Attention-deficit hyperactivity disorder (ADHD) is a neurodevelopmental condition, characterised by traits of inattention, hyperactivity and/or impulsivity. These traits occur across multiple settings and can interfere with day-to-day functioning. 1 ADHD is lifelong and traits persist into adulthood for many people. Reference Sibley, Arnold, Swanson, Hechtman, Kennedy and Owens2 Despite this, ADHD is underdiagnosed in adults, Reference McKechnie, O’Nions, Dunsmuir and Petersen3 particularly in marginalised groups, Reference Abdelnour, Jansen and Gold4 including people of minoritised ethnicities, women and older people. From a young age, children and adolescents with ADHD often face a greater emotional burden than their neurotypical peers, including heightened experiences of social exclusion and harm. Reference Pavlopoulou, Chandler, Lukito, Kakoulidou, Jackson and Ly5 These inequalities frequently continue throughout adulthood, extending across multiple settings. Adults with ADHD are disproportionately affected by social exclusion, Reference Smith and McVeigh6 poorer physical and mental health, Reference French, Nalbant, Wright, Sayal, Daley and Groom7 economic instability (e.g. unemployment, financial insecurity and homelessness) Reference Beauchaine, Ben-David and Bos8,Reference Murillo, Ramos-Olazagasti, Mannuzza, Castellanos and Klein9 and earlier mortality. Reference El Baou, Saunders, Buckman, Dagnan, Mandy and O’Nions10 Intimate partner violence (IPV) is a key public health issue in the UK and worldwide, with serious negative impacts on individuals. Recent statistics of the prevalence of IPV in England and Wales show that 22.9% of women and 9.7% of men report experiencing IPV during their adult lives. 11 IPV is a multidimensional construct that can take many forms, including physical violence, sexual violence, coercive control, economic abuse, harassment and more. 11,12 IPV can have considerable consequences for the individual, including poorer mental and physical health, Reference Coker, Davis, Arias, Desai, Sanderson and Brandt13 as well as lower quality of life. Reference Alsaker, Moen, Morken and Baste14 Meta-analytical evidence indicates that neurodivergent adults and people with disabilities are more susceptible to different types of violence, including sexual violence, compared with their non-disabled counterparts. Reference Hughes, Bellis, Jones, Wood, Bates and Eckley15 A recent review based on a small number of studies suggested there are higher rates of IPV among people with ADHD. Reference Arrondo, Osorio, Magallón, Lopez-del Burgo and Cortese16 However, current understanding of IPV experiences in people with ADHD is limited, because the majority of research (seven out of the nine studies on IPV in the identified review) has focused on ADHD as a risk factor for perpetration of IPV, rather than looking at vulnerability to experiencing IPV (only four studies in the identified review) within this population. This imbalance in focus of previous research may potentially reflect and/or reinforce prevailing negative stereotypes that exist about ADHD. It may also be because ADHD is underresearched in women, who may be more likely to experience IPV. In addition to this, the majority of research on this topic has been cross-sectional and has focused on IPV during adolescence and young adulthood only. Of the studies identified in the review focusing on experiencing IPV, the oldest age group reported was in university students (up to age 21 years). Reference Arrondo, Osorio, Magallón, Lopez-del Burgo and Cortese16 Little is known about how ADHD traits in childhood may be associated with long-term risk of IPV experiences. The studies included in the review also varied in the measurement of IPV, with most focusing on a single domain (e.g. physical or sexual violence). This does not capture the full complexity and multidimensional nature of IPV experiences. It is possible that patterns observed in other forms of neurodivergence (e.g. autism) may apply to ADHD. For example, IPV is alarmingly common among autistic adults, with prevalence estimates up to 70%. Reference Gibbs, Gallagher, Hudson and Pellicano17 Autistic people often report difficulties recognising abusive behaviours at the time they occur, in part due to experiences of masking and a heightened sense of powerlessness within relationships. Reference Pearson, Rose, Mitchell, Joseph, Douglas and Sedgewick18 IPV can also profoundly disrupt autistic people’s sense of self, with participants describing dehumanisation and loss of autonomy. This pattern may also apply to people with ADHD, although this has not yet been systematically tested. This study aimed to test whether childhood ADHD traits are associated with self-reported rates of experiencing IPV by midlife, using data from a large longitudinal birth cohort study.
