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OP0265-HPR (2020)
FACTORS ASSOCIATED WITH MEETING WORK DEMANDS FOR INDIVIDUALS WITH RHEUMATIC DISEASES
D. Connolly1, C. Fitzpatrick1, L. O’toole1, F. O’shea2, M. Doran2
1Trinity College Dublin, Occupational Therapy, Dublin, Ireland
2St. James’ Hospital, Rheumatology, Dublin, Ireland

Background: Almost 65% of individuals with rheumatic diseases have severe fatigue with the majority of these reporting difficulties in work leading to absenteeism and early retirement. However, there is a lack of research investigating how different types of fatigue impact on work ability.


Objectives: To identify the prevalence of different types of fatigue and explore the association between different types of fatigue and various demands involved in work


Methods: A cross-sectional study was carried out with 234 individuals with rheumatic diseases currently in employment. Study measures examined demographics, different types of fatigue (general, physical reduced activity, reduced motivation and mental), ability to meet work demands, disease activity and quality of life.


Results: The majority of participants were female (70%), had rheumatoid arthritis (42.7%), were between 41-50 years (30.3%) and worked full-time (70%). One hundred and twenty-eight participants (55%) had severe fatigue. Physical fatigue was the most prevalent category of fatigue ( Table 1 ). Participants reported managing 50% of their work demands with physical demands being the most challenging ( Table 1 ). All types of fatigue were significantly associated with the total WRF score ( Table 2 ). Mental fatigue had the strongest association with the total WRF score (r=0.53, p<0.001). On examining the impact of different types of fatigue on meeting work demands, mental fatigue was the most significant predictor of difficulty meeting work demands (β =1.6, SE=0.37, p<0.001)

MFI and WRF total and category scores

WRF n=212 Total mean (SD ) Work Scheduling Demands mean (SD ) Output demands mean (SD ) Physical Demands mean (SD ) Mental Demands mean (SD ) Social Demands mean (SD )
50.3% (19.0) 44.6% (25.8) 52.9% (22.1) 43.3% (27.9) 53.4% (22.5) 62.4% (17.7)
MFI n=220 Total mean (SD ) Physical fatigue mean (SD ) Reduced activity mean (SD ) Reduced motivation mean (SD ) Mental fatigue mean (SD )
13.4 (2.8) 12.5 (4.3) 10.1 (4.2) 10.2 (3.5) 10.3 (4.2)

Correlations for WRF and MFI fatigue categories

MFI Category Correlations with total WRF p-values
General fatigue .53 <0.001
Mental fatigue .57 <0.001
Physical fatigue .48 <0.001
Reduced motivation .48 <0.001
Reduced activity levels .41 <0.001

Conclusion: Fatigue interferes with many aspects of work performance. However, this study identifies that mental fatigue is the greatest predictor of difficulty in managing work. Self-management interventions focusing on mental fatigue and work ability are required for individuals with rheumatic diseases to manage the demands of their work.


Disclosure of Interests: None declared


Citation: Ann Rheum Dis, volume 79, supplement 1, year 2020, page 166
Session: Disease consequences (Oral Presentations)