{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Martinez-Millana A"],"funding":["H2020 Health"],"pagination":["e0208362"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6301782"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["13(12)"],"pubmed_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"],"journal":["PloS one"],"pubmed_title":["Optimisation of children z-score calculation based on new statistical techniques."],"pmcid":["PMC6301782"],"funding_grant_id":["643806"],"pubmed_authors":["Hulst JM","Basagoiti I","Witters P","Ribes-Koninckx C","Asseiceira I","Fernandez-Llatas C","De Boeck K","Boon M","Martinez-Millana A","Traver V","Calvo-Lerma J"],"additional_accession":[]},"is_claimable":false,"name":"Optimisation of children z-score calculation based on new statistical techniques.","description":"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","dates":{"release":"2018-01-01T00:00:00Z","publication":"2018","modification":"2025-04-29T11:08:07.013Z","creation":"2019-03-26T22:34:37Z"},"accession":"S-EPMC6301782","cross_references":{"pubmed":["30571681"],"doi":["10.1371/journal.pone.0208362"]}}