Literature DB >> 7639558

Conditional reference charts to assess weight gain in British infants.

T J Cole1.   

Abstract

Growth monitoring in infancy is a useful tool for detecting growth disorders and failure to thrive. However, current weight charts do not monitor growth as such, they only identify infants whose weight centile is low and/or falling. A reference of conditional weight gain is described which compares an infant's current weight with that predicted from their previous weight, allowing for the fact that on average, light infants tend to grow faster than heavier infants. The reference, which expresses conditional weight gain as an SD score of centile, is based on the UK 1990 weight reference supplemented with correlation data on 223 infants from the Cambridge Infant Growth Study measured regularly between 4 weeks and 2 years of age. The reference is validated with data on 727 infants from the Newcastle Regional Health Authority database. The conditional reference provides a valid assessment of the weight gain of British infants, over time periods of four or more weeks, throughout the first two years of life.

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Year:  1995        PMID: 7639558      PMCID: PMC1511152          DOI: 10.1136/adc.73.1.8

Source DB:  PubMed          Journal:  Arch Dis Child        ISSN: 0003-9888            Impact factor:   3.791


  16 in total

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Journal:  Ann Hum Biol       Date:  1974-01       Impact factor: 1.533

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Journal:  Acta Paediatr Scand Suppl       Date:  1989

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Journal:  Acta Paediatr Scand       Date:  1984-07

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Journal:  Arch Dis Child       Date:  1985-11       Impact factor: 3.791

6.  Comparison of the use of Tanner and Whitehouse, NCHS, and Cambridge standards in infancy.

Authors:  C M Wright; A Waterston; A Aynsley-Green
Journal:  Arch Dis Child       Date:  1993-10       Impact factor: 3.791

7.  Saltation and stasis: a model of human growth.

Authors:  M Lampl; J D Veldhuis; M L Johnson
Journal:  Science       Date:  1992-10-30       Impact factor: 47.728

8.  Smoothing reference centile curves: the LMS method and penalized likelihood.

Authors:  T J Cole; P J Green
Journal:  Stat Med       Date:  1992-07       Impact factor: 2.373

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Authors:  C S Berkey; R B Reed; I Valadian
Journal:  Ann Hum Biol       Date:  1983 Jan-Feb       Impact factor: 1.533

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Authors:  K Borysławski
Journal:  Ann Hum Biol       Date:  1988 May-Jun       Impact factor: 1.533

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  46 in total

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Authors:  C M Wright; K N Parkinson; R F Drewett
Journal:  Arch Dis Child       Date:  2006-01-05       Impact factor: 3.791

Review 2.  What is the long term outcome for children who fail to thrive? A systematic review.

Authors:  M C J Rudolf; S Logan
Journal:  Arch Dis Child       Date:  2005-05-12       Impact factor: 3.791

Review 3.  Confusing terminology attempts to define the undefinable.

Authors:  I Hughes
Journal:  Arch Dis Child       Date:  2007-02       Impact factor: 3.791

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Authors:  V Carson; R L Rinaldi; B Torrance; K Maximova; G D C Ball; S R Majumdar; R C Plotnikoff; P Veugelers; N G Boulé; P Wozny; L McCargar; S Downs; C Daymont; R Lewanczuk; J McGavock
Journal:  Int J Obes (Lond)       Date:  2013-07-26       Impact factor: 5.095

5.  Longitudinal changes in BMI z-scores among 45 414 2-4-year olds with severe obesity.

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Journal:  Ann Hum Biol       Date:  2017-10-30       Impact factor: 1.533

6.  Patterns of Gestational Weight Gain in Early Pregnancy and Risk of Gestational Diabetes Mellitus.

Authors:  Sarah C MacDonald; Lisa M Bodnar; Katherine P Himes; Jennifer A Hutcheon
Journal:  Epidemiology       Date:  2017-05       Impact factor: 4.822

7.  New chart to evaluate weight faltering.

Authors:  C Wright; A Avery; M Epstein; E Birks; D Croft
Journal:  Arch Dis Child       Date:  1998-01       Impact factor: 3.791

8.  Function of infant-directed speech.

Authors:  M Monnot
Journal:  Hum Nat       Date:  1999-12

9.  Failure to thrive: the prevalence and concurrence of anthropometric criteria in a general infant population.

Authors:  E M Olsen; J Petersen; A M Skovgaard; B Weile; T Jørgensen; C M Wright
Journal:  Arch Dis Child       Date:  2006-03-10       Impact factor: 3.791

10.  Genetic markers of adult obesity risk are associated with greater early infancy weight gain and growth.

Authors:  Cathy E Elks; Ruth J F Loos; Stephen J Sharp; Claudia Langenberg; Susan M Ring; Nicholas J Timpson; Andrew R Ness; George Davey Smith; David B Dunger; Nicholas J Wareham; Ken K Ong
Journal:  PLoS Med       Date:  2010-05-25       Impact factor: 11.069

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