Key result
Not using mobility assistive devices (β = 0.262) and older age (β = 0.304) were significantly associated with higher levels of fatigue among persons with late effects of polio.
Why the study?
Are age and the use of mobility assistive devices associated with fatigue in adults with late effects of polio?
Cross-Sectional (n=89)
No
Are age and the use of mobility assistive devices associated with fatigue in adults with late effects of polio?
Effect estimate: β = 0.262 (95% CI 0.63-6.22)
p-value: p=0.017
In persons with late effects of polio, older age and not using mobility assistive devices are associated with higher levels of self-reported fatigue.
Supports targeted fatigue assessment in older adults with late effects of polio not using devices; leaves open causal effects and intervention trials.
BACKGROUND: Fatigue is reported as one of the most disabling symptoms and is common among persons living with late effects of polio. Although fatigue has been studied in the context of people living with late effects of polio, there is a lack of knowledge concerning the association of fatigue and variables of importance for participation in daily life. Therefore, the aim of this study was to explore possible factors associated with fatigue among persons with late effects of polio in Sweden. METHODS: This retrospective registry study consisted of 89 persons with late effects of polio living in Sweden. Fatigue was measured with the Multidimensional Fatigue Inventory (MFI-20) scale, Swedish version. Pearson's correlation coefficient was used to analyse the correlation between the factors and fatigue, and a multiple linear regression was carried out to explore factors for fatigue. RESULTS: Fatigue statistically significantly correlated with age (r = 0.234, p < 0.05) and the use of mobility assistive devices (r = 0.255, p < 0.05). The multiple linear regression model showed that the factors age (β = 0.304, p < 0.019) and mobility assistive devices (β = 0.262, p < 0.017) were associated with fatigue among persons living with late effects of polio, and the model partly explained 14% of the variation of fatigue. CONCLUSIONS: Fatigue could partly be explained by the extent of using mobility assistive devices and age. Healthcare professionals should provide and demonstrate the importance of assistive devices to ensure management of fatigue in persons living with late effects of polio.
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Silva et al. (2016) conducted a cross-sectional in Late effects of polio (n=89). Not using mobility assistive devices vs. Using mobility assistive devices was evaluated on Fatigue measured by the Multidimensional Fatigue Inventory (MFI-20) scale (β = 0.262, 95% CI 0.63-6.22, p=0.017). Not using mobility assistive devices (β = 0.262) and older age (β = 0.304) were significantly associated with higher levels of fatigue among persons with late effects of polio.
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