| Correlation between anthropometric measures and birthweight of infants: value in measuring actual birthweight. | |
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MedLine Citation:
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PMID: 18302075 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Birthweight (BW) is an important predictor of newborn morbidity and mortality. In Africa, infant mortality is very high mainly due to low birthweight (LBW). Most deliveries occur at home where scales are not always available. The aim of this study was to find a simple formula to predict birthweight using anthropometric measurements. In 1000 singleton Sudanese newborns, anthropometric measurements were taken within 24 hours of birth. Multiple regression analysis with backward selection was used to analyze data. The mean (standard deviation) of BW was 3131.7 (538.9) g and that of gestational age was 39.1 (1.8) weeks. All anthropometric parameters were strongly correlated with BW ( P < 0.001). The highest correlations were obtained with chest (CC), midthigh (MT), and head circumferences (HC). Using these three parameters, a simple formula was obtained to predict BW as follows: BW(g) = 97*CC + 74*MT + 85*HC - 4000 with a standard error of 285 g. For birthweights < 2000 g, specificity is near 100% and the sensitivity is > 80%. Applying a cutoff point of 2500 g, all infants (100%) with a birthweight < 2000 g are correctly identified. Our model by allowing for actual measurement of BW will enable the health worker in developing countries to select appropriate LBW infants for referral to an equipped health facility. |
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Authors:
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Eltahir M Elshibly; Gerd Schmalisch |
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Publication Detail:
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Type: Journal Article Date: 2008-02-26 |
Journal Detail:
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Title: American journal of perinatology Volume: 25 ISSN: 0735-1631 ISO Abbreviation: Am J Perinatol Publication Date: 2008 Mar |
Date Detail:
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Created Date: 2008-03-17 Completed Date: 2008-06-26 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8405212 Medline TA: Am J Perinatol Country: United States |
Other Details:
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Languages: eng Pagination: 135-9 Citation Subset: IM |
Affiliation:
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Departments of Paediatrics and Child Health, University of Khartoum, Sudan. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adolescent Adult Anthropometry / methods* Birth Weight* Body Weights and Measures / statistics & numerical data Female Gestational Age Head / growth & development Humans Infant, Newborn Logistic Models Male Middle Aged Models, Biological* Predictive Value of Tests Pregnancy Thigh / growth & development Thorax / growth & development |
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