华南预防医学 ›› 2025, Vol. 51 ›› Issue (11): 1192-1197.doi: 10.12183/j.scjpm.2025.1192

• 论著 • 上一篇    下一篇

基于HARMS2-AF评分的房颤风险分布及其影响因素

孔美偲, 叶炳琪, 杨嘉璐, 袁乐乐, 杨淑筠, 雷泽恺, 周熙瑞, 柳雁   

  1. 中山大学公共卫生学院,广东 广州 510080
  • 收稿日期:2025-02-24 出版日期:2025-11-20 发布日期:2025-12-02
  • 通讯作者: 柳雁,E-mail:liuyan215@mail.sysu.edu.cn
  • 作者简介:孔美偲(2000—),女,硕士研究生,主要研究方向为公共卫生
  • 基金资助:
    国家重点研发计划课题(2017YFC0907100,2023YFC3606300)

Distribution and determinants of atrial fibrillation risk assessed by the HARMS2-AF score

KONG Meisi, YE Bingqi, YANG Jialu, YUAN Lele, YANG Shuyun, LEI Zekai, ZHOU Xirui, LIU Yan   

  1. School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
  • Received:2025-02-24 Online:2025-11-20 Published:2025-12-02

摘要: 目的 了解HARMS2-AF评分在华南区域自然人群中的分布情况,并探索其影响因素。方法 数据来源于华南区域自然人群慢性非传染性疾病前瞻性队列研究2018—2020年的基线信息。将调查点常住居民53 826人作为基本研究对象,收集人口学特征、生活方式、体格检查等资料,分析HARMS2-AF评分在总人群及不同亚组人群中的分布,并探究其影响因素。结果 华南区域自然人群HARMS2-AF评分范围为0~12分,第一组(0分)占24.5%,第二组(1~2分)占18.7%,第三组(3~5分)占28.1%,第四组(6~12分)占28.7%。多因素分析显示,婚姻为其他(PR=1.39,95% CI:1.35~1.43)、中等社会经济状况(PR=1.25,95% CI:1.21~1.28)、偏低社会经济状况(PR=1.49,95% CI:1.44~1.54)、睡眠障碍(PR=1.08,95% CI:1.06~1.11)、肥胖(PR=1.57,95% CI:1.53~1.61)、糖尿病(PR=1.60,95% CI:1.56~1.65)、心血管疾病(PR=1.69,95% CI:1.63~1.75)均增加HARMS2-AF高危风险,而低、高活跃体力活动者的HARMS2-AF高危风险显著低于中活跃组(PR=0.93,95% CI:0.91~0.96;PR=0.95,95% CI:0.92~0.97)。结论 华南区域自然人群的HARMS2-AF评分较低,重点关注低社会经济状况、慢性病等高危人群,建立良好生活习惯,以降低房颤风险。

关键词: HARMS2-AF, 心房颤动, 生活方式改变, 心血管疾病

Abstract: Objective To investigate the distribution of the HARMS2-AF score within a general population cohort in Southern China and to identify the factors associated with this risk score. Methods Data were sourced from the baseline information (2018-2020) of the prospective cohort study on chronic non-communicable diseases in a general population of Southern China. A total of 53, 826 permanent residents from the survey sites were included as the study population. Data pertaining to demographic characteristics, lifestyle factors, and physical examinations were collected. The distribution of the HARMS2-AF score was analyzed for the entire cohort and across various subgroups, and its associated factors were subsequently explored. Results The HARMS2-AF scores within the Southern China general population cohort ranged from 0 to 12. The distribution was as follows: 24.5% of participants were in the first group (score of 0), 18.7% in the second group (scores 1-2), 28.1% in the third group (scores 3-5), and 28.7% in the fourth group (scores 6-12). Multivariate analysis indicated that an alternative marital status [Prevalence Ratio (PR)=1.39, 95% CI: 1.35-1.43)], moderate socioeconomic status (PR=1.25, 95% CI: 1.21-1.28), low socioeconomic status (PR=1.49, 95% CI: 1.44-1.54), sleep disorders (PR=1.08, 95% CI: 1.06-1.11), obesity (PR=1.57, 95% CI: 1.53-1.61), diabetes mellitus (PR=1.60, 95% CI: 1.56-1.65), and cardiovascular disease (PR=1.69, 95% CI: 1.63-1.75) were all associated with an increased risk of a high HARMS2-AF score. Conversely, individuals with low or high levels of physical activity exhibited a significantly lower risk of a high score compared to those with moderate activity levels (PR=0.93, 95% CI: 0.91-0.96 and PR=0.95, 95% CI: 0.92-0.97, respectively). Conclusions The overall HARMS2-AF scores in the general population of Southern China are relatively low. Public health interventions should prioritize high-risk populations, particularly individuals with low socioeconomic status and chronic diseases. The adoption of healthy lifestyle habits is crucial for mitigating the risk of atrial fibrillation.

Key words: HARMS2-AF, Atrial fibrillation, Lifestyle modification, Cardiovascular disease

中图分类号: 

  • R195.4