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The impact of nocturnal disturbances on daily quality of life in patients with Parkinson’s disease

Overview of attention for article published in Neuropsychiatric Disease and Treatment, August 2015
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters
facebook
2 Facebook pages

Citations

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15 Dimensions

Readers on

mendeley
30 Mendeley
Title
The impact of nocturnal disturbances on daily quality of life in patients with Parkinson’s disease
Published in
Neuropsychiatric Disease and Treatment, August 2015
DOI 10.2147/ndt.s85483
Pubmed ID
Authors

Ruey-Meei Wu, Rwei-Ling Yu, Chun-Hsiang Tan

Abstract

The aims of this study were to explore nocturnal disturbances in patients with Parkinson's disease (PD) and to assess their impact on quality of life (QoL). A total of 211 patients with PD were recruited for this study, and each participant was evaluated using the mini-mental state examination, PD sleep scale - second version (PDSS-2), pittsburgh sleep quality index (PSQI), PD QoL questionnaire (PDQ), Epworth sleepiness scale, Hoehn and Yahr (H&Y) staging, and unified Parkinson's disease rating scale (UPDRS). Multiple regression analyses were performed to determine the contribution of the predictive variables on QoL. There were 56.4% males (mean age: 64.08 years; disease duration: 6.02 years; H&Y stage: 2.25; and UPDRS: 33.01) in this study. Our patients' actual sleep time was 5.96±1.16 hours and the average sleep efficiency was 82.93%±12.79%. Up to 64.4% of patients were classified as "poor" sleepers and 23.8% suffered from daytime sleepiness. The final stepwise regression model revealed that UPDRS parts I and II, the sleep disturbance and daytime dysfunction components of the PSQI, the PD symptoms at night subscale of the PDSS-2, and the levodopa equivalent dose were significant predictors of the PDQ score (R (2)=53, F 7,165=28.746; P<0.001). Most of the PD patients have sleep problems, and nearly one-quarter of them have abnormal daytime somnolence. The nocturnal disturbances were found to result in worse QoL in PD patients. Ethnicity-specific effects of susceptibility to sleep disturbances were discussed, and these results also highlighted the direction for further studies to explore when examining effective management programs toward these disturbances.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 20%
Other 5 17%
Student > Ph. D. Student 5 17%
Student > Bachelor 3 10%
Student > Doctoral Student 3 10%
Other 5 17%
Unknown 3 10%
Readers by discipline Count As %
Medicine and Dentistry 9 30%
Neuroscience 5 17%
Agricultural and Biological Sciences 3 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Computer Science 2 7%
Other 5 17%
Unknown 4 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 January 2017.
All research outputs
#14,234,315
of 22,821,814 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,471
of 2,986 outputs
Outputs of similar age
#136,018
of 264,253 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#51
of 92 outputs
Altmetric has tracked 22,821,814 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,986 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 264,253 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.