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Optimisation of children z-score calculation based on new statistical techniques

Author

Listed:
  • Antonio Martinez-Millana
  • Jessie M Hulst
  • Mieke Boon
  • Peter Witters
  • Carlos Fernandez-Llatas
  • Ines Asseiceira
  • Joaquin Calvo-Lerma
  • Ignacio Basagoiti
  • Vicente Traver
  • Kris De Boeck
  • Carmen Ribes-Koninckx

Abstract

Background: Expressing anthropometric parameters (height, weight, BMI) as z-score is a key principle in the clinical assessment of children and adolescents. The Centre for Disease Control and Prevention (CDC) growth charts and the CDC-LMS method for z-score calculation are widely used to assess growth and nutritional status, though they can be imprecise in some percentiles. Objective: To improve the accuracy of z-score calculation by revising the statistical method using the original data used to develop current z-score calculators. Design: A Gaussian Process Regressions (GPR) was designed and internally validated. Z-scores for weight-for-age (WFA), height-for-age (HFA) and BMI-for-age (BMIFA) were compared with WHO and CDC-LMS methods in 1) standard z-score cut-off points, 2) simulated population of 3000 children and 3) real observations 212 children aged 2 to 18 yo. Results: GPR yielded more accurate calculation of z-scores for standard cut-off points (p

Suggested Citation

  • Antonio Martinez-Millana & Jessie M Hulst & Mieke Boon & Peter Witters & Carlos Fernandez-Llatas & Ines Asseiceira & Joaquin Calvo-Lerma & Ignacio Basagoiti & Vicente Traver & Kris De Boeck & Carmen R, 2018. "Optimisation of children z-score calculation based on new statistical techniques," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-13, December.
  • Handle: RePEc:plo:pone00:0208362
    DOI: 10.1371/journal.pone.0208362
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    Cited by:

    1. Qianling Tian & Xiao Gao & Tingting Sha & Qiong He & Gang Cheng & Xialing Wu & Fan Yang & Xihong Wu & Cai Tang & Qunhui Xie & Yan Yan, 2019. "Differences between WHO Growth Standards and China Growth Standards in Assessing the Nutritional Status of Children Aged 0–36 Months Old," IJERPH, MDPI, vol. 17(1), pages 1-13, December.

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