A large body of evidence points to declining mental health in children and young people aged under 18 years over the past two decades. Reference Newlove-Delgado, Marcheselli, Williams, Mandalia, Dennes and McManus1–Reference Potrebny, Nilsen, Bakken, von Soest, Kvaløy and Samdal3 Recent findings indicate that among young people there is a rising incidence of mental disorders, Reference Momen, Beck, Lousdal, Agerbo, McGrath and Pedersen4 increasing rates of self-harm with a decreasing age at onset, Reference Griffin, McMahon, McNicholas, Corcoran, Perry and Arensman5 as well as a growing trend of probable mental health problems found in repeated cross-sectional surveys. Reference Bor, Dean, Najman and Hayatbakhsh2,Reference Potrebny, Nilsen, Bakken, von Soest, Kvaløy and Samdal3,Reference Collishaw, Maughan, Natarajan and Pickles6,Reference Tick, van der Ende and Verhulst7 The latest Mental Health of Children and Young People survey in England reports that 1 in 5 children and adolescents had a probable mental disorder, Reference Newlove-Delgado, Marcheselli, Williams, Mandalia, Dennes and McManus1 and globally prevalence estimates of any mental health condition typically range from 15 to 25%. Reference Lynch, McDonnell, Leahy, Gavin and McNicholas8–Reference Sacco, Camilleri, Eberhardt, Umla-Runge and Newbury-Birch10 This has been referred to as a youth mental health crisis, which is recognised as one of the greatest challenges of our time. Reference McGorry, Mei, Dalal, Alvarez-Jimenez, Blakemore and Browne11 An increase in mental health problems in the general population would be expected to lead to an increase in presentations to child and adolescent mental health services (CAMHS), and indeed research has shown increasing CAMHS referrals over time. Reference Newlove-Delgado, Marcheselli, Williams, Mandalia, Dennes and McManus1
CAMHS are the specialist services tasked with assessing, diagnosing and treating moderate to severe mental health disorders in young people aged up to 18 years. Despite population research suggesting an increase in youth mental health problems, there has been a lack of research to systematically assess the numbers and proportions of children who attend CAMHS, including how this may be changing over time. This is essential data for mental health surveillance, public health planning and evaluating policy and service effectiveness.
Using linked Welsh administrative healthcare records, we calculated the annual (point) prevalence of having at least one CAMHS contact for each year from 2004 to 2023. We also created a series of sequential birth cohorts of children born between 1991 and 2005 who we followed to age 18 (i.e. between 2009 and 2023) and used this to calculate the total proportion of the youth population who had contact with CAMHS at some stage in their childhood or adolescence, and to track how this has changed over time.
Method
Participants
This study is reported according to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines. Reference von Elm, Altman, Egger, Pocock, Gøtzsche and Vandenbroucke12 Participants were identified from linked data hosted in the Secure Anonymised Information Linkage (SAIL) databank, Reference Ford, Jones, Verplancke, Lyons, John and Brown13–Reference Rodgers, Lyons, Dsilva, Jones, Brooks and Ford17 which contains anonymised, routinely collected data from a variety of Welsh health, social care, and administrative data-sets. The SAIL databank contains information for the whole population of Wales, except for Welsh general practice (GP) data, which contains information for ∼80% of GP practices in Wales, covering ∼83% of the population. SAIL’s Information Governance Review Panel (IGRP) granted approval to conduct this research (IGRP Number 1635). Individuals were included in analyses if they were born between 1991 and 2018 (inclusive), and were registered with a Welsh GP between the ages of 5–17 years (inclusive), with no longer than a 6-months gap in registration, as identified in the Welsh Demographic Service Dataset (WDSD).
