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Shared group identifications can significantly subdivide populations. However, groups with mutual recognition may not be territorial. In the deep ocean, territoriality is absent but some species have important groups based upon shared identification. Control over access to physical space should be dropped from the definition of “society,” although “territorial society” could be retained as an important subcategory.
Trust is essential for effective collaboration. In advice settings, decision-makers’ trust in their advisors determines their willingness to follow advice. We propose that trust in the opposite direction, that is, the trust of the advisor in the decision-maker, can affect the use of advice. Specifically, we suggest that advice-taking is greater after a show of trust by the advisor than after an instance of distrust. We conducted four behavioral experiments using the trust game and judge–advisor system paradigms and one scenario study using a sample of currently employed professionals (N = 1599). We find that initial displays of trust by advisors result in greater acceptance of their advice (Studies 1A-B). This effect persists across different levels of advice quality, resulting in smaller underutilization of high-quality advice but also in overreliance on low-quality advice (Study 2). Decision-makers not only show greater willingness to follow advisors who trust them but also respond similarly to advisors who display trust in other people (Study 3). Finally, we find evidence for both perceived advisor competence and decision-makers’ motivation to reciprocate as mediators of the relation between advisors’ level of trust and decision-makers’ willingness to follow their advice (Study 4). Our findings shed light on the dynamics of trust and persuasion in advice relationships and provide insight for advisors who wish to maintain the effectiveness of their input.
Moffett points to humans' use of physical markers to signal group identity as crucial to human society. We characterize the developmental and cognitive bases of this capacity, arguing that it is part of an early-emerging, intuitive socio-physical interface which allows the inanimate world to encode rich social meaning about individuals' identities, and the values of the society as a whole.
Vaping is increasing in popularity. Vape products are offered in a wide variety and promise to reduce harms associated with cigarette smoking, among other claims. The motivations for vaping in patients with substance use disorder are largely unknown.
Aims
To describe perceptions and motivations regarding vaping among patients with opioid use disorder (OUD) who vape.
Method
A convergent mixed-methods study design was used, and individual, semi-structured interviews were conducted with 41 individuals with OUD who were receiving medication for OUD and also vaped. An inductive data-driven approach was employed to characterise perspectives on vaping.
Results
The mean ages at which participants had been introduced to vaping and initiated regular vaping were 33.95 years (s.d. 12.70) and 34.85 years (s.d. 12.38), respectively. Daily vaping (85%) of nicotine, flavoured nicotine or cannabis was common, with 27% reporting vaping both nicotine and cannabis. Qualitative analysis identified 14 themes describing motivations for vaping, including viewing vaping as a smoking cessation tool, convenience and popularity among youth.
Conclusions
Mixed-methods findings indicated that patients with OUD who vape perceived vaping to be healthier, cleaner and more convenient than cigarette and cannabis smoking, without appreciating the health risks. The perspectives reflected the importance of health education, guidelines and screening tools for vaping and could provide direction for healthcare providers and future vaping cessation programmes.
Evidence suggests the crucial role of dysfunctional default mode (DMN), salience and frontoparietal (FPN) networks, collectively termed the triple network model, in the pathophysiology of treatment-resistant depression (TRD).
Aims
Using the graph theory- and seed-based functional connectivity analyses, we attempted to elucidate the role of low-dose ketamine in the triple networks, namely the DMN, salience and FPN.
Method
Resting-state functional connectivity magnetic resonance imaging (rs–fcMRI) data derived from two previous clinical trials of a single, low-dose ketamine infusion were analysed. In clinical trial 1 (Trial 1), patients with TRD were randomised to either a ketamine or normal saline group, while in clinical trial 2 (Trial 2) those patients with TRD and pronounced suicidal symptoms received a single infusion of either 0.05 mg/kg ketamine or 0.045 mg/kg midazolam. All participants underwent rs–fcMRI pre and post infusion at Day 3. Both graph theory- and seed-based functional connectivity analyses were performed independently.
Results
Trial 1 demonstrated significant group-by-time effects on the degree centrality and cluster coefficient in the right posterior cingulate cortex (PCC) cortex ventral 23a and b (DMN) and the cluster coefficient in the right supramarginal gyrus perisylvian language (salience). Trial 2 found a significant group-by-time effect on the characteristic path length in the left PCC 7Am (DMN). In addition, both ketamine and normal saline infusions exerted a time effect on the cluster coefficient in the right dorsolateral prefrontal cortex a9-46v (FPN) in Trial 1.
