Comprehensive psychiatry最新文献

Introduction

With the inclusion of gaming disorder in the ICD-11, diagnostic criteria were introduced for this relatively new disorder. These criteria may be applied to other potential specific Internet-use disorders. The 11-item Assessment of Criteria for Specific Internet-use Disorders (ACSID-11) was developed for consistent screening of gaming disorder, online buying-shopping disorder, online pornography-use disorder, social networks-use disorder, and online gambling disorder. This study tested the construct validity of the ACSID-11, including convergent and divergent measures.

Methods

The ACSID-11 measures five behavioral addictions with the same set of items by following the principles of the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST). The ACSID-11 was administered to a convenience sample of active Internet users (N = 1597) together with validated and established measures of each specific Internet-use disorder along with screeners for mental health. Included are the Ten-Item Internet Gaming Disorder Test (IGDT-10), the Bergen Shopping Addiction Scale (BSAS), the Problematic Pornography Consumption Scale (PPCS), the Bergen Social Media Addiction Scale (BSMAS) and the Berlin Inventory of Gambling behavior – Screening (BIG-S). The ACSID-11 was compared convergently and divergently through a multitrait-multimethod approach along with contingency tables with the other Internet-use disorder screeners.

Results

The multitrait-multimethod results shows that each behavior assessed with the ACSID-11 has moderate to strong correlations (r's from 0.462 to 0.609) with the scores of the corresponding established measures and, furthermore, positive correlations (r's from 0.122 to 0.434) with measures of psychological distress and further shows that the ACSID-11 can be used for a comprehensive assessment of different behaviors. The contingency tables reveal large divergences between the ACSID-11 and other screening instruments concerning the classification of problematic specific Internet use based on the given cut-off values.

Conclusion

The current work provides additional validation for the ACSID-11. Accordingly, this tool can be considered as reliable and valid for the simultaneous assessment of different Internet-use disorders: gaming disorder, online buying-shopping disorder, online pornography use disorder, social networks use disorder, and online gambling disorder. With a subsequent clinical validation of the scale and the proposed cut-off score, the ACSID-11 will be a thoroughly validated useful screening tool for clinical practice.

Eating Disorders (ED) are characterized by low remission rates, treatment drop-out, and residual symptoms. To improve assessment and treatment of ED, the staging approach has been proposed. This systematic scoping review is aimed at mapping the existing staging models that explicitly propose stages of the progression of ED.

A systematic search of PubMed, PsycINFO, Scopus was conducted with the terms staging, anorexia nervosa, bulimia nervosa, binge-eating disorders, eating disorders. Eleven studies met inclusion criteria presenting nine ED staging models, mostly for anorexia nervosa. Three were empirically tested, one of which was through an objective measure specifically developed to differentiate between stages. Most staging models featured early stages in which the exacerbation of EDs unfolds and acute phases are followed by chronic stages. Intermediate stages were not limited to acute stages, but also residual phases, remission, relapse, and recovery. The criteria for stage differentiation encompassed behavioral, psychological, cognitive, and physical features including body mass index and illness duration. One study recommended stage-oriented interventions. The current review underscores the need to empirically test the available staging models and to develop and test new proposals of staging models for other ED populations. The inclusion of criteria based on medical features and biomarkers is recommended. Staging models can potentially guide assessment and interventions in daily clinical settings.

Background

The COVID-19 pandemic has wrought a profound impact on mental health in Sub- Saharan Africa, exacerbating existing disparities and rendering individuals undergoing treatment particularly susceptible. This comprehensive critical review delves into the scope, nature, and extent of COVID-19 impact on mental health services in Sub- Saharan Africa, while concurrently elucidating pivotal lessons and exemplary practices learnt from periods of lockdown.

Methods

The methodology was guided by Jesson & Laccy's guide on how to conduct critical literature reviews. Articles were comprehensively sought through two academic databases (PubMed and Google Scholar), complemented by targeted searches on the WHO website and official public health websites of relevant Sub-Saharan African countries.

