Skip to main content
Log in

Item reduction of the Wisconsin Upper Respiratory Symptom Survey (WURSS-21) leads to the WURSS-11

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

Abstract

Purpose

To develop a shorter version of the Wisconsin Upper Respiratory Symptom Survey (WURSS-21), a self-report questionnaire for evaluating daily symptoms and functional impairments during acute respiratory illness (ARI).

Methods

WURSS-21 data were retrieved from 4 studies (n = 1167) spanning the years 2002–2010. Similar methodologies were employed among these studies. Degree of missingness, ceiling/floor effects, and exploratory (EFA) and confirmatory (CFA) factor analyses were investigated and used to guide item retention. Stability of the reduced WURSS was evaluated across the first 3 days of ARI.

Results

Degree of missingness was <1 % and appeared to be completely at random. Seven WURSS items with >30 % of ratings of zero (floor effects) were eliminated. Cross-loading items (head congestion, sleep well and breathe easily) were excluded following EFA on subset-1. Subsequent CFA using subset-2 showed satisfactory indices of fit. The reduced WURSS-11 instrument demonstrated 3 dimensions of 3 items each and was stable across 3 days of illness. The indicated dimensions (items) include nasal (runny nose, plugged nose, sneezing), throat (cough, sore throat, scratchy throat), and quality of life (feeling tired, think clearly, accomplish daily activities).

Conclusion

The WURSS-11 has similar dimensional structure as the WURSS-21. This shorter version may reduce the time and burden required for completing the survey.

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.

Fig. 1
Fig. 2

References

  1. Barrett, B., Brown, R. L., Mundt, M. P., et al. (2009). Validation of a short form Wisconsin Upper Respiratory Symptom Survey (WURSS-21). Health and Quality of Life Outcomes, 7, 76.

    Article  PubMed Central  PubMed  Google Scholar 

  2. Barrett, B. P., Brown, R. L., Locken, K., et al. (2002). Treatment of the common cold with unrefined echinacea. A randomized, double-blind, placebo-controlled trial. Annals of Internal Medicine, 137(12), 939–946.

    Article  PubMed  Google Scholar 

  3. Barrett, B., Locken, K., Maberry, R., et al. (2002). The Wisconsin Upper Respiratory Symptom Survey (WURSS): A new research instrument for assessing the common cold. Journal of Family Practice, 51(3), 265.

    PubMed  Google Scholar 

  4. Barrett, B., Brown, R., Mundt, M., et al. (2005). The Wisconsin Upper Respiratory Symptom Survey is responsive, reliable, and valid. Journal of Clinical Epidemiology, 58(6), 609–617.

    Article  PubMed  Google Scholar 

  5. Jackson, G. G., Dowling, H. F., & Muldoon, R. L. (1962). Present concepts of the common cold. American Journal of Public Health, 52, 940–945.

    Article  PubMed Central  PubMed  CAS  Google Scholar 

  6. Barrett, B., Brown, R., Voland, R., et al. (2006). Relations among questionnaire and laboratory measures of rhinovirus infection. European Respiratory Journal, 28(2), 358–363.

    Article  PubMed  CAS  Google Scholar 

  7. Barrett, B., Rakel, D., Chewning, B., et al. (2007). Rationale and methods for a trial assessing placebo, echinacea, and doctor–patient interaction in the common cold. Explore (New York, N.Y.), 3(6), 561–572.

    Article  Google Scholar 

  8. Barrett, B., Brown, R., Rakel, D., et al. (2011). Placebo effects and the common cold: A randomized controlled trial. Annals of Family Medicine, 9(4), 312–322.

    Article  PubMed Central  PubMed  Google Scholar 

  9. Barrett, B., Hayney, M. S., Muller, D., et al. (2012). Meditation or exercise for preventing acute respiratory infection: A randomized controlled trial. Annals of Family Medicine, 10(4), 337–346.

    Article  PubMed Central  PubMed  Google Scholar 

  10. Heikkinen, T., & Jarvinen, A. (2003). The common cold. Lancet, 361(9351), 51–59.

    Article  PubMed  Google Scholar 

  11. Kroonenberg, P. M., & Lewis, C. (1982). Methodological issues in the search for a factor model: Exploration through confirmation. Journal of Educational Statistics, 7, 69–89.