Method
Data
Data were used from the 1970 British Cohort Study (BCS70), a nationally representative longitudinal study that follows the lives of 17 198 people born during a single week in 1970 across England, Scotland and Wales. Reference Sullivan, Brown, Hamer and Ploubidis19 The cohort has been surveyed repeatedly over more than five decades, collecting extensive information on participants’ demographic, health and lifestyle characteristics. The most recent data collection was completed when participants were aged 51 years. Comprehensive descriptions of the study design and data collection procedures have been published elsewhere. Reference Sullivan, Brown, Hamer and Ploubidis19 The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2013. Ethical approval for the most recent wave of data collection for BCS70 was obtained from the South East Coast – Brighton and Sussex MREC (approval number 15/LO/1446). Written informed consent was obtained from all participants.
Measures
ADHD traits
A set of 14 items reflecting ADHD traits (nine items corresponding to symptoms of hyperactivity, and five5 to symptoms of inattention) was used from data collected when participants were 10 years old. These items originated from behaviour questionnaires completed by parents and teachers. Reference Rutter20,Reference Conners21 Two main indicators of ADHD were derived and validated in previous research that used a data mining framework to map items onto the DSM-5 criteria for ADHD, Reference Cotton and Baker22 and were replicated in this study: (a) a continuous measure of ADHD traits derived using a zero-inflated item response theory mixture model, and (b) a binary variable indicating whether DSM-5 diagnostic criteria for ADHD were met or not (4.40% of the analytic sample met criteria). This approach showed good model fit and strong discriminative validity. The resulting scale showed expected associations with established correlates of ADHD, such as being male, experiencing social disadvantage, and later educational and behavioural difficulties. Reference Cotton and Baker22 To maximise power, the primary predictor used in these analyses was the continuous indicator of ADHD traits. The binary measure was used in analyses estimating predicted probabilities of IPV in high versus not high ADHD trait groups. Full methodological details on the ADHD trait construction are reported elsewhere, Reference Cotton and Baker22 and a user guide is also available from the Centre for Longitudinal Studies. Items included in the measure are presented in Supplementary Materials 1 available at https://doi.org/10.1192/bjp.2026.10720.
IPV
Questions about IPV were asked at age 51 years (list of questions are presented in Supplementary Materials 2). Participants were asked to indicate if they have ever experienced five different forms of IPV (yes or no): harassment, economic abuse, physical violence, threats/coercive control and sexual violence. This multidomain approach to investigating IPV is in line with the framework used in the Crime Survey for England and Wales 11 and recent UK policy definitions outlined in the Domestic Abuse Act 2021. 12 Participants completed these questions as part of a self-completion survey during the interview along with other sensitive topics. In addition to the individual domain measures, a binary measure was derived indicating whether participants reported experiencing any form of IPV, and a sum score was also created indicating the number of different IPV domains each participant reported experiencing (ranging from 0 to 5).
Covariates
Covariates were gender, ethnicity and childhood social class at age 10 years. Gender was coded as male or female. Ethnicity was grouped into ‘White’ or ‘Minoritised ethnic background’. Social class was determined using the occupation of the father at age 10 years, or the mother if the father’s information was unavailable. Occupational classifications followed the Registrar General’s Social Class schema, which includes unskilled, partly skilled, manual, non-manual, managerial/technical and professional roles.
Statistical analyses
Logistic regressions were conducted to test associations between ADHD traits in childhood and the binary measure indicating whether any form of IPV was experienced by age 51 years. Further logistic regressions were used to test associations between childhood ADHD traits and domains of IPV by age 51 years (harassment, economic abuse, physical violence, threats/coercive control or sexual violence). Because of overdispersion, negative binomial regression was used to test associations between ADHD traits and number of IPV domains experienced by age 51 years.
Analyses were run adjusted for gender only (model 1) and adjusted for key covariates (gender, ethnicity and social class at age 10 years) (model 2). Given established differences in IPV patterns and rates of ADHD between men and women, unadjusted models were not presented, as these would yield biased estimates. In addition, all analyses were checked for gender interactions. For the sexual violence domain, the analyses were run on women only, because of very small numbers of men reporting this form of IPV in this sample (n = 10, 0.37% of men in the sample).
