{"title":"Professorships in child and adolescent psychiatry relative to a similarly sized medical specialty in the UK and Ireland: cross-sectional study - commentary, Sharma et al.","authors":"Rajaei K Sharma,Katharine A Smith,Andrea Cipriani","doi":"10.1192/bjp.2025.10462","DOIUrl":"https://doi.org/10.1192/bjp.2025.10462","url":null,"abstract":"","PeriodicalId":22495,"journal":{"name":"The British Journal of Psychiatry","volume":"87 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2025-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145427811","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}
Børge Sivertsen, Jens C. Skogen, Keith J. Petrie, Rory C. O’Connor, Ann Kristin Skrindo Knudsen, Benedicte Kirkøen, Anne Reneflot, Kari-Jussie Lønning, Mari Hysing
Background
Mental health problems among university students have been on the rise, with particularly high levels reported during the COVID-19 pandemic. While many studies have examined the immediate effects of the pandemic, long-term trends in anxiety, depression, non-suicidal self-harm (NSSH) and suicidality remain less explored.
Aims
To investigate trends in mental health problems among Norwegian higher education students before, during and after the COVID-19 pandemic, focusing on anxiety, depression, NSSH and suicidality.
Method
The Students’ Health and Wellbeing Study (SHOT) is a national survey of Norwegian students, with data from six waves (2010–2023). Four primary waves (2010, 2014, 2018 and 2022) were supplemented by two additional waves during the COVID-19 pandemic (2021 and 2023), including nearly 200 000 students across all waves. Mental health outcomes were measured using the Hopkins Symptom Checklist(HSCL). Sex-specific cut-offs were applied to estimate the prevalence of major depressive episodes (MDE) and generalised anxiety disorder (GAD). Secondary outcomes included NSSH, suicidal thoughts and suicide attempts.
Results
Mental health problems increased consistently over the 13 years, with a more pronounced rise among women. Mean HSCL scores significantly increased for both sexes from 2010 to 2023, peaking during the COVID-19 lockdown in 2021, followed by a slight decline in 2022, but remaining higher than pre-pandemic levels. The prevalence of MDE and GAD followed similar patterns, increasing from 12.5 to 33.7% in women and 9.4 to 26.8% in men. Reports of NSSH also surged post-lockdown, particularly among women, while suicidal thoughts and attempts increased, especially in women, between 2021 and 2022.
Conclusion
Student mental health has worsened over the past decade. Although there was some post-pandemic improvement, rates of anxiety, depression and suicidality remain high. These findings underscore the continued importance of tiered mental health support and structural interventions within higher education to address student mental health.
{"title":"Mental health and suicidal ideation from 2010 to 2023 among university students: national repeated cross-sectional analysis","authors":"Børge Sivertsen, Jens C. Skogen, Keith J. Petrie, Rory C. O’Connor, Ann Kristin Skrindo Knudsen, Benedicte Kirkøen, Anne Reneflot, Kari-Jussie Lønning, Mari Hysing","doi":"10.1192/bjp.2025.10435","DOIUrl":"https://doi.org/10.1192/bjp.2025.10435","url":null,"abstract":"<span>Background</span><p>Mental health problems among university students have been on the rise, with particularly high levels reported during the COVID-19 pandemic. While many studies have examined the immediate effects of the pandemic, long-term trends in anxiety, depression, non-suicidal self-harm (NSSH) and suicidality remain less explored.</p><span>Aims</span><p>To investigate trends in mental health problems among Norwegian higher education students before, during and after the COVID-19 pandemic, focusing on anxiety, depression, NSSH and suicidality.</p><span>Method</span><p>The Students’ Health and Wellbeing Study (SHOT) is a national survey of Norwegian students, with data from six waves (2010–2023). Four primary waves (2010, 2014, 2018 and 2022) were supplemented by two additional waves during the COVID-19 pandemic (2021 and 2023), including nearly 200 000 students across all waves. Mental health outcomes were measured using the Hopkins Symptom Checklist(HSCL). Sex-specific cut-offs were applied to estimate the prevalence of major depressive episodes (MDE) and generalised anxiety disorder (GAD). Secondary outcomes included NSSH, suicidal thoughts and suicide attempts.</p><span>Results</span><p>Mental health problems increased consistently over the 13 years, with a more pronounced rise among women. Mean HSCL scores significantly increased for both sexes from 2010 to 2023, peaking during the COVID-19 lockdown in 2021, followed by a slight decline in 2022, but remaining higher than pre-pandemic levels. The prevalence of MDE and GAD followed similar patterns, increasing from 12.5 to 33.7% in women and 9.4 to 26.8% in men. Reports of NSSH also surged post-lockdown, particularly among women, while suicidal thoughts and attempts increased, especially in women, between 2021 and 2022.</p><span>Conclusion</span><p>Student mental health has worsened over the past decade. Although there was some post-pandemic improvement, rates of anxiety, depression and suicidality remain high. These findings underscore the continued importance of tiered mental health support and structural interventions within higher education to address student mental health.</p>","PeriodicalId":22495,"journal":{"name":"The British Journal of Psychiatry","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145397273","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}
In low- and middle-income countries (LMICs), suicide is a major problem. Research on the effectiveness of large-scale suicide prevention interventions is limited.
