The PedsQL™ Multidimensional Fatigue Scale in young adults: Feasibility, reliability and validity in a University student population

Quality of Life Research

Volumn 17, Issue 1, 2008, Pages 105-114

  Varni, James W ^a,b   Limbers, Christine A ^b  

^a TEXAS A M COLLEGE OF MEDICINE   (United States)

^b TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Fatigue; Health related quality of life; Patient reported outcomes; PedsQL ; Self report; SF 8 Health survey; University students; Young adults

Indexed keywords

ADULT; ARTICLE; CORRELATION ANALYSIS; FATIGUE; FEASIBILITY STUDY; FEMALE; HEALTH CARE QUALITY; HUMAN; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; QUALITY OF LIFE; VALIDITY; ADOLESCENT; HEALTH STATUS; HEALTH SURVEY; PSYCHOLOGICAL ASPECT; QUESTIONNAIRE; REPRODUCIBILITY; UNITED STATES; UNIVERSITY; VALIDATION STUDY;

ADOLESCENT; ADULT; FATIGUE; FEASIBILITY STUDIES; FEMALE; HEALTH STATUS; HEALTH SURVEYS; HUMANS; MALE; QUESTIONNAIRES; REPRODUCIBILITY OF RESULTS; UNITED STATES; UNIVERSITIES;

EID: 37749030481     PISSN: 09629343     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11136-007-9282-5     Document Type: Article

References (69)

