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The Iranian version of 12-item Short Form Health Survey (SF-12): factor structure, internal consistency and construct validity
Open accessAbstract
BACKGROUND: The 12-item Short Form Health Survey (SF-12) as a shorter alternative of the SF-36 is largely used in health outcomes surveys. The aim of this study was to validate the SF-12 in Iran. METHODS: A random sample of the general population aged 15 years and over living in Tehran, Iran completed the SF-12. Reliability was estimated using internal consistency and validity was assessed using known groups comparison and convergent validity. In addition, the factor structure of the questionnaire was extracted by performing both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). RESULTS: In all, 5587 individuals were studied (2721 male and 2866 female). The mean age and formal education of the respondents were 35.1 (SD = 15.4) and 10.2 (SD = 4.4) years respectively. The results showed satisfactory internal consistency for both summary measures, that are the Physical Component Summary (PCS) and the Mental Component Summary (MCS); Cronbach's alpha for PCS-12 and MCS-12 was 0.73 and 0.72, respectively. Known-groups comparison showed that the SF-12 discriminated well between men and women and those who differed in age and educational status (P < 0.001). In addition, correlations between the SF-12 scales and single items showed that the physical functioning, role physical, bodily pain and general health subscales correlated higher with the PCS-12 score, while the vitality, social functioning, role emotional and mental health subscales more correlated with the MCS-12 score lending support to its good convergent validity. Finally the principal component analysis indicated a two-factor structure (physical and mental health) that jointly accounted for 57.8% of the variance. The confirmatory factory analysis also indicated a good fit to the data for the two-latent structure (physical and mental health). CONCLUSION: In general the findings suggest that the SF-12 is a reliable and valid measure of health related quality of life among Iranian population. However, further studies are needed to establish stronger psychometric properties for this alternative form of the SF-36 Health Survey in Iran.
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WARE, J. E., KOSINSKI, M., & KELLER, S. D. (1996) · Medical Care · doi:10.1097/00005650-199603000-00003 · Cited by 17,392
Marsh, H. W., Hau, K.-T., & Wen, Z. (2004) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1207/s15328007sem1103_2 · Cited by 6,691
Ware, J. E. (2000) · Spine · doi:10.1097/00007632-200012150-00008 · Cited by 4,455
Cross-Validation of Item Selection and Scoring for the SF-12 Health Survey in Nine Countries
Gandek, B., Ware, J. E., Aaronson, N. K., Apolone, G., Bjorner, J. B., Brazier, J. E., Bullinger, M., Kaasa, S., Leplege, A., Prieto, L., et al. (1998) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(98)00109-7 · Cited by 2,907
Aaronson, N. K., Muller, M., Cohen, P. D. A., Essink-Bot, M.-L., Fekkes, M., Sanderman, R., Sprangers, M. A. G., te Velde, A., & Verrips, E. (1998) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(98)00097-3 · Cited by 2,276
Correlated physical and mental health summary scores for the SF-36 and SF-12 Health Survey, V.1
Farivar, S. S., Cunningham, W. E., & Hays, R. D. (2007) · Health and Quality of Life Outcomes · doi:10.1186/1477-7525-5-54 · Cited by 412
Reliability and validity of the SF-12 health survey among people with severe mental illness
Salyers, M. P., Bosworth, H. B., Swanson, J. W., Lamb-Pagone, J., & Osher, F. C. (2000) · Medical Care · doi:10.1097/00005650-200011000-00008 · Cited by 390
Reliability and validity of the SF-12v2 in the medical expenditure panel survey
Cheak-Zamora, N. C., Wyrwich, K. W., & McBride, T. D. (2009) · Quality of Life Research · doi:10.1007/s11136-009-9483-1 · Cited by 353 · cited 1×
“As a recent publication noted since the ability to accurately and efficiently measure physical and mental health is of great importance in academic and clinical settings and the SF-12 takes less than two minutes to administer and provide such information; the questionnaire is quickly becoming one of the most popular i…”
BackgroundLuo, X., Lynn George, M., Kakouras, I., Edwards, C. L., Pietrobon, R., Richardson, W., & Hey, L. (2003) · Spine · doi:10.1097/01.brs.0000083169.58671.96 · Cited by 323
Kodraliu, P. M. (2001) · Journal of Epidemiology and Biostatistics · doi:10.1080/135952201317080715 · Cited by 209 · cited 3×
“These are consistent with results from other studies carried out in different countries such as Italy and Greece [23,25].”
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Babapour, A.-R., Gahassab-Mozaffari, N., & Fathnezhad-Kazemi, A. (2022) · BMC Nursing · doi:10.1186/s12912-022-00852-y · Cited by 462
Busija, L., Pausenberger, E., Haines, T. P., Haymes, S., Buchbinder, R., & Osborne, R. H. (2011) · Arthritis Care & Research · doi:10.1002/acr.20541 · Cited by 374
Shafiee, G., Ostovar, A., Heshmat, R., Darabi, H., Sharifi, F., Raeisi, A., Mehrdad, N., Shadman, Z., Razi, F., Amini, M. R., et al. (2017) · BMJ Open · doi:10.1136/bmjopen-2016-013606 · Cited by 94
Lin, C.-Y., Broström, A., Griffiths, M. D., & Pakpour, A. H. (2020) · Evaluation & the Health Professions · doi:10.1177/0163278719827997 · Cited by 80
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Metadata
- Authors
- Montazeri, A., Vahdaninia, M., Mousavi, S. J., & Omidvari, S.
- Venue
- BMC Public Health
- Published
- 2009-09-16
- Volume
- 9
- Issue
- 1
- Pages
- 341-341
- ISSN
- 1471-2458 (ISSN-L)
- OpenAlex
- W2153518817
- Cited by
- 349
- References
- 12
- FWCI
- 11.83
- Type
- journal article
- Language
- en
- Open access
- gold
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