社会经济地位和房颤风险:丹麦全国队列研究

E. D. Lunde, A. M. Joensen, S. Lundbye-Christensen, K. Fonager, S. Paaske Johnsen, M. Larsen, M. Berg Johansen, S. Riahi
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引用次数: 13

摘要

目的探讨社会经济地位与丹麦公民不同生命阶段房颤(AF)风险之间的关系。方法基于注册表的研究。从1996年1月1日至2005年12月31日,我们随访了所有35岁、50岁、65岁或80岁的个体,直到AF、死亡、移民或研究期结束(2015年12月31日)。暴露的是教育和收入。hr (95% CI)采用Cox回归,校正风险差(RD)(%)采用伪观察法。结果在中位13.6年的随访期间,共有2 173 857名参与者被纳入研究,发生了151 340例房颤事件。受教育程度最高的最年轻年龄组(参考最低)AF事件的调整HR (95% CI)为0.62(0.50 ~ 0.77)(女性)和0.85(0.76 ~ 0.96)(男性)。随着年龄的增长,相关性逐渐减弱,即最高龄组的hr分别为1.04(0.97 ~ 1.10)和0.98(0.96 ~ 1.04)。相应的调整后RDs(%)分别为:- 0.28(- 0.43 ~ - 0.14)、- 0.18(- 0.36 ~ - 0.01)、3.04(- 0.55 ~ 6.64)和- 0.74(- 3.38 ~ 2.49)。在收入方面也发现了类似但较弱的关联。结论:较高的教育水平和收入水平与年轻人患房颤的风险降低有关,但随着年龄的增长,这种相关性降低,而在老年人群中几乎不存在这种相关性。然而,由于房颤在最年轻的患者中相对罕见,因此rd较低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Socioeconomic position and risk of atrial fibrillation: a nationwide Danish cohort study
Aim To examine the association between socioeconomic position and the risk of atrial fibrillation (AF) in different stages of life in a population of Danish citizens. Methods Register-based study. We followed all individuals turning 35, 50, 65 or 80 years from 1 January 1996 to 31 December 2005 until AF, death, emigration or the end of study period (31 December 2015). Exposure was education and income. We used Cox regression for the HRs (95% CI) and the pseudo-observation method for the adjusted risk difference (RD) (%). Results A total of 2 173 857 participants were enrolled and 151 340 incident cases of AF occurred over a median of 13.6 years of follow-up. Adjusted HR (95% CI) of incident AF for the youngest age group with the highest education (ref lowest) was 0.62 (0.50 to 0.77) (women) and 0.85 (0.76 to 0.96) (men). The associations attenuated with increasing age, that is, HRs for the oldest age group were 1.04 (0.97 to 1.10) and 0.98 (0.96 to 1.04), respectively. The corresponding adjusted RDs (%) were: −0.28 (−0.43 to −0.14), −0.18 (−0.36 to −0.01), 3.04 (−0.55 to 6.64) and −0.74 (−3.38 to 2.49), respectively. Similar but weaker associations were found for income. Conclusion Higher level of education and income was associated with a lower risk of being diagnosed with AF in young individuals but the association decreased with increasing age and was almost absent for the oldest age cohort. However, since AF is relatively rare in the youngest the RDs were low.
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