Psychological/psychiatric impact of the novel coronavirus outbreak: lessons learnt from China and call for timely crisis interventions in Italy

2020 ◽  
Author(s):  
Patrizia Zeppegno ◽  
Carla Gramaglia ◽  
Chiara Guerriero ◽  
Fabio Madeddu ◽  
Raffaella Calati
Keyword(s):  
Mental Health ◽  
Migrant Workers ◽  
Mental Health Problems ◽  
Virus Disease ◽  
Selection Process ◽  
Psychiatric Patients ◽  
Homeless People ◽  
World Health ◽  
Rapid Review ◽  
Post Traumatic Stress

Background: The World Health Organization declared the Corona Virus Disease 19 (Covid-19) a pandemic in March 2020. Psychological impact of Covid-19 can be consisent and should be prevented with adequate measures. Methods: We performed a literature mini review searching for studies in PubMed focusing on the psychological/psychiatric impact of Covid-19.Results: The selection process yielded 34 papers focusing on the relation between Covid-19 and mental health: 9 correspondence, 8 letters to the editor, 7 commentaries, 3 editorials, 4 original studies, 2 brief reports, and 1 a rapid review. The majority of the articles were performed in China. They focused on the general population and particular categories considered more fragile, e.g., psychiatric patients, older adults, international migrant workers, homeless people. Authors are unanimous in believing that Covid-19 will likely increase the risk of mental health problems and worsen existing psychiatric disorders/symptoms in patients, exposed subjects, and staff. Together with the negative emotionality related to the unpredictability of the situation, uncertainty concerning the risk, excessive fear, fear of death, loneliness, guilt, stigma, denial, anger, frustration, boredome, some symptoms might appear such as insomnia until patophobia (specifically, coronaphobia), depressive and anxiety disorders, post-traumatic stress disorder, and suicidal risk.Limitations: Literature is rapidly increasing and present results are only partial. Conclusions: Mental health care should not be overlooked in this moment. The experience of China should be of help for all the countries facing with Covid-19, among them Italy.

Psychiatric morbidity in December 2015 flood-affected population in Tamil Nadu, India

2019 ◽  
Vol 65 (4) ◽  
pp. 338-344 ◽  
Author(s):  
Shailaja Bandla ◽  
NR Nappinnai ◽  
Srinivasagopalan Gopalasamy
Keyword(s):  
Mental Health ◽  
Tamil Nadu ◽  
Mental Health Problems ◽  
Negative Impact ◽  
Psychiatric Morbidity ◽  
Well Being ◽  
World Health ◽  
Post Traumatic Stress ◽  
Chi Square ◽  
Health Organization

Background: Floods are the most common type of natural disaster, which have a negative impact on mental health. Following floods, survivors are vulnerable to develop PTSD (post-traumatic stress disorder), depression, anxiety and other mental health problems. Aim: The aim is to study the psychiatric morbidity in the persons affected by floods during December 2015. Materials and methods: This study was carried out in Chennai and Cuddalore. In total, 223 persons who were directly exposed to floods were assessed. PTSD Checklist–Civilian Version, Beck’s Depression Inventory, Beck’s Anxiety Inventory and World Health Organization–Five Well-Being Scale (WHO-5) were used in the study. Chi-square test was used to compare the means. Results: Overall, psychiatric morbidity was found to be 45.29%; 60 (26.9%) persons had symptoms of PTSD. Anxiety was found in 48 (27.4%) and depression was found in 101 (45.29%) persons; and 11 (4.9%) persons have reported an increase in substance abuse. Conclusion: Following disaster like floods, there is a need for better preparedness in terms of basic necessities and medical and psychological assistance, particularly emphasizing the needs of older persons in order to prevent the development of psychiatric problems.

scholarly journals Cyberchondria Amidst COVID-19 Pandemic: Challenges and Management Strategies