Child and adolescent mental health service contacts
The SAIL databank enables linked longitudinal health and social care data across Wales, enabling unique opportunities for population research. Child and adolescent mental health services in Wales are publicly-funded, specialist in-patient and hospital- or community-based out-patient mental health services for youth aged up to 18 years which are free at the point of access. In Wales, CAMHS does not include mental health services offered by private practitioners, primary care providers or school-based counselling/nursing services. CAMHS contacts from the inception of each data-set through to the end of the study period (November 2023) were identified from three data-sets from the SAIL databank: the Patient Episode Database for Wales, containing records of all hospital admissions in Wales (available 1995–study end), the Outpatient Database for Wales, containing records of all hospital out-patient appointments in Wales (available 2004–study end) and the Welsh Longitudinal General Practice Dataset, containing electronic health records from ∼80% of GP practices in Wales, covering ∼83% of the population (available 2000–study end, with start dates for GP records varying for each GP practice, depending on when coded electronic records were implemented). Reference Thayer, Rees, Kennedy, Collins, Harris and Halcox18 In-patient CAMHS contact was defined as either a hospital admission beginning before age 18 years to a psychiatric ward (defined by a specialty code associated with the admission, see Supplementary Table 1 available at https://doi.org/10.1192/bjp.2025.10480), or to any other acute medical ward (e.g. paediatrics, general medicine) when the associated code in the primary (first) diagnostic position was of a mental disorder (any ICD-10 F code). The latter were included given that young people presenting with mental health concerns are commonly admitted to medical rather than psychiatric wards. Reference Ward, Vázquez-Vázquez, Phillips, Settle, Pilvar and Cornaglia19 Out-patient CAMHS contacts were defined as appointments seen under a psychiatry specialty that occurred when the individual was <18 years old (see psychiatry specialty codes in Supplementary Table 1). CAMHS contacts in GP records were identified using Read codes denoting specialist mental health service contact for events that occurred <18 years old (Supplementary Table 1), adapted from Joseph et al Reference Joseph, Jack, Morriss, Knaggs, Butler and Hollis20 and reviewed by a consultant child and adolescent psychiatrist (I.K.) on the study team. These contacts recorded in GP records reflect contact with specialist services that have been recorded by the GP (rather than contact with the GP themselves). CAMHS services in Wales increased their age eligibility from 16 to 18 years in 2011/12. However, to maintain consistency across cohorts, we have examined psychiatry contacts for individuals aged under 18 across all study years. Notably, the later start dates of the out-patient and GP data-sets (2000–2004) mean childhood CAMHS contacts are likely to be under-ascertained for earlier birth cohorts; however, complete adolescent CAMHS data are available for all cohorts (see Supplementary Figs. 1 and 2 for more information on data-set coverage).
Analysis
We calculated the annual prevalence of CAMHS use from January 2004 to November 2023, and the lifetime prevalence of CAMHS use for sequential birth cohorts born from 1991 to 2005. Annual prevalence was calculated as the proportion of the total population aged under 18 years who had a record of at least one CAMHS contact in each calendar year. Lifetime prevalence was calculated as the proportion of all individuals born in each calendar year who had contact with CAMHS at least once at any point in their life until they reached 18 years. We also calculated both lifetime and annual prevalence stratified by age bracket (childhood (0–12 years inclusive) or adolescence (13–17 years inclusive)) and sex (male or female). Linear regression was performed on both annual and lifetime prevalence of CAMHS contact, with year as the predictor variable, and an F-test applied to test the hypothesis of a significant slope. The proportions of males versus females, and children versus adolescents with CAMHS contact in each year/birth cohort were compared using Z-tests.
Structured Query Language (SQL) Db2 version 11.5 for Windows (IBM, New York, NY, USA; see https://www.ibm.com/docs/en/db2) was used to interrogate data in the SAIL databank, and analyses were conducted using R version 4.3.1 for Windows (R Core Team, Vienna, Austria; see https://www.r-project.org/ R: The R Project for Statistical Computing).
Results
Annual prevalence
The proportion of the population who had at least one CAMHS contact in each calendar year ranged from 0.77% in 2004 when n = 4665 had a CAMHS contact, through to 3.88% in 2022 when n = 19 870 had a CAMHS contact (Table 1). The annual prevalence of CAMHS contact consistently increased every year (β = 0.157, p < 0.001, Supplementary Table 2), with the exception of 2020 (the beginning of the COVID-19 pandemic) when there was a small drop in annual prevalence. In 2023, the numbers in contact with CAMHS were also slightly lower due to data only being available for 11 months of the year. The proportion of the total female population under 18 years old in contact with CAMHS was significantly higher compared with males in each calendar year (Supplementary Table 3): the annual prevalence of CAMHS contact peaked at 4.42% for females and at 3.37% for males, both in 2022 (Table 1). There was also a significantly higher proportion of adolescents in contact with CAMHS compared with children in each calendar year (Supplementary Table 3): 7.60% of the adolescent population had a CAMHS contact in 2022 compared with 1.95% of the child population (Fig. 1).
Table 1 Proportion of young people (aged under 18 years) in contact with CAMHS per year (annual point prevalence of CAMHS contact)

CAMHS, child and adolescent mental health services.
a Data available until November 2023.

