scholarly journals Mental health disorders among students from rural areas three months after returning to school: a cross-sectional study among Polish students (12-13 y.o.)

2022 ◽  
Author(s):  
Piotr Długosz

Abstract: Background: All over the world, the negative impact of the Covid-19 pandemic on children and adolescents’ mental health is observed. The conducted research aims to verify whether returning to schools, to the education inside the classroom in the company of their peers, improved or undermined the students’ mental health. Metods: The study was carried out on a sample of students inhabiting rural areas in a borderland region. The research sample was collected using purposive sampling and consisted of 552 respondents from 7th and 8th grades of primary school. An auditorium questionnaire was used to gather the research material. Results: Three months after returning to school, the students are in a bad mental condition. 61% of the respondents are satisfied with their lives, 52% of the respondents show symptoms of depression measured with the WHO-5 index, whereas 85% of them have average and high stress levels as measured with the PSSC scale. Higher levels of mental disorders was observed among females, the students inhabiting villages and evaluating their financial status as worse. Conclusions: Returning to schools failed to have a positive impact on the students’ mental health. Disorders occurring at a large scale will have a negative influence on the students’ performance and hinder their re-adaptation to school. Educational authorities shall immediately provide the students with support and monitor the situation in the next months.

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
E Petelos ◽  
M Papadakaki ◽  
C Lionis

Abstract Access to comprehensive primary care (PC) services is imperative to address the complex biopsychosocial needs of patients with mental illness and their families, while it holds the potential to safeguard mental health and enhance resilience in communities. Integration of mental health and social care services in primary care has not yet been achieved, while access to such services for the mentally ill is still hindered by patient-, provider- and system-oriented barriers. Improving service integration, quality and access requires active engagement of patients and families in the design and planning of services. Interprofessional collaboration, interdisciplinary approaches and sound deliberative processes are only the start of initiating discussions to establish the needs of local communities. Mapping care paths, involving stakeholders and engaging in practice-based research are impeded by the organisation and design of care provision, including siloed processes and semantic ambiguity in establishing common ground. Academic centres ought to act as hubs for bringing together all actors, creating living labs and addressing the needs of people in urban and rural areas. The case study from Crete will focus on the following questions: What actions are needed to improve access of people with mental health disorders to PC services and how could PC mediate effective communication with mental health services?To what extent people with mental health disorders experience violence, abuse or discriminatory behaviour in PC?To what extent PC services recognize and facilitate autonomy, self-determination and inclusion of people with mental health disorders?To what extent stakeholders and PC services engage people with mental health disorders in decision making process and local governance?To what extent educational interventions for PC practitioners could result in the reduction of discriminatory behaviour and safeguard the dignity among people with mental health disorders?


2020 ◽  
pp. 109019812097496
Author(s):  
Shawnda Schroeder ◽  
Chih Ming Tan ◽  
Brian Urlacher ◽  
Thomasine Heitkamp

Empirical evidence describes the negative outcomes people with mental health disorders experience due to societal stigma. The aim of this study was to examine the role of gender and rural-urban living in perceptions about mental illness. Participants completed the Day’s Mental Illness Stigma Scale, a nationally validated instrument for measuring stigma. Directors of Chambers of Commerce in North Dakota distributed the electronic survey to their members. Additionally, distribution occurred through use of social media and other snowball sampling approaches. Analysis of data gathered from 749 participants occurred through examination of the difference in perceptions based on geography and gender. The zip codes of residence were sorted to distinguish between rural and urban participants. Application of weighting measures ensured closer alignment with the general population characteristics. Findings indicate that for the majority of the seven stigma measures the Day’s Mental Illness Stigma Scale examines, the coefficient of rural–gender interactions was positive and highly significant with higher levels of stigma in rural areas. Females exhibited lower stigma perceptions than males. However, women living in rural areas held higher degrees of stigma compared to urban residing females. Implications of the study include the need to advance mental health literacy campaigns for males and people residing in rural communities. Additional empirical studies that examine the role of geography and gender in understanding stigma toward people with mental health disorders will result in improved treatment outcomes due to increased and focused educational efforts.


2018 ◽  
Author(s):  
George Karystianis ◽  
Armita Adily ◽  
Peter Schofield ◽  
Lee Knight ◽  
Clara Galdon ◽  
...  

BACKGROUND Vast numbers of domestic violence (DV) incidents are attended by the New South Wales Police Force each year in New South Wales and recorded as both structured quantitative data and unstructured free text in the WebCOPS (Web-based interface for the Computerised Operational Policing System) database regarding the details of the incident, the victim, and person of interest (POI). Although the structured data are used for reporting purposes, the free text remains untapped for DV reporting and surveillance purposes. OBJECTIVE In this paper, we explore whether text mining can automatically identify mental health disorders from this unstructured text. METHODS We used a training set of 200 DV recorded events to design a knowledge-driven approach based on lexical patterns in text suggesting mental health disorders for POIs and victims. RESULTS The precision returned from an evaluation set of 100 DV events was 97.5% and 87.1% for mental health disorders related to POIs and victims, respectively. After applying our approach to a large-scale corpus of almost a half million DV events, we identified 77,995 events (15.83%) that mentioned mental health disorders, with 76.96% (60,032/77,995) of those linked to POIs versus 16.47% (12,852/77,995) for the victims and 6.55% (5111/77,995) for both. Depression was the most common mental health disorder mentioned in both victims (22.30%, 3258) and POIs (18.73%, 8918), followed by alcohol abuse for POIs (12.24%, 5829) and various anxiety disorders (eg, panic disorder, generalized anxiety disorder) for victims (11.43%, 1671). CONCLUSIONS The results suggest that text mining can automatically extract targeted information from police-recorded DV events to support further public health research into the nexus between mental health disorders and DV.


