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
The analysis of the trends for industrial concentration, GDP growth per capita, and income inequality – based on data from IPUMS International, Maddison Project, Clio-Infra, and World Bank Open...Show moreThe analysis of the trends for industrial concentration, GDP growth per capita, and income inequality – based on data from IPUMS International, Maddison Project, Clio-Infra, and World Bank Open Data – in the context of the US, Canada and other selected countries from Europe, South America, and East Asia, has led to the following results: a) after a comparison between the Krugman Index values and the GINI coefficients for the historical series of US, UK, and Spain, I argue in the first place, that the 1970-2000 series for the group of East-Asian countries subject to the research is coherent with the presence of “displaced” Kuznets’ waves – where the latter is a theoretical tool (introduced by Milanovic) that revises the original Kuznets’ hypothesis by shifting the focus from the long-run to more limited period of times. Secondly, for the group of South American countries analysed, I confirm the results of Deinenger and Squire on the unidirectionality of the trends for economic growth and income inequality between the 1960s and the 2000s. Namely, that both trends are raising, instead of diverging at a certain point, as it would have been expected, according to the original Kuznets’ hypothesis. Nevertheless, the inversion of the income inequality levels for Brazil, and the extreme oscillatory nature of the trends for Argentina, seem to prospect a potential displacement of a Kuznets’s wave for the two countries in a subsequent period. Limitations in the available datasets for the years after 2000s hindered, though, a consistent verification of this hypothesis. b) I argue on the one hand, that, for the Western countries analysed, the series for industrial concentration and income inequality between 1860 and 1970 are fully compatible with a Kuznets’ wave. On the other, that the series after the 1970s are instead in contrast with Milanovic’s thesis of a second Kuznets’ wave starting during these years. Nevertheless, the value for industrial concentration that I found for the US in 2015 can have some relationship with the rising income inequality levels analysed by Milanovic. Further research should be 75 devoted to the analysis of this issue when the census datasets for the 2020s decade will be made available. c) I argue that a further theoretical insight, derived from my analysis, can be considered as a corollary of Krugman’s theory on industrial specialisation dynamics. Namely, that being equal the transportation costs and the level of technology/productivity, lighter economic shocks trigger increasing levels of industrial concentration, whereas highly disruptive shocks for the industrial tissue, such as wars and structural economic crises, produce instead decreasing levels of industrial concentration. Further research is necessary, though, in order to corroborate this theory.Show less
