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韩国国家健康风险评估工具的更新与验证。

Update and validation of a national health risk appraisal tool in Korea.

机构信息

Department of Family Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Yeongeon-dong 28, Jongno-gu, Seoul 110-744, South Korea.

出版信息

J Public Health (Oxf). 2013 Mar;35(1):107-14. doi: 10.1093/pubmed/fds061. Epub 2012 Aug 10.

Abstract

BACKGROUND

Health risk appraisal (HRA) is an effective tool for lifestyle modification. We updated a national HRA using Robbins' method and tested its validity for predicting mortality.

METHODS

We used various national statistical data (such as life tables and mortality rates) to construct a Geller-Gesner table and referred to well-designed cohort studies to calculate composite risks. We compiled an HRA age table from these data and calculated health age (HA). To test the validity of this HRA, we compared the difference in 8-year mortality among different chronological age and health age (CA-HA) categories and used age-adjusted, sex-specific Cox proportional hazard models to investigate the association between CA-HA and all-cause mortality.

RESULTS

There was a significant difference in mortality according to CA-HA category, and the Cox proportional hazard model showed that as CA-HA decreased from ≥2 to ≤-6, the cumulative survival rate was significantly decreased.

CONCLUSIONS

This HRA can be an effective tool for detecting people at risk and for motivating lifestyle modification in Korea.

摘要

背景

健康风险评估(HRA)是一种有效的生活方式改变工具。我们使用 Robbins 方法更新了一项全国性的 HRA,并测试了其预测死亡率的有效性。

方法

我们使用各种国家统计数据(如生命表和死亡率)构建了 Geller-Gesner 表,并参考了精心设计的队列研究来计算综合风险。我们从这些数据中编制了 HRA 年龄表,并计算了健康年龄(HA)。为了测试这种 HRA 的有效性,我们比较了不同实际年龄和健康年龄(CA-HA)类别之间 8 年死亡率的差异,并使用年龄调整、性别特异性 Cox 比例风险模型来研究 CA-HA 与全因死亡率之间的关系。

结果

根据 CA-HA 类别,死亡率存在显著差异,Cox 比例风险模型显示,随着 CA-HA 从≥2 降低至≤-6,累积生存率显著降低。

结论

这种 HRA 可以成为一种有效的工具,用于检测有风险的人群,并在韩国促进生活方式的改变。

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