BMJ mental health最新文献

{"title":"Use of GLP-1 receptor agonists and risks of suicide attempts or self-harm in patients with type 2 diabetes: a multicountry self-control case series study.","authors":"Zi-Yang Peng,Vincent Ka Chun Yan,Vincent Kai Chung Wong,Ian Chi Kei Wong,Esther Wai Yin Chan,Eric Yuk Fai Wan,Huang-Tz Ou","doi":"10.1136/bmjment-2025-301635","DOIUrl":"https://doi.org/10.1136/bmjment-2025-301635","url":null,"abstract":"BACKGROUNDInconclusive findings regarding the association between suicidal ideation/suicide attempt and glucagon-like peptide-1 receptor agonists (GLP-1RAs) have been recently revealed in a small number of studies.METHODSThis was a multinational self-controlled case series analysis using Hong Kong's Clinical Data Analysis and Reporting System (2008-2023), Taiwan's National Health Insurance Research Database (2012-2020) and the UK's IQVIA Medical Research Database with The Health Improvement Network (2000-2021). A total of 642 suicide attempt or self-harm cases with GLP-1RA use were included to assess pooled incident rate ratios (IRRs) of suicide attempts or self-harm associated with GLP-1RA treatment versus non-treatment with their 95% CIs.RESULTSThe pooled IRR (95% CI) of suicide attempts or self-harm associated with GLP-1RA treatment versus non-treatment was 0.67 (0.51 to 0.88). The suicide attempt or self-harm risk varied with the time window of GLP-1RA use, with pooled IRRs (95% CIs) of 1.94 (0.86 to 4.37), 0.61 (0.23 to 1.63), 0.72 (0.37 to 1.41), 0.60 (0.32 to 1.09) and 0.63 (0.49 to 0.87) for the pretreatment period and Days 1-30, Days 31-90, Days 91-180 and Days>180 of GLP-1RA treatment, respectively. Subgroup analyses by age, sex and individual GLP-1RAs and sensitivity analyses showed no significant increase in the suicide attempt or self-harm risk associated with GLP-1RA use. The point estimate and CI of the E-value for suicide attempts or self-harm were 2.35 and 1.53, respectively.CONCLUSIONSWe found no increase in the risks of suicide attempts or self-harm following GLP-1RA treatment, and even in the long-term use of GLP-1RAs. Close monitoring of potential suicide attempts or self-harm and ensuring treatment tolerability during treatment initiation are required, and well-controlled or pragmatic trials remain warranted to validate our findings.","PeriodicalId":72434,"journal":{"name":"BMJ mental health","volume":"2 3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144504613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tracking mood symptoms across the menstrual cycle in women with depression using ecological momentary assessment and heart rate variability.","authors":"Kyra Delray,Glyn Lewis,Joseph F Hayes","doi":"10.1136/bmjment-2025-301674","DOIUrl":"https://doi.org/10.1136/bmjment-2025-301674","url":null,"abstract":"BACKGROUNDThere is limited research on premenstrual exacerbation (PME) of depression. It is unclear how mood and fatigue fluctuate across the menstrual cycle, and whether heart rate variability (HRV) tracks these fluctuations.OBJECTIVETo determine if there is PME of mood, energy and HRV in depressed women.METHODSCohort study in women with depression, using the mobile health platform, Juli, to track their menstrual cycle, HRV, mood and energy using ecological momentary assessment (EMA). We modelled the relationship between mood, energy, HRV and menstrual cycle with different lag times (0-3 days) using simple polynomial regression. Results are reported as the SD change from the average rating for an individual for each day across the menstrual cycle.FINDINGSWomen diagnosed with depression (N=352) tracked their menstrual cycle (≥2 periods), HRV and recorded ≥5 daily mood and energy levels (N=9393 entries). We found a gradual decline in mood beginning at 14 days before menstruation and continuing until 3 days before the next menstruation (β=0.0004, 95% CI 0.0001 to 0.0008, p<0.001). Mood ratings were lowest from 3 days before until 2 days after menstruation; 54.3% (95% CI 48.9% to 59.6%) had a lower mean score during this period than the rest of the cycle. Through the rest of the cycle, participants experienced improvement in mood. Mood rating was associated with HRV on the same day (β=-0.0022, 95% CI -0.0020 to -0.0026, p=0.005) and 1-3 days prior. Energy was not associated with the day of the menstrual cycle.CONCLUSIONSThere is variation in mood across the menstrual cycle in women with depression, consistent with PME.CLINICAL IMPLICATIONSEMA over two consecutive cycles could be useful for understanding menstrual cycle-related mood changes and diagnostic clarity may lead to alternative treatment and management options.","PeriodicalId":72434,"journal":{"name":"BMJ mental