The factor structure of the SF-36 Health Survey in 10 countries: results from the IQOLA Project. International Quality of Life Assessment.

Studies of the factor structure of the SF-36 Health Survey are an important step in its construct validation. Its structure is also the psychometric basis for scoring physical and mental health summary scales, which are proving useful in simplifying and interpreting statistical analyses. To test the generalizability of the SF-36 factor structure, product-moment correlations among the eight SF-36 Health Survey scales were estimated for representative samples of general populations in each of 10 countries. Matrices were independently factor analyzed using identical methods to test for hypothesized physical and mental health components, and results were compared with those published for the United States. Following simple orthogonal rotation of two principal components, they were easily interpreted as dimensions of physical and mental health in all countries. These components accounted for 76% to 85% of the reliable variance in scale scores across nine European countries, in comparison with 82% in the United States. Similar patterns of correlations between the eight scales and the components were observed across all countries and across age and gender subgroups within each country. Correlations with the physical component were highest (0.64 to 0.86) for the Physical Functioning, Role Physical, and Bodily Pain scales, whereas the Mental Health, Role Emotional, and Social Functioning scales correlated highest (0.62 to 0.91) with the mental component. Secondary correlations for both clusters of scales were much lower. Scales measuring General Health and Vitality correlated moderately with both physical and mental health components. These results support the construct validity of the SF-36 translations and the scoring of physical and mental health components in all countries studied.

[1]  Margaret L. Harris,et al.  A Factor Analytic Interpretation Strategy , 1971 .

[2]  John E. Ware,et al.  SF-36 physical and mental health summary scales : a user's manual , 1994 .

[3]  W H Rogers,et al.  Comparison of methods for the scoring and statistical analysis of SF-36 health profile and summary measures: summary of results from the Medical Outcomes Study. , 1995, Medical care.

[4]  R. Cattell Comparing factor trait and state scores across ages and cultures. , 1969, Journal of gerontology.

[5]  N K Aaronson,et al.  An empirical comparison of four generic health status measures. The Nottingham Health Profile, the Medical Outcomes Study 36-item Short-Form Health Survey, the COOP/WONCA charts, and the EuroQol instrument. , 1997, Medical care.

[6]  J E Ware,et al.  Methods for validating and norming translations of health status questionnaires: the IQOLA Project approach. International Quality of Life Assessment. , 1998, Journal of clinical epidemiology.

[7]  T. Bice,et al.  Comparisons of health-related attitudes: a cross-national, factor analytic study. , 1971, Social science & medicine.

[8]  J. Mccallum The SF-36 in an Australian sample: validating a new, generic health status measure. , 2010, Australian journal of public health.

[9]  J. R. Royce,et al.  Detecting cross-cultural commonalities and differences: Intergroup factor analysis. , 1975 .

[10]  C. McHorney,et al.  Comparisons of the Costs and Quality of Norms for the SF-36 Health Survey Collected by Mail Versus Telephone Interview: Results From a National Survey , 1994, Medical care.

[11]  James Jaccard,et al.  Cross-cultural model testing: Toward a solution of the etic-emic dilemma. , 1976 .

[12]  H. Triandis,et al.  Measurement in Cross-Cultural Psychology , 1985 .

[13]  C. Jenkinson,et al.  Development and testing of the Medical Outcomes Study 36-Item Short Form Health Survey summary scale scores in the United Kingdom. Results from a large-scale survey and a clinical trial. , 1997, Medical care.

[14]  J. Ware,et al.  Usefulness of the SF-36 Health Survey in Measuring Health Outcomes in the Depressed Elderly , 1996, Journal of geriatric psychiatry and neurology.

[15]  T. Perneger,et al.  Validation of a French-language version of the MOS 36-Item Short Form Health Survey (SF-36) in young healthy adults. , 1995, Journal of clinical epidemiology.

[16]  C. McHorney,et al.  The MOS 36‐Item Short‐Form Health Survey (SF‐36): II. Psychometric and Clinical Tests of Validity in Measuring Physical and Mental Health Constructs , 1993, Medical care.

[17]  M Sullivan,et al.  Tests of data quality, scaling assumptions, and reliability of the SF-36 in eleven countries: results from the IQOLA Project. International Quality of Life Assessment. , 1998, Journal of clinical epidemiology.

[18]  F.J.R. van de Vijver,et al.  Methods and Data Analysis for Cross-Cultural Research , 1997 .

[19]  H. Harman Modern factor analysis , 1961 .

[20]  C. Sherbourne,et al.  The MOS 36-Item Short-Form Health Survey (SF-36) , 1992 .

[21]  Paul A. Schwarz,et al.  Adapting Tests To the Cultural Setting , 1963 .

[22]  P M Bentler,et al.  Use of structural equation modeling to test the construct validity of the SF-36 Health Survey in ten countries: results from the IQOLA Project. International Quality of Life Assessment. , 1998, Journal of clinical epidemiology.

[23]  M Sullivan,et al.  Translating health status questionnaires and evaluating their quality: the IQOLA Project approach. International Quality of Life Assessment. , 1998, Journal of clinical epidemiology.

[24]  M Sullivan,et al.  The equivalence of SF-36 summary health scores estimated using standard and country-specific algorithms in 10 countries: results from the IQOLA Project. International Quality of Life Assessment. , 1998, Journal of clinical epidemiology.