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美国全州范围内的肥胖、吸烟、低收入和慢性病负担。

The statewide burden of obesity, smoking, low income and chronic diseases in the United States.

机构信息

Department of Biostatistics, School of Nursing, Columbia University, New York, NY 10032, USA.

出版信息

J Public Health (Oxf). 2009 Dec;31(4):496-505. doi: 10.1093/pubmed/fdp012. Epub 2009 Feb 27.

Abstract

BACKGROUND

We developed an estimation equation of EuroQol EQ-5D index scores from the Healthy Days measures of the Centers for Disease Control and Prevention for use in burden of disease and cost-effectiveness studies in population subgroups. This study estimated EQ-5D scores, quality-adjusted life years (QALYs) and quality-adjusted life expectancy (QALE) for the USA and the individual states.

METHODS

We estimated the EQ-5D scores for respondents from the 2000-2003 Behavioral Risk Factor Surveillance System. We calculated QALYs and QALE lost to morbidity due to obesity/overweight, smoking, low income and chronic diseases.

RESULTS

The mean EQ-5D score for US adults was 0.870. The mean scores ranged from 0.826 (West Virginia) to 0.902 (Hawaii). Smoking contributed from 5.6 (Utah) to 12.3 (Kentucky) percent, obesity/overweight 5.4 (South Dakota) to 13.8 (Louisiana) percent, low income 16.6 (Hawaii) to 39.9 (South Carolina) percent and chronic diseases 8.7 (Minnesota) to 22.9 (Tennessee) percent of explainable QALYs lost. These risks contributed the greatest proportion of explainable QALYs and QALE lost in Kentucky, Tennessee and South Carolina.

CONCLUSIONS

We estimated the burden of disease contributed by selected risk factors. Currently, such data are unavailable but are needed to set targets for reducing modifiable health risks and eliminating health disparities among at-risk populations.

摘要

背景

我们开发了一种使用疾病控制与预防中心健康天数测量值估算 EQ-5D 指数得分的方程,用于疾病负担和成本效益研究中的人群亚组。本研究估计了美国和各州的 EQ-5D 得分、质量调整生命年 (QALY) 和质量调整生命期望 (QALE)。

方法

我们根据 2000-2003 年行为风险因素监测系统的数据估算了受访者的 EQ-5D 得分。我们计算了因肥胖/超重、吸烟、低收入和慢性病导致的发病率而损失的 QALY 和 QALE。

结果

美国成年人的平均 EQ-5D 评分为 0.870。平均得分范围从 0.826(西弗吉尼亚州)到 0.902(夏威夷州)。吸烟导致的损失占比从 5.6%(犹他州)到 12.3%(肯塔基州),肥胖/超重导致的损失占比从 5.4%(南达科他州)到 13.8%(路易斯安那州),低收入导致的损失占比从 16.6%(夏威夷州)到 39.9%(南卡罗来纳州),慢性病导致的损失占比从 8.7%(明尼苏达州)到 22.9%(田纳西州)。这些风险因素在肯塔基州、田纳西州和南卡罗来纳州导致了可解释的 QALY 和 QALE 损失的最大比例。

结论

我们估计了选定风险因素造成的疾病负担。目前,此类数据尚不可用,但需要制定目标以减少可改变的健康风险,并消除高危人群中的健康差距。

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