Predicted probabilities of experiencing IPV by age 51 years were estimated with the margins command following adjusted logistic regression in Stata, comparing individuals with and without high ADHD traits, using the binary indicator. This analysis was stratified by gender to provide gender-specific estimates.
The sample with missing data was compared with the sample without missing data, using t-tests and χ 2-tests to assess differences in key variables and covariates. All analyses were conducted in Stata v18 on Windows (StataCorp LLC, College Station, Texas, USA; https://www.stata.com).
People with lived experience contributed to this research through (a) feedback from members of a public and patient involvement group of people with ADHD; and (b) inclusion of multiple neurodivergent researchers on the authorship team, including people with ADHD, whose perspectives informed the design and interpretation of this study.
Results
Descriptive statistics and missing data
A total of 5770 people (254 with high ADHD traits, 4.40%) were included in the main analyses. Compared with the sample included in analyses, the sample with missing data on at least one key variable or covariate required for analyses were more likely to be men, of minoritised ethnicity and from lower socioeconomic backgrounds. The sample with missing data were also more likely to have higher ADHD traits and to have experienced economic abuse and sexual violence from an intimate partner, compared with the analytic sample. The samples did not differ on other domains of IPV (harassment, physical violence or threats/coercive control), likely because of the timing of assessment of these variables (Supplementary Table 1). The descriptive statistics for the analytic sample are presented in Table 1.
Descriptive statistics for the analytic sample (N = 5770)

ADHD, attention-deficit hyperactivity disorder.
Rates of reported IPV by gender are reported in Supplementary Table 2. Overall, 740 (24.24%) women and 388 (14.28%) men in this sample reported experiencing IPV by age 51 years.
Associations between childhood ADHD traits and IPV by age 51 years
There was no significant interaction term between the continuous ADHD traits score and gender on IPV as a binary variable (odds ratio 0.96, 95% CI 0.82–1.12, p = 0.61) or count (incidence rate ratio (IRR) = 0.93, 95% CI 0.79–1.09, p = 0.37). Logistic regression showed that ADHD traits in childhood were associated with higher risk of experiencing IPV by age 51 years (model 1: odds ratio 1.25, 95% CI 1.16–1.35, p < 0.001; model 2: odds ratio 1.23, 95% CI 1.13–1.33, p < 0.001) (Table 2). Predicted probabilities from a margins analysis from an adjusted logistic regression model using the binary indicator of ADHD traits showed that in men without high ADHD traits, 13.89% (95% CI 12.58–15.21%) reported experiencing IPV by age 51 years, compared with 19.89% (95% CI 15.21–24.57%) of men with high ADHD traits. In women without high ADHD traits, 23.99% (95% CI 22.47–25.51%) reported experiencing IPV, compared with 32.68% (95% CI 26.10–39.27%) of women with high ADHD traits. This suggests that around one in seven men and one in four women without high ADHD traits experience IPV by midlife. This increases to approximately one in five men and one in three women with high ADHD traits. Negative binomial regression showed that ADHD traits were also associated with a greater number of types of IPV experienced by age 51 years (model 1: IRR = 1.20, 95% CI 1.10–1.30, p < 0.001; model 2: IRR = 1.17, 95% CI 1.07–1.27, p = 0.001) (Table 2).
Associations between attention-deficit hyperactivity disorder traits in childhood and intimate partner violence by midlife

ADHD, attention-deficit hyperactivity disorder; IPV, intimate partner violence; IRR, incidence rate ratio.
Gender-stratified models are presented in Supplementary Table 3.
