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dc.contributor.authorBandini, Linda G.
dc.contributor.authorFleming, R. K.
dc.contributor.authorScampini, R.
dc.contributor.authorGleason, James
dc.contributor.authorMust, Aviva
dc.date2022-08-11T08:09:07.000
dc.date.accessioned2022-08-23T16:18:21Z
dc.date.available2022-08-23T16:18:21Z
dc.date.issued2013-11-01
dc.date.submitted2015-03-30
dc.identifier.citationBandini LG, Fleming RK, Scampini R, Gleason J, Must A. Is body mass index a useful measure of excess body fatness in adolescents and young adults with Down syndrome? J Intellect Disabil Res. 2013 Nov;57(11):1050-7. doi: 10.1111/j.1365-2788.2012.01605.x. Epub 2012 Sep 14. PubMed PMID: 22974061; PubMed Central PMCID: PMC4019440. <a href="http://dx.doi.org/10.1111/j.1365-2788.2012.01605.x">Link to article on publisher's site</a>
dc.identifier.issn0964-2633 (Linking)
dc.identifier.doi10.1111/j.1365-2788.2012.01605.x
dc.identifier.pmid22974061
dc.identifier.urihttp://hdl.handle.net/20.500.14038/34795
dc.description.abstractBACKGROUND: To determine the validity of body mass index (BMI) to identify excess fatness in youth with Down syndrome (DS). METHODS: Using the Centers for Disease Control and Prevention (CDC) growth reference, we defined overweight ( > = 85th percentile) and obesity ( > = 95th percentile) based on participants' age- and sex-specific BMI z-scores, calculated from measured height and weight. Percentage body fat was measured by dual-energy X-ray absorptiometry. We determined sensitivity, specificity, positive predictive value, negative predictive value and efficiency of BMI percentiles to identify excess adiposity relative to elevated percentage body fat cut-offs developed from the Pediatric Rosetta Body Composition project in 32 youth (20 boys/12 girls), ages 13-21 years with Down syndrome. RESULTS: For adolescents with Down syndrome using the cut-off points of 95th percentile for BMI (obesity), sensitivity and specificity were 71% and 96% respectively. Positive predictive value was 83% and negative predictive value was 92%. Overall efficiency was 91%. Sensitivity and specificity for BMI cut-offs above the 85th percentile (overweight) were 100% and 60% respectively. The positive predictive value was 41% and negative predictive value was 100%. Overall efficiency was 69%. CONCLUSION: On the whole, the obesity ( > = 95th percentile) cut-off performs better than the overweight cut-off (85th-94th percentile) in identifying elevated fatness in youth with DS. Wiley and Sons Ltd, MENCAP and IASSID.
dc.language.isoen_US
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=22974061&dopt=Abstract">Link to Article in PubMed</a>
dc.relation.urlhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4019440/
dc.subjectAdolescent
dc.subjectAnthropometry
dc.subjectBody Composition
dc.subject*Body Mass Index
dc.subjectDown Syndrome
dc.subjectFemale
dc.subjectGrowth Charts
dc.subjectHumans
dc.subjectMale
dc.subjectObesity, Abdominal
dc.subjectOverweight
dc.subjectPredictive Value of Tests
dc.subjectReproducibility of Results
dc.subjectSensitivity and Specificity
dc.subjectYoung Adult
dc.subjectMental Disorders
dc.titleIs body mass index a useful measure of excess body fatness in adolescents and young adults with Down syndrome?
dc.typeJournal Article
dc.source.journaltitleJournal of intellectual disability research : JIDR
dc.source.volume57
dc.source.issue11
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/iddrc_pubs/15
dc.identifier.contextkey6919876
html.description.abstract<p>BACKGROUND: To determine the validity of body mass index (BMI) to identify excess fatness in youth with Down syndrome (DS).</p> <p>METHODS: Using the Centers for Disease Control and Prevention (CDC) growth reference, we defined overweight ( > = 85th percentile) and obesity ( > = 95th percentile) based on participants' age- and sex-specific BMI z-scores, calculated from measured height and weight. Percentage body fat was measured by dual-energy X-ray absorptiometry. We determined sensitivity, specificity, positive predictive value, negative predictive value and efficiency of BMI percentiles to identify excess adiposity relative to elevated percentage body fat cut-offs developed from the Pediatric Rosetta Body Composition project in 32 youth (20 boys/12 girls), ages 13-21 years with Down syndrome.</p> <p>RESULTS: For adolescents with Down syndrome using the cut-off points of 95th percentile for BMI (obesity), sensitivity and specificity were 71% and 96% respectively. Positive predictive value was 83% and negative predictive value was 92%. Overall efficiency was 91%. Sensitivity and specificity for BMI cut-offs above the 85th percentile (overweight) were 100% and 60% respectively. The positive predictive value was 41% and negative predictive value was 100%. Overall efficiency was 69%.</p> <p>CONCLUSION: On the whole, the obesity ( > = 95th percentile) cut-off performs better than the overweight cut-off (85th-94th percentile) in identifying elevated fatness in youth with DS. Wiley and Sons Ltd, MENCAP and IASSID.</p>
dc.identifier.submissionpathiddrc_pubs/15
dc.contributor.departmentShriver Center
dc.contributor.departmentDepartment of Pediatrics
dc.contributor.departmentIntellectual and Developmental Disabilities Research Center
dc.source.pages1050-7


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