health","volume":"58 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144478863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the mental health research priorities of parents with depression and their children.","authors":"Victoria Powell,Emma Meilak,Chloe Booth,Lucy Owen,Lucy Brookes-Howell,Anita Thapar,Frances Rice","doi":"10.1136/bmjment-2024-301279","DOIUrl":"https://doi.org/10.1136/bmjment-2024-301279","url":null,"abstract":"BACKGROUNDWhile patient and public involvement (PPI) in research is growing, PPI in the setting of research priorities at an early stage of the research process has been limited to date. Where research priorities have been assessed, this has been done by working with members of the general public. Research priorities are likely to vary between different groups, and families affected by depression have been recognised as an important group for research.OBJECTIVEWe aimed to explore the mental health research priorities of parents with a history of depression and their children.METHODSData came from the Early Prediction of Adolescent Depression (EPAD) study-a UK longitudinal cohort study of parents with a history of depression and their children. During interviews, parents (n=161) and their young adult children (n=131) were asked open-ended questions about their research priorities. Responses were analysed using qualitative content analysis.FINDINGSParents and their young adult children highlighted the following research priority categories: treatment and intervention, including prevention and early intervention, public understanding of mental health, environmental or social factors that might contribute to poor mental health, the role of genetics in intergenerational transmission, and a developmental and intergenerational approach to research.CONCLUSIONSWhile prior research has identified the importance of intervention and social factors, our study also identified public understanding of mental health and aetiological research, particularly on the contribution of genetics relative to environmental factors, as priorities for parents with depression and their children.CLINICAL IMPLICATIONSFindings highlight the value of involving diverse groups in priority-setting exercises, including groups that are recognised as important for research, to allow their views to be incorporated into agenda-setting initiatives, including for research funding.","PeriodicalId":72434,"journal":{"name":"BMJ mental health","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144370272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Increasing incidence of ADHD among children, adolescents and young adults: COVID-19 pandemic-driven trend in Korea (2012-2023).","authors":"Jihun Song,Sun Jae Park,Seogsong Jeong,Asaph Young Chun,Sang Min Park","doi":"10.1136/bmjment-2025-301662","DOIUrl":"https://doi.org/10.1136/bmjment-2025-301662","url":null,"abstract":"BACKGROUNDThe association between the incidence of attention deficit hyperactivity disorder (ADHD) and the factors induced by the COVID-19 pandemic has not been fully investigated. Environmental stressors during or after the pandemic, including online classes and lifestyle disruptions, and postinfection neuroimmune changes likely contributed to the increase of ADHD.METHODSThe onset of ADHD was operationally defined as the diagnosis accompanied by a prescription history for ADHD medication. The incidence was observed among all Korean citizens (6-29 years). To evaluate the risk of ADHD, we established a retrospective and observational cohort, using data from the National Insurance Claims Database, the COVID-19 Vaccine Registry and the national surveillance system to find the patient. Our cohort (586 860 and 1 172 735 participants before and during the pandemic, respectively) comprised three age groups: school-aged children (6-12 years, n=227 276), adolescents (13-19 years, n=333 032) and young adults (20-29 years, n=1 199 287); sex ratio (male/female) was approximately 1.2.RESULTSWe analysed the incidence of ADHD in Korea (2012-2023), focusing on the COVID-19 pandemic's impact on individuals. The incidence of ADHD increased during the pandemic, exceeding values predicted by negative binomial regression and autoregressive integrated moving average models. We also evaluated the risk of ADHD according to SARS-CoV-2 infection. As a result, these nationwide data revealed a significant rise in incidence (0.85 (before) vs 2.02 (during)), with SARS-CoV-2 infection identified as a critical risk factor.CONCLUSIONThese findings suggest the need for early intervention and neurological evaluations in ADHD risk groups, particularly among SARS-CoV-2-infected