Correlated physical and mental health summary scores for the SF-36 and SF-12 Health Survey, V.1
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BioMed Central
Open Access
Research
Correlated physical and mental health summary scores for the SF-36 and SF-12 Health Survey, V.1 Sepideh S Farivar*1, William E Cunningham2 and Ron D Hays2,3,4 Address: 1Global Health Economics, Amgen, Inc., Thousand Oaks, CA, USA, 2UCLA, School of Public Health, Los Angeles, CA, USA, 3UCLA, Department of Medicine, Los Angeles, CA, USA and 4RAND, Health Program, Santa Monica, CA, USA Email: Sepideh S Farivar* - [email protected]; William E Cunningham - [email protected]; Ron D Hays - [email protected] * Corresponding author
Published: 7 September 2007 Health and Quality of Life Outcomes 2007, 5:54
Received: 22 January 2007 Accepted: 7 September 2007
doi:10.1186/1477-7525-5-54
This article is available from: http://www.hqlo.com/content/5/1/54 © 2007 Farivar et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract Background: The SF-36 and SF-12 summary scores were derived using an uncorrelated (orthogonal) factor solution. We estimate SF-36 and SF-12 summary scores using a correlated (oblique) physical and mental health factor model. Methods: We administered the SF-36 to 7,093 patients who received medical care from an independent association of 48 physician groups in the western United States. Correlated physical health (PCSc) and mental health (MCSc) scores were constructed by multiplying each SF-36 scale z-score by its respective scoring coefficient from the obliquely rotated two factor solution. PCSc12 and MCSc-12 scores were estimated using an approach similar to the one used to derive the original SF-12 summary scores. Results: The estimated correlation between SF-36 PCSc and MCSc scores was 0.62. There were far fewer negative factor scoring coefficients for the oblique factor solution compared to the factor scoring coefficients produced by the standard orthogonal factor solution. Similar results were found for PCSc-12, and MCSc-12 summary scores. Conclusion: Correlated physical and mental health summary scores for the SF-36 and SF-12 derived from an obliquely rotated factor solution should be used along with the uncorrelated summary scores. The new scoring algorithm can reduce inconsistent results between the SF-36 scale scores and physical and mental health summary scores reported in some prior studies. (Subscripts C = correlated and UC = uncorrelated)
Background Health-related quality of life (HRQOL) refers to functioning and well-being in physical, mental and social dimensions of life. The SF-36 and the SF-12 are the most frequently used multi-item HRQOL instruments [1,2]. The SF-36 is composed of 8 multi-item scales (35 items) assessing physical function (10 items), role limitations due to physical health problems (4 items), bodily pain (2
items), general health (5 items), vitality (4 items), soc
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