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Prevalence of suicidal behaviour in adolescents and youth at ultra-high risk for psychosis: A systematic review and meta-analysis

Published online by Cambridge University Press:  03 April 2025

Shi Han Ang*
Affiliation:
Yong Loo Lin School of Medicine, National University of Singapore, Singapore
Siddarth Venkateswaran
Affiliation:
Yong Loo Lin School of Medicine, National University of Singapore, Singapore
Mahir Bakulkumar Goda
Affiliation:
Yong Loo Lin School of Medicine, National University of Singapore, Singapore
Kuhanesan N. C. Naidu
Affiliation:
Department of Psychological Medicine, National University Hospital, Singapore Saw Swee Hock School of Public Health, National University of Singapore, Singapore
Ganesh Kudva Kundadak
Affiliation:
Department of Psychological Medicine, National University Hospital, Singapore Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
Mythily Subramaniam
Affiliation:
Department of Psychological Medicine, National University Hospital, Singapore Research Division, Institute of Mental Health, Singapore Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
*
Corresponding author: Shi Han Ang; Email: [email protected]

Abstract

Background

Suicide remains a major risk factor for individuals suffering from schizophrenia and its prodromal state (i.e., Ultra-High Risk for Psychosis). However, less is known about the prevalence of suicidal behaviour among the adolescent and youth UHR population, a demographic vulnerable to the psychosocial and environmental risk factors of suicide. This review aims to synthesise existing literature on the prevalence of suicidal ideation and behaviour in the adolescent and youth at Ultra-High Risk for Psychosis (UHR), and the associations between suicidal behaviour and its correlates.

Methods

The databases PsycINFO, PubMed, Embase, Cochrane Library, Web of Science, and Scopus were accessed up to July 2024. A meta-analysis of prevalence was subsequently performed for lifetime suicidal ideation, lifetime non-suicidal self-injury, lifetime suicidal attempt, and current suicidal ideation. A narrative review was also carried out for the correlates of suicidal behaviour amongst adolescents and youth in the UHR population.

Results

Studies were included in this meta-analysis. Meta-analysis revealed a high prevalence of lifetime suicidal ideation (58%), lifetime non-suicidal self-injury (37%), lifetime suicidal attempt (25%), and current (2 week) suicidal ideation (56%). The narrative review revealed that a personal transition to psychosis and a positive family history of psychosis were associated with suicidal attempts, while depression was associated with both suicidal attempts and suicidal ideation.

Conclusion

The prevalence of suicidal ideation and behaviour among UHR adolescents and youth is high and comparable to that of the general UHR population. Existing measures that mitigate suicide risk in the general UHR population should be adopted for the youth context.

Type
Review/Meta-analysis
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of European Psychiatric Association

Introduction

It has been established that suicidal behaviour is highly prevalent in individuals with schizophrenia. Compared to the healthy population, people with schizophrenia are at a 4.5-fold increased risk of dying from suicide [Reference Olfson, Stroup, Huang, Wall, Crystal and Gerhard1], with an estimated rates of 5.6% for completed suicide [Reference Jakhar, Beniwal, Bhatia and Deshpande2], 20.3% for suicidal attempts [Reference Álvarez, Guàrdia, González-Rodríguez, Betriu, Palao and Monreal3] and 34.5% for suicidal ideation [Reference Bai, Liu, Jiang, Zhang, Rao and Cheung4]. This risk is further heightened in the early stages of illness, with up to 40% of total suicides associated with schizophrenia occurring during the First Episode of Psychosis (FEP) [Reference Ventriglio, Gentile, Bonfitto, Stella, Mari and Steardo5]. This has given rise to increased clinical focus on individuals experiencing the prodromal stage of psychosis.

Clinicians have characterised this demographic as being at Ultra-High Risk for Psychosis (UHR). UHR individuals are identified by one or more of the following characteristics: (1) Attenuated Psychotic Symptoms (APS); sub-threshold positive psychotic symptoms during the past 12 months; (2) Brief Limited Intermittent Psychotic Symptoms (BLIPS) – frank psychotic symptoms for less than 1 week which resolve spontaneously; and (3) Genetic vulnerability (Trait) – meeting the criteria for Schizotypal Personality Disorder or having a first-degree relative with a psychotic disorder [Reference Yung and McGorry6].

However, there is a lacuna in the current literature surrounding suicidal behaviour among UHR youths. Most papers have focused on suicide in the general UHR population, with a 2014 meta-analysis establishing a lifetime prevalence of 66% for current suicidal ideation, 18% for lifetime suicide attempts, and 49% for lifetime self-harm behaviour [Reference Taylor, Hutton and Wood7]. Yet, youths and adolescents make up most of the UHR population, with only 15% of this demographic aged 25 and above [Reference Fusar-Poli, Borgwardt, Bechdolf, Addington, Riecher-Rössler and Schultze-Lutter8]. Furthermore, youth is an inherent risk factor for suicide in the schizophrenia population, with younger patients experiencing higher rates of suicidal ideation and suicidal attempts than their older counterparts [Reference Olfson, Stroup, Huang, Wall, Crystal and Gerhard9]. This underscores the need for accurate characterisation of suicidal behaviour and ideation among the UHR youth to provide targeted support for this particularly vulnerable demographic.

The primary aim of this study is to synthesise the existing literature on the prevalence of suicidal ideation and behaviour in the adolescent and youth at Ultra-High Risk for Psychosis (UHR) and provide a meta-analysis on the prevalence of suicidal behaviour and self-harm when appropriate. The secondary aims include comparing the prevalence of suicidal behaviour between UHR and Non-UHR Criteria-fulfilling/Healthy Control (HC)/First Episode Psychosis (FEP) population, and systematically reviewing the risk factors and correlates of suicidal behaviour within the UHR adolescent and young adult population.

Methods

Search strategy

This meta-analysis was conducted following the MOOSE (Meta-analyses of Observational Studies in Epidemiology) guidelines [Reference Stroup10]. (Supplementary Appendix 1) The protocol was registered on PROSPERO: CRD42024583255.) The databases PsycINFO, PubMed, Embase, Cochrane Library, Web of Science, and Scopus were searched from inception up to 31 July 2024. Keywords and controlled vocabulary used consisted of: (“Ultra-High Risk” OR “At Risk Mental State” OR “Clinical High Risk”) AND (“Schizophrenia” OR “Psychosis”) AND (“Self-Harm” OR “Suicide” OR “NSSI”) AND (“Adolescent” OR “Youth”). (Supplementary Appendix 2 – Search strategy. Supplementary Appendix 3 – PICO table.) Title/abstract and full-text screening were conducted by three independent reviewers, with any conflicts resolved by a fourth reviewer. Conference abstracts and theses that were identified through systematic searching were also followed up with the original authors for the full text, if available. Hand-searching was also undertaken within eligible articles to identify suitable articles. Fifteen eligible articles were eventually identified and presented in a PRISMA flow chart (Figure 1).

