Frontiers in Psychiatry最新文献

{"title":"Case Report: Cannabis and kratom-induced self-amputation of ears and penis.","authors":"Marek Broul, Xenia Rudenko, Adam Bajus, Jiří Král, Dan Mwemena Kyenge, Zdenka Staňková, Jakub Albrecht","doi":"10.3389/fpsyt.2025.1479863","DOIUrl":"10.3389/fpsyt.2025.1479863","url":null,"abstract":"<p><p>This report describes the case of a 31-year-old male lumberjack with severe self-inflicted injuries, including the amputation of both auricles and the penis, under the influence of cannabinoids, mitragynine, and 7-hydroxymitragynine. Emergency surgery was performed, and psychiatric evaluation revealed substance-induced psychosis. The patient's motivation for reconstructive penile surgery led to abstinence from the substance use and cooperation with treatment. Five months after hospitalization, successful penile reconstruction was completed. The patient remained abstinent and was engaged in regular psychiatric follow-ups, showing no signs of acute psychopathology. This case underscores the importance of using a multidisciplinary approach to manage severe self-harm behaviors, and highlights the critical role of patient motivation in achieving positive outcomes.</p>","PeriodicalId":12605,"journal":{"name":"Frontiers in Psychiatry","volume":"16 ","pages":"1479863"},"PeriodicalIF":3.2,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11959165/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143763747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Determinants of victimization in patients with severe mental illness: results from a nation-wide cross-sectional survey in the Netherlands.","authors":"Astrid M Kamperman, Milan Zarchev, Jens Henrichs, Sten P Willemsen, Emmanuel M E H Lesaffre, Wilma E Swildens, Yolanda Nijssen, Hans Kroon, Anneke D J F van Schaik, Mark van der Gaag, Philippe A E G Delespaul, Jaap van Weeghel, Dike van de Mheen, Stefan Bogaerts, Cornelis Lambert Mulder","doi":"10.3389/fpsyt.2025.1511841","DOIUrl":"10.3389/fpsyt.2025.1511841","url":null,"abstract":"<p><strong>Objective: </strong>To examine determinants of the prevalence and frequency of criminal victimization (i.e. both personal and property crime victimization) in outpatients with severe mental illness.</p><p><strong>Methods: </strong>Data was collected using a multisite epidemiological survey including a random sample of 956 adult outpatients with SMI. Data were collected between 2010 and 2012. Data on 12-month victimization prevalence and frequency were obtained using the victimization scale of the Dutch Crime and Victimization Survey. Demographic characteristics, clinical determinants, e.g., clinical diagnosis, psychosocial functioning, drug use and alcohol abuse over the past 12 months, co-morbid PTSD diagnosis, and victimological determinants e.g. physical abuse, physical neglect and sexual abuse in childhood, perpetration of violence over the past 12-months, and anger disposition were assessed as determinants. Univariable and multivariable hurdle regression analyses were conducted to test associations of the potential determinants with victimization prevalence and frequency.</p><p><strong>Results: </strong>Twelve-month prevalence rates of personal and property crime were 19% and 28%, respectively. Clinical characteristics were more pronounced regarding personal crime victimization. In the multivariable model, presence of psychotic disorder, drug use, childhood physical and sexual abuse, and recent violent perpetration were associated with the 12-month prevalence or frequency rate of personal crime victimization. Native Dutch and divorced patients were more at risk as well. Next to this being employed, poor social functioning, having perpetrated a violent crime, as well as alcohol abuse and recent drug use were all significantly related to property crime prevalence or frequency rate in the multivariable model. In absolute terms, the effect sizes observed tended to be moderate to small. The multivariate models, however, explained the outcome variance moderately well (Nagelkerke's pseudo R² = 25.0 - 27.9%.</p><p><strong>Conclusions: </strong>Clinicians should be aware of the high risk of victimization among their patients with severe mental illness. Particular attention should be devoted to people with substance use histories and perpetrators of violence, since they are also at an increased risk of being victims as well.