Kumaraswamy Distribution in Analyzing the Health-related Quality of Life and Effective Factors in Elderly Patients with Epilepsy

AuthorSoudabeh Hamedi-Shahrakien
AuthorMohammad Reza Eshraghianen
AuthorMir Saeed Yekaninejaden
AuthorFarshad Amirkhizien
AuthorAliakbar Rasekhien
AuthorAmir Pakpouren
OrcidAliakbar Rasekhi [0000-0002-2069-384X]en
Issued Date2019-10-31en
AbstractBackground: Epilepsy, which develops in the elderly, is recognized as a major health burden. Although health-related quality of life (HRQoL) is an essential element in the medical treatment of elderly patients with epilepsy, it is a question whether epilepsy and its treatment effectively influence the quality of life (QoL) in the elderly. Objectives: The current study aimed at evaluating the relationship between demographic and clinical aspects of epilepsy in HRQoL of elderly patients. Since HRQoL scores are bounded, the Kumaraswamy (Kum) regression model was used to analyze the data. Methods: The current study was conducted on 766 elderly patients diagnosed with epilepsy taking at least one antiepileptic drug (AED) selected from six neurologic clinics in Iran. In addition to demographic information, the Liverpool seizure severity scale (LSSS), medication adherence report scale (MARS-5), and quality of life in epilepsy (QoLIE-31) questionnaire were completed for patients. Data were analyzed using multiple linear regression (MLR) and the Kum regression models. Results: Most of the patients included in the study had focal (70.2%) epilepsy. Mean duration of disease was 17.71 ± 4.56 years and the average number of seizures was 3.4 ± 3.2 episodes per month. The Kum regression model indicated that seizure frequency (β = -0.157, P < 0.0001) and LSSS score (β = -0.003, P = 0.009) were significant and negative predictors of overall QoLEI-31 score; MARS-5 score was a positive predictor of overall QoLEI-31 score (β = 0.014, P = 0.002). However, disease duration and serum AED level had no significant effects on overall QoLEI-31 score. Conclusions: The findings suggested that increased seizure frequency and severity were associated with lower QoL and medication adherence was directly associated with HRQoL. The Kum regression could be a suitable alternative to the methods currently used in the analysis of HRQoL data.en
DOIhttps://doi.org/10.5812/ans.95476en
KeywordEpilepsyen
KeywordHealth-related Quality of Lifeen
KeywordMedication Adherenceen
KeywordSeizureen
KeywordKumaraswamy Regressionen
PublisherBrieflandsen
TitleKumaraswamy Distribution in Analyzing the Health-related Quality of Life and Effective Factors in Elderly Patients with Epilepsyen
TypeResearch Articleen

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