Measuring physical and mental health using the SF-12: implications for community surveys of mental health
Measuring physical and mental health using the SF-12: implications for community surveys of mental health
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DOI：
10.1111/j.1440-1614.2006.01886.x
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发表时间：
2006-09-01
影响因子：
4.6
通讯作者：
Jorm, Anthony F.
中科院分区：
文献类型：
--
作者：
Windsor, Timothy D.;Rodgers, Bryan;Jorm, Anthony F.
目的：使用不同的方法来评分SF-12的身体和心理健康的总结量表的影响进行了检查，以期通知设计和解释以社区为基础的调查研究。方法：数据来自一项基于人群的研究，该研究涉及年龄在20-24岁的三个队列中的7485名参与者，使用SF-12和兰德-12评分方法，对40-44岁和60-64岁的受试者进行了研究，以检查从相同项目计算的身心健康指标之间的关系，结果：采用兰德-12评分构建的身体健康指标与Goldberg抑郁和焦虑量表测量的心理困扰呈单调负相关。然而，SF-12身体健康评分与痛苦之间的关系存在明显的非单调相关性，SF-12身体健康评分非常高与高水平的痛苦相对应。这些关系突出的困难，在解释时，可能会出现使用SF-12摘要量表在某些分析contextuals.Conclusions：建议社区调查，测量身体和精神功能的SF-12项目产生的摘要分数使用兰德-12协议，除了SF-12的方法。一般来说，研究人员应该小心使用基于正交旋转的因子得分，它假设测量是不相关的，以代表具有实际关联的结构。
Objective: The effects of using different approaches to scoring the SF-12 summary scales of physical and mental health were examined with a view to informing the design and interpretation of community-based survey research.Method: Data from a population-based study of 7485 participants in three cohorts aged 20-24, 40-44 and 60-64 years were used to examine relationships among measures of physical and mental health calculated from the same items using the SF-12 and RAND-12 approaches to scoring, and other measures of chronic physical conditions and psychological distress.Results: A measure of physical health constructed using the RAND-12 scoring showed a monotonic negative association with psychological distress as measured by the Goldberg depression and anxiety scales. However, a non-monotonic association was evident in the relationship between SF-12 physical health scores and distress, with very high SF-12 physical health scores corresponding with high levels of distress. These relationships highlight difficulties in interpretation that can arise when using the SF-12 summary scales in some analytical contexts.Conclusions: It is recommended that community surveys that measure physical and mental functioning using the SF-12 items generate summary scores using the RAND-12 protocol in addition to the SF-12 approach. In general, researchers should be wary of using factor scores based on orthogonal rotation, which assumes that measures are uncorrelated, to represent constructs that have an actual association.