Mental Health Evaluation Research Articles

A scientific evaluation of Mental Health through Ayurveda

Mental health is an important aspect of overall wellbeing, as it allows individuals to recognize their own capabilities, manage everyday stress, be productive, and contribute to their community. According to Ayurveda, life consists of four interconnected elements: the body (Sarira), the sensory and motor faculties (Indriya), and the mind (Sattva), and the soul (Atma). Achieving a healthy life requires a harmonious balance of these components, encompassing physical, mental, sensory and spiritual aspects. Ayurveda also emphasizes the significance of mental health, including qualities such as a balanced and pleasant state of mind, cheerfulness, satisfactory sleep, stable mental faculties, active senses, and control over negative emotions, resilience in the face of adversity, and the ability to adapt. Ayurveda has various methods to evaluate mental health, including the assessment through Manasika Prakriti (Sattvika, Rajasika and Tamasika), Nadi Pariksha, Prajnaparadha, Ashta Vibhrama as mentioned in Unmada Nidana of Charaka Samhitha, and Sattva Pariksha as described in Dasavidha Pariksha. The main purpose of this evaluation is for establishing a proper diagnosis as well as prognosis of a disease. This review articles elaborates the scientific tools mentioned in Ayurveda to evaluate mental health.

Psychiatric emergencies and trauma : the impact of stress in emergency nurses

IntroductionMental health at work is increasingly an essential element to assess, especially in sectors with a high risk of psychological and physical stress. Working in a healthcare environment and particularly work in a psychiatric environment can constitute a psychological risk for workers. Among the risks faced by emergency psychiatric medical staff is the risk of developing PTSD (post traumatic stress disorder), which occurs after a traumatic event and results in moral suffering and physical complications that profoundly alter life:personal, social and professional life.ObjectivesScreening psychiatric emergency nurses for post-traumatic stress disorders.Methods This is a cross-sectional study carried out in the psychiatric emergency department of the Arrazi University Hospital in Salé, using an anonymous questionnaire distributed to nurses. It includes a 1st part on sociodemographic and professional data, a 2nd part focused on the evaluation of mental health through the GHQ12 and a 3rd part which evaluates post-traumatic stress made by the scale of post-traumatic stress disorder (PCLS).Results60 pourcent of women are more able to have ptsd disorder40 pourcent men 95 pourcent are under the age of 30 and 5 pourcent have more than 30 years 80 pourcent have morked less than 5 years in the emergency hospitaland 20 pourcent have worked more 73 pourcent have scored more than 44 in pcls score23 pourcent have scored less than 44 in pcls scoreConclusionsThis work highlighted an extremely high rate of exposure to a violent event among psychiatric emergency nurses, even if in this study the prevalence of PTSD found among nurses is lower than expected, in this professional environment overexposure a violence requires special attention to protect and prevent the development of PTSD in professionalsDisclosure of InterestNone Declared

Short Research Report: Mental health and wellbeing promotion and support : education leaders’ perceptions and experiences

Educator leaders play a vital role in fostering educators’ and students’ mental health and wellbeing. Through qualitative research, this paper provides insights from eight education leaders working in State Schools in Malta on their perceptions of, and experiences in, the promotion and support of mental health and wellbeing among educators and students. The objective of the study is to examine how mental health and wellbeing are being promoted, addressed, and supported in schools. Eight semi-structured interviews were conducted with education leaders followed by a reflexive thematic analysis. Four themes emerged from the data, namely school philosophy, ethos, and leadership; mental health and wellbeing in schools; loss and grief; and Covid-19 and its impact on mental health and wellbeing in schools The findings suggest the need for more proactive and supportive considerations of mental health and wellbeing in schools in Malta, along with the implementation and evaluation of mental health and wellbeing whole-school projects in schools.

