The impact of symptoms and impairments on overall health in US national health data.
The impact of symptoms and impairments on overall health in US national health data.
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DOI：
10.1097/mlr.0b013e318179199f
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发表时间：
2008-09
期刊：
影响因子：
3
通讯作者：
Cutler DM
中科院分区：
文献类型：
--
作者：
Stewart ST;Woodward RM;Rosen AB;Cutler DM
评估国家调查中经常询问的各种症状和损伤对整体自评健康的影响。我们使用 2002 年全国代表性医疗支出小组调查 (MEPS) 中的成年人数据，并在 2000 年 MEPS 的独立样本中进行验证。回归分析用于将损伤和症状与一般健康状况的 100 分自我评分联系起来。每种损伤和症状对健康相关生活质量 (HRQOL) 的影响是根据回归系数估计的，并考虑了它们之间的相互作用。与整体健康最密切相关的损伤和症状包括疼痛、自我护理限制以及精力不足或没有精力。最常见的是中度疼痛、严重焦虑、中度抑郁症状和精力不足。在不同的 MEPS 浪潮中，效果都是稳定的，而且问题涵盖的损伤和症状比现有的健康测量工具更广泛。该方法利用现有国家数据中有关损伤和症状的丰富细节，量化它们对整体健康的独立影响。考虑到这些数据的持续可用性和传统实用方法的缺点，将现有的 HRQOL 测量与其他方法（例如本文提出的方法）进行比较，用于跟踪一段时间内的人口健康状况将是有价值的。
To assess the effects on overall self-rated health of the broad range of symptoms and impairments that are routinely asked about in national surveys. We use data from adults in the nationally representative Medical Expenditure Panel Survey (MEPS) 2002 with validation in an independent sample from MEPS 2000. Regression analysis is used to relate impairments and symptoms to a 100-point self-rating of general health status. The effect of each impairment and symptom on health-related quality of life (HRQOL) is estimated from regression coefficients, accounting for interactions between them. Impairments and symptoms most strongly associated with overall health include pain, self-care limitations, and having little or no energy. The most prevalent are moderate pain, severe anxiety, moderate depressive symptoms, and low energy. Effects are stable across different waves of MEPS, and questions cover a broader range of impairments and symptoms than existing health measurement instruments. This method makes use of the rich detail on impairments and symptoms in existing national data, quantifying their independent effects on overall health. Given the ongoing availability of these data and the shortcomings of traditional utility methods, it would be valuable to compare existing HRQOL measures to other methods, such as the one presented herein, for use in tracking population health over time.