Associations between childhood ADHD traits and IPV domains by age 51 years
There were no significant gender interactions for any of the IPV domains (harassment: odds ratio 0.90, 95% CI 0.73–1.10, p = 0.28; economic abuse: odds ratio 0.85, 95% CI 0.65–1.10, p = 0.22; physical violence: odds ratio 0.95, 95% CI 0.79–1.14, p = 0.60; threats/coercive control: odds ratio 0.90, 95% CI 0.72–1.12, p = 0.33; sexual violence: odds ratio 1.74, 95% CI 0.79–3.82, p = 0.17). The analyses for sexual violence were restricted to women because of the very small number of men reporting this form of IPV (n = 10, 0.37% of men) compared with women (n = 211, 6.92% of women). ADHD traits in childhood were associated with higher odds of reporting experiences of harassment (model 1: odds ratio 1.16, 95% CI 1.05–1.28, p = 0.003; model 2: odds ratio 1.14, 95% CI 1.03–1.27, p = 0.01), economic abuse (model 1: odds ratio 1.22, 95% CI 1.08–1.38, p = 0.001; model 2: odds ratio 1.17, 95% CI 1.03–1.34, p = 0.02), physical violence (model 1: odds ratio 1.25, 95% CI 1.14–1.36, p < 0.001; model 2: odds ratio 1.23, 95% CI 1.11–1.35, p < 0.001), threats/coercive control (model 1: odds ratio 1.20, 95% CI 1.09–1.32, p < 0.001; model 2: odds ratio 1.16, 95% CI 1.05–1.29, p = 0.005) and sexual violence (model 1: odds ratio 1.26, 95% CI 1.07–1.47, p = .004; model 2: odds ratio 1.22, 95% CI 1.02–1.45, p = 0.03) (Table 3).
Associations between attention-deficit hyperactivity disorder traits in childhood and domains of intimate partner violence by midlife

Table 3 Long description
The table presents data on the associations between attention-deficit hyperactivity disorder traits in childhood and various domains of intimate partner violence by midlife. It includes two models for each domain: harassment, economic abuse, physical violence, threats/coercive control, and sexual violence. The table has 10 rows and 6 columns. Column headers are Harassment, ADHD traits, Gender, Ethnicity, Social class at age 10 years, and Economic abuse. Row labels include ADHD traits, Gender (Male, Female), Ethnicity (White, Minoritised ethnicity), and Social class at age 10 years (Unskilled, Partly skilled, Manual, Non-manual, Managerial and technical, Professional). Values are presented as odds ratios with 95% confidence intervals and p-values. Notable trends include higher odds ratios for females compared to males across all domains and significant associations between ADHD traits and all domains of intimate partner violence.
ADHD, attention-deficit hyperactivity disorder.
Discussion
Summary of findings
This study provides longitudinal evidence showing that prospectively identified childhood ADHD traits are associated with a higher risk of experiencing IPV by midlife in a large population-based birth cohort study. Higher ADHD traits at age 10 years were associated with 23% higher odds of reporting IPV experiences by age 51 years, after adjusting for gender, ethnicity and childhood social class. In addition, ADHD traits were associated with a greater number of different IPV experiences by age 51 years, and with higher odds of reporting all domains of IPV included in this study (harassment, economic abuse, physical violence, threats/coercive control and sexual violence). Effect sizes observed are modest, but meaningful on a population scale. In adults without high ADHD traits, the predicted probabilities of experiencing IPV after adjustment for covariates were around one in seven (14%) for men, and one in four (24%) for women. In adults with high ADHD traits, probabilities increased to approximately one in five (20%) for men, and one in three (33%) for women. Although there were no sex interactions observed in this study, because of the higher prevalence of IPV experiences in women in general, women with ADHD traits are more likely than men with ADHD traits to experience IPV. Findings should be interpreted as relating to dimensional ADHD traits, rather than clinically diagnosed ADHD.
These findings support previous research showing links between ADHD and IPV. Reference Arrondo, Osorio, Magallón, Lopez-del Burgo and Cortese16 They extend this previous research by showing that this association exists beyond adolescence and young adulthood, persisting through to middle age, and by demonstrating this using a large, nationally representative sample and a multidomain measure of IPV. These findings align with evidence on the increased prevalence of IPV in populations who experience social exclusion. Reference Stewart, MacMillan and Kimber23 Findings are also in line with emerging evidence on increased rates of trauma and interpersonal harm in neurodivergent populations, including bullying Reference Sciberras, Ohan and Anderson24 and childhood neglect. Reference Semiz, Öner, Cengiz and Bilici25
The prevalence rates of IPV observed in study appear to be broadly consistent with national estimates for women, but are higher for men in this study. According to the 2024 Crime Survey for England and Wales, 22.9% of women and 9.7% of men reported experiences of IPV at some point in their lives after the age of 16 years. 11 Some research suggests that men may experience IPV at higher rates than commonly reported in these official statistics. For example, one study using data from the 2014 Adult Psychiatric Morbidity Survey reported that 15.3% of men experienced IPV. Reference McManus, Walby, Barbosa, Appleby, Brugha and Bebbington26 This is consistent with rates reported in this study in men (14.28%). Taken together, this suggests that IPV experiences may be underestimated in official statistics, particularly for men. This may be related to the conceptualisation of IPV, the age of participants or underreporting in men.
