Frontiers in Psychiatry最新文献

{"title":"Heterogeneity of benefit finding in maintenance hemodialysis patients: a decision tree-based subgroup analysis of self-efficacy and social support.","authors":"Yan Fan, Tianci Tong, Yiru Wang, Yanlin Gong, Jing Wu, Jing Chu","doi":"10.3389/fpsyt.2025.1665458","DOIUrl":"10.3389/fpsyt.2025.1665458","url":null,"abstract":"<p><strong>Background: </strong>Benefit finding (BF) improves quality of life in maintenance hemodialysis (MHD) patients, yet population heterogeneity remains understudied. This study explores how self-efficacy and social support jointly influence BF patterns and identifies distinct patient subgroups.</p><p><strong>Methods: </strong>This multi-center cross-sectional study was conducted from April to September 2023 at five tertiary hospitals in Shanghai, China, enrolling 352 MHD patients. Data from the Benefit Finding Scale, General Self-Efficacy Scale, and Perceived Social Support Scale were used to construct a Classification and Regression Tree (CART) model employing five-fold cross-validation, with a maximum depth of 3 and a minimum leaf node size of 10%.</p><p><strong>Results: </strong>The CART model (R²=0.278) identified five distinct BF subgroups (<i>p</i><0.001): Low Self-Efficacy Constrained Group, Psychological Resource Deficient Group, Internally Belief Driven Group, Balanced Resource Adaptation Group, and Resource Integrated Advantage Group, each characterized by unique combinations of self-efficacy and social support. Significant differences were observed among the subgroups in terms of gender(<i>p</i>=0.045), education level(<i>p</i>=0.010), and employment status(<i>p</i>=0.003).</p><p><strong>Conclusion: </strong>BF levels in MHD patients demonstrated significant variations influenced by the combined effects of self-efficacy and social support. The decision tree model successfully identified patient subgroups with distinct psychological resource configurations. These findings provide a theoretical foundation for implementing stratified and personalized psychological interventions in clinical practice. Clinicians can identify and prioritize vulnerable patients who simultaneously lack self-efficacy and social support, offering them targeted positive psychological interventions that may potentially improve treatment adherence and long-term prognosis.</p>","PeriodicalId":12605,"journal":{"name":"Frontiers in Psychiatry","volume":"16 ","pages":"1665458"},"PeriodicalIF":3.2,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12488675/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145232316","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":"Patterns and predictors of post-traumatic growth and fear of disease progression in breast cancer patients: a latent profile analysis.","authors":"Keying Guo, Haipeng Li, Weina Du, Ling Cheng, Wei Wang, Zhongtao Zhou, Jing Zhang","doi":"10.3389/fpsyt.2025.1604787","DOIUrl":"10.3389/fpsyt.2025.1604787","url":null,"abstract":"<p><strong>Purpose: </strong>The primary aim of this study is to explore distinct patterns of post-traumatic growth (PTG) and fear of cancer progression (FOP) among breast cancer patients through latent profile analysis (LPA). Additionally, we assessed the differences in demographic and disease-related factors among breast cancer patients with varying patterns. Finally, we examined the influence of socio-demographic, disease-related, social support, anxiety, depression, and post-traumatic stress disorder (PTSD) factors on the varying patterns, aiming to assist healthcare providers in developing more effective psychological care strategies for breast cancer patients.</p><p><strong>Method: </strong>A questionnaire survey was conducted on 752 breast cancer patients. Latent profile analysis was employed to explore the patterns of post-traumatic growth and fear of cancer progression in these patients, and multiple logistic regression analysis was used to identify the predictive factors for the different patterns.</p><p><strong>Results: </strong>Based on the fit indices of latent class analysis, a three-class model was identified as the optimal solution, which included the Resisting group, Struggling group, and Growth group. In the Resisting group (24.33%), patients reported low levels of post-traumatic growth and high levels of fear of cancer progression; in the Struggling group (46.14%), patients exhibited moderate levels of post-traumatic growth and low levels of fear of cancer progression; in the Growth group (29.52%), patients demonstrated high levels of post-traumatic growth and moderate levels of fear of cancer progression. Additionally, the multiple logistic regression analysis reveals that marital status, place of residence, education level, disease stage, social support, anxiety, and post-traumatic stress disorder levels in breast cancer patients serve as significant factors influencing the distinct patterns of post-traumatic growth and fear of progression.