Background: Depression and anxiety are common psychiatric symptoms in patients with epilepsy, exerting a profound negative effect on health-related quality of life. Several issues, however, pertaining to their association with psychosocial, seizure-related and medication factors, remain controversial. Accordingly, the present study was designed to investigate the association of interictal mood disorders with various demographic and seizure-related variables in patients with newly-diagnosed and chronic epilepsy.
Methods: We investigated 201 patients with epilepsy (51.2% males, mean age 33.2 +/- 10.0 years, range 16-60) with a mean disease duration of 13.9 +/- 9.5 years. Depression and anxiety were assessed in the interictal state with the Beck Depression Inventory, 21-item version (BDI-21) and the state and trait subscales of the State-Trait Anxiety Inventory (STAI-S and STAI-T), respectively. The association of mood disorders with various variables was investigated with simple and multiple linear regression analyses.
Results: High seizure frequency and symptomatic focal epilepsy (SFE) were independent determinants of depression, together accounting for 12.4% of the variation of the BDI-21. The STAI-S index was significantly associated with the type of epilepsy syndrome (SFE). Finally, high seizure frequency, SFE and female gender were independent determinants of trait anxiety accounting for 14.7% of the variation of the STAI-T.
Conclusion: Our results confirm the prevailing view that depression and anxiety are common psychological disorders in epileptics. It is additionally concluded that female gender, high seizure frequency and a symptomatic epilepsy syndrome are independent risk factors for the development of anxiety and/or depression.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2147007 | PMC |
| http://dx.doi.org/10.1186/1744-859X-6-28 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Hyperactivity in the Hypothalamic-Pituitary-Adrenal Axis: An Invisible Killer for Anxiety and/or Depression in Coronary Artherosclerotic Heart Disease.
J Integr Neurosci
December 2024
First Clinical Medical College, Shaanxi University of Chinese Medicine, 712046 Xianyang, Shaanxi, China.
The coexistence of anxiety or depression with coronary heart disease (CHD) is a significant clinical challenge in cardiovascular medicine. Recent studies have indicated that hypothalamic-pituitary-adrenal (HPA) axis activity could be a promising focus in understanding and addressing the development of treatments for comorbid CHD and anxiety or depression. The HPA axis helps to regulate the levels of inflammatory factors, thereby reducing oxidative stress damage, promoting platelet activation, and stabilizing gut microbiota, which enhance the survival and regeneration of neurons, endothelial cells, and other cell types, leading to neuroprotective and cardioprotective benefits.
View Article and Find Full Text PDFFamily Functioning, Anxiety and Depression in Chinese Higher Vocational School Students: A Network Analysis.
Psychol Res Behav Manag
December 2024
Department of Psychiatry, Sleep Medical Center, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China.
Purpose: Network analysis is a statistical method that explores the complex interrelationships among variables by representing them as nodes and edges in a network structure. This study aimed to examine the interconnections between family functioning, anxiety, and depression among vocational school students through network analysis approach.
Participants And Methods: A sample of 2728 higher vocational school students participated in a survey utilizing the Family APGAR Index Questionnaire (APGAR), Generalized Anxiety Disorder Scale (GAD-7), and Patient Health Questionnaire (PHQ-9).
Differences in smoking cessation behaviors and vaping status among adult daily smokers with and without depression, anxiety, and alcohol use: Findings from the 2018 and 2020 International Tobacco Control Four Country Smoking and Vaping (ITC 4CV) Surveys.
Int J Ment Health Addict
December 2024
Department of Psychology, University of Waterloo, Waterloo, ON, Canada.
This study examined differences in quit attempts, 1-month quit success, and vaping status at follow-up among a cohort of 3709 daily smokers with and without depression, anxiety, and regular alcohol use who participated in both the 2018 and 2020 International Tobacco Control Four Country Smoking and Vaping (ITC 4CV) Surveys. At baseline, a survey with validated screening tools was used to classify respondents as having no, or one or more of the following: 1) depression, 2) anxiety, and 3) regular alcohol use. Multivariable adjusted regression analyses were used to examine whether baseline (2018) self-report conditions were associated with quit attempts; quit success; and vaping status by follow-up (2020).
View Article and Find Full Text PDFUnemployment and mental health: a global study of unemployment's influence on diverse mental disorders.
Front Public Health
December 2024
Department of Government and Public Policy, Faculty of Contemporary Studies, National Defence University, Islamabad, Pakistan.
Introduction: Globally, one in five individuals faces unemployment, which substantially increases their risk of developing mental disorders. Understanding the relationship between unemployment and specific mental health outcomes is crucial for formulating effective policy interventions.
Methods: This study examines the relationship between unemployment and mental disorders across 201 countries from 1970 to 2020.
The impact of university freshmen's mental health on academic performance: an empirical study based on M University in Fujian Province, China.
Front Public Health
December 2024
School of Sociology and Political Science, Anhui University, Hefei, Anhui, China.
Objective: To investigate the impact of freshmen's mental health on their short-and long-term academic performance, as well as to provide empirical evidence for improving university students' mental health intervention tactics and higher education quality.
Methods: A multiple regression model was used to analyze student data from 3 years of enrollment at M University in Fujian Province.
Results: Different mental health problems have a significant impact on academic performance, which varies by gender, enrollment year, and subject.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!