Ethics code: IR.GUILAN.REC.1400.025
1- Department of Psychology, University of Guilan, Rasht, Iran
Abstract: (15 Views)
Objectiv(s): One of the effective factors in the mental health of adolescents is their quality of life, and measuring the quality of life of adolescents, who are in a vulnerable developmental period, using existing tools plays a significant role in evaluating healthcare services. The aim of the present study is to determine the psychometric properties of the Persian short version of the Youth Quality of Life Instrument (YQOL-SF).
Methods: This descriptive study is a type of tool validation. The statistical population consisted of adolescents aged 11 to 18 years in northern Iran in the year 2021. From this population, 700 individuals were selected through purposive sampling and voluntarily and with informed consent responded to the short version of the Youth Quality of Life Instrument by Patrick and Edwards (YQOL-SF), the KIDSCREEN-27 health-related quality of life questionnaire, and the Birleson Depression Self-Rating Scale for Children (DSRS-C). This research included five sub-studies, and the data were processed using SPSS-24 and AMOS-24 software.
Results: The test-retest reliability of the Persian version (P-YQOL-SF) was 0.886 (p<0.0001) over a three-week interval. The Cronbach's alpha coefficient for the entire questionnaire was estimated to be 0.895. In the confirmatory factor analysis, the factor loadings of all 15 items of the P-YQOL-SF were greater than 0.30, and the fit indices of the modified Persian model (PCFI=0.757, PNFI=0.742, CMIN/DF=2.513, RMSEA=0.048, IFI=0.969, CFI=0.969, GFI=0.961) confirmed the one-factor model of the P-YQOL-SF. Correlation coefficients between the total score of P-YQOL-SF and the subscales of KIDSCREEN-27, except for the school environment, were higher than 0.30, ranging from 0.340 to 0.541. The same coefficients with the subscales of DSRS-C were obtained as -0.183. Normative data for P-YQOL-SF were established based on converting raw scores to standardized z and T scores and percentile ranks (n=700). The results of differential validity indicated that the total score of P-YQOL-SF in the normative group was higher than in the group of adolescents with physical-motor disabilities.
Conclusion: P-YQOL-SF is a reliable tool with satisfactory validity coefficients for use in the Iranian adolescent population.
Methods: This descriptive study is a type of tool validation. The statistical population consisted of adolescents aged 11 to 18 years in northern Iran in the year 2021. From this population, 700 individuals were selected through purposive sampling and voluntarily and with informed consent responded to the short version of the Youth Quality of Life Instrument by Patrick and Edwards (YQOL-SF), the KIDSCREEN-27 health-related quality of life questionnaire, and the Birleson Depression Self-Rating Scale for Children (DSRS-C). This research included five sub-studies, and the data were processed using SPSS-24 and AMOS-24 software.
Results: The test-retest reliability of the Persian version (P-YQOL-SF) was 0.886 (p<0.0001) over a three-week interval. The Cronbach's alpha coefficient for the entire questionnaire was estimated to be 0.895. In the confirmatory factor analysis, the factor loadings of all 15 items of the P-YQOL-SF were greater than 0.30, and the fit indices of the modified Persian model (PCFI=0.757, PNFI=0.742, CMIN/DF=2.513, RMSEA=0.048, IFI=0.969, CFI=0.969, GFI=0.961) confirmed the one-factor model of the P-YQOL-SF. Correlation coefficients between the total score of P-YQOL-SF and the subscales of KIDSCREEN-27, except for the school environment, were higher than 0.30, ranging from 0.340 to 0.541. The same coefficients with the subscales of DSRS-C were obtained as -0.183. Normative data for P-YQOL-SF were established based on converting raw scores to standardized z and T scores and percentile ranks (n=700). The results of differential validity indicated that the total score of P-YQOL-SF in the normative group was higher than in the group of adolescents with physical-motor disabilities.
