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dc.contributor.authorSloan, Robert Aen_US
dc.contributor.authorHaaland, Benjamin Aen_US
dc.contributor.authorSawada, Susumu Sen_US
dc.contributor.authorLee, I-Minen_US
dc.contributor.authorSui, Xuemeien_US
dc.contributor.authorLee, Duck-chulen_US
dc.contributor.authorRidouane, Yassineen_US
dc.contributor.authorMüller-Riemenschneider, Falken_US
dc.contributor.authorBlair, Steven Nen_US
dc.date.accessioned2016-08-09T14:54:52Z
dc.date.issued2016en_US
dc.identifier.citationSloan, Robert A, Benjamin A Haaland, Susumu S Sawada, I-Min Lee, Xuemei Sui, Duck-chul Lee, Yassine Ridouane, Falk Müller-Riemenschneider, and Steven N Blair. 2016. “A Fit-Fat Index for Predicting Incident Diabetes in Apparently Healthy Men: A Prospective Cohort Study.” PLoS ONE 11 (6): e0157703. doi:10.1371/journal.pone.0157703. http://dx.doi.org/10.1371/journal.pone.0157703.en
dc.identifier.issn1932-6203en
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:27822386
dc.description.abstractBackground: The purpose of this study was to examine the impact of combined cardiorespiratory fitness and waist-to-height ratio in the form of a fit-fat index on incident diabetes risk. Additionally, the independent predictive performance of cardiorespiratory fitness, waist-to-height ratio, and body mass index also were estimated and compared. Methods: This was a prospective cohort study of 10,381 men who had a normal electrocardiogram and no history of major chronic disease at baseline from 1979 to 2005. Random survival forest models and traditional Cox proportional hazards models were used to predict diabetes at 5-, 10-, and 15-year incidence horizons. Results: Overall, 4.8% of the participants developed diabetes. Receiver operating characteristic curve analyses for incidence risk demonstrated good discrimination using random survival forest models across fitness and fatness measures; Cox models were poor to fair. The differences between fitness and fatness measures across horizons were clinically negligible. Smoothed random survival forest estimates demonstrated the impact of each fitness and fatness measure on incident diabetes was intuitive and graded. Conclusions: Although fitness and fatness measures showed a similar discriminative ability in predicting incident diabetes, unique to the study was the ability of the fit-fat index to demonstrate a better indication of incident risk when compared to fitness or fatness alone. A single index combining cardiorespiratory fitness and waist-to-height ratio may be more useful because it can indicate improvements in either or both of the measures.en
dc.language.isoen_USen
dc.publisherPublic Library of Scienceen
dc.relation.isversionofdoi:10.1371/journal.pone.0157703en
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4920380/pdf/en
dash.licenseLAAen_US
dc.subjectMedicine and Health Sciencesen
dc.subjectEndocrinologyen
dc.subjectEndocrine Disordersen
dc.subjectDiabetes Mellitusen
dc.subjectMetabolic Disordersen
dc.subjectInfectious Diseasesen
dc.subjectPrion Diseasesen
dc.subjectFatal Familial Insomniaen
dc.subjectZoonosesen
dc.subjectDiabetic Endocrinologyen
dc.subjectInsulinen
dc.subjectBiology and Life Sciencesen
dc.subjectBiochemistryen
dc.subjectHormonesen
dc.subjectLipidsen
dc.subjectFatsen
dc.subjectPhysiologyen
dc.subjectPhysiological Parametersen
dc.subjectBody Weighten
dc.subjectBody Mass Indexen
dc.subjectPublic and Occupational Healthen
dc.subjectPhysical Activityen
dc.subjectPhysical Fitnessen
dc.subjectExerciseen
dc.subjectSports and Exercise Medicineen
dc.subjectSports Scienceen
dc.titleA Fit-Fat Index for Predicting Incident Diabetes in Apparently Healthy Men: A Prospective Cohort Studyen
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden
dc.relation.journalPLoS ONEen
dash.depositing.authorLee, I-Minen_US
dc.date.available2016-08-09T14:54:52Z
dc.identifier.doi10.1371/journal.pone.0157703*
dash.authorsorderedfalse
dash.contributor.affiliatedLee, I-Min
dc.identifier.orcid0000-0002-1083-6907


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