2021 ◽  
Vol 12 ◽  
Author(s):  
Rahul Varma ◽  
Sreeja Das ◽  
Tushar Singh
Keyword(s):  
Mental Health ◽  
Virus Disease ◽  
Management Strategies ◽  
Well Being ◽  
World Health ◽  
The Internet ◽  
Post Traumatic Stress ◽  
Related Information ◽  
Health Related ◽  
Health Organization

The corona-virus disease 2019 (COVID-19), first found in Wuhan, China in December 2019, has posed an inexplicable threat to the global community. After its inception, the virus proliferated rapidly, which led to the cause of millions of deaths, and having a detrimental effect on physical health, social lives, economic uncertainty, and mental health of people. The World Health Organization has reported that there are 111 million confirmed cases of COVID-19 and 2.45 million deaths due to COVID-19 worldwide. Indisputably, the present pandemic has contributed to the extensive psychological and environmental distress together with clinical depression, anxiety and post-traumatic stress disorder (PTSD), domestic violence, and unemployment. Due to the ambiguous nature of the pandemic, educational organizations, and outdoor activities are closed, thus burdening the mental health of younger populations. Children as well as youths are more glued to the Internet for their studies, online gaming, shopping, watching movies, and searching health-related information. Despite the advantages of using the Internet, it has some severe consequences too. Some people are repeatedly searching for physical and mental well-being related information without verifying credible sources, which, in turn, causes distress and anxiety. In such situations, individuals may end up contributing to an illness known as cyberchondria. In this paper, we have tried to highlight the problematic use of Internet for health-related searches and have outlined the management of such illness. We suggest two strategies: firstly, to reduce repeated online searches of health information and, secondly, to manage anxiety-augmenting thoughts that are triggered due to the maladaptive thoughts caused by the abstruse information.

Impact of simple conventional and Telehealth solutions on improving mental health in Afghanistan

2016 ◽  
Vol 22 (8) ◽  
pp. 495-498 ◽  
Author(s):  
Shariq Khoja ◽  
Richard Scott ◽  
Nida Husyin ◽  
Hammad Durrani ◽  
Maria Arif ◽  
...  
Keyword(s):  
Mental Health ◽  
Access To Care ◽  
Health Knowledge ◽  
Mental Health Problems ◽  
World Health ◽  
Preliminary Evaluation ◽  
Post Traumatic Stress ◽  
Remote Communities ◽  
Community Healthcare ◽  
The Government

For more than a century Afghanistan has been unstable, facing decades of war, social problems, and intense poverty. As a result, many of the population suffer from a variety of mental health problems. The Government recognises the situation and has prioritised mental health, but progress is slow and services outside of Kabul remain poor. An international collaborative implemented a project in Badakshan province of Afghanistan using conventional and simple low-cost e-Health solutions to address the four most common issues: depression, psychosis, post-traumatic stress disorder, and substance abuse. Conventional town hall meetings informed community members to raise awareness and knowledge. In addition, an android-based mobile application used the World Health Organization’s Mental Health Gap Action Programme guidelines and protocols to: collect information from community healthcare workers; provide referral services to patients; provide blended learning to improve providers’ mental health knowledge, skills, and practice; and to provide store-and-forward and live consultations. Preliminary evaluation of the intervention shows enhanced access to care for remote communities, decreased stigma, and improved quality of health services. Primary care workers are also able to bridge the gap in consultations for rural and remote communities, connecting them with specialists and providing better access to care.

scholarly journals An Explainable Machine Learning Approach for COVID-19 Impact on Mood State of Children and Adolescents during the 1st Lockdown in Greece

2021 ◽  
Author(s):  
Charis Ntakolia ◽  
Dimitrios Priftis ◽  
Mariana Charakopoulou-Travlou ◽  
Ioanna Rannou ◽  
Konstantina Magklara ◽  
...  
Keyword(s):  
Mental Health ◽  
Machine Learning ◽  
Children And Adolescents ◽  
Mental Health Problems ◽  
Mood State ◽  
Selection Process ◽  
World Health ◽  
Children And Adolescent ◽  
Health Organization ◽  
Almost All