Conclusions
These findings may support the utility of the triple-network model in elucidating ketamine’s antidepressant effect. Alterations in DMN, salience and FPN function may underlie this effect.
Emotion recognition, the ability to interpret others’ emotional expressions and infer mental states, is crucial for caregiver–child interactions. The ability to accurately recognize infant emotions may facilitate attuned and responsive caregiving. Across two studies, we validate a novel measure to assess the recognition of infants’ emotions (Reading the Mind in Infant Eyes Test [RMIET]) and investigate how this ability relates to observed caregiving. Study 1 examined item-level performance in 55 infant mental health experts and 100 undergraduate students. Study 2 examined RMIET scores in 133 pregnant people and their later caregiving when their children were 18-month-old. In Study 1, agreement was high among both mental health experts (ICC = .82) and undergraduate students (ICC = .93), providing evidence of the content validity of the RMIET. In Study 2, scores assessing the recognition of adult and infant emotions were positively correlated (r = .22, p = .012). After accounting for covariates, RMIET scores were statistically significantly associated with higher sensitivity and warmth and lower negative regard. Taken together, these studies provide preliminary evidence of content and predictive validity for the RMIET.
Cognitive impairment is a common feature of multiple sclerosis (MS), and its severity may be influenced by several factors, such as biological sex and levels of cognitive reserve (CR). The relationship between sex, CR, and cognition has not yet been fully investigated. Therefore, the present study aimed to explore sex differences in CR building and the effect of sex and CR on cognitive performance in MS.
Method:
233 participants underwent the Brief Repeatable Battery of Neuropsychological Tests (BRB-N), the Stroop test, and the Cognitive Reserve Scale. The t-test was performed to compare sociodemographic variables, Italian adaptation of the Cognitive Reserve Scale, and cognitive test scores between sexes. To evaluate the effect of CR and sex and their interaction on cognitive performance several models of multivariate analyses of covariance were performed (dependent variables: all subtests of Brief Repeatable Battery of Neuropsychological Tests and Stroop scores; independent variables: sex and CR). Covariates included age, Expanded Disability Status Scale, and BDI-II scores.
Results:
Women showed higher levels of CR, particularly in daily activities (t = −5.848, p<.001), hobbies (t = −2.591, p = .010), and social life (t = −2.362, p = .011). Sex differences were noted in verbal memory and fluency (with women outperforming men) and processing speed (with men performing better than women). Multivariate analyses revealed a nonsignificant interaction between CR and sex on cognition (Λ=.950, F(10,260)=.813, p = .617, ηp2 = .050).
Conclusions:
CR and sex seemed to affect cognitive performance independently in pwMS. This highlights the importance of considering both factors in cognitive assessment, and that both sexes may benefit from specific psychoeducational training aimed at increasing CR levels.
The mental health of incarcerated individuals is a widely recognized public health issue, but little is known about the mental health status of the incarcerated individuals upon release. This study aimed to measure the prevalence of psychiatric disorders and substance use disorders (SUDs) among incarcerated men scheduled to be released from jail soon.
Methods
We conducted a cross-sectional national survey from September 2020 to September 2022 across 26 jails (selected at random) in France. Each participant was interviewed within 30 days prior to their release via a structured questionnaire, including the Mini International Neuropsychiatric Interview.
Results
A total of 579 individuals were included in the analysis (participation rate: 66.2%). The prevalence of mood disorders, anxiety disorders, post-traumatic stress disorder, and psychotic episodes were 30.7% (95% confidence interval [CI]: 27.1%–34.6%), 28.7% (95% CI: 25.1%–32.5%), 11.1% (95% CI: 8.8%–13.9%), and 10.5% (95% CI: 8.3%–13.3%), respectively. Additionally, almost half of the individuals had an SUD, and dual disorders were identified in 21.9% (95% CI: 18.8%–25.5%) of the cases. The analysis of mental health care pathways raised questions about access to certain types of care, such as full-time psychiatric hospitalization while in prison, as well as questions about the continuity of care upon release.
Conclusions
This study shows that the mental health of incarcerated men who are scheduled to be released soon is precarious. Complex mental health problems, particularly dual disorders, are common and require better coordination between mental health care systems in prisons and the community.