</p>","PeriodicalId":12605,"journal":{"name":"Frontiers in Psychiatry","volume":"16 ","pages":"1511841"},"PeriodicalIF":3.2,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11955743/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143752207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preliminary results of the EPIDIA4Kids study on brain function in children: multidimensional ADHD-related symptomatology screening using multimodality biometry.","authors":"Yanice Guigou, Alexandre Hennequin, Théo Marchand, Mouna Chebli, Lucie Isoline Pisella, Pascal Staccini, Vanessa Douet Vannucci","doi":"10.3389/fpsyt.2025.1466107","DOIUrl":"10.3389/fpsyt.2025.1466107","url":null,"abstract":"<p><p>Attention-deficit hyperactivity disorder (ADHD) occurs in 5.9% of youth, impacting their health and social conditions often across their lifespan. Currently, early diagnosis is constrained by clinical complexity and limited resources of professionals to conduct evaluations. Scalable methods for ADHD screening are thus needed. Recently, digital epidemiology and biometry, such as the visual, emotional, or digit pathway, have examined brain dysfunction in ADHD individuals. However, whether biometry can support screening for ADHD symptoms using a multimodal tech system is still unknown. The EPIDIA4Kids study aims to create objective measures, i.e., biometrics, that will provide a comprehensive transdiagnostic picture of individuals with ADHD, aligning with current evidence for comorbid presentations. Twenty-four children aged 7 to 12 years performed gamified tasks on an unmodified tablet using the XAI4Kids^® multimodal system, which allows extraction of biometrics (eye-, digit-, and emotion-tracking) from video and touch events using machine learning. Neuropsychological assessments and questionnaires were administered to provide ADHD-related measures. Each ADHD-related measure was evaluated with each biometric using linear mixed-effects models. In contrast to neuro-assessments, only two digit-tracking features had age and sex effects (p < 0.001) among the biometrics. Biometric constructs were predictors of working memory (p < 0.0001) and processing speed (p < 0.0001) and, to a lower extent, visuo-spatial skills (p = 0.003), inattention (p = 0.04), or achievement (p = 0.04), where multimodalities are crucial to capture several symptomatology dimensions. These results illustrate the potential of multimodality biometry gathered from a tablet as a viable and scalable transdiagnostic approach for screening ADHD symptomatology and improving accessibility to specialized professionals. Larger populations including clinically diagnosed ADHD will be needed for further validation.</p>","PeriodicalId":12605,"journal":{"name":"Frontiers in Psychiatry","volume":"16 ","pages":"1466107"},"PeriodicalIF":3.2,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11955964/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143752217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Detection of formal thought disorders in child and adolescent psychosis using machine learning and neuropsychometric data.","authors":"Przemysław T Zakowicz, Maksymilian A Brzezicki, Charalampos Levidiotis, Sojeong Kim, Oskar Wejkuć, Zuzanna Wisniewska, Dominika Biernaczyk, Barbara Remberk","doi":"10.3389/fpsyt.2025.1550571","DOIUrl":"10.3389/fpsyt.2025.1550571","url":null,"abstract":"<p><strong>Introduction: </strong>Formal Thought Disorder (FTD) is a significant clinical feature of early-onset psychosis, often associated with poorer outcomes. Current diagnostic methods rely on clinical assessment, which can be subjective and time-consuming. This study aimed to investigate the potential of neuropsychological tests and machine learning to differentiate individuals with and without FTD.</p><p><strong>Methods: </strong>A cohort of 27 young people with early-onset psychosis was included. Participants underwent neuropsychological assessment using the Iowa Gambling Task (IGT) and Simple Reaction Time (SRT) tasks. A range of machine learning models (Logistic Regression (LR), Support Vector Machines (SVM), Random Forest (RF) and eXtreme Gradient Boosting (XGBoost)) were employed to classify participants into FTD-positive and FTD-negative groups based on these neuropsychological measures and their antipsychotic regimen (medication load in chlorpromazine equivalents).</p><p><strong>Results: </strong>The best performing machine learning model was LR with mean +/- standard deviation of cross validation Receiver Operating Characteristic Area Under Curve (ROC AUC) score of 0.850 (+/- 0.133), indicating moderate-to-good discriminatory performance. Key features contributing to the model's accuracy included IGT card selections, SRT reaction time (most notably standard deviation) and chlorpromazine equivalent milligrams. The model correctly classified 24 out of 27 participants.