Conclusion: P-YQOL-SF is a reliable tool with satisfactory validity coefficients for use in the Iranian adolescent population.
type of study: Descriptive |
Subject:
Health Metrics
Received: 2024/12/30 | Accepted: 2025/07/20 | ePublished ahead of print: 2026/06/3
Received: 2024/12/30 | Accepted: 2025/07/20 | ePublished ahead of print: 2026/06/3
References
1. Kwok C, Leung PY, Poon KY, Fung XC. The effects of internet gaming and social media use on physical activity, sleep, quality of life, and academic performance among university students in Hong Kong: A preliminary study. Asian Journal of Social Health and Behavior 2021;4:36-44 [DOI:10.4103/shb.shb_81_20]
2. Ravens-Sieberer U, Kaman A, Erhart M, Otto C, Devine J, Löffler C, et al. Quality of life and mental health in children and adolescents during the first year of the COVID-19 pandemic: results of a two-wave nationwide population-based study. European Child & Adolescent Psychiatry 2021;1-14 [DOI:10.2139/ssrn.3798710]
3. World Health Organization. The World Health Organization Quality of Life (WHOQOL)-BREF. No. WHO/HIS/HSI Rev. 2012.02. World Health Organization 2004 [Accessed 2023 Oct 10]. Available from: https://www.who.int/tools/whoqol/whoqol-bref/docs/default-source/publishing-policies/whoqol-bref/farsi-whoqol-bref
4. McConachie H, Mason D, Parr JR, Garland D, Wilson C, Rodgers J. Enhancing the validity of a quality of life measure for autistic people. Journal of Autism and Developmental Disorders 2018;48:1596-1611 [DOI:10.1007/s10803-017-3402-z]
5. Javadi S, Golparvar M, Izadi R. Comparison of the Effectiveness of three methods of Family Mode Deactivation Treatment, Cognitive-Behavioral Therapy and Acceptance and Commitment Therapy on Quality of life of Mothers and Aggression of Female adolescents with Behavioral Problems. Iranian Nursing Scientific Association. Iranian Journal of Psychiatric Nursing 2020;8:79-92 [Persian]
6. Akbari B, Ghasemi Jobaneh R, Asadiparvar M. Role of coping strategies with stress in resiliency and quality of life of female adolescents with veteran father. Iranian Journal of War and Public Health 2017;9:199-203 [Persian] [DOI:10.29252/acadpub.ijwph.9.4.199]
7. Post M. Definitions of quality of life: what has happened and how to move on. Topics in Spinal Cord Injury Rehabilitation 2014; 20:167-180 [DOI:10.1310/sci2003-167]
8. Krishnan SRG, Sethuramalingam V. The history, concept, and theories of quality of life of youth. International Journal of Multidisciplinary Educational Research 2017; 6:161
9. Asadi Hasanvand A, Sodani M, Abbaspour Z. The effectiveness of solution-focused group therapy on improving the quality of life of children. Nursing and Midwifery Journal 2017; 15:449-459 [Persian]
10. Damiani PE, Tanikawa DYS, Mattos BSC, Paiva TBS, André M. Portuguese translation and validation of the YQOL-FD (Youth Quality of Life Instrument-Facial Differences) for Brazilian adolescents with craniofacial deformities. Bioscience Journal 2020;36: 1778- 1784 [DOI:10.14393/BJ-v36n5a2020-48996]
11. Hoang MT, Do HN, Dang TQ, Do HT, Nguyen TT, Nguyen LH, et al. Cross-cultural adaptation and measurement properties of Youth Quality of Life Instrument-Short Form (YQOL-SF) in a developing South-East Asian country. PLOS ONE 2021;16:e0253075 [DOI:10.1371/journal.pone.0253075]
12. Seattle Quality of Life Group. Youth Quality of Life-Short Form Instrument (YQOL-SF) [Internet]. Seattle (WA): University of Washington; [Accessed 2023 Oct 10]. Available from: http://depts.washington.edu/seaqol/YQOL-SF
13. Edwards TC, Patrick DL, Topolski TD. Quality of life of adolescents with perceived disabilities. Journal of Pediatric Psychology 2003;28:233-241 [DOI:10.1093/jpepsy/jsg011]
