Self-isolation, psychotic symptoms and cognitive problems during the COVID-19 worldwide outbreak.
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ABSTRACT:
SUBMITTER: Alle MC
PROVIDER: S-EPMC8131183 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:To date, there have been no detailed reports of patients developing persistent psychotic symptoms following Coronavirus disease 2019 (COVID-19) infection. There have been reports of patients developing transient delirium (with and without hypoxia) after COVID-19 infection as well as other neurological manifestations. We report on a female patient who, post-COVID-19 infection, developed an initial delirium followed by persistent and florid psychotic symptoms consisting of persecutory delusion, complex visual and auditory hallucinations and Capgras phenomenon in the absence of hypoxia but elevated tumour necrosis factor (TNF)-?. The psychotic symptoms persisted for about 40 days. Her magnetic resonance imaging brain scan, electroencephalogram, cerebrospinal fluid examination and extensive autoimmune panel did not show any abnormalities. The cause of the psychotic symptoms in this patient were not ascertained but we propose either an inflammatory state, characterised by the patient's elevated TNF-alpha levels as a possible contributing mechanism for her psychosis in line with the proinflammatory changes observed in some cases of psychosis. Or, an alternative, but unproven, hypothesis is one of an antibody-mediated encephalitic event induced by viral infection.
| S-EPMC7477483 | biostudies-literature
Project description:Background:Self-isolation is an important personal protective measure in inhibiting the transmission of coronavirus disease 2019 (COVID-19) as people carry out economic and social activities amid its spread. Yet few studies have clarified the actual implementation status of self-isolation during an outbreak. This study aimed to reveal the actual implementation of self-isolation among Japanese workers during the COVID-19 outbreak and the factors inhibiting this measure. Methods:This was a cross-sectional study based on an internet survey completed by 1,226 workers (60.0% men) living in 7 prefectures (i.e., Tokyo, Kanagawa, Saitama, Chiba, Ibaraki, Tochigi, and Gunma) who were selected among registrants of an Internet research company, between May 12 and 17, 2020. Participants were asked whether they had experienced fever or other cold symptoms between February 17, 2020 and the date of the survey. Those who responded affirmatively were asked where they had visited (e.g., hospital, work, and shopping for groceries or necessities) to clarify whether they had left the house within 7 days after symptom onset. We performed multivariate logistic regression analysis to clarify the relationship between going to work within 7 days after symptom onset and both sociodemographic factors and employment-related constraints. Results:Of the survey participants, 82 had experienced fever or other cold symptoms (6.7%). Among these participants, 51 (62.2%) went to work within 7 days after symptom onset. A mere 17.1% practiced strict self-isolation. Multivariate logistic regression analysis revealed that those living outside the metropolitan area (i.e., Ibaraki, Tochigi, and Gunma), working as a company employee, and being unable to work from home were associated with going to work within 7 days after symptom onset. Conclusions:The prevalence of strict self-isolation among participants who experienced cold-like symptoms during the COVID-19 outbreak was extremely low, and 62.2% of these participants went to work within 7 days after symptom onset. This study highlights the need for further public awareness regarding self-isolation and countermeasures against factors that obstruct it.
| S-EPMC7396451 | biostudies-literature
Project description:Analysis of COVID-19 hospitalized patients, with different kind of symptoms, by human rectal swabs collection and 16S sequencing approach.
2022-09-22 | E-MTAB-12236 | biostudies-arrayexpress
Project description:We compared the diagnostic efficiency of the Child Behavior Checklist (CBCL) Thought Problems subscale and the rationally derived DSM-oriented psychotic symptoms scale (DOPSS) to identify clinically concerning psychosis in a multi-site sample of youths seeking outpatient mental health services (N?=?694). We operationally defined clinically concerning psychosis as the presence of clinically significant hallucinations or delusions, assessed by the Schedule for Affective Disorders and Schizophrenia psychosis items. Both the Thought Problems and DOPSS scores showed significant areas under the curve (AUCs?=?0.65 and 0.70, respectively), but the briefer DOPSS showed statistically significantly better diagnostic efficiency for any clinically concerning psychosis, but the difference was small enough that it would not be clinically meaningful. The optimal psychosis screening cut-off score (maximizing sensitivity and specificity) was 68.5+ [corresponding diagnostic likelihood ratio (DiLR)?=?1.59] for the Thought Problems subscale and 1.67+ (DiLR?=?1.97) for the DOPSS. Both the CBCL Thought Problems and DOPSS are clinically useful for identifying psychotic symptoms in children, and although the DOPSS showed statistically better discriminating power, the difference was small so we would not necessarily recommend the DOPSS over standard scoring.
| S-EPMC6148419 | biostudies-literature
Project description:BackgroundLittle is known about the prevalence of and risk factors for adolescent mental health problems during the COVID-19 outbreak. We aimed to investigate the prevalence of depressive symptoms, their association with study-relevant problems, and the moderating effect of parent-child relationship among Chinese adolescents during the school closures.MethodsWe performed a cross-sectional analysis with data collected in middle and high schools in Taizhou, China. Students completed an online survey between April 16 and May 14, 2020. Depressive symptoms were assessed using the Children's Depression Inventory. Three types of study problems were recorded, including having difficulty in studying at home, dislike of remote learning, and excessive screen entertainment time. Parental relationships were categorized into good or normal relationship and poor relationship. Linear regression and logistic regression analyses were conducted to investigate the associations between study-relevant problems and depressive symptoms.ResultsUsing data from 6435 adolescents, we found that the prevalence of depressive symptoms was 17.7%. All the study problem measures were associated with more severe depressive symptoms. There was a moderating effect of the parental relationship on the associations between study problems and depressive symptoms. The association between number of study problems and depressive symptoms was stronger in adolescents with a poor parent-child relationship (regression coefficient 4.34 [95% CI 2.97, 5.72]) than those with a good or normal relationship (2.55 [2.35, 2.75]), p for interaction 0.002, on multivariable adjustment.ConclusionsStudy problems due to school closures were particularly problematic for adolescents who had poor parent-child relationships. Public health initiatives could help students to adjust study habits and improve parent-child relationships, thereby protecting against the development of depression.