</p><p><strong>Discussion: </strong>This study demonstrates the feasibility of using neuropsychological tests and machine learning to identify FTD in early-onset psychosis. Early identification of FTD may facilitate targeted interventions and improve clinical outcomes. Further research is needed to validate these findings in larger, more diverse populations and to explore the underlying neurocognitive mechanisms.</p>","PeriodicalId":12605,"journal":{"name":"Frontiers in Psychiatry","volume":"16 ","pages":"1550571"},"PeriodicalIF":3.2,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11955656/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143752205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interpreting and operationalizing the incurability requirement in Canada's assisted dying legislation.","authors":"Mona Gupta, Jocelyn Downie","doi":"10.3389/fpsyt.2025.1549289","DOIUrl":"10.3389/fpsyt.2025.1549289","url":null,"abstract":"<p><p>To access medical assistance in dying (MAiD) in Canada, a person must have a \"grievous and irremediable medical condition\" defined in part as \"a serious and incurable illness, disease, or disability\". Thus, the clinical assessment of the incurability of a person's condition is central to determining MAiD eligibility. However, the clinical interpretation and operationalization of the term have been uncertain due to the absence of a clear legal definition and evolving legislation. This has led to confusion and controversy in the public and professional discussion of MAiD eligibility. In this paper, we examine various attempts to interpret and operationalize the term \"incurable\", identifying the limitations of each approach. We aim to overcome these limitations by proposing a method for operationalizing the term. We argue that our approach: (1) is consistent with the current legal framework, (2) is consistent with the interpretations of the terminology used in the <i>Criminal Code</i>, and (3) reflects the clinical knowledge and reasoning about the full range of medical conditions that can lead to a request for MAiD. In our analysis, we show that incurability cannot be understood only as a feature of a person's medical condition but resides in the interplay between the nature of the pathology and the person's treatment decision-making. Our analysis should help with the ongoing operationalization of the incurability requirement in Canada. It may also be helpful to clinicians in other jurisdictions that either invoke or are considering invoking similar terms/concepts.</p>","PeriodicalId":12605,"journal":{"name":"Frontiers in Psychiatry","volume":"16 ","pages":"1549289"},"PeriodicalIF":3.2,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11956532/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143752211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial: Safety and side effects of psychotropic medications, volume III.","authors":"Renato de Filippis, Mireia Solerdelcoll, Mohammadreza Shalbafan","doi":"10.3389/fpsyt.2025.1562008","DOIUrl":"10.3389/fpsyt.2025.1562008","url":null,"abstract":"","PeriodicalId":12605,"journal":{"name":"Frontiers in Psychiatry","volume":"16 ","pages":"1562008"},"PeriodicalIF":3.2,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11949921/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143752209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning model for reproducing subjective sensations and alleviating sound-induced stress in individuals with developmental disorders.","authors":"Itsuki Ichikawa, Yukie Nagai, Yasuo Kuniyoshi, Makoto Wada","doi":"10.3389/fpsyt.2025.1412019","DOIUrl":"10.3389/fpsyt.2025.1412019","url":null,"abstract":"<p><strong>Introduction: </strong>An everyday challenge frequently encountered by individuals with developmental disorders is auditory hypersensitivity, which causes distress in response to certain sounds and the overall sound environment. This study developed deep neural network (DNN) models to address this issue. One model predicts changes in subjective sound perception to quantify auditory hypersensitivity characteristics, while the other determines the modifications needed to sound stimuli to alleviate stress. These models are expected to serve as a foundation for personalized support systems for individuals with developmental disorders experiencing auditory hypersensitivity.</p><p><strong>Methods: </strong>Experiments were conducted with participants diagnosed with autism spectrum disorder or attention deficit hyperactivity disorder who exhibited auditory hypersensitivity (the developmental disorders group, DD) and a control group without developmental disorders (the typically developing group, TD). Participants were asked to indicate either \"how they perceived the sound in similar past situations\" (Recollection task) or \"how the sound should be modified to reduce stress\" (Easing task) by applying various auditory filters to the input auditory stimulus. For both tasks, the DNN models were trained to predict the filter settings and subjective stress ratings based on the input stimulus, and the performance and accuracy of these predictions were evaluated.