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The impact of nonmotor symptoms on quality of life in patients with Parkinson's disease in Taiwan

Overview of attention for article published in Neuropsychiatric Disease and Treatment, November 2015
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2 Facebook pages

Citations

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65 Mendeley
Title
The impact of nonmotor symptoms on quality of life in patients with Parkinson's disease in Taiwan
Published in
Neuropsychiatric Disease and Treatment, November 2015
DOI 10.2147/ndt.s88968
Pubmed ID
Authors

Weng-Ming Liu, Ru-Jen Lin, Rwei-Ling Yu, Chun-Hwei Tai, Chin-Hsien Lin, Ruey-Meei Wu

Abstract

The nonmotor symptoms (NMS) of Parkinson's disease (PD) are important factors for quality of life (QoL). Few studies on NMS have been conducted in Asian PD patients. Additionally, effects of anti-PD drugs on risk of NMS are still controversial. We therefore conducted this hospital-based cross-sectional study to examine the clinical factors, including concomitant anti-PD medication use, on the occurrence of NMS and QoL in Taiwanese PD patients. PD patients who received long-term follow-up in the movement disorders clinics were enrolled and received NMS questionnaire (NMSQuest) and the 39-item Parkinson's Disease Questionnaire (PDQ-39). Spearman's rank correlation coefficient was checked for the correlation between clinical factors and NMSQT/PDQSI. Multiple linear regressions were applied to assess the influence of clinical factors on NMSQT/PDQSI. A total of 210 PD patients (mean age 66.1±9.86 years, Hoehn and Yahr stage 2.2±0.9) were included in this study. Up to 98% of patients reported at least one symptom of NMS. The most prevalent symptom was urinary complaints (56%), followed by memory/apathy (30%) and depression/anxiety (28%). The correlation between NMSQT and PDQSI was strong (r s=0.667), especially the item of depression/anxiety (r s=0.607). The regression model for NMSQT indicated that disease duration and severity, but not pharmacological therapy, were major predictors of NMS. Our data indicated a high prevalence rate of NMS in PD patients. Among symptoms of NMS, depression and anxiety had the greatest impact on QoL. Concomitant anti-PD medication use did not affect the occurrence of NMS and QoL.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 64 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 18%
Student > Ph. D. Student 8 12%
Student > Doctoral Student 6 9%
Student > Postgraduate 6 9%
Professor > Associate Professor 6 9%
Other 15 23%
Unknown 12 18%
Readers by discipline Count As %
Medicine and Dentistry 20 31%
Neuroscience 15 23%
Psychology 10 15%
Nursing and Health Professions 2 3%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 3 5%
Unknown 14 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 December 2015.
All research outputs
#17,286,379
of 25,374,647 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,901
of 3,132 outputs
Outputs of similar age
#176,405
of 294,815 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#69
of 73 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,132 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 30th percentile – i.e., 30% 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 294,815 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.