Construct validity of a continuous metabolic syndrome score in children
dc.contributor.author | Eisenmann, Joey C. | en_US |
dc.contributor.author | Laurson, Kelly R. | en_US |
dc.contributor.author | DuBose, Katrina D. | en_US |
dc.contributor.author | Smith, Bryan K. | en_US |
dc.contributor.author | Donnelly, Joseph E. | en_US |
dc.date.accessioned | 2011-02-28T19:50:13Z | en_US |
dc.date.accessioned | 2011-05-16T20:40:50Z | |
dc.date.available | 2011-02-28T19:50:13Z | en_US |
dc.date.available | 2011-05-16T20:40:50Z | |
dc.date.issued | 2010-01-28 | en_US |
dc.description.abstract | Objective: The primary purpose of this study was to examine the construct validity of a continuous metabolic syndrome score (cMetS) in children. The secondary purpose was to identify a cutpoint value(s) for an adverse cMetS based on receiver operating characteristic (ROC) curve analysis. Methods: 378 children aged 7 to 9 years were assessed for the metabolic syndrome which was determined by age-modified cutpoints. High-density-lipoprotein cholesterol, triglycerides, the homeostasis assessment model of insulin resistance, mean arterial pressure, and waist circumference were used to create a cMetS for each subject. Results: About half of the subjects did not possess any risk factors while about 5% possessed the metabolic syndrome. There was a graded relationship between the cMetS and the number of adverse risk factors. The cMetS was lowest in the group with no adverse risk factors (-1.59 ± 1.76) and highest in those possessing the metabolic syndrome (≥3 risk factors) (7.05 ± 2.73). The cutoff level yielding the maximal sensitivity and specificity for predicting the presence of the metabolic syndrome was a cMetS of 3.72 (sensitivity = 100%, specificity = 93.9%, and the area of the curve = 0.978 (0.957-0.990, 95% confidence intervals). Conclusion: The results demonstrate the construct validity for the cMetS in children. Since there are several drawbacks to identifying a single cut-point value for the cMetS based on this sample, we urge researchers to use the approach herein to validate and create a cMetS that is specific to their study population. Originally published Diabetology and Metabolic Syndrome, Vol. 2, No. 8, Jan 2010 | en_US |
dc.identifier.citation | Diabetology and Metabolic Syndrome; 2:1 p. 8 | en_US |
dc.identifier.doi | 10.1186/1758-5996-2-8 | |
dc.identifier.pmid | PMC2830968 | en_US |
dc.identifier.uri | http://hdl.handle.net/10342/3256 | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | East Carolina University | en_US |
dc.relation.uri | http://www.dmsjournal.com/content/2/1/8 | en_US |
dc.rights | Author notified of opt-out rights by Cammie Jennings. | en_US |
dc.subject | Metabolic syndrome | en_US |
dc.subject | Construct validity | en_US |
dc.subject | Cutpoint values | en_US |
dc.subject | Children | en_US |
dc.title | Construct validity of a continuous metabolic syndrome score in children | en_US |
dc.type | Article | en_US |
ecu.journal.issue | 1 | |
ecu.journal.name | Diabetology and Metabolic Syndrome | |
ecu.journal.pages | 8 | |
ecu.journal.volume | 2 |
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