Skip to main content
Log in

Psychometric performance of the Asthma Quality of Life Questionnaire in a US sample

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

Abstract

The purpose of this study was to examine the psychometric characteristics of the Juniper Asthma Quality of Life Questionnaire (AQLQ) in a sample of asthmatics from the USA, employing data from the Asthma Symptom Utility Index (ASUI) validation study. One hundred and sixty-one adults (66 men) undergoing standard care in an asthma clinic participated in the study (mean age=34.7±10.7 years, mean duration of illness=17.3±11.22 years and mean FEV1% predicted=85.6%±17.1%). The internal consistency reliability (?) ranged from 0.90 (environment subscale) to 0.95 (overall score) and the 2 week reproducibility (ICC) ranged from 0.81 (activities subscale) to 0.93 (symptoms subscale). The AQLQ was significantly correlated with an asthma disease severity scale and the Health Utilities Index (p < 0.001). No relationship was found between the AQLQ score and FEV1% predicted. Men reported better overall quality of life (QoL), fewer activity limitations and less environmental exposure than women (p < 0.01), while patients with a high school education or less had more severe asthma and poorer QoL across all subscales (p < 0.001). This may reflect the differential experiences of asthma across gender and socioeconomic groups. The results suggest that the AQLQ may be a useful outcome measure for clinical trials conducted in the USA.

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. Juniper EF, Guyatt GH, Epstein RS, Ferry PJ, Jaeschke R, Hiller TK. Evaluation of impairment of health-related quality of life in asthma: development of a questionnaire for use in clinical trials. Thorax 1992; 47: 76-83.

    Google Scholar 

  2. Marks GB, Dunn SM, Woolcock AJ. A scale for the measurement of quality of life in adults with asthma. J Clin Epidemiol 1992; 45: 461-472.

    Google Scholar 

  3. Hyland ME, Finnis S, Irvine SH. A scale for assessing quality of life in adult asthma sufferers. Psychosomat Res 1991; 35: 99-110.

    Google Scholar 

  4. Jones PW, Quirk FH, Baveystock CM, Littlejohns P. A self-complete measure of health status for chronic airflow limitation. Am Rev Respirat Dis 1992; 45: 1321-1327.

    Google Scholar 

  5. Perpina M, Belloch A, Pascual LM, de Diego A, Compte L. Calidad de vida en el asma: validacion del cuestionario AQLQ para su utilizacion en poblacion espa~nola (The quality of life in asthma: an evaluation of the AQLQ questionnaire for its use on a Spanish population. Asthma Quality of Life Questionnaire). Arch Bronconeumol 1995; 31(5): 211-218.

    Google Scholar 

  6. Rutten-van Mölken MP, Custers F, van Doorslaer EK et al. Comparison of performance of four instruments in evaluating the effects of salmeterol on asthma quality of life. Eur Respirat J 1995; 8(6): 888-898.

    Google Scholar 

  7. Revicki D, Sorensen S, Leidy NK, Togias A. Integrating patient preferences into health outcomes assessment: the Asthma-Symptom Utility Index. Am J Respirat Crit Care Med 1996; 153(4): A549.

    Google Scholar 

  8. Juniper EF, Guyatt GH, Ferrie PJ, Griffith LE. Measuring quality of life in asthma. Am Rev Respirat Dis 1993; 147: 832-838.

    Google Scholar 

  9. Juniper EF, Guyatt GH, Willan A, Griffith LE. Determining a minimal important change in a disease specific quality of life questionnaire. J Clin Epidemiol 1994; 47: 81-87.

    Google Scholar 

  10. Juniper EF, Johnston PR, Borkhoff CM, Guyatt GH, Boulet LP, Haukioja A. Quality of life in asthma clinical trials: comparison of salmeterol and salbutamol. Am J Respirat Crit Care Med 1995; 151: 66-70.

    Google Scholar 

  11. Rowe BH, Oxman AD. Performance of an asthma quality of life questionnaire in an outpatient setting. Am Rev Respirat Dis 1993; 148: 675-681.

    Google Scholar 

  12. Jones P. Issues concerning health-related quality of life in COPD. Chest 1995; 107(5): 187S-193S.

    Google Scholar 

  13. Leidy NK State of the science: functional performance in people with chronic obstructive pulmonary disease. Image: J Nurs Schol 1995; 27(1): 23-34.

    Google Scholar 

  14. Stewart AL, Hays RD, Ware JE. The MOS short term general health survey. Med Care 1988; 24: 724-32.

    Google Scholar 

  15. Bergner M, Bobbit RA, Carer WB, Gilson BS. The Sickness Impact Profile: development and final revision of a health status measure. Med Care 1981; 19: 787-805.

    Google Scholar 

  16. Rowe BH, Oxman AD. An assessment of the sensibility of a quality-of-life instrument. Am J Emerg Med 1993; 11: 374-380.

    Google Scholar 

  17. Barber BL, Santanello NC, Epstein RS. Impact of the global on patient perceivable change in an asthma specific QOL questionnaire. Qual Life Res 1996; 5: 117-122.

    Google Scholar 

  18. Israel E, Cohn J, Dubé L, Drazen JM. Effect of treatment with zileuton, a 5-lipoxygenase inhibitor, in patients with asthma: randomized controlled trial. JAMA 1996; 275: 931-936.

