Search results

Current research on mental health in the construction industry is fragmented, making it difficult to obtain a complete picture of young construction workers’ mental health conditions. This situation adversely affects research progress, mental health-care planning and resource allocation. To address this challenge, the purpose of this paper was to identify the themes of mental health conditions among young construction workers and their prevalence by geographical location.

The scoping review was conducted using meta-aggregation, guided by the CoCoPop (condition [mental health], context [construction industry] and population [construction workers 35 years old and younger]) and PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews) frameworks.

A total of 327 studies were retrieved, and 14 studies published between 1993 and 2022 met the inclusion criteria. The authors identified 13 mental health conditions and categorized them under nine themes. Mood disorders, anxiety disorders and substance-related disorders constituted the most researched themes. Studies predominantly focused on young male workers in the Global North. The prevalence estimates reported in most of the studies were above the respective country’s prevalence.

This review extends previous studies by focusing specifically on the themes of mental health conditions and giving attention to young construction workers whose health needs remain a global priority. The study emphasizes the need to give research attention to lesser-studied aspects of mental health, such as positive mental health. The need to focus on female construction workers and on homogenous sub-groups of young workers is also emphasized. The findings can guide future systematic reviews on the identified thematic areas and help to plan the development of interventions.

Maladaptive daydreaming (MD) has yet to be recognized as a formal condition. This paper aims to shed light on the phenomenon of daydreaming, its potential maladaptive nature and the characteristics of MD, as well as potential interventions that may be implemented to address it.

The present paper is a general conceptual review of the condition of MD. It provides a historical overview of the phenomenon and attempts to draw meaningful inferences from the scientific work pertaining to the development of diagnostic criteria, the assessment and interventions developed to treat MD.

Studies have shown that MD can cause distress and impair an individual's typical functioning, and specific diagnostic criteria and symptoms have been identified. Scheduled clinical interviews, self-report measures and derivative treatment modules are currently utilized to understand, assess and treat the symptoms related to MD.

Formal recognition of the condition ensures that the individuals receiving treatment for the condition are provided with insurance coverage and reimbursement for treatment.

Authors also hope for MD recognition, awareness, reduced stigma and acceptance.

This review offers a fair overview of the recent scientific findings pertaining to MD and attempts to open a channel of discourse to enhance the inclusivity of relevant psychopathological conditions in the existing classifications.

This paper aims to explore the value that care from a primary mental health care nurse (PMHCN) can bring to people with mental health (MH) problems in health-care delivery.

This study used a focus group of 20 PMHCNs working in primary care (PC) health settings in Saudi Arabia before using thematic content analysis to describe and explore their views and experiences of the integration of MH care into PC units. The researchers used a semi-structured interview format, which began with open-ended probes and proceeded to use of theoretical sampling based on emerging data related to their experiences and perceptions in the integration process.

Four main themes were derived from the thematic analysis of interviews: collaboration, knowledge and experience, awareness and orientation care and influential role.

This study’s use of qualitative research methods has certain limitations, including the small sample size of 20 participants, which means that it may not be representative of all primary MH nurses in primary health-care centers in Saudi Arabia. To make the results applicable to a broader audience, the researcher sought to moderate this limitation by including participants with extensive experience in multiple settings and nurses of different ages.

The cost implications of the PMHCN service are not yet comprehensively understood, but it is apparent that this model is not only regarded extremely positively by MH practitioners but may also have significant benefits in terms of patient outcomes. The configuration of local services and relevant patient demographics will affect the extent to which this study’s findings are transferable. Meanwhile, further research in this area could seek to provide further evidence about the aspects of the PMHCN service model, such as secondary care referrals and waiting times, accident and emergency attendances and patient recovery rates and the impact of providing such a service on health-care practitioners as well as its cost-effectiveness.

This study’s findings suggest that PMHCNs believe that their care improves the quality of PC for patients in PC settings. Elements of the PC placement that professionals particularly valued include their ability to assist patients in their own community and the inclusion of volunteer stakeholders who act as preceptors. The participants expressed a need for improvement of policy related to referrals within the clinics.

Depression is a mental health problem characterized by a persistent sense of sadness and loss of interest. EEG signals are regarded as the most appropriate instruments for diagnosing depression because they reflect the operating status of the human brain. The purpose of this study is the early detection of depression among people using EEG signals.

(i) Artifacts are removed by filtering and linear and non-linear features are extracted; (ii) feature scaling is done using a standard scalar while principal component analysis (PCA) is used for feature reduction; (iii) the linear, non-linear and combination of both (only for those whose accuracy is highest) are taken for further analysis where some ML and DL classifiers are applied for the classification of depression; and (iv) in this study, total 15 distinct ML and DL methods, including KNN, SVM, bagging SVM, RF, GB, Extreme Gradient Boosting, MNB, Adaboost, Bagging RF, BootAgg, Gaussian NB, RNN, 1DCNN, RBFNN and LSTM, that have been effectively utilized as classifiers to handle a variety of real-world issues.

