scholarly journals The Relationship between Mental Health, Educational Burnout and Strategies for Coping with Stress among Students. A Cross-Sectional Study of Poland

2021 ◽  
Author(s):  
Piotr Długosz
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Regression Analysis ◽  
Coping Strategies ◽  
Satisfaction With Life ◽  
Mental Health Disorders ◽  
Hierarchical Regression ◽  
Coping With Stress ◽  
Hierarchical Regression Analysis ◽  
Health Disorders

Objective The study aims to investigate the risk factors of bad psychosomatic health among students in quarantine during the first wave of the COVID-19 pandemic. Method:The survey was conducted on-line, on a sample of 1,978 respondents in Poland. The study was carried out by the end of the summer semester. The questionnaire was designed in a way which allows for the observation of main risk factors which have impact on the students’ mental health. The variance analysis and the hierarchical regression analysis were used to determine the predictors of mental health. Results:The results indicate that average and high levels of psychosomatic disorders were observed among 61% of respondents. The hierarchical regression analysis has revealed that the main factors influencing the level of mental health disorders were educational burnout, satisfaction with life, strategies for coping with stress and gender. As indicated by the respondents, mental health disorders increase in tandem with educational burnout, the application of emotion-focused coping strategies and the lack of satisfaction with one’s life. Moreover, it was observed that female respondents scored higher on the scale of disorders in comparison to males. Conclusions:The results of research indicate that distance education and negative coping strategies are the main risk factors of mental health disorders among students during the pandemic.

scholarly journals Self-Reported Well-Being Indicators and Case Identification of Common Mental Health Disorders in Routinely Collected Health Data

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Daniel Thompson ◽  
Ann John ◽  
Richard Fry ◽  
Alan Watkins
Keyword(s):  
Mental Health ◽  
Satisfaction With Life ◽  
Well Being ◽  
Mental Health Disorders ◽  
Resource Utilisation ◽  
Individual Response ◽  
Individual Level ◽  
Case Identification ◽  
Health Disorders ◽  
Mental Well Being

IntroductionCommon mental health disorders (CMD) are significant contributors to impaired health and well-being, and drive greater health resource utilisation. Electronic health records (EHR) are increasingly used for case identification of CMD when ascertaining social determinants of mental health. We seek to compare self-reported well-being indicators in groups identified using EHR-based CMD methods. Objectives and ApproachThe National Survey for Wales (NSW) contains self-reported well-being indicators (Warwick Edinburgh Mental Well-being Scale, WEMWBS) recorded annually on ~7,000 individuals. We combined data from two NSWs and linked well-being indicators with Welsh Longitudinal General Practice (WLGP) data within the Secure Anonymised Information Linkage (SAIL) Databank, using individual response dates. We then used WGLP data to algorithmically derive identifiers of CMD cases within survey respondents. This individual-level linkage enables a comparison of NSW responses in CMD and non-CMD cases, and to assess sensitivity and specificity of the current CMD algorithm. ResultsSurvey participants comprised 18,450 adults aged 16+ and living in Wales during 16/17 or 18/19. WEMWBS responses indicate 2,338 (12.6%) participants could be considered possibly depressed, and 2,268 (12.3%) probably depressed with low mental well-being (LMW). For participants with LMW, a 42/58 percentage split is observed between male/female respondents, compared to a 45/55 respective split of those not identified with LMW. Participants with LMW recorded low measures for overall satisfaction with life, 998 (44%) reported a value of 5 or less (/10) compared to 1123 (7%) participants not identified with LMW. Similarly, 828 (37%) participants identified with LMW reported 5 or less (/10) on the life worthwhile index, compared to 800 (5%) of non-LMW participants. Conclusion / ImplicationsLinkage to the NSW provides a rich data source to compare objective well-being to algorithmically derived CMD cases from routinely collected primary care data. The individual-level linkage involved will allow for the wider determinants of mental health disorders to be examined.

scholarly journals Mental Health Disorders in Nurses During the COVID-19 Pandemic: Implications and Coping Strategies

2021 ◽  
Vol 9 ◽  
Author(s):  
Brittney Riedel ◽  
Sydney R. Horen ◽  
Allie Reynolds ◽  
Alireza Hamidian Jahromi
Keyword(s):  
Mental Health ◽  
Coping Strategies ◽  
Health Care Providers ◽  
Traumatic Stress ◽  
Coping Skills ◽  
Mental Health Disorders ◽  
Care Providers ◽  
Post Traumatic Stress ◽  
Post Traumatic ◽  
Health Disorders

Nurses caring for patients who contract coronavirus disease 2019 (COVID-19) have experienced significant traumas in the form of increased workloads, negative patient outcomes, and less social support system access. Nurses should be provided with information regarding early detection, coping skills and treatment for anxiety, depression, post-traumatic stress syndrome (PTSS)/post-traumatic stress disorder (PTSD), and other mental health disorders. Early intervention is important as mental health disorders can cause dysfunction, internal suffering, and in the most extreme situations, lead to death if not properly cared for. Healthcare corporations should consider providing coverage for mental health treatment for employees who experience COVID-19 traumas. With the implementation of healthy coping skills and therapeutic intervention, nurses will be able to let go of the negative impacts that the COVID-19 pandemic has caused and reintegrate into their roles as caring and entrusted health care providers. The current paper evaluates the mental health disorders encountered by nurses in the COVID-19 era based on the current medical literature and aims to provide practical coping strategies.

