Literature DB >> 8490977

Use of a simple anthropometric measurement to predict birth weight. WHO Collaborative Study of Birth Weight Surrogates.

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Abstract

Low-birth-weight babies are most at risk of infant mortality. Unfortunately, in many developing countries it is not possible to weigh babies accurately because of the lack of robust scales. This article describes the results of a WHO Collaborative Study to investigate whether birth weight can be predicted accurately using chest circumference and/or arm circumference. The implications of the results for paediatric practice in developing countries are discussed.

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Year:  1993        PMID: 8490977      PMCID: PMC2393454     

Source DB:  PubMed          Journal:  Bull World Health Organ        ISSN: 0042-9686            Impact factor:   9.408


  2 in total

1.  The relationship between arm circumference at birth and early mortality.

Authors:  M V De Vaquera; J W Townsend; J J Arroyo; A Lechtig
Journal:  J Trop Pediatr       Date:  1983-06       Impact factor: 1.165

2.  The arm circumference at birth and its relations to other anthropomeric parameters.

Authors:  M Gueri; P Justum; P Knight; V Hinds
Journal:  Arch Latinoam Nutr       Date:  1977-09
  2 in total
  13 in total

1.  A low cost, colour coded, hand held spring scale accurately categorises birth weight in low resource settings.

Authors:  L C Mullany; G L Darmstadt; P Coffey; S K Khatry; S C LeClerq; J M Tielsch
Journal:  Arch Dis Child       Date:  2006-02-07       Impact factor: 3.791

2.  Relationship between the surrogate anthropometric measures, foot length and chest circumference and birth weight among newborns of Sarlahi, Nepal.

Authors:  L C Mullany; G L Darmstadt; S K Khatry; S C Leclerq; J M Tielsch
Journal:  Eur J Clin Nutr       Date:  2006-08-02       Impact factor: 4.016

3.  Approaching the diagnosis of growth-restricted neonates: a cohort study.

Authors:  Popi Sifianou
Journal:  BMC Pregnancy Childbirth       Date:  2010-02-01       Impact factor: 3.007

4.  Prediction of Birth Weight by Using Neonatal Anthropometric Parameters at Birth in Finote Selam Hospital, Ethiopia.

Authors:  Chalachew Tiruneh; Daniel Teshome
Journal:  Pediatric Health Med Ther       Date:  2021-06-01

5.  Chest and occipito-frontal circumference measurements in the detection of low birth weight among Nigerian newborns of Igbo ethnicity.

Authors:  Ikenna K Ndu; Stella N Ibeziako; Egbuna O Obidike; Gilbert N Adimora; Benedict O Edelu; Josephat M Chinawa; Isaac N Asinobi; Nwachinemere D Uleanya
Journal:  Ital J Pediatr       Date:  2014-10-28       Impact factor: 2.638

6.  Anthropometric surrogates to identify low birth weight Nepalese newborns: a hospital-based study.

Authors:  Chandrashekhar T Sreeramareddy; Neena Chuni; Rajkumar Patil; Dela Singh; Brishna Shakya
Journal:  BMC Pediatr       Date:  2008-04-25       Impact factor: 2.125

7.  Anthropometric measurements: options for identifying low birth weight newborns in Kumasi, Ghana.

Authors:  Easmon Otupiri; Priscilla Wobil; Samuel Blay Nguah; Michelle J Hindin
Journal:  PLoS One       Date:  2014-09-16       Impact factor: 3.240

8.  Relationships between neonatal weight, limb lengths, skinfold thicknesses, body breadths and circumferences in an Australian cohort.

Authors:  Emma Pomeroy; Jay T Stock; Tim J Cole; Michael O'Callaghan; Jonathan C K Wells
Journal:  PLoS One       Date:  2014-08-27       Impact factor: 3.240

9.  Foot Length, Chest Circumference, and Mid Upper Arm Circumference Are Good Predictors of Low Birth Weight and Prematurity in Ethnic Minority Newborns in Vietnam: A Hospital-Based Observational Study.

Authors:  Hai Nguyen Thi; Dung Khu Thi Khanh; Ha Le Thi Thu; Emma G Thomas; Katherine J Lee; Fiona M Russell
Journal:  PLoS One       Date:  2015-11-10       Impact factor: 3.240

10.  Foot length, chest and head circumference measurements in detection of Low birth weight neonates in Mekelle, Ethiopia: a hospital based cross sectional study.

Authors:  Marta Yemane Hadush; Amanuel Hadgu Berhe; Araya Abrha Medhanyie
Journal:  BMC Pediatr       Date:  2017-04-21       Impact factor: 2.125

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