Cardiorespiratory Fitness and Risk of Incident Atrial Fibrillation: Results from the Henry Ford ExercIse Tesing (FIT) Project Running title: Qureshi et al.; Fitness and Incident Atrial Fibrillation
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چکیده
Add f C d Abstract Background—Poor cardiorespiratory fitness (CRF) is an independent risk factor for
منابع مشابه
Response to Letter Regarding Article, "Cardiorespiratory Fitness and Risk of Incident Atrial Fibrillation: Results From the Henry Ford Exercise Testing (FIT) Project".
BACKGROUND Poor cardiorespiratory fitness (CRF) is an independent risk factor for cardiovascular morbidity and mortality. However, the relationship between CRF and atrial fibrillation (AF) is less clear. The aim of this analysis was to investigate the association between CRF and incident AF in a large, multiracial cohort that underwent graded exercise treadmill testing. METHODS AND RESULTS Fr...
متن کاملCardiorespiratory fitness and incident diabetes: the FIT (Henry Ford ExercIse Testing) project.
OBJECTIVE Prior evidence has linked higher cardiorespiratory fitness with a lower risk of diabetes in ambulatory populations. Using a demographically diverse study sample, we examined the association of fitness with incident diabetes in 46,979 patients from The Henry Ford ExercIse Testing (FIT) Project without diabetes at baseline. RESEARCH DESIGN AND METHODS Fitness was measured during a cli...
متن کاملImpact of CARDIOrespiratory FITness on Arrhythmia Recurrence in Obese Individuals With Atrial Fibrillation: The CARDIO-FIT Study.
BACKGROUND Obesity begets atrial fibrillation (AF). Although cardiorespiratory fitness is protective against incident AF in obese individuals, its effect on AF recurrence or the benefit of cardiorespiratory fitness gain is unknown. OBJECTIVES This study sought to evaluate the role of cardiorespiratory fitness and the incremental benefit of cardiorespiratory fitness improvement on rhythm contr...
متن کاملPredicting diabetes mellitus using SMOTE and ensemble machine learning approach: The Henry Ford ExercIse Testing (FIT) project
Machine learning is becoming a popular and important approach in the field of medical research. In this study, we investigate the relative performance of various machine learning methods such as Decision Tree, Naïve Bayes, Logistic Regression, Logistic Model Tree and Random Forests for predicting incident diabetes using medical records of cardiorespiratory fitness. In addition, we apply differe...
متن کاملLow heart rates predict incident atrial fibrillation in healthy middle-aged men.
BACKGROUND Low resting heart rate (HR) has been associated with atrial fibrillation (AF) in athletes. We aimed to study whether low HR at rest or during exercise testing was a predictor of AF in initially healthy middle-aged men. METHODS AND RESULTS A total of 2014 healthy Norwegian men participated in a prospective cardiovascular survey, including a standardized bicycle exercise test in 1972...
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تاریخ انتشار 2015