1. Among all, alpha, alpha asymmetry, gamma and gamma asymmetry give the best results in linear features, while RWE, DFA, CD and AE give the best results in non-linear feature. 2. In the linear features, gamma and alpha asymmetry have given 99.98% accuracy for Bagging RF, while gamma asymmetry has given 99.98% accuracy for BootAgg. 3. For non-linear features, it has been shown 99.84% of accuracy for RWE and DFA in RF, 99.97% accuracy for DFA in XGBoost and 99.94% accuracy for RWE in BootAgg. 4. By using DL, in linear features, gamma asymmetry has given more than 96% accuracy in RNN and 91% accuracy in LSTM and for non-linear features, 89% accuracy has been achieved for CD and AE in LSTM. 5. By combining linear and non-linear features, the highest accuracy was achieved in Bagging RF (98.50%) gamma asymmetry + RWE. In DL, Alpha + RWE, Gamma asymmetry + CD and gamma asymmetry + RWE have achieved 98% accuracy in LSTM.

A novel dataset was collected from the Central Institute of Psychiatry (CIP), Ranchi which was recorded using a 128-channels whereas major previous studies used fewer channels; the details of the study participants are summarized and a model is developed for statistical analysis using N-way ANOVA; artifacts are removed by high and low pass filtering of epoch data followed by re-referencing and independent component analysis for noise removal; linear features, namely, band power and interhemispheric asymmetry and non-linear features, namely, relative wavelet energy, wavelet entropy, Approximate entropy, sample entropy, detrended fluctuation analysis and correlation dimension are extracted; this model utilizes Epoch (213,072) for 5 s EEG data, which allows the model to train for longer, thereby increasing the efficiency of classifiers. Features scaling is done using a standard scalar rather than normalization because it helps increase the accuracy of the models (especially for deep learning algorithms) while PCA is used for feature reduction; the linear, non-linear and combination of both features are taken for extensive analysis in conjunction with ML and DL classifiers for the classification of depression. The combination of linear and non-linear features (only for those whose accuracy is highest) is used for the best detection results.

The purpose of this study is to investigate the usage of digital technologies (DTs) in improving the mental health of workers on construction sites.

A mixed research approach was used in the study, which comprised a questionnaire survey and two phases of semi-structured interviews. Purposive sampling was used to determine the interviewees and respondents of the questionnaire survey. Weighted mean rating (WMR) and manual content analysis were used to rank and evaluate the collected data.

The findings of this study revealed bipolar disorder, anxiety disorders, attention-deficit/hyperactivity disorder, obsessive-compulsive disorder, work-related stress and depression as the six most significant mental disorders (MDs) among the construction workforce and 30 causes for them. Moreover, 27 symptoms were related to the six most significant MDs, and sweating was the most significant symptom among them. Despite that, 16 DTs were found to be suitable in mitigating the causes for the most significant MDs.

There are numerous studies conducted on the application of DTs to construction operations. However, insufficient studies have been conducted focusing on the application of DTs in improving the mental health of workers at construction sites. This study can thus influence the use of DTs for tackling the common causes for MDs by bringing a new paradigm to the construction industry.

Sleep arousal detection is an important factor to monitor the sleep disorder.

Thus, a unique nth layer one-dimensional (1D) convolutional neural network-based U-Net model for automatic sleep arousal identification has been proposed.

The proposed method has achieved area under the precision–recall curve performance score of 0.498 and area under the receiver operating characteristics performance score of 0.946.

No other researchers have suggested U-Net-based detection of sleep arousal.

From the experimental results, it has been found that U-Net performs better accuracy as compared to the state-of-the-art methods.

Sleep arousal detection is an important factor to monitor the sleep disorder. Objective of the work is to detect the sleep arousal using different physiological channels of human body.

It will help in improving mental health by monitoring a person's sleep.

This study aims to synthesize the existing serious games designed to promote mental health in adolescents with chronic illnesses.

This study conducted a review following the guidelines of Joanna Briggs Institute and Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews. Searches were conducted in databases PubMed, Scopus, Web of Science, Cochrane Library, cumulative index to nursing and allied health literature, PsycINFO, China national knowledge infrastructure Wanfang, VIP Database for Chinese Technical Periodicals and SinoMed from inception to February 12, 2023.

A total of 14 studies (describing 14 serious games) for improving the mental health of adolescents with chronic diseases were included. Of all the included games, 12 were not described as adopting any theoretical framework or model. The main diseases applicable to serious games are cancer, type 1 diabetes and autism spectrum disorder. For interventional studies, more than half of the study types were feasibility or pilot trials. Furthermore, the dosage of serious games also differs in each experiment. For the game elements, most game elements were in the category “reward and punishment features” (n = 50) and last was “social features” (n = 4).