Results

The investigation reveals a surge in mental health challenges, notably marked by a significant escalation in anxiety, depression, and post-traumatic stress disorder. Disruptions to care services, financial hardships, and the pervasive effects of social isolation further compound this escalation. The pre-existing inequalities in access to and quality of care were accentuated during this crisis, with marginalized groups encountering heightened impediments to essential services. In navigating this unprecedented challenge, communities emerged as integral agents in establishing supportive networks and implementing culturally sensitive interventions. Technology, such as telemedicine and online resources, played a pivotal role in bridging access gaps, particularly in remote areas. The synthesis of best practices for supporting mental health patients during lockdowns encompasses targeted interventions for vulnerable groups, including adolescents and pregnant women. Empowering communities through economic support and mental health literacy programs was identified as crucial. The integration of technology, such as the development of robust telemedicine frameworks, virtual training in curricula, and the utilization of digital platforms for interventions and public messaging, emerged as a cornerstone in addressing access disparities. Community engagement and resilience-building strategies gained prominence, emphasizing the necessity of collaboration between healthcare providers and communities. Promotion of peer support groups, home-based care, and the preservation of traditional healing practices were underscored as essential components.

Conclusion

The study underscores the need to adapt and optimize mental health services during emergencies. This entails prioritizing mental health within emergency response frameworks, exploring alternative service delivery methods, and fortifying data collection and research efforts.

Background

The presence of psychiatric disorders is widely recognized as one of the primary risk factors for suicide. A significant proportion of individuals receiving outpatient psychiatric treatment exhibit varying degrees of suicidal behaviors, which may range from mild suicidal ideations to overt suicide attempts. This study aims to elucidate the transdiagnostic symptom dimensions and associated suicidal features among psychiatric outpatients.

Methods

The study enrolled patients who attended the psychiatry outpatient clinic at a tertiary hospital in South Korea (n = 1, 849, age range = 18–81; 61% women). A data-driven classification methodology was employed, incorporating a broad spectrum of clinical symptoms, to delineate distinctive subgroups among psychiatric outpatients exhibiting suicidality (n = 1189). A reference group of patients without suicidality (n = 660) was included for comparative purposes to ascertain cluster-specific sociodemographic, suicide-related, and psychiatric characteristics.

Results

Psychiatric outpatients with suicidality (n = 1189) were subdivided into three distinctive clusters: the low-suicide risk cluster (Cluster 1), the high-suicide risk externalizing cluster (Cluster 2), and the high-suicide risk internalizing cluster (Cluster 3). Relative to the reference group (n = 660), each cluster exhibited distinct attributes pertaining to suicide-related characteristics and clinical symptoms, covering domains such as anxiety, externalizing and internalizing behaviors, and feelings of hopelessness. Cluster 1, identified as the low-suicide risk group, exhibited less frequent suicidal ideation, planning, and multiple attempts. In the high-suicide risk groups, Cluster 2 displayed pronounced externalizing symptoms, whereas Cluster 3 was primarily defined by internalizing and hopelessness symptoms. Bipolar disorders were most common in Cluster 2, while depressive disorders were predominant in Cluster 3.

Discussion

Our findings suggest the possibility of differentiating psychiatric outpatients into distinct, clinically relevant subgroups predicated on their suicide risk. This research potentially paves the way for personalizing interventions and preventive strategies that address cluster-specific characteristics, thereby mitigating suicide-related mortality among psychiatric outpatients.

Background

The sex-differential prevalence of attention-deficit/hyperactivity disorder (ADHD) varies across the lifespan, but little is known about sex differences in executive functions in adults with ADHD.

Methods

We assessed 261 adults, aged 18–40 years, diagnosed with ADHD (170 males [assigned at birth], aged 25.81 ± 5.49; 91 females, aged 27.76 ± 5.42) and 308 neurotypical adults (176 males, aged 24.62 ± 5.14; 132 female, aged 25.37 ± 5.42) via psychiatric interviews to confirm ADHD and other psychiatric diagnoses. They were assessed by the Cambridge Neuropsychological Testing Automated Battery (CANTAB) on Reaction Time (arousal/processing speed), Rapid Visual Information Processing (sustained attention), Spatial Span (spatial memory), Spatial Working Memory, Intradimentional/Extradimensional Shift (set-shifting), and Stocking of Cambridge (spatial planning). The primary analyses were adjusted for age, full-scale IQ, and co-occurring psychiatric conditions.

