| 1. |
|
|
| 2. |
|
|
| 3. |
|
|
| 4. |
- Höglund, Arja, et al.
(författare)
-
Associations between fluctuations in daytime sleepiness and motor and non-motor symptoms in Parkinson's disease
- 2021
-
Ingår i: Movement Disorders Clinical Practice. - 2330-1619. ; 8:1, s. 44-50
-
Tidskriftsartikel (refereegranskat)abstract
- Abstract Background Non-motor fluctuations (NMF) are a major concern in Parkinson's disease (PD), and they have been categorised into neuropsychiatric, autonomic and sensory fluctuations. However, this categorisation does not include sleep and sleep-related features, and the association between daytime sleepiness and other motor and/or non-motor fluctuations in PD remains to be elucidated. Objective To investigate the relationship between daytime sleepiness and other non-motor and motor fluctuations in people with PD. Methods A three-day home diary recording daytime sleepiness, mood, anxiety, and motor symptoms was used along with the Karolinska Sleepiness Scale (KSS) and six days of accelerometer (Parkinson's KinetiGraph?; PKG?) registration to detect motor fluctuations among people with a DaTSCAN verified clinical PD diagnosis (32 men; mean PD duration, 8.2?years). Participants were categorised as motor fluctuators or non-fluctuators according to the UPDRS part IV and/or the presence of motor and non-motor fluctuations. Results Fifty-two people with PD participated. Daytime sleepiness correlated significantly with motor symptoms, mood and anxiety among those classified as motor fluctuators (n = 28). Motor fluctuators showed stronger correlations between the individual mean level of all diary variables (daytime sleepiness, anxiety, mood and motor symptoms) when compared to the non-fluctuators (n = 24). Stronger positive within-individual correlations were found among fluctuators in comparison to non-fluctuators. In general, PKG data did not correlate with diary data. Conclusion Episodes of daytime sleepiness, as reported by home diaries, were associated with other self-reported non-motor and motor fluctuations, but were not supported by PKG data.
|
|
| 5. |
|
|
| 6. |
|
|
| 7. |
- Hagell, Peter, et al.
(författare)
-
A Swedish version of the 16-item Parkinson Fatigue Scale (PFS-16)
- 2012
-
Ingår i: Acta Neurologica Scandinavica. - : Wiley-Blackwell. - 0001-6314 .- 1600-0404. ; 125:4, s. 288-292
-
Tidskriftsartikel (refereegranskat)abstract
- Background – The PFS-16 is a 16-item fatigue scale for Parkinson’s disease (PD) developed in the UK. However, documented translations and psychometric evaluations are sparse.Aim – To translate the PFS-16 into Swedish and conduct initial testing of its psychometric properties.Methods – Following translation, the PFS-16 was administered twice (2 weeks apart) to 30 people with PD (18 men; mean age/PD duration, 60/6.4 years). The PFS-16 uses five response categories (1 = strongly disagree, 5 = strongly agree), and the total score is the mean over item scores (1–5; 5 = more fatigue). An alternative, dichotomised scoring method has also been suggested (total score, 0–16; 16 = more fatigue). Scaling assumptions, floor/ceiling effects, reliability, and correlations with other variables including the generic fatigue scale Functional Assessment of Chronic Illness Therapy – Fatigue scale (FACIT-F) were tested.Results – Scaling assumptions were generally supported for the original scoring [range of mean (SD) item scores, 2.1–3.3 (1–1.4); corrected item-total correlations, ≥0.40], but not for dichotomised scoring [range of mean (SD) item scores, 0.1–0.6 (0.3–0.5); corrected item-total correlations, ≥0.16]. Reliabilities were ≥0.88. Floor effects were absent (original scoring) and >23% (dichotomised scoring); there were no ceiling effects. Correlations with other variables followed expectations (e.g. −0.88 with FACIT-F scores).Conclusions – These observations support the psychometric properties of the Swedish PFS-16, but cautions against dichotomised scoring.
|
|
| 8. |
|
|
| 9. |
- Hoglund, A., et al.
(författare)
-
Is excessive daytime sleepiness a separate manifestation in Parkinson's disease?
- 2015
-
Ingår i: Acta Neurologica Scandinavica. - : Hindawi Limited. - 0001-6314 .- 1600-0404. ; 132:2, s. 97-104
-
Tidskriftsartikel (refereegranskat)abstract
- BackgroundExcessive daytime sleepiness (EDS) is common in Parkinson's disease (PD), but its role and relation to other PD features is less well understood. ObjectiveTo investigate potential predictors of EDS in PD and to explore how EDS relates to other motor and non-motor PD features. Methods118 consecutive persons with PD (54% men; mean age, 64) were assessed regarding EDS using the Epworth Sleepiness Scale (ESS) and a range of motor and non-motor symptoms. Variables significantly associated with ESS scores in bivariate analyses were used in multiple regression analyses with ESS scores as the dependent variable. Principal component analysis (PCA) was conducted to explore the interrelationships between ESS scores and other motor and non-motor PD aspects. ResultsAmong 114 persons with complete ESS data, significant independent associations were found between ESS scores and axial/postural/gait impairment, depressive symptoms, and pain (R-2, 0.199). ESS scores did not load significantly together with any other PD features in the PCA. ConclusionsOnly a limited proportion of the variation in EDS could be accounted for by other symptoms, and EDS did not cluster together with any other PD features in PCAs. This suggests that EDS is a separate manifestation differing from, for example, poor sleep quality and fatigue.
|
|
| 10. |
|
|
