首页> 外文期刊>Annals of epidemiology >Self-report as an indicator of incident disease.
【24h】

Self-report as an indicator of incident disease.

机译:自我报告可作为突发疾病的指标。

获取原文
获取原文并翻译 | 示例
           

摘要

PURPOSE: Epidemiological studies use self-reports from repeated surveys to ascertain incident disease. However, the accuracy of such measurements remains unknown, as validity studies have typically relied on data from prevalent, rather than incident, disease. This study examined the validity of self-reports in the detection of new-onset disease with measurements at baseline and follow-up conditions. METHODS: We conducted a prospective cohort study of 34,616 Finnish public-sector employees. Data from self-reported, physician-diagnosed diseases from two surveys approximately 4 years apart were compared with corresponding records in comprehensive national health registers used as the validity criterion. RESULTS: There was a considerable degree of misclassification for self-reports as a measure of incident disease. The specificity of self-reports was equally high for the prevalent and incident diseases (range, 93%-99%), but the sensitivity of self-reports was considerably lower for incident than for prevalent diseases: hypertension (55% vs. 86%), diabetes (62% vs. 96%), asthma (63% vs. 91%), coronary heart disease (62% vs. 78%), and rheumatoid arthritis (63% vs. 83%). CONCLUSIONS: This study suggests that the sensitivity of self-reports is substantially worse for incident than for prevalent diseases. Results from studies on self-reported incident chronic conditions should be interpreted with caution.
机译:目的:流行病学研究使用重复调查的自我报告来确定突发疾病。但是,这种测量的准确性仍然未知,因为有效性研究通常依赖于流行疾病而非突发疾病的数据。这项研究通过在基线和随访条件下的测量来检验自我报告在检测新发疾病中的有效性。方法:我们对34,616名芬兰公共部门雇员进行了前瞻性队列研究。将两次相距约4年的自我报告,医生诊断的疾病的数据相隔约4年,与作为有效标准的综合国家卫生记录中的相应记录进行了比较。结果:自我报告存在相当大程度的误分类,无法衡量突发事件。自我报告的普遍性和偶发性疾病的特异性同样高(范围为93%-99%),但是对于突发事件,自我报告的敏感性比普遍性疾病低得多:高血压(55%比86%) ),糖尿病(62%对96%),哮喘(63%对91%),冠心病(62%对78%)和类风湿关节炎(63%对83%)。结论:这项研究表明,与流行病相比,自我报告对事件的敏感性要差得多。自我报告的慢性病研究结果应谨慎解释。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号