World Journal of Preventive Medicine
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World Journal of Preventive Medicine. 2015, 3(2), 28-39
DOI: 10.12691/jpm-3-2-3
Open AccessReview Article

Systematic Review of Health-Related Quality of Life Assessments in Physical Activity Research

Peter D. Hart1, , Minsoo Kang2, Norman L. Weatherby3, Yun Soo Lee3 and Tom M. Brinthaupt4

1Health Promotion Program, Montana State University - Northern, & Health Demographics, Havre, MT 59501,USA

2Kinesmetrics Laboratory, Middle Tennessee State University, Murfreesboro, TN 37132, USA

3Department of Health and Human Performance, Middle Tennessee State University, Murfreesboro, TN 37132, USA

4Department of Psychology, Middle Tennessee State University, Murfreesboro, TN 37132, USA

Pub. Date: April 29, 2015

Cite this paper:
Peter D. Hart, Minsoo Kang, Norman L. Weatherby, Yun Soo Lee and Tom M. Brinthaupt. Systematic Review of Health-Related Quality of Life Assessments in Physical Activity Research. World Journal of Preventive Medicine. 2015; 3(2):28-39. doi: 10.12691/jpm-3-2-3

Abstract

In physical activity research, health-related quality of life (HRQOL) is an outcome variable of growing importance. Physical activity is directly associated with HRQOL and intervention-type studies seek to show improvements in HRQOL based on treatment effects. As interest grows in using HRQOL as an outcome measure in physical activity research, the need to investigate the measurement properties of HRQOL assessments increases in importance. The objective of this study was to systematically explore HRQOL assessments used in physical activity research by examining their instrument characteristics (items, dimensions, scoring, etc.) and their published psychometric properties. Results of this study showed that 10 HRQOL assessments are currently used in physical activity research. Recommendations were made relative to different study designs and goals.

Keywords:
health-related quality of life systematic review physical activity measurement item-response theory

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References:

[1]  U.S. Department of Health and Human Services. Physical Activity Guidelines Advisory Committee Report. Washington (DC): U.S. Department of Health and Human Services; 2008. p. A-7.
 
[2]  Kampert, J. B., Blair, S. N., Barlow, C. E., & Kohl, H. W. (1996). Physical activity, physical fitness, and all-cause and cancer mortality: A prospective study of men and women. Annals of Epidemiology, 6, 452-457.
 
[3]  Lee, D. C., Sui, X., Ortega, F. B., Kim, Y. S., Church, T. S., Winett, U., Ekelund, U., Katzmarzyk, P. T., & Blair, S. N. (2010). Comparisons of leisure-time physical activity and cardiorespiratory fitness as predictors of all-cause mortality in men and women. British Journal of Sports Medicine, 45(6), 504-510.
 
[4]  Tanasescu, M., Leitzmann, M. F., Rimm, E. B., & Hu, F. B. (2003). Physical activity in relation to cardiovascular disease and total mortality among men with type 2 diabetes. Circulation, 107(19), 2435-2439.
 
[5]  Durand, G., Tsismenakis, A. J., Jahnke, S. A., Baur, D. M., Christophi, C. A., & Kales, S. N. (2011). Firefighters' physical activity: Relation to fitness and cardiovascular disease risk. Medicine and Science in Sports and Exercise, In Print.
 
[6]  Franco, O. H., de Laet, C., Peeters, A., Jonker, J., Mackenbach, J., & Nusselder, W. (2005). Effects of physical activity on life expectancy with cardiovascular disease. Archives of Internal Medicine, 165(20), 2355-2360.
 
[7]  Sesso, H. D., Paffenbarger, R. S., Ha, T., & Lee, I. M. (1999). Physical activity and cardiovascular disease risk in middle-aged and older women. American Journal of Epidemiology, 150(4), 408-416.
 
[8]  Brien, S. E., Katzmarzyk, P. T., Craig, C. L., & Gauvin, L. (2007). Physical activity, cardiorespiratory fitness and body mass index as predictors of substantial weight gain and obesity: The Canadian physical activity longitudinal study. Canadian Journal of Public Health, 98(2), 121-124.
 