Figure 1. Preferred reporting items for systematic reviews and meta-analyses (PRISMA) flowchart outlining the study selection process.

The inclusion criteria for articles were as follows: studies published in English; participants aged < =25 years; participants classified as UHR according to a validated tool, for example, the Comprehensive Assessment of At-Risk Mental States (CAARMS) [Reference Yung, Yuen, McGorry, Phillips, Kelly and Dell’Olio11], the Structured Interview for Psychosis-Risk Symptoms (SIPS) [Reference Miller, McGlashan, Rosen, Cadenhead, Ventura and McFarlane12], and Prodromal Screen for Psychosis (PROD) [Reference Heinimaa, Salokangas, Plathin M, Huttunen and Ilonen13]; and studies that provided quantitative data on suicidal behaviour and self-harm. Articles that were not written in English, included participants aged over 25, included participants with an established diagnosis of schizophrenia or intellectual disability, history of frank psychotic episodes and extended use of antipsychotics were excluded. The cut-off age of 25 was selected to capture health outcomes of transitional aged youths – a demographic at increased risk of mental illness due to the changes in social roles, peer support, and education that accompany adulthood [Reference Martel14].

In this study, suicidal ideation was defined as the act of thinking about or formulating plans for suicide [Reference Nock, Borges, Bromet, Cha, Kessler and Lee15]. Suicidal attempts were defined as self-injurious behaviour done with at least the partial aim of ending one’s life [Reference Vijayakumar, Phillips, Silverman, Gunnell, Carli, Patel, Chisholm, Dua, Laxminarayan and Medina-Mora16]. Non-suicidal self-injury was defined as the intentional destruction of one’s own body tissue without suicidal intent and for purposes that are not socially sanctioned [Reference Klonsky17]. The term suicidality was defined as the full spectrum of suicidal phenomena, from suicidal ideation to execution [Reference Keefner and Stenvig18]. However, it should be acknowledged that the term “suicidality” is controversial among suicidologists due to its lack of precision [Reference Van Orden, Witte, Cukrowicz, Braithwaite, Selby and Joiner19] and will be used in this review only in the context of specific nomenclature (e.g., CAARMS [Reference Yung, Yuen, McGorry, Phillips, Kelly and Dell’Olio11], SIPS [Reference Miller, McGlashan, Rosen, Cadenhead, Ventura and McFarlane12]). It should also be highlighted that non-suicidal self-injury would not fall under the definition of suicidality [Reference Nock20].

Data extraction

Data extraction commenced on 15 September 2024. Three medical students (A.S.H., S.V., and M.G.) independently undertook data extraction of the predetermined relevant outcomes. Any disagreements between the reviewers were resolved through discussion with a fourth reviewer (G.K.K.), an academic psychiatrist. The authors of one study [Reference Koren, Rothschild-Yakar, Lacoua, Brunstein-Klomek, Zelezniak and Parnas21] were contacted for information regarding their demographic breakdown that was missing in the original article, which was later obtained.

Quality assessment

The methodological quality of the studies included was assessed independently by two authors using the Newcastle-Ottawa Scale (NOS) [Reference Stang22] (Table 1). Studies were considered representative of the exposed cohort if participants were selected from national, state-wide, or regional cohorts. Sufficient follow-up was defined as 6 months or more with an attrition rate of less than 10%. The quality of the articles was classified based on the score obtained into one of the following three and ranked: High (7–9), Medium (5–6), and low (0–5). Among the included studies, 5 were considered high quality, while the remaining 10 studies scored 6 and below. The mean score of the articles was 6.1. However, it should be noted that more than half of the studies were considered cross-sectional and lost a point under the “adequacy of follow-up” criteria due to their study design. Hence, the NOS may underestimate the methodological quality of these studies.

Table 1. Newcastle-Ottawa scale

* indicates met criteria. NA indicates cross-sectional study design.

A key problem in the methodology not measured by the NOS was the measurement of suicidal behaviour and self-harm. Suicidal behaviour and self-harm were often determined with single self-report items such as the Beck Depression Inventory-II (BDI-II) [Reference Beck, Steer and Brown23] or continuous subscales measures of suicidality such as the CAARM [Reference Yung, Yuen, McGorry, Phillips, Kelly and Dell’Olio11] or SIPS [Reference Miller, McGlashan, Rosen, Cadenhead, Ventura and McFarlane12]. These scales were developed as one-off measurements and may provide a limited coverage of suicidal behaviour [Reference Borschmann, Hogg, Phillips and Moran24]. Nonetheless, it should be noted that the BDI-II has been validated as a strong predictor of the likelihood of patients dying by suicide [Reference Green, Brown, Jager-Hyman, Cha, Steer and Beck25]. Another limitation in the methodology of included studies is the lack of blinding of interviewers to the participants’ UHR status. This may have introduced bias where pre-conceived notions of UHR individuals influenced interviewer perception [Reference Hiebert and Nordin26]. Lastly, confounding variables were not consistently applied in studies that analysed correlates of self-harm and suicide. This may lead to biased group comparisons.

Statistical analysis

A meta-analysis of prevalence was used to estimate the pooled prevalence of lifetime suicide attempts, suicidal ideation, and non-suicidal self-injury when three or more studies were available. A random-effects model with inverse variance weighting was applied to account for between-study heterogeneity, with proportions logit-transformed for variance stabilisation and back-transformed for interpretability. Results are presented with 95% Confidence Intervals (CI) and assessed for heterogeneity using the I 2 statistic. Analyses were performed in RStudio Version 2023.09.1, with statistical significance set at p < 0.05. For group comparisons on suicidal behaviour and ideation between UHR and other demographics, the odds ratio was calculated using MedCalc-based population data from the dataset.