</p><p><strong>Conclusions: </strong>This study suggests that there is heterogeneity in the PTG and FOP patterns in breast cancer patients. It provides a research basis for promoting the psychological recovery of breast cancer patients and highlights the importance of focusing on the positive effects of PTG while mitigating the negative impact of FOP. Healthcare providers can implement targeted nursing interventions based on the different patterns observed in breast cancer patients.</p>","PeriodicalId":12605,"journal":{"name":"Frontiers in Psychiatry","volume":"16 ","pages":"1604787"},"PeriodicalIF":3.2,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12488680/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145232337","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":"Gut microbiota dysbiosis induces neuroinflammation in major depressive disorders: mechanisms targeting the gut-brain axis.","authors":"Jiayi Li, Bei Wan, Le Zhou, Xin Qian, Fushun Wang, Simeng Gu, Xianjun Ma, Jason H Huang","doi":"10.3389/fpsyt.2025.1629182","DOIUrl":"10.3389/fpsyt.2025.1629182","url":null,"abstract":"<p><p>Major depressive disorder (MDD) is a kind of mental disorder with high mortality, suicide and relapse rates, and might be the world's leading cause of health burden by 2030. Growing evidence suggests that neuroinflammation is closely linked to depressive pathogenesis and suggests that MDD can be called a microglia disease. And activation of the P2X7R/NLRP3 signaling pathway in microglia is a key mechanism causing nerve damage. In addition, it is recently found that gut microbiota might initiate neuroinflammatory processes underlying MDD, and gut microbiota dysbiosis can be affected by sleep to ameliorate neuroinflammatory processes. In this paper, we reviewed recent advances about gut-brain axis interactions with neuroinflammation, which might shed light on the mechanisms and treatment of depression.</p>","PeriodicalId":12605,"journal":{"name":"Frontiers in Psychiatry","volume":"16 ","pages":"1629182"},"PeriodicalIF":3.2,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12490329/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145232241","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":"Therapeutic effects of eye movement desensitization and reprocessing for substance use disorders: a meta-analysis of addiction-related and emotional symptoms.","authors":"Ji-Woo Seok, Kahye Kim, Jaeuk U Kim","doi":"10.3389/fpsyt.2025.1660046","DOIUrl":"10.3389/fpsyt.2025.1660046","url":null,"abstract":"<p><strong>Objective: </strong>This meta-analysis identified the effects of EMDR on both addiction-related symptoms (e.g., craving, addiction severity) and comorbid emotional symptoms (e.g., posttraumatic stress disorder (PTSD), depression, anxiety), and the influence of moderator variables across these symptom domains in substance use disorders (SUDs).</p><p><strong>Methods: </strong>We systematically searched the literature published up to June 2025 through major databases including Cochrane, PubMed, Embase, and PsycINFO. A total of 14 studies were included in the final analysis, including randomized controlled trials (RCTs), randomized crossover studies, and quasi-experimental studies. The effect size was calculated using Hedges' g based on pre-to-post treatment changes, and a meta-analysis was conducted using a random-effects model. In addition, meta-regression and subgroup analyses were performed, focusing on moderator variables such as study design, intervention type, total session number, and participant characteristics.</p><p><strong>Results: </strong>The meta-analysis results showed that EMDR produced a significant treatment effect with moderate or higher effect sizes for craving (g = 0.55), PTSD (g = 0.69), depression (g = 0.64), and anxiety (g = 0.72) symptoms, and heterogeneity ranged from low to moderate. On the other hand, the effect on addiction severity was not significant (g = 0.14). The effect on craving showed significant differences depending on the diagnostic group of the participants (Alcohol/Drug Use Group vs. Nicotine Use Group) and the study design (RCT vs. non-RCT). Some studies observed a short-term effect of reducing craving, but the evidence supporting long-term treatment effects was limited.