IJCM_331A: Helping beyond the Helpline – Experience from a Unique Model for Mental Health Care among Frontline workers during COVID – 19 Pandemic in Andhra Pradesh

Background: Psychological issues among Health Care Workers (HCWs) in COVID-19 stem from the fact that normal people are being exposed to extraordinary situations. Facing this critical situation, it is essential to ensure that these personnel are identified early and offered appropriate intervention. Hence, AIIMS Mangalagiri partnering with UNICEF started a project to reach out to all frontline workers in the state of Andhra Pradesh. Objectives: To set up a Psycho-Social Counselling (PSC) system for healthcare & other front-line workers in the state of Andhra Pradesh to handle stress due to COVID–19 To conduct capacity-building programs for health care & other front-line workers to prevent psycho-social conditions arising due to COVID–19 Methodology: A simple Mental Health Screening Questionnaire (MHSQ) was developed and validated in the local language. After getting prior approvals, a Google form link of the MHSQ was sent via email, SMS, and WhatsApp to every frontline worker in the state. Consenting participants with scores above 6 were contacted personally by the psychologists for further detailed evaluation. A helpline number for counseling was publicized and psychologists conducted sessions on mental health awareness and coping strategies in various institutes across the state. Results: About 8,217 respondents attempted the MHSQ out of which detailed mental health evaluation (GAD-7, PHQ-9, CAGE, AUDIT, and PSQI) was done for 392 respondents. The most common issues identified were Anxiety (45%), Insomnia (42%), Depression (12%), and Substance Abuse (2%). Also, as a part of the mental health capacity-building campaign around 4,500 healthcare workers like nurses, Anganwadi teachers, and ANMs were trained offline across the state, along with the District Mental Health team. Conclusion: Mental health can have a significant impact on the competence of frontline workers. In addition to existing interventions available, confidential mental health intervention and service provision are the need of the hour.

Persecution as stigma-driven trauma: Social determinants, stigma, and violence in asylum seekers in the United States

ObjectiveExisting literature documents high rates of experienced violence in asylum seekers. Despite this high prevalence, experiences of traumatic stress are neither necessary nor sufficient grounds for claiming asylum, without documented experiences of persecution. The aim of the current study is to better understand the role of co-occurring pre-migratory social determinants, stigma, and trauma on the experiences of persecution among asylum seekers in the United States. MethodWe conducted a retrospective file review of legal declarations submitted by 25 asylum seekers who participated in forensic mental health evaluations at a pro-bono asylum clinic. We coded de-identified data for co-occurring events of trauma, social determinants of health, and components of “discrimination” from the legal definition of persecution - conceptualizing persecution as stigma-driven infliction of violence. Data was analyzed using a tiered deductive and inductive reflexive thematic analysis. ResultsFindings suggest pre-migratory social determinants included demographics, neighborhood, economic, environmental, and social and cultural level disparities across various grounds for seeking asylum, and experiences of stigma were associated with the specific acts of violence and harm. ConclusionsOur findings - specific to asylum seekers who have obtained legal representation and completed applications for asylum in the United States - describe the co-occurrence of social determinants, stigma and traumatic experiences among asylum seekers. To our knowledge, this study is the first of its kind to bridge the existing legal framework of asylum to a psychological construct incorporating trauma, stigma, and social determinants of health, lending support for the conceptualization of persecution as stigma-driven trauma.

Antidepressant Prescribing Practices of Pediatric Palliative Care Providers.