The study examines the behavioural and psychological symptoms (BPSs) associated with dementia and mild cognitive impairment (MCI), highlighting the prevalence and impact of these symptoms on individuals with varying levels of cognitive function, particularly in the context of the increasing incidence of dementia among the ageing population.
Aims
To explore the BPSs among out-patients with different cognitive statuses.
Method
This cross-sectional study enrolled out-patients who attended the cognitive assessment out-patient clinic at our hospital between January 2018 and October 2022. The patients’ cognitive status was evaluated using the Neuropsychiatric Inventory (NPI), Activities of Daily Living and the Montreal Cognitive Assessment-Basic scales.
Results
The study enrolled 3273 out-patients, including 688 (21%) with cognitively unimpairment, 1831 (56%) with MCI and 754 (23%) with dementia. The NPI score, the percentage of patients with BPSs and the number of BPSs increased with decreasing cognition level. Unordered logistic regression analysis showed that after adjustment of confounding variables, delusions, depression, euphoria and psychomotor alterations were independently associated with MCI. Delusions, agitation, euphoria, apathy, psychomotor alterations and sleep change were independently associated with dementia.
Conclusions
NPI scores, the percentage of patients with BPSs and the numbers of BPSs increased with declining cognitive function.
We present a multidimensional data analysis framework for the analysis of ordinal response variables. Underlying the ordinal variables, we assume a continuous latent variable, leading to cumulative logit models. The framework includes unsupervised methods, when no predictor variables are available, and supervised methods, when predictor variables are available. We distinguish between dominance variables and proximity variables, where dominance variables are analyzed using inner product models, whereas the proximity variables are analyzed using distance models. An expectation–majorization–minimization algorithm is derived for estimation of the parameters of the models. We illustrate our methodology with three empirical data sets highlighting the advantages of the proposed framework. A simulation study is conducted to evaluate the performance of the algorithm.
Mothers living in low-income families are more likely to experience depressive symptoms and parenting stress which in turn can undermine mother–child interactions adversely influencing child outcomes. Previous studies demonstrate that social support is beneficial for low-income mothers to fulfill caregiving responsibilities and promote positive child outcomes. However, the longitudinal application of the Family Stress Model with protective factors remains unexplored in the literature. Thus, we examined the association between parenting stress and depressive symptoms at year 1 with harsh and responsive parenting at year 3. Then, we examined whether parenting practices at year 3 predicted child outcomes at year 5 and the main and moderating effects of social support at year 1 and year 3 on parenting and child outcomes. The sample included 1,968 mothers from the Future of Families and Child Wellbeing Study. Results showed that parenting stress significantly predicted harsh parenting. Harsh parenting was associated with more internalizing behavior problems and decreased adaptive social behavior. Responsive parenting was associated only with fewer internalizing behavior problems. The main effects of social support on responsive and harsh parenting and child outcomes were significant. Specific intervention programs targeted at reducing parenting stress, enhancing parenting skills, and improving the social support network should be designed to support mothers in the context of economic adversity.
Developing integrated mental health services focused on the needs of children and young people is a key policy goal in England. The THRIVE Framework and its implementation programme, i-THRIVE, are widely used in England. This study examines experiences of staff using i-THRIVE, estimates its effectiveness, and assesses how local system working relationships influence programme success.
Methods
This evaluation uses a quasi-experimental design (10 implementation and 10 comparison sites.) Measurements included staff surveys and assessment of ‘THRIVE-like’ features of each site. Additional site-level characteristics were collected from health system reports. The effect of i-THRIVE was evaluated using a four-group propensity-score-weighted difference-in-differences model; the moderating effect of system working relationships was evaluated with a difference-in-difference-in-differences model.
Results
Implementation site staff were more likely to report using THRIVE and more knowledgeable of THRIVE principles than comparison site staff. The mean improvement of fidelity scores among i-THRIVE sites was 16.7, and 8.8 among comparison sites; the weighted model did not find a statistically significant difference. However, results show that strong working relationships in the local system significantly enhance the effectiveness of i-THRIVE. Sites with highly effective working relationships showed a notable improvement in ‘THRIVE-like’ features, with an average increase of 16.41 points (95% confidence interval: 1.69–31.13, P-value: 0.031) over comparison sites. Sites with ineffective working relationships did not benefit from i-THRIVE (−2.76, 95% confidence interval: − 18.25–12.73, P-value: 0.708).