Aims
To test the effectiveness of an integrated intervention (school-based prevention; reducing access to means of suicide; increased identification and management of suicide risk) in reducing deaths by suicide and suicide attempts; and to evaluate the implementation and effectiveness of sub-interventions.
Method
In this pragmatic cluster randomised controlled trial, 124 villages from Mehsana, India, were randomly assigned to either intervention or control arm. The intervention comprised school-based awareness intervention, community pesticide storage and training of community health workers (CHWs) to recognise, support, refer and follow up people at risk. Intention-to-treat analysis using mixed-effects Poisson regression tested the primary outcome (suicide attempts plus deaths by suicide), and multilevel linear models assessed sub-interventions. The primary outcome was captured through a novel suicide surveillance system.
Results
There was no statistically significant difference in the primary outcome between the intervention (54 of 62 consenting villages) and control (62 villages) arms. Separately, the intervention arm showed a 43% reduction in risk of death by suicide at 12 months (suicide rate 30.7 versus 43.6 per 100 000 person-years in intervention versus control arm; incidence rate ratio 0.57, 95% CI: 0.32–1.02, adjusting for baseline and clustering). Most students (≥90%, n = 2330/2560) from 47 schools received the intervention and had lower depression and suicidal ideation than controls at month 3. Nearly all villages (52/54, 96.2%) provided pesticide lockers (n = 8370 households, 88.83% uptake). Compared with controls, CHWs in the intervention arm had significantly higher knowledge, confidence and skills, and identified 108 at-risk individuals.
Conclusions
The intervention increased identification without significantly reducing suicide attempts, but reduced suicide deaths. This trial, involving 116 villages and a multicomponent intervention implemented at scale, advances suicide prevention and complex intervention research, especially in LMICs.