Background: Mental health diagnoses can co-occur with complex medical illness in pediatric patients. Pediatricians may not feel comfortable with managing psychopharmacology for patients and access to child psychiatrists can be limited. Palliative care (PC) providers follow patients with serious illness longitudinally to address burdensome symptoms that affect quality of life and may be responsible for evaluation and treatment of mental health concerns; however, education in managing psychologic distress for pediatric palliative care (PPC) providers is limited. Objective: This study seeks to describe the antidepressant prescribing practices of PPC providers and describe their level of training and comfort in assessing for anxiety and depression and prescribing psychotropic medications. Methods: An electronic survey approved by the American Academy of Hospice and Palliative Medicine was distributed nationally to PPC providers. Results: A total of 58 providers responded to the survey (response rate 12.3%). Most reported prescribing a variety of antidepressants (79%). Very few used formal assessment tools to screen for depression (7%) or anxiety (16%). Less than a third of providers consulted child psychiatry before prescribing antidepressants (29%). More than half of providers (54.5%) had no formal training in assessment and treatment of anxiety and depression in pediatric patients. Despite this, many providers (70%) reported feeling comfortable in prescribing antidepressants while also endorsing interest in more training for behavioral health evaluation and treatment (82.5%). Conclusions: Limited training in assessing mental health concerns, prescribing, and managing psychopharmacology suggests an opportunity for more targeted education for pediatric PC providers regarding antidepressant prescribing practices.

How online data informs forensic mental health evaluations of sexual behavior: An overview.

The Internet plays a pervasive role in modern life including the expression of human sexuality and sexual offending. A range of online sexual activities may be of interest in forensic mental health evaluations (FMHE), including those which are clearly illegal or those which are legal but functionally problematic. Online sexual offenses will clearly prompt forensic evaluators to consider the role of the Internet in these offending behaviors. The Internet may also be relevant in forensic evaluations of contact sexual offending including informing on history of mixed or cross-over offending, and Internet-facilitated contact offenses. A review of Internet-data may span several online domains, many of which provide the user with substantial anonymity and would likely not be available to the evaluator unless provided through the process of discovery. Early guidelines for the review of Internet-data in FMHEs have been proposed and support the Internet as a useful source of collateral data in the conduct of forensic evaluations of sexual behavior.

Widening the net: Use of social media data in personal injury and disability evaluations.

A central tenet of forensic mental health assessment is the use of multiple sources of data. Traditionally, these sources have included clinical interviews with and observations of the examinee, written records review, psychological test data, and interviews with collateral sources. Data from social media and social networking sites (SNS) is now widely used in civil litigation. However, existing professional practice standards and guidelines do not specifically address the use of SNS data. This leaves forensic mental health evaluators with little guidance as to why, when and how to incorporate SNS data into their evaluations. We review the extant literature on the use of SNS and other social media data in personal injury and disability cases, including legal, ethical, and practical considerations, with the goal of providing forensic mental health practitioners with a framework for making decisions about when and how to incorporate these data into their evaluations and opinions. We advocate caution in conducting independent searches of social media and the Internet, and in making inferences about internal states based on SNS postings. To illustrate these points, we include a case study.

Evaluation of intensive community care services for young people with psychiatric emergencies: study protocol for a multi-centre parallel-group, single-blinded randomized controlled trial with an internal pilot phase

BackgroundOver 3000 young people under the age of 18 are admitted to Tier 4 Child and Adolescent Mental Health Services (CAMHS) inpatient units across the UK each year. The average length of hospital stay for young people across all psychiatric units in the UK is 120 days. Research is needed to identify the most effective and efficient ways to care for young people (YP) with psychiatric emergencies. This study aims to evaluate the clinical effectiveness and cost-effectiveness of intensive community care service (ICCS) compared to treatment as usual (TAU) for young people with psychiatric emergencies.MethodsThis is a multicentre two-arm randomized controlled trial (RCT) with an internal pilot phase. Young people aged 12 to < 18 considered for admission at participating NHS organizations across the UK will be randomized 1:1 to either TAU or ICCS. The primary outcome is the time to return to or start education, employment, or training (EET) at 6 months post-randomization. Secondary outcomes will include evaluations of mental health and overall well-being and patient satisfaction. Service use and costs and cost-effectiveness will also be explored. Intention-to-treat analysis will be adopted. The trial is expected to be completed within 42 months, with an internal pilot phase in the first 12 months to assess the recruitment feasibility. A process evaluation using visual semi-structured interviews will be conducted with 42 young people and 42 healthcare workers.DiscussionThis trial is the first well-powered randomized controlled trial evaluating the clinical and cost-effectiveness of ICCS compared to TAU for young people with psychiatric emergencies in Great Britain.Trial registrationISRCTN ISRCTN42999542, Registration on April 29, 2020

