Skip to main content
Log in

Construction and validation of a quality of life instrument for young adults

  • Published:
Quality of Life Research Aims and scope Submit manuscript

Abstract

Assessment of quality of life (QOL) in young adults has become an increasingly important field of research as information on the QOL of children and adults accumulates. The purpose of this study is to report on the development of the Young Adult Quality Of Life (YAQOL) instrument, a measure of QOL for young adults aged 18–25. The YAQOL, which is comprised of 14 multi-item scales that assess physical health and aspects of psychological well-being, social relationships, role function, and environmental context, was administered to a general population sample of 751 young adults. Scale structure was confirmed by item-internal consistency, item discriminant validity, and inter-scale correlations. Reliability coefficients ranged from 0.88 to 0.63 across scales (mean = 0.73). Eight YAQOL scales discriminated clearly between young adults with and without chronic physical conditions, 12 scales discriminated between young adults with and without personality disorder, and negative associations were demonstrated between YAQOL scale scores and psychiatric disorder symptoms. Demographic differences in the YAQOL scales were consistent with theoretical expectations and previous empirical work. Overall, findings support the reliability and utility of the YAQOL as a measure of QOL in young adults in the general population. Additional psychometric properties will continue to be evaluated as more data become available.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Eisen M, Ware J, Donald C. Measuring components of children's health status. Med Care 1979; 17: 902-921.

    Google Scholar 

  2. Varni JW, Seid M, Rode CA. The PedsQLTM: Measurement model for the Pediatric Quality of Life Inventory. Med Care 1999; 37(2): 126-139.

    Google Scholar 

  3. Landgraf JM, Maunsell E, Speechley KN, et al. Canadian-French, German and UK versions of the child health questionnaire: Methodology and preliminary item scaling results. Qual Life Res 1998; 7(5): 433-445.

    Google Scholar 

  4. Landgraf JM, Abetz LN. Functional status and well-being of children representing three cultural groups: Initial self-reports using the CHQ-CF87. Psychol Health 1997; 12: 839-854.

    Google Scholar 

  5. Patrick DL, Edwards TC, Topolski TD. Adolescent quality of life, part 2: Initial validation of a new instrument. J Adolescence 2002; 25: 287-300.

    Google Scholar 

  6. Collier J, Mackinley D, Phillips D. Norm values for the generic children's quality of life measure (GCQ) from a large school-based sample. Qual Life Res 2000; 9: 617-623.

    Google Scholar 

  7. Fekkes M, Theunissen NCM, Brugman E, et al. Development and psychometric evaluation of the TAPQOL: A health-related quality of life instrument for 1–5-year-old children. Qual Life Res 2000; 9: 961-972.

    Google Scholar 

  8. Apajasalo M, Sintonen H, Holmberg C, et al. Quality of life in early adolescence: A sixteen-dimensional health-related measure (16D). Qual Life Res 1996; 5: 205-211.

    Google Scholar 

  9. Eiser C, Cotter I, Oades P, Seamark D, Smith R. Healthrelated quality of life measures for children. Int J Cancer 1999; S12: 87-90.

    Google Scholar 

  10. Kaplan RM, Bush JW, Berry CC. Health status: Types of validity and the Index of Well-Being. Health Serv Res 1976; 11: 478-507.

    Google Scholar 

  11. Kaplan RM, Bush JW. Health-related quality of life measurement for evaluation research and policy analysis. Health Psychol 1982; 1: 61-80.

    Google Scholar 

  12. Gilson BS, Gilson JS, Bergner M, et al. The Sickness Impact Profile. Development of an outcome measure of health care. Am J Public Health 1975; 65: 1304-1310.

    Google Scholar 

  13. Bergner M, Bobbitt RA, Cartner WB, Gibson BS. The Sickness Impact Profile: Development and final revision of a health status measure. Med Care 1981; 19(8): 787-805.

    Google Scholar 

  14. Hunt SM, McEwen J. The development of a subjective health indicator. Sociol Health illness 1980; 2(3): 231-246.

    Google Scholar 

  15. Hunt SM, McEwen J, McKenna SP. Measuring health status: A new tool for clinicians and epidemiologists. J Roy Coll Pract 1985; 35: 185-188.

