TY - JOUR
T1 - Demographic correlates of fatigue in the US general population
T2 - Results from the patient-reported outcomes measurement information system (PROMIS) initiative
AU - Junghaenel, Doerte U.
AU - Christodoulou, Christopher
AU - Lai, Jin Shei
AU - Stone, Arthur A.
N1 - Funding Information:
The Patient-Reported Outcomes Measurement Information System (PROMIS) is a National Institutes of Health (NIH) Roadmap initiative to develop a computerized system measuring patient-reported outcomes in respondents with a wide range of chronic diseases and demographic characteristics. PROMIS was funded by cooperative agreements to a Statistical Coordinating Center ( Evanston Northwestern Healthcare , PI: David Cella, PhD, U01AR52177 ) and six Primary Research Sites ( Duke University , PI: Kevin Weinfurt, PhD, U01AR52186 ; University of North Carolina , PI: Darren DeWalt, MD, MPH, U01AR52181 ; University of Pittsburgh , PI: Paul A. Pilkonis, PhD, U01AR52155 ; Stanford University , PI: James Fries, MD, U01AR52158 ; Stony Brook University , PI: Arthur Stone, PhD, U01AR52170 ; and University of Washington , PI: Dagmar Amtmann, PhD, U01AR52171 ). NIH Science Officers on this project have included Deborah Ader, Ph.D., Susan Czajkowski, PhD, Lawrence Fine, MD, DrPH, Laura Lee Johnson, PhD, Louis Quatrano, PhD, Bryce Reeve, PhD, William Riley, PhD, Susana Serrate-Sztein, MD, and James Witter, MD, PhD. This manuscript was reviewed by the PROMIS Publications Subcommittee prior to external peer review. See the web-site at www.nihpromis.org for additional information on the PROMIS cooperative group. AAS is a consultant for invivodata, inc. and a senior scientist at the Gallup Organization.
PY - 2011/9
Y1 - 2011/9
N2 - To investigate demographic correlates of fatigue in the US general population using a new instrument developed by the Patient-Reported Outcome Measurement Information System (PROMIS). First, we examined correlations between the new PROMIS instrument and the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) and the SF-36v2 Vitality subscale. Based on prior findings, we further examined several demographic correlates of fatigue: whether women would report higher levels of fatigue compared to men, and whether married people would experience lower levels of fatigue compared to unmarried people. We also explored the relationship between age, education, and fatigue. Methods: Analyses were based on fatigue ratings by 666 individuals from the general population. Fatigue was assessed with the new PROMIS instrument, the FACIT-F, and the SF-36v2 Vitality subscale. Differences in fatigue were examined with independent samples t-tests and univariate ANOVAs. Results: The three fatigue instruments were highly intercorrelated. Confirming prior reports, women reported higher levels of fatigue than men. Married participants reported significantly less fatigue than their unmarried counterparts. Univariate ANOVAs yielded a main effect for participants' age; younger participants gave significantly higher fatigue ratings. We also found a main effect for participants' education. Participants with a masters or doctoral degree had significantly lower ratings of fatigue than participants with some college education and education up to high school. Conclusion: Female gender, not being married, younger age and lower educational attainment were each associated with increased fatigue in the general population and the three fatigue instruments performed equally well in detecting the observed associations.
AB - To investigate demographic correlates of fatigue in the US general population using a new instrument developed by the Patient-Reported Outcome Measurement Information System (PROMIS). First, we examined correlations between the new PROMIS instrument and the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) and the SF-36v2 Vitality subscale. Based on prior findings, we further examined several demographic correlates of fatigue: whether women would report higher levels of fatigue compared to men, and whether married people would experience lower levels of fatigue compared to unmarried people. We also explored the relationship between age, education, and fatigue. Methods: Analyses were based on fatigue ratings by 666 individuals from the general population. Fatigue was assessed with the new PROMIS instrument, the FACIT-F, and the SF-36v2 Vitality subscale. Differences in fatigue were examined with independent samples t-tests and univariate ANOVAs. Results: The three fatigue instruments were highly intercorrelated. Confirming prior reports, women reported higher levels of fatigue than men. Married participants reported significantly less fatigue than their unmarried counterparts. Univariate ANOVAs yielded a main effect for participants' age; younger participants gave significantly higher fatigue ratings. We also found a main effect for participants' education. Participants with a masters or doctoral degree had significantly lower ratings of fatigue than participants with some college education and education up to high school. Conclusion: Female gender, not being married, younger age and lower educational attainment were each associated with increased fatigue in the general population and the three fatigue instruments performed equally well in detecting the observed associations.
KW - Demographics
KW - Fatigue
KW - PROMIS
KW - Patient-reported outcomes
KW - US population
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U2 - 10.1016/j.jpsychores.2011.04.007
DO - 10.1016/j.jpsychores.2011.04.007
M3 - Article
C2 - 21843744
AN - SCOPUS:80051703748
SN - 0022-3999
VL - 71
SP - 117
EP - 123
JO - Journal of Psychosomatic Research
JF - Journal of Psychosomatic Research
IS - 3
ER -
