Centro Ricerche EPIMED-Epidemiologia e Prevenzione, Dipartimento di Medicina e Chirurgia, Università degli Studi dell'Insubria, Varese, Italy.
UKCRC Centre of Excellence for Public Health Research, Queens University Belfast, Belfast, UK.
J Epidemiol Community Health. 2017 Dec;71(12):1210-1216. doi: 10.1136/jech-2017-209728. Epub 2017 Oct 5.
Knowledge on the origins of the social gradient in stroke incidence in different populations is limited. This study aims to estimate the burden of educational class inequalities in stroke incidence and to assess the contribution of risk factors in determining these inequalities across Europe.
The MORGAM (MOnica Risk, Genetics, Archiving and Monograph) Study comprises 48 cohorts recruited mostly in the 1980s and 1990s in four European regions using standardised procedures for baseline risk factor assessment and fatal and non-fatal stroke ascertainment and adjudication during follow-up. Among the 126 635 middle-aged participants, initially free of cardiovascular diseases, generating 3788 first stroke events during a median follow-up of 10 years, we estimated differences in stroke rates and HRs for the least versus the most educated individuals.
Compared with their most educated counterparts, the overall age-adjusted excess hazard for stroke was 1.54 (95% CI 1.25 to 1.91) and 1.41 (95% CI 1.16 to 1.71) in least educated men and women, respectively, with little heterogeneity across populations. Educational class inequalities accounted for 86-413 and 78-156 additional stroke events per 100 000 person-years in the least compared with most educated men and women, respectively. The additional events were equivalent to 47%-130% and 40%-89% of the average incidence rates. Inequalities in risk factors accounted for 45%-70% of the social gap in incidence in the Nordic countries, the UK and Lithuania-Kaunas (men), but for no more than 17% in Central and South Europe. The major contributors were cigarette smoking, alcohol intake and body mass index.
Social inequalities in stroke incidence contribute substantially to the disease rates in Europe. Healthier lifestyles in the most disadvantaged individuals should have a prominent impact in reducing both inequalities and the stroke burden.
不同人群中风发病率的社会梯度起源知识有限。本研究旨在估计教育阶层不平等对中风发病率的负担,并评估风险因素在确定欧洲各地这些不平等方面的贡献。
MORGAM(Monica 风险、遗传学、存档和专论)研究包括 48 个队列,这些队列主要在 20 世纪 80 年代和 90 年代在四个欧洲地区招募,使用标准化程序进行基线风险因素评估以及在随访期间确定致命和非致命性中风。在 126635 名中年参与者中,最初没有心血管疾病,在中位随访 10 年期间发生了 3788 例首次中风事件,我们估计了受教育程度最低和最高的个体之间中风发生率和 HR 的差异。
与受教育程度最高的个体相比,调整年龄后的整体中风超额风险分别为 1.54(95%CI 1.25 至 1.91)和 1.41(95%CI 1.16 至 1.71),人群之间的异质性很小。在受教育程度最低的男性和女性中,与受教育程度最高的个体相比,教育阶层不平等分别导致每 10 万人年增加 86-413 和 78-156 例中风事件。这些额外的事件相当于平均发病率的 47%-130%和 40%-89%。在北欧国家、英国和立陶宛-考纳斯(男性),风险因素的不平等占发病社会差距的 45%-70%,但在中欧和南欧不超过 17%。主要贡献者是吸烟、饮酒和体重指数。
中风发病率的社会不平等对欧洲的疾病发病率有很大贡献。最弱势群体中更健康的生活方式应该对减少不平等和中风负担产生重大影响。