Dangerous Behavior Research Articles

Reduction in Restraint and Critical Incidents in a Norwegian Residential Treatment Facility for Children Aged 7–13 Following the Implementation of the Neurosequential Model of Therapeutics

In child and adolescent inpatient, residential and day-treatment facilities, the use of physical restraints and the occurrence of critical incidents are a significant problem. Restraints may sometimes be necessary if a child exhibits dangerous aggressive behavior, but may also be misused or overused, and have been shown to be preventable in many cases. This study aims to investigate if the implementation of the Neurosequential Model of Therapeutics (NMT) has an effect on the annual number of physical restraint incidents in a residential treatment facility for children with complex mental health disorders. Data before and after NMT implementation were collected from the agency’s restraint records. The results showed that post-NMT implementation, there was a substantial and sustained reduction in restraint incidents, with a Cohen’s d value of 2.03, indicating a very large effect. Limiting restraint use in treating children with complex mental health disorders can foster a safer and more therapeutic environment, with potential improvements in treatment outcomes. This study demonstrated a substantial drop in restraint incidents following the implementation of the Neurosequential Model in a residential facility for children aged 7–13. This reduction is presumably pivotal for children with complex mental health disorders, making treatment less coercive and offering promise for settings in which restraint incidents are a concern.

Socio-Economic Determinants of Human Negligence in Wildfire Incidence: A Case Study from Pakistan’s Peri-Urban and Rural Areas

This study aims to examine the socio-economic determinants of human negligence in wildfire occurrences across Pakistan’s peri-urban and rural regions. Increasingly frequent and severe wildfires, driven by climate change, socio-economic conditions, and human negligence, have become a pressing issue. Rising global temperatures and changing precipitation patterns have created drier conditions, while unsafe human activities—such as improper disposal of flammable materials and unsafe agricultural burning—further escalate wildfire risks. These issues are particularly pronounced in Pakistan, where high poverty levels, limited resources, and low education contribute to dangerous behaviors. Weak governance and poor policy enforcement further exacerbate the problem. Data were collected using a cross-sectional survey from 500 participants across five regions. Multiple regression analysis revealed that higher poverty levels significantly increased negligence, whereas higher education and improved access to resources reduced it. Structural Equation Modeling (SEM) highlighted the critical roles of local governance, policy enforcement, and community engagement in mitigating wildfires. Correlation analysis indicated an inverse relationship between wildfire risk awareness and negligent behavior. Chi-square tests demonstrated a strong connection between wildfires and migration patterns, underscoring the socio-economic instability caused by these events. Finally, linear regression showed that wildfires significantly impact regional climate indicators, emphasizing the need for integrated management strategies. This study offers valuable insights into the socio-economic factors driving wildfires in Pakistan and provides guidance for developing targeted mitigation strategies.

The Influence of Cyber Victimization, Internet Use, and Perception of Cyberbullying-on-Cyberbullying Perpetration among Korean Adults: A National Sample-Based Study.

Although cyberbullying has emerged as a serious problem even among adults, most researches have been conducted on the adolescents. We aimed to verify the independent effects of cyber victimization, internet use, and the perception of cyberbullying-on-cyberbullying perpetration in South Korea adults. The data of 1500, 20s to 50s Korea adults from the 2019 Survey on the Cyberbullying conducted by the National Information Society Agency were used. A hierarchical multiple regression analysis indicated that cyber victimization and internet use were positively related to cyberbullying perpetration. In particular, the perception of cyberbullying was negatively associated with cyberbullying perpetration. This study is an early effort to verify the influence of the perception of cyberbullying-on-cyberbullying perpetration. Educating that cyberbullying is an illegal and dangerous behavior is important to prevent cyberbullying perpetration.

