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

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 popul

SUBMITTER: Martinez-Millana A 

PROVIDER: S-EPMC6301782 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature