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The purpose of this study is to re-examine the characteristics of compulsive buying behaviour (CBB) based on a new improved screener. The study analyses young compulsive buyer attitudes, decision-making, product preferences, the impact of credit card use and post-purchase perspectives in relation to CBB severity.

The study takes a quantitative approach to the analysis of compulsive behaviour among young consumers, using data from a questionnaire survey and a large sample. A wide range of statistical procedures and structural equation modelling are used in the analysis.

The segmentation of compulsive buyers, on the basis of disorder severity, provides important insights into the asymmetrical between-group variation in anxiety levels, product preferences, feelings, attitudes and credit card impact and the within-group variability in daily compulsivity patterns and associated shopping behaviour.

Although the overall used sample size is large, the subdivision of compulsive consumers into mild and severe categories resulted in a relatively small group of severely compulsive buyers; hence, further research is recommended to corroborate the findings from this study. In addition, this research does not address the disorder’s temporal dimension; therefore, future longitudinal studies should be undertaken to analyse the progression and characteristics of the disorder over time.

The significant differences between mild compulsive buyers and severely compulsive buyers make a significant contribution to counselling practitioners because of the different levels of support that should be offered in relation to the severity of the condition.

The study compares non-compulsive behaviour with occasionally compulsive, mildly compulsive and severely compulsive consumers using an improved screening tool. It identifies critical criteria that distinguish between mild and severe forms of the disorder, which have hitherto been neglected, yet represent key diagnostic and predictive factors, which can inform both early intervention and our understanding of CBB and its complexity.

The aim of this paper is to respond to the call for exploring and empirically testing both antecedents and outcomes of brand addiction and compulsive buying behaviour. The focus of the study is on the food habits of young female consumers.

To test the hypotheses, a survey design gathering cross-sectional primary data from 325 female Italian consumers and a structural equation modelling have been adopted.

Findings show that brand addiction is positively influenced by consumer resilience, leading to increased life happiness and self-esteem, while compulsive buying behaviour is negatively influenced by consumer resilience and positively influenced by impulsivity. Compulsive buying is also associated with brand addiction and emotional overeating. Emotional overeating is additionally influenced by impulsivity and the control variables of enjoyment of food and loneliness. Moreover, loneliness has a negative impact on life happiness and self-esteem.

The study applies the proposed theory by Mrad and Cui (2020) on the relationship between brand addiction and compulsive buying to food consumption. Furthermore, it expands on this research by investigating consumer characteristics as determinants and behavioural outcomes.

Students with emotional and behavioral disorders (EBD) are one of the most underserved populations in today's schools (Kauffman, Mock, & Simpson, 2011). Many of these students also have additional disabilities in conjunction with an EBD identification, such as Learning Disabilities (LD), Attention Deficit Disorder (ADD), Attention Deficit Hyperactivity Disorder (ADHD), Oppositional Defiant Disorder (ODD), or Obsessive Compulsive Disorder (OCD), among other psychiatric disorders (Henley, Ramsey, & Algozzine, 2009; Kauffman, 2005).

Because the identification of EBD examines behaviors that tend to be more subjective in nature than other disabilities and because these pervasive behaviors are manifested in a variety of forms, EBD is one of the most misidentified disability categories (Skiba, Poloni-Staudinger, Gallini, Simmons, & Feggins-Azziz, 2006). For students with EBD, the behavior(s) they exhibit contribute to learning difficulties in multiple academic and functional areas. This chapter provides in-depth information on the common characteristics and behavioral dimensions of this population. Additionally, the in-school performance and long-term outcomes of students with EBD are discussed.

The purpose of this study is to examine how the constructs of false self, preference for online social interaction (POSI), compulsive internet use (CIU), and online disinhibition affect social withdrawal in a social media context. The mediating effects of moral disengagement and cyber aggression are also tested.

Data were collected using an online survey (n = 533) from consumers in Japan. This study used structural equation modeling and PROCESS to examine the proposed relationships.

