Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
Quality of Life Research
Erschienen in: Quality of Life Research 4/2014

01.05.2014

Measuring daily fatigue using a brief scale adapted from the Patient-Reported Outcomes Measurement Information System (PROMIS®)

verfasst von: Christopher Christodoulou, Stefan Schneider, Doerte U. Junghaenel, Joan E. Broderick, Arthur A. Stone

Erschienen in: Quality of Life Research | Ausgabe 4/2014

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Purpose

Daily assessments can provide insight into the temporal characteristics of fatigue. They can demonstrate consistency or reveal variability, as when fatigue changes with the underlying medical condition, improves with therapy, or worsens as a medication side effect. We adapted a fatigue measure from the Patient-Reported Outcomes Measurement Information System (PROMIS®) for daily assessment and examined its psychometric properties in a month-long prospective study.

Methods

Three groups of 100 participants each were drawn from two fatigue-related clinical disorders [osteoarthritis (OA) and premenstrual syndrome/premenstrual dysphoric disorder (PMS/PMDD)], and a general population sample (GP). They completed brief daily web-based fatigue measures at home on 28 consecutive evenings.

Results

Compliance was high for all samples, based on the percent of participants who remained in the study (98 % for GP and OA, 95 % for PMS/PMDD). The new scale performed consistently across the groups, sensitively measuring fatigue with high reliability (>0.90) especially in the average to high fatigue level range. Supporting known-groups validity, fatigue scores were elevated in the clinical groups as compared to the GP. The scale was sensitive to change, with the PMS/PMDD sample showing a linear increase in fatigue prior to menses onset, and a sharp drop off afterward.

Conclusions

The scale was psychometrically sound across diverse clinical and general population samples, though less reliable when assessing lower levels of fatigue.
Vorheriger Artikel Psychometric properties of the PROMIS® pediatric scales: precision, stability, and comparison of different scoring and administration options
Nächster Artikel Development and evaluation of the PI-G: a three-scale measure based on the German translation of the PROMIS® pain interference item bank

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Literatur
1.
Ranjith, G. (2005). Epidemiology of chronic fatigue syndrome. Occupational Medicine, 55(1), 13–19.PubMedCrossRef
2.
Ricci, J. A., Chee, E., Lorandeau, A. L., & Berger, J. (2007). Fatigue in the U.S. workforce: prevalence and implications for lost productive work time. Journal of Occupational and Environmental Medicine, 49(1), 1–10.PubMedCrossRef
3.
DeLuca, J. (Ed.). (2005). Fatigue as a window to the brain. Cambridge, MA: MIT Press.
4.
Wessely, S., Hotopf, M., & Sharpe, D. (1998). Chronic fatigue and its syndromes. New York: Oxford University Press.
5.
Christodoulou, C. (2012). Approaches to the measurement of fatigue. In G. Matthews, P. A. Desmond, C. Neubauer, & P. A. Hancock (Eds.), The handbook of operator fatigue. Burlington, VT: Ashgate Publishing.
6.
Christodoulou, C. (2005). The assessment and measurement of fatigue. In J. DeLuca (Ed.), Fatigue as a window to the brain (pp. 19–35). New York: MIT Press.
7.
Chalder, T., Berelowitz, G., Pawlikowska, T., Watts, L., Wessely, S., Wright, D., et al. (1993). Development of a fatigue scale. Journal of Psychosomatic Research, 37(2), 147–153.PubMedCrossRef
8.
Lai, J. S., Cella, D., Choi, S., Junghaenel, D. U., Christodoulou, C., Gershon, R., et al. (2011). How item banks and their application can influence measurement practice in rehabilitation medicine: A PROMIS fatigue item bank example. Archives of Physical Medicine and Rehabilitation, 92(10 Suppl), S20–S27.PubMedCentralPubMedCrossRef
9.
Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., et al. (2010). The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005–2008. Journal of Clinical Epidemiology, 63(11), 1179–1194.PubMedCentralPubMedCrossRef
10.
Broderick, J. E., Schneider, S., Schwartz, J. E., & Stone, A. A. (2010). Interference with activities due to pain and fatigue: Accuracy of ratings across different reporting periods. Quality of Life Research, 19(8), 1163–1170.
11.
Broderick, J. E., Schwartz, J. E., Vikingstad, G., Pribbernow, M., Grossman, S., & Stone, A. A. (2008). The accuracy of pain and fatigue items across different reporting periods. Pain, 139(1), 146–157.PubMedCentralPubMedCrossRef
12.
Friedberg, F., & Sohl, S. J. (2008). Memory for fatigue in chronic fatigue syndrome: the relation between weekly recall and momentary ratings. International Society of Behavioral Medicine, 15(1), 29–33.CrossRef
13.
Schneider, S., Choi, S. W., Junghaenel, D. U., Schwartz, J. E., & Stone, A. A. (2013). Psychometric characteristics of daily diaries for the Patient-Reported Outcomes Measurement Information System (PROMIS(R)): a preliminary investigation. Quality of Life Research, 22(7), 1859–1869.
14.
Schneider, S., Junghaenel, D. U., Keefe, F. J., Schwartz, J. E., Stone, A. A., & Broderick, J. E. (2012). Individual differences in the day-to-day variability of pain, fatigue, and well-being in patients with rheumatic disease: associations with psychological variables. Pain, 153(4), 813–822.PubMedCentralPubMedCrossRef
15.
Watson, T., & Mock, V. (2004). Exercise as an intervention for cancer-related fatigue. Physical Therapy, 84(8), 736–743.PubMed
16.
Wolfe, F., Hawley, D. J., & Wilson, K. (1996). The prevalence and meaning of fatigue in rheumatic disease. Journal of Rheumatology, 23(8), 1407–1417.PubMed
17.
Zautra, A. J., Fasman, R., Parish, B. P., & Davis, M. C. (2007). Daily fatigue in women with osteoarthritis, rheumatoid arthritis, and fibromyalgia. Pain, 128(1–2), 128–135.PubMedCrossRef
18.
Power, J. D., Badley, E. M., French, M. R., Wall, A. J., & Hawker, G. A. (2008). Fatigue in osteoarthritis: a qualitative study. BMC Musculoskeletal Disorders, 9, 63. PubMedCentralPubMedCrossRef
19.
Mortola, J. F. (1992). Issues in the diagnosis and research of premenstrual syndrome. Clinical Obstetrics and Gynecology, 35(3), 587–598.PubMedCrossRef
20.
Dickerson, L. M., Mazyck, P. J., & Hunter, M. H. (2003). Premenstrual syndrome. American Family Physician, 67(8), 1743–1752.PubMed
21.
Tschudin, S., Bertea, P. C., & Zemp, E. (2010). Prevalence and predictors of premenstrual syndrome and premenstrual dysphoric disorder in a population-based sample. Archives of Women’s Mental Health, 13(6), 485–494.PubMedCrossRef
22.
23.
Bolen, J., Schieb, L., Hootman, J. M., Helmick, C. G., Theis, K., Murphy, L. B., et al. (2010). Differences in the prevalence and severity of arthritis among racial/ethnic groups in the United States, National Health Interview Survey, 2002, 2003, and 2006. Preventing Chronic Disease, 7(3), A64.PubMedCentralPubMed
24.
Christodoulou, C., Junghaenel, D. U., DeWalt, D. A., Rothrock, N., & Stone, A. A. (2008). Cognitive interviewing in the evaluation of fatigue items: Results from the Patient-Reported Outcomes Measurement Information System (PROMIS). Quality of Life Research, 17(10), 1239–1246.PubMedCentralPubMedCrossRef
25.
Riley, W. T., Rothrock, N., Bruce, B., Christodoulou, C., Cook, K., Hahn, E. A., et al. (2010). Patient-Reported Outcomes Measurement Information System (PROMIS) domain names and definitions revisions: further evaluation of content validity in IRT-derived item banks. Quality of Life Research, 19(9), 1311–1321. PubMedCentralPubMedCrossRef
26.
DeWalt, D. A., Rothrock, N., Yount, S., & Stone, A. A. (2007). Evaluation of item candidates: the PROMIS qualitative item review. Medical Care, 45(5 Suppl 1), S12–S21.PubMedCentralPubMedCrossRef