A pre-action indication of making stop/go decisions at flashing-light-controlled grade crossings based on drivers’ EEG information: A driving simulation experiment with audio-warning assistance

This study found that the electroencephalogram (EEG) information is a prior indication for sensing drivers’ imminent actions. It is possible to get to know the drivers’ intentions before their next moves, providing huge potentials of early interventions on the occurrence of accidents. A driving simulation experiment was conducted to identify EEG patterns during pre-action decision-making, assess their roles in stop/go decisions, and evaluate the impact of warnings on EEG signals. Four driving groups were divided based on drivers’ stop/go decisions and the influence of dilemma-zone effect, which could reflect drivers’ abilities to stop safely at the onset of flashing red light. The results revealed significant variations in EEG signals among the four driving groups, highlighting EEG as a sensitive pre-action indication. EEG changes indicated that with warning assistance, drivers have enhanced situational awareness, are able to make a stop/go decision in advance, and have less workload on visual search when approaching grade crossings. Such EEG patterns could interpret drivers’ stop/go decisions with a highest accuracy of 97.11%, and could identify potentially dangerous behaviors. These insights have implications for pre-event intervention based on EEG monitoring using non-contact devices.

Update and validation of the Beliefs about Losing Control Inventory-II (BALCI-II): a psychometric investigation

ABSTRACT The Beliefs about Losing Control Inventory (BALCI) was developed to assess negative beliefs about losing control in obsessive-compulsive disorder (OCD). Since its creation, research and theoretical work support negative beliefs about losing control as a potential transdiagnostic construct. The present study revised and expanded the original BALCI to be more inclusive of control-related concerns beyond those that would be expected in OCD (e.g. concerns about losing control over how one comes across to others in social anxiety disorder; SAD). Undergraduate students (N = 440) completed a questionnaire battery including the BALCI-II item pool. An exploratory factor analysis of the 32-item BALCI-II supported a four-factor solution. Three of the identified factors capture the feared consequences of losing control: 1) overwhelming emotions, 2) dangerous behaviour, and 3) madness. The fourth factor captures inflated beliefs about probability/severity of those losses. The BALCI-II was found to have good convergent and divergent validity, good to excellent internal, and retest reliability and was shown to have predictive utility in both OCD and SAD, above and beyond existing disorder-specific maladaptive belief domains. Results suggest the BALCI-II is an improvement over the previous version and supports the relevance of these beliefs beyond OCD.

Corticotropin-Releasing Factor Modulates Binge-Like Ethanol Drinking in a Sex-Dependent Manner: Impact of Amygdala Deletion and Inhibition of a Central Amygdala to Lateral Hypothalamus Circuit

BackgroundBinge alcohol drinking is a dangerous behavior that can contribute to the development of more severe alcohol use disorder. Importantly, the rate and severity of alcohol use disorder has historically differed between men and women, suggesting that there may be sex differences in the central mechanisms that modulate alcohol (ethanol) consumption. Corticotropin-releasing factor (CRF) is a centrally expressed neuropeptide that has been implicated in the modulation of binge-like ethanol intake, and emerging data highlight sex differences in CRF systems. MethodsIn the current report, we characterized CRF+ neurocircuitry arising from the central nucleus of the amygdala (CeA) and innervating the lateral hypothalamus (LH) in the modulation of binge-like ethanol intake in male and female mice. ResultsUsing chemogenetic tools, we found that silencing the CRF+ CeA to LH circuit significantly blunted binge-like ethanol intake in male but not female mice. Consistently, genetic deletion of CRF from neurons of the CeA blunted ethanol intake exclusively in male mice. Furthermore, pharmacological blockade of the CRF type-1 receptor in the LH significantly reduced binge-like ethanol intake in male mice only, while CRF type-2 receptor activation in the LH failed to alter ethanol intake in either sex. Finally, a history of binge-like ethanol drinking reduced CRF messenger RNA levels in the CeA regardless of sex. ConclusionsThese observations provide novel evidence that CRF+ CeA to LH neurocircuitry is more sensitive for modulating binge-like ethanol intake in male mice, which may provide insight into the mechanisms that guide known sex differences in binge-like ethanol intake.

Psikoedukasi Pendidikan Sek Guna Mencegah Kekerasan Seksual Pada Anak Tunawisma

The phenomenon of sexual violence against children is increasing, demanding serious attention in prevention efforts. Psychoeducation regarding sex education for children, especially homeless people, is important to equip them with the knowledge and skills to protect themselves. This program aims to provide information about types of sexual violence, signs, and how to protect yourself. The methods used include providing materials, motivation and mentoring, with a focus on an interactive and inclusive approach. Results showed increased children's knowledge about reproductive health and ability to identify dangerous situations. Support from parents and the community is crucial in creating a safe and supportive environment. It is hoped that this collaboration can reduce the risk of dangerous sexual behavior and increase collective awareness about the importance of early sex education.