    Google Scholar 

  16. Ware JE, Sherbourne CD. The MOS 36-Item Short-Form Health Survey (SF-36), 1. Conceptual framework and item selection. Med Care 1992; 30: 473-483.

    Google Scholar 

  17. The WHOQOL Group. The World Health Organization Quality of Life Assessment (WHOQOL): Position paper from the World Health Organization. Soc Sci Med 1995; 41: 1403-1409.

    Google Scholar 

  18. Bonomi AE, Patrick DL, Bushnell DM, Martin M. Validation of the United States' version of the World Health Organization Quality of Life (WHOQOL) instrument. J Clin Epidemiol 2000; 53: 1-12.

    Google Scholar 

  19. Arnett JJ. Emerging adulthood: A theory of development from the late teens through the twenties. Am Psychol 2000; 55: 469-480.

    Google Scholar 

  20. Hogan DP, Astone NM. The transition to adulthood. Ann Rev Sociol 1986; 12: 109-130.

    Google Scholar 

  21. Goldhaber D. Life-Span Human Development. Harcourt Brace Jovanovich, Inc. 1985.

  22. Cohen P, Kasen S, Chen H, Hartmark C, Gordon K. Variations in patterns of developmental transitions in the emerging adulthood period. Develop Psychol 2003; 39: 657-669.

    Google Scholar 

  23. Bowling A. Measuring Health: A review of quality of life measurement scales. Milton Keynes: Open University Press, 1991; 58-64.

    Google Scholar 

  24. McDowell I, Newell C. Measuring Health: A Guide to Rating Scales and Questionnaires. New York: Oxford University Press, 1996; 438-444.

    Google Scholar 

  25. Kogan LS, Smith J, Jenkins S. Ecological validity of indicator data as predictors of survey findings. J Soc Serv Res 1977; 1: 117-132.

    Google Scholar 

  26. Cohen P, Cohen J. Adolescent Life Values and Mental Health. Mahwah, NJ: Lawrence Erlbaum Assoc Inc Publishers, 1996.

    Google Scholar 

  27. Calman KC. Definitions and dimensions of quality of life. In: Aaronson NK, Beckman J (eds), The Quality of Life of Cancer patients (Monograph Series of the European Organization for Research on Treatment of Cancer [EORTC], Vol. 17). New York: Raven Press, 1987.

    Google Scholar 

  28. Hornquist JO. The concept of quality of life. Scand J Soc Med 1982; 10: 57-61.

    Google Scholar 

  29. Siegrist J, Junge A. Conceptual and methodological problems in research on the quality of life in clinical medicine. Soc Sci Med 1989; 29: 463-468.

    Google Scholar 

  30. Katz S. The science of quality of life. J Chron Dis 1987; 40(6): 459-463.

    Google Scholar 

  31. Spitzer WO. State of science 1986: Quality of life and functional status as target variables for research. J Chron Dis 1987; 40(6): 465-471.

    Google Scholar 

  32. Aaronson NK. Quality of life: What is it? how should it be measured? Oncology 1988; 2: 69-74.

    Google Scholar 

  33. Cella DF, Tulsky DS. Measuring quality of life today: Methodological aspects. Oncology 1990; 4: 29-38.

    Google Scholar 

  34. Schipper H. Guidelines and caveats for quality of life measurement in clinical practice and research. Oncology 1990; 4: 51-57.

    Google Scholar 

  35. Derogatis LR, Lipman RS, Rickles K, Uhlenhuth EH, Covi L. The Hopkins Symptom Checklist (HSCL): A self-report symptom inventory. Behavioral Science 1974; 19: 1-15.

    Google Scholar 

  36. Costello AJ, Edelbrock CS, Dulcan MK, Kalas R, Klaric SH. Testing of the NIMH Diagnostic Interview Schedule for Children (DISC) in a clinical population: Final report to the center for epidemiological studies, National Institute for Mental Health. Pittsburgh: University of Pittsburgh, 1984.

    Google Scholar 

  37. Locke HS, Wallace KM. Short marital-adjustment and prediction tests: Their reliability and validity. Marriage Fam Liv 1959; 21: 251-255.