{"title":"Implementation of an integrated community-based suicide prevention programme, Gujarat, India: cluster randomised controlled trial","authors":"Lakshmi Vijayakumar, Soumitra Pathare, Nikhil Jain, Deepa Pandit, Isha Lohumi, Jasmine Kalha, Laura Shields-Zeeman","doi":"10.1192/bjp.2025.10431","DOIUrl":"https://doi.org/10.1192/bjp.2025.10431","url":null,"abstract":"<span>Background</span><p>In low- and middle-income countries (LMICs), suicide is a major problem. Research on the effectiveness of large-scale suicide prevention interventions is limited.</p><span>Aims</span><p>To test the effectiveness of an integrated intervention (school-based prevention; reducing access to means of suicide; increased identification and management of suicide risk) in reducing deaths by suicide and suicide attempts; and to evaluate the implementation and effectiveness of sub-interventions.</p><span>Method</span><p>In this pragmatic cluster randomised controlled trial, 124 villages from Mehsana, India, were randomly assigned to either intervention or control arm. The intervention comprised school-based awareness intervention, community pesticide storage and training of community health workers (CHWs) to recognise, support, refer and follow up people at risk. Intention-to-treat analysis using mixed-effects Poisson regression tested the primary outcome (suicide attempts plus deaths by suicide), and multilevel linear models assessed sub-interventions. The primary outcome was captured through a novel suicide surveillance system.</p><span>Results</span><p>There was no statistically significant difference in the primary outcome between the intervention (54 of 62 consenting villages) and control (62 villages) arms. Separately, the intervention arm showed a 43% reduction in risk of death by suicide at 12 months (suicide rate 30.7 versus 43.6 per 100 000 person-years in intervention versus control arm; incidence rate ratio 0.57, 95% CI: 0.32–1.02, adjusting for baseline and clustering). Most students (≥90%, <span>n</span> = 2330/2560) from 47 schools received the intervention and had lower depression and suicidal ideation than controls at month 3. Nearly all villages (52/54, 96.2%) provided pesticide lockers (<span>n</span> = 8370 households, 88.83% uptake). Compared with controls, CHWs in the intervention arm had significantly higher knowledge, confidence and skills, and identified 108 at-risk individuals.</p><span>Conclusions</span><p>The intervention increased identification without significantly reducing suicide attempts, but reduced suicide deaths. This trial, involving 116 villages and a multicomponent intervention implemented at scale, advances suicide prevention and complex intervention research, especially in LMICs.</p>","PeriodicalId":22495,"journal":{"name":"The British Journal of Psychiatry","volume":"53 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145396913","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}
Satish Suhas,Guru S Gowda,Krishna Prasad Muliyala,Venkata Senthil Kumar Reddi
{"title":"Navigating artificial intelligence's role in suicide prevention: balancing innovation with ethical vigilance.","authors":"Satish Suhas,Guru S Gowda,Krishna Prasad Muliyala,Venkata Senthil Kumar Reddi","doi":"10.1192/bjp.2024.252","DOIUrl":"https://doi.org/10.1192/bjp.2024.252","url":null,"abstract":"","PeriodicalId":22495,"journal":{"name":"The British Journal of Psychiatry","volume":"118 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2025-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145381154","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}
BACKGROUNDAntipsychotics are first-line treatments for schizophrenia, yet many patients show inadequate response. Clozapine, the gold standard for treatment-resistant schizophrenia, remains underutilised due to safety and monitoring concerns.AIMSTo evaluate the adverse effects of clozapine in schizophrenia through a meta-analysis of randomised controlled trials (RCTs).METHODWe systematically searched MEDLINE, CENTRAL, Embase, PsycINFO, ClinicalTrials.gov and WHO ICTRP up to 10 October 2024 for RCTs comparing clozapine (as either monotherapy or combination therapy) with other antipsychotics. We assessed 37 distinct adverse outcomes. Risk ratios were calculated for dichotomous outcomes and standardised mean differences for continuous outcomes, with confidence intervals.RESULTSA total of 116 RCTs (n = 8431) were included. In 69 monotherapy RCTs (n = 6281), clozapine showed no difference in either mortality (risk ratio 1.01, 95% CI: 0.50, 2.01, prevalence 0.1%) or discontinuation due to adverse effects (risk ratio 1.18, 95% CI: 0.91, 1.53, prevalence 7.2%). Agranulocytosis risk was nearly tripled (risk ratio 2.81, 95% CI: 0.97, 8.12, prevalence 0.7%), although with wide confidence intervals. Clozapine increased the risk of seizures (risk ratio 3.61, 95% CI: 1.80, 7.95, prevalence 3.1%) and orthostatic hypotension/bradycardia/syncope (risk ratio 1.66, 95% CI: 1.00, 2.77, prevalence 11%). No difference was found for myocarditis/cardiomyopathy (risk ratio 0.33, 95% CI: 0.01, 8.13). Clozapine increased the risk of leukopenia, hypersalivation, sedation, tachycardia, hypertension, constipation, nausea/vomiting, fever, flu-like syndrome and headache. In 47 combination RCTs (n = 2150), clozapine combinations were not associated with increased risk of severe adverse effects; no cases of agranulocytosis (21 RCTs, n = 894) or seizures (8 RCTs, n = 313) were reported in trials that explicitly assessed these outcomes.CONCLUSIONSLife-threatening adverse events remain rare with clozapine. With appropriate monitoring, its safety profile supports broader and potentially earlier use. Future studies should refine monitoring protocols and explore additional indications.
