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Psychotherapy plays a crucial role in mental healthcare. Integrating evidence-based practices into treatment guidelines highlights the need for basic psychotherapy competence in psychiatry training. While programs set minimum requirements for psychotherapy training in line with the recommendations of the World Psychiatric Association or accreditation bodies like the European Union of Medical Specialists, implementation is often inconsistent, and resources are limited. This systematic review explores early career psychiatrists’ (ECPs) views, interests, and available opportunities for psychotherapy training worldwide.
Methods
We systematically searched MEDLINE, Scopus, and PubPsych for survey-based studies on ECPs’ perspectives on psychotherapy training, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Of 31,281 studies screened, 48 articles were included. Quality assessment was conducted using the Quality Assessment Checklist for Survey Studies on Psychology, and the findings were summarized through narrative synthesis.
Results
Included studies were from Europe (24, 50%), United States (12, 25%), Western Pacific (6, 12.5%), South-East Asia (4, 8.3%), Eastern Mediterranean (1, 2%), and Africa (1, 2%), with a total of 7,196 participants. Thirty-one studies on ECPs’ interest in psychotherapy training found that 57–80% were interested in psychotherapy, 67–92% viewed being a psychotherapist as part of their psychiatrist identity, and 88–97.7% supported its inclusion in psychiatry training. Training opportunities varied by country and institution, with cognitive behavioral therapy and psychodynamic psychotherapy being primary modalities.
Conclusion
Improving psychiatrists’ access to evidence-based, culturally adapted psychotherapy training is essential. Educational activities offered by training institutions and professional organizations can play a key role in supporting ongoing professional development.
Mapping reviews are valuable tools for synthesizing and visualizing research evidence, providing a comprehensive overview of studies within a specific field. Their visual approach enhances accessibility, enabling researchers, policymakers, and practitioners to efficiently identify key findings, trends, and knowledge gaps. These reviews are particularly significant in guiding future research, informing funding decisions, and shaping evidence-based policymaking. In environmental science—similar to health and social sciences—mapping reviews play a crucial role in identifying effective conservation strategies, tracking interventions, and supporting targeted programs.
Unlike systematic reviews, which assess intervention effectiveness, mapping reviews focus on broad research questions, aiming to chart the existing evidence on a given topic. They use structured methodologies to identify patterns, gaps, and trends, often employing visual tools to enhance data accessibility. A well-defined scope, guided by inclusion and exclusion criteria, ensures a transparent study selection process. Comprehensive search strategies, often spanning multiple databases, maximize evidence capture. Effective screening, combining automated and manual processes, ensures relevance, while data extraction emphasizes high-level categories such as study design and population demographics. Advanced software tools, including EPPI-Reviewer and MindMeister, support data extraction and visualization, with evidence gap maps highlighting robust areas and research voids.
Despite their advantages, mapping reviews present challenges. The categorization and coding of studies can introduce subjective biases, and the process demands substantial resources. Automation and artificial intelligence offer promising solutions, improving efficiency while addressing integration and multilingual limitations. As methodological advancements continue, interdisciplinary collaboration will be essential to fully realize the potential of mapping reviews across scientific disciplines.
Prolonged childhood and adolescent loneliness (CAL) is linked to various adverse mental health outcomes, yet its impact on schizophrenia spectrum disorders (SSD) has been understudied. While loneliness is associated with psychosis and worsens symptoms in SSD, few studies have explored the long-term effects of early loneliness on SSD risk. Understanding how CAL interacts with genetic liability to schizophrenia is essential for identification of high-risk individuals.
Aims
This study evaluated whether prolonged CAL is associated with increased SSD risk and examined the interaction between CAL and genetic liability for schizophrenia. Gender differences in these associations were also explored.
Method
Data from the European Gene–Environment Interactions in Schizophrenia (EU-GEI) study were analysed, including 1261 individuals with SSD, 1282 unaffected siblings and 1525 healthy controls. CAL was retrospectively assessed for periods before age 12 years and age 12–16 years. Genetic risk was measured using polygenic risk scores for schizophrenia. Logistic regression models and the Relative Excess Risk due to Interaction (RERI) method were used to examine gene–environment interactions, with stratification by gender.
Results
Prolonged CAL was associated with higher odds of SSD (odds ratio [95% CI] = 5.20 [3.85−7.01] for loneliness before age 12; odds ratio [95% CI] = 7.26 [5.63−9.38] for loneliness during adolescence). The interaction between CAL and genetic risk was strongest during adolescence (RERI [95% CI] = 23.46 [10.75−53.53]). Females showed a greater effect (odds ratio [95 %CI] = 10.04 [6.80−14.94]) than males (odds ratio [95% CI] = 5.50 [3.95−7.66]). Incorporating CAL and genetic interaction increased predictive values to 17% for SSD risk − rising to 22.5% in females − compared with 2.6 and 2.8%, respectively, for genetic risk alone.
Conclusions
Prolonged CAL significantly increases SSD risk, particularly in females. The inclusion of CAL alongside genetic risk substantially enhances predictive accuracy. Early identification of CAL could inform preventive strategies, especially in genetically vulnerable populations.
