Literature DB >> 30333072

Weight estimation among multi-racial/ethnic infants and children aged 0-5·9 years in the USA: simple tools for a critical measure.

Yeyi Zhu1, Ladia M Hernandez2, Yongquan Dong2, John H Himes3, Laura E Caulfield4, Jean M Kerver5, Lenore Arab6, Paula Voss7, Steven Hirschfeld8, Michele R Forman2.   

Abstract

OBJECTIVE: In resource-constrained facilities or during resuscitation, immediate paediatric weight estimation remains a fundamental challenge. We aimed to develop and validate weight estimation models based on ulna length and forearm width and circumference measured by simple and portable tools; and to compare them against previous methods (advanced paediatric life support (APLS), Theron and Traub-Johnson formulas).
DESIGN: Cross-sectional analysis of anthropometric measurements. Four ulna- and forearm-based weight estimation models were developed in the training set (n 1016). Assessment of bias, precision and accuracy was examined in the validation set (n 457).
SETTING: National Children's Study-Formative Research in Anthropometry (2011-2012).
SUBJECTS: Multi-racial/ethnic infants and children aged <6 years (n 1473).
RESULTS: Developed Models 1-4 had high predictive precision (R 2=0·91-0·97). Mean percentage errors between predicted and measured weight were significantly smaller across the developed models (0·1-0·7 %) v. the APLS, Theron and Traub-Johnson formulas (-1·7, 9·2 and -4·9 %, respectively). Root-mean-squared percentage error was overall smaller among Models 1-4 v. the three existing methods (range=7·5-8·7 v. 9·8-13·3 %). Further, Models 1-4 were within 10 and 20 % of actual weight in 72-87 and 95-99 % of the weight estimations, respectively, which outperformed any of the three existing methods.
CONCLUSIONS: Ulna length, forearm width and forearm circumference by simple and portable tools could serve as valid and reliable surrogate measures of weight among infants and children aged <6 years with improved precision over the existing age- or length-based methods. Further validation of these models in physically impaired or non-ambulatory children is warranted.

Entities:  

Keywords:  Anthropometric measure; Estimation; Forearm; Paediatric weight; Ulna

Mesh:

Year:  2018        PMID: 30333072      PMCID: PMC6312489          DOI: 10.1017/S1368980018002549

Source DB:  PubMed          Journal:  Public Health Nutr        ISSN: 1368-9800            Impact factor:   4.022


  30 in total

1.  Mid-arm circumference can be used to estimate children's weights.

Authors:  G N Cattermole; P Y M Leung; P S K Mak; C A Graham; T H Rainer
Journal:  Resuscitation       Date:  2010-09       Impact factor: 5.262

2.  Finger counting: an alternative method for estimating pediatric weights.

Authors:  Timothy P Young; Brian G Chen; Tommy Y Kim; Andrea W Thorp; Lance Brown
Journal:  Am J Emerg Med       Date:  2013-11-26       Impact factor: 2.469

3.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

4.  Reliability and accuracy of templating humeral and ulnar components for total elbow arthroplasty.

Authors:  Nick D Pappas; Jeffry T Watson; John M Erickson; Keith D Baldwin; Donald H Lee
Journal:  Am J Orthop (Belle Mead NJ)       Date:  2013-07

5.  The dual burden household and the nutrition transition paradox.

Authors:  C M Doak; L S Adair; M Bentley; C Monteiro; B M Popkin
Journal:  Int J Obes (Lond)       Date:  2005-01       Impact factor: 5.095

6.  Can undergraduate paramedic and nursing students accurately estimate patient age and weight?

Authors:  Brett Williams; Malcolm Boyle; Pete O'Meara
Journal:  Prehosp Disaster Med       Date:  2010 Mar-Apr       Impact factor: 2.040

7.  2000 CDC Growth Charts for the United States: methods and development.

Authors:  Robert J Kuczmarski; Cynthia L Ogden; Shumei S Guo; Laurence M Grummer-Strawn; Katherine M Flegal; Zuguo Mei; Rong Wei; Lester R Curtin; Alex F Roche; Clifford L Johnson
Journal:  Vital Health Stat 11       Date:  2002-05

8.  Analysis of parental and nurse weight estimates of children in the pediatric emergency department.

Authors:  Rebecca L Partridge; Thomas J Abramo; Karen A Haggarty; Richard Hearn; Kimberly L Sutton; Angel Q An; Timothy G Givens
Journal:  Pediatr Emerg Care       Date:  2009-12       Impact factor: 1.454

9.  Prevalence of childhood and adult obesity in the United States, 2011-2012.

Authors:  Cynthia L Ogden; Margaret D Carroll; Brian K Kit; Katherine M Flegal
Journal:  JAMA       Date:  2014-02-26       Impact factor: 56.272

10.  Comparison of methods of estimating creatinine clearance in children.

Authors:  S L Traub; C E Johnson
Journal:  Am J Hosp Pharm       Date:  1980-02
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  2 in total

1.  The National Children's Study Archive Model: A 3-Tier Framework for Dissemination of Data and Specimens for General Use and Secondary Analysis.

Authors:  Peter K Gilbertson; Susan Forrester; Linda Andrews; Kathleen McCann; Lydia Rogers; Christina Park; Jack Moye
Journal:  Front Public Health       Date:  2021-03-05

2.  Shapley-Additive-Explanations-Based Factor Analysis for Dengue Severity Prediction using Machine Learning.

Authors:  Shihab Uddin Chowdhury; Sanjana Sayeed; Iktisad Rashid; Md Golam Rabiul Alam; Abdul Kadar Muhammad Masum; M Ali Akber Dewan
Journal:  J Imaging       Date:  2022-08-26
  2 in total

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