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1.
Seizure ; 88: 102-108, 2021 May.
Article in English | MEDLINE | ID: covidwho-1164463

ABSTRACT

OBJECTIVES: To investigate the impact of the COVID-19 outbreak on the behaviours, mental health and seizure control of adult patients with epilepsy (PWE) and to identify the correlation of seizure increase and the COVID-19 outbreak to guide the medical care of individuals with epilepsy during a public health crisis. METHODS: This study was conducted at 28 centres from February 2020 to April 2020. Participants filled out a 62-item online survey including sociodemographic, COVID-19-related, epilepsy-related and psychological variables and were divided into two groups based on whether their seizure frequency increased during the COVID-19 pandemic. Chi-square tests and t-tests were used to test differences in significant characteristics. Multiple logistic regression analyses were used to identify risk factors for seizure worsening. RESULTS: A total of 1,237 adult PWE were enrolled for analysis. Of this sample, 31 (8.33%) patients experienced an increase in seizures during the pandemic. Multivariate logistic regression suggested that feeling nervous about the pandemic (P < 0.05), poor quality of life (P = 0.001), drug reduction/withdrawal (P = 0.032), moderate anxiety during the COVID-19 outbreak (P = 0.046) and non-seizure free before the COVID-19 outbreak (P < 0.05) were independently related to seizure increase during the pandemic. CONCLUSIONS: During the COVID-19 pandemic, PWE with poor quality of life and mental status, as well as AED reduction/withdrawal, were more likely to experience seizure increase. This observation highlights the importance of early identification of the population at high risk of seizure worsening and implementation of preventive strategies during the pandemic.


Subject(s)
COVID-19/psychology , Epilepsy/epidemiology , Quality of Life/psychology , Seizures/epidemiology , Adult , COVID-19/epidemiology , China/epidemiology , Disease Outbreaks , Female , Humans , Male , Pandemics , SARS-CoV-2 , Surveys and Questionnaires
2.
Int J Psychiatry Clin Pract ; 25(2): 109-114, 2021 Jun.
Article in English | MEDLINE | ID: covidwho-646750

ABSTRACT

OBJECTIVES: Coronavirus disease 2019 (COVID-19) first broke-out in Wuhan China in December 2019, and spread throughout the entire country within a short time. This cross-sectional study investigated the prevalence of depression and anxiety and associated risk factors were analysed in patients with COVID-19. METHODS: This single-center cross-sectional study focussed on measuring depression and anxiety using self-report scales. Linear regression was used to determine independent predictors for depression and anxiety. RESULTS: A total of 78 patients who were confirmed to have COVID-19 were enrolled in the study. Prevalence of depression and anxiety symptoms were diagnosed in 35.9% and 38.5% of the patients, respectively. Multivariate linear regression analysis found female gender was an independent predictor for higher depression severity index. Having family members who were diagnosed with COVID-19 and family members who died from COVID-19 were independently associated with higher depression severity index and anxiety score. CONCLUSIONS: Patients with COVID-19 especially those who had family members diagnosed with COVID-19 or died from COVID-19 were more susceptible to depression and anxiety than were other patients. Effective strategies should be pursued to improve the mental health of this patient population.Key pointsPatients with COVID-19 showed a significantly high prevalence of depression and anxiety.Female patients were associated with higher risk of depression.Patients with family members diagnosed as COVID-19 or died from this disease were associated with higher risk of depression and anxiety.


Subject(s)
Anxiety/etiology , COVID-19/psychology , Depression/etiology , Anxiety/epidemiology , China/epidemiology , Cross-Sectional Studies , Depression/epidemiology , Family , Female , Humans , Linear Models , Male , Middle Aged , Prevalence , Psychiatric Status Rating Scales , Risk Factors , Sex Factors
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