[9]  Buchowski, M. S., Cohen, S. S., Matthews, C. E., Schlundt, D. G., Signorello, L. B., Hargreaves, M. K., & Blot, W. J. (2010). Physical activity and obesity gap between black and white women in the southeastern U.S.American Journal of Preventive Medicine, 39(2), 140-147.
 
[10]  Backmand, H., Kaprio, J., Kuiala, U., & Sarna, S. (2003). Influence of physical activity on depression and anxiety of former elite athletes.International Journal of Sports Medicine, 24(8), 609-619.
 
[11]  Strawbridge, W. J., Deleger, S., Roberts, R. E., & Kaplan, G. A. (2002). Physical activity reduces the risk of subsequent depression for older adults.American Journal of Epidemiology, 156(4), 328-334.
 
[12]  Vallance, J. K., Winkler, E. A., Gardiner, P. A., Healy, G. N., Lynch, B. M., & Owen, N. (2011). Associations of objectively-assessed physical activity and sedentary time with depression: NHANES (2005-2006).Preventive Medicine, In Press.
 
[13]  Centers for Disease Control and Prevention. Measuring healthy days: Population assessment of health-related quality of life. Centers for Disease Control and Prevention, Atlanta, Georgia 2000.
 
[14]  Dominick, K. L., Ahern, F. M., Gold, C. H.,&Heller, D. A.(2004). Health-related quality of life among older adults with arthritis. Health and Quality of Life Outcomes, 13(2), 5-12.
 
[15]  Dominick, K. L., Ahern, F. M., Gold, C. H., &Heller, D. A.(2002). Relationship of health-related quality to health care utilization and mortality among older adults. Aging Clinical and Experimental Research, 14(6), 499-508.
 
[16]  Heath, G. W., & Brown, D. W. (2009). Recommended levels of physical activity and health-related quality of life among overweight and obese adults in the United States, 2005. Journal of Physical Activity and Health, 6(4), 403-411.
 
[17]  Brown, D. W., Balluz, L. S., Heath, G. W., Moriarty, D. G., Ford, E. S., Giles, W. H., &Mokdad, A. H. (2003). Associations between recommended levels of physical activity and health-related quality of life. Findings from the 2001 Behavioral Risk Factor Surveillance System (BRFSS) survey.Preventive Medicine, 37(5), 520-528.
 
[18]  Aoyagi, Y., Park, H., Park, S., &Shephard, R. J. (2010). Habitual physical activity and health-related quality of life in older adults: Interactions between the amount and intensity of activity (the Nakanojo Study). Quality of Life Research, 19(3), 333-338.
 
[19]  Balboa-Castillo, T., León-Muñoz, L.M., Graciani, A., Rodríguez-Artalejo, F., & Guallar-Castillón, P., (2011). Longitudinal association of physical activity and sedentary behavior during leisure time with health-related quality of life in community-dwelling older adults.Health and Quality of Life Outcomes, 27(9), 47.
 
[20]  Tessier, S., Vuillemin, A., Bertrais, S., Boini, S., Le Bihan, E., Oppert, J. M., Hercberg, S., Guillemin, F., &Briançon, S. (2007). Association between leisure-time physical activity and health-related quality of life changes over time. Preventive Medicine, 44(3), 202-208.
 
[21]  Luncheon, C., & Zack, M. (2011). Health-related quality of life and the physical activity levels of middle-aged women, California Health Interview Survey, 2005. Prevention of Chronic Disease, 8(2), A36.
 
[22]  Courneya, K.S., Tamburrini, A.L., Woolcott, C.G., McNeely, M.L., Karvinen, K.H., Campbell, K.L., McTiernan, A., &Friedenreich, C.M. (2011). The Alberta Physical Activity and Breast Cancer Prevention Trial: Quality of life outcomes. Preventive Medicine, 52(1), 26-32.
 