Author(s):  
Mittal Patel ◽  
Steven Swift ◽  
Alex Digesu

AbstractMental health and mental health disorders among clinicians remain a taboo, despite increasing evidence showing the direct impact on medical teams and patient care. This editorial is aimed at increasing awareness of mental issues amongst healthcare professionals, identifying perceived barriers to seeking help, and suggesting ways in which to seek help. Mental health disorders, including anxiety and depression, are prevalent from medical school, leading to increased burnout and suicide risks at later stages of a clinician’s career. There is often a reluctance to seek help, particularly amongst the surgical specialties, caused by self-criticism, lack of convenient access and the potential negative impact on medical licensure. This editorial has been written in loving memory of our colleague, friend and board member Dr. Nikolaus Veit-Rubin, who sadly passed away at the beginning of the year. It is written in the hope of highlighting the importance of maintaining mental wellbeing amongst the medical team, supporting help-seeking behaviour and changing attitudes toward mental health disorders amongst clinicians.


2020 ◽  
Vol 4 (1) ◽  
pp. 14-20
Author(s):  
Khalifatul Azwin ◽  
Muhamad Fathul Muin

The student’s mental health has been a global issue. Students from various regions in Indonesia are more likely to be affected by mental health disorders caused by encountering an unfamiliar environment. Therefore, this study aims to determine the effect of culture shock and social support on depression, anxiety, and stress that is experienced. This research is a cross-sectional study using primary data taken from Polytechnic of Statistics students in the academic year of 2018/2019. The questionnaire refers to DASS-21, MOS Social Support, and 12 cultural concussion items formed by Taft and Mumford. The data obtained were analyzed by the PLS-SEM method. The results found that the prevalence of depression, anxiety, and stress experienced by students are 25.36%, 58.41%, and 17.20%, respectively. In addition, the high occurence of culture shock makes the depression, anxiety and stress experienced increased. Conversely, there was no significant effect between social support and culture shock, depression, anxiety, and stress. The high prevalence of depression, anxiety, and stress experienced by students have a negative impact. All related parties are expected to help overcome students' mental health disorders.


2020 ◽  
Author(s):  
Diana Maddah ◽  
Tamar Kabakian ◽  
Rouba Zeidan ◽  
Nathalie Elsaady ◽  
Nael Alami ◽  
...  

Abstract University students in developing countries may be at high risk for mental health disorders due to many financial, political, and social stressors. In the present study, we intended to explore the association of mental health with health behaviors and life skills. Participants included 2789 university students in Lebanon. Bivariate and multivariate regression analysis were performed. Results suggested that the risk for mental health disorders is associated with the socio-demographic factors of being a first year university student, being female, and living in rural areas. Also, consumption of high-calorie dietary pattern, low physical activity, and high level of risky behaviors associated with higher occurrence of mental health disorders. Life Skills are associated with less occurrence of mental health disorders in our data. Sociodemographic factors such as gender, university year, and area of residence (rural vs. urban), healthy behaviors, and life skills showed to be strongly associated with university students’ mental health. Life skills based interventions addressing the aforementioned mental health determinants would benefit university students in developing countries.


2021 ◽  
Author(s):  
Ru Jia ◽  
Kieran Ayling ◽  
Trudie Chalder ◽  
Adam Massey ◽  
Norina Gasteiger ◽  
...  

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.


2021 ◽  
Vol 27 (2) ◽  
Author(s):  
Olga Chivilgina ◽  
Bernice S. Elger ◽  
Fabrice Jotterand