The global spread of COVID-19 led the World Health Organization to declare a pandemic on 11 March 2020. To decelerate this spread, countries have taken strict measures that affected the lifestyle and economy. Various studies have been focused on the identification of COVID-19 impact to mental health of children and adolescents via traditional statistical approaches. However, a machine learning methodology must be developed to explain the main factors that contribute to the change of mood state of children and adolescents during the first lockdown. Therefore, to this study an explainable machine learning pipeline is presented focusing on children and adolescents in Greece, where a strict lockdown was imposed. The target group consists of children and adolescents, recruited from children and adolescent mental health services, who present mental health problems diagnosed before the pandemic. The proposed methodology imposes: (i) data collection via questionnaires; (ii) a clustering process to identify the groups of subjects with amelioration, deterioration and stability to their mood state; (iii) a feature selection process to identify the most informative features that contribute to mood state prediction; (iv) a decision-making process based on an experimental evaluation among classifiers; (v) calibration of the best performing model and (v) a post-hoc interpretation of the features’ impact on the best performing model. The results showed that a blend of heterogeneous features from almost all feature categories is necessary to increase our understanding regarding the effect of COVID-19 pandemic on the mood state of children and adolescents.

scholarly journals Assessing anxiety, depression and insomnia symptoms among Ebola survivors in Africa: A meta-analysis

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246515
Author(s):  
Jeremiah W. Acharibasam ◽  
Batholomew Chireh ◽  
Hayelom G. Menegesha
Keyword(s):  
Mental Health ◽  
Traumatic Stress ◽  
Mental Health Problems ◽  
Virus Disease ◽  
Meta Analysis ◽  
Post Traumatic Stress ◽  
Frontline Workers ◽  
Post Traumatic ◽  
Anxiety Depression ◽  
Insomnia Symptoms

Background During health disaster events such as the current devastating havoc being inflicted on countries globally by the SARS-CoV-19 pandemic, mental health problems among survivors and frontline workers are likely concerns. However, during such health disaster events, stakeholders tend to give more precedence to the socio-economic and biomedical health consequences at the expense of mental health. Meanwhile, studies show that regardless of the kind of disaster/antecedent, all traumatic events trigger similar post-traumatic stress symptoms among survivors, families, and frontline workers. Thus, our study investigated the prevalence of anxiety, depression and insomnia symptoms among survivors of the 2014–2016 Ebola virus disease that plagued the West African sub-region. Methods We systematically retrieved peer-reviewed articles published between 1970 and 2019 from seven electronic databases, including Google Scholar, MEDLINE, PsychInfo, PubMed, Scopus, Springer Link, Web of Science on Ebola and post-traumatic stress disorder symptoms. A comprehensive hand search complemented this literature search. Of the 87 articles retrieved, only 13 met the inclusion criteria for this meta-analysis. Results After heterogeneity, influence, and publication bias analysis, our meta-analysis pooled proportion effects estimates showed a moderate to a high prevalence of anxiety (14%; 99% CI: 0.05–0.30), depression (15%; 99% CI: 0.11–0.21), and insomnia (22%; 99% CI: 0.13–0.36). Effect estimates ranging from (0.13; 99% CI: 0.05, 0.28) through to (0.11; 99% CI: 0.05–0.22), (0.15; 99% CI: 0.09–0.25) through to (0.13; 99% CI: 0.08–0.21) and (0.23; 99% CI: 0.11–0.41) to (0.23; 99% CI: 0.11–0.41) were respectively reported for anxiety, depression and insomnia symptoms. These findings suggest a significant amount of EVD survivors are struggling with anxiety, depression and insomnia symptoms. Conclusion Our study provided the first-ever meta-analysis evidence of anxiety, depression, and insomnia symptoms among EVD survivors, and suggest that the predominant biomedical health response to regional and global health disasters should be complemented with trauma-related mental health services.

