![]() Distributional observations are represented via quantile functions and the dependence on predictors is modelled via functional regression coefficients. ![]() We propose a distributional outcome regression (DOR) with scalar and distributional predictors. In conclusion, this information contributes to the growing evidence supporting the causal relation between obesity and atrial fibrillation, and emphasizes the need of addressing obesity as part of our therapeutic strategy to prevent atrial fibrillation. Obesity was strongly associated with a new diagnosis of atrial fibrillation after controlling for age, gender, hypertension, and diabetes (odds ratio 1.4, 95% confidence interval 1.3 to 1.6). Over 8 years of follow-up, we recorded a new diagnosis of atrial fibrillation in 1,511 (2.2%) subjects. Obese subjects were significantly more likely to have hypertension (29.5% vs 14.6%) and diabetes (12.7% vs 5.2%) at study onset. Overall, 67,278 subjects were included in the cohort, divided evenly between those with and without a diagnosis of obesity. ![]() We used logistic regression to determine the strength of association between obesity and new-onset atrial fibrillation controlling for age, gender, hypertension, and diabetes. The primary end point of new-onset atrial fibrillation was compared between obese and nonobese cohorts. ![]() To assess this relation, we performed a longitudinal cohort study from Januto December 31, 2013, using a national claims database that tracks all inpatient, outpatient, and pharmacy claims data. Prospective cohort studies involving older adults report an association of obesity and new-onset atrial fibrillation and atrial flutter. ![]()
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