{"title":"Examining the safety profile of clozapine versus other antipsychotics: systematic review and meta-analysis.","authors":"Elisavet Pinioti,Eleni Glarou,Andreas S Lappas,Iwo Fober,Bartosz Helfer,Spyridon Siafis,Nikos Christodoulou,Adriani Nikolakopoulou,Stefan Leucht,Myrto Samara","doi":"10.1192/bjp.2025.10421","DOIUrl":"https://doi.org/10.1192/bjp.2025.10421","url":null,"abstract":"BACKGROUNDAntipsychotics are first-line treatments for schizophrenia, yet many patients show inadequate response. Clozapine, the gold standard for treatment-resistant schizophrenia, remains underutilised due to safety and monitoring concerns.AIMSTo evaluate the adverse effects of clozapine in schizophrenia through a meta-analysis of randomised controlled trials (RCTs).METHODWe systematically searched MEDLINE, CENTRAL, Embase, PsycINFO, ClinicalTrials.gov and WHO ICTRP up to 10 October 2024 for RCTs comparing clozapine (as either monotherapy or combination therapy) with other antipsychotics. We assessed 37 distinct adverse outcomes. Risk ratios were calculated for dichotomous outcomes and standardised mean differences for continuous outcomes, with confidence intervals.RESULTSA total of 116 RCTs (n = 8431) were included. In 69 monotherapy RCTs (n = 6281), clozapine showed no difference in either mortality (risk ratio 1.01, 95% CI: 0.50, 2.01, prevalence 0.1%) or discontinuation due to adverse effects (risk ratio 1.18, 95% CI: 0.91, 1.53, prevalence 7.2%). Agranulocytosis risk was nearly tripled (risk ratio 2.81, 95% CI: 0.97, 8.12, prevalence 0.7%), although with wide confidence intervals. Clozapine increased the risk of seizures (risk ratio 3.61, 95% CI: 1.80, 7.95, prevalence 3.1%) and orthostatic hypotension/bradycardia/syncope (risk ratio 1.66, 95% CI: 1.00, 2.77, prevalence 11%). No difference was found for myocarditis/cardiomyopathy (risk ratio 0.33, 95% CI: 0.01, 8.13). Clozapine increased the risk of leukopenia, hypersalivation, sedation, tachycardia, hypertension, constipation, nausea/vomiting, fever, flu-like syndrome and headache. In 47 combination RCTs (n = 2150), clozapine combinations were not associated with increased risk of severe adverse effects; no cases of agranulocytosis (21 RCTs, n = 894) or seizures (8 RCTs, n = 313) were reported in trials that explicitly assessed these outcomes.CONCLUSIONSLife-threatening adverse events remain rare with clozapine. With appropriate monitoring, its safety profile supports broader and potentially earlier use. Future studies should refine monitoring protocols and explore additional indications.","PeriodicalId":22495,"journal":{"name":"The British Journal of Psychiatry","volume":"28 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2025-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145373637","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}
BACKGROUNDSchizophrenia is a severe psychiatric disorder characterised by positive symptoms, such as hallucinations and delusions, which are linked to dysregulated striatal connectivity. Although traditional models highlight the limbic striatum's role in salience processing, emerging evidence suggests that the associative striatum, critical for cognitive control and habit formation, also plays a significant role. However, the structural connectivity underlying striatal subregions and its relationship to symptom severity and treatment response remains poorly understood.AIMSThis study aimed to investigate the structural connectivity of striatal subregions in first-episode schizophrenia (FE-SCZ) patients and to evaluate its association with positive symptoms and changes following antipsychotic treatment.METHODWe recruited 80 FE-SCZ patients and 80 healthy controls who underwent diffusion tensor imaging probabilistic tractography to assess white matter tract strength between the striatum and ten cortical targets. Longitudinal analysis was conducted in patients at baseline (within 2 weeks of initial antipsychotic exposure) and after ongoing treatment to evaluate changes in connectivity and their relationship to symptom improvement.RESULTSFE-SCZ patients exhibited reduced connectivity between the dorsolateral prefrontal cortex (dlPFC) and associative striatum and increased connectivity between the anterior cingulate cortex (ACC) and associative striatum compared to controls. Longitudinal analysis revealed that antipsychotic treatment increased dlPFC-associative striatum connectivity and decreased ACC-associative striatum connectivity, which correlated with reductions in positive symptom severity.CONCLUSIONSThese findings highlight the critical role of striatal subregions in the pathophysiology of schizophrenia, emphasising the associative striatum's involvement in cognitive control and salience attribution. Changes in striatal connectivity after continued antipsychotic therapy may serve as a biomarker for symptom improvement, advancing our understanding of schizophrenia and guiding future therapeutic strategies.