[23]  Sørensen, J., Sørensen, J. B., Skovgaard, T., Bredahl, T., &Puggaard, L. (2011). Exercise on prescription: Changes in physical activity and health-related quality of life in five Danish programmes.European Journal of Public Health, 21(1), 56-62.
 
[24]  Bertheussen, G. F., Romundstad, P. R., Landmark, T., Kaasa, S., Dale, O., &Helbostad, J. L. (2011). Associations between physical activity and physical and mental health--a HUNT 3 study. Medicine and Science in Sports and Exercise, 43(7), 1220-1228.
 
[25]  U. S. Department of Health and Human Services. Healthy people 2020. Available at: http://www.healthypeople.gov/2020/topicsobjectives2020/default.aspx. Accessed June 7, 2011.
 
[26]  Allen, M.J., & Yen, W. M. (2002). Introduction to Measurement Theory. Long Grove, IL: Waveland Press.
 
[27]  Kline, T. (2009). Psychological testing: A practical approach to design and evaluation. (3rd Ed.). New Deli, India: Vistaar Publications.
 
[28]  Deyo, R. A., Diehr, P., & Patrick, D. L. (1991). Reproducibility and responsiveness of health status measures: Statistics and strategies for evaluation. Controlled Clinical Trial, 12(4 Suppl), 142S-158S.
 
[29]  Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297-334.
 
[30]  Hambleton, R. K., Swaminathan, H., & Rogers, H. J. (1991). Fundamentals of item response theory. New Deli, India: Sage Publications.
 
[31]  Wood, T. M., Zhu, W. (2006). Measurement theory and practice in kinesiology. Champaign, IL: Human Kinetics.
 
[32]  Ware, J.E., Sherbourne, C.D.(1992). The MOS 36-item short-form health survey (SF-36): I. Conceptual framework and item selection. Medical Care, 30(6), 473.
 
[33]  Ware, J.E. (2004). SF-36 Health Survey Update. Retrieved August 15, 2011, from http://www.sf-36.org/announcements/Updated_SF36_bookChapter_Sept04.pdf
 
[34]  QualityMetric. (2011). SF Health Surveys. Retrieved August 15, 2011, from http://www.qualitymetric.com/WhatWeDo/GenericHealthSurveys/tabid/184/Default.aspx.
 
[35]  McHorney, C.A., Ware, J.E., Sherbourne, C.D.(1993). The MOS 36-item short-form health survey (SF-36): II. Psychometric and clinical tests of validity in measuring physical and mental health constructs. Medical Care, 31(3), 247.
 
[36]  McHorney, C.A., Ware, J.E., Sherbourne, C.D.(1994). The MOS 36-item short-form health survey (SF-36): III. Tests of data quality, scaling assumptions, and reliability across diverse patient groups. Medical Care, 32(1), 40.
 
[37]  Laguardia, J., Campos. M,R,, Travassos. C.M., Najar, A.L., Anjos, L.A., Vasconcellos, M.M. (2011). Psychometric evaluation of the SF-36 (v.2) questionnaire in a probability sample of household: Results of the survey Pesquisa Dimensoes Sociais das Desigualdades (PDSD), Brazil, 2008. Health and Quality of Life Outcomes, 9(1), 61.
 
[38]  Mishra, G.D., Gale, C.R., Sayer, A.A., Cooper, C., Dennison, E.M., Whalley, L.J., Craig, L., Kuh, D., Deary, I.J. (2011). How useful are the SF-36 sub-scales in older people? Mokken scaling of data from the HALCyon programme.Quality of life Research, 20(7), 1005.
 
[39]  Laosanguanek, N., Wiroteurairuang, T., Siritho, S., Prayoonwiwat, N. (2011). Reliability of the Thai version of SF-36 questionnaire for an evaluation of quality of life in multiple sclerosis patients in multiple sclerosis clinic at Siriraj Hospital.Journal of the Medical Association of Thailand, 94 Suppl 1, S84.
 