The study revealed that false self positively affects moral disengagement while online disinhibition positively affects cyber aggression and moral disengagement. Preference for online social interaction and compulsive internet use both positively impacts social withdrawal. Cyber aggression and moral disengagement were established mediators between false self/ Preference for online social interaction/ compulsive internet use/ online disinhibition and social withdrawal.

Although restricted to cyberaggression, owing to the reciprocal relationship between cyber victimization and cyberaggression, cyber victimization can be included for further study. This study expands the understanding of social withdrawal within the context of social media.

Based on the findings, policies and programs that address mental health that build self-esteem, self-confidence and reduce anxiety ought to be undertaken. Managing and formulating guidelines on anonymity should also be taken into consideration.

This research demonstrates the crucial constructs that affect social media users negatively from the aspects of cyberaggression, moral disengagement and social withdrawal. It also establishes the importance of mental health in reducing adverse effects from social media.

This paper aims to discuss major influencing factors causing users’ mobile social media fatigue and divides them into three hierarchies, including causal factors, intermediary factors and outcome factors. The study also sorts out connections between different levels of factors, thus providing effective guidance for the sustained development of social media.

Based on the grounded theory and by collecting data through in-depth interviews, the authors use open coding, axial coding and selective coding to analyze major influencing factors of users’ mobile social media fatigue, build a model using the software NVivo 11, organize and analyze mobile social media fatigue behavior and identify the relationships by combining the interpretive structural model and explore connections among the factors.

The influencing factors of mobile social media fatigue behavior conform with the stressors-strains-outcomes (SSO) theoretical framework, where stressors (S) include the five factors of fear of missing out, perceived overload, compulsive use, time cost and privacy concerns; strains (S) include the five factors of a low sense of achievement, emotional anxiety, reduced interest, social concerns and emotional exhaustion; outcomes (O) include the six factors of neglect behavior, diving behavior, avoidance behavior, tolerance behavior, withdrawal behavior and substitution behavior.

It focuses on the discussion of the interactions between users’ stressors, strains and outcomes without fully considering the impact of social environment and educational background on social media fatigue behavior. This study only focuses on one social media platform in the Chinese context, namely, WeChat. We reply on the qualitative research method to construct the relationships between social media fatigue factors because we were mainly interested in how users would respond psychologically and emotionally to social media fatigue behavior.

The study has extended the application of the SSO theory. Additionally, the research method and model used in this paper may serve as guidelines to other interested scholars who intend to explore relevant variables and conduct further research on the influencing factors of social media fatigue. In analyzing the causality of social media fatigue, the study has integrated the intermediary factor strain to display users’ strains from social media stress with a more detailed path discussion on the causality of social media fatigue, which has not received broad attention in previous research literature on social networking services users’ use.

In this study, text data are collected in a diversity of forms combined, allowing respondents to answer questions without being limited by the questions in the questionnaire, which helped us to identify new variables of social media fatigue. As a result, we were able to dig out the fundamental causes of social media fatigue and potential connections between the factors. Relevant scholars, users and businesses may analyze, manage and forecast users’ social media fatigue behavior by analyzing the type of social media stress and users’ state, providing guidance for the proposal of corresponding management strategies.

Most relevant studies focus on the sustained use of social media, and there is a scarcity of studies on social media fatigue in China. There is very limited research that conducts model analysis of social media fatigue through the integration of stressors, strains and outcomes.

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.

This article sets out to provide information regarding the evidence base for psychological treatments and to demonstrate that the number of mental health professionals who are available and competent to deliver these treatments is very small compared with the numbers of people who might benefit. The article also considers the prevalence of conditions that are amenable to psychological treatment and then explores how ‘stepped care’ may be one solution for providing available treatment resources in a way that is fairest and most effective for the population at large.

