Validation of the Arabic version of the "12-item short-form health survey" (SF-12) in a sample of Lebanese adults

Chadia Haddad, Hala Sacre, Sahar Obeid, Pascale Salameh, Souheil Hallit, Chadia Haddad, Hala Sacre, Sahar Obeid, Pascale Salameh, Souheil Hallit

Abstract

Background: In clinical practice, quality of life measures can be used alongside some types of assessment to give valuable information that can identify areas that influence an individual and help the clinician make the best healthcare choices. This study aimed to investigate the psychometric properties of the Arabic version of the 12-item short-form health survey (SF-12) in a sample of Lebanese adults.

Methods: This cross-sectional study performed between July and November 2019 recruited 269 participants. Cronbach's alpha was used to assess the reliability of the SF-12 questionnaire, and a factor analysis using the principal component analysis was performed to confirm its construct validity.

Results: The mean score for the "physical component summary (PCS-12)" was 50.27 ± 8.94 (95 % CI: 49.18-51.36) and for the "Mental component summary (MCS-12)" was 44.95 ± 12.17 (95 % CI: 43.47-46.43). A satisfactory Cronbach's alpha was found for the two components: MCS (α = 0.707) and PCS (α = 0.743). The principal component analysis converged over a two-factor solution (physical and mental), explaining a total variance of 55.75 %. Correlations between the SF-12 scales and single items were significant, showing a good construct validity. The "physical functioning", "role physical", "bodily pain", and "general health" subscales were highly associated with "PCS-12", while the "vitality", "social functioning", "role emotional", and "mental health" subscales were more associated with MCS-12.

Conclusions: The Arabic version of the SF-12 is a reliable, easy-to-use, and valid tool to measure health-related quality of life in the general population. Future studies using a larger sample size and focusing on questionnaire psychometric properties are necessary to confirm our findings.

Keywords: Arabic; Lebanon; Quality of life; SF-12; Validation.

Conflict of interest statement

The authors have nothing to disclose.

