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Journal of Occupational Rehabilitation

Erschienen in:

26.12.2016

Validity and Reliability of the 8-Item Work Limitations Questionnaire

verfasst von: Timothy J. Walker, Jessica M. Tullar, Pamela M. Diamond, Harold W. Kohl III, Benjamin C. Amick III

Erschienen in: Journal of Occupational Rehabilitation | Ausgabe 4/2017

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Abstract

Purpose To evaluate factorial validity, scale reliability, test–retest reliability, convergent validity, and discriminant validity of the 8-item Work Limitations Questionnaire (WLQ) among employees from a public university system. Methods A secondary analysis using de-identified data from employees who completed an annual Health Assessment between the years 2009–2015 tested research aims. Confirmatory factor analysis (CFA) (n = 10,165) tested the latent structure of the 8-item WLQ. Scale reliability was determined using a CFA-based approach while test–retest reliability was determined using the intraclass correlation coefficient. Convergent/discriminant validity was tested by evaluating relations between the 8-item WLQ with health/performance variables for convergent validity (health-related work performance, number of chronic conditions, and general health) and demographic variables for discriminant validity (gender and institution type). Results A 1-factor model with three correlated residuals demonstrated excellent model fit (CFI = 0.99, TLI = 0.99, RMSEA = 0.03, and SRMR = 0.01). The scale reliability was acceptable (0.69, 95% CI 0.68–0.70) and the test–retest reliability was very good (ICC = 0.78). Low-to-moderate associations were observed between the 8-item WLQ and the health/performance variables while weak associations were observed between the demographic variables. Conclusions The 8-item WLQ demonstrated sufficient reliability and validity among employees from a public university system. Results suggest the 8-item WLQ is a usable alternative for studies when the more comprehensive 25-item WLQ is not available.

Rezaee ME, Pollock M. Prevalence and associated cost and utilization of multiple chronic conditions in the outpatient setting among adult members of an employer-based health plan. Popul Health Manag. 2015;18:421–8.CrossRefPubMed

Goetzel RZ, Long SR, Ozminkowski RJ, Hawkins K, Wang S, Lynch W. Health, absence, disability, and presenteeism cost estimates of certain physical and mental health conditions affecting U.S. employers. J Occup Environ Med. 2004;46:398–412.CrossRefPubMed

Loeppke R, Taitel M, Haufle V, Parry T, Kessler RC, Jinnett K. Health and productivity as a business strategy: a multiemployer study. J Occup Environ Med. 2009;51:411–28.CrossRefPubMed

Mattke S, Balakrishnan A, Bergamo G, Newberry SJ. A review of methods to measure health-related productivity loss. Am J Manag Care. 2007;13:211–7.PubMed

Lofland JH, Pizzi L, Frick KD. A review of health-related workplace productivity loss instruments. Pharmacoeconomics. 2004;22:165–84.CrossRefPubMed

Lerner D, Amick B III, Rogers W, Malspeis S, Bungay K, Cynn D. The work limitations questionnaire. Med Care. 2001;39:72–85.CrossRefPubMed

Amick B III, Gimeno D. Measuring work outcomes with a focus on health-related work productivity loss. In: Wittink H, Carr D, editors. Pain management: evidence, outcomes and quality of life: a sourcebook. New York: Elsevier; 2008. pp. 329–43.

Lerner D, Amick BC, Lee JC, Rooney T, Rogers WH, Chang H, et al. Relationship of employee-reported work limitations to work productivity. Med Care. 2003;41:649–59.PubMed

Grossmeier J. Program measurement and evaluation guide: core metrics for employee health management. Chapter 7: productivity and performance. 2016. Available from: http://hero-health.org/wp-content/uploads/2015/02/HERO-PHA-Metrics-Guide-FINAL.pdf.

10.

Mitchell RJ, Bates P. Measuring health-related productivity loss. Popul. Health Manag. 2011;14:93–8.

11.

Walsh J a, McFadden ML, Morgan MD, Sawitzke AD, Duffin KC, Krueger GG, et al. Work productivity loss and fatigue in psoriatic arthritis. J Rheumatol. 2014;41:1670–4.CrossRefPubMed

12.

Burton WN, Chen C-Y, Li X, Schultz AB, Abrahamsson H. The association of self-reported employee physical activity with metabolic syndrome, health care costs, absenteeism, and presenteeism. J Occup Environ Med. 2014;56:919–26.CrossRefPubMed

13.

Byrne BM. Structural equation modeling with Mplus: basic concepts, applications, and programming. New York: Routledge; 2012.

14.