    Google Scholar 

  19. Juniper EF, Guyatt GH, Feeny DH, Ferrie PJ, Griffith LE, Townsend M. Measuring quality of life in children with asthma. Qual Life Res 1996; 5: 35-46.

    Google Scholar 

  20. Feeny DH, Torrance GW, Furlong W. Health Utilities Index (HUI). In: Spilker B. ed. Quality of Life and Pharmacoeconomics in Clinical Trials. Philadelphia: Raven Press, 1996; 239-252.

    Google Scholar 

  21. Torrance GW, Furlong W, Feeny D, Boyle MH. Multi-attribute preference functions: Health Utilities Index. Pharmacoeconomics 1995; 7: 503-520.

    Google Scholar 

  22. Torrance GW, Zhang Y, Feeny DH, Furlong W, Barr R. Multi-attribute Preference Functions for a Comprehensive Health Status Classification System. Hamilton, Ontario: Centre for Health Economics and Policy Analysis, McMaster University, 1992.

    Google Scholar 

  23. Nunnally J. Psychometric Theory, 2nd edn. New York: McGraw-Hill, 1978.

    Google Scholar 

  24. Malo JL, Boulet LP, Dewitte JD, et al. Quality of life of subjects with occupational asthma. J Allergy Clin Immunol 1993; 91: 1121-1127.

    Google Scholar 

  25. Gibson PG, Talbot PI, Toneguzzi RC, Population Medical Group 91C. Self-management, autonomy and quality of life in asthma. Chest 1995; 107: 1003-1008

    Google Scholar 

  26. Hindi-Alexander MC, Scherer YK, Opila DA et al. Asthma and the use of CNS depressants: gender differences. J Asthma 1992 24(4): 259-264.

    Google Scholar 

  27. Quirk FH, Jones PW. Patients' perception of distress due to symptoms and effects of asthma on daily living and an investigation of possible influential factors. Clin Sci. 1990; 79: 17-21.

    Google Scholar 

  28. Quirk FH, Baveystock CM, Wilson R, Jones PW. Influence of demographic and disease related factors on the degree of distress associated with symptoms and restrictions on daily living due to asthma in six countries. Eur Respirat J 1991; 4: 167-171.

    Google Scholar 

  29. Leidy NK, Traver GA. Psychophysiologic factors contributing to functional performance in people with COPD: are there gender differences? Res Nurs Health 1995; 18: 535-546.

    Google Scholar 

  30. Ware JE, Snow KK, Kosinski M, Gandek B. SF-36 Health Survey-Manual and Interpretation Guide. Boston, MA: Nimrod Press, 1993.

    Google Scholar 

  31. Wiklund IK. Hypertension. In Spilker B ed. Quality of Life and Pharmacoeconomics in Clinical Trial, 2nd edn. Philadelphia: Lippincott-Raven, 1996; 893-902.

    Google Scholar 

  32. Mutchler JE, Burr JA. Racial differences in health and health care service utilization in later life: the effect of socioeconomic status. J Health Soc Behav 1991; 32: 342-356.

    Google Scholar 

  33. Robert S, House JS. SES differentials in health by age and alternative indicators of SES. J Aging Health 1996; 8: 359-388.

    Google Scholar 

  34. Cella DF, Lloyd SR, Wright BD. Cross-cultural instrument equating: current research and future directions. In: Spilker B, ed. Quality of Life and Pharmacoeconomics in Clinical Trials, 2nd edn. Philadelphia: Lippincott-Raven, 1996; 707-715.

    Google Scholar 

  35. Noro A, Aro S. Health-related quality of life among the least dependent institutional elderly compared with the non-institutional elderly population. Qual Life Res 1996; 5: 355-366.

    Google Scholar 

  36. Hopton JL, Howie JG, Porter AM. Social indicators of health needs for general practice: a simpler approach. Br J Gen Pract 1992; 42: 236-240.

    Google Scholar 

  37. Haas JS, Cleary PD, Guadagnoli E, Fanta C, Epstein AM. The impact of socioeconomic status on the intensity of ambulatory treatment and health outcomes after hospital discharge for adults with asthma. J Gen Intern Med 1994; 9: 121-126.

    Google Scholar 

  38. Player R, Richards JM, Kohler CL, Woodby LL, Brooks CM, Bailey WC. Scale for assessing functional impairment in adults with asthma. J Asthma 1994; 31: 437-444.

    Google Scholar 

  39. Schwartz J, Gold D, Dockery DW, Weiss ST, Speizer FE. Predictors and persistent wheeze in a national sample of children in the United States: association with social class, perinatal events, and race. Am Rev Respirat Dis 1990; 142: 555-562.

    Google Scholar 

  40. Weiss KB, Wagener DK. Changing patterns of asthma mortality: identifying target populations at high risk. JAMA 1990; 264(13): 1683-1687.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Leidy, N.K., Coughlin, C. Psychometric performance of the Asthma Quality of Life Questionnaire in a US sample. Qual Life Res 7, 127–134 (1998). https://doi.org/10.1023/A:1008853325724

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1008853325724

Navigation