Original Article
Validation testing of a three-component model of Short Form-36 scores

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Abstract

Objective

The two-component factor structure underlying Short Form-36 (SF-36) summary scores may not be valid worldwide. We studied a three-component model of SF-36 scores in Japan.

Study Design and Setting

The SF-36 scores came from representative samples of the population of Japan. Factor analysis and structural equation modeling were used. The two-component model gave physical component summary (PCS) scores and mental component summary (MCS) scores. The three-component model gave scores on the PCS, the MCS, and also on the third component, which we call the role component summary (RCS) score. These were evaluated with external criteria.

Results

In the three-component model, the RCS was strongly associated with the role-physical, social functioning, and role-emotional subscales, whereas the PCS and MCS were associated with the physical functioning and mental health subscales, as expected. The goodness-of-fit index was 0.945 for the three-component model and 0.935 for the two-component model. The PCS discriminated between groups stratified by comorbid conditions, and the MCS discriminated between groups stratified by psychological depression. Absence from work was associated with both PCS and RCS.

Conclusion

The three-component model is better than the two-component model, and it provides more useful PCS and MCS scores. Criteria for validation testing of the RCS are needed.

Introduction

What is new?

  • For SF-36 scores in Japan, using a model that includes three components (role-social, physical, and mental) solves problems that arise when a simpler model is used.

Measures of health-related quality of life are often based on explicit conceptual models. The model associated with the original, US-English version of the Short Form-36 (SF-36) has eight subscales [1], [2]. The four subscales measuring physical functioning (PF), limitations on role functioning because of physical health (RP), bodily pain (BP), and general health (GH) are often given the greatest weights to form a “physical component.” The other four, which measure mental health (MH), limitations on role functioning because of emotional problems (RE), social functioning (SF), and vitality (VT) are the greatest contributors to a “mental component” [3]. “The physical and mental components are conceived as being parts of a higher-order concept: health-related quality of life” [1], [4]. Through the International Quality of Life Assessment project [5], translated and adapted versions of the SF-36 were made available for use in many countries and language-based cohorts. The SF-36 has been used worldwide, and results from studies done in East Asia have now brought its original conceptual model into question.

Factor structures differing from that found in Western countries have been found in Japan [6], China [7], [8], Singapore [9], and Taiwan [10], although not in Hong Kong [11]. In Japan, Fukuhara et al. [6] found that the factor structure of the SF-36 differed from that in other countries in three ways: (1) Scores on the role-emotional (RE) subscale loaded strongly on the “mental” component in the United States and in Western European countries, but they loaded strongly on the “physical” component in Japan. (2) Scores on the VT subscale loaded strongly on the “physical” component in the other countries, but they loaded strongly on the “mental” component in Japan. (3) Scores on the BP subscale loaded strongly on the “physical” component in the other countries, but they loaded strongly on both the “mental” and the “physical” components in Japan.

The original SF-36 measurement model has also been reconsidered in the light of findings from Western countries. Using structural equation modeling and data from the United States and Europe, Keller et al. [4] found support for explanations invoking a “general well-being” factor at the same level as the “physical” and “mental” factors, and also a single higher-level factor (interpreted as “health”). Five years later, Ware [12] proposed a model including a “participation (role, social)” factor in addition to the “physical” and “mental” factors.

In addition to the eight subscale scores, physical component summary (PCS) scores and mental component summary (MCS) scores are often computed, at least in Western countries. As convenient as these summary scores may be, their validity depends on the appropriateness of the two-factor model. The differences in factor structure between Western and Asian countries, and appreciation of the value of role and social participation as an independent domain, have led to proposals for three-component summaries of SF-36 scores. For example, using structural equation modeling, Huang et al. [13] found a good fit between SF-36 data from the general population of Taiwan and a model with three second-order components (which they interpreted as physical, mental, and social) and one third-order component (which they interpreted as health).

To develop a more appropriate way to summarize SF-36 scores, we compared a model with two components (mental and physical) to a model with three components (mental, physical, and role-social).

Section snippets

Sample

To study the factor structure of the SF-36 scores and to determine how to compute the three summary scores, we used data from the 2002 national norm survey done in Japan (sample 1, n = 2,966) [14]. For validation tests of the three-component model, we used data from the 1995 national norm survey [6] (sample 2, n = 3,395; some data used for validation tests were missing in 308 cases; hence, the total number used was 3,087). All residents of Japan who were 20 through 80 years old were potential

Exploratory factor analysis

The three-component subscale-level model explained a total of 76.3% of the variance (Table 1). The PF subscale loaded most strongly on the physical factor and the MH subscale loaded most strongly on the mental factor. The RP, RE, and SF subscales loaded most strongly on the role-social factor. The loading of the MH subscale on the physical factor was very weak (0.023), as was the loading of the PF subscale on the mental factor (0.095).

On the other hand, the two-component subscale-level model

Factor structure

Overall, these results from Japan support the three-component model over the two-component model. The results of exploratory factor analysis showed that the three-component subscale-level model explained about 15% more of the total variance than did the two-component subscale-level model (76% vs. 60%). The three-component subscale-level model also met seven of the eight criteria that were set at the start of the study. The only exception was criterion 3. Specifically, the subscale correlated

Conclusion

These findings support the use of a three-component model of SF-36 scores in Japan. They can be interpreted as successful validation testing of the PCS and MCS scores that are based on this three-component model. When the role-social concept is used as described here, the problems associated with using PCS and MCS scores are solved, and we expect that the PCS and MCS scores computed with the algorithms developed in this work will be useful in many contexts in Japan.

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