Epilepsy & Behavior最新文献

{"title":"Metacognitive beliefs in epilepsy: What is their contribution to quality of life in the context of anxiety, depression and cognitive functioning?","authors":"Kristijonas Puteikis,&nbsp;Arminas Jasionis,&nbsp;Rūta Mameniškienė","doi":"10.1016/j.yebeh.2025.110356","DOIUrl":"10.1016/j.yebeh.2025.110356","url":null,"abstract":"<div><h3>Background</h3><div>Beliefs about one’s own thinking process – metacognition – are thought to influence a person’s susceptibility to anxiety and depression. We aimed to explore the association between metacognitive beliefs, psychological symptomatology, objective cognitive functioning and quality of life (QoL) among people with epilepsy.</div></div><div><h3>Methods</h3><div>We performed a cross-sectional study including adults with epilepsy who attended an outpatient clinic. Participants provided sociodemographic data, information about their seizures and were then asked to complete the metacognitions questionnaire-30 (MCQ-30), the patient-weighted inventory on quality of life in epilepsy (QOLIE-31-P), the Neurological Disorders Depression Inventory in Epilepsy (NDDI-E), the Generalized Anxiety Disorder Scale-7 (GAD-7), and provide a self-rated assessment of cognitive functioning by rating their memory, attention and reaction speed on single-item scales from 0 to 10. They then underwent neuropsychological assessment targeting executive functioning, attention and reaction speed. The associations between metacognitive beliefs, psychological symptoms and QoL as well as self-rated and objective cognitive assessment were explored through correlation calculations. Statistically significant relationships were then used for analysis of path models with QoL as the dependent variable.</div></div><div><h3>Results</h3><div>The PWE sample consisted of 54 PWE (32, 59.3 % female), most having focal epilepsy (38, 70.4 %) and receiving ASM polytherapy (36, 66.7 %). There were no substantial differences in metacognitive beliefs based on demographic or epilepsy-related variables (p &gt; 0.05). Symptoms of anxiety and depression were found to mediate the association between negative metacognitive beliefs about the uncontrollability and danger of perseverative thinking and QoL. Cognitive confidence and self-rated assessment of memory, attention and reaction speed contributed to overlapping psychometric constructs with the cognitive subscale of QOLIE-31-P. Correlations between objective cognitive measures and self-rated attention, but not metacognitive domains were seen.</div></div><div><h3>Conclusion</h3><div>Metacognitive beliefs may be associated with QoL in epilepsy by exerting effect through psychological symptomatology. Based on our findings, negative metacognitive beliefs may be investigated as relevant targets for future therapies aiming to improve QoL among PWE. Self-rated cognitive ability assessment and cognitive confidence are largely independent of objective cognitive performance and overlap with the cognitive domain of QOLIE-31-P.</div></div>","PeriodicalId":11847,"journal":{"name":"Epilepsy & Behavior","volume":"166 ","pages":"Article 110356"},"PeriodicalIF":2.3,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The temporal-insula type of temporal plus epilepsy patients with different postoperative seizure outcomes have different cerebral blood flow patterns","authors":"Yuanfang Jiang ,&nbsp;Guixian Tang ,&nbsp;Shixin Liu ,&nbsp;Yongjin Tang ,&nbsp;Qijun Cai ,&nbsp;Chunyuan Zeng ,&nbsp;Guowei Li ,&nbsp;Biao Wu ,&nbsp;Huanhua Wu ,&nbsp;Zhiqiang Tan ,&nbsp;Jingjie Shang ,&nbsp;Qiang Guo ,&nbsp;Xueying Ling ,&nbsp;Hao Xu","doi":"10.1016/j.yebeh.2025.110342","DOIUrl":"10.1016/j.yebeh.2025.110342","url":null,"abstract":"<div><h3>Purpose</h3><div>This study retrospectively analyzed preoperative arterial spin labeling (ASL) perfusion MRI data of patients with the temporal-insula type of temporal plus epilepsy (TI-TPE). We aimed to investigate the differences in presurgical cerebral blood flow (CBF) changes in TI-TPE patients with different surgical outcomes.