ArticlePloS one2016
A Fit-Fat Index for Predicting Incident Diabetes in Apparently Healthy Men: A Prospective Cohort Study.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 32 citations in OpenAlex.
- The Effects of Standardised versus Individualised Aerobic Exercise Prescription on Fitness-Fatness Index in Sedentary Adults: A Randomised Controlled Trial.Journal of sports science & medicine · 2022Trial
- Associations of Fitness, Fatness Indices and Fit-Fat Index Variants With Cardiovascular and All-Cause Mortality in Men.Obesity science & practice · 2026Article
- Fitness-Fatness Index on Predicting Cardiovascular Outcomes in College-Aged Students.International journal of exercise science · 2026Article
- Mortality prediction and influencing factors for intensive care unit patients with acute tubular necrosis: random survival forest and cox regression analysis.Frontiers in pharmacology · 2024Article
- Fit-Fat Index is better associated with heart rate variability compared to fitness and fatness alone as indicators of cardiometabolic human health.American journal of human biology : the official journal of the Human Biology Council · 2023Article
- Improved Survival Analyses Based on Characterized Time-Dependent Covariates to Predict Individual Chronic Kidney Disease Progression.Biomedicines · 2023Article
- Prognostic value of exercise capacity in incident diabetes: a country with high prevalence of diabetes.BMC endocrine disorders · 2022Article
- Factors affecting the survival of patients with colorectal cancer using random survival forest.Journal of gastrointestinal cancer · 2022Article
- Changes in the Fitness Fatness Index following reduced exertion high-intensity interval training versus moderate-intensity continuous training in physically inactive adults.Frontiers in sports and active living · 2022Article
- Changes in Fitness-Fatness Index following a Personalized, Community-Based Exercise Program in Physically Inactive Adults: A Randomised Controlled Trial.International journal of exercise science · 2022Article
- Exercise Training Intensity and the Fitness-Fatness Index in Adults with Metabolic Syndrome: A Randomized Trial.Sports medicine - open · 2021Article
- Analysis of fitness among Korean adults by the cause-effect relation in lump mean scheme.BMC sports science, medicine & rehabilitation · 2021Article
- Low Fitness and High Fatness: The "Double Whammy" on Vascular Health.Taehan Sup'och'u Uihakhoe chi = The Korean journal of sports medicine · 2021Article
- Predictive scores for identifying patients with type 2 diabetes mellitus at risk of acute myocardial infarction and sudden cardiac death.Endocrinology, diabetes & metabolism · 2021Article
- The Association of Fit-Fat Index with Incident Diabetes in Japanese Men: A Prospective Cohort Study.Scientific reports · 2018Article
- Development and validation of a multivariate predictive model for rheumatoid arthritis mortality using a machine learning approach.Scientific reports · 2017Article
- The protective effects of a novel fitness-fatness index on all-cause mortality among adults with cardiovascular disease.Clinical cardiology · 2017Article
Corrections and comments
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Authors and funding
9 authors at 7 institutions in 3 countries.
Funding
Abstract
backgroundThe 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.
methodsThis 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.
resultsOverall, 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.
conclusionsAlthough 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.
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Registered trials
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