Melissa J Shuman-Paretsky1, Janna Belser-Ehrlich1, Roee Holtzer2. 1. Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY. 2. Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY; Department of Neurology, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY. Electronic address: roee.holtzer@einstein.yu.edu.
Abstract
OBJECTIVE: To investigate the psychometric properties of the Brief Fatigue Inventory (BFI) in community-dwelling older adults. DESIGN: Cross-sectional validation study. SETTING: Community based. PARTICIPANTS: Subjects (N=302) were nondemented older adults (mean age, 76.44 y; 54% women). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: BFI total, severity, and interference summation scores. RESULTS: A principal component analysis (PCA) yielded 2 factors, fatigue severity and interference, explaining 65.94% of the variance. Both factors had good reliability, with Cronbach alpha values of .867 for fatigue interference and .818 for fatigue severity. Higher fatigue scores were associated with older age and worse physical and cognitive functions. CONCLUSIONS: Fatigue is a common and debilitating symptom in the aging population. The current study provides novel findings in validating and establishing a bidimensional factor structure for the BFI in older adults. Severity and interference were differentially related to important health outcomes; therefore, using these subscales in addition to the total BFI score is recommended with older adults. Because of its relatively short administration time and established psychometric properties, the BFI can be successfully incorporated into longitudinal studies and clinical trials.
OBJECTIVE: To investigate the psychometric properties of the Brief Fatigue Inventory (BFI) in community-dwelling older adults. DESIGN: Cross-sectional validation study. SETTING: Community based. PARTICIPANTS: Subjects (N=302) were nondemented older adults (mean age, 76.44 y; 54% women). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: BFI total, severity, and interference summation scores. RESULTS: A principal component analysis (PCA) yielded 2 factors, fatigue severity and interference, explaining 65.94% of the variance. Both factors had good reliability, with Cronbach alpha values of .867 for fatigue interference and .818 for fatigue severity. Higher fatigue scores were associated with older age and worse physical and cognitive functions. CONCLUSIONS:Fatigue is a common and debilitating symptom in the aging population. The current study provides novel findings in validating and establishing a bidimensional factor structure for the BFI in older adults. Severity and interference were differentially related to important health outcomes; therefore, using these subscales in addition to the total BFI score is recommended with older adults. Because of its relatively short administration time and established psychometric properties, the BFI can be successfully incorporated into longitudinal studies and clinical trials.
Authors: Tito R Mendoza; Adriano V Laudico; Xin Shelley Wang; Hong Guo; Maria Lourdes Matsuda; Victor D Yosuico; Edilberto P Fragante; Charles S Cleeland Journal: Oncology Date: 2010-11-22 Impact factor: 2.935
Authors: Sari Stenholm; Erkki Kronholm; Päivi Sainio; Katja Borodulin; Pertti Era; Mikael Fogelholm; Timo Partonen; Tarja Porkka-Heiskanen; Seppo Koskinen Journal: J Gerontol A Biol Sci Med Sci Date: 2010-02-16 Impact factor: 6.053
Authors: Sonja Vestergaard; Susan G Nayfield; Kushang V Patel; Basil Eldadah; Matteo Cesari; Luigi Ferrucci; Graziano Ceresini; Jack M Guralnik Journal: J Gerontol A Biol Sci Med Sci Date: 2009-01-27 Impact factor: 6.053
Authors: Roee Holtzer; Jennifer Yuan; Joe Verghese; Jeannette R Mahoney; Meltem Izzetoglu; Cuiling Wang Journal: J Gerontol A Biol Sci Med Sci Date: 2017-03-01 Impact factor: 6.053
Authors: Kah Poh Loh; Chandrika Sanapala; Michelle Janelsins; Heidi D Klepin; Rebecca Schnall; Eva Culakova; Michael B Sohn; Paula Vertino; Martha Susiarjo; Marielle Jensen-Battaglia; Michael W Becker; Jane Liesveld; Jason H Mendler; Eric Huselton; Po-Ju Lin; Karen Mustian Journal: J Geriatr Oncol Date: 2021-12-21 Impact factor: 3.929
Authors: Mathew William Hill; Edyah-Ariella Hosseini; Abbie McLellan; Michael James Price; Stephen Ronald Lord; Anthony David Kay Journal: Front Physiol Date: 2020-10-21 Impact factor: 4.566