Predictive Model of Risk Behaviour in the University Student Community

Aim. The study aimed to attempt to explain the probable causality of undertaken risk behaviours in a group of university students, from the perspective of various predictors (which included low individual and social resources, as well as other risk behaviours). The choice of predictors was dictated, among other things, by the assumptions of risk behaviour theory and gateway theory. Methods. The research was conducted among university students from many cities in Poland. Empirical data were collected using the survey method. The tool was a survey questionnaire, constructed from the author's scale and the Resilience Scale by Gail Wagnild in the Polish adaptation by Janusz Surzykiewicz and Karol Konaszewski (2019). The data were statistically analysed. The target procedure became path analysis. Results. The study revealed several plausible predictive factors for specific risk behaviours of students. Analyses included behavioural categories such as the use of psychoactive substances and behaviour associated with them, risky sexual contact, low physical and psychosocial health care, dangerous behaviour in daily life, and disclosure of images and private data on the Internet. Each form of risky behaviour was situated in the model. The predictive factors in the path structure were identified as, among others, low social and cultural resources and low levels of resilience. It also appeared that some risk behaviours may be predictors for others. Conclusion. The study reveals that not only syndromes of risk behaviours, but even entire risk pathways creating the possibility to infer probable causality, are noticeable in the group of university students.

Using posture recognition algorithms based on machine learning to identify senior health

Faced with the situation that the elderly people at home have dangerous behaviors, the study explores various aspects of motion target detection, real-time target tracking and behavioral pose recognition and classification, using behavioral poses in videos as samples. To tackle the challenges in detecting motion targets, a target detection method based on Gaussian mixture model (GMM) and four frame difference method is proposed; A tracking technique incorporating Kalman filter (KF) is investigated to trail the behavioral changes of the elderly in actual time. A seven-layer convolutional neural network (CNN) is constructed to face the problem of inaccurate behavioral pose recognition. Through relevant experimental analyses, the outcomes show that the increased GMM detection way has a complete profile and the accuracy is significantly improved. The KF target tracking technique can trail the object trajectory in actual time and steadily, with the smallest trailing error value of 0.19. The classification accuracy of the CNN pose recognition model is 95.87%, and the pose classification time is 27 seconds. Its performance is superior to the mean shift algorithm, particle filter algorithm, and Cam Shift algorithm in all aspects. When applied in practice, it can accurately identify whether the elderly’s behavior is abnormal and ensure their daily health.

Study of the effects of different mechanical mishaps or Traumatic Brain Injury(TBI) on brain region: A Review

The following concerns and measures of neurotrauma are discussed here: It expands more on the protection role that the skull encompasses regarding the encephalon together with a detailed explanation of the effects of head injuries and their implications, which may include coma or death as a result of fractures or dysfunctions. The text gives descriptions of the incidence, especially in car-related accidents, and details about TBI such as the symptoms and the issues likely to occur as a result of the injury. The paper also draws attention to certain dangerous behaviors; such as; non-utilization of seat belts, driving when drunk, no helmet usage, and inadequate supervision to eliminate traumatic brain injury. Among the changes in management of the TBIs whether surgical or through medication, the text lastly highlights the fact that more emphasis has been placed on preventing this condition than on finding a cure for it.

