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This study aims to examine whether psychopathic traits are associated with “unsuccessful” life outcomes in a community sample. While it is not easy to define what a successful life is, as it varies by context and developmental stage, there is a consensus in psychological research on what constitutes an unsuccessful life, as measured by the revised Unsuccessful Life Scale. This concept of unsuccessful life encompasses areas such as family and health, alcohol and drug use and work and job satisfaction, which, when compromised, are essential components of an unsuccessful 21st-century life.

The study continues the work carried out in the prospective longitudinal Cambridge Study in Delinquent Development by including the offspring (n = 551 G3 females and males) of the original 411 G2 males.

A small proportion of G3 individuals (6.5%, n = 36) were having an unsuccessful life, and 23.3% (n = 124) of them were exhibiting a high level of psychopathic traits as measured by the PCL:SV. The results suggest that some psychopathic traits are an integral part of an unsuccessful mix. For instance, for both males and females, drug use and physical fights were significantly associated with psychopathic traits. However, there were some differences, where a wider range of unsuccessful outcomes was associated with psychopathic traits in males (e.g. unsatisfactory accommodation) compared to females (e.g. unsatisfactory intimate relationships).

It seems that the costs of psychopathic traits outweigh the benefits when it comes to success in life. The implications of these findings are discussed.

In this study, the research question posed was: What are the defining characteristics, limitations, and potential opportunities in the research on heterogeneity within ASD?

This scoping review used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses methodology to address the research question: “What are the defining characteristics, limitations, and potential opportunities in the research on heterogeneity within ASD?” A comprehensive literature search was conducted across databases including MEDLINE/PubMed, SciVerse Scopus and Springer Link, with keywords such as autism, autism spectrum disorder (ASD), heterogeneity and neurodevelopment. Inclusion criteria covered original research, reviews and protocols published since 1990, while irrelevant or out-of-date works were excluded. Thematic analysis was applied to collected data to identify common patterns, trends and key characteristics, leading to a narrative synthesis. Ethical review board approval was not required due to the nature of the review.

The scoping review underscored the multifaceted nature of ASD, emphasizing its clinical, methodological and investigational complexities. ASD’s diverse behavioral, social and biological characteristics challenged its classification as a uniform entity. To address this, the review examined strategies like stricter clinical criteria, categorization into functional subgroups, and larger, diverse sample sizes. Moreover, it highlighted the transformative role of Big Data and machine learning in advancing the comprehension of ASD’s manifold manifestations. This research contributed valuable insights and innovative approaches for addressing the intrinsic heterogeneity of ASD, reshaping the understanding of this complex condition.

One limitation of this scoping review is that it primarily relied on existing literature and did not involve primary data collection. While the review synthesized and analyzed a substantial body of research, the absence of original data collection may limit the depth of insights into specific aspects of ASD heterogeneity. Future research could benefit from incorporating primary data collection methods, such as surveys or interviews with individuals with ASD and their families, to gain more nuanced perspectives on the condition’s heterogeneity.

The reliance on existing literature in this scoping review highlights the need for further empirical studies exploring ASD’s heterogeneity. Researchers should consider conducting primary data collection to capture real-world experiences and variations within the ASD population. This approach could provide more comprehensive and context-specific insights, ultimately informing the development of tailored interventions and support strategies for individuals with ASD and their families.

This paper offers a fresh perspective on understanding ASD by examining its clinical, methodological and investigational implications in light of its inherent heterogeneity. Rather than viewing ASD as a uniform condition, this study explores strategies such as stricter clinical criteria, subcategorization based on functionality and diverse sample sizes to address its complexity. In addition, this study highlights the innovative use of Big Data and machine learning to gain deeper insights into ASD’s diverse manifestations. This approach contributes new insights and promising directions for future research, challenging the conventional understanding of ASD as a singular entity.

The purpose of this paper is to outline what early support should be offered to children and young people with neurodevelopmental conditions including those who are autistic or have intellectual disability. A review of all child and adolescent mental health services (CAMHS) services in the Northwest completed by NHS England and Improvement (Doyle and Ryan, 2021) found that there was no clear Tier 2 offer (for mild to moderate mental health issues) for autistic children and young people or for those with intellectual disability. Following this review, a project group that had developed a model for mental health services for autistic children and young people and for those with intellectual disability (Wee et al., 2021) was tasked with articulating the “Getting Help” offer for children and young people with neurodevelopmental conditions, including intellectual disability.

A working group was created consisting of professionals from mental health, education and local authority and lived experience representatives of coproduction partners. A brief review of the background literature was also conducted. Six meetings were held to create a framework for the “Getting Help” offer and to discuss what the offer should be based on professional expertise and lived experience.