Fig. 1 Proportion of young people (aged <18 years) in contact with child and adolescent mental health services (CAMHS) per year (annual prevalence), stratified by age group and sex. 2023 data available until November. (a) Children. (b) Adolescent.
There was a higher proportion of the male child population in contact with CAMHS in each year (range: 0.70% (2004)–2.33% (2022)) compared with the female child population (range: 0.30% (2004)–1.55% (2022); Supplementary Table 4 and Fig. 2). Conversely, a higher proportion of the female adolescent population (range: 1.46% (2004)–9.94% (2022)) had a CAMHS contact in each calendar year compared with the male adolescent population (range: 1.30% (2004)–6.24% (2018); Supplementary Table 5 and Fig. 1).

Fig. 2 Proportion of population (stratified by birth year) in contact with child and adolescent mental health services (CAMHS) ever in their lifetime (<18 years). (a) Any CAMHS contact. (b) Adolescent CAMHS contact.
Lifetime prevalence
The proportion of the population that had at least one CAMHS contact ever in their lifetime ranged from 5.80% for individuals born in 1991 through to 20.18% for individuals born in 2005 (the oldest cohort with complete data available up to 18 years; Table 1 and Fig. 1).
The proportion of the population who had contact with CAMHS consistently increased with each successive year of birth (β = 1.090, p < 0.001, Supplementary Table 2). Overall, a significantly higher proportion of females compared with males had a CAMHS contact at any point in their lifetime, for every birth cohort with the exception of 1993 when there was not a significant difference between sexes (Supplementary Table 6). The lifetime prevalence of CAMHS contact for females ranged from 6.36% (1991 birth cohort) to 22.13% (2005 birth cohort), and for males ranged from 5.27% (1991 birth cohort) to 18.32% (2005 birth cohort; Table 2 and Fig. 2).
Table 2 Proportion of young people in contact with CAMHS at any point prior to age 18 years, stratified by birth year (lifetime prevalence of CAMHS contact)

CAMHS, child and adolescent mental health services.
Individuals with missing sex information (n = 16) included in total but not sex-stratified results.
The proportion of the population who had a contact with CAMHS at any point in childhood (i.e. from age 0 to 12 years) ranged from 1.28% in the 1991 birth cohort through to 8.38% in a 2005 birth cohort (Supplementary Table 4). A significantly higher proportion of the population had a CAMHS contact at any point in their adolescence than in childhood (Supplementary Table 6): this ranged from 5.03% for the 1991 birth cohort through to 16.04% for the 2005 birth cohort (Supplementary Table 7).
Discussion
Using healthcare register record linkage in Wales, we assessed both the annual and lifetime prevalence of CAMHS contact among children and adolescents. Over a 12-month period in 2004, 0.8% of the total child and adolescent population had contact with CAMHS, compared with the 12-month period in 2022, where this had risen nearly five-fold to 3.9%. In raw numbers, this reflects an increase from 4665 to 19 870 young people accessing CAMHS per year. In terms of lifetime prevalence (up to age 18 years) of CAMHS contact, among the birth cohort born in 1991 who turned 18 in 2009, 5.8% had attended CAMHS at some stage in childhood or adolescence. For individuals born in 2005 who turned 18 in 2023, however, this figure had risen to 20.2%.
Reliable information on the prevalence of service use is important because there is a distinction between the epidemiological burden of mental disorders in the population and the proportion of the population seeking specialist mental health services. For instance, national survey data from England suggest that only a minority of young people in the general population who would meet criteria for a mental disorder were in contact with CAMHS. Reference Ford, Hamilton, Meltzer and Goodman21
Of note, our data only reflect individuals who attended CAMHS and not the high numbers on waiting lists for services, 22 meaning the true demand for CAMHS is likely to be significantly higher even than the 20% figure in the most recent birth cohort. Research in England suggests that less than half of referrals to CAMHS are accepted. Reference Sayal, Wyatt, Partlett, Ewart, Bhardwaj and Dubicka23 Further, the data reported here only indicate that an individual had at least one contact with CAMHS and they do not necessarily imply that an intervention or treatment was received.
