Associated and predictive factors of quality of life in patients with temporal lobe epilepsy
Identifying the factors that are correlated with and predictive of reduced quality of life (QOL) is essential to optimize the treatment of epilepsy and the management of comorbidities. We analyzed the independent associations between the Quality of Life in Epilepsy-31 (QOLIE-31) inventory and the de...
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Published in | Epilepsy & behavior Vol. 86; pp. 85 - 90 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
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United States
Elsevier Inc
01.09.2018
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Abstract | Identifying the factors that are correlated with and predictive of reduced quality of life (QOL) is essential to optimize the treatment of epilepsy and the management of comorbidities.
We analyzed the independent associations between the Quality of Life in Epilepsy-31 (QOLIE-31) inventory and the demographic, clinical, psychiatric, and cognitive variables of 47 consecutive patients with temporal lobe epilepsy (TLE). Predictors of the correlated variables were analyzed by multiple linear regression analysis.
The QOLIE-31 total score was positively correlated with occupational status and Mini-Mental State Examination (MMSE) scores (r = 0.290 and 0.295, respectively; P < 0.05) and negatively correlated with the duration of seizures, adverse effects of antiepileptic drugs (AEDs), and the Pittsburgh Sleep Quality Inventory (PSQI), Self-rating Anxiety Scale (SAS), and Self-rating Depression Scale (SDS) scores (r = −0.357, 0.321, 0.328, −0.672, and −0.565, respectively; P < 0.05; P < 0.01 for the SAS and SDS). In the final multivariate regression model, anxiety, long durations of seizures, adverse effects of AEDs, and depression explained approximately 60.6% (adjusted R2 = 0.606, R coefficient = 0.800) of the QOLIE-31 overall score variance.
Anxiety, long durations of seizures, adverse effects of AEDs, and depression were significant predictors of QOL, and these variables had relatively high prediction capacities for the overall QOLIE-31 in the regression model. Comorbid anxiety is the most powerful negative determinant of the QOLIE-31.
•Poor QOL of TLE patients could be diverse in reasons, involving demographic, clinical, psychiatric and cognitive aspects.•Anxiety, longer duration of seizures, adverse effects of AEDs and depression symptom reduce QOL.•The results strengthened the relation of psychiatric comorbidity to QOL of epileptics. |
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AbstractList | OBJECTIVEIdentifying the factors that are correlated with and predictive of reduced quality of life (QOL) is essential to optimize the treatment of epilepsy and the management of comorbidities.METHODSWe analyzed the independent associations between the Quality of Life in Epilepsy-31 (QOLIE-31) inventory and the demographic, clinical, psychiatric, and cognitive variables of 47 consecutive patients with temporal lobe epilepsy (TLE). Predictors of the correlated variables were analyzed by multiple linear regression analysis.RESULTSThe QOLIE-31 total score was positively correlated with occupational status and Mini-Mental State Examination (MMSE) scores (r = 0.290 and 0.295, respectively; P < 0.05) and negatively correlated with the duration of seizures, adverse effects of antiepileptic drugs (AEDs), and the Pittsburgh Sleep Quality Inventory (PSQI), Self-rating Anxiety Scale (SAS), and Self-rating Depression Scale (SDS) scores (r = -0.357, 0.321, 0.328, -0.672, and -0.565, respectively; P < 0.05; P < 0.01 for the SAS and SDS). In the final multivariate regression model, anxiety, long durations of seizures, adverse effects of AEDs, and depression explained approximately 60.6% (adjusted R2 = 0.606, R coefficient = 0.800) of the QOLIE-31 overall score variance.CONCLUSIONAnxiety, long durations of seizures, adverse effects of AEDs, and depression were significant predictors of QOL, and these variables had relatively high prediction capacities for the overall QOLIE-31 in the regression model. Comorbid anxiety is the most powerful negative determinant of the QOLIE-31. Identifying the factors that are correlated with and predictive of reduced quality of life (QOL) is essential to optimize the treatment of epilepsy and the management of comorbidities. We analyzed the independent associations between the Quality of Life in Epilepsy-31 (QOLIE-31) inventory and the demographic, clinical, psychiatric, and cognitive variables of 47 consecutive patients with temporal lobe epilepsy (TLE). Predictors of the correlated variables were analyzed by multiple linear regression analysis. The QOLIE-31 total score was positively correlated with occupational status and