Demographic correlates of fatigue in the US general population: Results from the patient-reported outcomes measurement information system (PROMIS) initiative

Journal of Psychosomatic Research

Volumn 71, Issue 3, 2011, Pages 117-123

  Junghaenel, Doerte U ^a   Christodoulou, Christopher ^a   Lai, Jin Shei ^a   Stone, Arthur A ^a  

^a STONY BROOK UNIVERSITY   (United States)

Author keywords

Demographics; Fatigue; Patient reported outcomes; PROMIS; US population

Indexed keywords

ADULT; AGE DISTRIBUTION; AGED; ARTICLE; CLINICAL EVALUATION; EDUCATIONAL STATUS; FATIGUE; FEMALE; HUMAN; MALE; MARRIAGE; MEDICAL INFORMATION SYSTEM; OUTCOME ASSESSMENT; PATIENT REPORTED OUTCOME MEASUREMENT INFORMATION SYSTEM; SEX DIFFERENCE; SHORT FORM 36;

ADULT; AGE FACTORS; AGED; AGED, 80 AND OVER; DEMOGRAPHY; EDUCATIONAL STATUS; FATIGUE; FEMALE; HUMANS; INFORMATION SYSTEMS; MALE; MARRIAGE; MIDDLE AGED; QUESTIONNAIRES; RISK FACTORS; SAMPLING STUDIES; SEX FACTORS; UNITED STATES; YOUNG ADULT;

EID: 80051703748     PISSN: 00223999     EISSN: 18791360     Source Type: Journal    
DOI: 10.1016/j.jpsychores.2011.04.007     Document Type: Article

References (57)