14. Patrick DL, Edwards TC. Youth quality of life instrument - short form (YQOL-SF) version 2.0 2013 Jan 02 [Accessed 2025 Jul 20]. Available from: https://youthrex.com/wp-content/uploads/2019/10/YQoL-TM.pdf
15. Robitail S, Ravens-Sieberer U, Simeoni MC, Rajmil L, Bruil J, Power M, et al. Testing the structural and cross-cultural validity of the KIDSCREEN-27 quality of life questionnaire. Quality of Life Research 2007;16:1335-1345 [DOI:10.1007/s11136-007-9241-1]
16. Birleson P. The validity of depressive disorder in childhood and the development of a self-rating scale: a research report. Journal of Psychology and Psychiatry 1981; 22:73-88 [DOI:10.1111/j.1469-7610.1981.tb00533.x]
17. Harkness J. Translation, in Cross-cultural surveys guidelines: Comparative Survey Design and Implementation (CSDI) Guidelines Initiative; 2011 [Accessed 2023 Oct 10]. Available from: http://ccsg.isr.umich.edu/translation.cfm
18. Munro BH. Statistical Methods for Health Care Research. 1st Edition, Lippincott Williams & Wilkins: Philadelphiaو 2004
19. Bentler PM, Chou CP. Practical issues in structural modeling. Sociological Methods & Research 1987;16:78-117 [DOI:10.1177/0049124187016001004]
20. Kline RB. Data preparation and psychometrics review. In: Principles and Practice of Structural Equation Modeling. 5th Edition, NY: Guilford Press; New York, 2016
21. Lemeshow S, Hosmer DW, Klar J, Lwanga SK. Adequacy of Sample Size in Health Studies. Chichester (UK); New York: Wiley for the World Health Organization; 1990. ISBN: 0471925179
22. Patrick DL, Edwards TC, Topolski TD. Adolescent quality of life, part II: initial validation of a new instrument. Journal of Adolescence 2002;25:287-300 [DOI:10.1006/jado.2002.0471]
23. Nik-Azin A, Naeinian MR, Shairi MR. Validity and Reliability of Health Related Quality of Life Questionnaire "KIDSCREEN-27" in a Sample of Iranian Students. Iranian Journal of Psychiatry and Clinical Psychology 2013;18:310-321 [Persian]
24. Mokhtarnia I, Habibi M, Kholghi H, Mohammadi E, Kalantari F. The Study of psychometric properties of the self-rating depression scale for children and adolescents. Rooyesh 2018;7:1-22 [Persian]
25. Westen D, Rosenthal R. Quantifying construct validity: two simple measures. Journal of Personality and Social Psychology 2003;84:608 [DOI:10.1037/0022-3514.84.3.608]
26. Cohen J. Statistical power analysis. Current Directions in Psychological Science 1992;1:98-101 [DOI:10.1111/1467-8721.ep10768783]
27. Blunch N. Introduction to Structural Equation Modeling Using IBM SPSS Statistics and AMOS. 2th Edition, Sage: UK, 2012 [DOI:10.4135/9781526402257]
28. Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate Data Analysis. 7th Edition. Upper Saddle River, NJ, Pearson: UK, 2010
29. Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2th Edition. Hillsdale, NJ: Lawrence Erlbaum Associates: USA, 1988
30. Salum GA, Patrick DL, Isolan LR, Manfro GG, Fleck MP. Youth Quality of Life Instrument-Research version (YQOL-R): psychometric properties in a community sample. Jornal de Pediatria 2012;88:443-448 [DOI:10.2223/JPED.2193]
31. Soltani R, Kafee S, Salehi I, Karashki H, Rezaee S. Survey the Quality of Life in Guilan University Students. Journal of Guilan University of Medical Sciences 2010;19:25-35 [Persian]
32. Viira R, Koka A. Gender differences in health-related quality of life among Estonian adolescents: a 6-month follow-up. Acta Kinesiologiae Universitatis Tartuensis 2012;18:84-93 [DOI:10.12697/akut.2012.18.09]
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