</p><p><strong>Results: </strong>Three main findings were obtained. (a) Significant reductions in stress ratings were observed in the Easing task compared to the Recollection task. (b) The prediction models successfully estimated stress ratings, achieving a correlation coefficient of approximately 0.4 to 0.7 with the actual values. (c) Differences were observed in the performance of parameter predictions depending on whether data from the entire participant pool were used or whether data were analyzed separately for the DD and TD groups.</p><p><strong>Discussion: </strong>These findings suggest that the prediction model for the Easing task can potentially be developed into a system that automatically reduces sound-induced stress through auditory filtering. Similarly, the model for the Recollection task could be used as a tool for assessing auditory stress. To establish a robust support system, further data collection, particularly from individuals with DD, is necessary.</p>","PeriodicalId":12605,"journal":{"name":"Frontiers in Psychiatry","volume":"16 ","pages":"1412019"},"PeriodicalIF":3.2,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11949911/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143752213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Metacognitive deficits in major depressive disorder.","authors":"Shuning Hong, Mengjiao Chi, Haisi Chen, Fengfeng Chu, Yuping Zheng, Ming Tao","doi":"10.3389/fpsyt.2025.1524046","DOIUrl":"10.3389/fpsyt.2025.1524046","url":null,"abstract":"<p><strong>Objective: </strong>We aimed to investigate the metacognition of patients with major depressive disorder (MDD) and its correlation with their condition, as well as explore its diagnostic significance in the early stages of the disease, thereby providing a reference for clinical treatment.</p><p><strong>Methods: </strong>Using a cross-sectional research design, we selected 66 patients diagnosed with MDD and 99 healthy controls for a mental rotation task; we examined their metacognitive performance using a post-decisional confidence assessment paradigm. We evaluated various aspects, including their performance on first-order tasks (d'), metacognitive bias (average confidence), metacognitive sensitivity (meta-d'), metacognitive efficiency (the M Ratio).</p><p><strong>Results: </strong>In terms of the first-order task performance (d'), the group with MDD scored significantly lower than the healthy controls (t = -4.274, p < 0.001, respectively). Regarding metacognitive bias(average confidence), metacognitive sensitivity (meta-d'), and metacognitive efficiency (the M ratio), the group with MDD performed significantly worse than the healthy controls (t = -4.280, p < 0.001; t = -3.540, p < 0.001; t = -2.104, p = 0.039, respectively). In addition, the Hamilton Rating Scale for Depression (HAMD-17) scores of the patients with MDD were significantly negatively correlated with their d', average confidence levels, meta-d', and M ratio(r = -0.468, p < 0.001; r = -0.601, p < 0.001;r = -0.457, p < 0.001; r = -0.362, p = 0.003), The average confidence levels of MDD patients are significantly positively correlated with d', meta-d', and M ratio. (r = -0.552, p < 0.001; r = 0.738, p < 0.001;r =0.273, p =0.02).</p><p><strong>Conclusion: </strong>The metacognitive abilities of patients with MDD were significantly impaired, and the degree of metacognitive impairment was related to the severity of clinical depressive symptoms. Moreover, the impairment of their metacognitive abilities was correlated with negative metacognitive bias.</p><p><strong>Clinical trial registration: </strong>https://www.chictr.org.cn, identifier ChiCTR2400091242.</p>","PeriodicalId":12605,"journal":{"name":"Frontiers in Psychiatry","volume":"16 ","pages":"1524046"},"PeriodicalIF":3.2,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11950674/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143752215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Construction and validation of a machine learning-based nomogram model for predicting pneumonia risk in patients with catatonia: a retrospective observational study.","authors":"Yi-Chao Wang, Qian He, Yue-Jing Wu, Li Zhang, Sha Wu, Xiao-Jia Fang, Shao-Shen Jia, Fu-Gang Luo","doi":"10.3389/fpsyt.2025.1557659","DOIUrl":"10.3389/fpsyt.2025.1557659","url":null,"abstract":"<p><strong>Objective: </strong>Catatonia was often complicated by pneumonia, and the development of severe pneumonia after admission posed significant challenges to its treatment. This study aimed to develop a Nomogram Model based on pre-admission characteristics of patients with catatonia to predict the risk of pneumonia after admission.