1. Ranjith G Epidemiology of chronic fatigue syndrome. Occup Med Oxf 2005, 55:13-19.
2. Ricci JA, Chee E, Lorandeau AL, Berger J Fatigue in the U.S. workforce: prevalence and implications for lost productive work time. J Occup Environ Med 2007, 49:1-10.
3. Dittner AJ, Wessely SC, Brown RG The assessment of fatigue: a practical guide for clinicians and researchers. J Psychosom Res 2004, 56:157-170.
4. Fatigue as a window to the brain 2005, MIT Press, Cambridge, MA. J. DeLuca (Ed.).
5. Fukuda K, Straus SE, Hickie I, Sharpe MC, Dobbins JG, Komaroff A The chronic fatigue syndrome: a comprehensive approach to its definition and study. International Chronic Fatigue Syndrome Study Group. Ann Intern Med 1994, 121:953-959.
6. Christodoulou C The assessment and measurement of fatigue. Fatigue as a window to the brain 2005, 19-35. MIT Press, New York. J. DeLuca (Ed.).
7. Stewart AL, Hays RD, Ware JE Health perceptions, energy/fatigue, and health distress measures. Measuring Functional Status and Well-Being: The Medical Outcomes Study Approach. 1992, 143-172. Duke University Press, Durham, NC. A.L. Stewart, J.E. Ware (Eds.).
8. NorthAmericanNursingDiagnosisAssociation. Nursing Diagnoses: Definition and Classification, 1997-1998. Philadelphia, PA: McGraw-Hill; 1996.
9. Glaus A Fatigue in patients with cancer: analysis and assessment 1998, Springer-Verlag Berlin, Heidelberg, Germany.
10. DeWalt DA, Rothrock N, Yount S, Stone AA Evaluation of item candidates: the PROMIS qualitative item review. Med Care 2007, 45:S12-S21.
11. Christodoulou C, Junghaenel DU, DeWalt DA, Rothrock N, Stone AA Cognitive interviewing in the evaluation of fatigue items: results from the patient-reported outcomes measurement information system (PROMIS). Qual Life Res 2008, 17:1239-1246.
12. Belza BL Comparison of self-reported fatigue in rheumatoid arthritis and controls. J Rheumatol 1995, 22:639-643.
13. Hann DM, Denniston MM, Baker F Measurement of fatigue in cancer patients: further validation of the Fatigue Symptom Inventory. Qual Life Res 2000, 9:847-854.
14. Piper BF, Dibble SL, Dodd MJ, Weiss MC, Slaughter RE, Paul SM The revised Piper Fatigue Scale: psychometric evaluation in women with breast cancer. Oncol Nurs Forum 1998, 25:677-684.
15. Stein KD, Martin SC, Hann DM, Jacobsen PB A multidimensional measure of fatigue for use with cancer patients. Cancer Pract 1998, 6:143-152.
16. Yellen SB, Cella DF, Webster K, Blendowski C, Kaplan E Measuring fatigue and other anemia-related symptoms with the Functional Assessment of Cancer Therapy (FACT) measurement system. J Pain Symptom Manage 1997, 13:63-74.
17. Iriarte J, Katsamakis G, de Castro P The Fatigue Descriptive Scale (FDS): a useful tool to evaluate fatigue in multiple sclerosis. Mult Scler 1999, 5:10-16.
18. Krupp LB, LaRocca NG, Muir-Nash J, Steinberg AD The fatigue severity scale. Application to patients with multiple sclerosis and systemic lupus erythematosus. Arch Neurol 1989, 46:1121-1123.
19. Multiple Sclerosis Council for Clinical Practice Guidelines Fatigue and multiple sclerosis: Evidence-based management strategies for fatigue in multiple sclerosis 1998, Paralyzed Veterans Association of America, Washington DC.
20. Vercoulen JH, Swanink CM, Fennis JF, Galama JM, van der Meer JW, Bleijenberg G Dimensional assessment of chronic fatigue syndrome. J Psychosom Res 1994, 38:383-392.
21. Kittiwatanapaisan W, Gauthier DK, Williams AM, Oh SJ Fatigue in Myasthenia Gravis patients. J Neurosci Nurs 2003, 35:87-93.
22. Cella D, Lai JS, Chang CH, Peterman A, Slavin M Fatigue in cancer patients compared with fatigue in the general United States population. Cancer 2002, 94:528-538.
23. Lai JS, Cella D, Chang CH, Bode RK, Heinemann AW Item banking to improve, shorten and computerize self-reported fatigue: an illustration of steps to create a core item bank from the FACIT-Fatigue Scale. Qual Life Res 2003, 12:485-501.
24. Lai JS, Cella D, Dineen K, Bode R, Von Roenn J, Gershon RC, et al. An item bank was created to improve the measurement of cancer-related fatigue. J Clin Epidemiol 2005, 58:190-197.
25. De Vries J, Michielsen HJ, Van Heck GL Assessment of fatigue among working people: a comparison of six questionnaires. Occup Environ Med 2003, 60:10-15.
26. Rothrock N.E., Hays R.D., Spritzer K., Yount S.E., Riley W., Cella D. Relative to the general US population, chronic diseases are associated with poorer health-related quality of life as measured by the Patient-Reported Outcomes Measurement Information System (PROMIS). J Clin Epidemiol 2010, 11:1195-1204.
27. Cella D, Yount S, Rothrock N, Gershon R, Cook K, Reeve B, et al. The Patient-Reported Outcomes Measurement Information System (PROMIS): Progress of an NIH Roadmap cooperative group during its first two years. Med Care 2007, 45:S3-S11.
28. Reeve BB, Hays RD, Bjorner JB, Cook KF, Crane PK, Teresi JA, et al. Psychometric evaluation and calibration of health-related quality of life item banks: plans for the Patient-Reported Outcomes Measurement Information System (PROMIS). Med Care 2007, 45:S22-S31.
29. Hahn EA, Cella D, Bode RH, Gershon R, Lai JS Item banks and their potential applications to health status assessment in diverse populations. Med Care 2006, 44:S189-S197.
