@article{ZHANG2025, 
author = {Wei ZHANG and Yi CHEN and Lei-Xiao HU and Jia-Hui XIA and Xiao-Fei YE and Wen-Yuan-Yue WANG and Xin-Yu WANG and Quan-Yong XIANG and Qin TAN and Xiao-Long WANG and Xiao-Min YANG and De-Chao ZHAO and Xin CHEN and Yan LI and Ji-Guang WANG and  for the IMPRESSION Investigators and Coordinators},
title = {Exploring urban versus rural disparities in atrial fibrillation: prevalence and management trends among elderly Chinese in a screening study},
year = {2025},
journal = {Journal of Geriatric Cardiology},
volume = {22},
number = {2},
pages = {246-254},
url = {https://www.sciopen.com/article/10.26599/1671-5411.2025.02.001},
doi = {10.26599/1671-5411.2025.02.001},
abstract = {BACKGROUND Atrial fibrillation (AF) is a common cardiac arrhythmia in the elderly. This study aimed to evaluate urban-rural disparities in its prevalence and management in elderly Chinese.METHODS Consecutive participants aged ≥ 65 years attending outpatient clinics were enrolled for AF screening using handheld single-lead electrocardiogram (ECG) from April 2017 to December 2022. Each ECG rhythm strip was reviewed from the research team. AF or uninterpretable single-lead ECGs were referred for 12-lead ECG. Primary study outcome comparison was between rural and urban areas for the prevalence of AF. The Student’s t-test was used to compare mean values of clinical characteristics between rural and urban participants, while the Pearson’s chi-square test was used to compare between-group proportions. Multivariate stepwise logistic regression analysis was performed to estimate the association between AF and various patient characteristics.RESULTS The 29,166 study participants included 13,253 men (45.4%) and had a mean age of 72.2 years. The 7073 rural participants differed significantly (P ≤ 0.02) from the 22,093 urban participants in several major characteristics, such as older age, greater body mass index, and so on. The overall prevalence of AF was 4.6% (n = 1347). AF was more prevalent in 7073 rural participants than 22,093 urban participants (5.6% vs. 4.3%, P < 0.01), before and after adjustment for age, body mass index, blood pressure, pulse rate, cigarette smoking, alcohol consumption and prior medical history. Multivariate logistic regression analysis identified overweight/obesity (OR = 1.35, 95% CI: 1.17–1.54) in urban areas and cigarette smoking (OR = 1.62, 95% CI: 1.20–2.17) and alcohol consumption (OR = 1.42, 95% CI: 1.04–1.93) in rural areas as specific risk factors for prevalent AF. In patients with known AF in urban areas (n = 781) and rural areas (n = 338), 60.6% and 45.9%, respectively, received AF treatment (P < 0.01), and only 22.4% and 17.2%, respectively, received anticoagulation therapy (P = 0.05).CONCLUSIONS In China, there are urban-rural disparities in AF in the elderly, with a higher prevalence and worse management in rural areas than urban areas. Our study findings provide insight for health policymakers to consider urban-rural disparity in the prevention and treatment of AF.}
}