Fatigue in the general Korean population: application and normative data of the Brief Fatigue Inventory.
The purpose of this study was to provide normative data for the Brief Fatigue Inventory (BFI) in the general Korean population so that the results for the general population could be compared with those for patients. We constructed a questionnaire that included the BFI and items on demographic characteristics and conducted a population-based, cross-sectional survey in 1,000 individuals. We used multivariate logistic analysis to investigate factors associated with "usual" and "worst" fatigue. The internal consistency was very high (Cronbach's alpha=0.96) and construct validity was confirmed by factor analysis. All patients had a mean+/-SD BFI score of 4.33+/-2.48 for "worst" fatigue and of 4.07+/-2.27 for "usual" fatigue, and the global BFI score was 3.44+/-2.05. The prevalence of each moderate-to-severe fatigue type was similar in severity of fatigue, with 55.2% in "usual" fatigue, and 57.3% in "worst" fatigue. Among the types of fatigue, the prevalence of severe fatigue was lowest for "usual" fatigue (16.5%). In multivariate analyses, the group aged 40-59 years had greater levels of "usual" and "worst" fatigue compared with the group aged 20-29 years. Poor general health and the presence of comorbidities were also associated with increased "usual" and "worst" fatigue. Regular physical activity was associated with reduced levels of "worst" fatigue. The normal values of BFI with proper psychometric properties may help us to better understand the correlates of fatigue in the general population and patients. Our findings indicate that comorbidities should be considered when comparing fatigue data from the general population with data from patients.
Yun
Young Ho
YH
Division of Cancer Control, National Cancer Control Research Institute, National Cancer Center, Goyang, Gyeonggi, Korea. lawyun08@ncc.re.kr
Lee
Myung Kyung
MK
Chun
Han Na
HN
Lee
Young Mi
YM
Park
Sang Min
SM
Mendoza
Tito R
TR
Wang
Xin Shelley
XS
Cleeland
Charles S
CS
D000328:Adult; D000368:Aged; D005221:Fatigue / Q000175:diagnosis* / Q000453:epidemiology*; D005260:Female; D006801:Humans; D007723:Korea / Q000453:epidemiology; D008297:Male; D008875:Middle Aged; D010555:Personality Inventory; D015995:Prevalence; D011594:Psychometrics / Q000379:methods*; D018570:Risk Assessment / Q000379:methods*; D012307:Risk Factors; D012720:Severity of Illness Index; D011795:Surveys and Questionnaires