    Google Scholar 

  38. Kohn ML, Schooler C. Occupational experience and psychological functioning: An assessment of reciprocal effects. Am Sociol Rev 1973; 38: 97-118.

    Google Scholar 

  39. Karasek RA, Triantis KP, Chaudhry SS. Coworker and supervisor support as moderators of associations between task characteristics and mental strain. J of Occup Behav 1982; 3: 181-200.

    Google Scholar 

  40. Campbell A, Converse PE, Rodgers WL. The Quality of American Life: Perceptions, Evaluations and Satisfactions. New York: Russell Sage Foundation, 1976.

    Google Scholar 

  41. Andrews FM, Withey SB. Social Indicators of Well-being: America's Perceptions of Life Quality. New York: Plenum Press, 1976.

    Google Scholar 

  42. Beiser M. Components and correlates of mental well-being. J Health Soc Behav 1974; 15: 320-327.

    Google Scholar 

  43. Bradburn NM. The Structure of Psychological Well-being. Chicago: Aldine Publishing, 1969.

    Google Scholar 

  44. Viet CT, Ware JE. The structure of psychological distress and well-being in general populations. J Consult Clin Psychol 1983; 51: 730-742.

    Google Scholar 

  45. Chiriboga DA. Consistency in adult functioning: The influence of social stress. Aging Soc 1982; 2: 7-29.

    Google Scholar 

  46. Witter RA, Okun MA, Stock WA, Haring MJ. Education and subjective well-being: A meta-analysis. Educ Eval Policy Anal 1984; 6: 165-173.

    Google Scholar 

  47. Pollner M. Divine relations, social relations, and well-being. J Health Soc Behav 1989; 30: 92-104.

    Google Scholar 

  48. Inglehart R. Culture Shift in Advanced Industrial Society. Princeton, NJ: Princeton University Press, 1990.

    Google Scholar 

  49. Russell RD. Social health: An attempt to clarify this dimension of well-being. Int J Health Educ 1973; 16: 74-82.

    Google Scholar 

  50. Mitchell RE, Billings AG, Moos RH. Social support and well-being: Implications for prevention programs. J Primary Prev 1982; 3: 77-98.

    Google Scholar 

  51. Patrick DL, Bush JW, Chen MM. Toward an operational definition of health. J Health Soc Behav 1973; 14: 6-24.

    Google Scholar 

  52. Reynolds WJ, Rushing WA, Miles DL. The validation of a function status index. J Health Soc Behav 1974; 15: 271-288.

    Google Scholar 

  53. Stewart AL, Ware JE, Brook RH. Advances in the measurement of functional status: Construction of aggregate indexes. Med Care 1981; 19: 473-488.

    Google Scholar 

  54. Levin S, Croog SH. What constitutes quality of life? In: Wenger NK, et al. (eds), Assessment of Quality of Life in Clinical Trials of Cardiovascular Therapies. New York: Le Jacq, 1984.

    Google Scholar 

  55. Wingo L, Evans A. Public Economics and the Quality of Life. Baltimore: John Hopkins University Press, 1978.

    Google Scholar 

  56. Pacione M. The use of objective and subjective measures of life quality in human geography. Progr Human Geogr 1982; 6: 498-505.

    Google Scholar 

  57. Rogerson RJ, Findlay AM, Morris AS. Indicators of quality of life: Some methodological issues. Environ Planning 1989; 21: 1655-1666.

    Google Scholar 

  58. Culyer AJ. Commodities, characteristics of commodities, characteristics of people, utilities and the quality of life. In: Baldwin S, et al. (eds), Quality of Life: Perspectives and Policies, Routledge, London, 1990: 9-27.

    Google Scholar 

  59. Cohen P, Cohen J, Aiken LS, West SG. The problem of units and the circumstance for POMP. Multivar Behav Res 1999; 34: 315-346.

    Google Scholar 

  60. Cohen P, O'Connor P, Lewis SA, Malachowski B. A comparison of the agreement between DISC and K-SADS-P interviews of an epidemiological sample of children. J Am Acad Child Adol Psychiat 1987; 26: 662-667.

    Google Scholar 

  61. Cohen P, Velez CN, Kohn M, Schwab-Stone M, Johnson J. Child psychiatric diagnosis by computer algorithm: Theoretical issues and empirical tests. J Am Acad Child Adol Psychiat 1987; 26: 631-638.