Health education in the school environment: interdisciplinary practices, constitutional guarantees, and full development of the individual

Health Education in schools plays a crucial role in promoting the physical, mental, and social well-being of students, contributing to the formation of healthy and conscious citizens. By integrating health promotion into daily activities, this approach aims to disseminate information and encourage healthy habits, emphasizing the importance of interaction between the school and healthcare teams. Key points such as disease prevention, nutrition education, physical activity, mental health, sexual education, drug prevention, community partnerships, and ongoing evaluation outline a comprehensive plan. Considering the historical context from hygienic models to contemporary approaches, a critical understanding of these phases is vital for creating a healthy school environment and empowering students to make informed choices for a healthy life. In addition, the Health in School Program (PSE) is a joint initiative of the Ministries of Health and Education in Brazil, launched in 2007, to promote the health and well-being of public school students. With an emphasis on integrating health and education, PSE covers various areas, including healthy eating, disease prevention, combating Aedes aegypti, and physical activity, operating in all stages of basic education. Community involvement is crucial, and the program involves constant monitoring and access to healthcare services. PSE stands out for its preventive focus, aiming to educate conscious and healthy citizens. Furthermore, the article argues for the integration of health into the Political-Pedagogical Project (PPP) of schools, as advocated by the 1988 Federal Constitution. It emphasizes the influence of economic and social policies on population health and the school's importance as a space for health promotion. The National Common Curricular Base and National Curriculum Parameters recognize the transversality of health in education. PPP, seen as a democratic instrument, is essential for collaboration between health and education. The pedagogical approach of John Dewey and Paulo Freire highlights the importance of experience, dialogue, awareness, meaningful learning, empowerment, reflective practice, and cultural contextualization. The expansion of this approach to teachers and staff is considered vital in the educational process.

Community-based mental health interventions in low- and middle-income countries: a qualitative study with international experts

BackgroundMental health services are scarce in low- and middle-income countries (LMICs), and designing and implementing effective interventions can be difficult. The aim of this international study was to explore the key lessons for developing, implementing, and evaluating community-based mental health and well-being interventions in LMICs, with an additional focus on older adults.MethodsResearch and clinical experts in developing and implementing psychosocial community-based interventions in LMICs were interviewed remotely between October 2021 and January 2022. Participants were recruited via existing global health networks and via published literature searches. Participants were asked about their experiences of developing and implementing interventions, and about key barriers and facilitators during the process. Interviews lasted up to 45 min, and data were analysed using combined inductive and deductive thematic analysis.ResultsSixteen global mental health experts participated. Five themes with different sub-themes were generated: Mechanisms and contexts; Barriers; Facilitators; Public and stakeholder involvement; Looking through an ageing lens. The development and delivery of mental health interventions in LMICs are facilitated through integration into existing health infrastructures and working with existing job roles as delivery agents. Public and stakeholder involvement are crucial at all stages of development through to implementation to focus on meeting local needs and sustaining participant motivation. Logistical barriers of transport, resources, and location need to be addressed, emphasising local sustainability.ConclusionsThis study provides important insights for how the development, implementation, and evaluation of community-based mental health and well-being interventions in LMICs can be optimised, and can complement general guidance into complex interventions developments.

Navigating sarcopenia in COVID-19 patients and survivors: Understanding the long-term consequences, transitioning from hospital to community with mechanisms and interventions for future preparedness.