Results

Of the 15 studies selected, seven were longitudinal, while eight were cross-sectional. (Table 2) (Supplementary Appendix 4 – full list of studies included) Three studies were conducted in Finland [Reference Granö, Karjalainen, Suominen and Roine27Reference Lindgren, Manninen, Kalska, Mustonen, Laajasalo and Moilanen29], the US [Reference Gill, Quintero, Poe, Moreira, Brucato and Corcoran30Reference Wastler, Cowan, Hamilton, Lundin, Manges and Moe32], the UK [Reference Hutton, Bowe, Parker and Ford33Reference Haining, Karagiorgou, Gajwani, Gross, Gumley and Lawrie35], and Italy [Reference Pelizza, Poletti, Azzali, Paterlini, Garlassi and Scazza36Reference Monducci, Mammarella, Maffucci, Colaiori, Cox and Cesario38] while one study each was conducted in South Korea [Reference Kang, Park, Yang, Oh, Shim and Chung39], Israel [Reference Koren, Rothschild-Yakar, Lacoua, Brunstein-Klomek, Zelezniak and Parnas21], and Australia [Reference Rasmussen, Reich, Lavoie, Li, Hartmann and McHugh40]. The Comprehensive Assessment of At-Risk Mental State assessment tool (CAARMS) [Reference Yung, Yuen, McGorry, Phillips, Kelly and Dell’Olio11] was used most frequently by the studies to evaluate the presence of Ultra-High Risk status in the subjects. Other assessment tools used included the Structured Interview for Prodromal Symptoms (SIPS) [Reference Miller, McGlashan, Rosen, Cadenhead, Ventura and McFarlane41], Structured Interview for Prodromal Symptoms—Version A (SPI-A) [Reference Schultze-Lutter, Ruhrmann, Picker and Klosterkötter42], and the Prodromal Questionnaire [Reference Loewy, Pearson, Vinogradov, Bearden and Cannon43].

Table 2. List of included studies

CAARMS, Comprehensive Assessment of At-Risk Mental State; SIPS, Structure Interview for Psychotic-risk Symptoms; SPI-A, Schizophrenia Proneness Instrument-Adult; BDI-II, Beck’s Depression Index-II, K-SADS, Kiddie Schedule for Affective Disorders and Schizophrenia; MINI, Mini-International Neuropsychiatric Interview.

The results for lifetime suicidal attempts, current (2 week) suicidal ideation, lifetime suicidal ideation, and lifetime non-suicidal self-injury are displayed in figure plots. Sensitivity analyses were used to further explore the role of individual studies in contributing to heterogeneity.

Suicidal attempt

The prevalence of lifetime suicide attempts was 24.84% (95% CI 18.6–32.4, N = 525, I 2 = 52.8%, p = 0.02), with moderate heterogeneity. (Figure 2.) For past suicidal attempts, one study reported a prevalence of 2.3% (n = 3/130) within the past 1 month [Reference Haining, Karagiorgou, Gajwani, Gross, Gumley and Lawrie35]. Two studies reported longitudinal data on new suicide attempts from the follow-up period. Pelizza et al. [Reference Pelizza, Poletti, Azzali, Paterlini, Garlassi and Scazza36] reported that 6.25% (n = 2/32) and 10.5% (n = 2/19) of their cohort had attempted suicide at the 1-year and 2-year follow-up point [Reference Pelizza, Poletti, Azzali, Paterlini, Garlassi and Scazza36]. Pelizza et al. [Reference Pelizza, Leuci, Quattrone, Azzali, Pupo and Paulillo37] reported that 7.3% (n = 12/164) and 7.9% (n = 13/164) of their sample attempted suicide at the 1-year and 2-year follow-up period [Reference Pelizza, Leuci, Quattrone, Azzali, Pupo and Paulillo37]. However, this figure may be over-represented as some members of the original cohort were unable to be reassessed at the 1- or 2-year mark, as they had withdrawn from the study or were lost to follow-up.

Figure 2. Lifetime suicidal attempt.

Current suicidal ideation (2 weeks)

Recent (2 week) suicidal ideation had a prevalence of 57.75% (95% CI 41.70–72.31, n = 58, I 2 = 80%, p = <0.01), with significant heterogeneity. (Figure 3) All studies in the meta-analysis dichotomized the presence and absence of suicidal ideation using the Beck Depression Inventory (BDI-II). The degree of heterogeneity is attributable to the low prevalence reported in Granö et al. [Reference Granö, Karjalainen, Suominen and Roine27] (43.18%, n = 44) and Wastler et al. [Reference Wastler, Cowan, Hamilton, Lundin, Manges and Moe32] (24.00%, n = 25). Removal of the following studies resulted in a larger prevalence estimate of 68.43% (95% CI 61.38–74.73) with minor levels of heterogeneity (I = 9.2%, p = 0.35).

Figure 3. Current suicidal ideation (2 weeks).

For the prevalence of SI in the past 1 month, Haining et al. [Reference Haining, Karagiorgou, Gajwani, Gross, Gumley and Lawrie35] reported the prevalence at 34.6% (n = 45/130) [Reference Haining, Karagiorgou, Gajwani, Gross, Gumley and Lawrie35]. Gill et al. [Reference Gill, Quintero, Poe, Moreira, Brucato and Corcoran30] reported the prevalence of suicidal ideation for the past 6 months at 42.9% (n = 18/42) [Reference Gill, Quintero, Poe, Moreira, Brucato and Corcoran30].

Suicidal ideation (lifetime)

The meta-analysis of lifetime suicidal ideation indicated a prevalence of 56.34% (95% CI 42.0–72.0, n = 164, I 2 = 61%, p = 0.04) with moderate heterogeneity. (Figure 4) The degree of heterogeneity is attributable to the high rates of NSSI reported in Gill et al. [Reference Gill, Quintero, Poe, Moreira, Brucato and Corcoran30] (76.77%, n = 30) [Reference Gill, Quintero, Poe, Moreira, Brucato and Corcoran30]. Excluding this study gave a slightly lower prevalence of 50.49% (95% CI 41.97–58.99) but with lower heterogeneity (I 2 = 22%, p = 0.28).

Figure 4. Lifetime suicidal ideation.

Non-suicidal self-injury

The meta-analysis of non-suicidal self-injury indicated a prevalence of 37.49% (CI 95% 26.47–49.98, n = 214, I 2 = 60%, p = 0.060), with moderate heterogeneity. (Figure 5) The degree of heterogeneity is attributable to the high rates of NSSI reported in Rasmussen et al. [Reference Rasmussen, Reich, Lavoie, Li, Hartmann and McHugh40] (52.6%, n = 38), whereas the prevalence reported in the other three studies ranges from 28.5 to 38.2%. The removal of this study reduced heterogeneity to non-significant levels (I 2 = 0) and led to a smaller prevalence estimate of 30.79% (CI 95% 24.39–38.03, p = 0.54).