1. Varni, J. W., Burwinkle, T. M., & Lane, M. M. (2005). Health-related quality of life measurement in pediatric clinical practice: An appraisal and precept for future research and application. Health and Quality of Life Outcomes, 3(34), 1-9.
2. Matza, L. S., Swensen, A. R., Flood, E. M., Secnik, K., & Leidy, N. K. (2004). Assessment of health-related quality of life in children: A review of conceptual, methodological, and regulatory issues. Value in Health, 7, 79-92.
3. FDA: Guidance for industry (2006). Patient-reported outcome measures: Use in medical product development to support labeling claims. Rockville, MD: Center for drug evaluation and research, food and drug administration.
4. Razzouk, B. I., Hord, J. D., Hockenberry, M., Hinds, P. S., Feusner, J., Williams, D., & Rackoff, W. R. (2006). Double-blind, placebo-controlled study of quality of life, hematologic end points, and safety of weekly epoetin alfa in children with cancer receiving myelosuppressive chemotherapy. Journal of Clinical Oncology, 24, 3583-3589.
5. Varni, J. W., Burwinkle, T. M., & Seid, M. (2005). The PedsQL™ as a pediatric patient-reported outcome: Reliability and validity of the PedsQL™ Measurement Model in 25,000 children. Expert Review of Pharmacoeconomics and Outcomes Research, 5, 705-719.
6. Schwimmer, J. B., Middleton, M. S., Deutsch, R., & Lavine, J. E. (2005). A phase 2 trial of metformin as a treatment for non-diabetic pediatric non-alcoholic steatohepatitis. Alimentary Pharmacology & Therapeutics, 21, 871-879.
7. Connelly, M., & Rapoff, M. A. (2006). Assessing health-related quality of life in children with recurrent headache: Reliability and validity of the PedsQL™ 4.0 in a pediatric sample. Journal of Pediatric Psychology, 31, 698-702.
8. Varni, J. W., Seid, M., & Rode, C. A. (1999). The PedsQL™: Measurement model for the Pediatric Quality of Life Inventory. Medical Care, 37, 126-139.
9. Patrick, D. L., & Deyo, R. A. (1989). Generic and disease-specific measures in assessing health status and quality of life. Medical Care, 27, S217-S233.
10. Varni, J. W., Seid, M., & Kurtin, P. S. (2001). PedsQL™ 4.0: Reliability and validity of the Pediatric Quality of Life Inventory™ version 4.0 Generic Core Scales in healthy and patient populations. Medical Care, 39, 800-812.
11. Varni, J. W., Burwinkle, T. M., Rapoff, M. A., Kamps, J. L., & Olson, N. (2004). The PedsQL™ in pediatric asthma: Reliability and validity of the Pediatric Quality of Life Inventory™ Generic Core Scales and Asthma Module. Journal of Behavioral Medicine, 27, 297-318.
12. Varni, J. W., Seid, M., Knight, T. S., Burwinkle, T. M., Brown, J., & Szer, I. S. (2002). The PedsQL™ in pediatric rheumatology: Reliability, validity, and responsiveness of the Pediatric Quality of Life Inventory™ Generic Core Scales and Rheumatology Module. Arthritis and Rheumatism, 46, 714-725.
13. Varni, J. W., Burwinkle, T. M., Katz, E. R., Meeske, K., & Dickinson, P. (2002). The PedsQL™ in pediatric cancer: Reliability and validity of the Pediatric Quality of Life Inventory™ Generic Core Scales, Multidimensional Fatigue Scale, and Cancer Module. Cancer, 94, 2090-2106.
14. Varni, J. W., Burwinkle, T. M., Berrin, S. J., Sherman, S. A., Artavia, K., Malcarne, V. L., & Chambers, H. G. (2006). The PedsQL™ in pediatric cerebral palsy: Reliability, validity, and sensitivity of the Generic Core Scales and Cerebral Palsy Module. Developmental Medicine and Child Neurology, 48, 442-449.
15. Varni, J. W., Burwinkle, T. M., Jacobs, J. R., Gottschalk, M., Kaufman, F., & Jones, K. L. (2003). The PedsQL™ in Type 1 and Type 2 diabetes: Reliability and validity of the Pediatric Quality of Life Inventory™ Generic Core Scales and Type 1 Diabetes Module. Diabetes Care, 26, 631-637.
16. Palmer, S. N., Meeske, K. A., Katz, E. R., Burwinkle, T. M., & Varni, J. W. (2007). The PedsQL™ Brain Tumor Module: Initial reliability and validity. Pediatric Blood and Cancer, 49, 287-293.
17. Varni, J. W., Burwinkle, T. M., & Szer, I. S. (2004). The PedsQL™ Multidimensional Fatigue Scale in pediatric rheumatology: Reliability and validity. Journal of Rheumatology, 31, 2494-2500.
18. Cella, D. (1997). The functional assessment of cancer therapy: Anemia (FACT-AN) scale: A new tool for the assessment of outcomes in cancer anemia and fatigue. Seminars in Hematology, 34, 13-19.
19. Hann, D. M., Jacobsen, P. B., Azzarello, L. M., Martin, S. C., Curran, S. L., Fields, K. K., Greenberg, H., & Lyman, G. (1998). Measurement of fatigue in cancer patients: Development and validation of the fatigue symptom inventory. Quality of Life Research, 7, 301-310.
