Objective: Compare the prevalence and severity of anxiety and depression among people with epilepsy (PWE) evaluated by telemedicine during the initial stages of the COVID-19 pandemic and follow up on their status 15 months later.
Methods: We conducted a prospective, observational, and analytical study at the Epilepsy Clinic of the National Institute of Neurology and Neurosurgery (NINN) in Mexico City during the COVID-19 pandemic. HADS-A and HADS-D instruments were administered to adult patients diagnosed with epilepsy, initially through telemedicine and later through in-person visits or phone calls after one year.
Results: A sample of 115 patients was obtained, with 62.5% being women. The mean age of the patients was 33.6 years (± 12), and the mean age of epilepsy onset was 16.82 years (± 13.82). The majority of patients had focal epilepsy (78.3%), and only 42% reported being seizure-free. The results from the HADS-A scale showed that 48.69% of the patients had anxiety. On the HADS-D scale, 29.56% of the patients were found to have depression. At follow-up, the HADS-A results indicated that 50.64% of the patients had anxiety, and the HADS-D results showed that 36.36% had depression. An analysis of associations between sociodemographic or clinical variables and the presence of anxiety and/or depression in PWE revealed no statistically significant results, except for the clinical variable of patients taking anxiolytic or antidepressant medications during the assessment. These patients had lower HADS-A and HADS-D scores, with a statistically significant p-value of 0.0001.
Significance: Comparing these findings with a previously published paper by our group showed a significant increase in both depression and anxiety, which were already prevalent in the earlier study. In conclusion, PWE exhibited high levels of anxiety and depression during and one year after the pandemic, despite receiving appropriate treatment. These symptoms, present before the pandemic, have been further exacerbated and continue to persist.
Plain Language Summary: This study examined anxiety and depression in patients with epilepsy (PWE) during the COVID-19 pandemic at the National Institute of Neurology and Neurosurgery in Mexico. Using the HADS-A and HADS-D scales, 115 patients were assessed over a year. Results showed that 48.69% had anxiety and 29.56% had depression, with both increasing to 50.64% and 36.36%, respectively, after one year. The only significant finding was that patients on anxiolytic or antidepressant medication had lower scores for anxiety and depression. The study concludes that anxiety and depression in PWE worsened during the pandemic and persisted despite treatment.
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http://dx.doi.org/10.1002/epi4.13097 | DOI Listing |
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 PDFPsychol 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).
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 PDFFront 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.
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.
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