</div></div><div><h3>Method</h3><div>A total of 48 TI-TPE patients confirmed by SEEG were meticulously reviewed for this study. Patients were divided into the seizure-free (SF) group (Engel IA) and the non-seizure-free (NSF) group (Engel IB to IV) according to the Engel seizure classification. The 3D-ASL data of all patients before surgery were analyzed using statistical parametric mapping (SPM) and graph theory analysis. These findings were then compared to healthy controls (HC) based on whole-brain voxel-level analysis and covariance network analysis.</div></div><div><h3>Result</h3><div>At the voxel-level, both SF and NSF groups showed significantly decreased CBF in the ipsilateral transverse temporal gyrus and insula (TTG/insula), contralateral middle cingulate gyrus, precuneus (MCG/precuneus), and increased CBF in the ipsilateral superior temporal gyrus and the superior temporal pole (STG/STP). Wherein the SF group showed more lower CBF in the contralateral MCG/precuneus, with unique increased CBF in the contralateral STG/insula and decreased CBF in the contralateral calcarine as well. In terms of network attributes, the NSF group showed a significantly higher clustering coefficient (Cp), global efficiency (Eglob), local efficiency (Eloc), shorter shortest path length (Lp), and more extensive abnormal nodes compared to the SF and HC groups. While the SF group has higher synchronicity than the HC group.</div></div><div><h3>Conclusion</h3><div>Both SF and NSF groups had abnormal CBF changes at the voxel and network levels with different patterns. The SF group showed more obvious regional CBF changes, while the NSF group showed more extended network disruption, which might underlie different seizure outcomes after local surgical resection.</div></div>","PeriodicalId":11847,"journal":{"name":"Epilepsy & Behavior","volume":"166 ","pages":"Article 110342"},"PeriodicalIF":2.3,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of the three scoring models (STEPSS, mSTEPSS, and END-IT) for outcome characteristics in a pediatric status epilepticus cohort","authors":"Seda Kanmaz ,&nbsp;Gürsel Şen ,&nbsp;Erdem Simsek ,&nbsp;Yavuz Ataş ,&nbsp;Özlem Yılmaz ,&nbsp;Kübra Cebeci ,&nbsp;Pınar Yazıcı Özkaya ,&nbsp;Benay Turan ,&nbsp;Benan Dernek ,&nbsp;Caner Turan ,&nbsp;Ali Yurtseven ,&nbsp;Eylem Ulaş Saz ,&nbsp;Bülent Karapınar ,&nbsp;Sanem Yılmaz ,&nbsp;Hasan Tekgül","doi":"10.1016/j.yebeh.2025.110346","DOIUrl":"10.1016/j.yebeh.2025.110346","url":null,"abstract":"<div><h3>Background</h3><div>Various scoring models have been developed to predict outcomes in pediatric status epilepticus (SE)</div></div><div><h3>Objectives</h3><div>To compare a set of scoring models for predictivity of outcome characteristics in a single-center pediatric SE cohort.</div></div><div><h3>Patients and Methods</h3><div>Three SE scoring models (STEPSS, mSTEPSS, and END-IT) were retrospectively evaluated for outcome characteristics in a cohort including 240 children. The areas under curves (AUC) were calculated for the models: short-term outcome with in-hospital mortality, progression to refractory / super-refractory SE, poor outcome at hospital discharge with modified Rankin scale (mRS), and long-term functional outcome with the scores of pediatric overall performance category (POPC) scale at 2-years of follow-up.</div></div><div><h3>Results</h3><div>The mean age was 64.8 <strong>±</strong> 53.9 (1–216) months and 59.2 % of the patients were male. The refractory or super-refractory SE was observed in 100 patients of 240 (41.7 %) patients. A non-convulsive status epilepticus developed in 2.1 % (n = 5) of the patients during follow-up. Fifty-seven patients (23.7 %) received a new diagnosis of epilepsy. In-hospital mortality was 2.5 % in the whole cohort. A poor primary outcome was defined in 64 (26.7 %) with a POPC score ≥ 3. Among three scoring models, the END-IT provided a moderate predictivity for in-hospital mortality, progression to refractory/super-refractory SE, poor outcome at hospital discharge with mRS, and POPC score ≥ 3, <em>AUCs</em> were <em>0.815, 0.715, 0.742</em> and <em>0.720</em>, respectively.