Mini-Mental State Examination (MMSE) scores (r = 0.290 and 0.295, respectively; P < 0.05) and negatively correlated with the duration of seizures, adverse effects of antiepileptic drugs (AEDs), and the Pittsburgh Sleep Quality Inventory (PSQI), Self-rating Anxiety Scale (SAS), and Self-rating Depression Scale (SDS) scores (r = −0.357, 0.321, 0.328, −0.672, and −0.565, respectively; P < 0.05; P < 0.01 for the SAS and SDS). In the final multivariate regression model, anxiety, long durations of seizures, adverse effects of AEDs, and depression explained approximately 60.6% (adjusted R2 = 0.606, R coefficient = 0.800) of the QOLIE-31 overall score variance. Anxiety, long durations of seizures, adverse effects of AEDs, and depression were significant predictors of QOL, and these variables had relatively high prediction capacities for the overall QOLIE-31 in the regression model. Comorbid anxiety is the most powerful negative determinant of the QOLIE-31. •Poor QOL of TLE patients could be diverse in reasons, involving demographic, clinical, psychiatric and cognitive aspects.•Anxiety, longer duration of seizures, adverse effects of AEDs and depression symptom reduce QOL.•The results strengthened the relation of psychiatric comorbidity to QOL of epileptics. Identifying the factors that are correlated with and predictive of reduced quality of life (QOL) is essential to optimize the treatment of epilepsy and the management of comorbidities. We analyzed the independent associations between the Quality of Life in Epilepsy-31 (QOLIE-31) inventory and the demographic, clinical, psychiatric, and cognitive variables of 47 consecutive patients with temporal lobe epilepsy (TLE). Predictors of the correlated variables were analyzed by multiple linear regression analysis. The QOLIE-31 total score was positively correlated with occupational status and Mini-Mental State Examination (MMSE) scores (r = 0.290 and 0.295, respectively; P < 0.05) and negatively correlated with the duration of seizures, adverse effects of antiepileptic drugs (AEDs), and the Pittsburgh Sleep Quality Inventory (PSQI), Self-rating Anxiety Scale (SAS), and Self-rating Depression Scale (SDS) scores (r = -0.357, 0.321, 0.328, -0.672, and -0.565, respectively; P < 0.05; P < 0.01 for the SAS and SDS). In the final multivariate regression model, anxiety, long durations of seizures, adverse effects of AEDs, and depression explained approximately 60.6% (adjusted R = 0.606, R coefficient = 0.800) of the QOLIE-31 overall score variance. Anxiety, long durations of seizures, adverse effects of AEDs, and depression were significant predictors of QOL, and these variables had relatively high prediction capacities for the overall QOLIE-31 in the regression model. Comorbid anxiety is the most powerful negative determinant of the QOLIE-31. |
Author | Wu, Ling-chao Zhao, Hai-ting Wu, Wen-yue Huang, Sha Long, Li-li Liu, Chao-rong Yang, Xiao-yan Xiao, Bo Chen, Ya-yu Tan, Lang-zi |
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BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30017833$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_1007_s11136_022_03306_9 crossref_primary_10_1007_s00415_019_09503_w crossref_primary_10_1016_j_yebeh_2021_108201 crossref_primary_10_1186_s12888_022_04154_0 crossref_primary_10_1590_0004_282x_anp_2020_0437 crossref_primary_10_1016_j_yebeh_2020_107473 crossref_primary_10_1016_j_ebr_2024_100663 crossref_primary_10_3389_fneur_2021_743251 crossref_primary_10_1111_bph_15003 crossref_primary_10_3390_brainsci14030241 crossref_primary_10_3389_fpsyt_2022_877956 crossref_primary_10_3389_fpsyt_2020_00670 crossref_primary_10_1016_j_yebeh_2023_109383 crossref_primary_10_1016_j_neuron_2021_10_010 crossref_primary_10_1016_j_yebeh_2022_108677 crossref_primary_10_1007_s10072_021_05595_3 crossref_primary_10_1016_j_eplepsyres_2023_107130 crossref_primary_10_1016_j_yebeh_2021_108076 crossref_primary_10_1016_j_yebeh_2019_03_035 crossref_primary_10_1016_j_yebeh_2020_107699 crossref_primary_10_1016_j_seizure_2021_03_029 crossref_primary_10_1016_j_yebeh_2021_108326 crossref_primary_10_1016_j_yebeh_2021_108448 crossref_primary_10_1016_j_yebeh_2021_108548 crossref_primary_10_1016_j_seizure_2021_03_021 crossref_primary_10_1186_s12955_022_02086_7 crossref_primary_10_1016_j_yebeh_2019_06_003 crossref_primary_10_3389_fnhum_2021_702605 |
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Keywords | Temporal lobe Depression Anxiety Regression analysis Cognitive function Quality of life |
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SubjectTerms | Anxiety Cognitive function Depression Quality of life Regression analysis Temporal lobe |
Title | Associated and predictive factors of quality of life in patients with temporal lobe epilepsy |
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