The coronavirus disease 2019 (COVID-19) pandemic has caused widespread devastation, with millions of confirmed cases and deaths worldwide. Although there were efforts made to develop treatments and vaccines for COVID-19, the coexistence of sarcopenia, a muscle disorder, has been largely overlooked. It is while new variants of this disease (eg, BA.2.86) are challenging the current protocols. Sarcopenia is associated with increased mortality and disability, and shares common mechanisms with COVID-19, such as inflammation, hormonal changes, and malnutrition. This can worsen the effects of both conditions. Furthermore, survived patients with COVID-19 who have elevated risk, as well as aging, which increases the process of sarcopenia. Therefore, addressing sarcopenia in patients with COVID-19 and surviving individuals can be crucial for improving outcomes and preventing long-term disability. During hospital stays, assessing sarcopenia through indicators like muscle wasting and malnutrition is important. Nutritional interventions, such as malnutrition screening and enteral feeding, play a critical role in preventing sarcopenia in hospitals. Mental health and physical activity evaluations and interventions are also necessary. Even after recovering from COVID-19, there is a risk of developing sarcopenia, requiring continued monitoring. Nutrition and physical activity considerations are vital for prevention and management, necessitating tailored training programs and diet therapy. Mental health should not be overlooked, with regular screening, and community-based interventions. Infrastructure should support physical activity, and mental health services must become more accessible. Community engagement through support groups and peer networks can foster resilience and social connection. Efforts are needed to promote healthy diets and ensure access to nutritious foods.

Research on optimization of teaching mental health monitoring and evaluation system based on intelligent algorithm

Abstract Recently, the application and optimization research of intelligent algorithms in the monitoring and evaluation system of teaching mental health has been focused on. Many countries cannot avoid that with the rapid development of the urban economy, the mental health of Chinese people is ignored without knowing it. This phenomenon is more obvious in today’s campuses, especially in colleges and universities. Although the campus is equipped with a psychological counseling office, most students choose to give up because they can’t face themselves in a bad mood. Traditional random checks and individual conversations have no good effect. The intelligent algorithm developed in the new era is inevitably applied to the detection and evaluation of teaching psychological health. However, the intelligent algorithm at this stage cannot meet the requirements of teaching mental health monitoring and evaluation, because the data collection and processing are not completed through the matching intelligent algorithm, but directly through the algorithm DC method. The data collection will cause certain errors, and the data processing and output will inevitably be biased. This research is a kind of optimized intelligent algorithm system that can be applied to the monitoring and evaluation of teaching mental health. First, the research introduces and compares several modern intelligent algorithms used in teaching mental health monitoring and evaluation, and then analyzes the main influencing factors of monitoring and evaluation. These factors are integrated into the intelligent algorithm monitoring and evaluation system as key intelligent algorithm research objects, Finally, the optimized monitoring and evaluation system is applied in practice to obtain the corresponding imperfect information performance, and the final optimized result is obtained through further improvement. The results show that in most cases, a certain intelligent algorithm can not fully adapt to the detection and evaluation system, but the combination of different kinds of intelligent algorithms through influencing factors can give play to its advantages, and the final results can also be consistent with the actual. The proposed intelligent algorithm can not only be used in the monitoring and evaluation of teaching mental health but also reflect more monitoring and evaluation of teaching quality. The essence of the intelligent algorithm is to obtain complete data that can reflect reality by exploring the value of various information data. In the future, more joint intelligent algorithms will be proposed, which can adapt to more situations and achieve complete applications in teaching, security, medicine, and other fields.

Mobile health management among end stage renal disease patients: a scoping review.