Adolescence is a critical period in a person’s physical and mental development throughout life. Diagnosed with chronic diseases during this period will cause great trauma to the adolescents and their families. Serious game interventions have been developed and applied to promote the psychological health field of healthy adolescents. To the best of the authors’ knowledge, this study is the first to scope review the serious game of promoting mental health in the population of adolescents with chronically ill. At the same time, the current study also extracted and qualitatively analyzed the elements of the serious game.

Goal setting is a crucial aspect of client-centered practice in occupational therapy (OT) for mental health conditions. However, it remains to be seen how goal-setting has been delivered in mental health, particularly the OT process. The purpose of this scoping review was to explore the nature and extent of goal setting delivered in mental health and informed OT practice.

The authors followed the guidelines of Arksey and O’Malley (2005) and searched three databases using key search terms: “mental disorder,” “goal setting,” and “occupational therapy” and their synonyms.

After excluding duplicate records, the authors initially screened 883 records and resulted in 20 records in total after the screening process. Most of the identified articles used goal-setting delivered by both a health professional and a client (n = 14), and focused on people with schizophrenia or schizoaffective disorder (n = 13), but three interventions were delivered by occupational therapists. Further research needs on goal-setting in mental health OT, exploring the reliability and validity of different goal-setting strategies and investigating the effectiveness of goal-setting for promoting behavior change and client engagement across various mental health conditions and settings.

The scoping review has some limitations, such as not investigating the validity and reliability of goal-setting strategies identified, and excluding conference papers and non-English articles.

This scoping review presents a mapping of how goal-setting has been delivered in mental health and informed OT practice. The findings suggest limited research in OT and highlight the need for more studies to address the evidence gap in individualized client-centered OT.

The purpose of this study is to determine the psychological features of providing initial psychotherapeutic assistance to victims, in particular to military servants.

Theoretical analysis of scientific works; observation of servicemen in hospital conditions; conversations with servicemen and doctors; and interviews with foreign colleagues.

As a result of theoretical and empirical research, it was found that initial psychological assistance is more effective if it is provided in a timely and comprehensive manner in cooperation with medical assistance, if the recommended exercises are performed systematically by the victim and if a certain algorithm for providing initial psychotherapeutic assistance is used.

The authors present their own algorithm for providing initial psychological assistance to military servants: psychophysiological stabilization; adjustment of emotional balance; restoration of cognitive processes and acquisition of constructive coping strategies; and formation of life meanings that provide an opportunity to survive the crisis period of life. In this paper, the authors also note the importance of providing psychological first aid to victims of extreme situations in a timely manner, which helps reduce the intensity of symptoms of acute stress disorder and reduces the likelihood of post-traumatic stress disorder.

The purpose of this paper is to explore the perception of the mental health problems of the homeless population in a high-income country (Luxembourg) by social service providers and to develop proposals for better inclusion of homeless people into the mental health services and homeless people with mental health issues into society.

The study was of qualitative design and conducted using a semi-structured interview method (in person). The semi-structured interviews (seven participants) were conducted to analyse the challenges, practice approaches and prospects of stakeholders or decision-makers working in housing exclusion and homelessness. A secondary thematic analysis of this content regarding mental health issues was performed.

Three main themes in the social providers’ perception were identified related to mental health and homelessness: the general view on the mental health problems of homeless people (accent on substance use disorders [SUDs], overshadowing of other mental health conditions by the SUDs); the positive impact of housing and social services on the mental health of the homeless per se (role of social rhythms, social connectedness and multidisciplinary approach are emphasised); and the need for improvement of mental health services in the country (need for the long-term timely continuing mental health support and recognition of the importance of complex intersectional and multidisciplinary solutions).

Mental health themes were not the primary focus while research was planned and conducted. They were revealed as results of secondary qualitative data analysis. Therefore, additional mental health-focused mixed methods research is needed to verify the conclusions. The paper is written on the results of the research project “Social Housing and Homelessness” (SOHOME), implemented at the University of Luxembourg with the financial support of the Fonds National de la Recherche of Luxembourg (FNR12626464). The sponsor had no involvement in the study design, the collection, analysis and interpretation of data or the preparation of the paper.

The study brings together different perspectives from social workers, stakeholders and decision-makers. The results show that there are cross-field connections between homelessness and mental health that require specialised and coordinated services. The first existing approaches seem to be promising in their continuation but need to be promoted by social policy.

To promote social cohesion in the Luxembourgish society and also to include one of the most vulnerable people, the study points to the importance of the link between homelessness and compromised mental health. Appropriate support and service provision as well as social and affordable housing play a central role.

To the best of the authors’ knowledge, this study is the first of its kind, revealing several social work stakeholders’ perspective on the mental health of homeless people in Luxembourg.