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Evaluating quality of life in epilepsy: The role of screening for adverse drug effects, depression, and anxiety

Overview of attention for article published in Epilepsy & Behavior, August 2017
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  • High Attention Score compared to outputs of the same age and source (88th percentile)

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1 policy source
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100 Mendeley
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Article details
Title
Evaluating quality of life in epilepsy: The role of screening for adverse drug effects, depression, and anxiety
Published in
Epilepsy & Behavior, August 2017
DOI 10.1016/j.yebeh.2017.07.016
Pubmed ID
Authors
Abstract

The objective of this study was to evaluate the contribution of validated screening tools for antiepileptic drug (AED) adverse effects, depression, and anxiety to measure the quality of life (QoL) in people with epilepsy (PWE). Patients in a tertiary epilepsy service were screened for quality of life (using QOLIE-31), major depressive disorder (MDD) (NDDI-E), generalized anxiety disorder (GAD) (GAD-7), and AED effects (AEP). Mini International Neuropsychiatric Interview (MINI) generalized anxiety disorder module was also performed. For AEP validation in French, the internal structural validity was analyzed. Dimensional (NDDI-E and GAD-7 scores) and categorical (MDD and GAD) analyses were performed to investigate interactions between QoL and AEP. A total of 132 (87 females) subjects were included. The French version of the AEP demonstrated satisfactory psychometric properties (Cronbach's α 0.87). Correlations between NDDI-E, GAD-7, AEP, and QOLIE-31 scores were high, and significant for all subscales of QOLIE-31; no effect of seizure-related variables was seen. Some sex differences in QOLIE-31 subscales were found, and mean AEP score was higher in females. Age, sex, NDDI-E, GAD-7, and AEP scores accounted for 61% of variance of QOLIE-31 scores. Differential effects were seen on QOLIE-31 subscales: AEP strongly correlated with all subscales; GAD-7 scores more strongly correlated with "Seizure Worry"; NDDI-E with "Energy-Fatigue"; and both NDDI-E and GAD-7 scores strongly correlated with "Emotional Well-Being". Categorical analysis of groups with MDD alone, GAD alone, MDD+GAD, and neither MDD nor GAD showed significant differences in AEP and QOLIE-31 scores, with MDD+GAD showing the most AED effects and the poorest QoL. The combination of screening tools for depression (NDDI-E), anxiety (GAD-7), and AED effects (AEP) has a strong power for evaluating QoL in PWE. Coexisting MMD and GAD were associated with the poorest quality of life and the highest AEP scores.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 14 14%
Student > Doctoral Student 9 9%
Student > Bachelor 9 9%
Student > Ph. D. Student 9 9%
Researcher 6 6%
Other 17 17%
Unknown 36 36%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 20 20%
Psychology 12 12%
Nursing and Health Professions 5 5%
Neuroscience 4 4%
Engineering 4 4%
Other 14 14%
Unknown 41 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 08 April 2019.
All research outputs
#9,959,279
of 33,779,198 outputs
Outputs from Epilepsy & Behavior
#1,332
of 5,388 outputs
Outputs of similar age
#113,201
of 353,187 outputs
Outputs of similar age from Epilepsy & Behavior
#14
of 117 outputs
Altmetric has tracked 33,779,198 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 5,388 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 74% of its peers.
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 353,187 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.