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Kumaraswamy Distribution in Analyzing the Health-related Quality of Life and Effective Factors in Elderly Patients with Epilepsy
Zabol Univ Med Sci, Sch Publ Hlth, Dept Epidemiol & Biostat, Zabol, Iran and Univ Tehran Med Sci, Sch Publ Hlth, Dept Epidemiol & Biostat, Tehran, Iran.
Univ Tehran Med Sci, Sch Publ Hlth, Dept Epidemiol & Biostat, Tehran, Iran.
Univ Tehran Med Sci, Sch Publ Hlth, Dept Epidemiol & Biostat, Tehran, Iran.
Zabol Univ Med Sci, Sch Publ Hlth, Dept Nutr, Zabol, Iran.
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2019 (English)In: Archives of Neuroscience, ISSN 2322-3944, Vol. 6, no 4, article id UNSP e95476Article in journal (Refereed) Published
Abstract [en]

Background: 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 (beta = 0.157, P < 0.0001) and LSSS score (beta = -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 (beta = 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 frequencyand 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.

Place, publisher, year, edition, pages
Kowsar Publishing Corporation , 2019. Vol. 6, no 4, article id UNSP e95476
Keywords [en]
Epilepsy, Health-related Quality of Life, Medication Adherence, Seizure, Kumaraswamy Regression
National Category
Neurology
Identifiers
URN: urn:nbn:se:hj:diva-46929DOI: 10.5812/ans.95476ISI: 000494037700011Local ID: POA HHJ 2019;HHJÖvrigtISOAI: oai:DiVA.org:hj-46929DiVA, id: diva2:1373871
Available from: 2019-11-28 Created: 2019-11-28 Last updated: 2020-01-20Bibliographically approved

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Pakpour, Amir H.

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