Muthén LK, Muthén BO. Mplus user's guide. 7th ed. Los Angeles, CA: Muthén & Muthén; (1998–2015).

15.

Raykov T. Estimation of congeneric scale reliability using covariance structure analysis with nonlinear constraints. Br J Math Stat Psychol. 2001;54:315–23.CrossRefPubMed

16.

Raykov T. Behavioral scale reliability and measurement invariance evaluation using latent variable modeling. Behav Ther. 2004;35:299–331.CrossRef

17.

Brown TA. Confirmatory factor analysis for applied research. Second. New York: Guilford Press; 2015.

18.

Streiner DL, Norman GR. Health measurement scales: a practical guide to their development and use. 4th ed. New York: Oxford University Press; 2008.CrossRef

19.

Brown TA, White KS, Forsyth JP, Barlow DH. The structure of perceived emotional control: psychometric properties of a revised anxiety control questionnaire. Behav. Ther. 2004;35:75–99.

20.

McGraw KO, Wong SP. Forming inferences about some intraclass correlation coefficients. Psychol Methods. 1996;1:30–46.CrossRef

21.

StataCorp Stata Statistical Software: Release 13. 2013.

22.

Landis R, Edwards B, Corina J. Correlated residuals among items in the estimation of measurement models. In: Lance CE, Vandenberg RJ, editors. Statisical methodological myths and urban legends: Doctrine, verity, and fable in the organizational and social sciences. New York: Routledge, 2009. pp. 195–214.

23.

Cheung GW, Rensvold RB. Evaluating goodness-of-fit indexes for testing measurement invariance. Struct. Equ. Model. A Multidiscip. J. 2002;9:233–55.

24.

Warner R. Applied statistics: from bivariate through multivariate techniques. Thousand Oaks: Sage Publications, Inc.; 2008.

25.

Tang K, Beaton DE, Amick BC, Hogg-Johnson S, Côtè P, Loisel P. Confirmatory factor analysis of the work limitations questionnaire (wlq-25) in workers’ compensation claimants with chronic upper-limb disorders. J Occup Rehabil. 2013;23:228–38.CrossRefPubMed

26.

Verhoef J a. C, Miedema HS, Bramsen I, Roebroeck ME. Using the work limitations questionnaire in patients with a chronic condition in the Netherlands. J Occup Environ Med. 2012;54:1293–9.CrossRefPubMed

27.

Tamminga SJ, Verbeek JHAM, Frings-Dresen MHW, De Boer AGEM. Measurement properties of the work limitations questionnaire were sufficient among cancer survivors. Qual Life Res. 2014;23:515–25.CrossRefPubMed

28.

Ware JE, Snow KK, Kosinski M, Gandek B. SF-36 health survey manual and interpretation guide. Bost. New Engl. Med. Cent. 1993;1–22.

29.

Burton WN, Chen C-Y, Conti DJ, Schultz AB, Edington DW. The association between health risk change and presenteeism change. J Occup Environ Med. 2006;48:252–63.CrossRefPubMed

30.

Burton WN, Chen C-Y, Conti DJ, Schultz AB, Pransky G, Edington DW. The association of health risks with on-the-job productivity. J Occup Environ Med. 2005;47:769–77.CrossRefPubMed

31.

Alker HJ, Wang ML, Pbert L, Thorsen N, Lemon SC. Impact of school staff health on work productivity in secondary schools in Massachusetts. J Sch Health. 2015;85:398–404.CrossRefPubMed

32.

Cash SW, Beresford SAA, Henderson JA, McTiernan A, Xiao L, Wang CY, et al. Dietary and physical activity behaviours related to obesity-specific quality of life and work productivity: baseline results from a worksite trial. Br J Nutr. 2012;1134–42.

33.

O’Connell SE, Jackson BR, Edwardson CL, Yates T, Biddle SJH, Davies MJ, et al. Providing NHS staff with height-adjustable workstations and behaviour change strategies to reduce workplace sitting time: protocol for the Stand More AT (SMArT) Work cluster randomised controlled trial. BMC Public Health. 2015;15:1219.CrossRefPubMedPubMedCentral

Titel: Validity and Reliability of the 8-Item Work Limitations Questionnaire
verfasst von: Timothy J. Walker
Jessica M. Tullar
Pamela M. Diamond
Harold W. Kohl III
Benjamin C. Amick III
Publikationsdatum: 26.12.2016
Verlag: Springer US
Erschienen in: Journal of Occupational Rehabilitation / Ausgabe 4/2017
Print ISSN: 1053-0487
Elektronische ISSN: 1573-3688
DOI: https://doi.org/10.1007/s10926-016-9687-5

Springer Medizin

Abstract

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