</p><p><strong>Methods: </strong>This retrospective observational study reviewed catatonia patients hospitalized at Hangzhou Seventh People's Hospital from September 2019 to November 2024. Data included demographic characteristics, medical history, maintenance medications, and pre-admission clinical presentations. Patients were divided into catatonia with and without pneumonia groups. The LASSO Algorithm was used for feature selection, and seven machine learning models: Decision Tree(DT), Logistic Regression(LR), Naive Bayes(NB), Random Forest(RF), K Nearest Neighbors(KNN), Gradient Boosting Machine(GBM), Support Vector Machine(SVM) were trained. Model performance was evaluated using AUC, Accuracy, Sensitivity, Specificity, Positive Predictive Value, Negative Predictive Value, F1 Score, Cohen's Kappa, and Brier Score, and Brier score. The best-performing model was selected for multivariable analysis to determine the variables included in the final Nomogram Model. The Nomogram Model was further validated through ROC Curves, Calibration Curves, Decision Curve Analysis (DCA), and Bootstrapping to ensure discrimination, calibration, and clinical applicability.</p><p><strong>Results: </strong>Among 156 patients, 79 had no pneumonia, and 77 had pneumonia. LASSO Algorithm identified 15 non-zero coefficient variables (LASSO 1-SEλ=0.076). The GBM showed the best performance (AUC = 0.954, 95% CI: 0.924-0.983, <i>vs</i> other models by DeLong's test: <i>P</i> < 0.05). Five key variables: Age, Clozapine, Diaphoresis, Intake Refusal, and Waxy Flexibility were used to construct the Nomogram Model. Validation showed good discrimination (AUC = 0.803, 95% CI: 0.735-0.870), calibration, and clinical applicability. Internal validation (Bootstrapping, n=500) confirmed model stability (AUC = 0.814, 95% CI: 0.743-0.878; Hosmer-Lemeshow <i>P</i> = 0.525).</p><p><strong>Conclusion: </strong>This study developed a Nomogram Model based on five key factors, demonstrating significant clinical value in predicting the risk of pneumonia in hospitalized patients with catatonia.</p>","PeriodicalId":12605,"journal":{"name":"Frontiers in Psychiatry","volume":"16 ","pages":"1557659"},"PeriodicalIF":3.2,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11951867/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143752203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Self-compassion modulates autonomic and psychological responses to stress among adults with generalized anxiety disorders.","authors":"Lijun Sun, Xuejun Qi, Xi Luo, Ying Wang, Xianwei Che, Yonghui Shen","doi":"10.3389/fpsyt.2025.1461758","DOIUrl":"10.3389/fpsyt.2025.1461758","url":null,"abstract":"<p><strong>Background: </strong>Self-compassion is associated with emotional well-being, yet its benefits in generalized anxiety disorder (GAD) patients remain unclear. This study investigated the impact of self-compassion on emotional and physiological stress responses in individuals diagnosed with GAD.</p><p><strong>Methods: </strong>Seventy-seven GAD patients were categorized into high (n = 39) and low (n = 38) self-compassion groups using the Self-Compassion Scale. Electrocardiograms were recorded during a stress-inducing task, in which negative feedback was provided on personal intelligence and career development. Participants reported state anxiety and perceived stress pre- and post-task.</p><p><strong>Results: </strong>When exposed to a stressor, individuals with higher self-compassion had lower heart rates (<i>t</i> ₍₇₅₎ = -2.06, <i>p</i> = 0.043), higher heart rate variability (<i>t</i> ₍₇₅₎ = 2.73, <i>p</i> = 0.04), and lower anxiety (<i>t</i> ₍₇₅₎ = -2.07, <i>p</i> = 0.041) compared to the lower self-compassion group. Moreover, heart rate variability was negatively correlated with anxiety across patients (<i>r</i> = -0.31, df = 75, <i>p</i> = 0.03).</p><p><strong>Conclusion: </strong>These results highlight the role of self-compassion in managing psychological and physiological responses to stress in GAD patients and indicate the potential of self-compassion interventions in GAD treatments.</p>","PeriodicalId":12605,"journal":{"name":"Frontiers in Psychiatry","volume":"16 ","pages":"1461758"},"PeriodicalIF":3.2,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11949995/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143752219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}