individuals.","PeriodicalId":72434,"journal":{"name":"BMJ mental health","volume":"608 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144335302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Role of large language models in mental health research: an international survey of researchers' practices and perspectives.","authors":"Jake Linardon, Mariel Messer, Cleo Anderson, Claudia Liu, Zoe McClure, Hannah K Jarman, Simon B Goldberg, John Torous","doi":"10.1136/bmjment-2025-301787","DOIUrl":"10.1136/bmjment-2025-301787","url":null,"abstract":"<p><strong>Background: </strong>Large language models (LLMs) offer significant potential to streamline research workflows and enhance productivity. However, limited data exist on the extent of their adoption within the mental health research community.</p><p><strong>Objective: </strong>We examined how LLMs are being used in mental health research, the types of tasks they support, barriers to their adoption and broader attitudes towards their integration.</p><p><strong>Methods: </strong>714 mental health researchers from 42 countries and various career stages (from PhD student, to early career researcher, to Professor) completed a survey assessing LLM-related practices and perspectives.</p><p><strong>Findings: </strong>496 (69.5%) reported using LLMs to assist with research, with 94% indicating use of ChatGPT. The most common applications were for proofreading written work (69%) and refining or generating code (49%). LLM use was more prevalent among early career researchers. Common challenges reported by users included inaccurate responses (78%), ethical concerns (48%) and biased outputs (27%). However, many users indicated that LLMs improved efficiency (73%) and output quality (44%). Reasons for non-use were concerns with ethical issues (53%) and accuracy of outputs (50%). Most agreed that they wanted more training on responsible use (77%), that researchers should be required to disclose use of LLMs in manuscripts (79%) and that they were concerned about LLMs affecting how their work is evaluated (60%).</p><p><strong>Conclusion: </strong>While LLM use is widespread in mental health research, key barriers and implementation challenges remain.</p><p><strong>Clinical implications: </strong>LLMs may streamline mental health research processes, but clear guidelines are needed to support their ethical and transparent use across the research lifecycle.</p>","PeriodicalId":72434,"journal":{"name":"BMJ mental health","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12164621/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144295427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fractal biomarker of daily activity for women with early onset depression.","authors":"Hui-Wen Yang, Mirjam Münch, Ma Cherrysse Ulsa, Arlen Gaba, Angelina Birchler-Pedross, Sylvia Frey, Vera Knoblauch, Peng Li, Sarah Laxhmi Chellappa, Christian Cajochen, Kun Hu","doi":"10.1136/bmjment-2024-301321","DOIUrl":"10.1136/bmjment-2024-301321","url":null,"abstract":"<p><strong>Background: </strong>Depression is a major health issue in adolescence and young adulthood, emphasising the need for early risk identification. Patients with major depressive disorder (MDD) often show disturbed daily rest-activity patterns, but such changes are often confounded by medication intake, comorbidities and disease duration.</p><p><strong>Objective: </strong>In this exploratory analysis, we tested whether there are specific changes in daily rest activity (from wrist-worn actigraphy) in women at the onset of MDD without medication, as compared with age-matched controls.</p><p><strong>Methods: </strong>Participants from the MDD group (age 19-32, 24.73±5.13 (mean±SD), N=15) and control group (age 20-31, 24.89±3.82, N=9) completed ~7 day ambulatory actigraphy recordings, followed by a stringently controlled circadian laboratory protocol to assess endogenous circadian melatonin levels. We analysed the daily rhythm of mean activity levels and non-linear fractal dynamics in eight 3-hour time bin across the 24 hours, correlating these measures with depressive symptom severity and endogenous melatonin levels.</p><p><strong>Findings: </strong>Using approaches from non-linear fractal dynamics, we showed that, compared with healthy controls, women at MDD onset had a higher fractal activity correlation (FAC) during the last hours of sleep, indicating more 'wake-like' patterns (FAC within 0-3 hour before wake: 0.92±0.64 (SD) in MDD vs 0.77±0.18 in controls, p=0.02). The alteration was independent of mean activity level and wake duration but appeared to be associated with depressive symptom severity (p=0.08). Moreover, there was a trend association for altered FAC with endogenous melatonin levels in the MDD group (for onefold increase in melatonin level in the last 3 hours before wake, the FAC increased by 0.33±0.17 (SE), p=0.08).