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首页> 外文期刊>Scandinavian journal of public health >The Danish National Cohort Study (DANCOS)
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The Danish National Cohort Study (DANCOS)

机译:丹麦国家队列研究(DANCOS)

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Introduction: The Danish National Cohort Study (DANCOS) is a nationally representative public health survey based on linkage of information in the repeated Danish Health Interview surveys, 1986-2005, to the national Danish registers on health and welfare. It facilitates studies of self-reported health behaviour and utilisation of healthcare services by subgroups and analysis of non-response bias. Research topics: DANCOS data are utilised in a variety of analyses presented here by a few examples that emphasise the impact of modifiable risk factors on public health, description of non-response bias, and the epidemiology of chronic pain and of osteoarthritis. Examples of DANCOS-based results are shown for each of the four topics. Smoking results in 24% of all deaths and, compared to other risk factors for public health, smoking accounts for the highest number of years of life lost. For non-response the mortality is higher among non-respondents than among respondents, but no significant bias on healthcare estimates can be seen. On average individuals with chronic pain had 12.8 contacts per year to the primary healthcare sector compared with 7.3 for individuals without. For osteoarthritis it is estimated that in 2020 there will be 22,600 incident cases. Conclusion: DANCOS is a public health survey linked with registers with many research possibilities. With this article we hope to stimulate further interest in the survey.
机译:简介:丹麦国家队列研究(DANCOS)是一项具有全国代表性的公共卫生调查,其依据是1986-2005年丹麦卫生访谈的重复调查中的信息与丹麦国家卫生和福利登记册之间的信息关联。它促进了亚人群对自我报告的健康行为的研究和医疗服务的利用以及对无应答偏差的分析。研究主题:DANCOS数据被用于此处列举的几个例子的各种分析中,这些例子强调了可改变的风险因素对公共卫生的影响,对非反应性偏见的描述以及慢性疼痛和骨关节炎的流行病学。四个主题中的每个主题均显示了基于DANCOS的结果示例。吸烟导致所有死亡中的24%,与公共健康的其他风险因素相比,吸烟造成的生命损失最多。对于未回答者,死亡率在未回答者中高于在回答者中,但在医疗保健估计上没有显着偏差。平均而言,患有慢性疼痛的人每年与初级保健部门有12.8次接触,而没有疼痛的人每年有7.3次。对于骨关节炎,估计到2020年将有22,600起事件。结论:DANCOS是一项公共卫生调查,与登记册相关联,具有许多研究可能性。通过本文,我们希望激发人们对该调查的兴趣。

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