</div></div><div><h3>Conclusion</h3><div>The END-IT scoring model is a practical and reliable tool for outcome prediction in the intensive care unit as well as the poor outcome at hospital discharge and functional outcome at 2 years of follow-up.</div></div>","PeriodicalId":11847,"journal":{"name":"Epilepsy & Behavior","volume":"166 ","pages":"Article 110346"},"PeriodicalIF":2.3,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143535237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Health priorities and treatment preferences of adults with epilepsy: A narrative literature review with a systematic search","authors":"Chloé E. Hill ,&nbsp;Kathryn Vanderboll ,&nbsp;Jack M. Parent ,&nbsp;Lesli E. Skolarus ,&nbsp;Darin B. Zahuranec","doi":"10.1016/j.yebeh.2025.110359","DOIUrl":"10.1016/j.yebeh.2025.110359","url":null,"abstract":"<div><div>The care of people with epilepsy can be complex. Seizure control is a top priority, however there are other important health-related factors that can impact the well-being of a person with epilepsy. Understanding the range of health priorities and treatment preferences is a critical step in facilitating patient-centered care. In this narrative review, we queried four electronic databases with search terms including patient preferences, needs, priorities, and goals. In total, 20 articles met criteria to be included in the review; these included both quantitative and qualitative analyses of patient responses. Key issues identified were a variety of seizure-specific priorities (such as frequency, duration, severity, warning) and non-seizure medical priorities (such as cognition, mood, physical side effects). Support needs (such as psychological support, improved access to health care) and life goals (such as driving, relationships, work) were also prevalent and emphasized. The range of these findings support the importance of querying individual priorities to promote patient-centered care. Additionally, our results demonstrate that non-medical considerations are an important piece of the illness of epilepsy and should be considered in health care encounters as possible to improve patient outcomes and overall well-being.</div></div>","PeriodicalId":11847,"journal":{"name":"Epilepsy & Behavior","volume":"166 ","pages":"Article 110359"},"PeriodicalIF":2.3,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Information on epilepsy genetics available online for people with epilepsy and their families","authors":"Natalie J. Strohmayer ,&nbsp;Itzel A. Camarillo ,&nbsp;Hyunmi Choi ,&nbsp;Ruth Ottman","doi":"10.1016/j.yebeh.2025.110361","DOIUrl":"10.1016/j.yebeh.2025.110361","url":null,"abstract":"<div><h3>Objective</h3><div>To evaluate and compare the types of information available online about epilepsy genetics to people with epilepsy and their family members on websites and social media platforms.</div></div><div><h3>Methods</h3><div>To identify websites, we used the search terms “epilepsy,” “genetic epilepsy,” and “epilepsy genetics” in Google, using Incognito mode. We selected the first ten English, non-sponsored websites for analysis. Websites were then classified according to their target audience (healthcare professionals vs. lay persons), and as epilepsy-specific or not and genetic-focused or not. On YouTube, X, Facebook, and TikTok, we searched using the terms “epilepsy” and “genetic epilepsy.” Posts were assessed for genetic-related themes, and the frequency of discussion was recorded.</div></div><div><h3>Results</h3><div>Among 31 websites assessed, only one did not discuss genetics in any capacity. However, many sources did not expand upon the potential role of genetics in epilepsy, and genetic testing was not frequently discussed. On social media, epilepsy genetics was more frequently discussed using a more specific search term, “genetic epilepsy” than using “epilepsy.” In posts that addressed genetics, the importance of genetic testing was the most frequent topic discussed. Other complexities, including offspring epilepsy risk, mode of inheritance, genetic heterogeneity, and variable expressivity, were very seldom discussed. Genetics was more frequently addressed in posts on YouTube and X than in those on Facebook or TikTok.