↓ Skip to main content

Factors influencing quality of life in patients followed in the neurosonology laboratory for carotid stenosis

Overview of attention for article published in Health and Quality of Life Outcomes, April 2018
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users
facebook
1 Facebook page
reddit
1 Redditor

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
94 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Factors influencing quality of life in patients followed in the neurosonology laboratory for carotid stenosis
Published in
Health and Quality of Life Outcomes, April 2018
DOI 10.1186/s12955-018-0902-2
Pubmed ID
Authors

Táňa Fadrná, Zdeňka Mikšová, Roman Herzig, Kateřina Langová, Libor Ličman, David Školoudík

Abstract

Quality of life (QoL) is one of the main endpoints in stroke prevention or acute stroke treatment studies. The aim of the current study was to identify risk factors affecting the QoL of patients with carotid stenosis in stroke prevention. Self-sufficient patients (50-80 years of age) with ≥20% carotid artery stenosis followed in the neurosonology laboratory, and without any severe illnesses within the last 12 months, dementia, or psychiatric disorders were selected for the study after signing informed consent. Patients completed two standardized QoL questionnaires (WHOQoL-BREF and EQ-5D-3 L) and a visual pain scale, provided covariate variables (medication, age, gender, education, and social situation), and the blood pressure and body mass indexes were recorded. Logistic regression (forward stepwise method) was used to identify factors affecting the individual domains of QoL questionnaires. Of the 584 consecutive patients, 502 met the inclusion criteria and 344 completely filled both QoL questionnaires (164 men; mean age, 69.7 ± 7.8 years). An independent predictor of worse QoL in all domains was pain. Independent factors decreasing the QoL were lower level of education and blood pressure in the physical health domain, female gender in the psychological domain, and male gender in the social relationships domain. Independent factors decreasing satisfaction with health status were female gender and higher blood pressure. Factors negatively influencing the satisfaction with the QoL were living alone, lower level of education, and higher diastolic blood pressure (WHOQoL-BREF). Factors negatively influencing mobility were age, male gender, living alone, lower level of education, and higher body mass index (EQ-5D-3 L; p < 0.05 in all cases). Pain, blood pressure, body mass index, education, living alone, gender, and age were associated with the QoL in patients with carotid stenosis. ClinicalTrials.gov, NCT02360137 . Registered on 26 January 2015.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 94 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 15%
Researcher 8 9%
Student > Bachelor 8 9%
Other 7 7%
Student > Ph. D. Student 6 6%
Other 11 12%
Unknown 40 43%
Readers by discipline Count As %
Medicine and Dentistry 20 21%
Nursing and Health Professions 13 14%
Psychology 5 5%
Agricultural and Biological Sciences 3 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 8 9%
Unknown 43 46%
Attention Score in Context

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 01 May 2018.
All research outputs
#14,981,465
of 23,045,021 outputs
Outputs from Health and Quality of Life Outcomes
#1,275
of 2,188 outputs
Outputs of similar age
#197,103
of 326,468 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#64
of 73 outputs
Altmetric has tracked 23,045,021 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,188 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 38th percentile – i.e., 38% 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 326,468 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% 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 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.