Interpretation and potential explanations
Findings are based on observational data, and as such, causality cannot be inferred. The observed association may be attributable to a range of underlying mechanisms and broader pathways. Indeed, there are multiple potential explanations for the association between ADHD and experiences of IPV. First, people with ADHD are more likely to experience co-occurring mental health problems, Reference French, Nalbant, Wright, Sayal, Daley and Groom7 often shaped by broader social determinants and systemic disadvantages across the life course. These include financial difficulties, Reference Beauchaine, Ben-David and Bos8 housing instability, Reference Murillo, Ramos-Olazagasti, Mannuzza, Castellanos and Klein9 adverse childhood experiences Reference Semiz, Öner, Cengiz and Bilici25 and substance use, Reference French, Nalbant, Wright, Sayal, Daley and Groom7 all of which are independently associated with increased IPV risk. Beyond these structural risks, people with ADHD may face heightened vulnerability because of social and psychological factors. Differences in impulsivity, emotional regulation and social communication can increase peer rejection and make people more susceptible to harm. Reference Ros and Graziano27 Stigma and stereotypes that frame ADHD traits as laziness or irresponsibility can serve to legitimise mistreatment, and intersecting inequalities further compound risk. Reference Mueller, Fuermaier, Koerts and Tucha28 Repeated experiences of rejection may erode self-esteem and self-advocacy, Reference Cook, Knight, Hume and Qureshi29 and underdiagnosis and limited institutional support leave many adults without adequate safeguards. Reference McKechnie, O’Nions, Dunsmuir and Petersen3,Reference Abdelnour, Jansen and Gold4,Reference Young, Asherson, Lloyd, Absoud, Arif and Colley30
Observed associations may also reflect compounding disadvantages faced by people with ADHD across the life course. These include difficulties or delays in accessing diagnosis, Reference McKechnie, O’Nions, Dunsmuir and Petersen3 limited access to appropriate and tailored services, Reference Asherson, Leaver, Adamou, Arif, Askey and Butler31 challenges with medication access and adherence, Reference Gajria, Lu, Sikirica, Greven, Zhong and Qin32 co-occurring health conditions Reference French, Nalbant, Wright, Sayal, Daley and Groom7 and persistent stigma. Reference Mueller, Fuermaier, Koerts and Tucha28 Together, these factors can reduce the resources available for people with ADHD to protect themselves, seek support or leave harmful relationships. Finally, evidence suggests that people who experience societal exclusion because of disability may be actively targeted by abusive partners, Reference McCarthy, Bates, Triantafyllopoulou, Hunt and Milne Skillman33 a pattern that may also apply to ADHD. Taken together, these intersecting challenges may create conditions of increased vulnerability to IPV among people with ADHD.
Strengths and limitations
A key strength of this study is the use of the BCS70, a large birth cohort, with follow-up data available across more than 50 years. The BCS70 is a nationally representative cohort in England, Scotland and Wales, meaning that results from this study extend the existing literature, which is predominantly based in the USA. In addition to this, IPV was measured with a multidomain approach, which enabled a more comprehensive understanding of how ADHD traits are associated with various IPV experience, compared with studies that only considered one form of IPV (e.g. physical or sexual violence only). Additionally, ADHD was assessed by a trait-based approach, rather than relying on clinical diagnoses. This is a strength, given the underdiagnosis of ADHD in people aged ≥50 years. The full analytic sample was used, rather than a nested case–control design, to maximise statistical power and preserve the population-based structure of the cohort, as well as enabling inclusion of ADHD traits across their full distribution in the population.
The study is also subject to some limitations. For example, there was substantial attrition over the 51-year follow-up period, which may have introduced a selective and biased sample. Specifically, participants retained in analyses were more likely to be women, of White ethnicity and from more advantaged socioeconomic backgrounds, meaning observed associations may not be fully representative of the UK population. Additionally, only a relatively small set of potential covariates were controlled for in these analyses, to avoid inclusion of factors that may lie on the causal pathway. However, it is possible that unmeasured confounding may contribute to observed associations. Next, odds ratios are reported for some analyses, which can overstate strength of associations in cases where the outcomes are common. To help with interpretation, predicted probabilities estimated from model margins are additionally reported.