20. Belza, B. L. (1995). Comparison of self-reported fatigue in rheumatoid arthritis and controls. Journal of Rheumatology, 22, 639-643.
21. Smets, E. M. A., Garssen, B., Bonke, B., & De Haes, J. C. J. M. (1995). The multidimensional fatigue Inventory (MFI): Psychometric qualities of an instrument to assess fatigue. Journal of Psychosomatic Research, 39, 315-325.
22. Stein, K. D., Martin, S. C., Hann, D. M., & Jacobsen, P. B. (1998). A multidimensional measure of fatigue for use with cancer patients. Cancer Practice, 6, 143-152.
23. Okuyama, T., Akechi, T., Kugaya, A., Okamura, H., Shima, Y., Maruguchi, M., Hosaka, T., & Uchitomi, Y. (2000). Development and validation of the cancer fatigue scale: A brief, three-dimensional, self-rating scale for assessment of fatigue in cancer patients. Journal of Pain and Symptom Management, 19, 5-14.
24. Varni, J. W., Wilcox, K. T., Hanson, V., & Brik, R. (1988). Chronic musculoskeletal pain and functional status in juvenile rheumatoid arthritis: An empirical model. Pain, 32, 1-7.
25. Varni, J. W., Burwinkle, T. M., & Katz, E. R. (2004). The PedsQL™ in pediatric cancer pain: A prospective longitudinal analysis of pain and emotional distress. Journal of Developmental and Behavioral Pediatrics, 25, 1-8.
26. Berrin, S. J., Malcarne, V. L., Varni, J. W., Burwinkle, T., Sherman, S. A., Artavia, K. A., & Chambers, H. G. (2007). Pain, fatigue, and school functioning in children with cerebral palsy: A path-analytic model. Journal of Pediatric Psychology, 32, 330-337.
27. Katz, E. R., Burwinkle, T. M., Varni, J. W., & Barr, R. D (2007). Health-related quality of life in adolescents and young adults with cancer. In Cancer in Adolescents and Young Adults. A. Bleyer, R. Barr, K. Albritton, M. Phillips, & S. Siegel (Eds.) New York: Springer Verlag.
28. Varni, J. W., Burwinkle, T. M., Limbers, C. A., & Szer, I. S. (2007). The PedsQL™ as a patient-reported outcome in children and adolescents with fibromyalgia: An analysis of OMERACT domains. Health and Quality of Life Outcomes, 5(9), 1-12.
29. Zullig, K. J. (2005). Using CDC's health-related quality of life scale on a college campus. American Journal of Health Behavior, 29, 569-578.
30. Robins, R. W., Noftle, E. E., Trzesniewski, K. H., & Roberts, B. W. (2005). Do people know how their personality has change?: Correlates of perceived and actual personality change in young adulthood. Journal of Personality, 73, 489-522.
31. Yang, C. M., Wu, C. H., Hsieh, M. H., Lui, M. H., & Lu, F. H. (2003). Coping with sleep disturbances among young adults: A survey of first-year college students in Taiwan. Behavioral Medicine, 29, 133-138.
32. Vaez, M., & Laflamme, L. (2003). Health behaviors, self-rated health, and quality of life: A study among first-year Swedish university students. Journal of American College Health, 51, 156-162.
33. Vaez, M., Ponce de Leon, A., & Laflamme, L. (2006). Health-related determinants of perceived quality of life: A comparison between first-year university students and their working peers. Work, 26, 167-177.
34. Bovier, P. A., Chamot, E., & Perneger, T. V. (2004). Perceived stress, internal resources, and social support as determinants of mental health among young adults. Quality of Life Research, 13, 161-170.
35. Khawaja, N. G., & Bryden, K. J. (2006). The development and psychometric investigation of the university student depression inventory. Journal of Affective Disorders, 96, 21-29.
36. Stewart-Brown, S., Evan, J., Patterson, J., Petersen, S., Doll, H., Balding, J., & Regis, D. (2000). The health of students in institutes of higher education: An important and neglected public health problem? Journal of Public Health Medicine, 22, 492-499.
37. Varni, J. W., & Limbers, C. A. (2007). The PedsQL™ 4.0 Generic Core Scales Young Adult Version: Feasibility, reliability and validity in a university student population. (Unpublished manuscript).
38. Ware, J. E., Kosinski, M., Dewey, J. E., Gandek, B. (2001). How to Score and Interpret Single-Item Health Status Measures: A Manual for Users of the SF-8™ Health Survey. Lincoln, RI: QualityMetric Incorporated.
39. Fayers, P. M., & Hand, D. J. (1997). Factor analysis, causal indicators and quality of life. Quality of Life Research, 6, 139-150.
40. Aday, L. A. (1996). Designing and conducting health surveys: A comprehensive guide, 2nd edn. San Francisco: Jossey-Bass.
41. Fowler, F. J., Jr. (1995). Improving survey questions: Design and evaluation. Thousand Oaks, CA: Sage.
