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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Non-Motor Symptoms as Predictors of Quality of Life in Egyptian Patients With Parkinson’s Disease: A Cross-Sectional Study Using a Culturally Adapted 39-Item Parkinson’s Disease Questionnaire
|
|---|---|
| Published in |
Frontiers in Neurology, May 2018
|
| DOI | 10.3389/fneur.2018.00357 |
| Pubmed ID | |
| Authors |
Ali S. Shalash, Eman Hamid, Hanan Hani Elrassas, Ahmed Safwat Bedair, Abdelrahman Ibrahim Abushouk, Mohamed Khamis, Mostafa Hashim, Nahed Salah-Eldin Ahmed, Samia Ashour, Mahmoud Elbalkimy |
| Abstract |
The prevalence of non-motor symptoms (NMSs) and their impact on health-related quality of life (HRQoL) in Parkinson's disease (PD) has been reported inconsistently among different populations. In this study, we aimed to investigate the NMSs and HRQoL profiles and their correlation in Egyptian PD patients, using a culturally adapted Arabic version of the 39-item Parkinson's disease questionnaire (PDQ-39). Ninety-seven PD patients were rated using the unified Parkinson's disease rating scale (UPDRS), the non-motor symptoms scales (NMSS), Beck depression inventory (BDI), and the Arabic version of PDQ-39. We used the Spearman's rank correlation and multiple linear regression analyses to evaluate the relationship between NMSs domains and HRQoL dimensions. Fatigue/sleep (91.3%) and mood/cognitive disturbances (87%) were the most frequently and severely affected NMSS domains. Other common NMSs included urinary (75.9%), memory/attention (72.4%), gastrointestinal (67.8%), and cardiovascular problems (64.8%). The total NMSS scores were positively correlated with UPDRS I, II, and III scores. Depression was prevalent in 76.7% of PD patients. Moreover, all enrolled PD patients reported impairment in different HRQoL dimensions, especially mobility (98.9%), activities of daily living (97.8%), and emotional well-being (95.5%). The summary index of PDQ-39 was correlated to the total NMSS, UPDRS-I, UPDRS-II Off, UPDRS-III (Off and On states), and BDI scores. This study showed the high prevalence of NMSs and the value of NMSS and BDI scores as predictors of HRQoL in Egyptian PD patients. Therefore, characterizing the NMSs profile is essential for tailoring management strategies for PD patients. |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 15 | 19% |
| Student > Master | 15 | 19% |
| Researcher | 8 | 10% |
| Other | 6 | 7% |
| Student > Doctoral Student | 5 | 6% |
| Other | 10 | 12% |
| Unknown | 22 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 14 | 17% |
| Medicine and Dentistry | 11 | 14% |
| Psychology | 9 | 11% |
| Nursing and Health Professions | 5 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
| Other | 12 | 15% |
| Unknown | 27 | 33% |
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 24 May 2018.
All research outputs
#20,506,328
of 23,072,295 outputs
Outputs from Frontiers in Neurology
#8,988
of 11,973 outputs
Outputs of similar age
#289,969
of 330,346 outputs
Outputs of similar age from Frontiers in Neurology
#233
of 307 outputs
Altmetric has tracked 23,072,295 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,973 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 307 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.