References

    1. World Health Organization. Measuring quality of life: The World Health Organization quality of life instruments (the WHOQOL-100 and the WHOQOL-BREF). WHOQOL-measuring quality of life, 1997.
    1. Centers for Disease Control and Prevention. Health-Related Quality of Life (HRQOL). Available at: . [Last Accessed 13 Mar 2020]. 2018.
    1. Higginson IJ, Carr AJ. Using quality of life measures in the clinical setting. Bmj. 2001;322(7297):1297–300. doi: 10.1136/bmj.322.7297.1297.
    1. World Health Organization, WHOQOL: Measuring quality of life. 2020. Available at: [Last Accessed 22 Mar 2020].
    1. Dew M, Simmons R. The advantage of multiple measures of quality of life. Scand J Urol Nephrol Suppl. 1990;131:23–30.
    1. Ware J, et al., SF-36 Health Survey. Manual and interpretation guide. Second printing. Boston: The Health Institute. 1997.
    1. Ware JE, et al. SF-36 physical and mental health summary scales: a user’s manual. 1994.
    1. Ware JE Jr, Kosinski M, Keller SD. A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity. Med Care. 1996;34(3):220–33.
    1. Jenkinson C, Layte R. Development and testing of the UK SF-12. J Health Serv Res Policy. 1997;2(1):14–8. doi: 10.1177/135581969700200105.
    1. Andrews G. A brief integer scorer for the SF-12: validity of the brief scorer in Australian community and clinic settings. Aust N Z J Public Health. 2002;26(6):508–10. doi: 10.1111/j.1467-842X.2002.tb00357.x.
    1. Kontodimopoulos N, et al. Validity of SF-12 summary scores in a Greek general population. Health Qual Life Outcomes. 2007;5(1):55. doi: 10.1186/1477-7525-5-55.
    1. Mols F, Pelle AJ, Kupper N. Normative data of the SF-12 health survey with validation using postmyocardial infarction patients in the Dutch population. Qual Life Res. 2009;18(4):403–14. doi: 10.1007/s11136-009-9455-5.
    1. Shu-Wen S, Dong W. The reliability and validity of short form-12 health survey version 2 for Chinese older adults. Iran J Publ Health. 2019;48(6):1014.
    1. Montazeri A, et al. The 12-item medical outcomes study short form health survey version 2.0 (SF-12v2): a population-based validation study from Tehran. Iran Health Qual Life Outcomes. 2011;9(1):12. doi: 10.1186/1477-7525-9-12.
    1. Montazeri A, et al. The Iranian version of 12-item short form health survey (SF-12): factor structure, internal consistency and construct validity. BMC Public Health. 2009;9(1):341. doi: 10.1186/1471-2458-9-341.
    1. Gandhi SK, et al. Psychometric evaluation of the 12-item short-form health survey (SF-12) in osteoarthritis and rheumatoid arthritis clinical trials. Clin Therapeut. 2001;23(7):1080–98. doi: 10.1016/S0149-2918(01)80093-X.
    1. Kathe N, et al. Assessment of reliability and validity of SF-12v2 among a diabetic population. Value Health. 2018;21(4):432–40. doi: 10.1016/j.jval.2017.09.007.
    1. Kodraliu G, et al. Subjective health status assessment: evaluation of the Italian version of the SF-12 health survey. Results from the MiOS project. J Epidemiol Biostat. 2001;6(3):305–16. doi: 10.1080/135952201317080715.
    1. Hoffmann C, et al. Psychometric properties of a Russian version of the SF-12 health survey in a refugee population. Compr Psychiatr. 2005;46(5):390–7. doi: 10.1016/j.comppsych.2004.12.002.
    1. Guermazi M, et al. Translation in Arabic, adaptation and validation of the SF-36 Health Survey for use in Tunisia. Ann Phys Rehab Med. 2012;55(6):388–403. doi: 10.1016/j.rehab.2012.05.003.
    1. Khader S, Hourani M, Al-Akour N. Normative data and psychometric properties of short form 36 health survey (SF-36, version 1.0) in the population of north Jordan. East Mediterr Health J. 2011;17(5):368–74. doi: 10.26719/2011.17.5.368.
    1. Sheikh KA, et al. Reliability and validity of the arabic Version of the SF-36 health survey questionnaire in population of Khat Chewers—Jazan Region-Kingdom of Saudi Arabia. Appl Res Qual Life. 2015;10(1):1–13. doi: 10.1007/s11482-013-9291-1.
    1. Sabbah I, et al. Quality of life in rural and urban populations in Lebanon using SF-36 health survey. Health Qual Life Outcomes. 2003;1(1):30. doi: 10.1186/1477-7525-1-30.
    1. Obtel M, et al. Cross-cultural adaptation of the 12-Item Short-Form survey instrument in a Moroccan representative survey. Southern Afr J Epidemiol Infect. 2013;28(3):166–71. doi: 10.1080/10158782.2013.11441540.
    1. Al-Shehri AH, et al. Health-related quality of life in type 2 diabetic patients. Ann Saudi Med. 2008;28(5):352–60. doi: 10.5144/0256-4947.2008.352.
    1. Sacre H, et al. Factors associated with quality of life among community pharmacists in Lebanon: results of a cross-sectional study. Pharm Pract. 2019;17(4):1613.
    1. Hallit S, et al. Identification of factors affecting the quality of life among patients with addiction in Lebanon. J Nerv Ment Dis. 2019;207(5):378–83. doi: 10.1097/NMD.0000000000000982.
    1. Comrey AL, Lee HB A first course in factor analysis. 2013: Psychology Press.
    1. Ware J, Kosinski M, Keller S, How to score the SF-12 physical and mental health summary scales. Lincoln: Quality Metric. Inc. Google Scholar, 1998.
    1. Kanyongo GY. Determining the correct number of components to extract from a principal components analysis: A Monte Carlo study of the accuracy of the scree plot. J Modern Appl Stat Methods. 2005;4(1):13. doi: 10.22237/jmasm/1114906380.
    1. Ellis JL. Factor analysis and item analysis. Applying Statistics in Behavioural Research, 2017: p. 11–59.
    1. Ware J, Kosinski M, Keller S. SF-36 physical and mental health summary scales. a user’s manual. 2001: p. 1994.

Source: PubMed

3
Předplatit