</div></div><div><h3>Significance</h3><div>Online information about epilepsy genetics is difficult to encounter by chance; users must actively seek out this information. While information is available, accessibility and depth of the discussion is limited.</div></div>","PeriodicalId":11847,"journal":{"name":"Epilepsy & Behavior","volume":"166 ","pages":"Article 110361"},"PeriodicalIF":2.3,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unlocking new frontiers in epilepsy through AI: From seizure prediction to personalized medicine","authors":"Majd A. AbuAlrob ,&nbsp;Adham Itbaisha ,&nbsp;Boulenouar Mesraoua","doi":"10.1016/j.yebeh.2025.110327","DOIUrl":"10.1016/j.yebeh.2025.110327","url":null,"abstract":"<div><div>Artificial intelligence (AI) is revolutionizing epilepsy care by advancing seizure detection, enhancing diagnostic precision, and enabling personalized treatment. Machine learning and deep learning technologies improve seizure monitoring, automate EEG analysis, and facilitate tailored therapeutic strategies, addressing the complexities of epilepsy management. However, challenges remain, including issues of model accuracy, interpretability, and applicability across diverse patient populations. Ethical considerations, such as safeguarding patient privacy, ensuring data security, and mitigating algorithmic bias, underscore the importance of responsible AI integration. Collaborative efforts among neurologists, data scientists, and regulatory authorities are critical to refining models, establishing ethical guidelines, and ensuring safe clinical adoption. This review examines AI’s transformative potential, its current limitations, and the multidisciplinary initiatives driving its effective implementation in epilepsy care.</div></div>","PeriodicalId":11847,"journal":{"name":"Epilepsy & Behavior","volume":"166 ","pages":"Article 110327"},"PeriodicalIF":2.3,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143535168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predictors of status epilepticus among older adults – a prospective real-world study","authors":"Telma Assis ,&nbsp;Luan Côrtes ,&nbsp;Silas Santana ,&nbsp;Aroldo Bacellar","doi":"10.1016/j.yebeh.2025.110329","DOIUrl":"10.1016/j.yebeh.2025.110329","url":null,"abstract":"<div><div>Data on status epilepticus (SE) in older inpatients is limited.</div></div><div><h3>Aim</h3><div>To assess SE characteristics and etiologies, and <del>i</del>dentify risk factors for SE in a cohort of hospitalized patients.</div></div><div><h3>Methods</h3><div>We selected patients aged <span><math><mrow><mo>≥</mo></mrow></math></span> 60 years with late-onset seizures from a tertiary center. We analyzed demographics, clinical characteristics, etiology of seizures, neurological diseases, and comorbidities. We performed the Kaplan-Meier analysis to examine acute symptomatic and unprovoked seizures and multivariate logistic regression to identify risk factors for SE.</div></div><div><h3>Results</h3><div>We enrolled 236 patients (mean age: 77.1 ± 9.7 years [SD]) with acute symptomatic seizures, unprovoked seizures and both. SE occurred in 61 (25.8 %) patients. The mean age at the first-ever seizure was 76.5 ± 9.8 years. Females comprised 62.3 % of the patients in the SE group. Convulsive SE was the most common presentation (80.3 %). Cerebrovascular disorders were the most common etiology (27.9 %) among patients with SE. The likelihood of SE occurring was similar between patients with acute symptomatic seizures alone or in combination with unprovoked seizures (118/50 %), and those with unprovoked seizures (118/50 %). Dyslipidemia negatively correlated with SE (OR 0.45 [95 % CI, 0.24–0.85]; p = 0.014), perhaps due to statin use. Psychiatric disorders (OR 2.76 [95 % CI, 1.45–5.24]; <em>p</em> = 0.002;), sepsis (OR 2.33 [95 % CI, 1.13–4.79]; <em>p</em> = 0.021), and congestive heart failure (OR 2.95 [95 % CI,1.07–8.12]; <em>p</em> = 0.036) were risk factors for SE.