Another limitation is that although childhood ADHD traits were assessed prospectively according to DSM-5 criteria, they were based on behavioural questionnaires rather than clinical diagnostic interviews, and therefore may not capture all cohort members who would meet criteria for an ADHD diagnosis and also may include people whose symptoms may not have been at clinical levels or may have been better explained by other conditions. Additionally, follow-up data on ADHD traits into adulthood were not available, meaning stability of traits over time in this sample is not known. IPV experiences were reported retrospectively at a single time point only (age 51 years) and included only a binary response option (yes or no). More comprehensive information about IPV (such as the frequency, severity or timing) were not available in these data. This may introduce recall bias and limits understanding of the nuances of IPV experiences, particularly in relation to other life course factors. This should be considered when interpreting findings, particularly in terms of temporal sequencing across the life course. Finally, data were only available about binary gender, rather than gender identity.
Future research
Future research should focus on understanding the mechanisms that underlie observed associations between ADHD and IPV. This may include mental health problems over the life course and trauma histories. Qualitative research would also be valuable to provide richer insights into the experiences of IPV in people with ADHD. Research should aim to use a participatory approach, ensuring people with ADHD are at the heart of the translational research process. Reference Sonuga-Barke, Chandler, Lukito, Kakoulidou, Moore and Cooper34
In addition, understanding protective factors and sources of resilience, such as social support or ADHD-related strengths, is also an important direction for future research. Research could also test how different ADHD diagnostic categories and presentations may be linked to distinct patterns of vulnerability and risk. Finally, future research should also focus on how intersecting identities (e.g. related to gender, ethnicity, sexual orientation or disability) influence the associations between ADHD and IPV. This could help to identify particular subgroups of people with ADHD who may be at a higher risk.
Implications
These findings highlight the importance of recognising long-term outcomes of high ADHD traits beyond childhood and adolescence, particularly related to interpersonal harm. It is important that policy and support (including IPV prevention strategies, public health interventions and support services) take into account the barriers faced by people with ADHD, given the higher rates of IPV experiences in this population. Care should be taken to ensure such services are accessible for people with ADHD. In addition, professionals working across various settings (health, social care and criminal justice) should be appropriately trained to be able to provide accessible and appropriate support for people with ADHD experiencing IPV. Given increasing clinical and legal focus on coercive control, as well as its profound impacts on mental health and well-being, it is important that clinicians are sufficiently equipped to recognise and respond appropriately to less visible forms of IPV, such as coercive control – particularly in people with ADHD, who may be at increased risk.
This study provides longitudinal evidence from a large, prospective cohort to show that ADHD traits in childhood are associated with increased risk of experiencing multiple forms of IPV by midlife. These findings add to a growing body of evidence on the long-term outcomes of ADHD, including vulnerability to interpersonal harm. Addressing the needs of people with ADHD within IPV prevention and response systems is important for reducing harm in this population.
Supplementary material
The supplementary material is available online at https://doi.org/10.1192/bjp.2026.10720
Data availability
Data are available from the UK Data Service. Scripts used to analyse data and any additional research material from this study are available upon request to the corresponding author.
Acknowledgements
The Economic and Social Research Council funds the Centre for Longitudinal Studies (CLS) Resource Centre (ES/W013142/1), which provides core support for the CLS cohort studies. Although the CLS Resource Centre makes these data available, the CLS does not bear any responsibility for the analysis or interpretation of these data by researchers. The CLS cohorts are only possible because of the commitment and enthusiasm of their participants, and their time and contribution is gratefully acknowledged.
Author contributions
A.J. contributed to study conceptualisation, analysis, visualisation, funding acquisition and writing the original draft of the manuscript. E.O., L.C., J.C., W.J.D., H.S., C.E.B., G.R.S., R.D., A.E., R.S., J.W.S., W.M., P.J.A., J.K., G.P. and J.A.-B. contributed to study conceptualisation and reviewing and editing the manuscript. J.S. contributed to study conceptualisation, funding acquisition and reviewing and editing the manuscript.
Funding
This project was supported by the Medical Research Foundation (grant number MRF-RGM-MH-24-114 awarded to A.J.).
Declaration of interest
R.S. is a member of the BJPsych editorial board and did not take part in the review or decision making process of this paper.



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