Henrietta O Fawole1,2, Jody L Riskowski1, Andrea Dell'Isola3, Martijn P Steultjens1, Michael C Nevitt4, James C Torner5, Cora E Lewis6, David T Felson7, Sebastien F M Chastin1,8. 1. Centre for Living, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK. 2. Department of Physiotherapy, College of Medical Sciences, University of Benin, Edo State, Nigeria. 3. Department of Orthopaedics, Faculty of Medicine, Lund University, Lund, Sweden. 4. University of San Francisco, San Francisco, CA, USA. 5. University of Iowa, Iowa City, IA, USA. 6. University of Alabama, Birmingham, AL, USA. 7. Boston University School of Medicine, Boston, MA, USA. 8. Department of Movement and Sports Science, Ghent University, Ghent, Belgium.
Abstract
AIM: The aim of the study was to identify sociodemographic, disease-related, physical and mental health-related determinants of fatigue at 2-year follow-up in individuals with symptomatic knee osteoarthritis (OA). METHODS: A longitudinal analysis of participants with symptomatic knee OA from the Multicenter Osteoarthritis Study (MOST) was conducted to identify predictors of fatigue at 2-year follow-up. Participants self-reported fatigue at baseline for the first time in the MOST cohort and at follow-up using a 0-10 visual analog scale. At baseline, questionnaires on sociodemographics, disease-related symptoms, physical and mental health factors were completed. Data were analyzed using linear regressions with a backwards elimination approach. RESULTS: Of the 2330 individuals in the MOST cohort at baseline, 576 had symptomatic knee OA and of these, 449 with complete fatigue values at baseline and follow-up were included in this analysis. Minimally important fatigue change (ie, worsening [≥1.13], no change [<0.82 or <1.13] and improvement [≥-0.82]) from baseline to follow-up were unequal within the population (34.5%, 26.9%, 38.5%; χ2 [2, N = 449] = 9.32, P = .009). The multiple linear regression showed that baseline fatigue (unstandardized coefficient [Β] = 0.435; 95% confidence interval [CI] 0.348-0.523, P < .001), slow gait speed (Β = -1.124; 95% CI -1.962 to -0.285, P = .009), depressive symptoms (Β = 0.049; 95% CI 0.024-0.075, P < .001) and higher numbers of comorbidities (Β = 0.242; 95% CI 0.045-0.439, P = .016) were significant predictors of greater fatigue at follow-up. CONCLUSION: Fatigue is strongly associated with physical- and mental-related health factors. Individualized treatments that include combined psychological and physical function rehabilitation might be modalities for fatigue management.
AIM: The aim of the study was to identify sociodemographic, disease-related, physical and mental health-related determinants of fatigue at 2-year follow-up in individuals with symptomatic knee osteoarthritis (OA). METHODS: A longitudinal analysis of participants with symptomatic knee OA from the Multicenter Osteoarthritis Study (MOST) was conducted to identify predictors of fatigue at 2-year follow-up. Participants self-reported fatigue at baseline for the first time in the MOST cohort and at follow-up using a 0-10 visual analog scale. At baseline, questionnaires on sociodemographics, disease-related symptoms, physical and mental health factors were completed. Data were analyzed using linear regressions with a backwards elimination approach. RESULTS: Of the 2330 individuals in the MOST cohort at baseline, 576 had symptomatic knee OA and of these, 449 with complete fatigue values at baseline and follow-up were included in this analysis. Minimally important fatigue change (ie, worsening [≥1.13], no change [<0.82 or <1.13] and improvement [≥-0.82]) from baseline to follow-up were unequal within the population (34.5%, 26.9%, 38.5%; χ2 [2, N = 449] = 9.32, P = .009). The multiple linear regression showed that baseline fatigue (unstandardized coefficient [Β] = 0.435; 95% confidence interval [CI] 0.348-0.523, P < .001), slow gait speed (Β = -1.124; 95% CI -1.962 to -0.285, P = .009), depressive symptoms (Β = 0.049; 95% CI 0.024-0.075, P < .001) and higher numbers of comorbidities (Β = 0.242; 95% CI 0.045-0.439, P = .016) were significant predictors of greater fatigue at follow-up. CONCLUSION:Fatigue is strongly associated with physical- and mental-related health factors. Individualized treatments that include combined psychological and physical function rehabilitation might be modalities for fatigue management.
Authors: Gillian A Hawker; Monique A M Gignac; Elizabeth Badley; Aileen M Davis; Melissa R French; Ye Li; Anthony V Perruccio; J Denise Power; Joanna Sale; Wendy Lou Journal: Arthritis Care Res (Hoboken) Date: 2010-07-26 Impact factor: 4.794
Authors: H O Fawole; D T Felson; L A Frey-Law; S R Jafarzadeh; A Dell'Isola; M P Steultjens; M C Nevitt; C E Lewis; J L Riskowski; Sfm Chastin Journal: Scand J Rheumatol Date: 2021-03-20 Impact factor: 3.057
Authors: Henrietta O Fawole; Opeyemi A Idowu; Ukachukwu O Abaraogu; Andrea Dell'Isola; Jody L Riskowski; Kayode I Oke; Ade F Adeniyi; Chidozie E Mbada; Martijn P Steultjens; Sebastien F M Chastin Journal: Rheumatol Adv Pract Date: 2021-02-26