Emily Hill Guseman1, Joey C Eisenmann2, Kelly R Laurson3, Stephen R Cook4, William Stratbucker5. 1. Helen DeVos Children's Hospital Health Weight Center, Grand Rapids, Mich; Department of Kinesiology, Michigan State University, East Lansing, Mich; Diabetes Institute, Ohio University, Athens, Ohio; Department of Family Medicine, Heritage College of Osteopathic Medicine, Ohio University, Athens, Ohio. Electronic address: gusemane@ohio.edu. 2. Helen DeVos Children's Hospital Health Weight Center, Grand Rapids, Mich; Department of Pediatrics, Michigan State University, East Lansing, Mich; USA Football, Indianapolis, Ind. 3. llinois State University, School of Kinesiology and Recreation, Normal, Ill. 4. Department of Pediatrics, Division of General Pediatrics and Strong Children's Research Center, University of Rochester School of Medicine and Dentistry, Rochester, NY. 5. Helen DeVos Children's Hospital Health Weight Center, Grand Rapids, Mich; Department of Pediatrics, Michigan State University, East Lansing, Mich.
Abstract
OBJECTIVE: The prevalence of metabolic syndrome in youth varies on the basis of the classification system used, prompting implementation of continuous scores; however, the use of these scores is limited to the sample from which they were derived. We sought to describe the derivation of the continuous metabolic syndrome score using nationally representative reference values in a sample of obese adolescents and a national sample obtained from National Health and Nutrition Examination Survey (NHANES) 2011-2012. METHODS: Clinical data were collected from 50 adolescents seeking obesity treatment at a stage 3 weight management center. A second analysis relied on data from adolescents included in NHANES 2011-2012, performed for illustrative purposes. The continuous metabolic syndrome score was calculated by regressing individual values onto nationally representative age- and sex-specific standards (NHANES III). Resultant z scores were summed to create a total score. RESULTS: The final sample included 42 obese adolescents (15 male and 35 female subjects; mean age, 14.8 ± 1.9 years) and an additional 445 participants from NHANES 2011-2012. Among the clinical sample, the mean continuous metabolic syndrome score was 4.16 ± 4.30, while the NHANES sample mean was quite a bit lower, at -0.24 ± 2.8. CONCLUSIONS: We provide a method to calculate the continuous metabolic syndrome by comparing individual risk factor values to age- and sex-specific percentiles from a nationally representative sample.
OBJECTIVE: The prevalence of metabolic syndrome in youth varies on the basis of the classification system used, prompting implementation of continuous scores; however, the use of these scores is limited to the sample from which they were derived. We sought to describe the derivation of the continuous metabolic syndrome score using nationally representative reference values in a sample of obese adolescents and a national sample obtained from National Health and Nutrition Examination Survey (NHANES) 2011-2012. METHODS: Clinical data were collected from 50 adolescents seeking obesity treatment at a stage 3 weight management center. A second analysis relied on data from adolescents included in NHANES 2011-2012, performed for illustrative purposes. The continuous metabolic syndrome score was calculated by regressing individual values onto nationally representative age- and sex-specific standards (NHANES III). Resultant z scores were summed to create a total score. RESULTS: The final sample included 42 obese adolescents (15 male and 35 female subjects; mean age, 14.8 ± 1.9 years) and an additional 445 participants from NHANES 2011-2012. Among the clinical sample, the mean continuous metabolic syndrome score was 4.16 ± 4.30, while the NHANES sample mean was quite a bit lower, at -0.24 ± 2.8. CONCLUSIONS: We provide a method to calculate the continuous metabolic syndrome by comparing individual risk factor values to age- and sex-specific percentiles from a nationally representative sample.