Notably, while our findings pertain specifically to Wales they are likely to be generalisable across the UK given the similar structure of CAMHS provision in all four nations. In fact, the prevalence of CAMHS attendance may be even higher in Scotland, England and Northern Ireland due to their greater service capacity relative to Wales. 24
Rates of CAMHS contacts were significantly higher for adolescents in comparison with children, with as many as 7.6% of adolescents having had one or more CAMHS contact in 2022 (the most recent year for which we have full data). This high rate of adolescent CAMHS attendance likely, in part, reflects the level of risk associated with the types of disorders that are more prevalent in adolescents in comparison with children (e.g. self-harm, eating disorders), increasing the likelihood that these type of referrals are accepted. The data also showed a growing disparity in terms of the numbers of adolescent girls versus boys attending CAMHS. There were only minor differences in the proportions of boys versus girls attending in the early 2000s. In 2022, however, 10% of all adolescent girls had one or more CAMHS contact, compared with 5.4% of boys. The high and increasing prevalence of CAMHS use among adolescent girls, in particular, is consistent with findings that this group has had a rising prevalence of mental health problems (particularly in internalising and eating disorders) over the past three decades. Reference Bor, Dean, Najman and Hayatbakhsh2,Reference Potrebny, Nilsen, Bakken, von Soest, Kvaløy and Samdal3,Reference Collishaw, Maughan, Natarajan and Pickles6,Reference Tick, van der Ende and Verhulst7 On the other hand, the proportion of adolescent boys attending CAMHS peaked in 2018 at 6.2% and has not exceeded this figure since, highlighting important sex differences.
The reasons underlying the increasing prevalence of CAMHS contact are complex and multifaceted, reflecting both factors driving an increasing prevalence of mental disorders in young people and factors that specifically promote mental health service demand. Many researchers have suggested that the COVID-19 pandemic has contributed to an exacerbation of mental health help-seeking among children and adolescents. Reference Deng, Zhou, Hou, Heybati, Lohit and Abbas25,Reference Madigan, Racine, Vaillancourt, Korczak, Hewitt and Pador26 Our findings, however, spanning nearly two decades, place year-on-year increases in a wider context and do not support the idea that the trajectory of increasing presentations to CAMHS can be directly attributed to the pandemic (other than being associated with a decreased number of attendances in 2020). While this does not mean that there were not pandemic-related mental health impacts on some young people, our findings indicate that the increasing trend of CAMHS presentations predates COVID-19, demonstrating the problems inherent in analysing changes over a limited number of years rather than taking into account trends over a longer period of time. Notably, the COVID-19 pandemic is just one of a number of global intensifying crises, such as climate change, war and increasing economic hardship, all of which may also be contributing to trends in youth mental health.
In terms of factors that have specifically contributed to the rise in mental health service demand, it has been proposed that increased awareness around mental health problems, resulting in earlier detection and better identification of mental illness, has led to increased service demand. Reference Wei, McGrath, Hayden and Kutcher27 Mental health awareness efforts may have reduced stigma surrounding mental illness, reducing barriers to help-seeking. Reference Clement, Schauman, Graham, Maggioni, Evans-Lacko and Bezborodovs28 Another factor may be the impact of efforts to improve the accessibility of CAMHS, such as the increasing availability of telehealth services. Reference Boydell, Hodgins, Pignatiello, Teshima, Edwards and Willis29 However, population research has indicated that the prevalence of mental health symptoms are increasing in the adolescent population, Reference Potrebny, Nilsen, Bakken, von Soest, Kvaløy and Samdal3,Reference Collishaw, Maughan, Natarajan and Pickles6,Reference Tick, van der Ende and Verhulst7 along with the severity of these symptoms, Reference Armitage, Newlove-Delgado, Ford, McManus and Collishaw30 suggesting that the observed rise is unlikely to be solely due to improved identification. Further, some researchers have argued that increased mental health awareness may not only be increasing help-seeking behaviour, but could also inadvertently contribute directly to rising mental health problems in teenagers. Reference Foulkes and Andrews31
Our data show a gradual year-on-year increase in adolescent presentations to CAMHS from 2004 to 2010. There was a sharp increase, however, in 2011, with this larger increase in attendances being maintained in 2012, 2013 and 2014. Between 2015 and 2018, attendances continued to grow but with smaller increases in numbers. This was followed by a drop in attendances in 2019 and a further (likely COVID-19 related) drop in attendances in 2020. Attendances increased again in 2022.