The health management of end-stage renal disease patients is a complicated process, and mobile health management technology provides a new choice for the health management of end-stage renal disease patients. The scope of clinical studies on mobile health management for patients with end-stage renal disease was reviewed, and found that about mobile health management problems existing in the literature were identified to provide ideas for subsequent mobile health management research. The databases Web of Science, PubMed, The Cochrane Library, Embase, CNKI, Wan Fang Data, BMJ, and VIP were systematically searched for studies on Mobile health management among end-stage renal disease in adult and adolescent patients or children undergoing kidney replacement therapy. The search covered the period from the inception of the databases to June 20, 2023. Two independent reviewers conducted the literature screening process. Following eligibility screening, a total of 38 papers were included for data extraction and descriptive analysis. A total of 38 studies from 14 countries were finally included. The majority of which were interventional trials. The platforms used in these studies included remote monitoring systems, apps, websites, mobile phones or tablets, and social platforms. These platforms provided patients with a wide range of services, including disease management, behavioral intervention, social support, and follow-up care. Most studies focused on patient clinical indicators, patient experience, quality of life, and healthcare costs. Our findings that mobile health management has been widely used in disease management of end-stage renal disease patients, with rich management content and many evaluation indicators. Future studies should strengthen the evaluation of patients' mental health, quality of life, and healthcare costs. Additionally, developing a clinical decision support system would enable mobile health management to play a more effective role in end-stage renal disease patients.

Food insecurity and suicidal behaviours among Bangladeshi university students: a multi-institutional cross-sectional study.

Suicidal behaviours among students pose a significant public health concern, with mental health problems being well-established risk factors. However, the association between food insecurity (FIS) and suicidal behaviours remains understudied, particularly in Bangladesh. This study aimed to investigate the relationship between FIS and suicidal behaviours among Bangladeshi university students. A cross-sectional survey using convenience sampling was conducted between August 2022 and September 2022. Information related to socio-demographics, mental health problems, FIS and related events and suicidal behaviours were collected. Chi-squared tests and multivariable logistic regression models, both unadjusted and adjusted, were employed to examine the relationship between FIS and suicidal behaviour. Six public universities in Bangladesh. This study included 1480 students from diverse academic disciplines. A substantial proportion of respondents experienced FIS, with 75·5% reporting low or very low food security. Students experiencing FIS had a significantly higher prevalence of suicidal ideation, plans and attempts compared with food-secure students (18·6% v. 2·8%, 8·7% v. 0·8% and 5·4% v. 0·3%, respectively; all P<0·001). In addition, students who have personal debt and participate in food assistance programmes had a higher risk of suicidal behaviours. This study highlights the association between FIS and suicidal behaviours among university students. Targeted mental health screening, evaluation and interventions within universities may be crucial for addressing the needs of high-risk students facing FIS.

Research on mental health status evaluation based on data mining model

This paper puts forward a new mental health evaluation model based on data mining technology, and analyzes the factors that affect mental health. The model understands the influencing factors according to the mental health status of different student groups, then reduces the dimensionality of the original data through principal component analysis and discriminant analysis, and finally establishes a dependent variable prediction model through regression analysis. The experimental results show that the method proposed in this paper can effectively predict students' mental health status.

Construction of Mental Health Evaluation System for College Students’ Physical Education Learning in the Internet Era

Abstract In this paper, a mental health evaluation system based on KB-SMOTE algorithm and XGBoost model was successfully established. Firstly, the questionnaire is reasonably set up and distributed to the college students majoring in physical education to fill in the questionnaire, to obtain the college students’ mental health questionnaire survey data. Secondly, the KB-SMOTE algorithm is used to optimize the data of questionnaire tuning data. The training set was utilized to establish the primary parameters of the XGBoost model. The final parameters were determined by the parameters that correspond to the highest accuracy of the XGBoost model. Finally, the model is built based on the best parameters obtained from the training set, and the optimized test data set is brought into the model to output the value of college students’ mental health assessment. The results show that the model performs best when the learning rate is 0.02, the tree depth is 5, the maximum number of iterations is 500, and the L2 regular term is 5. The XGBoost model predicts 4160 cases correctly and 286 cases incorrectly, with an overall correctness rate of 93.6%, and its corresponding ROC curve is closer to the y-axis, with an AUC value of 0.9154. By utilizing the XGBoost model, the model can accurately determine the mental health of college students. The mental health of college students can be accurately evaluated by models.