{"title":"Structural connectivity of striatal subregions in first-episode schizophrenia: links to positive symptoms and treatment response.","authors":"Wenming Liu,Chen Wang,Fan Guo,Min Guo,Runzhu Sun,Kai Yuan,Min Cai,Yuanqiang Zhu","doi":"10.1192/bjp.2025.10434","DOIUrl":"https://doi.org/10.1192/bjp.2025.10434","url":null,"abstract":"BACKGROUNDSchizophrenia is a severe psychiatric disorder characterised by positive symptoms, such as hallucinations and delusions, which are linked to dysregulated striatal connectivity. Although traditional models highlight the limbic striatum's role in salience processing, emerging evidence suggests that the associative striatum, critical for cognitive control and habit formation, also plays a significant role. However, the structural connectivity underlying striatal subregions and its relationship to symptom severity and treatment response remains poorly understood.AIMSThis study aimed to investigate the structural connectivity of striatal subregions in first-episode schizophrenia (FE-SCZ) patients and to evaluate its association with positive symptoms and changes following antipsychotic treatment.METHODWe recruited 80 FE-SCZ patients and 80 healthy controls who underwent diffusion tensor imaging probabilistic tractography to assess white matter tract strength between the striatum and ten cortical targets. Longitudinal analysis was conducted in patients at baseline (within 2 weeks of initial antipsychotic exposure) and after ongoing treatment to evaluate changes in connectivity and their relationship to symptom improvement.RESULTSFE-SCZ patients exhibited reduced connectivity between the dorsolateral prefrontal cortex (dlPFC) and associative striatum and increased connectivity between the anterior cingulate cortex (ACC) and associative striatum compared to controls. Longitudinal analysis revealed that antipsychotic treatment increased dlPFC-associative striatum connectivity and decreased ACC-associative striatum connectivity, which correlated with reductions in positive symptom severity.CONCLUSIONSThese findings highlight the critical role of striatal subregions in the pathophysiology of schizophrenia, emphasising the associative striatum's involvement in cognitive control and salience attribution. Changes in striatal connectivity after continued antipsychotic therapy may serve as a biomarker for symptom improvement, advancing our understanding of schizophrenia and guiding future therapeutic strategies.","PeriodicalId":22495,"journal":{"name":"The British Journal of Psychiatry","volume":"50 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2025-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145351485","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}
Brian Beach,Eun-Jung Shim,Eleonora Iob,Paola Zaninotto
BACKGROUNDVarious key events characterise experiences in later life, such as retirement, bereavement, caregiving, developing long-term conditions and hospital admission. Given their potential to disrupt lives, such events may affect older people's mental health, but research on the associations between such events and depression has produced inconsistent findings.AIMSTo investigate the impact of key events in later life on depression trajectories in a representative cohort of people aged 50-69 in England.METHODOur sample draws on 6890 respondents aged 50-69 in Wave 1 (2002/2003) of the English Longitudinal Study of Ageing, following them through to Wave 9 (2018/2019). We measured depression using the eight-item Center for Epidemiological Studies Depression scale. Later life events included retirement, spouse/partner death, becoming an unpaid caregiver, developing a limiting long-term illness and hospital admissions because of a fall or non-fall causes. Piecewise mixed-effects logistic regression models tested for changes in the trajectories of depression before and after each event.RESULTSStatistically significant improvements in the trajectory of depression were observed following spousal bereavement, one's own retirement and hospital admission because of causes other than falls, with reductions in the odds of depression of 48% (odds ratio: 0.52 (95% CI: 0.44-0.61)), 15% (0.85 (0.78-0.92)) and 4% (0.96 (0.94-0.99)), respectively. No changes were associated with developing a limiting long-term illness, becoming an unpaid caregiver or following spousal retirement or a hospital admission because of a fall.CONCLUSIONSThe findings highlight the relative resilience among older adults in England in terms of depression following key later life events. There is still a role to play in delivering mental health support for older people following such events, particularly by improving the identification of those at risk of certain events as part of a broader strategy of prevention. Findings also underscore the importance of partner/spousal circumstances on individual mental health.