Figure 5. Lifetime non-suicidal self injury.

For the prevalence of current NSSI (one-month), one study reported it at 5.38% (n = 7/130) [Reference Haining, Karagiorgou, Gajwani, Gross, Gumley and Lawrie35].

CAARMS/MINI suicidality severity

One study reported continuous mean data for the CAARMS severity scoring, a seven-point scale that reflects the intensity of suicidal thinking and self-harm behaviour. Pelizza et al. [Reference Pelizza, Poletti, Azzali, Paterlini, Garlassi and Scazza36] reported an average CAARMS suicidality score of 1.83 (95% CI 0.02–3.64) in its population, with 50% (n = 20/40) reporting a score of > = 2 [Reference Pelizza, Poletti, Azzali, Paterlini, Garlassi and Scazza36]. A score of 2 on the CAARMS corresponds to occasional thoughts of self-harm without active suicidal ideation plans [Reference Yung, Yuen, Phillips, Francey and McGorry44]. This apparent inconsistency with the high prevalence of suicidal ideation reflected by the BDI-II questionnaire (68.0%, n = 27/40) in the same study could be attributed to the interview mode of administration for CAARMS, which might discourage explicit disclosure of suicidal thoughts to the interviewer [Reference Kaplan, Asnis, Sanderson, Keswani, de Lecuona and Joseph45].

Another study reported data on the Mini Neuropsychiatric Interview (MINI) Suicidality Subscale [Reference Haining, Karagiorgou, Gajwani, Gross, Gumley and Lawrie35]. The MINI Suicidality Subscale categorizes respondents as low, moderate, or high suicidal risk based on six questions relating to recent suicidal ideation, suicidal planning, suicidal attempts, and lifetime suicidal attempts [Reference Roaldset, Linaker and Bjørkly46]. 21.5% (n = 28/130) were classified as low MINI Suicidality risk, while 16.2% (n = 21/130) were each classified as moderate and high MINI Suicidality risk. Considering the study’s significant prevalence of past suicidal attempts (29.2%), non-suicidal self-injury (28.5%), and past 1-month suicidal ideation (34.6%), the MINI Suicidality Subscale accurately reflects the high level of suicidality in the studied population.

Group comparison

Ten studies established comparisons between UHR and other groups (e.g., Non-UHR-Criteria-fulfilling patients, first-episode psychosis, depressive disorders, psychotic disorders, other psychiatric conditions, and healthy control). The large degree of variance by outcome and comparison groups did not allow for a meta-analysis of the results. The results of these comparisons are provided in Table 3.

Table 3. Comparison between UHR and other groups

Significance = p < 0.05, odds ratio (OR) and associated 95% confidence interval calculated from study data for purposes of review. Bolded indicates significant finding.

SI , suicidal ideation; SA , suicide attempt; NSSI , non-suicidal self-injury; HC , healthy control; FEP , first episode psychosis.

a Few cases were present, interpret test and odds ratio with caution.

b Psychiatric comorbid includes mood disorder, anxiety disorder, drug abuse/dependence, alcohol abuse/depending, and eating disorder.

Lifetime suicidal attempts, suicidal ideation, and non-suicidal self-injury were more prevalent among the UHR population compared to healthy controls. Apart from one study [Reference Lindgren, Manninen, Kalska, Mustonen, Laajasalo and Moilanen29], current (2 week) suicidal ideation was also higher in UHR groups compared to Non-UHR-Criteria fulfilling groups. Suicidal attempts, suicidal ideation, and non-suicidal self-injury were generally lower in the UHR population compared to the FEP group. There was no significant difference in suicidal behaviour between UHR and groups with Depressive Disorders or Psychotic Disorders.

Predictors of suicidal behaviour

Demographics

Two studies reported longitudinal data associating demographic variables and suicide. Pelizza et al. [Reference Pelizza, Leuci, Quattrone, Azzali, Pupo and Paulillo37] reported a higher prevalence of new suicide attempts in an ethnic (non-Caucasian) population during a 2-year follow-up period, with no associations between gender, age, and education [Reference Pelizza, Leuci, Quattrone, Azzali, Pupo and Paulillo37]. Girls with UHR status were more likely to be at risk of current suicidal ideation than boys (p = 0.008), but this relationship did not hold for lifetime suicidal ideation [Reference Lindgren, Manninen, Kalska, Mustonen, Laajasalo and Moilanen29].

Family history of psychosis

Two studies reported a longitudinal relationship between a family history of psychosis and future suicidal attempts. Having at least one first-degree relative with psychosis was a risk factor for a new suicidal attempt within a 2-year follow-up period (HR = 9.834, p < 0.01) [Reference Pelizza, Leuci, Quattrone, Azzali, Pupo and Paulillo37]. Lingrend et al. [Reference Lindgren, Manninen, Kalska, Mustonen, Laajasalo and Moilanen29] reported that a family history of psychosis was also a risk factor for future NSSI in a nine-year follow-up period [Reference Lindgren, Manninen, Kalska, Mustonen, Laajasalo and Moilanen29].

Previous suicide attempts

Haining et al. (2020) reported a positive cross-sectional relationship between previous suicide attempts and lifetime suicidal ideation (OR = 2.701, p = 0.040) [Reference Haining, Karagiorgou, Gajwani, Gross, Gumley and Lawrie35]. Pelizza et al. [Reference Pelizza, Leuci, Quattrone, Azzali, Pupo and Paulillo37] reported that new longitudinal suicide attempts were associated with a past suicidal attempt (HR = 7.918, p = 0.026) [Reference Pelizza, Leuci, Quattrone, Azzali, Pupo and Paulillo37].

Transition to psychosis

Two studies reported a longitudinal relationship between eventual transition to psychosis and suicidal behaviour. One study reported that eventual psychosis transition in a 2-year follow-up period strongly predicted a new suicidal attempt (HR = 3.919, p = 0.017) [Reference Pelizza, Leuci, Quattrone, Azzali, Pupo and Paulillo37]. Similarly, psychosis transition within a 9-year follow-up period was associated with new NSSI (Fisher’s exact test p = 0.08) [Reference Lindgren, Manninen, Kalska, Mustonen, Laajasalo and Moilanen29].