    Google Scholar 

  62. Hyler SE, Reider RO, Williams JBW, Spitzer RL, Hendler J, Lyons M. The Personality Diagnostic Questionnaire: Development and preliminary results. J Person Disord 1988; 2: 229-237.

    Google Scholar 

  63. Spitzer RL, Williams JBW. Structured Clinical Interview for DSM-III-R Personality Disorders (SCID-II). New York, New York: State Psychiatric Institute, Biometrics Research, 1986.

    Google Scholar 

  64. Bernstein DP, Cohen P, Skodol A, Bezirganian S, Brook JS. Childhood antecedents of adolescent personality disorders. Am J Psychiat 1996; 153(7): 907-913.

    Google Scholar 

  65. Cohen P. Childhood risks for young adult symptoms of personality disorder: Method and substance. Multivar Behav Res 1996; 31(1): 121-148.

    Google Scholar 

  66. Bernstein DP, Cohen P, Velez CN, Schwab-Stone M, Siever LJ, Shinsato L. Prevalence and stability of the DSM-III-R personality disorders in a community-based survey of adolescents. Am J Psychiat 1993; 150: 1237-1243.

    Google Scholar 

  67. Cohen P. Personality development in childhood: Old and new findings. In: Cloninger CR (ed.) Personality and Psychopathology, Washington, DC: American Psychiatric Press, 1999; 101-127.

    Google Scholar 

  68. Johnson JG, Cohen P, Skodol A, Oldham JM, Kasen S, Brook J. Personality disorders in adolescence and risk of major mental disorders and suicidality during adulthood. Arch Gen Psychiat 1999; 56: 805-811.

    Google Scholar 

  69. Kasen S, Cohen P, Skodol AE, Johnson JG, Smailes E, Brook JS Childhood depression and adult personality disorder: Alternative pathways of continuity. Arch Gen Psychiat 2001; 58: 231-236.

    Google Scholar 

  70. Campbell DT, Fiske, DW. Convergent and discriminant validation by the multitrait-multimethod matrix. Psychol Bull 1959; 56: 85-105.

    Google Scholar 

  71. McHorney CA, Ware JE, Lu JFR, Sherbourne CD. The MOS 36-Item Short-Form Health Survey (SF-36), III. Tests of data quality, scaling assumptions, and reliability across diverse patient groups. Med Care 1994; 32: 40-66.

    Google Scholar 

  72. Hays RD, Hayashi T. Beyond internal consistency reliability: Rationale and user's guide for the Multitrait Analysis Program (MAP) on the microcomputer. Behav Res Methods Instrum Comput 1990; 22: 167-175.

    Google Scholar 

  73. Cronbach LJ. Coefficient alpha and the internal structure of tests. Psychometrika 1951; 16: 297-302.

    Google Scholar 

  74. Medical Outcome Trust Scientific Advisory Committee Instrument Review Criteria. MOT Bulletin II: I-V 1995. Boston: MOT Committee.

  75. Cohen J. Set correlation and contingency tables. Appl Psychol Meas 1988; 12: 425-434.

    Google Scholar 

  76. Cohen J, Cohen P. Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, 3rd ed. Hillsdale, NJ: Lawrence Erlbaum Associates, 2002.

    Google Scholar 

  77. Diener E, Suh EM, Lucas RE, Smith HL. Subjective well-being: Three decades of progress. Psychol Bull 1999; 125: 276-302.

    Google Scholar 

  78. Hughes M, Thomas ME. The continuing significance of race revisited: A study of race, class, and quality of life in American, 1972–1996. Am Sociol Rev 1998; 63: 785-795.

    Google Scholar 

  79. Mastekaasa A. Age variations in the suicide rates and self-reported subjective well-being of married and never married persons. J Comm Appl Soc Psychol 1995; 5: 21-39.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chen, H., Cohen, P., Kasen, S. et al. Construction and validation of a quality of life instrument for young adults. Qual Life Res 13, 747–759 (2004). https://doi.org/10.1023/B:QURE.0000021700.42478.ab

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/B:QURE.0000021700.42478.ab

Navigation