{"title":"Trajectories of depression across key events in later life: findings from the English Longitudinal Study of Ageing.","authors":"Brian Beach,Eun-Jung Shim,Eleonora Iob,Paola Zaninotto","doi":"10.1192/bjp.2025.10426","DOIUrl":"https://doi.org/10.1192/bjp.2025.10426","url":null,"abstract":"BACKGROUNDVarious key events characterise experiences in later life, such as retirement, bereavement, caregiving, developing long-term conditions and hospital admission. Given their potential to disrupt lives, such events may affect older people's mental health, but research on the associations between such events and depression has produced inconsistent findings.AIMSTo investigate the impact of key events in later life on depression trajectories in a representative cohort of people aged 50-69 in England.METHODOur sample draws on 6890 respondents aged 50-69 in Wave 1 (2002/2003) of the English Longitudinal Study of Ageing, following them through to Wave 9 (2018/2019). We measured depression using the eight-item Center for Epidemiological Studies Depression scale. Later life events included retirement, spouse/partner death, becoming an unpaid caregiver, developing a limiting long-term illness and hospital admissions because of a fall or non-fall causes. Piecewise mixed-effects logistic regression models tested for changes in the trajectories of depression before and after each event.RESULTSStatistically significant improvements in the trajectory of depression were observed following spousal bereavement, one's own retirement and hospital admission because of causes other than falls, with reductions in the odds of depression of 48% (odds ratio: 0.52 (95% CI: 0.44-0.61)), 15% (0.85 (0.78-0.92)) and 4% (0.96 (0.94-0.99)), respectively. No changes were associated with developing a limiting long-term illness, becoming an unpaid caregiver or following spousal retirement or a hospital admission because of a fall.CONCLUSIONSThe findings highlight the relative resilience among older adults in England in terms of depression following key later life events. There is still a role to play in delivering mental health support for older people following such events, particularly by improving the identification of those at risk of certain events as part of a broader strategy of prevention. Findings also underscore the importance of partner/spousal circumstances on individual mental health.","PeriodicalId":22495,"journal":{"name":"The British Journal of Psychiatry","volume":"28 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2025-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145351486","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}
Alastair J S McKean,Tanner J Bommersbach,J Michael Bostwick
{"title":"Self-harm in children and young people who die by suicide: UK-wide consecutive case series: commentary, McKean et al.","authors":"Alastair J S McKean,Tanner J Bommersbach,J Michael Bostwick","doi":"10.1192/bjp.2025.10449","DOIUrl":"https://doi.org/10.1192/bjp.2025.10449","url":null,"abstract":"","PeriodicalId":22495,"journal":{"name":"The British Journal of Psychiatry","volume":"15 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2025-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145339070","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}
BACKGROUNDThe association between geriatric depression and out-of-hospital cardiac arrest (OHCA) has not been fully clarified.AIMSThis study aimed to develop and validate a predictive model for OHCA in older patients through a longitudinal, population-based approach.METHODThis study analysed data from the National Health Insurance Research Database for the period 2011-2020, focusing on older patients both diagnosed with depression and treated with antidepressant medications. A multivariate logistic regression model was used to identify potential predictors of OHCA. Considering the effect of COVID-19, data-sets from 2019 and 2020 were used as external validation. The model's performance was evaluated using receiver operating characteristic (ROC) curves and confusion matrix metrics.RESULTSOut of 104 022 geriatric patients with depression, 2479 (2.4%) experienced OHCA. Significant predictors of OHCA included age, male gender, previous utilisation of medical resources, renal failure with haemodialysis, existing comorbidities, medication changes and recent psychotherapy. The ROC values for the predictive models ranged from 0.707 to 0.771 in the 2019 and 2020 external validations for 7-, 30- and 90-day OHCA. For 2019, the 7-day model demonstrated sensitivity, specificity, positive likelihood ratio, negative likelihood ratio and diagnostic odds ratio of 0.600, 0.718, 2.130, 0.560 and 3.840, respectively. For 2020, these metrics for the 7-day model were 0.775, 0.655, 2.250, 0.340 and 6.550, respectively.CONCLUSIONThis study developed and validated a predictive model for OHCA in older patients with depression. The model identified crucial predictors, providing valuable insights for psychiatrists and emergency clinicians to identify high-risk patients and implement early preventive measures.