</p><p><strong>Conclusions: </strong>Pre-wake FAC is elevated in unmedicated women at MDD onset and may serve as a potential biomarker associated with symptom severity and circadian physiology.</p><p><strong>Clinical implications: </strong>These findings provide proof-of-concept evidence that unique fractal motor activity patterns may support early detection of MDD.</p>","PeriodicalId":72434,"journal":{"name":"BMJ mental health","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12161324/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144276915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Affective disorders and chronic inflammatory conditions: analysis of 1.5 million participants in Our Future Health.","authors":"Arish Mudra Rakshasa-Loots, Duncan Swiffen, Christina Steyn, Katie F M Marwick, Daniel J Smith","doi":"10.1136/bmjment-2025-301706","DOIUrl":"10.1136/bmjment-2025-301706","url":null,"abstract":"<p><strong>Background: </strong>Chronic inflammation is associated with psychiatric disorders. If inflammation is linked mechanistically to mental health, people living with chronic inflammatory conditions may experience mental health issues at higher rates than others.</p><p><strong>Objective: </strong>To test this hypothesis, we analysed data from 1 563 155 adults living in the UK within the newly launched UK-wide Our Future Health research cohort.</p><p><strong>Methods: </strong>Participants were split between two groups: people with self-reported lifetime diagnoses of six autoimmune conditions (n=37 808) and those without these diagnoses (n=1 525 347).</p><p><strong>Findings: </strong>Lifetime prevalence (95% CI) of self-reported lifetime diagnoses of any affective disorder (depression, bipolar disorder, anxiety) was significantly higher (p<0.001) among people with autoimmune conditions (28.8% (28.4% to 29.3%)) than in the general population (17.9% (17.8% to 18.0%)), with similar trends observed for individual affective disorders. Prevalence of current depressive symptoms (9-item Patient Health Questionnaire (PHQ-9) ≥10, 31.7% vs 23.4%) and current anxiety symptoms (7-item Generalised Anxiety Disorder Scale (GAD-7) ≥8, 28.1% vs 21.6%) was also higher among people with autoimmune conditions. Odds of experiencing affective disorders, calculated using logistic regression models, were significantly higher in this group compared with the general population (OR (95% CI) = 1.86 (1.82 to 1.90), p<0.001), and these odds remained elevated when adjusting for the effects of age, sex, ethnicity (OR=1.75 (1.71 to 1.79), p<0.001) and additionally, for household income, parental history of affective disorders, chronic pain status and frequency of social interactions (OR=1.48 (1.44 to 1.52), p<0.001).</p><p><strong>Conclusions: </strong>Overall, the risk of affective disorders among people living with autoimmune conditions was nearly twice that of the general population.</p><p><strong>Clinical implications: </strong>Although the observational design of this study does not allow for direct inference of causal mechanisms, this analysis of a large national dataset suggests that chronic exposure to systemic inflammation may be linked to a greater risk for affective disorders. Future work should seek to investigate potential causal mechanisms for these associations.</p>","PeriodicalId":72434,"journal":{"name":"BMJ mental health","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12161381/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144267986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multivariate brain morphological patterns across mood disorders: key roles of frontotemporal and cerebellar areas.","authors":"Sevdalina Kandilarova, Eleonora Maggioni, Letizia Squarcina, Diyana Najar, Maysam Homadi, Emma Tassi, Drozdstoy Stoyanov, Paolo Brambilla","doi":"10.1136/bmjment-2024-301511","DOIUrl":"10.1136/bmjment-2024-301511","url":null,"abstract":"<p><strong>Background: </strong>Differentiating major depressive disorder (MDD) from bipolar disorder (BD) remains a significant clinical challenge, as both disorders exhibit overlapping symptoms but require distinct treatment approaches. Advances in voxel-based morphometry and surface-based morphometry have facilitated the identification of structural brain abnormalities that may serve as diagnostic biomarkers.</p><p><strong>Objective: </strong>This study aimed to explore the relationships between brain morphological features, such as grey matter volume (GMV) and cortical thickness (CT), and demographic and clinical variables in patients with MDD and BD and healthy controls (HC) using multivariate analysis methods.