Open AccessAssociation between modifiable lifestyle and the prevalence of atrial fibrillation in a Chinese population: Based on the cardiovascular health score
Author(s) -
Yang Yiheng,
Han Xu,
Chen Yue,
Gao Lianjun,
Yin Xiaomeng,
Li Huihua,
Qiu Jing,
Wang Youxin,
Zhou Yong,
Xia Yunlong
Publication year - 2017
Publication title -
clinical cardiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.263
H-Index - 72
eISSN - 1932-8737
pISSN - 0160-9289
DOI - 10.1002/clc.22771
Subject(s) - medicine , odds ratio , atrial fibrillation , logistic regression , confidence interval , body mass index , population , demography , environmental health , sociology
Background The Cardiovascular Health (CVH) Score was comprised of a series of modifiable lifestyle and health factors, which was published by American Heart Association in 2010. Its relationship with atrial fibrillation (AF) remains unclear. Hypothesis Individuals with a higher CVH Score had a lower risk of AF. Methods Participants ≥40 years of age were recruited from the Jidong community. Information regarding the following 7 CVH metrics, including smoking, body mass index, diet, physical activity, total cholesterol, and fasting blood glucose, were collected. AF was confirmed with a standard 12‐lead electrocardiography or based on the patients' medical histories. A multivariable logistic regression model was used to evaluate the relationship between ideal CVH and AF prevalence. Results This study included 4477 individuals, among whom 48 had AF (1.07%). Overall, participants with higher ideal components scores had a lower risk of AF (odds ratio [OR]: 0.78; 95% confidence intervals [CI]: 0.62‐0.97; P trend = 0.024). Subgroup analyses showed that the trend was consistent in the male participants ages 40 to 60 years. Moreover, patients with 5 to 7 ideal components or 3 to 4 ideal components were associated with 57% and 59% reduced risks for AF, respectively. We also detected a significant association between ideal health factors and the prevalence of AF (OR: 0.79; 95% CI: 0.68‐0.93; P = 0.004). Conclusions Ideal health behavior and factors are associated with lower prevalence of AF in a community‐based population. Improving healthy behavior and these factors may be beneficial to decrease the prevalence of AF.