scholarly journals Predeployment Sleep Duration and Insomnia Symptoms as Risk Factors for New-Onset Mental Health Disorders Following Military Deployment

SLEEP ◽  
2013 ◽  
Vol 36 (7) ◽  
pp. 1009-1018 ◽  
Author(s):  
Philip Gehrman ◽  
Amber D. Seelig ◽  
Isabel G. Jacobson ◽  
Edward J. Boyko ◽  
Tomoko I. Hooper ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Sleep Duration ◽  
Mental Health Disorders ◽  
Military Deployment ◽  
Health Disorders ◽  
Insomnia Symptoms ◽  
New Onset

"Importance of Mental Health" (Preprint)

2020 ◽  
Author(s):  
Salman Muhammad Soomar
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Well Being ◽  
Mental Health Disorders ◽  
Personality Factors ◽  
Health Issues ◽  
Health It ◽  
Handling Stress ◽  
Mental Health Issues ◽  
Health Disorders

UNSTRUCTURED Health is the state of overall well-being which includes physical, mental, and social wellbeing. Good health is a resource for living everyday life. It is central for functioning properly, handling stress, living a longer and more active life. Physical well-being includes a healthful lifestyle to decrease the risk of disease. Mental health is equally important as physical health, it is integral and important component of health, it provides strength and enhance a person’s ability to complete regular tasks . Differences in socioeconomic and other living conditions can lead to health inequities which can impact on a person’s health especially mental health though this is not the case in every situation, however the risk to an individual’s mental health determine how the person is going to suffer with mental health issues as these risk factors are not only bounded to poor socio-economic class . Violence, rapid social change, stressful work conditions, gender discrimination, social exclusion, physically ill health, sexual abuse, and persistent socio-economic pressures are recognized as risk factors for poor mental health. Moreover, there are some personality factors and genetic factors that also make people vulnerable to mental health disorders . Mental health issues alone add a lot in the global burden of disease however it is associated with other diseases and conditions as well. Mental health disorders in different forms and intensities a large number of people in their lifetime which not only impact on their health but it causes economic burden on the person and family as well . Despite a greater population is affected from mental health illness, the estimates produced through research regarding are still underestimated the reasons may be overlapping between psychiatric and neurological disorder and keeping suicide behaviors associated with self-harm a separate category other than mental illness . The major reason of underestimation can be less no reporting for these illness due to stigma associated with it. Stigma is the negative attitude towards the illness which creates discrimination and is the main obstacle in seeking help and care .

scholarly journals Are children of any age susceptible to suicidal behaviour?

2020 ◽  
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Young Adults ◽  
Suicide Attempt ◽  
Suicidal Behaviour ◽  
Mental Health Disorders ◽  
Large Cohort ◽  
Adolescents And Young Adults ◽  
The Usa ◽  
Health Disorders

Mei-Sing Ong and colleagues in the USA and Canada have investigated the risk factors for suicide attempt in a large cohort of children, adolescents, and young adults with mental health disorders.

scholarly journals The prevalence, incidence, prognosis and risk factors for depression and anxiety in a UK cohort during the COVID-19 pandemic

2021 ◽  
Author(s):  
Ru Jia ◽  
Kieran Ayling ◽  
Trudie Chalder ◽  
Adam Massey ◽  
Norina Gasteiger ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Perceived Risk ◽  
Online Survey ◽  
Negative Impact ◽  
Positive Mood ◽  
Mental Health Disorders ◽  
Depression And Anxiety ◽  
Population Mental Health ◽  
Health Disorders

Background: The COVID-19 pandemic had profound immediate impacts on population mental health. However, in whom the effects may be prolonged is less clear. Aims: To investigate the prevalence, incidence, prognosis, and risk factors for depression and anxiety reported in a UK cohort over three distinct periods in the pandemic in 2020. Method: An online survey was distributed to a UK community cohort (n=3097) at three points: April (baseline), July-September (T2) and November-December (T3). Participants completed validated measures of depression and anxiety on each occasion and we prospectively explored the role of socio-demographic factors and psychological factors (loneliness, positive mood, perceived risk of and worry about COVID-19) as risk factors. Results: Depression (PHQ-9 means - baseline: 7.69, T2: 5.53, T3: 6.06) and anxiety scores (GAD-7 means -baseline: 6.59, T2: 4.60, T3: 4.98) were considerably greater than pre-pandemic population norms. Women reported greater depression and anxiety than men. Being younger, having prior mental health disorders, more negative life events due to COVID-19, as well as greater loneliness and lower positive mood at baseline were significant predictors of poorer mental health outcomes. Conclusion: The negative impact of the COVID-19 pandemic on mental health has persisted to some degree. Younger people and individuals with prior mental health disorders were at greatest risk. Easing of restrictions might bring the opportunity for a return to social interaction, which could mitigate the risk factors of loneliness and positive mood.

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