Supporting driver performance in closely spaced tunnel-interchange structure: Traffic control devices and effects on driving behavior

Objectives With the rapid development of expressways in the mountainous regions of southwestern China, closely spaced tunnel-interchange structures have inevitably emerged due to topographical constraints and environmental limitations. Given the unfavorable road geometry and rapid cross-section transitions, drivers face significant safety concerns. This study aims to investigate drivers’ safety performance at closely spaced tunnel-interchange sections and determine how safety risks can be mitigated through improved traffic control devices design. Methods Thirty-nine participants conducted an experimental study in a fixed-base simulator. The test scenario was modeled on the Xingyan Freeway-S3801 and accurately reproduced in the simulator. For each safety performance metric, the driving simulator experiments yielded a dataset with 780 observations. To address the idiosyncratic variation due to individual driver differences, a series of linear mixed effects models (LMM) were developed to analyze drivers’ behavior responses. Results In closely spaced tunnel-interchange sections, a general impairment of both longitudinal and lateral performance was observed. This study identified potential critical impact variables in traffic control device systems. According to the LMM results: (a) Removing the 0.5 km interchange ramp exit advance guide sign located in the tunnel exit area reduces dangerous behavior in the corresponding impact area. (b) Replacing the 0.5 km interchange ramp exit advance guide sign with arrow pavement markers as an information source supports improved driver performance, promoting driver safety. (c) Adding tunnel exit distance signs within tunnels is recommended to enhance situation awareness for drivers. Conclusions This study addresses the scientific issues related to traffic control devices setup for closely spaced tunnel-interchange sections, focusing on identifying potential critical impact variables. The findings provide guidance on the design of traffic control devices for such sections and support revisions to national engineering standards.

Fifty Years of Psychiatric Classification and Epidemiology Interactions: What is a Mental Disorder?

Psychiatric clinical diagnostic formulation has evolved over time. The changes alter our understanding and our ability to provide a public health perspective on the epidemiology of mental disorders in large populations. Epidemiology is an important perspective and set of tools to assess prevalence, treated prevalence, untreated prevalence, individual risks for mental disorders, and possible links to the etiology of disorders by following the trails of environmental exposures, biological measures, interpersonal dynamics, and genetic risk factors. As communities develop health-care services to treat individuals with mental disorders, knowledge about their prevalence and treatment requirements is also important. Since severe mental disorders may require institutional care, the diagnostic criteria used may either protect an individual’s liability for dangerous behavior (i.e. the insanity defense) or be used to control political and social dissidents. The criteria may also be used to determine evidence-based treatment options and eligibility for disability benefits. In this paper, using my vantage points as a physician scientist and public health officer, with leadership positions in national federal and professional mental health organizations, I address the developments in these areas over the past 50 years that have influenced institutional positions in the U.S. National Institute of Mental Health, the World Health Organization, the American Psychiatric Association, and the Center for the Study of Traumatic Stress. These perspectives may aid the next generation of investigators to advance the epidemiological and mental disorder classification scientific fields.

Virtual criminal encroachments on sexual freedom or inviolability in the space of the Metaverse

The article substantiates the identity between the psychosomatic reactions of the human biological body and the information received by the user in the Metaverse through the extended reality technology. It is proved that the psychological connection between the user and his/her avatar depends not so much on the similarity between them, but on the efforts and resources spent on creating such an image. It is substantiated that users of virtual worlds to some extent associate or identify themselves with their virtual bodies or characters, and a significant part of the virtual experience is perceived as a very real experience. The sense of one's own virtual presence can be so compelling that it can affect the degree of self-identity of a person, and therefore virtual forms of sexual or other abuse can be experienced as physical and directly participate in the mechanism of causing socially dangerous harm. The author considers certain ways of encroaching on sexual freedom or sexual inviolability, in particular, fraud, body blending using deepfake technology, taking possession of an avatar, forcing it to perform certain actions, overt verbal and graphic actions, covert actions, causing tactile sensations without the consent of another person, socially dangerous behaviour of bots and algorithms that control the space of a certain Metaverse with the help of artificial intelligence. Based on the study, the author proposes to supplement the Criminal Code of Ukraine with new provisions aimed at preventing criminal offences against sexual freedom or sexual inviolability in the virtual space of the Metaverse. For the purposes of legal regulation, the author proposes to distinguish certain parts of the Metaverse and, according to the criteria of control and functional purpose, to divide them into closed (individual), corporate (collective) and public spaces.

Motivations for hazing in collegiate settings: Employing situational strength to identify, disrupt, and construct

AbstractHazing is motivated by numerous psychosocial phenomena embedded in the broader cultural milieu. The identification and deconstruction of these motivators presents an especially unique pathway to eliminating harmful and dangerous behaviors. The application of situational strength to hazing prevention offers a robust and applicable framework to help administrators and professionals impactfully disrupt hazing and reshape the larger campus and organizational ecology to support healthier joining experiences.