Results

Adults with ADHD had various co-occurring psychiatric conditions without sex differences in ADHD-neurotypical differences. Both adult males and females with ADHD performed poorer in all CANTAB tasks than same-sex neurotypical adults. Significant sex-moderating effects were observed in neuropsychological performance, including greater ADHD-neurotypical differences in arousal for females than males and in location memory for spatial tasks in males than females.

Conclusion

There were no sex-moderating effects in the presence of co-occurring psychiatric conditions in adult ADHD. However, there were sex-moderating effects on how ADHD related to neuropsychological functioning in adulthood. ADHD was associated with more challenges in arousal/processing speed in females and more challenges in strategy use or inhibition in spatial memory in males.

Background

Mindfulness-based cognitive therapy (MBCT) has been documented to be effective in treating obsessive-compulsive disorder (OCD). However, the neurobiological basis of MBCT remains largely elusive, which makes it clinically challenging to predict which patients are more likely to respond poorly. Hence, identifying biomarkers for predicting treatment outcomes holds both scientific and clinical values. This prognostic study aims to investigate whether pre-treatment brain morphological metrics can predict the effectiveness of MBCT, compared with psycho-education (PE) as an active placebo, among patients with OCD.

Methods

A total of 32 patients with OCD were included in this prognostic study. They received magnetic resonance imaging (MRI) brain scans before treatment. Subsequently, 16 patients received 10 weeks of MBCT, while the other 16 patients underwent a 10-week PE program. The effectiveness of the treatments was primarily assessed by the reduction rate of the Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) total score before and after the treatment. We investigated whether several predefined OCD-associated brain morphological metrics, selected based on prior published studies by the ENIGMA Consortium, could predict the treatment effectiveness.

Results

Both the MBCT and PE groups exhibited substantial reductions in Y-BOCS scores over 10 weeks of treatment, with the MBCT group showing a larger reduction. Notably, the pallidum total volume was associated with treatment effectiveness, irrespective of the intervention group. Specifically, a linear regression model utilizing the pre-treatment pallidum volume to predict the treatment effectiveness suggested that a one-cubic-centimeter increase in pallidum volume corresponded to a 22.3% decrease in the Y-BOCS total score reduction rate.

Conclusions

Pallidum volume may serve as a promising predictor for the effectiveness of MBCT and PE, and perhaps, other treatments with the shared mechanisms by MBCT and PE, among patients with OCD.

Background

ADHD research has had a clear focus on symptoms, their negative consequences and the treatment of ADHD. However, previous qualitative research found that people with a diagnosis of ADHD also self-report to experience strengths related to their ADHD. This is one of the first quantitative studies to investigate multiple self-reported strengths in relation to ADHD traits in a general population sample. Therefore, our aim was to investigate the relationship between multiple self-reported strengths with ADHD traits in the general population using quantitative measures.

Methods

Our sample consisted of individuals from the general population in the UK, aged 18–60, n = 694. Next to assessing ADHD traits, we collected data on ten instruments investigating strengths that in qualitative research were reported to be related to ADHD. Correlation analysis (primary) was supplemented by factor and network analyses (exploratory).

Results

We found positive correlations between ADHD traits and hyperfocus, sensory processing sensitivity, and cognitive flexibility.

Conclusions

People with more ADHD traits score higher on several strengths, for other strengths we were not able to show a positive correlation in this population-bases sample. Information on strengths may aid people with elevated ADHD traits cope with their condition, and has potential to provide new angles for treatment.

Objectives

Addictions have recently been classified as substance use disorder (SUD) and behavioral addiction (BA), but the concept of BA is still debatable. Therefore, it is necessary to conduct further neuroscientific research to understand the mechanisms of BA to the same extent as SUD. The present study used machine learning (ML) algorithms to investigate the neuropsychological and neurophysiological aspects of addictions in individuals with internet gaming disorder (IGD) and alcohol use disorder (AUD).

Methods

We developed three models for distinguishing individuals with IGD from those with AUD, individuals with IGD from healthy controls (HCs), and individuals with AUD from HCs using ML algorithms, including L1-norm support vector machine, random forest, and L1-norm logistic regression (LR). Three distinct feature sets were used for model training: a unimodal-electroencephalography (EEG) feature set combined with sensor- and source-level feature; a unimodal-neuropsychological feature (NF) set included sex, age, depression, anxiety, impulsivity, and general cognitive function, and a multimodal (EEG + NF) feature set.

