Literature DB >> 11440353

High and low perceived self-control of epileptic seizures.

S Spector1, C Cull, L H Goldstein.   

Abstract

PURPOSE: To define behaviours and to identify psychological, demographic, and epilepsy-related variables associated with high as opposed to low perceived self-control of seizures.
METHOD: In a semistructured interview, 100 adults with intractable seizures were asked about their seizure precipitants and attempts at self-control of seizures. They also completed four psychological questionnaires. Latent Class Analysis was used to analyse the interview data to create two groups, High Controllers and Low Controllers, who were then compared on demographic, epilepsy, and psychological characteristics.
RESULTS: Being able to identify and seeking out low-risk-for-seizure situations, avoiding high-risk-for-seizure situations, and making attempts at seizure inhibition were seizure behaviours that discriminated High from Low Controllers. The general probability of being a High Controller was greater than that of being a Low Controller. Perceived high self-control of seizures was associated with low chance-health locus of control. For Low Controllers, current age, age at onset of seizures, and duration of epilepsy history were related to psychological variables. A significantly higher proportion of the Low Controllers than High Controllers were women.
CONCLUSIONS: Many people with intractable seizures do not accept their epilepsy as a condition over which they have no control. Perceived self-control of seizures, however, involves a complex interaction between epilepsy and psychological factors, with health locus of control an apparently important discriminator between High and Low Controllers.

Entities:  

Mesh:

Year:  2001        PMID: 11440353     DOI: 10.1046/j.1528-1157.2001.09800.x

Source DB:  PubMed          Journal:  Epilepsia        ISSN: 0013-9580            Impact factor:   5.864


  6 in total

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2.  Seizure precipitants in a community-based epilepsy cohort.

Authors:  Merel Wassenaar; Dorothée G A Kasteleijn-Nolst Trenité; Gerrit-Jan de Haan; Johannes A Carpay; Frans S S Leijten
Journal:  J Neurol       Date:  2014-02-06       Impact factor: 4.849

3.  Early follow-up data from seizure diaries can be used to predict subsequent seizures in same cohort by borrowing strength across participants.

Authors:  Charles B Hall; Richard B Lipton; Howard Tennen; Sheryl R Haut
Journal:  Epilepsy Behav       Date:  2009-01-10       Impact factor: 2.937

4.  Mobile Software as a Medical Device (SaMD) for the Treatment of Epilepsy: Development of Digital Therapeutics Comprising Behavioral and Music-Based Interventions for Neurological Disorders.

Authors:  Pegah Afra; Carol S Bruggers; Matthew Sweney; Lilly Fagatele; Fareeha Alavi; Michael Greenwald; Merodean Huntsman; Khanhly Nguyen; Jeremiah K Jones; David Shantz; Grzegorz Bulaj
Journal:  Front Hum Neurosci       Date:  2018-05-01       Impact factor: 3.169

Review 5.  Modulation of autonomic activity in neurological conditions: Epilepsy and Tourette Syndrome.

Authors:  Yoko Nagai
Journal:  Front Neurosci       Date:  2015-09-17       Impact factor: 4.677

6.  Commentary: Integrating electrodermal biofeedback into pharmacologic treatment of grand mal seizures.

Authors:  Iliana Kotwas; Jean-Arthur Micoulaud-Franchi; Fabrice Bartolomei; Yoko Nagai
Journal:  Front Hum Neurosci       Date:  2015-12-23       Impact factor: 3.169

  6 in total

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