Psychiatric comorbidity

Psychiatric comorbidity was typically associated with greater suicidal behaviour. Both current and lifetime suicidal ideation were associated with depression (p < 0.001, [Reference Pelizza, Poletti, Azzali, Paterlini, Garlassi and Scazza36]) and non-psychotic mood disorders at baseline (p = 0.002 and p < 0.001 respectively; [Reference Lindgren, Manninen, Kalska, Mustonen, Laajasalo and Moilanen29]). Dysphoric mood (as assessed by SIPS) was also significantly associated with the severity of suicidal ideation. (r = 0.52, p = 0.001; [Reference D’Angelo, Lincoln, Morelli, Graber, Tembulkar and Gonzalez-Heydrich31]). Substance usage was found to be related to lifetime suicidal behaviour (Mann–Whitney U = 3,387.5, p = 0.007; [Reference Lindgren, Manninen, Kalska, Mustonen, Laajasalo and Moilanen29]). Co-morbid Axis 1 disorders were also found to be associated with current suicidal ideation in one study (OR = 1.631, p = 0.014; [Reference Haining, Karagiorgou, Gajwani, Gross, Gumley and Lawrie35]); however, details of the specific illnesses investigated were not reported. Anxiety disorder and eating disorder at baseline did not offer predictive value for suicidal behaviour [Reference Lindgren, Manninen, Kalska, Mustonen, Laajasalo and Moilanen29].

Certain features of psychosis also exhibited strong associations with suicidal behaviour. Negative symptoms exhibited strong associations with current suicidal ideation (r = 0.49, p = 0.002; Gill et al., 2015) [Reference Gill, Quintero, Poe, Moreira, Brucato and Corcoran30], with one study [Reference Lindgren, Manninen, Kalska, Mustonen, Laajasalo and Moilanen29] specifically identifying avolition (r = 0.42, p < 0.001; [Reference Lindgren, Manninen, Kalska, Mustonen, Laajasalo and Moilanen29]) and decreased expression of emotion (r = 0.31, p < 0.001; [Reference Lindgren, Manninen, Kalska, Mustonen, Laajasalo and Moilanen29]) as predictive factors (as measured by SIPS). Basic Self-Disturbance exhibited a strong association with past suicidal attempts [Reference Koren, Rothschild-Yakar, Lacoua, Brunstein-Klomek, Zelezniak and Parnas21]. Studies employing continuous subscale measures for UHR psychosis also reported correlations between Huber Basic Symptoms (as measured by CAARMS) and the severity of current suicidal ideation [Reference Pelizza, Poletti, Azzali, Paterlini, Garlassi and Scazza36]. The “Odd Behaviour/Appearance” subscale of SIPS was also found to be predictive of the severity of lifetime suicidal ideation. (r = 0.45, p = 0.005; [Reference D’Angelo, Lincoln, Morelli, Graber, Tembulkar and Gonzalez-Heydrich31]). No association was found between Positive Symptoms and current suicidal ideation [Reference Pelizza, Poletti, Azzali, Paterlini, Garlassi and Scazza36].

Functioning

Functional impairment refers to the overall social and occupational impairment caused by psychiatric illness [Reference Pedersen, Urnes, Hummelen, Wilberg and Kvarstein47]. Functional impairment exhibited strong cross-sectional and longitudinal associations with suicidal behaviour and ideation. Current suicidal ideation was predicted by functional impairment, as measured by decreased Global Assessment Functioning (GAF) (r = 0.48, p = 0.002; [Reference Gill, Quintero, Poe, Moreira, Brucato and Corcoran30]) (r = 0.53, p = 0.001; [Reference D’Angelo, Lincoln, Morelli, Graber, Tembulkar and Gonzalez-Heydrich31]) and Global Functioning: Social (GF: Social) scores [Reference Haining, Karagiorgou, Gajwani, Gross, Gumley and Lawrie35]. New suicidal attempts during a 2-year follow-up period were also predicted by longitudinal functional impairment as measured by CAARMS (HR = 1.70, p = 0.02; [Reference Pelizza, Leuci, Quattrone, Azzali, Pupo and Paulillo37]) School bullying was not found to be a significant predictive factor for suicidal behaviour [Reference Lindgren, Manninen, Kalska, Mustonen, Laajasalo and Moilanen29].

CAARMS severity

Lower CAARMS severity was found to be marginally associated with reduced current suicidal ideation (OR = 0.971, p = 0.043; [Reference Haining, Karagiorgou, Gajwani, Gross, Gumley and Lawrie35]). There was no similar data available for the other validated tools used for UHR Psychosis such as SIPS [Reference Miller, McGlashan, Rosen, Cadenhead, Ventura and McFarlane12], PROD [Reference Monducci, Mammarella, Maffucci, Colaiori, Cox and Cesario38], or K-SADS [Reference Kaufman, Birmaher and Brent48].

Discussion

The results of this novel meta-analysis suggested that suicidal behaviour was highly prevalent in the UHR youth and adolescent population, particularly with regards to lifetime and current suicidal ideation. Over half of UHR youth reported lifetime (56.34%) and current (57.75%) suicidal ideation, with a quarter (25.00%) reporting a lifetime suicide attempt. A previous meta-analysis on suicidal behaviour in the adult UHR population suggested similar rates of suicidal behaviour (66% prevalence for current suicidal ideation, 18% for lifetime suicide attempts) [Reference Taylor, Hutton and Wood7].

Group comparisons between UHR, healthy controls, and First Episode of Psychosis (FEP) groups in this meta-analysis revealed greater lifetime suicidal attempts and suicidal ideation in UHR youth than healthy controls. However, suicidal attempts, suicidal ideation, and non-suicidal self-injury were generally higher in the FEP population than the UHR population. The greater prevalence may be attributed to the difference in psychotic experiences experienced by both demographics. Current literature reflects that both UHR and FEP youth may experience similar levels of impaired social functioning [Reference Popolo, Vinci and Balbi49] and cognitive dysfunction (e.g., worsening academic performance) [Reference Roy, Rousseau, Fortier and Mottard50]. However, the UHR population may be shielded from some of the challenges associated with the first episode of psychosis, including heightened psychotic symptoms [Reference Larson, Walker and Compton51], distressing interventions such as involuntary hospitalisation [Reference Strauss, Zervakis, Stechuchak, Olsen, Swanson and Swartz52] and associated stigma [Reference Oexle, Waldmann, Staiger, Xu and Rüsch53]. Nonetheless, suicidal behaviour remains a major adverse outcome for UHR youth and should be adequately addressed during intervention.