</p><p><strong>Methods: </strong>A total of 263 participants, including 120 HC, 95 patients with MDD and 48 patients with BD, underwent T1-weighted MRI. GMV and CT were computed for standardised brain regions, followed by multivariate partial least squares (PLS) regression to assess associations with demographic and diagnostic variables.</p><p><strong>Findings: </strong>Reductions in frontotemporal CT were observed in MDD and BD compared with HC, but distinct trends between BD and MDD were also detected for the CT of selective temporal, frontal and parietal regions. Differential patterns in cerebellar GMV were also identified, with lobule CI larger in MDD and lobule CII larger in BD. Additionally, BD showed the same trend as ageing concerning reductions in CT and posterior cerebellar and striatal GMV. Depression severity showed a transdiagnostic link with reduced frontotemporal CT.</p><p><strong>Conclusions: </strong>This study highlights shared and distinct structural brain alterations in MDD and BD, emphasising the potential of neuroimaging biomarkers to enhance diagnostic accuracy. Accelerated cortical thinning and differential cerebellar changes in BD may serve as targets for future research and clinical interventions.</p><p><strong>Clinical implications: </strong>Our findings underscore the value of objective neuroimaging markers in increasing the precision of mood disorder diagnoses, improving treatment outcomes.</p>","PeriodicalId":72434,"journal":{"name":"BMJ mental health","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12161407/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144276916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Circadian rhythms and mental health.","authors":"Daniel J Smith, Elise McGlashan, John Gottlieb","doi":"10.1136/bmjment-2025-301818","DOIUrl":"10.1136/bmjment-2025-301818","url":null,"abstract":"","PeriodicalId":72434,"journal":{"name":"BMJ mental health","volume":"28 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12161293/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144259507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intimate partner violence, traumatic brain injury and long-term mental health outcomes in midlife: the Drake IPV study.","authors":"Natalie D Jenkins, Craig W Ritchie, Karen Ritchie, Graciela Muniz Terrera, William Stewart","doi":"10.1136/bmjment-2024-301439","DOIUrl":"10.1136/bmjment-2024-301439","url":null,"abstract":"<p><strong>Background: </strong>Approximately 30% of women experience intimate partner violence (IPV) in their lifetime, often with traumatic brain injury (TBI) exposure. Nevertheless, there has been limited research exploring lifelong brain health outcomes following IPV with TBI. To address this, we investigated the relationship between IPV, TBI and midlife mental health outcomes within an observational cohort study.</p><p><strong>Methods: </strong>PREVENT Dementia is a cohort study with participants recruited aged 40-59 years for longitudinal measures of brain health. Participants reporting histories of IPV-related physical abuse (IPV-PA) at study recruitment were identified and compared with control participants with no IPV-PA exposure regarding histories of TBI and prevalence of lifetime and ongoing mental health outcomes using standardised assessments.</p><p><strong>Results: </strong>Among 632 participants, 90 (14%) reported IPV-PA history. Compared with unexposed participants, history of IPV-PA was associated with higher TBI exposure, together with higher lifetime and ongoing diagnoses of depression, anxiety and sleep disorders, and post-traumatic stress disorder (PTSD) symptomology. Notably, the risk of ongoing and concurrent midlife mental health disorders remained despite IPV-PA exposure having ceased on average 27 years before assessment. History of TBI in individuals with IPV was associated with increased risk of ongoing PTSD symptomology and concurrent mental health outcomes.</p><p><strong>Conclusions: </strong>Our data confirm high TBI exposure among individuals with a history of IPV-PA, while also demonstrating that this population shows higher rates of ongoing adverse mental health outcomes in midlife, often decades after abuse. This work underlines the prevalence of IPV-PA and the necessity to consider TBI exposure and long-term brain health outcomes among this population.</p>","PeriodicalId":72434,"journal":{"name":"BMJ mental health","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12161325/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144259508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}