Results

The LR model with the multimodal feature set used for the classification of IGD and AUD outperformed the other models (accuracy: 0.712). The important features selected by the model highlighted that the IGD group had differential delta and beta source connectivity between right intrahemispheric regions and distinct sensor-level EEG activities. Among the NFs, sex and age were the important features for good model performance.

Conclusions

Using ML techniques, we demonstrated the neurophysiological and neuropsychological similarities and differences between IGD (a BA) and AUD (a SUD).

Background

Adverse childhood experiences (ACEs) are associated with impaired cognitive function in adult life in the general population as well as in people living with schizophrenia (PLS). Research on cognitive function in PLS in low- and middle-income countries (LMIC) is, however, limited. The objectives of this study were to investigate the association between ACE types and various cognitive domains in a sample of PLS and matched medical controls, and to determine the moderating effect of group membership (PLS vs. medical controls) on these associations, in the South African setting.

Methods

Participants (n PLS = 520; n medical controls = 832) completed the Childhood Trauma Questionnaire-Short Form, the Structured Clinical Interview for DSM-IV (SCID-I), and the University of Pennsylvania Computerized Neurocognitive Battery (PennCNB). An efficiency or speed score was used to assess performance across 9 cognitive domains. The association between exposure to different ACE types and 9 cognitive domains was examined using partial correlations and multiple linear regression models, adjusting for sex, age and education years. Finally, potential moderating effects of group membership (PLS vs. medical controls) on the association between ACEs and cognitive domains were tested.

Results

In the entire sample, emotional and physical abuse predicted worse performance on sensorimotor and emotion identification domains. Also, emotional abuse was negatively associated with motor function, physical abuse was negatively associated with spatial processing, and physical neglect was negatively associated with face memory and emotion identification. In contrast, emotional neglect was related to better performance on abstraction and mental flexibility. No moderating effect of group membership was found on any of these associations.

Conclusion

Exposure to ACEs was associated with social and non-social cognition in adulthood, although the magnitude of these relationships was small and similar between PLS and matched medical controls. The nature of these associations differed across ACE subtype, suggesting the need for a nuanced approach to studying a range of mechanisms that may underlie different associations. However, a number of ACE subtypes were associated with worse performance on emotional identification, indicating that some underlying mechanisms may have more transversal impact. These findings contribute to the sparse body of literature on ACEs and cognition in PLS in LMIC.

Background

The publication of South Africa's National Mental Health Policy Framework and Strategic Plan 2023–2030 and the proposed National Health Insurance (NHI) make it timely to review that state of mental health services in the country, and to emphasize the importance of prioritising mental health as a pivotal component of holistic healthcare.

Method

We searched the published literature on mental health using Google Scholar, Pubmed, and Bing Chat, focusing on these words: epidemiology of mental health disorders, depression and anxiety disorders, mental health services, mental health facilities, human resources, financing and impact of COVID-19 on mental health in South Africa and beyond. We also searched the grey literature on mental health policy that is publicly available on Google.

Results

We provided information on the epidemiology and economic impact of mental health disorders, the availability of mental health services, enabling policies, human resources, financing, and the infrastructure for mental health service delivery in South Africa. We detail the high lifetime prevalence rates of common mental disorders, as well as the profound impact of socioeconomic determinants such as poverty, unemployment, and trauma on mental health disorders. We note the exacerbating effect of the COVID-19 pandemic, and emphasize the pressing need for a robust mental health care system.

Conclusion

In addition to outlining the challenges, such as limited mental health service availability, a shortage of mental health professionals, and financial constraints, the review proposes potential solutions, including task-sharing, telehealth, and increasing the production of mental health professionals. The paper underscores the necessity of crafting a comprehensive NHI package of mental health services tailored to the local context. This envisioned package would focus on evidence-based interventions, early identification, and community-based care. By prioritising mental health and addressing its multifaceted challenges, South Africa can aspire to render accessible and equitable mental health services for all its citizens within the framework of the National Health Insurance.