scholarly journals An Explainable Machine Learning Approach for COVID-19’s Impact on Mood States of Children and Adolescents during the First Lockdown in Greece

Healthcare ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 149
Author(s):  
Charis Ntakolia ◽  
Dimitrios Priftis ◽  
Mariana Charakopoulou-Travlou ◽  
Ioanna Rannou ◽  
Konstantina Magklara ◽  
...  
Keyword(s):  
Mental Health ◽  
Machine Learning ◽  
Children And Adolescents ◽  
Mental Health Problems ◽  
Mood State ◽  
Selection Process ◽  
World Health ◽  
Children And Adolescent ◽  
Health Organization ◽  
Almost All

The global spread of COVID-19 led the World Health Organization to declare a pandemic on 11 March 2020. To decelerate this spread, countries have taken strict measures that have affected the lifestyles and economies. Various studies have focused on the identification of COVID-19’s impact on the mental health of children and adolescents via traditional statistical approaches. However, a machine learning methodology must be developed to explain the main factors that contribute to the changes in the mood state of children and adolescents during the first lockdown. Therefore, in this study an explainable machine learning pipeline is presented focusing on children and adolescents in Greece, where a strict lockdown was imposed. The target group consists of children and adolescents, recruited from children and adolescent mental health services, who present mental health problems diagnosed before the pandemic. The proposed methodology imposes: (i) data collection via questionnaires; (ii) a clustering process to identify the groups of subjects with amelioration, deterioration and stability to their mood state; (iii) a feature selection process to identify the most informative features that contribute to mood state prediction; (iv) a decision-making process based on an experimental evaluation among classifiers; (v) calibration of the best-performing model; and (vi) a post hoc interpretation of the features’ impact on the best-performing model. The results showed that a blend of heterogeneous features from almost all feature categories is necessary to increase our understanding regarding the effect of the COVID-19 pandemic on the mood state of children and adolescents.

scholarly journals Does the Type of Exposure to Workplace Violence Matter to Nurses’ Mental Health?

Healthcare ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 41
Author(s):  
Farinaz Havaei
Keyword(s):  
Mental Health ◽  
Workplace Violence ◽  
Violence Exposure ◽  
Mental Health Problems ◽  
Survey Methods ◽  
Health Problems ◽  
Cumulative Exposure ◽  
Post Traumatic Stress ◽  
Indirect Exposure ◽  
The Impact

Workplace violence is a prevalent phenomenon in healthcare, particularly among nursing professionals. Exposure to workplace violence may be direct through firsthand involvement, indirect through secondhand witnessing, or both. Even though implications for victims of workplace violence have been well-studied, less is known about the various types of exposure and their effects on nurse mental health. The purpose of this study is to examine the impact of workplace-violence exposure types on the mental health of nurses, while accounting for the intensity of the incident/s. This study employs an exploratory correlational design with survey methods. Nurses from British Columbia (BC), Canada, were invited by the provincial nurses’ union to complete an electronic survey in Fall 2019. A total of 2958 responses from direct-care nurses in acute-care settings were analyzed using logistic regression. The results showed that mental-health problems increased with cumulative exposure; even though nurses with solely indirect exposure to workplace violence did not report greater mental-health problems, those experiencing solely direct exposure, or both direct and indirect exposure, were two to four times more likely to report high levels of post-traumatic stress disorder (PTSD), anxiety, depression and burnout compared to their counterparts with no exposure. There is an urgent need for better mental-health support, prevention policies and practices that take into account the type of workplace-violence exposure.