The risk factors for suicidal behaviour identified in this study mirrors prior findings in the schizophrenia-spectrum disorder population. Co-morbid depression and poor functioning were found to be risk factors in the FEP youth population [Reference Toll, Pechuan, Bergé, Legido, Martínez-Sadurni and Abidi54]. Negative symptoms (e.g., anhedonia) were found to be suicidal risk factors in both UHR and the schizophrenia population [Reference Grigoriou and Upthegrove55, Reference Poletti, Pelizza and Loas56]. Prior suicidal attempts, as a risk factor for new suicidal attempts, was also supported by findings in the FEP youth [Reference Moe, Llamocca, Wastler, Steelesmith, Brock and Bridge57, Reference Pelizza, Lisi, Leuci, Quattrone, Palmisano and Pellegrini58] and general schizophrenia [Reference Cassidy, Yang, Kapczinski and Passos59] population. This highlights the importance of identifying and treating co-morbidities that drive up the risk of suicide in all stages of psychotic disorders – including UHR, first episode of psychosis, or schizophrenia.

There are certain limitations in this review. Precise definitions for non-suicidal self-injury were not consistently provided by the included studies. This could have led to variances in behaviours that were considered as self-harm between the different studies. These studies could have benefited from utilising standardised nomenclature for defining self-harm [Reference Goodfellow, Kõlves and de Leo60]. Secondly, studies included in the meta-analysis for current suicidal ideation were limited due to variances in instrumental measurement. The meta-analysis only includes studies that used the BDI-II to assess for current suicidal ideation. This resulted in the exclusion of certain studies that utilised other instruments (e.g., BDI-I [Reference Lasa, Ayuso-Mateos, Vázquez-Barquero, Dı́ez-Manrique and Dowrick61], C-SSRS [Reference Bjureberg, Dahlin, Carlborg, Edberg, Haglund and Runeson62]). Additionally, studies were too few to allow for systematic exploration of heterogeneity (e.g., publication bias, meta-regression). Nonetheless, heterogeneity was addressed via the random effects model during analysis. The total number of participants for the analyses was also sufficiently large, such that prevalence rates remained high even with the removal of outlier studies. Lastly, language barriers of reviewers also prevented the inclusion of non-English language articles. This may have hindered the generalisability of results in an international context.

In summary, this study demonstrates a concerning level of suicidal behaviour within the UHR youth population, which necessitates a paradigm shift in the treatment of UHR youth. To date, early intervention programmes for UHR youth feature a mix of psychological therapy, pharmacotherapy, family intervention, and social intervention [Reference Williams, Ostinelli, Agorinya, Minichino, De Crescenzo and Maughan63]. with the overarching goal of reducing the risk of transition to psychosis [Reference Mei, van der Gaag, Nelson, Smit, Yuen and Berger64]. Future emphasis should also be placed on reducing suicidal ideation in this group. Potential psychological treatment methods include Dialectical Behavioural Therapy, which has demonstrated efficacy in reducing adolescent self-harm and suicidal ideation [Reference Kothgassner, Goreis, Robinson, Huscsava, Schmahl and Plener65]. Increasing the frequency of outpatient follow-up for UHR youth may also reduce suicidal ideation [Reference Ee, Gwon and Kim66]. Recognising the psychological pain – defined as intense feelings of shame, distress and hopeless – associated with UHR psychotic experiences is also important, given its strong predictor of suicidal behaviour [Reference Pompili67].

In addition to addressing suicidal behaviour, mental health professionals should also address co-morbidities that increase suicidal risk, such as depression and substance use [Reference Brådvik68]. Lastly, clinicians working with youths who present with self-harm injuries (e.g., Paediatricians, Emergency Physicians) may also benefit from greater familiarity with the UHR criteria. This allows for early specialist referral and prevents transition to frank psychosis.

Supplementary material

The supplementary material for this article can be found at http://doi.org/10.1192/j.eurpsy.2025.2444.

Data availability statement

The data that support the findings of this study are available from the corresponding author, A.S.H., upon reasonable request.

Acknowledgments

The authors thank Lim Siu Chen of the National University of Singapore Libraries for providing support with search strategy formulation. The authors affirm that the manuscript is an honest, accurate, and transparent account of the studies being reported; that no important aspects of the studies have been omitted; and that any discrepancies from the studies as planned (and, if relevant, registered) have been explained.

Author contributions

A.S.H., V.S., and M.G. contributed to the formulation of the research question, formulation, execution, and coding of the search strategy, data analysis, and writing of the manuscript. K.N. contributed to data analysis and writing of the manuscript. M.S. and G.K.K. contributed to the formulation of the research question, data analysis, and writing of the manuscript.

Financial support

This research received no specific grant from any funding agency, commercial or not-for-profit sectors.

Competing interests

The authors declare none.