    Article  Google Scholar 

  12. Cudeck, R., & Browne, M. (1983). Cross-validation of covariance structures. Multivariate Behavioral Research, 18, 147–167.

    Article  Google Scholar 

  13. Costello, A. B., & Osborne, J. W. (2005). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research and Evaluation, 10, 7. http://pareonline.net/getvn.asp?v=10&n=7.2005.

  14. Kline, R. B. (2010). Principles and practice of structural equation modeling. NY: Guilford Press.

    Google Scholar 

  15. Jöreskog, K. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34, 183–202.

    Article  Google Scholar 

  16. Holtzman, S., & Vezzu, S. (2011). Confirmatory factor analysis and structural equation modeling of noncognitive assessments using PROC CALIS. In NorthEast SAS Users Group (NESUG), 2011 proceedings. September 11–14, 2011, Portland, Maine.

  17. Hu, L., & Bentler, P. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55.

    Article  Google Scholar 

  18. Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3, 4–69.

    Article  Google Scholar 

  19. Muthén, L., & Muthén, B. (1998–2013). Mplus user’s guide (6th edn). Los Angeles, CA: Muthén & Muthén.

  20. Bryant, F. B., & Satorra, A. (2012). Principles and practice of scaled difference Chi square testing. Journal of Structural Equation Modeling, 19(3), 372–398.

    Article  Google Scholar 

  21. Little, R. (1988). A test of missing completely at random for multivariate data with missing values. Jounral of the American Statistical Association, 83(404), 1198–1202.

    Article  Google Scholar 

  22. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.

    Article  Google Scholar 

  23. Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Journal of Structural Equation Modeling, 14(3), 464–504.

    Article  Google Scholar 

  24. Obasi, C. N., Brown, R., Ewers, T., et al. (2012). Advantage of meditation over exercise in reducing cold and flu illness is related to improved function and quality of life. Influenza and Other Respiratory Viruses. doi:10.1111/irv.12053.

Download references

Acknowledgments

Data analyzed here come from several separate studies supported by: (1) Patient-Oriented Career Development Grant (K23 AT00051-01) from the National Center for Complementary and Alternative Medicine (NCCAM) at the National Institutes of Health; (2) Career development grant from the Robert Wood Johnson Foundation Generalist Physician Scholars Program used for project analysis; (3) Clinical Research Feasibility Funds (CReFF) award from the NIH-funded University of Wisconsin-General Clinical Research Center (MO1 RR03186); (4) 1R01AT001428 Placebo: Physician or Pill? A randomized trial in a common cold model (NIH NCCAM); (5) 1R01AT004313 Meditation and Exercise for Prevention of Acute Respiratory Infection (NIH NCCAM); (6) K24AT006543 Midcareer Investigator Award (NIH NCCAM). Additional support include (7) National Research Service Award (T32HP10010) from the Health Resources and Services Administration; and (8) Grant 1UL1RR025011 from the Clinical and Translational Sciences Award program of the National Center for Research Resources, National Institutes of Health.

Conflict of interest

The WURSS-11 will be free of charge for educational, non-profit, and public interest work, but will be licensed for commercial or for-profit use by the Wisconsin Alumni Research Foundation (WARF). Chidi Obasi, Roger Brown, and Bruce Barrett have transferred copyright of the WURSS-11 to WARF and may receive author share royalties from such commercial licensing, but have no other interest conflicts. See http://www.fammed.wisc.edu/research/external-funded/wurss for registration and licensing information. All authors contributed significantly and approved the final version of this manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chidi N. Obasi.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 63 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Obasi, C.N., Brown, R.L. & Barrett, B.P. Item reduction of the Wisconsin Upper Respiratory Symptom Survey (WURSS-21) leads to the WURSS-11. Qual Life Res 23, 1293–1298 (2014). https://doi.org/10.1007/s11136-013-0561-z

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11136-013-0561-z

Keywords

Navigation