Fatigue in the general population- associations to age, sex, socioeconomic status, physical activity, sitting time and self-rated health: the northern Sweden MONICA study 2014.

BACKGROUND: Fatigue is widespread in the population and a common complaint in primary care. Little is known about prevalence of fatigue in the population and its predictors. We aimed to describe the pattern of fatigue in the general population and to explore the associations with age, sex, socioeconomic status, self-reported physical activity, sitting time and self-rated health. METHODS: One thousand, five hundred and fifty-seven out of 2500 invited subjects in the Northern Sweden MONICA Study 2014, aged 25-74 years, filled out the Multidimensional Fatigue Inventory (MFI-20), consisting of four subscales: General fatigue (GF), Physical fatigue (PF), Reduced activity (RA) and Mental fatigue (MF). Questions regarding age, sex, socioeconomic status, physical activity, sitting time and self-rated health were also included. RESULTS: Higher age correlated significantly with lower fatigue scores for the GF and MF subscales. Women had higher fatigue scores than men on all subscales (p < 0.05). Among men, higher socioeconomic status was related to lower fatigue for the GF, PF and RA subscales (age adjusted p < 0.05). Among women, higher socioeconomic status was related to lower fatigue for the PF and MF subscales (age adjusted p < 0.05). Higher physical activity was connected to lower levels of fatigue for all subscales (age and sex adjusted p < 0.001) except for MF. Longer time spent sitting was also related to more fatigue on all subscales (age and sex adjusted p < 0.005) except for MF. Better self-rated health was strongly associated with lower fatigue for all subscales (age and sex adjusted p < 0.001). CONCLUSION: Older, highly educated, physically active men, with little sedentary behavior are generally the least fatigued. Self-rated health is strongly related to fatigue. Interventions increasing physical exercise and reducing sedentary behavior may be important to help patients with fatigue and should be investigated in prospective studies.

Patients with type 1 diabetes in Sweden experience more fatigue than the general population.

AIMS: Type 2 diabetes has been linked to fatigue, but results on type 1 diabetes are ambiguous. Our aim was to determine if type 1 diabetes is associated with fatigue and whether the fatigue is due to complications or to the disease itself. METHODS: The Multidimensional Fatigue Inventory (MFI-20), was submitted to all 435 adult patients with type 1 diabetes in the National Diabetes Register at the Sunderby Hospital clinic and to a control group of 2500 persons. The participation rate was 62% in both groups. RESULTS: Type 1 diabetes was associated with greater fatigue, with a 1.4-point difference (0.9-1.9, 95% CI) in general fatigue on a scale of 4-20. Type 1 diabetes was an independent predictor of fatigue, as were cardiovascular and cerebrovascular disease. Women with long diabetes duration but without complications experienced more fatigue than women in the general population (difference in general fatigue = 2.5, p = 0.021), whereas men showed no significant difference. CONCLUSIONS: Type 1 diabetes is associated with greater fatigue, partly ascribed to vascular disease. Type 1 diabetes of long duration might be associated with fatigue regardless of classical complications, but further research is needed to confirm results.