Background. Multiple sclerosis (MS) is a degenerative disease affecting the central nervous system. Symptoms include fatigue, worsening mobility, and cognitive impairment. Unemployment is common in...Show moreBackground. Multiple sclerosis (MS) is a degenerative disease affecting the central nervous system. Symptoms include fatigue, worsening mobility, and cognitive impairment. Unemployment is common in the MS-community. Within 10 years of disease onset 50-80% of MS-patients will be unemployed. Absenteeism often precedes unemployment. Work absenteeism has been associated with several physical and psychological factors in MS, such as fatigue, and use of maladaptive coping styles. Our aim is to investigate both fatigue and maladaptive coping as possible predictors for work absenteeism. To our knowledge coping and fatigue have not been investigated together with respect to work absenteeism in MS-patients. It is important to study absenteeism to prevent future unemployment as much as possible. Method. We investigated 269 employed MS-patients (age 21-63, Mage = 42.09, SDage = 9.39, 77.3% female) of which 47 had been absent within the last seven days. Participants completed questionnaires regarding fatigue (checklist for individual strength), coping style (coping inventory for stressful situations), and work absenteeism. We conducted three logistic regression analyses in which absenteeism was the dependent variable. Fatigue was investigated with subjective fatigue, motivation, concentration, and physical activity as predictors. Coping style was investigated with task-oriented, emotion-oriented, and avoidant coping as predictors. The last analysis investigated both fatigue and coping as predictors for absenteeism with all previous predictors mentioned. Results. A model in which multidimensional aspects of fatigue predict absenteeism was significant (X2(4) = 30.46, p < .001), fatigue, concentration, and physical activity were significant predictors of absenteeism (Bfatigue = 0.04, p = .036; Bconcentration = 0.07, p = .011, Bphysical_activity = -0.03, p = .032 respectively).Show less
Background. Multiple sclerosis (MS) is a degenerative disease affecting the central nervous system. Symptoms include fatigue, worsening mobility, and cognitive impairment. Unemployment is common in...Show moreBackground. Multiple sclerosis (MS) is a degenerative disease affecting the central nervous system. Symptoms include fatigue, worsening mobility, and cognitive impairment. Unemployment is common in the MS-community. Within 10 years of disease onset 50-80% of MS-patients will be unemployed. Absenteeism often precedes unemployment. Work absenteeism has been associated with several physical and psychological factors in MS, such as fatigue, and use of maladaptive coping styles. Our aim is to investigate both fatigue and maladaptive coping as possible predictors for work absenteeism. To our knowledge coping and fatigue have not been investigated together with respect to work absenteeism in MS-patients. It is important to study absenteeism to prevent future unemployment as much as possible. Method. We investigated 269 employed MS-patients (age 21-63, Mage = 42.09, SDage = 9.39, 77.3% female) of which 47 had been absent within the last seven days. Participants completed questionnaires regarding fatigue (checklist for individual strength), coping style (coping inventory for stressful situations), and work absenteeism. We conducted three logistic regression analyses in which absenteeism was the dependent variable. Fatigue was investigated with subjective fatigue, motivation, concentration, and physical activity as predictors. Coping style was investigated with task-oriented, emotion-oriented, and avoidant coping as predictors. The last analysis investigated both fatigue and coping as predictors for absenteeism with all previous predictors mentioned. Results. A model in which multidimensional aspects of fatigue predict absenteeism was significant (X 2 (4) = 30.46, p < .001), fatigue, concentration, and physical activity were significant predictors of absenteeism (Bfatigue = 0.04, p = .036; Bconcentration = 0.07, p = .011, Bphysical_activity = -0.03, p = .032 respectively). A model in which coping style predicts work absenteeism was non-significant (X 2 (3) = 5.88, p = .118). The model in which both fatigue and coping were investigated was significant (X 2 (7) = 30.80, p < .001), however this model did not yield any additional information. Conclusion. Fatigue, concentration, and physical activity predict work absenteeism for MS-patients. Possible interventions might be CBT or motivational interviewing, both these interventions can be used to minimize work absenteeism.Show less