42. Schwarz, N., Sudman N. (eds.) (1996). Answering questions: Methodology for determining cognitive and communicative processes in survey research. San Francisco: Jossey-Bass.
43. Varni, J. W., Thompson, K. L., & Hanson, V. (1987). The Varni/Thompson Pediatric Pain Questionnaire: I. Chronic musculoskeletal pain in juvenile rheumatoid arthritis. Pain, 28, 27-38.
44. Varni, J. W., Waldron, S. A., Gragg, R. A., Rapoff, M. A., Bernstein, B. H., Lindsley, C. B., & Newcomb, M. D. (1996). Development of the Waldron/Varni Pediatric Pain Coping Inventory. Pain, 67, 141-150.
45. Fairclough, D. L. (2002). Design and analysis of quality of life studies in clinical trials: Interdisciplinary statistics. New York: Chapman & Hall/CRC.
46. Varni, J. W., Burwinkle, T. M., Seid, M., & Skarr, D. (2003). The PedsQL™ 4.0 as a pediatric population health measure: Feasibility, reliability, and validity. Ambulatory Pediatrics, 3, 329-341.
47. Hollingshead, A. B. (1975). Four Factor Index of Social Status. New Haven, CT: Yale University.
48. McHorney, C. A., Ware, J. E., Lu, J. F. R., & 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, 40-66.
49. Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297-334.
50. Nunnally, J. C., & Bernstein, I. R. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill.
51. Pedhazur, E. J., & Schmelkin, L. P. (1991). Measurement, design, and analysis: An integrated approach. Hillsdale, NJ: Erlbaum.
52. McHorney, C. A., Ware, J. E., & Raczek, A. E. (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, 247-263.
53. Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Hillsdale, NJ: Erlbaum.
54. Fayers, P. M., & Machin, D. (2000). Quality of life: Assessment, analysis, and interpretation. New York: Wiley.
55. SPSS (2005). SPSS 14.0 for Windows. Chicago: SPSS, Inc.
56. Floyd, F. J., & Widaman, K. F. (1995). Factor analysis in the development and refinement of clinical assessment instruments. Psychological Assessment, 7, 286-299.
57. Cella, D., Lai, J. S., Chang, C. H., Peterman, A., & Slavin, M. (2002). Fatigue in cancer patients compared with fatigue in the general United States population. Cancer, 94, 528-538.
58. Wolfe, F., Hawley, D. J., & Wilson, K. (1996). The prevalence and meaning of fatigue in rheumatic disease. Journal of Rheumatology, 23, 1407-1417.
59. Banthia, R., Malcarne, V. L., Ko, C. M., Varni, J. W., & Sadler, G. R. Fatigued breast cancer survivors: The role of sleep quality, depressed mood, stage, and age. Psychology and Health (in press).
60. Anderson, K. O., Getto, C. J., Mendoza, T. R., Palmer, S. N., Wang, X. S., Reyes-Gibby, C. C., & Cleeland, C. S. (2003). Fatigue and sleep disturbance in patients with cancer, patients with clinical depression, and community-dwelling adults. Journal of Pain and Symptom Management, 25, 307-318.
61. Okuyama, T., Akechi, T., Kugaya, A., Okamura, H., Imoto, S., Nakanon, T., Mikami, I., Hosaka, T., & Uchitomi, Y. (2000). Factors correlated with fatigue in disease-free breast cancer patients: Application of the Cancer Fatigue Scale. Supportive Care in Cancer, 8, 215-222.
62. Bower, J. E., Ganz, P. A., Desmond, K. A., Rowland, J. H., Meyerowitz, B. E., & Belin, T. R. (2000). Fatigue in breast cancer survivors: Occurrence, correlates, and impact on quality of life. Journal of Clinical Oncology, 18, 743-753.
63. Gaston-Johansson F, Fall-Dickson, J. M., Bakos, A. B., & Kennedy, M. J. (1999). Fatigue, pain, and depression in pre-autotransplant breast cancer patients. Cancer Practice, 7, 240-247.
64. Akechi, T., Kugaya, A., Okamura, H., Yamawaki, S., Uchitomi, Y. (1999). Fatigue and its associated factors in ambulatory cancer patients: A preliminary study. Journal of Pain and Symptom Management, 17, 42-48.
65. Donovan, K. A., Andrykowski, M. A., Small, B. J., Munster, P., & Jacobsen, P. B. (2007). Utility of a cognitive-behavioral model to predict fatigue following breast cancer treatment. Health Psychology, 26, 464-472.
66. Lee, Y. C., Chien, K. L., & Chen, H. H. (2007). Lifestyle risk factors associated with fatigue in graduate students. Journal of Formosan Medical Association, 106, 565-572.
67. Oginska, H., & Pokorski, J. (2006). Fatigue and mood correlates of sleep length in three age-social groups: School children, students, and employees. Chronobiology International, 23, 1317-1328.
68. Lavidor, M., Weller, A., & Babkoff, H. (2002). Multidimensional fatigue, somatic symptoms and depression. British Journal of Health Psychology, 7, 67-75.
69. ter Wolbeek, M., van Doornen, L. J. P., Kavelaars, A., & Heijnen, C. J. (2006). Severe fatigue in adolescents: A common phenomenon? Pediatrics, 117, e1078-e1086.