</div></div><div><h3>Conclusion</h3><div>We identified older inpatients who developed SE, their characteristics, and the risk factors for developing SE.</div></div>","PeriodicalId":11847,"journal":{"name":"Epilepsy & Behavior","volume":"165 ","pages":"Article 110329"},"PeriodicalIF":2.3,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143511529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Chronic outcomes after mild-moderate traumatic brain injury in adult seizure-prone (FAST) and seizure-resistant (SLOW) rats: A model for understanding genetic contributions to acquired epileptogenesis?","authors":"Wai Lam Leung ,&nbsp;Ali Shad ,&nbsp;Piero Perucca ,&nbsp;Terence J. O’Brien ,&nbsp;Bridgette D. Semple ,&nbsp;Pablo M. Casillas-Espinosa","doi":"10.1016/j.yebeh.2025.110347","DOIUrl":"10.1016/j.yebeh.2025.110347","url":null,"abstract":"<div><div>Post-traumatic epilepsy (PTE) is a common, serious, long-term complication of traumatic brain injury (TBI). However, only a minority of individuals will develop epilepsy after a TBI, and the contribution of genetic predisposition to the risk of acquired epilepsy warrants further exploration. In this study, we examined whether innate, genetically determined differences in seizure susceptibility between seizure-prone FAST and seizure-resistant SLOW rat strains would influence chronic behavioral and PTE outcomes after experimental TBI. We hypothesized that FAST rats would show increased vulnerability to PTE and poorer neurobehavioral outcomes. Using the lateral fluid percussion injury model, we first determined the optimal injury parameters to generate a mild-moderate TBI in young adult FAST rats, which had previously shown high mortality to severe TBI. Then, FAST and SLOW rats underwent TBI or sham surgery, and a series of behavioral tests were performed either acutely (within 4 weeks) or chronically (more than 22 weeks) post-injury. Acutely, FAST rats showed an increased physiological response to TBI with a longer apnea duration, delayed pain response, and delayed self-righting, as well as increased acute seizure-like behavior compared to SLOW rats. Conversely, SLOW rats showed greater neuromotor deficits and weight loss sub-acutely compared to FAST rats. Chronically, while strain-specific phenotypes were observed (e.g., FAST rats showing increased anxiety-like behavior, altered nociceptive responses, and polydipsia), no TBI effects were detected. Analysis of continuous video-electroencephalographic recordings over a 1-month period starting at 6 months post-TBI did not reveal any spontaneous seizures. However, periodic epileptiform discharges were only found in FAST rats that had a TBI. Together, these findings reflect fundamental differences in chronic behavior and epileptiform discharges as a result of innate distinctions in epileptogenic susceptibility in FAST versus SLOW rats. However, a lack of spontaneous seizure activity or chronic neurobehavioral deficits in TBI animals confounded our ability to address the initial hypothesis, such that alternative injury models may be more suitable to study genetic contributions to the development of PTE.</div></div>","PeriodicalId":11847,"journal":{"name":"Epilepsy & Behavior","volume":"166 ","pages":"Article 110347"},"PeriodicalIF":2.3,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143519765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation of the relationship between Body Mass Index and epilepsy","authors":"Yu-xuan Li ,&nbsp;Ruo-xia Chen ,&nbsp;Xue-rui Lv ,&nbsp;Qiang Zi ,&nbsp;Fu-mei Zhang ,&nbsp;Yun Li","doi":"10.1016/j.yebeh.2025.110295","DOIUrl":"10.1016/j.yebeh.2025.110295","url":null,"abstract":"<div><h3>Objective</h3><div>To examine the clinical characteristics and influencing factors among epilepsy patients with varying Body Mass Index (BMI), and to propose new approaches for the prevention and treatment of epilepsy.