Exploring a Student-Centered One-Stop Community Service Model

Abstract The student community in colleges and universities is based on students’ common living areas, and the community service model in colleges and universities should be student-oriented and centered on students’ development. This paper proposes a one-stop community service model from a student-oriented perspective, with the service community model and service recommendation model being the main component modules. In the service community model, a context-based association relationship mining algorithm is proposed to add time and location contexts to the collaborative filtering algorithm in order to obtain a collection of similar users and services. After constructing the one-stop service community, a service recommendation algorithm based on a trusted coalition is proposed to introduce student credibility and service usage frequency to achieve personalized recommendations of services. University H’s student community implemented the one-stop community service model. After the practice, the mean value of each dimension of the community’s service mode and content evaluation was greater than 3, and the overall satisfaction evaluation value of the community was 39.49, which was extremely significant compared with the evaluation value of University C (P&lt;0.01). The mean value of students’ mental health evaluation reached 3.33.

Mental Health Status Detection Model Based on LSTM Neural Network

In today's society where mental health is increasingly concerned, how to effectively monitor and evaluate an individual's mental health status has become a research focus. However, traditional mental health evaluation methods have disadvantages such as strong subjectivity and strong dependence on professionals, and there is an urgent need to establish an automatic evaluation method based on objective data. This article is based on the LSTM (Long Short-Term Memory) mental health state detection model, which inputs the text sequence data to be detected into the LSTM model, and obtains the corresponding mental health state prediction results through forward transmission. A threshold can be set to determine whether the mental health status is normal, or the predicted results can be compared with real markers to evaluate the precision and performance of the model. Multiple features such as emotional analysis with textual features were integrated to construct a new model for evaluating the role of integrated features in mental health state recognition. Only text features had an accuracy rate of 0.87, an precision rate of 0.89, and a recall rate of 0.86. The accuracy rate under text feature+sentiment analysis was 0.90; the precision rate was 0.92; the recall rate was 0.89. This article provided reference and tool support for the detection of mental health status.

School Teachers’ Knowledge and Attitude towards Mental Disorders among Schoolgoing Children: A Cross-sectional Study

Introduction: Mental disorders in children can present with non specific behavioural issues, like irritability and procrastination. These issues are often neglected, which can negatively affect academic performance and overall development. Teachers hold a unique position to promote mental health and facilitate early identification of mental disorders, leading to timely referrals for early intervention. Aim: To examine the knowledge and attitude of school teachers towards mental disorders in school-going children. Materials and Methods: A cross-sectional study was conducted in Karwar city over a period of two months (July and August 2019) at the Karwar Institute of Medical Sciences, Karnataka , India. A total of 121 primary and high school teachers from 11 schools participated in the study. Purposive sampling was used, as all schools in Karwar city were approached for the study. A self-designed questionnaire consisting of 20 questions (10 questions on knowledge and 10 questions on attitude towards children with mental disorders) was used. Descriptive statistics, such as percentages, were used for data analysis. Results: The study revealed that teachers had moderate knowledge about child mental disorders. However, there was a lack of awareness about the treatment and care of such children. Sixty-three (52.07%) teachers believed that mental disorders result from incorrect thinking. Seventy-nine (65.29%) teachers were of the opinion that sleeping pills are not the only available treatment. Attitude towards children with mental disorders were both positive and negative. 82 (67.77%) teachers believed such children to be less intelligent, while 76 (62.81%) teachers did not believe mentally ill children indulge in violence. Many teachers were aware that these children can be vulnerable to bullying and discrimination by their peers. Conclusion: The study concluded that there is moderate knowledge and mixed attitude among school teachers regarding mental disorders in school-going children. This highlights the need for proper training programs that can aid in early identification, timely referrals for mental health evaluation, and the promotion of child mental health.