowlah; Shamsun Nahar; Nazrul Islam
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of health, population, and nutrition     Volume:  20     ISSN:  1606-0997     ISO Abbreviation:  J Health Popul Nutr     Publication Date:  2002 Mar 
Date Detail:
Created Date:  2002-05-22     Completed Date:  2002-08-21     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  100959228     Medline TA:  J Health Popul Nutr     Country:  Bangladesh    
Other Details:
Languages:  eng     Pagination:  36-41     Citation Subset:  IM    
Affiliation:
ESP (RH) Unit, Directorate of Family Planning, Mohammadpur, Dhaka, Bangladesh. espfp@banglanet.com
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MeSH Terms
Descriptor/Qualifier:
Anthropometry*
Bangladesh
Birth Weight / physiology*
Female
Hospitals, Maternity*
Hospitals, Public*
Humans
Infant, Newborn
Male

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