Conclusions
The findings underscore the importance of working relationship effectiveness in the successful adoption and implementation of multi-agency health policies like i-THRIVE.
Mental health problems in adolescence are increasingly prevalent and have tremendous impacts on life-long health and mortality. Although household poverty is a known risk factor for adolescent mental health, evidence of the timing hypothesis is scarce. We aimed to examine the longitudinal associations of poverty across childhood with mental health in adolescence, focusing on the timing of exposure.
Methods
We used the data of 5,671 children from a Japanese population-based longitudinal cohort, which recruited the first graders (aged 6–7 years) and followed biannually until eighth grade (aged 13–14 years) in Adachi, Tokyo. Household poverty was defined as households having any of the following experiences: annual income less than Japanese yen 3 million, payment difficulties and material deprivations, measured in first, second, fourth, sixth and eighth grades. Adolescent mental health included parent-report internalizing and externalizing problems (the Strengths and Difficulties Questionnaire), self-report depression (the Patient Health Questionnaire-9) and self-esteem (the Japanese version Children’s Perceived Competence Scale) in eighth grade. We applied g-estimation of structural nested mean modelling to account for time-varying confounders.
Results
If adolescents were exposed to household poverty at any grade across childhood, on average, they would report more severe depressive symptoms (ψ = 0.32 [95% CI 0.13; 0.51]) and lower self-esteem (ψ = −0.41 [−0.62; −0.21]) in eighth grade. There were also average associations of household poverty at any grade with more internalizing (ψ = 0.19 [0.10; 0.29]) and externalizing problems (ψ = 0.10 [0.002; 0.19]). Although the associations between household poverty and mental health were stronger in younger ages (e.g., poverty in the second grade → depression: ψ = 0.54 [−0.12; 1.19] vs. poverty in the eighth grade → depression: ψ = −0.01 [−0.66; 0.64]), overlapping 95% CIs indicated no statistically significantly different associations by the timing of exposure.
Conclusion
We found the average effect of exposure to household poverty at any grade on mental health outcomes in eighth grade, failing to support the timing hypothesis. The findings indicate that the effects of household poverty accumulate over time in childhood and impact adolescent mental health (cumulative hypothesis) rather than the effects differ by the timing of exposure. While cumulative effects suggest a persistent intervention in poor households across childhood, we highlight intervention at any timing in childhood may be effective in alleviating adolescent mental health problems.
Cognitive behavioural therapists and practitioners often feel uncertain about how to treat post-traumatic stress disorder (PTSD) following rape and sexual assault. There are many myths and rumours about what you should and should not do. All too frequently, this uncertainty results in therapists avoiding doing trauma-focused work with these clients. Whilst understandable, this means that the survivor continues to re-experience the rape as flashbacks and/or nightmares. This article outlines an evidence-based cognitive behavioural therapy (CBT) approach to treating PTSD following a rape in adulthood. It aims to be a practical, ‘how to’ guide for therapists, drawing on the authors’ decades of experience in this area. We have included film links to demonstrate how to undertake each step of the treatment pathway. Our aim is for CBT practitioners to feel more confident in delivering effective trauma-focused therapy to this client group. We consider how to assess and formulate PTSD following a rape in adulthood, then how to deliver cognitive therapy for PTSD (CT-PTSD; Ehlers and Clark, 2000). We will cover both client and therapist factors when working with memories of rape, as well as legal, social, cultural and interpersonal considerations.
Key learning aims
To understand the importance of providing effective, trauma-focused therapy for survivors of rape in adulthood who are experiencing symptoms of PTSD.
To be able to assess, formulate and treat PTSD following a rape in adulthood.
How to manage the dissociation common in this client group.
To be able to select and choose appropriate cognitive, behavioural and imagery techniques to help with feelings of shame, responsibility, anger, disgust, contamination and mistrust.
For therapists to learn how best to support their own ability to cope with working in a trauma-focused way with survivors of rape and sexual violence.
Although research has highlighted that suicidal imagery (SuiMI) and experiential avoidance (EA) are important in understanding suicidality, there is a need to understand how they potentially interact. Previous research has highlighted that EA potentially leads to increased cognitive intrusions, but it not known whether EA leads to increased SuiMI.
