Faculty Opinions recommendation of 50 year trends in atrial fibrillation prevalence, incidence, risk factors, and mortality in the Framingham Heart Study: a cohort study.

Author(s):  
Gad Cotter ◽  
Olga Milo
The Lancet ◽  
2015 ◽  
Vol 386 (9989) ◽  
pp. 154-162 ◽  
Author(s):  
Renate B Schnabel ◽  
Xiaoyan Yin ◽  
Philimon Gona ◽  
Martin G Larson ◽  
Alexa S Beiser ◽  
...  

Hypertension ◽  
2016 ◽  
Vol 68 (3) ◽  
pp. 597-605 ◽  
Author(s):  
Faisal Rahman ◽  
Xiaoyan Yin ◽  
Martin G. Larson ◽  
Patrick T. Ellinor ◽  
Steven A. Lubitz ◽  
...  

The Lancet ◽  
2009 ◽  
Vol 373 (9665) ◽  
pp. 739-745 ◽  
Author(s):  
Renate B Schnabel ◽  
Lisa M Sullivan ◽  
Daniel Levy ◽  
Michael J Pencina ◽  
Joseph M Massaro ◽  
...  

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Kirstine Wodschow ◽  
Kristine Bihrmann ◽  
Mogens Lytken Larsen ◽  
Gunnar Gislason ◽  
Annette Kjær Ersbøll

Abstract Background The prevalence and incidence rate of atrial fibrillation (AF) increase worldwide and AF is a risk factor for more adverse cardiovascular diseases including stroke. Approximately 44% of AF cases cannot be explained by common individual risk factors and risk might therefore also be related to the environment. By studying geographical variation and clustering in risk of incident AF adjusted for socioeconomic position at an individual level, potential neighbourhood risk factors could be revealed. Methods Initially, yearly AF incidence rates 1987–2015 were estimated overall and stratified by income in a register-based cohort study. To examine geographical variation and clustering in AF, we used both spatial scan statistics and a hierarchical Bayesian Poisson regression analysis of AF incidence rates with random effect of municipalities (n = 98) in Denmark in 2011–2015. Results The 1987–2015 cohort included 5,453,639 individuals whereof 369,800 were diagnosed with an incident AF. AF incidence rate increased from 174 to 576 per 100,000 person-years from 1987 to 2015. Inequality in AF incidence rate ratio between highest and lowest income groups increased from 23% in 1987 to 38% in 2015. We found clustering and geographical variation in AF incidence rates, with incidence rates at municipality level being up to 34% higher than the country mean after adjusting for socioeconomic position. Conclusions Geographical variations and clustering in AF incidence rates exist. Compared to previous studies from Alberta, Canada and the United States, we show that geographical variations exist in a country with free access to healthcare and even when accounting for socioeconomic differences at an individual level. An increasing social inequality in AF was seen from 1987 to 2015. Therefore, when planning prevention strategies, attention to individuals with low income should be given. Further studies focusing on identification of neighbourhood risk factors for AF are needed.


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