</p><p><strong>Conclusion: </strong>These findings suggest that EMDR may be an effective intervention not only for emotional comorbid symptoms in individuals with SUD, but also for certain addiction-related symptoms, particularly in reducing craving. However, the quality of the included studies was generally low, and there was a lack of evidence regarding long-term effects. Future studies should employ more rigorous research designs, include sufficient sample sizes and long-term follow-up assessments, and perform detailed analyses that take into account intervention types and participant characteristics. Such research will help to clarify the therapeutic utility of EMDR and promote its practical application in addiction treatment settings.</p><p><strong>Systematic review registration: </strong>https://www.crd.york.ac.uk/PROSPERO/view/CRD420251070837, identifier CRD420251070837.</p>","PeriodicalId":12605,"journal":{"name":"Frontiers in Psychiatry","volume":"16 ","pages":"1660046"},"PeriodicalIF":3.2,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12484161/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145212515","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":"Assessing suicide risk in patients with heart failure: a systematic review and meta-analysis.","authors":"Yujia Zeng","doi":"10.3389/fpsyt.2025.1674302","DOIUrl":"10.3389/fpsyt.2025.1674302","url":null,"abstract":"<p><strong>Background: </strong>Heart failure (HF) is a long-lasting and challenging condition. It often relates to issues with mental health and suicidal behavior. However, the exact level of suicide risk in HF patients is not well understood. This systematic review and meta-analysis aimed to assess the connection between HF and suicide risk in adults.</p><p><strong>Methods: </strong>PubMed, Scopus, and Web of Science were searched up to June 2025. The emphasis was on research that presented outcomes related to suicide in patients with heart failure. Included studies featured adults who were 18 years of age or older and reporting quantitative information, like odds ratios, about suicidal ideation, attempts, or completions. To explore heterogeneity, subgroup analyses were performed based on diagnostic criteria for suicidal behaviors (ICD-9 versus ICD-10) and study design.</p><p><strong>Results: </strong>Out of 1,643 records, 8 studies were eligible based on the criteria described. The pooled analysis showed a significantly higher risk of suicide in HF patients compared to the general population with no major cardiovascular diseases (OR = 1.62, 95% CI: 1.49-1.74) compared to healthy subjects, with substantial variability (I² = 88.23%). Subgroup analyses revealed that studies using ICD-9 criteria (OR = 1.75, 95% CI: 1.65-1.85) and case-control designs (OR = 1.75, 95% CI: 1.66-1.83) had significantly higher pooled suicide risk estimates than studies using ICD-10 criteria (OR = 1.46, 95% CI: 1.38-1.54) and cohort designs (OR = 1.46, 95% CI: 1.38-1.54). Furthermore, between-group differences were statistically significant (Q = 20.05 and 23.49, p < 0.001), suggesting that diagnostic criteria and study design were significant sources of heterogeneity.</p><p><strong>Conclusion: </strong>HF is connected to a significantly higher risk of suicide. These results emphasize the importance of regular mental health check-ups and early support in HF care, especially shortly after diagnosis.</p>","PeriodicalId":12605,"journal":{"name":"Frontiers in Psychiatry","volume":"16 ","pages":"1674302"},"PeriodicalIF":3.2,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12484135/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145212437","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":"Detecting electrophysiological alterations in psychiatric disorders through event-related microstates: a systematic review.","authors":"Andrea Perrottelli, Francesco Flavio Marzocchi, Giorgio Di Lorenzo, Chiara D'Amelio, Noemi Sansone, Luigi Giuliani, Pasquale Pezzella, Edoardo Caporusso, Antonio Melillo, Giulia Maria Giordano, Paola Bucci, Armida Mucci, Silvana Galderisi","doi":"10.3389/fpsyt.2025.1591079","DOIUrl":"10.3389/fpsyt.2025.1591079","url":null,"abstract":"<p><strong>Introduction: </strong>Event-related potentials (ERPs), recorded through electroencephalography (EEG) during sensory and cognitive tasks, have been consistently employed to investigate electrophysiological correlates of psychiatric disorders. However, traditional peak component analysis of ERPs is limited by the <i>a priori</i> selection of time windows and electrodes. Microstate analysis, a data-driven approach based on identifying periods of quasi-stable scalp topographies, has been applied to ERP data, offering a valuable tool for understanding the temporal dynamics of large-scale neural networks. This review aims to provide a comprehensive summary of studies examining event-related microstates in individuals with psychiatric disorders.