[40]  Freidheim, O. M. S., Borchgrevin, P. C., Saltnes, T., & Kaasa, S. (2007). Validation and comparison of the health related quality of life instrument EORTC QLQ C30 and SF36 in assessment of patients with non-malignant pain. Journal of Pain and Symptom Management, 34(6), 657.
 
[41]  Raczek AE, Ware JE, Bjorner JB Gandek B, Haley SM, Aaronson NK, Apolone G, Bech P, Brazier JE, Bullinger M, Sullivan M. (1998). Comparison of Rasch and summated rating scales constructed from SF-36 physical functioning items in seven countries: Results from the IQOLA Project. Journal of Clinical Epidemiology,51(11), 1203.
 
[42]  McHorney CA, Haley SM, Ware JE Jr. (1997). Evaluation of the MOS SF-36 Physical Functioning Scale (PF-10): II. Comparison of relative precision using Likert and Rasch scoring methods. Journal of Clinical Epidemiology, 50(4), 451.
 
[43]  Haley, S. M., McHorney, C. A., & Ware, J. E., Jr. (1994). Evaluation of the MOS SF-36 physical functioning scale (PF-10): I. Unidimensionality and reproducibility of the Rasch item scale. [Research Support, Non-U.S. Gov't]. J Clin Epidemiol, 47(6), 671-684.
 
[44]  Gilson BS, Gilson JS, Bergner M, Bobbit RA, Kressel S, Pollard WE, Vesselago M. (1975). The sickness impact profile. Development of an outcome measure of health care. American Journal of Public Health, 65(12), 1304-1310.
 
[45]  Bergner, M., Bobbitt, R. A., Carter, W. B., & Gilson, B. S. (1981). Sickness Impact Profile: Development and final revision of a health status measure. Medical Care, 19(8), 787.
 
[46]  Coons, S. J., Rao, S., Keininger, D. L., & Hays, R. D. (2000). A comparative review of generic quality-of-life instruments. Pharmacoeconomics, 17(1), 13-35.
 
[47]  Bergner, M, Bobbitt, R. A., Pollard, W. E., Martin, D. P., &Gilson, B.S. (1976). The sickness impact profile: Validation of a health status measure.Medical Care, 14(1), 57.
 
[48]  Bergner, M., Bobbitt, R. A., Kressel, S., Pollard, W. E., Gilson, B. S., &Morris, J. R.(1976). The sickness impact profile: Conceptual formulation and methodology for the development of a health status measure.International Journal of Health Services, 6(3), 393.
 
[49]  Pollard WE, Bobbitt RA, Bergner M, Martin DP, Gilson BS. (1976). The Sickness Impact Profile: Reliability of a health status measure. Medical Care, 14(2), 146.
 
[50]  Lindeboom R, Holman R, Dijkgraaf MG, Sprangers MA, Buskens E, Diederiks JP, De Haan RJ. (2004). Scaling the sickness impact profile using item response theory: An exploration of linearity, adaptive use, and patient driven item weights.Journal of Clinical Epidemiology, 57(1), 66.
 
[51]  Brazier, J., Jones, N., & Kind, P. (1993). Testing the validity of the Euroqol and comparing it with the SF-36 health survey questionnaire. Quality of Life Research, 2(3), 169.
 
[52]  Agency for Healthcare Research and Quality (AHRQ). (2005). Calculating the U.S. Population-based EQ-5D Index Score. Retrieved August 15, 2011, from http://www.ahrq.gov/rice/EQ5Dscore.htm.
 
[53]  Rabin R, Oemar M, Oppe M, on behalf of the EuroQoL Group: EQ-5D-3L user guide. 4th edition. Rotterdam: EuroQoL Group; 2011.
 
[54]  Vestergaard, S., Kronborg, C., & Puggaard, L. (2008). Home-based video exercise intervention for community-dwelling frail older women: a randomized controlled trial. Aging Clin Exp Res, 20(5), 479-486.
 
[55]  Herdman M, Gudex C, Lloyd A, Janssen M, Kind P, Parkin D, Bonsel G, Badia X. (2011). Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Quality of Life Research, In Press.
 
