The equivalence of SF-36 summary health scores estimated using standard and country-specific algorithms in 10 countries:: Results from the IQOLA Project
The equivalence of SF-36 summary health scores estimated using standard and country-specific algorithms in 10 countries:: Results from the IQOLA Project
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DOI：
10.1016/s0895-4356(98)00108-5
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发表时间：
1998-11-01
影响因子：
7.2
通讯作者：
Thunedborg, K
中科院分区：
文献类型：
--
作者：
Ware, JE;Gandek, B;Thunedborg, K
分析了来自九个欧洲国家(丹麦、法国、德国、意大利、荷兰、挪威、西班牙、瑞典和英国)的一般人口调查(n=1711至9151)的数据，以测试用于根据SF-36健康调查对身体和精神部分摘要测量(PCS-36/MCS-36)进行评分的算法。每个国家的主成分得分系数都是使用相同的因子提取和正交旋转方法独立估计的。PCS-36和MCS-36的得分也使用标准的(源自美国的)评分算法进行评估，并对结果进行比较。在所有国家的生理和心理健康部分，根据标准得分系数和特定国家得分系数估计的分数之间的乘积时刻相关性都非常高(0.98至1.00)。两种估计方法在每个国家内的身体和精神成分之间的相关性都很低(0.00到0.12)，这两种估计方法都假设为正交成分。使用标准评分，PCS-36的平均分数在不同国家之间相差3.0分，而MCS-36的平均分数在不同国家之间相差6.4分。鉴于每个国家使用标准和特定国家的算法观察到的高度等价性，我们建议在涉及这10个国家的多国研究中使用标准评分算法。(C)1998年爱思唯尔科学公司。
Data from general population surveys (n = 1711 to 9151) in nine European countries (Denmark, France, Germany, Italy, the Netherlands, Norway, Spain, Sweden, and the United Kingdom) were analyzed to test the algorithms used to score physical and mental component summary measures (PCS-36/MCS-36) based on the SF-36 Health Survey. Scoring coefficients for principal components were estimated independently in each country using identical methods of factor extraction and orthogonal rotation. PCS-36 and MCS-36 scores were also estimated using standard (U.S.-derived) scoring algorithms, and results were compared. Product-moment correlations between scores estimated from standard and country-specific scoring coefficients were very high (0.98 to 1.00) for both physical and mental health components in all countries. As hypothesized for orthogonal components, correlations between physical and mental components within each country were very low (0.00 to 0.12) for both estimation methods. Mean scores for PCS-36 differed by as much as 3.0 points across countries using standard scoring, and mean scores for MCS-36 differed across countries by as much as 6.4 points. In view of the high degree of equivalence observed within each country, using standard and country-specific algorithms, we recommend use of standard scoring algorithms for purposes of multinational studies involving these 10 countries. (C) 1998 Elsevier Science Inc.