</p><p><strong>Methods: </strong>A systematic review of English-language articles indexed in PubMed, Scopus, and Web of Science (WoS) was conducted on May 1, 2024. Studies were included only if they applied microstate analysis to ERP data and analyzed data from at least one group of patients with psychiatric disorders in comparison to healthy controls.</p><p><strong>Results: </strong>Of the 1,115 records screened, 17 studies were included in the final qualitative synthesis. The majority of these studies (n=8) included patients with schizophrenia, using various tasks focusing mainly on visuospatial processing (n=6) and face processing (n=6). Regarding the microstate methodology, the primary clustering approach employed was the k-means clustering algorithm (n=8), while the cross-validation criterion (n=10) was the most commonly used measure of fit. Sixteen of the 17 studies reported at least one significant difference in microstate features between patients and healthy controls, mainly in the temporal and topographic characteristics of microstates and the sequence of their occurrence.</p><p><strong>Conclusions: </strong>This review highlights the value of event-related potential microstates analysis in identifying spatiotemporal alterations in brain dynamics associated with psychiatric disorders. However, the limited number of studies and the heterogeneity of experimental paradigms constrain the generalizability of the findings.</p><p><strong>Systematic review registration: </strong>https://www.crd.york.ac.uk/PROSPERO, identifier CRD42024529185.</p>","PeriodicalId":12605,"journal":{"name":"Frontiers in Psychiatry","volume":"16 ","pages":"1591079"},"PeriodicalIF":3.2,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12484025/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145212525","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":"Changes in self-reported alcohol consumption at high and low consumption in the wake of the COVID-19 pandemic: a test of the polarization hypothesis.","authors":"Alexander Tran, Huan Jiang, Shannon Lange, Mindaugas Štelemėkas, Daumantas Stumbrys, Ilona Tamutienė, Jürgen Rehm","doi":"10.3389/fpsyt.2025.1516090","DOIUrl":"10.3389/fpsyt.2025.1516090","url":null,"abstract":"<p><strong>Background: </strong>The Coronavirus Disease 2019 (COVID-19) pandemic and associated public health measures impacted alcohol use. It was hypothesized that the COVID-19 pandemic led to a polarization of drinking-that is, heavy drinkers increased their drinking, while light to moderate drinkers decreased their drinking. The aim of the current study was to probe deeper into this hypothesis to determine precisely which segment of heavy drinkers increased their consumption.</p><p><strong>Methods: </strong>We obtained data from the Reducing Alcohol Related Harm Standard European Alcohol Survey for Lithuania, for two separate years; 2015 (n = 1354, mean age = 41.04 ± 13.04, females = 680, 50.2%) and 2020 (n = 1015, mean age = 42.27 ± 13.44, females = 513, 50.5%). Average daily consumption (in grams per day) was decomposed into deciles and compared pre-COVID-19 to onset of the COVID-19 pandemic across the 10^th, 9^th, and 1^st deciles. To test our hypothesis we conducted a non-parametric pairwise comparison (Mann-Whitney U test) of alcohol consumption at the upper deciles. We also conducted a multivariate linear regression using mental well-being and sociodemographic variables as predictors of consumption.</p><p><strong>Results: </strong>Alcohol consumption decreased from 2015 to 2020, mean = 11.49 cl of pure alcohol (SD = 8.23) vs. mean = 10.71 cl of pure alcohol (SD = 12.12), <i>p</i> <.00001, respectively. However, in the highest decile there was an increase from 2015 to 2020 mean = 29.26 cl of pure alcohol (SD = 5.44) vs. mean = 39.23 cl of pure alcohol (SD = 20.58), <i>p</i> = .0003, respectively. This reversal pattern was not observed in the second highest nor the lowest decile. The multivariate model was significant (F(11,1881) = 20.85, p <.00001, adjusted R² = 0.10) and showed significant year by sex interaction (p = .021) and year by occupation interaction (p = .023) on alcohol consumption.