References

Olfson, M, Stroup, TS, Huang, C, Wall, MM, Crystal, S, Gerhard, T. Suicide risk in medicare patients with schizophrenia across the life span. JAMA Psychiatry. 2021; 78(8):876–85.Google Scholar
Jakhar, K, Beniwal, RP, Bhatia, T, Deshpande, SN. Self-harm and suicide attempts in Schizophrenia. Asian Journal of Psychiatry. 2017;30:102–6.Google Scholar
Álvarez, A, Guàrdia, A, González-Rodríguez, A, Betriu, M, Palao, D, Monreal, JA, et al. A systematic review and meta-analysis of suicidality in psychotic disorders: stratified analyses by psychotic subtypes, clinical setting and geographical region. 2022;143:104964–4.Google Scholar
Bai, W, Liu, ZH, Jiang, YY, Zhang, QE, Rao, WW, Cheung, T, et al. Worldwide prevalence of suicidal ideation and suicide plan among people with schizophrenia: a meta-analysis and systematic review of epidemiological surveys. Transl Psychiatry. 2021;11(1):552.Google Scholar
Ventriglio, A, Gentile, A, Bonfitto, I, Stella, E, Mari, M, Steardo, L, et al. Suicide in the early stage of schizophrenia. Front Psychiatry. 2016;7.Google Scholar
Yung, AR, McGorry, PD. The prodromal phase of first-episode psychosis: past and current conceptualizations. Schizophr Bull. 1996;22(2):353–70.Google Scholar
Taylor, PJ, Hutton, P, Wood, L. Are people at risk of psychosis also at risk of suicide and self-harm? A systematic review and meta-analysis. Psychol Med. 2014;45(05):911–26.Google Scholar
Fusar-Poli, P, Borgwardt, S, Bechdolf, A, Addington, J, Riecher-Rössler, A, Schultze-Lutter, F, et al. The psychosis high-risk state. JAMA Psychiatry. 2013;70(1):107–20.Google Scholar
Olfson, M, Stroup, TS, Huang, C, Wall, MM, Crystal, S, Gerhard, T. Suicide risk in medicare patients with schizophrenia across the life span. JAMA Psychiatry. 2021;78(8):876–85.Google Scholar
Stroup, DF. Meta-analysis of observational studies in epidemiology: a proposal for reporting. JAMA. 2000;283(15):2008.Google Scholar
Yung, AR, Yuen, HP, McGorry, PD, Phillips, LJ, Kelly, D, Dell’Olio, M, et al. Mapping the onset of psychosis: the comprehensive assessment of at-risk mental states. Aust N Z J Psychiatry. 2005;39(11–12):964–71.Google Scholar
Miller, TJ, McGlashan, TH, Rosen, JL, Cadenhead, K, Ventura, J, McFarlane, W, et al. Prodromal assessment with the view for prodromal syndromes and the scale of prodromal symptoms: predictive validity, interrater reliability, and training to reliability. Schizophr Bull. 2003;29(4):703–15.Google Scholar
Heinimaa, M, Salokangas, RKR, Plathin M, M., Huttunen, J, Ilonen, T, et al. PROD-screen – a screen for prodromal symptoms of psychosis. Int J Methods Psychiatr Res. 2003;12(2):92104.Google Scholar
Martel, A. Transition-age youth: who are they? What are their unique developmental needs? How can mental health practitioners support them? Springer eBooks. 2021 Jan 1;342.Google Scholar
Nock, MK, Borges, G, Bromet, EJ, Cha, CB, Kessler, RC, Lee, S. Suicide and suicidal behavior. Epidemiol Rev. 2008;30(1):133–54.Google Scholar
Vijayakumar, L, Phillips, MR, Silverman, MM, Gunnell, D, Carli, V. Suicide. Patel, V, Chisholm, D, Dua, T, Laxminarayan, R, Medina-Mora, ME, editors. PubMed. Washington (DC): The International Bank for Reconstruction and Development / The World Bank; 2016.Google Scholar
Klonsky, ED. The functions of deliberate self-injury: a review of the evidence. Clin Psychol Rev. 2007;27(2):226–39.Google Scholar
Keefner, TP, Stenvig, T. Suicidality: an evolutionary concept analysis. Issues Ment Health Nurs. 2020;42(3):227–38.Google Scholar
Van Orden, KA, Witte, TK, Cukrowicz, KC, Braithwaite, SR, Selby, EA, Joiner, TE. The interpersonal theory of suicide. Psychol Rev. 2010;117(2):575600.Google Scholar
Nock, MK. Self-Injury. Annu Rev Clin Psychol. 2010;6(1):339363.Google Scholar
Koren, D, Rothschild-Yakar, L, Lacoua, L, Brunstein-Klomek, A, Zelezniak, A, Parnas, J, et al. Attenuated psychosis and basic self-disturbance as risk factors for depression and suicidal ideation/behaviour in community-dwelling adolescents. Early Interv Psychiatry. 2017;13(3):532–8.Google Scholar
Stang, A. Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol. 2010;25(9):603–5.Google Scholar
Beck, AT, Steer, RA, Brown, G. Beck depression inventory–II. PsycTESTS Dataset; 1996. APA PsycTests.Google Scholar
Borschmann, R, Hogg, J, Phillips, R, Moran, P. Measuring self-harm in adults: a systematic review. Eur Psychiatry. 2012;27(3):176–80.Google Scholar
Green, KL, Brown, GK, Jager-Hyman, S, Cha, J, Steer, RA, Beck, AT. The predictive validity of the beck depression inventory suicide item. J Clin Psychiatry. 2015;76(12):1683–6.Google Scholar
Hiebert, R, Nordin, M. Methodological aspects of outcomes research. Eur Spine J. 2005;15(S1):S416.Google Scholar
Granö, N, Karjalainen, M, Suominen, K, Roine, M. Poor functioning ability is associated with high risk of developing psychosis in adolescents. Nord J Psychiatry. 2010;65(1):1621.Google Scholar
Granö, N, Karjalainen, M, Edlund, V, Saari, E, Itkonen, A, Anto, J, et al. Depression symptoms in help-seeking adolescents: a comparison between adolescents at-risk for psychosis and other help-seekers. J Ment Health. 2013;22(4):317– 24.Google Scholar
Lindgren, M, Manninen, M, Kalska, H, Mustonen, U, Laajasalo, T, Moilanen, K, et al. Suicidality, self-harm and psychotic-like symptoms in a general adolescent psychiatric sample. Early Interv Psychiatry. 2015;11(2):113–22.Google Scholar
Gill, KE, Quintero, JM, Poe, SL, Moreira, AD, Brucato, G, Corcoran, CM, et al. Assessing suicidal ideation in individuals at clinical high risk for psychosis. Schizophr Res. 2015;165(2–3):152–6.Google Scholar
D’Angelo, EJ, Lincoln, SH, Morelli, N, Graber, K, Tembulkar, S, Gonzalez-Heydrich, J. Suicidal behaviors and their relationship with psychotic-like symptoms in children and adolescents at clinical high risk for psychosis. Compr Psychiatry. 2017;78:31–7.Google Scholar
Wastler, HM, Cowan, HR, Hamilton, SA, Lundin, NB, Manges, M, Moe, AM, et al. Variability in suicidal ideation during treatment for individuals at clinical high risk for psychosis: the importance of repeated assessment. Early Interv Psychiatry. 2023;17(10):1038–41.Google Scholar