</div></div><div><h3>Methods</h3><div>A total of 250 adult patients, newly diagnosed with epilepsy and not yet treated with antiepileptic drugs at the First Affiliated Hospital of Dali University between January 2017 and December 2022, were randomly selected as the experimental group. Additionally, 250 healthy individuals from the same period served as the control group to investigate the relationship between BMI and epilepsy. Univariate analysis and ordered multiple logistic regression were used to further identify factors influencing BMI in patients with epilepsy.</div></div><div><h3>Results</h3><div>A significant difference in BMI was found between adults newly diagnosed with epilepsy who had not yet used antiepileptic drugs, and healthy individuals (<em>P</em> = 0.001). The obesity rate was higher in epilepsy patients (20.4 %) compared to healthy adults (9.6 %).The ordered multiple logistic regression analysis revealed that gender(<em>P</em> = 0.003), age(<em>P</em> = 0.029), nation(<em>P</em> = 0.008), occupation(<em>P</em> &lt; 0.001), etiology(<em>P</em> = 0.001), NLR(<em>P</em> = 0.022), and SIRI(<em>P</em> = 0.008) were all significant factors influencing BMI in epilepsy patients.</div></div><div><h3>Conclusion</h3><div>People with epilepsy are more likely to also be obese and is associated with factors such as gender, age, nation, occupation, etiology, and inflammatory markers. In clinical practice, it is essential to monitor and manage BMI in epilepsy patients, identify preventable risk factors, and ultimately enhance treatment outcomes and quality of life.</div></div>","PeriodicalId":11847,"journal":{"name":"Epilepsy & Behavior","volume":"165 ","pages":"Article 110295"},"PeriodicalIF":2.3,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143511528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Epilepsy management in primary healthcare: Knowledge, attitudes, and practices among health professionals in Palestine","authors":"Abeer Ghanayem ,&nbsp;Hussein Hallak","doi":"10.1016/j.yebeh.2025.110345","DOIUrl":"10.1016/j.yebeh.2025.110345","url":null,"abstract":"<div><h3>Background</h3><div>Primary healthcare practitioners play a key role in the comprehensive care of epilepsy. People with epilepsy require suitable guidance for self-management to enhance their health and well-being. The aim was to evaluate knowledge, attitudes, and practices about epilepsy management among the primary healthcare professionals.</div></div><div><h3>Methods</h3><div>Cross-sectional quantitative research was employed. Healthcare professionals working in primary healthcare clinics completed an online, self-administered questionnaire between April and June 2024.</div></div><div><h3>Results</h3><div>Three hundred valid questionnaires were analyzed. Healthcare professionals demonstrated moderate knowledge, favorable attitudes, and proactive practices in epilepsy management. Pearson’s correlation revealed a significant negative relationship between practices and knowledge (r = -0.170, p &lt; 0.01) and a positive association with attitudes (r = 0.279, p &lt; 0.01). Multivariate analysis showed that knowledge were negatively correlated with gender and specialty but positively with educational degree (OR = 0.640, 95 % CI: 1.260–0.020, p = 0.043; OR = 1.970, 95 % CI: 2.841–0.099, p &lt; 0.001). Attitudes were positively associated with age (OR = 2.552, 95 % CI: 0.974–4.130, p = 0.002) and years of experience (OR = 2.387, 95 % CI: 0.546–4.227, p = 0.011).</div></div><div><h3>Conclusions</h3><div>Findings indicate gaps in epilepsy knowledge, attitudes, and practices. The study underscores the need for comprehensive training initiatives in Palestine to enhance epilepsy management in primary healthcare settings.</div></div>","PeriodicalId":11847,"journal":{"name":"Epilepsy & Behavior","volume":"166 ","pages":"Article 110345"},"PeriodicalIF":2.3,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}