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利用工作时间的附加信息预测冠心病:一项队列研究。

Using additional information on working hours to predict coronary heart disease: a cohort study.

机构信息

Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London WC1E 6BT, United Kingdom.

出版信息

Ann Intern Med. 2011 Apr 5;154(7):457-63. doi: 10.7326/0003-4819-154-7-201104050-00003.

Abstract

BACKGROUND

Long working hours are associated with increased risk for coronary heart disease (CHD). Adding information on long hours to traditional risk factors for CHD may help to improve risk prediction for this condition.

OBJECTIVE

To examine whether information on long working hours improves the ability of the Framingham risk model to predict CHD in a low-risk, employed population.

DESIGN

Cohort study with baseline medical examination performed between 1991 and 1993 and prospective follow-up for incident CHD performed until 2004.

SETTING

Civil service departments in London (the Whitehall II study).

PARTICIPANTS

7095 adults (2109 women and 4986 men) aged 39 to 62 years working full-time without CHD at baseline.

MEASUREMENTS

Working hours and the Framingham risk score were measured at baseline. Coronary death and nonfatal myocardial infarction were ascertained from medical screenings every 5 years, hospital data, and registry linkage.

RESULTS

192 participants had incident CHD during a median 12.3-year follow-up. After adjustment for their Framingham risk score, participants working 11 hours or more per day had a 1.67-fold (95% CI, 1.10- to 2.55-fold) increased risk for CHD compared with participants working 7 to 8 hours per day. Adding working hours to the Framingham risk score led to a net reclassification improvement of 4.7% (P = 0.034) due to better identification of persons who later developed CHD (sensitivity gain).

LIMITATION

The findings may not be generalizable to populations with a larger proportion of high-risk persons and were not validated in an independent cohort.

CONCLUSION

Information on working hours may improve risk prediction of CHD on the basis of the Framingham risk score in low-risk, working populations.

PRIMARY FUNDING SOURCE

Medical Research Council; British Heart Foundation; Bupa Foundation; and the National Heart, Lung, and Blood Institute and National Institute on Aging of the National Institutes of Health.

摘要

背景

长时间工作与冠心病(CHD)风险增加有关。将长时间工作的信息添加到 CHD 的传统危险因素中,可能有助于改善这种疾病的风险预测。

目的

研究长时间工作的信息是否能提高弗雷明汉风险模型在低危、在职人群中预测 CHD 的能力。

设计

1991 年至 1993 年进行基线体检的队列研究,并前瞻性随访至 2004 年发生 CHD。

地点

伦敦公务员部门(白厅 II 研究)。

参与者

7095 名年龄在 39 至 62 岁之间、无基线 CHD 的全职工作成年人(2109 名女性和 4986 名男性)。

测量方法

基线时测量工作时间和弗雷明汉风险评分。通过每 5 年进行一次的医疗筛查、医院数据和登记处链接确定冠心病死亡和非致命性心肌梗死。

结果

192 名参与者在中位 12.3 年的随访期间发生了 CHD 事件。在调整了他们的弗雷明汉风险评分后,每天工作 11 小时或更长时间的参与者患 CHD 的风险是每天工作 7 至 8 小时的参与者的 1.67 倍(95%CI,1.10 至 2.55 倍)。将工作时间添加到弗雷明汉风险评分中,由于更好地识别了后来发生 CHD 的人,净分类改善了 4.7%(P=0.034)(敏感性提高)。

局限性

研究结果可能不适用于高危人群比例较大的人群,并且在独立队列中未得到验证。

结论

在低危、工作人群中,工作时间的信息可能会基于弗雷明汉风险评分提高 CHD 的风险预测。

主要资金来源

医学研究委员会;英国心脏基金会;保柏基金会;以及美国国立卫生研究院的国家心、肺和血液研究所和国家老龄化研究所。

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