[56]  Essink-Bot, M. L., Krabbe, P. F., Bonsel, G. J., Aaronson, N. K. (1997). An empirical comparison of four generic health status measures. The Nottingham Health Profile, the Medical Outcomes Study 36-item Short-Form Health Survey, the COOP/WONCA charts, and the EuroQol instrument.Medical Care, 35(5), 522-537.
 
[57]  Pickard AS, Kohlmann T, Janssen MF, Bonsel G, Rosenbloom S, Cella D. (2007). Evaluating equivalency between response systems: Application of the Rasch Model to a 3-level and 5-level EQ-5D. Medical Care, 45(9), 812.
 
[58]  Hunt, S. M., McEwan, J., & McKenna, S. P. (1985). Measuring health status: A new tool for clinicians and epidemiologists. Journal of the Royal College of General Practitioners, 35(273), 185.
 
[59]  Hunt, S. M., McKenna, S. P., McEwen, J., Williams, J., & Papp, E.(1981). The NottinghamHealth Profile: Subjective health status and medical consultations.Social Science Medicine, 15(3), 221.
 
[60]  Mauskopf J, Austin R, Dix L, Berzon R. (1994). The Nottingham Health Profile as a measure of quality of life in zoster patients: Convergent and discriminant validity.Quality of Life Research, 3(6), 43.
 
[61]  Hagell P, Whalley D, McKenna SP, Lindvall O. (2003). Health status measurement in Parkinson's disease: Validity of the PDQ-39 and Nottingham Health Profile.Movement Disorders, 18(7), 773-783.
 
[62]  Prieto, L., Alonso J, Lamarca R, Wright BD, (1998). Rasch Measurement for Reducing the Items of the Nottingham Health Profile. Journal of Outcome Measurement, 2(4), 285.
 
[63]  Teixeira-Salmela LF, Magalhães Lde C, Souza AC, Lima Mde C, Lima RC, Goulart F. (2004). Adaptation of the Nottingham Health Profile: A simple measure to assess quality of life. Cadernos de saúde pública, 20(4), 905.
 
[64]  Saxena, S., Carlson, D., & Billington, R. (2001). The WHO quality of life assessment instrument (WHOQOL-Bref): The importance of its items for cross-cultural research. Quality of Life Research, 10(8), 711-721.
 
[65]  WHOQoL Group. "Development of the World Health Organization WHOQOL-BREF quality of life assessment." Psychological medicine 28.03 (1998): 551-558.
 
[66]  Skevington, S. M., Lotfy, M., & O'Connell, K. A. (2004). The World Health Organization's WHOQOL-BREF quality of life assessment: Psychometric properties and results of the international field trial. A report from the WHOQOL group. Quality of Life Research, 13(2), 299-310.
 
[67]  Noerholm, V., Groenvold, M., Watt, T., Bjorner, J. B., Rasmussen, N. A., & Bech, P. (2004). Quality of life in the Danish general population--normative data and validity of WHOQOL-BREF using Rasch and item response theory models.Quality of Life Research, 13(2), 531-540.
 
[68]  Kaplan, R. M., Sieber, W. J., & Ganiats, T. G. (1997). The quality of well-being scale: Comparison of the interviewer-administered version with a self-administered questionnaire. Psychology & Health, 12(6), 783-791.
 
[69]  Kaplan, R. M., Atkins, C. J., & Timms, R. (1984). Validity of a quality of well-being scale as an outcome measure in chronic obstructive pulmonary disease. Journal of Chronic Disease, 37(2), 85-95.
 
[70]  Hughes, T. E., Kaplan, R. M., Coons, S. J., Draugalis, J. R., Johnson, J. A., & Patterson, T. L. (1997). Construct validities of the Quality of Well-Being Scale and the MOS-HIV-34 Health Survey for HIV-infected patients. Medical Decision Making, 17(4), 439-446.
 
[71]  Cherepanov, D., Palta, M., & Fryback, D. G. (2010). Underlying dimensions of the five health-related quality-of-life measures used in utility assessment: Evidence from the National Health Measurement Study. Medical Care, 48(8), 718-725.
 