</p><p><strong>Conclusion: </strong>Although COVID-19 was associated with declines in alcohol consumption, in Lithuania it appears that there was an increase in consumption among the heaviest drinkers, driven partially by a smaller difference in consumption between males and females.</p>","PeriodicalId":12605,"journal":{"name":"Frontiers in Psychiatry","volume":"16 ","pages":"1516090"},"PeriodicalIF":3.2,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12484121/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145212444","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":"Depressive symptom trajectories and incident metabolic syndrome in middle-aged and older adults: A longitudinal analysis of the ELSA study.","authors":"Xuhui Chen, Jiaofen Wu, Ying Wang, Yulian He, Honghua Ye, Jianhui Liu","doi":"10.3389/fpsyt.2025.1666316","DOIUrl":"10.3389/fpsyt.2025.1666316","url":null,"abstract":"<p><strong>Background: </strong>The association between late-life depressive symptoms and metabolic syndrome (MetS) remains a critical public health concern, yet most existing evidence relies on cross-sectional designs that fail to capture the dynamic nature of depression. This longitudinal study aimed to investigate how depressive symptom trajectories influence MetS risk in middle-aged and older adults, while examining potential effect modification by sociodemographic and lifestyle factors.</p><p><strong>Methods: </strong>Using data from the English Longitudinal Study of Ageing (ELSA), we identified three trajectories of depressive symptoms (persistent low, moderate, and high) through group-based trajectory modeling (GBTM) across four survey waves. Multivariable logistic regression assessed associations between trajectories and incident MetS, adjusted for age, sex, education, marital status, smoking, drinking, and income. Stratified analyses evaluated effect modification by these factors.</p><p><strong>Results: </strong>Participants with persistent moderate (OR=1.08, 95% CI: 1.03-1.15) and high (OR=1.07, 1.01-1.14) trajectories had significantly higher MetS risk versus the low trajectory. Associations were strongest in adults <65 years, married individuals, and those with smoking/drinking habits (p <0.05), but did not vary by sex. Physical activity mediated 18.9% of the total effect (95% CI: 5-37%).</p><p><strong>Conclusion: </strong>Dynamic depressive symptoms independently predict MetS risk, with amplified effects in younger, married, and health-risk subgroups. Targeted interventions addressing both depressive symptoms and modifiable behaviors (e.g., physical activity) may mitigate metabolic risk in aging populations.</p>","PeriodicalId":12605,"journal":{"name":"Frontiers in Psychiatry","volume":"16 ","pages":"1666316"},"PeriodicalIF":3.2,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12483997/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145212468","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":"Influence of genetic polymorphism and trauma on cortical structures and PTSD severity: Imaging genetics generalized structured component analysis.","authors":"Min Jin Jin, Gyeongcheol Cho, Hyeonjin Jeon, Younyoung Choi, Heungsun Hwang, Seung-Hwan Lee","doi":"10.3389/fpsyt.2025.1613322","DOIUrl":"10.3389/fpsyt.2025.1613322","url":null,"abstract":"<p><strong>Objective: </strong>The changes in brain structures affected by potentially traumatic events (PTEs) and polymorphisms of various genes are associated with posttraumatic stress disorder (PTSD). Our study investigated the pathophysiology of PTSD along with PTEs, genes, and brain regions of interest (ROIs) via imaging genetics generalized structured component analysis (IG-GSCA).</p><p><strong>Methods: </strong>A total of 231 participants (137 healthy volunteers and 94 PTSD patients) were enrolled. We performed T1-weighted structural magnetic resonance imaging, genotyping for nine genes (SLC6A4, FKBP5, ADCYAP1R1, BDNF, COMT, HTR3A, DRD2, NR3C1, and OXTR), and psychological assessments measuring PTEs, PTSD symptoms, and alcohol problems. Genes, PTEs, and their interactions were set as predictors for volumes of 60 brain ROIs, and volumes of the 60 ROIs were set as predictors for the PTSD severity, implying that volumes of brain ROIs were set to mediate the effects of genes and PTEs on the PTSD severity.