Acceptance of mental illness and attitude towards pharmacotherapy among patients hospitalized in forensic psychiatry departments

Aim of the studyThe aim of the study was to assess the level of acceptance of the disease and attitudes towards pharmacological treatment in patients hospitalized in forensic psychiatry departments and to analyze the relationship between these variables and the length of hospitalization.Materials and methodsThe study included 121 patients hospitalized in forensic psychiatry wards. The Acceptance of Illness Scale (AIS) and the Drug Attitude Inventory (DAI) were used. Statistical analysis was performed using nonparametric tests, with a significance level of p < 0.05.ResultsThe mean AIS score was 28 points, indicating moderate to good disease acceptance. A positive attitude toward pharmacological treatment was demonstrated by 74% of respondents. There was no significant correlation between disease acceptance and attitudes toward treatment (p = 0.70), nor was there any effect of hospitalization length on attitudes toward pharmacotherapy (p = 0.317).ConclusionsPatients of forensic psychiatry wards demonstrate a medium or high level of acceptance of the disease and a mostly positive attitude towards pharmacotherapy; the lack of significant correlations between these variables and the independence from the length of hospitalization indicate the need for individualized therapy.

A phenomenological study on psychological resilience among medical vocational college freshmen

BackgroundMedical vocational college freshmen face severe challenges to their psychological resilience from various stressful events upon their enrollment. This qualitative study aimed to explore the authentic experiences and intrinsic characteristics of psychological resilience among medical vocational college freshmen.MethodsThe study employed a descriptive phenomenological design. A purposive sample of 24 medical vocational college freshmen was recruited as participants. Semi-structured interviews were conducted to collect data between January 2025 and February 2025. The interviews were transcribed verbatim and analyzed using the Colaizzi descriptive analysis method.ResultsData analysis identified nine subthemes falling into three macrothemes: (a) Challenges: The Erosion of Psychological Resilience, describing how freshmen’s psychological resilience is eroded when they face difficulties in adapting to college life; (b) Support: The Recovery of Psychological Resilience, focusing on how freshmen regain resilience through internal and external support; (c) Cognition: The Maintenance of Psychological Resilience, explaining the factors that promote the sustained development of freshmen’s psychological resilience.ConclusionFreshmen face pressures in academics, interpersonal relationships, and self-management. Family and peer support, together with personal growth, contribute to resilience recovery. Educators should employ cognitive restructuring, experiential learning, and other strategies to help maintain their psychological resilience.

Harsh discipline mediates the association between parenting stress and internalizing problems in children and adolescents: survey-based and online intervention evidence

BackgroundParenting stress evokes harsh discipline and induces internalizing problems in children and adolescents. To test this hypothesis, this study examined the potential mediating role of harsh discipline in the association between parenting stress and internalizing problems in children and adolescents while considering the moderating effect of emotion regulation.MethodsTwo studies were conducted: Study 1 was a cross-sectional survey using questionnaires (N = 971), and Study 2 implemented a three-week online parental intervention training program combining courses and psychological diary recording (N = 123).ResultsBoth studies consistently demonstrated that harsh discipline mediated the link between parenting stress and internalizing problems in children and adolescents. Furthermore, acceptance and cognitive reappraisal reduced the effect of parenting stress on harsh discipline, whereas distraction and rumination enhanced it. Expressive suppression had no significant moderating effect. The intervention enhanced parents’ emotion regulation (increased acceptance), reduced parenting stress and alleviated internalizing problems in children and adolescents, with preliminary evidence of reduced harsh discipline.ConclusionThese findings clarify the psychological mechanisms through which parenting stress influences child adaptiveness and underscore the value of interventions focused on emotion regulation in mitigating parenting stress, harsh discipline and enhancing child mental health.

Combinatorial effects of multi-site stimulation on depression-related brain regions: clinical data analysis and predictive modeling

BackgroundDespite growing evidence supporting deep brain stimulation (DBS) for treatment- resistant depression (TRD), how stimulation delivered across hemispheres or across multiple targets interact to shape large-scale network activity remains poorly characterized.ObjectiveUsing a unique opportunity to simultaneously stimulate the subcallosal cingulate (SCC) and ventral capsule/ventral striatum (VC/VS) in subjects with TRD while recording neural activity across putative prefrontal networks underlying depression via intracranial electrodes, we investigated whether bilateral or multi-target stimulation has additive, synergistic/super-additive, or antagonistic/sub-additive effects on power modulation across depression-related brain networks.MethodsFour DBS leads, and ten stereo-electroencephalography (sEEG) leads were implanted in depression-related prefrontal brain regions in three subjects with TRD. Power modulation in response to unilateral and bilateral stimulation, as well as interaction classes of combinatorial stimulations, were evaluated across various combinations of frequency bands and region of interests (ROI) using marginal predictions from a linear mixed-effects model which were then used as input for machine learning classifiers to predict the additive interaction class of combinatorial stimulations.ResultsBilateral and multi-target stimulation produced additive or sub-additive interactions in most cases. A decision tree classifier identified ROI as the most important feature for predicting interaction class, followed by stimulation target and spectral frequency band.

A data-driven risk stratification framework for clinical obesity

Nature Medicine, Published online: 30 April 2026; doi:10.1038/s41591-026-04370-1

To inform precision management of obesity, this study developed and externally validated a parsimonious model (OBSCORE) that accurately predicts the risk of 18 obesity-related complications. This was achieved by integrating thousands of clinical, molecular and other health-related characteristics assessed in 200,000 individuals with overweight or obesity within a machine-learning framework.

Data-driven prioritization of high-risk individuals for weight loss interventions

Nature Medicine, Published online: 30 April 2026; doi:10.1038/s41591-026-04353-2

OBSCORE is a machine learning-based risk prediction tool that uses a set of clinical features to stratify individuals with a body mass index (BMI) of ≥ 27 kg m−2 by their 10-year risk of obesity-related complications, outperforming existing models. OBSCORE is generalizable across diverse populations, supporting risk-based prioritization of obesity interventions that goes beyond simple BMI thresholds.