Recommendations for the Getting Help multi-agency offer included pre- and post-assessment support as part of a single attention deficit hyperactivity disorder/autism/neurodevelopmental pathway, community support for children with intellectual disability, access to adapted mental health support and the need for early recognition and support for avoidant and restrictive food intake disorder. Key themes from working group discussions included the reduction in the quality of services experienced by children and families due to silo working, which increased the risk of falling between multi-agency services and led to early signs of neurodevelopmental needs, or mental health issues being missed. Another theme was aiming for equity of access and outcomes.

This work is a response to a coproduced review of CAMHS in the Northwest and incorporates the lived experience of young people and families. It also adopts a holistic multi-agency neurodevelopmental approach rather than focusing on a single diagnosis or service.

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 chapter addresses one of the most common and long-standing problems among college students, namely depression, as well as a potential consequence of depression, suicide. A formal definition of depression is presented, and symptoms of depression are discussed. Notably, clinical depression is differentiated from “feeling down” or having “the blues.” Common measures of depression for college students are described, and the current prevalence of depression among college students is explored, along with data pertaining to trends and trajectories. Particular attention is devoted to differences in rates and severity of depression among students of various ethnicities, gender identities, disabilities and sexual orientations. Next, the chapter covers various theories about and studies on the causes and consequences of depression, as well as preventive and remedial efforts that students can engage in to minimize the adverse effects of depression. The chapter concludes with a focus on college student suicide, including its prevalence, predictors of suicidal thoughts and behaviors and prevention and treatment of college student suicide.

The purpose of this case report is to report the clinical experience of the use of gabapentin in the management of problem behaviors in a person with autism spectrum disorder and comorbid intellectual disability. Autism spectrum disorder is a neurodevelopmental disorder with a high prevalence of intellectual disability. Challenging behaviors in autism spectrum disorder are very common. In recent years, the hypothesis that the symptoms of autism derive from a deficiency of the inhibitory neurotransmission of gamma-aminobutyric acid is gaining considerable weight.

Exploring behavioral symptoms improvement in an adult man with ASD and severe intellectual disability taking gabapentin.

The rating scales used show improvement in challenging behaviors and aggressions. No side effects were observed.

Currently, there are no authorized drugs for the treatment of the symptomatic features of autism spectrum disorder, but drugs are used for comorbid psychopathological aspects. The authors want to speculate on a hypothetical function of gabapentin in remodeling the expression of alpha-2-delta subunits in people with autism and the processing of neural information.

The purpose of this paper is to examine community based, trauma informed to support refugee mental health and wellbeing, recognising that refugee status is met through forced displacement in which refugees have experience of personal human rights abuses and have survived atrocities in which family and community have been lost.

A co-production approach was taken to review existing literature and policy to produce a position statement on how to better meet the needs of people who experience mental distress who are refugees. The co-production was between refugee and mental health researchers and refugee representatives.

Understanding the mental health needs of refugees has conventionally focused on incidence of mental illness such as post-traumatic stress disorder and depression. If mental health and illness are understood as a continuum, diagnosis of mental illness indicates a significant problem, and furthermore access to services is predicated on risks associated with mental illness. When accessing mental health services, refugees have an added issue in a lack of communication availability and recognition of the trauma that they have survived.

In this paper, a different position is advocated, that understanding the mental health of refugees can be framed more effectively as a process of recovery from trauma that emerges during resettlement, and over a long period of time before people are able to talk about the trauma they experienced. Community-based responses that enable recovery from trauma are more readily able to meet the mental health and wellbeing needs of refugee communities.

The term recovery is an abstract concept. It differs for each and every person regardless of race, sexual orientation, culture or belief system. Throughout the age of modern medicine, doctors and scholars have tried to understand the concept of recovery for those in mental distress and those who are in the process of addiction. This chapter aims to highlight the different understandings of the concept of recovery from both a mental health and addiction perspective in order to gain a more in-depth understanding of the processes of recovery and how its definition and qualities have changed over time as new and more compelling clinical evidence emerges.

The overload of user-generated content in online mental health community makes the focus and resonance tendencies of the participating groups less clear. Thus, the purpose of this paper is to build an early identification mechanism for users' high attention content to promote early intervention and effective dissemination of professional medical guidance.

We decouple the identification mechanism from two processes: early feature combing and algorithmic model construction. Firstly, based on the differentiated needs and concerns of the participant groups, the multiple features of “information content + source users” are refined. Secondly, a multi-level fusion model is constructed for features processing. Specifically, Bidirectional Encoder Representation from Transformers (BERT)-Bi-directional Long-Short Term Memory (BiLSTM)-Linear are used to refine the semantic features, while Graph Attention Networks (GAT) is used to capture the entity attributes and relation features. Finally, the Convolutional Neural Network (CNN) is used to optimize the multi-level fusion features.

The results show that the ACC of the multi-level fusion model is 84.42%, F1 is 79.43% and R is 76.71%. Compared with other baseline models and single feature elements, the ACC and F1 values are improved to different degrees.

The originality of this paper lies in analyzing multiple features based on early stages and constructing a new multi-level fusion model for processing. Further, the study is valuable for the orientation of psychological patients' needs and early guidance of professional medical care.