</p><p><strong>Results: </strong>Our results suggested that HTR3A was related to the volume of the anterior cingulate gyrus and NR3C1 was related to the volume of the central operculum. Also, volumes of the central operculum, occipital fusiform gyrus, and anterior cingulate gyrus were negatively associated with the severity of PTSD, while PTEs were positively associated with PTSD severity.</p><p><strong>Conclusions: </strong>This study is one of the few that examined the relationships between various factors related to PTSD symptom severity, including genetics, environment, gene-environment interactions, and brain regions of interest (ROIs), all within a single model. The findings indicated mediating pathways from the HTR3A gene polymorphism to PTSD symptom severity through the volume of the anterior cingulate gyrus, and from the NR3C1 gene polymorphism to PTSD symptom severity via the volume of the central operculum. However, only the indirect effect involving NR3C1 was statistically significant. Additionally, the study found a significant association between the occipital fusiform gyrus and PTSD symptom severity.</p>","PeriodicalId":12605,"journal":{"name":"Frontiers in Psychiatry","volume":"16 ","pages":"1613322"},"PeriodicalIF":3.2,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12484210/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145212484","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":"The interrelation between major depressive symptoms and ambivalence over emotional expression among college students: a network perspective on gender differences.","authors":"Xiangxiang Chen","doi":"10.3389/fpsyt.2025.1658159","DOIUrl":"10.3389/fpsyt.2025.1658159","url":null,"abstract":"<p><strong>Introduction: </strong>Major depressive disorder is a common and severe mental disorder among college students. Meanwhile, depressive symptoms and ambivalence over emotional expression are closely related, while little research explores their bidirectional relationship. To address this gap, the current study employed a network approach to identify the interrelation between depressive symptoms and ambivalence over emotional expression among college students.</p><p><strong>Methods: </strong>Initially, 2,103 college students were recruited and completed the patient health questionnaire (PHQ) -9 and the ambivalence over emotional expression questionnaire (AEQ). In the final analysis, 1,362 college students passed the attention check and were included (674 females; age: <i>Mean</i> = 18.61, <i>SD</i> = 0.84). The symptom network approach was employed to explore the interrelation between depressive symptoms and ambivalence over emotional expression, as well as to explore the gender difference between symptom networks.</p><p><strong>Results: </strong>The strongest edges between depression and ambivalence over emotional expression were observed between \"concentration difficulties\" (PHQ7) and \"emotional rumination\" (AEQ1), as well as between \"guilt\" (PHQ6) and \"regret expressing\" (AEQ5) in the overall sample. The edge between \"inhibit positive emotion expression\" (AEQ3) and \"inhibit negative emotion expression\" (AEQ4) was the strongest edge weight in male and female networks. For bridging symptoms, \"concentration difficulties\" (PHQ7), \"emotional rumination\" (AEQ1), \"guilt\" (PHQ6), and \"regret expressing\" (AEQ5) were the biggest bridging symptoms (<i>Z</i> score above 1) that linked depression symptoms and ambivalence over emotional expression. Between gender networks, \"guilt\" (PHQ6) was the common and strongest bridging symptom (<i>Z</i> score above 1) in both male and female networks. Network robustness and stability were also estimated.</p><p><strong>Conclusion: </strong>The current study provides a new perspective on the interrelation between depressive symptoms and ambivalence over emotional expression, as well as examines the gender difference. In light of the findings, further intervention, such as cognitive control training or mindfulness-based interventions that focus on bridging symptoms, may disassociate the interrelation between depression and ambivalence over emotional expression.</p>","PeriodicalId":12605,"journal":{"name":"Frontiers in Psychiatry","volume":"16 ","pages":"1658159"},"PeriodicalIF":3.2,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12484036/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145212556","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}