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https://doi.org/10.1371/journal.pone.0157703
Title: | A fit-fat index for predicting incident diabetes in apparently healthy men: A prospective cohort study | Authors: | Sloan R.A. Haaland B.A. Sawada S.S. Lee I.-M. Sui X. Lee D.-C. Ridouane Y. Müller-Riemenschneider F. Blair S.N. |
Keywords: | adult Article body fat body mass cardiorespiratory fitness cohort analysis diabetes mellitus diagnostic test accuracy study fit fat index human major clinical study male prediction prognosis prospective study random forest receiver operating characteristic risk assessment survival waist to height ratio area under the curve diabetes mellitus follow up incidence middle aged mortality proportional hazards model risk factor Adult Area Under Curve Cardiorespiratory Fitness Diabetes Mellitus Follow-Up Studies Humans Incidence Male Middle Aged Proportional Hazards Models Prospective Studies Risk Factors Waist-Height Ratio |
Issue Date: | 2016 | Publisher: | Public Library of Science | Citation: | Sloan R.A., Haaland B.A., Sawada S.S., Lee I.-M., Sui X., Lee D.-C., Ridouane Y., Müller-Riemenschneider F., Blair S.N. (2016). A fit-fat index for predicting incident diabetes in apparently healthy men: A prospective cohort study. PLoS ONE 11 (6) : e0157703. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0157703 | Abstract: | Background: 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. © 2016 Sloan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | Source Title: | PLoS ONE | URI: | https://scholarbank.nus.edu.sg/handle/10635/165745 | ISSN: | 19326203 | DOI: | 10.1371/journal.pone.0157703 |
Appears in Collections: | Elements Staff Publications |
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