Disability, recruitment and job retention: Identifying barriers and facilitators from the employers' point of view.

Despite increased public awareness of the professional, integration of people with disabilities, they encounter more difficulties than their non-disabled counterparts in accessing employment. The aim of this study was to gain a better understanding of the barriers and facilitators to hiring and retaining people with disabilities from the perspective of employers in the private and public sector in France. This was a qualitative study using semi-structured interviews with forty-two employers from public structures or private companies. The Consolidated Criteria for Reporting Qualitative Research was used as a guideline to secure accurate and complete reporting of the study. Among barriers we found that 1. Stereotypes persist about disability, still associated with lower productivity and dangerous behaviour; 2. Disabilities were associated with costs that were considered too high; 3. Disabilities management was seen as an administrative burden. 4. The bumps of inclusion. We also highlighted facilitators such as 1. A public sector is a more favourable environment 2. Employer's personal motivation to hire people with disabilities; 3. The support by Job Coaches was seen as a powerful facilitator. The decision to hire people with disabilities depends on many personal, societal and organisational factors. This study has contributed to a better understanding of their interrelationships and could be useful in developing more effective strategies for the inclusion of people with disabilities.

Emergency Department Utilization Due to Challenging Behavior in Children and Adolescents Diagnosed with Autism Spectrum Disorder.

Children and adolescents with autism spectrum disorder (ASD) are at a greater risk of seeking emergency department (ED) services during behavioral crises, such as acute aggression, suicidal or homicidal ideation, self-injury, or other types of challenging behavior (e.g., pica, dangerous behaviors). Research demonstrates children and adolescents with ASD often return to the ED due to challenging behavior, suggesting that gaps in care exist (e.g., follow-up appointments, referrals). However, the current knowledge basis is largely based on data from other countries. Given the unique landscape of healthcare in the United States, it is prudent to elucidate characteristics of children and adolescents with ASD who are seeking emergency care due to challenging behavior, as well as systems-level factors that both contribute to our understanding of challenging behavior and ASD in ED settings. In this study, we focus on frequency and characteristics of children and adolescents with ASD presenting to the ED with challenging behavior over the course of a 6-year period in the Midwest region of the United States. Clinical implications for ED staff are discussed.

Examining the impact of knowledge, supervision, and work fatigue on unsafe actions among warehouse workers

Unsafe actions are dangerous behaviors that can cause work accidents, resulting in injury or death. Warehouses are high-risk areas for such incidents due to the presence of unsafe actions during work processes. This study aims to explore the relationship between knowledge, supervision, and work fatigue with unsafe actions among warehouse workers at PT Cipta Krida Bahari Samarinda. This quantitative study employs a cross-sectional design, with a sample size of 50 workers using the total sampling technique. The independent variables are knowledge, supervision, and work fatigue, while the dependent variable is unsafe action. Data analysis utilized univariate and bivariate (chi-square) methods. Results indicated that 54 percent of workers engaged in unsafe actions, 60 percent had good knowledge, 56 percent reported good workplace supervision, and 54 percent experienced fatigue. Bivariate analysis showed no significant relationship between knowledge (p=0.203) and work fatigue (p=0.168) with unsafe actions. However, a significant relationship was found between supervision (p=0.019) and unsafe actions. It is recommended that the company enhance supervision practices and enforce strict penalties for violations to minimize unsafe actions among workers.

