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Optimisation of children z-score calculation based on new statistical techniques
- Source :
- PLoS ONE, Vol 13, Iss 12, p e0208362 (2018), PLOS ONE, RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia, instname, PLoS ONE, Plos One, r-IIS La Fe. Repositorio Institucional de Producción Científica del Instituto de Investigación Sanitaria La Fe, PLoS One (online), 13(12):e0208362. Public Library of Science
- Publication Year :
- 2018
- Publisher :
- Public Library of Science (PLoS), 2018.
-
Abstract
- [EN] 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<<br />The study presented in this paper was developed in the context of the MyCyFAPP Project, funded by the European Union under the Grant Agreement number 643806. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
- Subjects :
- Male
Percentile
Infographics
Pediatrics
Body Mass Index
Families
Mathematical and Statistical Techniques
0302 clinical medicine
ADOLESCENTS
Statistics
Medicine and Health Sciences
030212 general & internal medicine
Child
Children
Statistical Data
Mathematics
2. Zero hunger
education.field_of_study
Multidisciplinary
Anthropometry
Mathematical model
VALUES
Mathematical Models
Nutritional status
Regression analysis
CURVES
Charts
3. Good health
Multidisciplinary Sciences
Child, Preschool
Physical Sciences
symbols
Science & Technology - Other Topics
GROWTH
Regression Analysis
Probability distribution
Medicine
ADIPOSITY
Female
Anatomy
Research Article
Statistical Distributions
Computer and Information Sciences
TECNOLOGIA DE ALIMENTOS
Science
Population
Nutritional Status
030209 endocrinology & metabolism
Standard score
Research and Analysis Methods
TECNOLOGIA ELECTRONICA
03 medical and health sciences
symbols.namesake
Humans
education
Gaussian process
Nutrition
Science & Technology
Data Visualization
Body Weight
Infant, Newborn
Infant
Biology and Life Sciences
Probability Theory
Body Height
Age Groups
People and Places
Population Groupings
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 13
- Issue :
- 12
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....fb62c9fde6969bde82f8d77c0b45646c