[72]  Horsman, J., Furlong, W., Feeny, D., & Torrance, G. (2003). The Health Utilities Index (HUI): Concepts, measurement properties and applications. Health and Quality of Life Outcomes, 1, 54.
 
[73]  Grootendorst, P., Feeny, D., & Furlong, W. (2000). Health Utilities Index Mark 3: Evidence of construct validity for stroke and arthritis in a population health survey. Medical Care, 38(3), 290-299.
 
[74]  Torrance, G. W., Furlong, W., Feeny, D., & Boyle, M. (1995). Multi-attribute preference functions. Health Utilities Index. Pharmacoeconomics, 7(6), 503-520.
 
[75]  Boyle, M. H., Furlong, W., Feeny, D., Torrance, G. W., & Hatcher, J. (1995). Reliability of the Health Utilities Index--Mark III used in the 1991 cycle 6 Canadian General Social Survey Health Questionnaire. Quality of Life Research, 4(3), 249-257.
 
[76]  Luo, N., Chew, L. H., Fong, K. Y., Koh, D. R., Ng, S. C., Yoon, K. H., . . . Thumboo, J. (2003). A comparison of the EuroQol-5D and the Health Utilities Index mark 3 in patients with rheumatic disease. Journal of Rheumatology, 30(10), 2268-2274.
 
[77]  Fryback, D. G., Palta, M., Cherepanov, D., Bolt, D., & Kim, J. S. (2010). Comparison of 5 health-related quality-of-life indexes using item response theory analysis. Medical Decision Making, 30(1), 5-15.
 
[78]  Taylor, V. R., & National Center for Chronic Disease Prevention and Health Promotion (U.S.). Division of Adult and Community Health. (2000). Measuring healthy days : Population assessment of health-related quality of life. Atlanta, Ga.: U.S. Dept. of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Adult and Community Health.
 
[79]  Hennessy, C. H., Moriarty, D. G., Zack, M. M., Scherr, P. A., & Brackbill, R. (1994). Measuring health-related quality of life for public health surveillance. Public Health Reports, 109(5), 665-672.
 
[80]  Andresen, E. M., Catlin, T. K., Wyrwich, K. W., & Jackson-Thompson, J. (2003). Retest reliability of surveillance questions on health related quality of life. Journal of Epidemiology and Community Health, 57(5), 339-343.
 
[81]  Toet, J., Raat, H., & van Ameijden, E. J. (2006). Validation of the Dutch version of the CDC core healthy days measures in a community sample. Quality of Life Research, 15(1), 179-184.
 
[82]  Hawthorne, G., Richardson, J., & Osborne, R. (1999). The Assessment of Quality of Life (AQoL) instrument: A psychometric measure of health-related quality of life. Quality of Life Research, 8(3), 209-224.
 
[83]  Hawthorne, G. (2009). Assessing utility where short measures are required: Development of the short Assessment of Quality of Life-8 (AQoL-8) instrument. Value Health, 12(6), 948-957.
 
[84]  Hawthorne, G. (2003). The effect of different methods of collecting data: Mail, telephone and filter data collection issues in utility measurement. Quality of Life Research, 12(8), 1081-1088.
 
[85]  Parkerson, G. R., Jr., Broadhead, W. E., & Tse, C. K. (1990). The Duke Health Profile. A 17-item measure of health and dysfunction. Medical Care, 28(11), 1056-1072.
 
[86]  Vo, T. X., Guillemin, F., & Deschamps, J. P. (2005). Psychometric properties of the DUKE Health Profile-adolescent version (DHP-A): A generic instrument for adolescents. Quality of Life Research, 14(10), 2229-2234.
 
[87]  Baumann, C., Erpelding, M. L., Perret-Guillaume, C., Gautier, A., Regat, S., Collin, J. F., & Briancon, S. (2011). Health-related quality of life in French adolescents and adults: Norms for the DUKE Health Profile. BMC Public Health, 27(11), 401.