| S-EPMC8022312 | biostudies-literature
Project description:Perceived social isolation during the COVID-19 pandemic significantly has had an extraordinary global impact, with significant psychological consequences. Changes in our daily lives, feeling of loneliness, job losses, financial difficulty, and grief over the death of loved ones have the potential to affect the mental health of many. In an atmosphere of uncertainty, it is essential that clear and precise information is offered about the problem and how to manage it. In this contribution, a rationale is provided for an urgent call for a rapid response to the mental health impacts of COVID-19. Moreover, suggestions for individuals to regulate their emotions effectively and appropriately are provided.
| S-EPMC7513674 | biostudies-literature
Project description:Background and aimRecently, the availability and usefulness of mobile self-help mental health applications have increased, but few applications deal with COVID-19-related psychological problems. This study explored the intervention efficacy of a mobile application on addressing psychological problems related to COVID-19.MethodsA longitudinal control trial involving 129 Chinese participants with depression symptoms was conducted through the mobile application "Care for Your Mental Health and Sleep during COVID-19" (CMSC) based on WeChat. Participants were divided into two groups: mobile internet cognitive behavioral therapy (MiCBT) and wait-list. The primary outcome was improvement in depression symptoms. Secondary outcomes included improvement in anxiety and insomnia. The MiCBT group received three self-help CBT intervention sessions in one week via CMSC.ResultsThe MiCBT group showed significant improvement in depression and insomnia (allP < 0.05) compared with the wait-list group. Although both groups showed significant improvement in anxiety at the intervention's end, compared with the wait-list group, the MiCBT group had no significant advantage. Correlation analysis showed that improvement in depression and anxiety had a significant positive association with education level. Changes in insomnia were significantly negatively correlated with anxiety of COVID-19 at the baseline. CMSC was considered helpful (n=68, 81.9 %) and enjoyable (n=54, 65.9 %) in relieving depression and insomnia during the COVID-19 outbreak.ConclusionsCMSC is verified to be effective and convenient for improving COVID-19-related depression and insomnia symptoms. A large study with sufficient evidence is required to determine its continuous effect on reducing mental health problems during the pandemic.
| S-EPMC8047334 | biostudies-literature
Project description:The Covid-19 outbreak has triggered a global crisis that is challenging governments, health systems and the scientific community worldwide. A central question in the Covid-19 pandemic is whether climatic factors have influenced its progression. To address this question, we used mortality rates during the first three weeks of recorded mortality in 144 countries, during the first wave of the pandemic. We examined the effect of climatic variables, along with the proportion of the population older than 64 years old, the number of beds in hospitals, and the timing and strength of the governmental travel measures to control the spread of the disease. Our first model focuses on air temperature as the central climatic factor and explains 67% of the variation in mortality rate, with 37% explained by the fixed variables considered and 31% explained by country-specific variations. We show that mortality rate is negatively influenced by warmer air temperature. Each additional Celsius degree decreases mortality rate by ~5%. Our second model is centred on the UV Index and follows the same trend as air temperature, explaining 69% of the variation in mortality rate. These results are robust to the exclusion of countries with low incomes, as well as to the exclusion of low- and medium-income countries. We also show that the proportion of vulnerable age classes and access to healthcare are critical factors impacting the mortality rate of this disease. The effects of air temperature at an early stage of the Covid-19 outbreak is a key factor to understand the primary spread of this pandemic, and should be considered in projecting subsequent waves.
| S-EPMC8178938 | biostudies-literature
Project description:Huge citizens expose to social media during a novel coronavirus disease (COVID-19) outbroke in Wuhan, China. We assess the prevalence of mental health problems and examine their association with social media exposure. A cross-sectional study among Chinese citizens aged?18 years old was conducted during Jan 31 to Feb 2, 2020. Online survey was used to do rapid assessment. Total of 4872 participants from 31 provinces and autonomous regions were involved in the current study. Besides demographics and social media exposure (SME), depression was assessed by The Chinese version of WHO-Five Well-Being Index (WHO-5) and anxiety was assessed by Chinese version of generalized anxiety disorder scale (GAD-7). multivariable logistic regressions were used to identify associations between social media exposure with mental health problems after controlling for covariates. The prevalence of depression, anxiety and combination of depression and anxiety (CDA) was 48.3% (95%CI: 46.9%-49.7%), 22.6% (95%CI: 21.4%-23.8%) and 19.4% (95%CI: 18.3%-20.6%) during COVID-19 outbroke in Wuhan, China. More than 80% (95%CI:80.9%-83.1%) of participants reported frequently exposed to social media. After controlling for covariates, frequently SME was positively associated with high odds of anxiety (OR = 1.72, 95%CI: 1.31-2.26) and CDA (OR = 1.91, 95%CI: 1.52-2.41) compared with less SME. Our findings show there are high prevalence of mental health problems, which positively associated with frequently SME during the COVID-19 outbreak. These findings implicated the government need pay more attention to mental health problems, especially depression and anxiety among general population and combating with "infodemic" while combating during public health emergency.
| S-EPMC7162477 | biostudies-literature