Trade Unions and the Welfare of Rural-Urban Migrant Workers in China

ILR Review ◽  
2021 ◽  
pp. 001979392110044
Author(s):  
Alison Booth ◽  
Richard Freeman ◽  
Xin Meng ◽  
Jilu Zhang
Keyword(s):  
Mental Health ◽  
Trade Union ◽  
Migrant Workers ◽  
Trade Unions ◽  
Fixed Effects ◽  
Mental Health Problems ◽  
Panel Survey ◽  
Monthly Income ◽  
Work Related ◽  
Urban Migrant

Using a panel survey, the authors investigate how the welfare of rural-urban migrant workers in China is affected by trade union presence at the workplace. Controlling for individual fixed effects, they find the following. Relative to workers from workplaces without union presence or with inactive unions, both union-covered non-members and union members in workplaces with active unions earn higher monthly income, are more likely to have a written contract, be covered by social insurances, receive fringe benefits, express work-related grievances through official channels, feel more satisfied with their lives, and are less likely to have mental health problems.

scholarly journals Mental health law in Saudi Arabia

2018 ◽  
Vol 15 (1) ◽  
pp. 17-19
Author(s):  
Jessica Carlisle
Keyword(s):  
Mental Health ◽  
Saudi Arabia ◽  
Psychiatric Patients ◽  
International Standards ◽  
World Health ◽  
Health Law ◽  
Kingdom Of Saudi Arabia ◽  
Mental Health Law ◽  
The Past ◽  
Health Organization

During the past 30 years the Kingdom of Saudi Arabia has developed an extensive hospital-based mental health system culminating in the passing of a mental health law in 2014. This legislation embodies many of the international standards promoted by the World Health Organization. However, the mechanisms for protecting the human rights of psychiatric patients are neither sufficiently independent nor adequately robust.

scholarly journals Mental health of women and children experiencing family violence in conflict settings: a mixed methods systematic review

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Delan Devakumar ◽  
Alexis Palfreyman ◽  
Amaran Uthayakumar-Cumarasamy ◽  
Nazifa Ullah ◽  
Chavini Ranasinghe ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Outcomes ◽  
Family Violence ◽  
Armed Conflict ◽  
Mental Health Problems ◽  
Health Problems ◽  
Qualitative Studies ◽  
Mental Health Outcomes ◽  
Post Traumatic Stress ◽  
Conflict Settings

Abstract Background Armed conflict has significant impacts on individuals and families living in conflict-affected settings globally. Scholars working to prevent violence within families have hypothesised that experiencing armed conflict leads to an increase in family violence and mental health problems. In this review, we assessed the prevalence of family violence in conflict settings, its association with the mental health of survivors, moderating factors, and the importance of gender relations. Methods Following PRISMA guidelines, we systematically reviewed quantitative and qualitative studies that assessed the prevalence of family violence and the association between family violence and mental health problems, within conflict settings (PROSPERO reference CRD42018114443). Results We identified 2605 records, from which 174 full text articles were screened. Twenty-nine studies that reported family violence during or up to 10 years after conflict were eligible for inclusion. Twenty one studies were quantitative, measuring prevalence and association between family violence and mental health problems. The studies were generally of high quality and all reported high prevalence of violence. The prevalence of violence against women was mostly in the range of 30–40%, the highest reported prevalence of physical abuse being 78.9% in Bosnia and Herzegovina. For violence against children, over three-quarters had ever experienced violence, the highest prevalence being 95.6% in Sri Lanka. Associations were found with a number of mental health problems, particularly post-traumatic stress disorder. The risk varied in different locations. Eight qualitative studies showed how men’s experience of conflict, including financial stresses, contributes to their perpetration of family violence. Conclusions Family violence was common in conflict settings and was associated with mental health outcomes, but the studies were too heterogenous to determine whether prevalence or risk was greater than in non-conflict settings. The review highlights an urgent need for more robust data on perpetrators, forms of family violence, and mental health outcomes in conflict-affected settings in order to help understand the magnitude of the problem and identify potential solutions to address it.

Sign in / Sign up

Export Citation Format

Share Document