One potential contributor to increasing adolescent CAMHS contacts is the impact of austerity and increased income inequality in the UK. Reference Karanikolos, Mladovsky, Cylus, Thomson, Basu and Stuckler32,Reference Ribeiro, Bauer, Andrade, York-Smith, Pan and Pingani33 There is evidence that the incidence of mental disorders rose in several European countries following the 2008 financial crisis. Reference Gili, Roca, Basu, McKee and Stuckler34,Reference Kentikelenis, Karanikolos, Papanicolas, Basu, McKee and Stuckler35 Austerity measures in the UK have resulted in reduced funding to health, education and social services in Wales. Reference Roberts and Charlesworth36 These cuts have likely exacerbated existing inequalities, potentially contributing to negative impacts on young people’s mental health. Reference Brown, Gao and Song37 Our data, however, show that the increasing prevalence of CAMHS attendance pre-dated the 2008 financial crisis, though the trajectory increased more rapidly from 2011. While financial crises are known to have harmful effects on the health of the entire population, the current mental health crisis seems to be disproportionately affecting adolescents, Reference McGorry, Mei, Dalal, Alvarez-Jimenez, Blakemore and Browne11 suggesting there are also likely to be unique, developmentally specific drivers of the rise in presentations for mental ill-health in this age group.
Another consideration might be the proliferation of smartphone use among teenagers, leading to increasing time being spent online, as well as the proliferation of social media engagement – notably, Instagram launched in 2010. The majority of the evidence on the impact of social media exposure on young people’s mental health, however, comes from cross-sectional studies, making it difficult to infer causality, Reference Valkenburg, Meier and Beyens38 and it is likely that relationships are bidirectional. Reference Sanders, Noetel, Parker, Del Pozo Cruz, Biddle and Ronto39 Nonetheless, that the increasing pattern of CAMHS attendance seems to disproportionately affect adolescent girls aligns with recent findings indicating age- and sex-specific windows of sensitivity to the effects of social media use. Reference Orben, Przybylski, Blakemore and Kievit40 It is feasible that there may be sensitive periods during adolescence where young people are particularly vulnerable to the impact of social media on mental health. Another possibility is that the rise in mental health problems is a result of increasing fragmentation of interpersonal and societal connectedness. Reference Wickramaratne, Yangchen, Lepow, Patra, Glicksburg and Talati41 Supporting this, research suggests that young people in more socially connected societies appear to have better mental health. Reference Ougrin, Woodhouse, Tucker, Ronaldson and Bakolis42
It is also notable that, while online activity has increased for adolescents, physical activity has decreased, with girls having lower physical activity levels than boys. Reference Guthold, Stevens, Riley and Bull43 Decreased physical activity may also play a contributory role in declining mental health, though the evidence on the relationship between exercise and mental disorders in adolescents is of low certainty. Reference Rodriguez-Ayllon, Cadenas-Sánchez, Estévez-López, Muñoz, Mora-Gonzalez and Migueles44
The dramatic change, over a relatively short period of time, in the population who had contact with CAMHS raises a number of important clinical questions. To what extent can the CAMHS interventional evidence base, generated from studies that were often conducted decades ago, be applied to current clinical cohorts? That is to say, if the target population has exponentially increased without evidence to support their “equivalence” to the original target population, at what stage does an intervention change from being evidence-based to being experimental?
Re-evaluating the effectiveness of CAMHS interventions is particularly important in the context of a number of studies demonstrating that outcomes for CAMHS cohorts are often poor, both in the short-term Reference Sayal, Wyatt, Partlett, Ewart, Bhardwaj and Dubicka23 and long-term. Reference Healy, Lång, O’Hare, Metsälä, O’Connor and Lockhart45 Sayal et al Reference Sayal, Wyatt, Partlett, Ewart, Bhardwaj and Dubicka23 for example, followed young people attending CAMHS for 12 months and found persistently high levels of self- and parent-reported mental health symptoms, functional impairment and self-harm. Healy et al Reference Healy, Lång, O’Hare, Metsälä, O’Connor and Lockhart45 followed former CAMHS patients to approximately age 30 and found that these individuals went on to take up more than half of all adult mental health service out-patient appointments and more than half of all adult psychiatric in-patient bed days. What’s more, approximately half of severe mental illnesses diagnosed in the population by age 30 occurred in individuals who had attended CAMHS, including 50% of schizophrenia diagnoses, 48% of bipolar disorder diagnoses, 49% of recurrent depression diagnoses and 54% of borderline personality disorder diagnoses.