Psychological symptoms in perimenopause and early menopause are common. The impact of menopausal hormone therapy (MHT) on menopausal mood symptoms is unclear.
Aims
To assess the impact of 17β-oestradiol ± micronised progesterone or the levonorgestrel-releasing intrauterine device, and/or transdermal testosterone, on depressive and anxiety symptoms in peri- and postmenopausal women.
Method
A real-world retrospective cohort study set in the largest specialist menopause clinic in the UK. The Meno-D questionnaire measured mood-related symptoms.
Results
The study included 920 women: 448 (48.7%) perimenopausal, and 435 (47.3%) postmenopausal. Following initiation/optimisation of MHT, mean Meno-D scores decreased by 44.59% (95% CI −46.83% to −42.34%, P < 0.001) after average 107 days follow-up. Mood symptoms significantly improved (P < 0.01 per symptom). Improvement occurred in peri- and postmenopausal women. All MHT regimens improved mental health including both progestogen types (body-identical progesterone and levonorgestrel-releasing intrauterine device), MHT initiation strategy (oestradiol ± a progestogen versus oestradiol ± a progestogen and testosterone, 45.38 v. 48.53%, respectively, P = 0.47) and MHT optimisation strategy (MHT users treated with a higher oestradiol dose versus testosterone added versus both a higher oestradiol dose and testosterone, 34.70, 43.93 and 43.25%, respectively, P = 0.38).
Conclusions
Use of menopausal hormone therapy was associated with significant improvement in mood in peri- and postmenopausal women. Prospective studies and randomised clinical trials are needed to assess the effects of different regimens in different patient populations over longer time periods.
The Elizabethan reign has lately emerged as a formative period for English ideas about the liberties of the subject and the ‘ancient constitution’ of the realm. Recent work has described the development of such ideas as having been driven by an organized campaign against the English ecclesiastical courts: a legal and intellectual effort that had emerged from the misgivings of certain ‘puritan’ lawyers about the powers claimed by new prerogative jurisdictions. The primary grievance of the campaign has been identified as having been the church courts’ use of the oath ex officio, and the campaign’s primary defensive tool has been identified as having been the twenty-ninth chapter of Magna Carta. But overlooked manuscripts reveal a more complex story. This article shows that the law of excommunication was as important to the campaign in question as Magna Carta. In addition, a re-examination of the life and work of James Morice, one of the principal lawyers responsible for the campaign, demonstrates that the law of excommunication deeply structured his understanding of the royal supremacy, and of the legal relationship between England’s secular and ecclesiastical polities – particularly as they had existed in the distant medieval past.
The classical water-wave theory often neglects water compressibility effects, assuming acoustic and gravity waves propagate independently due to their disparate spatial and temporal scales. However, nonlinear interactions can couple these wave modes, enabling energy transfer between them. This study adopts a dynamical systems approach to investigate acoustic–gravity wave triads in compressible water flow, employing phase-plane analysis to reveal complex bifurcation structures and identify steady-state resonant configurations. Through this framework, we identify specific parameter conditions that enable complete energy exchange between surface and acoustic modes, with the triad phase (also known as the dynamical phase) playing a crucial role in modulating energy transfer. Further, incorporating spatial dependencies into the triad system reveals additional dynamical effects that depend on the wave velocity and resonance conditions: we observe that travelling-wave solutions emerge, and their stability is governed by the Hamiltonian structure of the system. The phase-plane analysis shows that, for certain velocity regimes, the resonance dynamics remains similar to the spatially independent case, while in other regimes, bifurcations modify the structure of resonant interactions, influencing the efficiency of energy exchange. Additionally, modulated periodic solutions appear, exhibiting changes in wave amplitudes over time and space, with implications for wave-packet stability and energy localisation. These findings enhance the theoretical understanding of acoustic–gravity wave interactions, offering potential applications in geophysical phenomena such as oceanic microseisms.
Affective polarization is often blamed on the rise of partisan news. However, self-reported measures of news consumption suffer serious flaws. We often have limited ability to characterize partisan media audiences outside of the United States. I use a behavioural data set of 728 respondents whose online behaviour was tracked over four weeks during the 2019 Canadian federal election. These data were paired to a survey for a subset of respondents. I find that audiences for partisan media are small, and web traffic is driven by an even smaller share of the population. There are few major partisan differences in news media use, and partisan news exposure is higher among highly attentive, sophisticated news consumers, rather than those with strong political commitments.
We introduce the framework FreeCHR which formalizes the embedding of Constraint Handling Rules (CHR) into a host language, using the concept of initial algebra semantics from category theory. We hereby establish a high-level implementation scheme for CHR as well as a common formalization for both theory and practice. We propose a lifting of the syntax of CHR via an endofunctor in the category Set and a lifting of the very abstract operational semantics of CHR into FreeCHR, using the free algebra, generated by the endofunctor. We give proofs for soundness and completeness with its original definition. We also propose a first abstract execution algorithm and prove correctness with the operational semantics. Finally, we show the practicability of our approach by giving two possible implementations of this algorithm in Haskell and Python. Under consideration in Theory and Practice of Logic Programming.
