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Panahi P, Zafardoust H, Mirzohreh ST, Khamnian Z, Alizadeh M. The study of mental health status of people with epilepsy during the COVID-19 pandemic: A systematic review and meta-analysis study. Epilepsy Behav 2024; 157:109834. [PMID: 38852496 DOI: 10.1016/j.yebeh.2024.109834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 05/07/2024] [Accepted: 05/08/2024] [Indexed: 06/11/2024]
Abstract
INTRODUCTION The COVID-19 pandemic has affected the lives of people with epilepsy (PWE) in various ways. This systematic review and meta-analysis aims to assess the mental health status and prevalence of mental disorders including depression, anxiety, stress, and psychological distress among PWE. Furthermore, this study evaluates changes in sleep patterns and presence of sleep disturbances among them. The findings of this systematic review can help health organizations, policymakers, and health workers to better prepare and respond to future health crises for PWE and other chronic disease patients. METHOD This systematic review was prepared using PRISMA reporting guidelines. We systematically searched PubMed, Web of Science, Scopus and Cochrane Library databases for studies that reported data on mental health parameters including depression, anxiety, stress, psychological distress, quality of life, and sleep quality, during the pandemic until May 2023. The analytical procedures were executed through the utilization of Comprehensive Meta-Analysis (CMA) software. RESULTS In our study, a total of 61 carefully selected studies were analyzed, yielding valuable insights into the prevalence and impact of various mental health indicators among PWE. The findings revealed that a significant proportion of PWE experienced distressing psychological symptoms, with depression being reported by 34% of participants. Additionally, anxiety was prevalent among 43% of individuals, while stress symptoms were reported by 49% of respondents. Moreover, a substantial portion of PWE, approximately 38%, reported experiencing poor sleep quality, further underscoring the multifaceted nature of the challenges faced by this population. These findings highlight the need for targeted interventions and comprehensive support systems to address the mental health concerns and sleep disturbances faced by individuals living with epilepsy. CONCLUSION The findings revealed that a substantial number of PWE experience symptoms of depression, anxiety, stress, and poor sleep quality. These results emphasize the importance of considering mental health and sleep assessments as integral components of care for individuals with epilepsy. The study underscores the need for further research and targeted interventions to address the mental health burden faced by this population. By prioritizing and addressing these challenges, healthcare providers can enhance the overall well-being and quality of life for individuals living with epilepsy.
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Affiliation(s)
| | | | | | - Zhila Khamnian
- Department of Community Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mahasti Alizadeh
- Faculty of Medicine, Social Determinants of Health Research Center, Tabriz University of Medical Sciences, Iran.
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Rong G, Zheng Y, Yang X, Bao K, Xia F, Ren H, Bian S, Li L, Zhu B, Sawan M. A Closed-Loop Approach to Fight Coronavirus: Early Detection and Subsequent Treatment. BIOSENSORS 2022; 12:900. [PMID: 36291037 PMCID: PMC9599914 DOI: 10.3390/bios12100900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 10/12/2022] [Accepted: 10/14/2022] [Indexed: 06/16/2023]
Abstract
The recent COVID-19 pandemic has caused tremendous damage to the social economy and people's health. Some major issues fighting COVID-19 include early and accurate diagnosis and the shortage of ventilator machines for critical patients. In this manuscript, we describe a novel solution to deal with COVID-19: portable biosensing and wearable photoacoustic imaging for early and accurate diagnosis of infection and magnetic neuromodulation or minimally invasive electrical stimulation to replace traditional ventilation. The solution is a closed-loop system in that the three modules are integrated together and form a loop to cover all-phase strategies for fighting COVID-19. The proposed technique can guarantee ubiquitous and onsite detection, and an electrical hypoglossal stimulator can be more effective in helping severe patients and reducing complications caused by ventilators.
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Affiliation(s)
- Guoguang Rong
- CenBRAIN Neurotech, School of Engineering, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou 310030, China
- School of Engineering, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou 310030, China
- Institute of Advanced Study, Westlake Institute for Advanced Study, Hangzhou 310024, China
| | - Yuqiao Zheng
- CenBRAIN Neurotech, School of Engineering, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou 310030, China
- School of Engineering, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou 310030, China
- Institute of Advanced Study, Westlake Institute for Advanced Study, Hangzhou 310024, China
| | - Xi Yang
- CenBRAIN Neurotech, School of Engineering, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou 310030, China
- School of Engineering, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou 310030, China
- Institute of Advanced Study, Westlake Institute for Advanced Study, Hangzhou 310024, China
| | - Kangjian Bao
- School of Engineering, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou 310030, China
- Institute of Advanced Study, Westlake Institute for Advanced Study, Hangzhou 310024, China
| | - Fen Xia
- CenBRAIN Neurotech, School of Engineering, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou 310030, China
- School of Engineering, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou 310030, China
- Institute of Advanced Study, Westlake Institute for Advanced Study, Hangzhou 310024, China
| | - Huihui Ren
- School of Engineering, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou 310030, China
- Institute of Advanced Study, Westlake Institute for Advanced Study, Hangzhou 310024, China
| | - Sumin Bian
- CenBRAIN Neurotech, School of Engineering, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou 310030, China
- School of Engineering, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou 310030, China
- Institute of Advanced Study, Westlake Institute for Advanced Study, Hangzhou 310024, China
| | - Lan Li
- School of Engineering, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou 310030, China
- Institute of Advanced Study, Westlake Institute for Advanced Study, Hangzhou 310024, China
| | - Bowen Zhu
- School of Engineering, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou 310030, China
- Institute of Advanced Study, Westlake Institute for Advanced Study, Hangzhou 310024, China
| | - Mohamad Sawan
- CenBRAIN Neurotech, School of Engineering, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou 310030, China
- School of Engineering, Westlake University, 600 Dunyu Road, Xihu District, Hangzhou 310030, China
- Institute of Advanced Study, Westlake Institute for Advanced Study, Hangzhou 310024, China
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