The rapid changes in numbers in contact with CAMHS highlights the need for real-time access to service use data, as well as the need for a greatly increased research capacity to keep pace with the rapidly increasing service use. Currently, mental health service data in the UK are spread across different data custodians and the processes to access these data are complex and time intensive. Reference Ford, Mansfield, Markham, McManus, John and OReilly46 Data are not routinely collected on the type and severity of difficulties experienced by young people attending CAMHS, nor are data on whether young people who attended CAMHS accessed or benefited from treatment. Further, there is a lack of research infrastructure to carry out this work, including, but not limited to, a paucity of clinical academics working within CAMHS. Reference Kelleher, Poziemska, Kieseppä, Thapar, Dubicka and Lockhart47
Strengths of the study include the use of whole population data captured in prospective administrative data which is free of selection and recall bias. A limitation of the data is that we were only able to include individuals who were enrolled with a GP (representing ∼83% of the Welsh population), and only included those who had continuous GP registration between ages 5 and 18 years. This is likely to disproportionately exclude specific populations, such as refugee populations and those with high residential mobility, both of whom are at increased risk of developing mental health problems. Reference Blackmore, Boyle, Fazel, Ranasinha, Gray and Fitzgerald48,Reference Tseliou, Maguire, Donnelly and Reilly49 Second, complete information on CAMHS contacts was not available until 2004, meaning that complete information on CAMHS use in childhood may not have been available for the older birth cohorts. However, we did have complete adolescent CAMHS contact data for all cohorts and since adolescent contacts comprise ∼70% of all CAMHS attendances, the missing childhood data likely has minimal impact on our lifetime prevalence estimates (evidenced by similar rate increases for any CAMHS contact (3.48-fold) versus adolescent-only contact (3.18-fold)). Private mental health service contact was not captured in the available data. These limitations, however, mean we are likely to have underestimated, rather than overestimated, the prevalence of CAMHS contact. CAMHS contact that occurred in earlier years, however, may have been more likely to be underestimated and this may account for some of the differences identified. Further, data for the 2023 year was incomplete (available from January to November only), which prevents direct comparison of the 2023 data with the other complete calendar years. Lastly, we were not able to assess the duration or frequency of CAMHS contact nor the specific diagnoses or treatment offered. The data only reflect whether an individual ever had contact with CAMHS, which limits our understanding of the actual impact on resources, as we cannot assess the depth or nature of service utilisation in relation to increased contact. Lastly, we acknowledge that there are concerns around the accuracy of medical coding; however, our prevalence estimates align with previous cross-sectional surveys of CAMHS attendance, Reference Signorini, Singh, Boricevic-Marsanic, Dieleman, Dodig-Ćurković and Franic50 suggesting contact with CAMHS has been reasonably accurately coded in our data-sets.
In conclusion, there has been a dramatic increase in the number of young people attending child and adolescent mental health services in Wales over the last two decades. For the earliest-born (1991) cohort, 1 in 17 attended CAMHS in their lifetime but this has now increased to 1 in 5 young people for those born in 2005. The rapid change in numbers in contact with CAMHS raises serious concerns for the state of child mental health in the UK. Failure to treat mental health conditions can lead to poor long-term health, education and social outcomes, highlighting the urgent need to scale-up evidence-based mental health support for young people. The results also raise important questions about the evidence base for existing CAMHS interventions, which are often based on trials conducted decades ago, potentially with very different populations. There is a need to prioritise more intensive research activity within CAMHS to improve our understanding of the factors driving these increases in presentations but also, in the context of a rapidly changing target population, to evaluate the effectiveness of existing CAMHS interventions and to develop new, evidence-based interventions that are fit for purpose.
Supplementary material
The supplementary material is available online at https://doi.org/10.1192/bjp.2025.10480
Data availability
Access to SAIL data is available on application to the SAIL Databank via their usage governance process (www.saildatabank.com). The analytical code and research materials used in this study are not publicly available due to restrictions on exporting materials from the SAIL trusted research environment.
Acknowledgements
This study makes use of anonymised data held in the Secure Anonymised Information Linkage (SAIL) Databank. We would like to acknowledge all the data providers who make anonymised data available for research. The findings and views reported are those of the authors and should not be attributed to SAIL Databank staff.
Author contributions
K.O. performed the statistical analysis and drafted the manuscript. P.C., T.J.F., L.G., A.J., F.M., H.M. and A.T. critically reviewed and revised the manuscript. I.K. supervised the design and coordination of the study, supervised analysis and acquired funding. All authors read and approved the final manuscript.
Funding
This project was funded by awards to I.K. from the Health Research Board (ECSA-2020-005), the Academy of Medical Sciences (APR8\1005) and the UK Department for Business, Energy and Industrial Strategy.
Declaration of interest
None.


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