Although first rank symptoms focus on positive symptoms of psychosis they are shared by a number of psychiatric conditions. The difficulty in differentiating bipolar disorder from schizophrenia with affective features has led to a third category of patients often loosely labeled as schizoaffective. Research in schizophrenia has attempted to render the presence or absence of negative symptoms and their relation to etiology and prognosis more explicit. A dichotomous population is a recurring theme in experimental paradigms. Thus, schizophrenia is defined as process or reactive, deficit or non-deficit and by the presence or absence of affective symptoms. Laboratory tests confirm the clinical impression showing conflicting responses to dexamethasone suppression and clearly defined differences in autonomic responsiveness, but their patho-physiological significance eludes mainstream theory. Added to this is the difficulty in agreeing to what exactly constitutes useful clinical features differentiating, for example, negative symptoms of a true deficit syndrome from features of depression. Two recent papers proposed that the general and specific cognitive features of schizophrenia and major depression result from a monoamine-cholinergic imbalance, the former due to a relative muscarinic receptor hypofunction and the latter, in contrast, to a muscarinic hypersensitivity exacerbated by monoamine depletion. Further development of these ideas will provide pharmacological principles for what is currently an incomplete and largely, descriptive nosology of psychosis. It will propose a dimensional view of affective and negative symptoms based on relative muscarinic integrity and is supported by several exciting intracellular signaling and gene expression studies. Bipolar disorder manifests both muscarinic and dopaminergic hypersensitivity. The greater the imbalance between these two receptor signaling systems, the more the clinical picture will resemble schizophrenia with bizarre, incongruent delusions and increasingly disorganized thought. The capacity for affective expression, by definition a non-deficit syndrome, will remain contingent on the degree of preservation of muscarinic signaling, which itself may be unstable and vary between trait and state examinations. At the extreme end of muscarinic impairment, a deficit schizophrenia subpopulation is proposed with a primary and fixed muscarinic receptor hypofunction.

The genomic profile of bipolar disorder and schizophrenia overlap and both have a common dopaminergic intracellular signaling which is hypersensitive to various stressors. It is proposed that the concomitant muscarinic receptor upregulation differentiates the syndromes, being marked in bipolar disorder and rather less so in schizophrenia. From a behavioral point of view non-deficit syndromes and bipolar disorder appear most proximate and could be reclassified as a spectrum of affective psychosis or schizoaffective disorders. Because of a profound malfunction of the muscarinic receptor, the deficit subgroup cannot express a comparable stress response. None -theless, a convergent principle of psychotic features across psychiatric disorders is a relative monoaminergic-muscarinic imbalance in signal transduction.

The purpose of this paper is to examine the role of a variety of developmental factors on sexual homicide offenders (SHOs), while taking into account other components of sexual homicide theoretical models.

A series of logistic regression models are performed using a total of 616 incarcerated adult male sexual offenders from Canada to distinguish between three groups of sexual offenders, SHOs, violent non-homicidal sex offenders (NHSOs) and NHSOs.

Results indicate that contrary to theoretical models, experiences of victimization are not central to the development of SHOs. Instead, it is the adoption of various problematic behaviors in childhood that appear as most important in the etiology of this particular type of sexual crime. This suggests that the various existing theoretical models of sexual homicide need to be revised and/or tested with additional empirical data.

This is the first study to look at developmental factors using two control groups of NHSOs and violent NHSOs.

Medication may be used to treat two broad types of mental health problem: psychiatric disorders (such as depression, schizophrenia or obsessive‐compulsive disorder) and challenging behaviours (such as self‐injury, impulsive aggression or inappropriate sexual behaviour). The effectiveness of medication in the treatment of psychiatric disorder is well established for the non‐learning‐disabled population. In clinical practice, medication seems to be broadly as effective for people with learning disabilities. The effectiveness of medication in the treatment of challenging behaviours is less well established, although evidence for effectiveness is accumulating for some types of problem behaviour. When treating behavioural problems, medication is often used in combination with other management strategies. Knowledge of side effects is important, because people who have difficulty communicating may not be able to Report problems before they become severe. When using medication, it is important to try to achieve the best benefit: risk ratio, taking into account the person's other health problems and disabilities. It may be necessary to measure treatment effects, using standardised assessments or individual measures of target symptoms or behaviours.