NREM parasomnia-related behaviors and adverse childhood experiences

PurposeTo assess the prevalence, types, sociodemographic factors, and reported dangerous activities of sleep-related behaviors likely representing NREM parasomnia episodes, as well as their association with adverse childhood experiences in Hungary. MethodsCross-sectional survey of 1000 adults (aged ≥18 years) representing the Hungarian population, using a non-probability quota sampling with a random walk method and a structured face-to-face interview. A multi-criterion weighting procedure was applied to correct bias along the main sociodemographic variables to the data available. Binary logistic regression estimated the odds of NREM parasomnia-related behaviors associated with sociodemographic factors and adverse childhood experiences. ResultsThe prevalence of NREM parasomnia-related behaviors was 2.7 %, and self-reported sleep-eating was 0.1 % of the population (4.6 % of parasomnia-like activities). For middle-aged adults, the odds of sleep ambulation were significantly lower than for younger adults (OR 0.3; P = 0.03). A participant's family occurrence of reported parasomnia-like activity increased their odds of having it by more than 7 times (OR 7.1; P < 0.001). Nine participants out of those 27 people reporting NREM parasomnia-related behavior episodes, reported childhood adverse experiences, increasing the odds of parasomnia-related behavior by more than six times (OR 6.2; P < 0.001) compared to those not reporting it. ConclusionThis is the first population survey in Hungary on adult sleep-related behaviors likely representing NREM parasomnia episodes and the potential association with childhood traumatic events preceding them. The related dangerous behaviors call for safety measures and prevention. The significant association between adverse childhood events and NREM parasomnia-related behaviors needs further analysis.

Prevention of Occupational Accidents and Occupational Diseases with Supervised Machine Learning Algorithms: Different Sector Applications

Abstract − The Occupational health and safety is a discipline that prevents work accidents and occupational diseases with a proactive method. For employee health, countries have legal responsibilities within the scope of international conventions, and employers have national responsibilities. It is obligatory for employers to carry out risk assessments, provide occupational safety trainings, carry out inspections, employ occupational safety specialists and workplace physicians, and record all work regard work safety. In countries, inspections are carried out with labor inspectors and private companies provide occupational safety services. However, it is difficult for the authorities to monitor occupational safety in large industrial facilities such as petrochemicals and refineries, where the flow of workers, materials and work equipment is too much and very fast. As workplace capacity, number of employees and material flow increase, the type and number of work accidents and occupational diseases also increase. Artificial intelligence technologies facilitate these follow-ups. The purpose of this article is to investigate the proactive prevention of the factors that cause work accidents and occupational diseases with supervised machine learning algorithms in different sectors. A literature search was conducted on sciencedirect, scopus, googlescholar databases. It has been examined what kind of algorithms are used in which sectors. According to the studies in the literature and applications in different sectors, the data collected with sensors and stored with cloud computing are fed to the relevant supervised machine learning algorithms that have been trained and tested before, and the factors that cause work accidents and occupational diseases are determined in advance. In addition to sound, image, health, location and environment data, physical parameters such as distance, level and pressure are monitored instantly with sensors. Managers are warned when a dangerous situation or behavior is detected in and threshold values are exceeded. In addition to employee and vehicle location tracking, predictive maintenance is provided by monitoring the performance of work and production vehicles. With the decrease in occupational accidents and diseases, occupational safety performance increases and costs decrease.

Клинико-психологические факторы в контексте правосознания больных шизофренией, совершивших общественно опасные деяния

&lt;p style="text-align: justify;"&gt;The work is aimed at the study of clinical and psychological factors that determine the legal consciousness of schizophrenia patients who have committed SDA. The materials of an empirical study obtained on a sample of schizophrenia patients undergoing compulsory treatment in a psychiatric hospital are presented. The study involved male 62 patients aged 18 to 35 years. Methods of pathopsychological research: Dembo&amp;mdash;Rubinstein&amp;rsquo;s &amp;ldquo;Self-assessment&amp;rdquo;, MMPI, &amp;ldquo;The level of subjective control&amp;rdquo; by Rotter, &amp;ldquo;Ways of coping behavior&amp;rdquo; by Lazarus, pathopsychological functional tests &amp;mdash; &amp;ldquo;Exclusion of objects&amp;rdquo;, &amp;ldquo;Pictogram&amp;rdquo;. The pathopsychological features reflecting significant differences in the patients&amp;rsquo; legal consciousness have been established. New psychological information confirms the need to personalize psychological support during compulsory treatment. The key aspects of psychological work aimed at the prevention of socially dangerous behavior are the consideration of the attitude of patients to the disease and to the committed offense, as well as their individual psychological characteristics in order to reduce maladaptive and criminogenic behavioral stereotypes and the transformation of defects of legal consciousness.&lt;/p&gt;