Abstract While the implementation of digital technology in psychiatry appears promising, there is an urgent need to address the implications of the absence of ethical design in the early development of such technologies. Some authors have noted the gap between technology development and ethical analysis and have called for an upstream examination of the ethical issues raised by digital technologies. In this paper, we address this suggestion, particularly in relation to digital healthcare technologies for patients with schizophrenia spectrum disorders. The introduction of digital technologies in psychiatry offers a broad spectrum of diagnostic and treatment options tailored to the health needs and goals of patients’ care. These technologies include wearable devices, smartphone applications for high-immersive virtual realities, smart homes, telepsychiatry and messaging systems for patients in rural areas. The availability of these technologies could increase access to mental health services and improve the diagnostics of mental disorders. Additional Instruction Abstract In this descriptive review, we systematize ethical concerns about digital technologies for mental health with a particular focus on individuals suffering from schizophrenia. There are many unsolved dilemmas and conflicts of interest in the implementation of these technologies, such as (1) the lack of evidence on efficacy and impact on self-perception; (2) the lack of clear standards for the safety of their daily implementation; (3) unclear roles of technology and a shift in the responsibilities of all parties; (4) no guarantee of data confidentiality; and (5) the lack of a user-centered design that meets the particular needs of patients with schizophrenia. mHealth can improve care in psychiatry and make mental healthcare services more efficient and personalized while destigmatizing mental health disorders. To ensure that these technologies will benefit people with mental health disorders, we need to heighten sensitivity to ethical issues among mental healthcare specialists, health policy makers, software developers, patients themselves and their proxies. Additionally, we need to develop frameworks for furthering sustainable development in the digital technologies industry and for the responsible usage of such technologies for patients with schizophrenia in the clinical setting. We suggest that digital technology in psychiatry, particularly for schizophrenia and other serious mental health disorders, should be integrated into treatment with professional supervision rather than as a self-treatment tool.


2019 ◽  
Author(s):  
Eliza Kramer ◽  
Bonhwang Koo ◽  
Anita Restrepo ◽  
Maki Koyama ◽  
Rebecca Neuhaus ◽  
...  

ABSTRACTObjectiveThe present study sought to examine the relationships between processing speed (PS), mental health disorders, and learning disorders. Prior work has tended to explore relationships between PS deficits and individual diagnoses (i.e., anxiety, autism, ADHD, depressive) in isolation of one another, often relying on relatively modest sample sizes. In contrast, the present work simultaneously investigated associations between PS deficits and these diagnoses, along with specific learning disabilities (i.e., reading, math), in a large-scale, transdiagnostic, community self-referred sample.MethodA total of 843 children, ages 8-16 were included from the Healthy Brain Network (HBN) Biobank. Given the presence of four PS tasks in HBN, principal component analysis (PCA) was employed to create a composite measure that represented the shared variance of the four PS tasks, referred to as PC1. Intraclass correlation coefficient (ICC) between the four PS measures, as well as PC1, were calculated to assess reliability. We then used multiple linear regression models to assess specific relationships between PS deficits and psychiatric diagnoses.ResultsICCs were moderate between WISC-V tasks (0.663), and relatively modest between NIH Toolbox Pattern Comparison and other PS scales (0.14-0.27). Regression analyses revealed specific significant relationships between PS and reading and math disabilities, ADHD-inattentive type (ADHD-I), and ADHD-combined type (ADHD-C). Secondary analyses accounting for inattention dimensionally diminished associations with ADHD-C, but not ADHD-I or specific learning disability subtypes. The present study did not find a significant relationship with Autism Spectrum Disorder after accounting for inattentive symptoms. Consistent with prior work, demographic variables, including sex, socioeconomic status, and motor control exhibited independent relationships with PC1 as well.DiscussionThis study provided a comprehensive examination of PS, mental health disorders, and learning disabilities through a transdiagnostic approach. Implications for understanding how PS interacts with a highly heterogeneous childhood sample, as well as the need for increased focus on detection of affected populations are discussed.


2015 ◽  
Vol 1 (8) ◽  
pp. 68
Author(s):  
Birutė Pitrėnaitė-Žilėnienė ◽  
Vilma Miglinė

It is forecasted that in the coming decades, Europe will inevitably be affected by very important natural and social upheavals, which can significantly affect public welfare, physical and mental health disorders. That is why it is important to prepare properly. In this context, the emphasis is to be able to effectively adapt to a rapidly changing world. Because of geophysical situation changes, a target would be to create a resistant society, which would be able to neutralize any upheaval impact and timely recover from it. War, armed conflicts, natural and technological disasters have a major psychological and social impact on the affected population. After each disaster, many people experience emotional trauma. Strong emotional upheaval can be experienced not only by those directly involved in the event and/or physical trauma victims, but also by their relatives or even an event unrelated individuals.<br />The purpose of this article is to analyze the current scientific literature, highlight the negative impact on the mental health of the risk factors during the emergency and substantiate the necessity to plan mental health related preventive measures.<br />One of the most common mental health problems after a disaster is a post-traumatic stress disorder (PTSD). Various factors may increase the risk of the development of the PTSD. Social factors play a significant role among them. Psychological resistance is strongly influenced by the perception that during emergency, support to the victims will be provided not only by family, but also by the competent authority which will properly take care of the physical and psychological comfort reset. That is why the emergency plans should include not only search, rescue and other means related to saving lives and physical health, but also means related to psychosocial support services.<br />It is hardly possible to develop precise scenarios/prognosis of a disaster. Therefore, flexibility, regular checking and update are essential requirements for emergency management planning. Individuals who participate in actions in response to an emergency must have a clear understanding of their role. When planning a response to the disaster, it is necessary to ensure the availability of mental health services and psychosocial support to the affected communities, according to the risk factors, which influence the development of mental health disorders. Therefore, it is extremely important to create a long-term communitybased mental health care system for response during and recovery after disasters.


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