Real‐time daily fatigue, sleep, physical activity, and health‐related fitness in adults with cerebral palsy.

Autor: Verschuren, Olaf, Benner, Joyce L., Balemans, Astrid C. J., Horemans, Herwin, Van Den Berg‐Emons, Rita Johanna G., Van Der Slot, Wilma M. A.
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Zdroj: Developmental Medicine & Child Neurology; Apr2023, Vol. 65 Issue 4, p509-516, 8p
Abstrakt: Aim: To explore whether subgroups of adults with cerebral palsy (CP) with different fatigue diurnal profiles can be discerned, and to explore whether sleep, physical activity, or health‐related fitness are associated with these profiles. Method: Thirty‐two adults (median age 29 years 8 months; range 20–54 years; 11 males, 21 females) with spastic CP (Gross Motor Function Classification System levels I–III) with physical activity‐related fatigue complaints participated. Real‐time fatigue and physical activity were assessed for 7 consecutive days by short message service text four times during the day and by wearing an accelerometer respectively. Sleep was assessed by the Pittsburgh Sleep Quality Index, and fitness by assessing body composition and aerobic capacity. Latent class growth modelling was used to classify subgroups according to their diurnal profiles of real‐time fatigue. Univariable multinomial logistic regression analysis explored whether participant characteristics, sleep, physical activity, or health‐related fitness were associated with diurnal profiles. Results: Three distinct fatigue diurnal profiles were identified: stable low (n = 10), increasing (n = 14), and stable high (n = 8). Only aerobic capacity was associated with fatigue profiles (odds ratio 1.15, 95% confidence interval 1.00–1.34; p = 0.05). Interpretation: Fatigue in adults with CP may be low or high stable or may increase during the day. These findings indicate the relevance of assessing fatigue variability. What this paper adds: We found three patterns of daily fatigue in adults with cerebral palsy (CP).Only aerobic capacity was associated with fatigue profiles in adults with CP.Moment‐to‐moment variations in fatigue can help with personalized fatigue management. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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