Aims:
The purpose of this study was to explore the influence of SuiMI and EA on suicidality (i.e. encompassing thoughts, behaviour and suicide attempts). It was hypothesised that greater frequency of SuiMI would be associated with greater EA. It was also hypothesised that greater SuiMI would be associated with greater suicidality, and that EA would moderate this relationship.
Method:
Hypotheses were tested by surveying 197 general university students who completed self-report measures that assessed suicide-related mental imagery (i.e. Suicidal Imagery Questionnaire, SIQ), experiential avoidance (i.e. Multi-dimensional Experiential Avoidance Questionnaire, MEAQ) and suicidality (i.e. Suicidal Behaviours Questionnaire-Revised, SBQ-R).
Results:
Frequency of SuiMI was positively correlated with the tendency to engage in EA. SuiMI was a significant predictor of both suicidality and EA. Exploratory analysis found that voluntary SuiMI explained greater variance in suicidality than intrusive, involuntary SuiMI, and that SuiMI only predicted EA in low-risk participants and not for those at high risk of suicide. EA did not predict suicidality and it also did not show any moderating effect on the relationship between SuiMI and suicidality.
Conclusion:
There is evidence to suggest that suicide-related mental imagery may play an important role in suicide risk and more specifically imagery that is voluntarily engaged with. Future research is needed to explore the different types of imagery in relation to suicidal ideation in populations at higher risk of suicide.
Compassion is the emotion that motivates people to relieve the physical, emotional, or mental pains of others. Engaging in compassionate behaviour has been found to enhance psychological wellness and resilience. However, constant displays of compassionate behaviour can lead to burnout particularly for healthcare workers who inherently practise compassion day to day. This burnout can be relieved by Compassion focused meditation. The aim of this review is to identify neuroplastic changes in the brain associated with meditation, with a focus on compassion and compassion related meditation.
Methods:
Based on PRISMA guidelines, we conducted a scoping review of studies which described neuroplastic effects of meditation, focusing on compassion-based training. Studies were excluded if they (i) included multiple meditation practices or (ii) included participant populations with psychiatric/neuropsychiatric history (except anxiety or depression) or (iii) included exclusively ageing populations.
Results:
The results of the reviewed studies showed various neurological changes in regions of the brain as a result of compassion based training. These regions include amygdala, the anterior insula, medial prefrontal cortex, medial orbitofrontal cortex and structures within the dopamine system.
Conclusion:
This review highlights that compassion-based training could lead to neuroplastic changes which interconnect to enhance overall well-being, resilience and compassionate care among health-care professionals. However, further work is required to establish conclusive evidence of its sustained benefit and cost-effectiveness, as well as its utility in a healthcare setting.
This paper advocates for a holistic approach to the menopause transition and challenges the current dominant narrative that frames this transition primarily in biological terms. It examines the psychological, social and cultural dimensions, addresses the stigma faced by older women and advocates for the vital role psychiatrists have to play in supporting postmenopausal women.
Schizophrenia is a chronic condition that requires long-term management. Quality of life is an important outcome measure for individuals diagnosed with schizophrenia; it can be tracked over time allowing evaluation of whether interventions lead to sustainable improvements. Nutrition and dietary interventions are an underutilized treatment for tackling the metabolic consequences of mental illness, which is now recognized as having increased importance in the management of schizophrenia. This study examines the impact of nutrition and dietary interventions on quality of life outcomes for those with schizophrenia.
Methods:
A systematic review of the literature was conducted, assessing the impact of nutritional interventions on quality of life outcomes in individuals with a diagnosis of schizophrenia.
Results:
A total of 982 articles were screened, of which nine articles met the inclusion criteria. Quality of life measures varied across studies, which made comparison across studies challenging. Previous studies had relatively small sample sizes and did not have long follow-up durations. Some of the studies found that dietary interventions such as counselling, weight management programs, food diaries and nutritional education improved quality of life, whereas others did not detect any effect.
Conclusions:
The review provides preliminary evidence that nutrition and dietary interventions may benefit quality of life among individuals with schizophrenia. There were however substantial limitations in studies highlighting the need for further research. The paper also highlights the need to standardize assessment tools for future quality-of-life research.