30. Cella D, Gershon R, Lai JS, Choi S The future of outcomes measurement: item banking, tailored short-forms, and computerized adaptive assessment. Qual Life Res 2007, 16:133-141.
31. Nakao M, Fricchione G, Zuttermeister PC, Myers P, Barsky AJ, Benson H Effects of gender and marital status on somatic symptoms of patients attending a mind/body medicine clinic. Behav Med 2001, 26:159-168.
32. Meeuwesen L, Bensing J, van den Brink-Muinen A Communicating fatigue in general practice and the role of gender. Patient Educ Couns 2002, 48:233-242.
33. Ridsdale L, Evans A, Jerrett W, Mandalia S, Osler K, Vora H Patients with fatigue in general practice: a prospective study. BMJ 1993, 307:103-106.
34. Dochi M, Suwazono Y, Oishi M, Sakata K, Kobayashi E, Nogawa K The relation between cumulative fatigue and marital status in Japanese workers. Behav Med 2007, 33:55-65.
35. Loge JH, Ekeberg O, Kaasa S Fatigue in the general Norwegian population: normative data and associations. J Psychosom Res 1998, 45:53-65.
36. Steele L, Dobbins JG, Fukuda K, Reyes M, Randall B, Koppelman M, et al. The epidemiology of chronic fatigue in San Francisco. Am J Med 1998, 105:83S-90S.
37. Skapinakis P, Lewis G, Meltzer H Clarifying the relationship between unexplained chronic fatigue and psychiatric morbidity: results from a community survey in Great Britain. Am J Psychiatry 2000, 157:1492-1498.
38. Cella D., Riley W., Stone A.A., Rothrock N., Reeve B., Yount S., Amtmann D., Bode R., Buysse D.J., Choi S.W., Cook K.F., DeVellis R., DeWalt D.A., Fries J.F., Gershon R., Hahn E., Pilkonis P.A., Revicki D., Rose M., Weinfurt K.P., Hays R.D. Initial item banks and first wave testing of the Patient-Reported Outcomes Measurement Information System (PROMIS) network: 2005-2008. J Clin Epidemiol 2010, 63:1179-1194.
39. Rivers D Sample matching: representative sampling from Internet panels 2006, Polimetrix, Inc, Palo Alto, CA.
40. Cella D, Yount S, Rothrock N, Gershon R, Cook K, Reeve B, et al. The Patient-Reported Outcomes Measurement Information System (PROMIS) Progress of an NIH roadmap cooperative group during its first two years. Med Care 2007, 45:S3-S11.
41. Lai JS, Cella D, Choi S, Junghaenel DU, Christodoulou C, Gershon R, Stone AA. Development of the PROMIS fatigue item bank, computerized adaptive testing, and short forms. accepted for publication in Archive in Physical Medicine and Rehabilitation.
42. Lai JS, Crane PK, Cella D Factor analysis techniques for assessing sufficient unidimensionality of cancer related fatigue. Qual Life Res 2006, 15:1179-1190.
43. Lai JS, Butt Z, Wagner L, Sweet JJ, Beaumont JL, Vardy J, et al. Evaluating the dimensionality of perceived cognitive function. J Pain Symptom Manage 2009, 37:982-995.
44. Cook KF, Kallen MA, Amtmann D Having a fit: impact of number of items and distribution of data on traditional criteria for assessing IRT's unidimensionality assumption. Qual Life Res 2009, 18:447-460.
45. Bruera E, Driver L, Barnes EA, Willey J, Shen L, Palmer JL, et al. Patient-controlled methylphenidate for the management of fatigue in patients with advanced cancer: a preliminary report. J Clin Oncol 2003, 21:4439-4443.
46. Fallowfield L, Gagnon D, Zagari M, Cella D, Bresnahan B, Littlewood TJ, et al. Multivariate regression analyses of data from a randomised, double-blind, placebo-controlled study confirm quality of life benefit of epoetin alfa in patients receiving non-platinum chemotherapy. Br J Cancer 2002, 87:1341-1353.
47. Vadhan-Raj S, Mirtsching B, Charu V, Terry D, Rossi G, Tomita D, et al. Assessment of hematologic effects and fatigue in cancer patients with chemotherapy-induced anemia given darbepoetin alfa every two weeks. J Support Oncol 2003, 1:131-138.
48. Ware JE, Kosinski M, Keller SK SF-36® physical and mental health summary scales: a user's manual 1994, The Health Institute, Boston, MA.
49. Ware JE SF-36 Health Survey Update Available from. http://www.sf-36.org/tools/sf36.shtml#VERS2.
50. Cohen J A Power Primer. Psychol Bull 1992, 112:155-159.
51. Song S, Song S, Jason LA, Taylor RR, Torres-Harding SR, Helgerson J, et al. Fatigue severity among African Americans: gender and age interactions. J Black Psychol 2002, 28:53-65.
52. Pawlikowska T, Chalder T, Hirsch SR, Wallace P, Wright DJ, Wessely SC Population based study of fatigue and psychological distress. BMJ 1994, 308:763-766.
53. Tiesinga LJ, Dassen TW, Halfens RJ, van den Heuvel WJ Factors related to fatigue; priority of interventions to reduce or eliminate fatigue and the exploration of a multidisciplinary research model for further study of fatigue. Int J Nurs Stud 1999, 36:265-280.
54. Bensing JM, Hulsman RL, Schreurs KM Gender differences in fatigue: biopsychosocial factors relating to fatigue in men and women. Med Care 1999, 37:1078-1083.
55. Averill PM, Novy DM, Nelson DV, Berry LA Correlates of depression in chronic pain patients: a comprehensive examination. Pain 1996, 65:93-100.
56. Christian AH, Cheema AF, Smith SC, Mosca L Predictors of quality of life among women with coronary heart disease. Qual Life Res 2007, 16:363-373.
57. Manzoli L, Villari P, MP G, Boccia A Marital status and mortality in the elderly: a systematic review and meta-analysis. Social science & medicine 2007, 64:77-94.