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A Fit-Fat Index for Predicting Incident Diabetes in Apparently Healthy Men: A Prospective Cohort Study.

Sloan RA, Haaland BA, Sawada SS, Lee IM, Sui X, Lee DC, Ridouane Y, Müller-Riemenschneider F, Blair SN - PLoS ONE (2016)

Bottom Line: Additionally, the independent predictive performance of cardiorespiratory fitness, waist-to-height ratio, and body mass index also were estimated and compared.The differences between fitness and fatness measures across horizons were clinically negligible.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.

View Article: PubMed Central - PubMed

Affiliation: Kagoshima University, Graduate Medical and Dental School, Department of Psychosomatic Internal Medicine, Kagoshima, Japan.

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.

No MeSH data available.


Related in: MedlinePlus

Smoothed random survival forest predictions for 15-year diabetes incidence vs. fitness and fatness measures.15-year incidence of diabetes in black, 95% pointwise confidence intervals in red/grey. Predictions are averaged over men aged 25-, 45-, and 65-years-old with examination year 2000 and smoothed.
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pone.0157703.g001: Smoothed random survival forest predictions for 15-year diabetes incidence vs. fitness and fatness measures.15-year incidence of diabetes in black, 95% pointwise confidence intervals in red/grey. Predictions are averaged over men aged 25-, 45-, and 65-years-old with examination year 2000 and smoothed.

Mentions: Smoothed random survival forest estimates of 15-year incidence for men in the examination year 2000, aged 25, 45, and 65 years, are shown in Fig 1. Broadly, the impact of fitness and fatness on incident diabetes was intuitive and graded. For example, men in exam year 2000, ages 25 or 45, with an FFI >30 had a 15-year incidence of diabetes <5%, while 25-year-old men with FFI <12, 45-year-old men with FFI <23, and 65-year-old men with FFI <18 had a 15-year incidence of diabetes >10%. Results for 5 and 10 years were similar (S1 Fig).


A Fit-Fat Index for Predicting Incident Diabetes in Apparently Healthy Men: A Prospective Cohort Study.

Sloan RA, Haaland BA, Sawada SS, Lee IM, Sui X, Lee DC, Ridouane Y, Müller-Riemenschneider F, Blair SN - PLoS ONE (2016)

Smoothed random survival forest predictions for 15-year diabetes incidence vs. fitness and fatness measures.15-year incidence of diabetes in black, 95% pointwise confidence intervals in red/grey. Predictions are averaged over men aged 25-, 45-, and 65-years-old with examination year 2000 and smoothed.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4920380&req=5

pone.0157703.g001: Smoothed random survival forest predictions for 15-year diabetes incidence vs. fitness and fatness measures.15-year incidence of diabetes in black, 95% pointwise confidence intervals in red/grey. Predictions are averaged over men aged 25-, 45-, and 65-years-old with examination year 2000 and smoothed.
Mentions: Smoothed random survival forest estimates of 15-year incidence for men in the examination year 2000, aged 25, 45, and 65 years, are shown in Fig 1. Broadly, the impact of fitness and fatness on incident diabetes was intuitive and graded. For example, men in exam year 2000, ages 25 or 45, with an FFI >30 had a 15-year incidence of diabetes <5%, while 25-year-old men with FFI <12, 45-year-old men with FFI <23, and 65-year-old men with FFI <18 had a 15-year incidence of diabetes >10%. Results for 5 and 10 years were similar (S1 Fig).

Bottom Line: Additionally, the independent predictive performance of cardiorespiratory fitness, waist-to-height ratio, and body mass index also were estimated and compared.The differences between fitness and fatness measures across horizons were clinically negligible.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.

View Article: PubMed Central - PubMed

Affiliation: Kagoshima University, Graduate Medical and Dental School, Department of Psychosomatic Internal Medicine, Kagoshima, Japan.

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.

No MeSH data available.


Related in: MedlinePlus