27.
Reeve, B. B., Hays, R. D., Bjorner, J. B., Cook, K. F., Crane, P. K., Teresi, J. A., et al. (2007). Psychometric evaluation and calibration of health-related quality of life item banks: plans for the Patient-Reported Outcomes Measurement Information System (PROMIS). Medical Care, 45(5 Suppl 1), S22–S31.PubMedCrossRef
28.
Junghaenel, D. U., Christodoulou, C., Lai, J. S., & Stone, A. A. (2011). Demographic correlates of fatigue in the US general population: results from the Patient-Reported Outcomes Measurement Information System (PROMIS) initiative. Journal of Psychosomatic Research, 71(3), 117–123.PubMedCentralPubMedCrossRef
29.
Rothrock, N. E., Hays, R. D., Spritzer, K., Yount, S. E., Riley, W., & Cella, D. (2010). 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). Journal of Clinical Epidemiology, 63(11), 1195–1204.PubMedCentralPubMedCrossRef
30.
Cook, K. F., Bamer, A. M., Amtmann, D., Molton, I. R., & Jensen, M. P. (2012). Six patient-reported outcome measurement information system short form measures have negligible age- or diagnosis-related differential item functioning in individuals with disabilities. Archives of Physical Medicine and Rehabilitation, 93(7), 1289–1291.
31.
Samejima, F. (1970). Estimation of latent ability using a response pattern of graded scores. Psychometrika, 35, 139.
32.
Reeve, B. B., Hays, R. D., Bjorner, J. B., Cook, K. F., Crane, P. K., Teresi, J. A., et al. (2007). Psychometric evaluation and calibration of health-related quality of life item banks—Plans for the Patient-Reported Outcomes Measurement Information System (PROMIS). Medical Care, 45(5), S22–S31.PubMedCrossRef
33.
Muthén, L. K., & Muthén, B. O. (2010). Mplus user’s guide (6th ed.). Los Angeles, CA: Muthén & Muthén.
34.
Crane, P. K., Gibbons, L. E., Ocepek-Welikson, K., Cook, K., Cella, D., Narasimhalu, K., et al. (2007). A comparison of three sets of criteria for determining the presence of differential item functioning using ordinal logistic regression. Quality of Life Research, 16, 69–84.PubMedCrossRef
35.
Choi, S. W., Gibbons, L. E., & Crane, P. K. (2011). lordif: An R package for detecting differential item functioning using iterative hybrid ordinal logistic regression/item response theory and Monte Carlo simulations. Journal of Statistical Software, 39(8), 1–30.PubMedCentralPubMed
36.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates.
37.
Baker, F. B. (2001). The basics of item response theory. College Park: ERIC Clearinghouse on Assessment and Evaluation.
38.
Singer, J. D., & Willett, J. B. (2003). Applied longitudinal data analysis: Modeling change and event occurrence. New York: Oxford University Press.CrossRef
39.
Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: the PANAS scales. Journal of Personality and Social Psychology, 54(6), 1063–1070.PubMedCrossRef
40.
Piasecki, T. M., Hufford, M. R., Solhan, M., & Trull, T. J. (2007). Assessing clients in their natural environments with electronic diaries: rationale, benefits, limitations, and barriers. Psychological Assessment, 19(1), 25–43.PubMedCrossRef
41.
Gilbert, D. G., McClernon, F. J., Rabinovich, N. E., Plath, L. C., Jensen, R. A., & Meliska, C. J. (1998). Effects of smoking abstinence on mood and craving in men: Influences of negative-affect-related personality traits, habitual nicotine intake and repeated measurements. Personality and Individual Differences, 25(3), 399–423.CrossRef
42.
Sharpe, J. P., & Gilbert, D. G. (1998). Effects of repeated administration of the Beck Depression Inventory and other measures of negative mood states. Personality and Individual Differences, 24(4), 457–463.CrossRef
43.
Shiffman, S., Stone, A. A., & Hufford, M. R. (2008). Ecological momentary assessment. Annual Review of Clinical Psychology, 4, 1–32.PubMedCrossRef
44.
Harris, K. M., Schonlau, M., & Lurie, N. (2009). Surveying a nationally representative internet-based panel to obtain timely estimates of influenza vaccination rates. Vaccine, 27(6), 815–818.PubMedCrossRef
Metadaten
Titel
Measuring daily fatigue using a brief scale adapted from the Patient-Reported Outcomes Measurement Information System (PROMIS®)
verfasst von
Christopher Christodoulou
Stefan Schneider
Doerte U. Junghaenel
Joan E. Broderick
Arthur A. Stone
Publikationsdatum
01.05.2014
Verlag
Springer International Publishing
Erschienen in
Quality of Life Research / Ausgabe 4/2014
Print ISSN: 0962-9343
Elektronische ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-013-0553-z

Weitere Artikel der Ausgabe 4/2014

Quality of Life Research 4/2014 Zur Ausgabe

OriginalPaper

Development of the PROMIS® pediatric global health (PGH-7) measure

OriginalPaper

Psychometric properties of the PROMIS® pediatric scales: precision, stability, and comparison of different scoring and administration options

Commentary

Let’s engage the patient within us: a personal perspective on patient engagement

OriginalPaper

Comparison of face-to-face interview and telephone interview administration of COPD assessment test: a randomized study

OriginalPaper

Validation of a Quality of Life Questionnaire for Bronchiectasis: psychometric analyses of the Spanish QOL-B-V3.0

OriginalPaper

The impact of weight loss on health-related quality-of-life: implications for cost-effectiveness analyses

Premium Partner

    Bildnachweise