OBJECTIVE: To examine the associations between function, quality of life, personality, cognitive and psychological outcomes with fatigue in patients with MS. METHODS: One hundred and eight patients (54% women) with definite MS participated. MS-related fatigue was assessed with the Fatigue Impact Scale (FIS). Demographic and clinical data (weight, height, medication and history of pain), specific disease outcomes (Functional Assessment of Multiple Sclerosis/FAMS), general disease outcomes (Beck Depression Inventory/BDI-II, and Short-Form Health Survey 36/SF-36) and personality (NEO Five-Factor Inventory/NEOFFI) were assessed. Correlation and regression analyses were performed to determine associations between variables. RESULTS: A significant positive correlation existed between the FIS and EDSS (r=0.190; P<0.05). Significant negative correlations between the FIS with specific disease (FAMS mobility: r=-0.333, P<0.01; FAMS symptoms: r=-0.443, P<0.01; FAMS emotional well-being: r=-0.412, P<0.01; FAMS general contentment: r=-0.325, P<. 01; and, FAMS thinking/fatigue: r=-0.706, P<0.01); general disease (all domains SF36: -0.508<r<-0.302; P<0.01); and personality (NEOFFI neuroticism: r=-0.39, P<0.01; agreeableness: r=-0.206, P<0.05; conscientiousness: r=-0.279, P<0.01) were also observed. Stepwise regression analyses revealed that FAMS thinking/fatigue, physical function (SF-36) and FAMS emotional well-being explained 62.5% of the variance in fatigue (r2=0.652; r2 adjusted=0.625; F=23.774; P<0.001). CONCLUSIONS: This study indicates that MS-related fatigue shows an impact on physical, cognitive and emotional aspects in this population.
OBJECTIVE: To examine the associations between function, quality of life, personality, cognitive and psychological outcomes with fatigue in patients with MS. METHODS: One hundred and eight patients (54% women) with definite MS participated. MS-related fatigue was assessed with the Fatigue Impact Scale (FIS). Demographic and clinical data (weight, height, medication and history of pain), specific disease outcomes (Functional Assessment of Multiple Sclerosis/FAMS), general disease outcomes (Beck Depression Inventory/BDI-II, and Short-Form Health Survey 36/SF-36) and personality (NEO Five-Factor Inventory/NEOFFI) were assessed. Correlation and regression analyses were performed to determine associations between variables. RESULTS: A significant positive correlation existed between the FIS and EDSS (r=0.190; P<0.05). Significant negative correlations between the FIS with specific disease (FAMS mobility: r=-0.333, P<0.01; FAMS symptoms: r=-0.443, P<0.01; FAMS emotional well-being: r=-0.412, P<0.01; FAMS general contentment: r=-0.325, P<. 01; and, FAMS thinking/fatigue: r=-0.706, P<0.01); general disease (all domains SF36: -0.508<r<-0.302; P<0.01); and personality (NEOFFI neuroticism: r=-0.39, P<0.01; agreeableness: r=-0.206, P<0.05; conscientiousness: r=-0.279, P<0.01) were also observed. Stepwise regression analyses revealed that FAMS thinking/fatigue, physical function (SF-36) and FAMS emotional well-being explained 62.5% of the variance in fatigue (r2=0.652; r2 adjusted=0.625; F=23.774; P<0.001). CONCLUSIONS: This study indicates that MS-related fatigue shows an impact on physical, cognitive and emotional aspects in this population.
Authors: Marianna Vitkova; Jaroslav Rosenberger; Zuzana Gdovinova; Jarmila Szilasiova; Pavol Mikula; Johan W Groothoff; Sijmen A Reijneveld; Jitse P van Dijk Journal: Brain Behav Date: 2016-09-20 Impact factor: 2.708
Authors: V Deary; S P Hagenaars; S E Harris; W D Hill; G Davies; D C M Liewald; A M McIntosh; C R Gale; I J Deary Journal: Mol Psychiatry Date: 2017-02-14 Impact factor: 15.992