Galen’s most deeply held professional values included clarity of expression and the epistemological importance of clinical experience. Therefore, it is not surprising that he thought and wrote about communication with patients. His stories about patients show that he questioned them about their symptoms and history, and some stories explicitly teach the lesson that this type of questioning is important. His stories often quote patients indirectly or directly; they are often told partly from the patient’s perspective, and some contain constructions indicating that Galen paid attention to an individual patient’s exact words. In On the Affected Parts, his discussion of the vocabulary of pain – a problem in medical communication still important today – he privileges the common usage of patients over the technical vocabulary invented by Archigenes. He argues that only by listening to patients and their words can we construct a useful vocabulary of metaphors for pain that can bridge the gap in experience between physician and patient. He does not dismiss the words of women or enslaved patients; on the other hand, in a few stories where the patriarch of a family is present and the patient is female or enslaved, Galen’s dialogue tends to engage the head of the household rather than the patient. While some of his stories show off his ability to diagnose patients without talking to them, and others raise the problem of the lying patient, none of these stories would have meaning unless the patients’ words were normally crucial to clinical practice.
There is a lack of knowledge on deaths related to police use of force across Canada. Tracking (In)Justice is a research project that is trying to make sense of the life and death outcomes of policing through developing a collaborative, interdisciplinary, and open-source database using publicly available sources. With a collaborative data governance approach, which includes communities most impacted and families of those killed by police, we document and analyze 745 cases of police-involved deaths when intentional force is used across Canada from 2000 to 2023. The data indicate a steady rise in deaths, in particular shooting deaths, as well as that Black and Indigenous people are over-represented. We conclude with reflections on the ethical complexities of datafication, knowledge development of what we call death data and the challenges of enumerating deaths, pitfalls of official sources, the data needs of communities, and the living nature of the Tracking (In)Justice project.
Among all the situations scrutinised by the International Criminal Court (ICC), Guinea has received the least scholarly attention. This article fills that gap by analysing the ICC's preliminary examination of Guinea (2009–2022) and testing claims that it represents a success for the Court. Based on 25 interviews in Conakry, it examines the Office of the Prosecutor (OTP) and its diplomatic engagement with state authorities, showing that Guinea is a partial success story. However, this success extends beyond the textbook application of complementarity rules – it reflects lessons learned by the OTP following previous diplomatic missteps in Guinea and other contexts. The analysis underscores that ICC scrutiny is deeply shaped by political dynamics, with favourable domestic and international conditions playing a crucial role. This case study not only sheds light on ICC-state relations but also offers insights into how the Court can navigate political challenges to fulfil its mandate.
This study examines the significance of nonhuman actors in writing African history. It asks why things and animals are at the margin of African history. It probes how the intersection of presence and absence manifests in things, and how this can aid historians’ imagination of the past. Finally, it seeks to know how the recognition and integration of things in the historical narrative can help understand the unaccounted past. The article draws from the Yoruba visual and verbal arts, particularly the oriki and Ifa corpus to argue that “things” are important historical sources that are methodologically useful and theoretically relevant.
This study aims to assess consumer preferences for fifteen proposed front-of-package ‘Healthy’ label candidates under the Food and Drug Administration’s (FDA) of the US updated guidelines for the ‘Healthy’ label. The goal of this study is to identify which label designs best align with consumer preferences, thereby supporting the FDA’s efforts to promote healthier dietary choices through effective labelling.
Design:
A best-worst scaling (BWS) experiment was conducted using a balanced incomplete block design to assess consumer preferences for the fifteen FDA-proposed ‘Healthy’ labels. Participants completed fifteen best-worst scaling choice tasks where they identified the ‘best’ and ‘worst’ design from three randomly presented options in each task.
Setting:
The experiment was conducted in a controlled laboratory setting in the USA.
Participants:
Three hundred and eight US adult consumers who are primary household shoppers without dietary restrictions.
Results:
Results from the random parameter logit model indicate that labels 12 and 8 emerged as the most preferred designs, with preference shares of 16·7 and 16·1 %, respectively. These two labels featured a prominent ‘Healthy’ display with bold blue font, balanced colour themes and check marks, which likely contributed to their appeal. The Krinsky and Robb bootstrapping method confirmed the statistical significance of the preferences for these labels over others.
Conclusions:
This study identifies two labels as the most preferred FDA-proposed ‘Healthy’ label designs, offering clear guidance to policymakers on effective labelling strategies. By adopting a consumer-preferred design, the FDA’s ‘Healthy’ label may have greater potential to influence healthier food choices.
We present a fully three-dimensional kinetic framework for modeling intense short pulse lasers interacting with dielectric materials. Our work modifies the open-source particle-in-cell code EPOCH to include new models for photoionization and dielectric optical response. We use this framework to model the laser-induced damage of dielectric materials by few-cycle laser pulses. The framework is benchmarked against experimental results for bulk silica targets and then applied to model multi-layer dielectric mirrors with a sequence of simulations with varying laser fluence. This allows us to better understand the laser damage process by providing new insight into energy absorption, excited particle dynamics and nonthermal excited particle distributions. We compare common damage threshold metrics based on the energy density and excited electron density.