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Atrial fibrillation (AF) is the most common cardiac arrhythmia. We designed an umbrella review to systematically assess the epidemiological credibility of the associations of non-genetic factors with risk of AF. We searched PubMed and EMBASE from inception to December 31, 2018 to identify systematic reviews and meta-analyses of observational studies for the association of non-genetic factors with risk of AF. For each meta-analysis, we used the random-effects model, and we estimated the 95% confidence and prediction intervals. We also assessed between-study heterogeneity, small-study effects and excess significance bias. We identified 34 eligible papers that examined 51 associations of 42 unique non-genetic factors with risk of AF. Eighteen associations remained statistically significant at P value  30 units vs. 

Original publication

DOI

10.1007/s10654-020-00618-3

Type

Journal article

Journal

Eur J Epidemiol

Publication Date

03/2020

Volume

35

Pages

223 - 239

Keywords

Atrial fibrillation, Bias, Epidemiological credibility, Meta-analysis, Risk factors, Umbrella review, Alcohol Drinking, Atrial Fibrillation, Biomarkers, Diabetes Mellitus, Type 2, Environmental Exposure, Female, Humans, Male, Meta-Analysis as Topic, Obesity, Observational Studies as Topic, Risk Factors, Smoking