{"title":"Unveiling the risk: predicting out-of-hospital cardiac arrest in geriatric patients with depression - longitudinal study.","authors":"Chih-Wei Sung,Cheng-Che Chen,Yun-Ting Chih,Cheng-Yi Fan,Edward Pei-Chuan Huang","doi":"10.1192/bjp.2025.10427","DOIUrl":"https://doi.org/10.1192/bjp.2025.10427","url":null,"abstract":"BACKGROUNDThe association between geriatric depression and out-of-hospital cardiac arrest (OHCA) has not been fully clarified.AIMSThis study aimed to develop and validate a predictive model for OHCA in older patients through a longitudinal, population-based approach.METHODThis study analysed data from the National Health Insurance Research Database for the period 2011-2020, focusing on older patients both diagnosed with depression and treated with antidepressant medications. A multivariate logistic regression model was used to identify potential predictors of OHCA. Considering the effect of COVID-19, data-sets from 2019 and 2020 were used as external validation. The model's performance was evaluated using receiver operating characteristic (ROC) curves and confusion matrix metrics.RESULTSOut of 104 022 geriatric patients with depression, 2479 (2.4%) experienced OHCA. Significant predictors of OHCA included age, male gender, previous utilisation of medical resources, renal failure with haemodialysis, existing comorbidities, medication changes and recent psychotherapy. The ROC values for the predictive models ranged from 0.707 to 0.771 in the 2019 and 2020 external validations for 7-, 30- and 90-day OHCA. For 2019, the 7-day model demonstrated sensitivity, specificity, positive likelihood ratio, negative likelihood ratio and diagnostic odds ratio of 0.600, 0.718, 2.130, 0.560 and 3.840, respectively. For 2020, these metrics for the 7-day model were 0.775, 0.655, 2.250, 0.340 and 6.550, respectively.CONCLUSIONThis study developed and validated a predictive model for OHCA in older patients with depression. The model identified crucial predictors, providing valuable insights for psychiatrists and emergency clinicians to identify high-risk patients and implement early preventive measures.","PeriodicalId":22495,"journal":{"name":"The British Journal of Psychiatry","volume":"28 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2025-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145339071","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}
Censoring language in medical science enforces ideological conformity and political repression of marginalised groups through self-censorship. This editorial urges the scientific community to resist language control as a grave threat - not only to research freedom, but ultimately to human diversity and life itself.
{"title":"Contemporary censors at work: targeting medical science to shape social reality.","authors":"Astrid Chevance","doi":"10.1192/bjp.2025.10459","DOIUrl":"https://doi.org/10.1192/bjp.2025.10459","url":null,"abstract":"Censoring language in medical science enforces ideological conformity and political repression of marginalised groups through self-censorship. This editorial urges the scientific community to resist language control as a grave threat - not only to research freedom, but ultimately to human diversity and life itself.","PeriodicalId":22495,"journal":{"name":"The British Journal of Psychiatry","volume":"56 1","pages":"1-3"},"PeriodicalIF":0.0,"publicationDate":"2025-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145338804","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}