Hutton, P, Bowe, S, Parker, S, Ford, S. Prevalence of suicide risk factors in people at ultra-high risk of developing psychosis: a service audit. Early Interv Psychiatry. 2011;5(4):375–80.Google Scholar
Welsh, P, Tiffin, PA. The “At-Risk Mental State” for psychosis in adolescents: clinical presentation, transition and remission. Child Psychiatry Hum Dev. 2013;45(1):90–8.Google Scholar
Haining, K, Karagiorgou, O, Gajwani, R, Gross, J, Gumley, AI, Lawrie, SM, et al. Prevalence and predictors of suicidality and non-suicidal self-harm among individuals at clinical high-risk for psychosis: results from a community-recruited sample. Early Interv Psychiatry. 2020; 15(5): 1256–65.Google Scholar
Pelizza, L, Poletti, M, Azzali, S, Paterlini, F, Garlassi, S, Scazza, I, et al. Suicidal thinking and behavior in adolescents at ultra-high risk of psychosis: a two-year longitudinal study. Suicide Life Threat Behav. 2019;49(6):1637–52.Google Scholar
Pelizza, L, Leuci, E, Quattrone, E, Azzali, S, Pupo, S, Paulillo, G, et al. Adverse outcome analysis in people at clinical high risk for psychosis: results from a 2-year Italian follow-up study. Soc Psychiatry Psychiatr Epidemiol. 2023;59(7):1177–91.Google Scholar
Monducci, E, Mammarella, V, Maffucci, A, Colaiori, M, Cox, O, Cesario, S, et al. Psychopathological characteristics and subjective dimensions of suicidality in adolescents at Ultra high risk (UHR) for psychosis. Early Interv Psychiatry. 2024;19(1):e13639.Google Scholar
Kang, NI, Park, TW, Yang, JC, Oh, K, Shim, SH, Chung, YK. Prevalence and clinical features of Thought–Perception–Sensitivity Symptoms: results from a community survey of Korean high school students. Psychiatry ResNeuroimag. 2012;198(3):501–8.Google Scholar
Rasmussen, AR, Reich, D, Lavoie, S, Li, E, Hartmann, JA, McHugh, M, et al. The relation of basic self-disturbance to self-harm, eating disorder symptomatology and other clinical features: exploration in an early psychosis sample. Early Interv Psychiatry. 2019;14(3):275–82.Google Scholar
Miller, TJ, McGlashan, TH, Rosen, JL, Cadenhead, K, Ventura, J, McFarlane, W, et al. Prodromal assessment with the structured interview for prodromal syndromes and the scale of prodromal symptoms: predictive validity, interrater reliability, and training to reliability. Schizophr Bull.. 2003;29(4):703–15.Google Scholar
Schultze-Lutter, F, Ruhrmann, S, Picker, H, Klosterkötter, J. Development and evaluation of the schizophrenia proneness instrument, adult version (SPI-A). Schizophr Res. 2006;86:S4–5.Google Scholar
Loewy, RL, Pearson, R, Vinogradov, S, Bearden, CE, Cannon, TD. Psychosis risk screening with the prodromal questionnaire – brief version (PQ-B). Schizophr Res. 2011;129(1):42–6.Google Scholar
Yung, AR, Yuen, HP, Phillips, LJ, Francey, S, McGorry, PD. Mapping the onset of psychosis: the comprehensive assessment of at risk mental states (CAARMS). Schizophr Res. 2003;60(1):30–1.Google Scholar
Kaplan, ML, Asnis, GM, Sanderson, WC, Keswani, L, de Lecuona, JM, Joseph, S. Suicide assessment: clinical interview vs self-report. J Clin Psychol. 1994;50(2):294–8.Google Scholar
Roaldset, JO, Linaker, OM, Bjørkly, S. Predictive validity of the MINI suicidal scale for self-harm in acute psychiatry: a prospective study of the first year after discharge. Arch Suicide Res. 2012;16(4):287302.Google Scholar
Pedersen, G, Urnes, Ø, Hummelen, B, Wilberg, T, Kvarstein, EH. Revised manual for the global assessment of functioning scale. Eur Psychiatry. 2018;51:16–9.Google Scholar
Kaufman, J, Birmaher, B, Brent, D, et al. Schedule for affective disorders and schizophrenia for school-age children-present and lifetime version (K-SADS-PL): initial reliability and validity data. J Am Acad Child Adolesc Psychiatry. 1997;36(7):980–8.Google Scholar
Popolo, R, Vinci, G, Balbi, A. Cognitive function, social functioning and quality of life in first-episode psychosis: A 1-year longitudinal study. Int J Psychiatry Clin Pract. 2010;14(1):3340.Google Scholar
Roy, L, Rousseau, J, Fortier, P, Mottard, JP. Postsecondary academic achievement and first-episode psychosis: a mixed-methods study. Can J Occup Ther. 2015;83(1):4252.Google Scholar
Larson, MK, Walker, EF, Compton, MT. Early signs, diagnosis and therapeutics of the prodromal phase of schizophrenia and related psychotic disorders. Expert Rev Neurother. 2010;10(8):1347–59.Google Scholar
Strauss, JL, Zervakis, JB, Stechuchak, KM, Olsen, MK, Swanson, J, Swartz, MS, et al. Adverse impact of coercive treatments on psychiatric inpatients’ satisfaction with care. Community Ment Health J. 2012;49(4):457–65.Google Scholar
Oexle, N, Waldmann, T, Staiger, T, Xu, Z, Rüsch, N. Mental illness stigma and suicidality: the role of public and individual stigma. Epidemiol Psychiatr Sci. 2018;27(2):169–75.Google Scholar
Toll, A, Pechuan, E, Bergé, D, Legido, T, Martínez-Sadurni, L, Abidi, KEl, et al. Factors associated with suicide attempts in first-episode psychosis during the first two years after onset. Psychiatry Res. 2023;325:115232–2.Google Scholar
Grigoriou, M, Upthegrove, R. Blunted affect and suicide in schizophrenia: a systematic review. Psychiatry Res. 2020;293:113355.Google Scholar
Poletti, M, Pelizza, L, Loas, Gwenole, et al. Anhedonia and suicidal ideation in young people with early psychosis: further findings from the 2-year follow-up of the ReARMS program. Psychiatry Res. 2023;323:115177.Google Scholar
Moe, AM, Llamocca, E, Wastler, HM, Steelesmith, DL, Brock, G, Bridge, JA, et al. Risk factors for deliberate self-harm and suicide among adolescents and young adults with first-episode psychosis. Schizophr Bull. 2021;48(2):414–24.Google Scholar
Pelizza, L, Lisi, AD, Leuci, E, Quattrone, E, Palmisano, D, Pellegrini, C, et al. Suicidal thinking and behavior in young people at clinical high risk for psychosis: psychopathological considerations and treatment response across a 2-year follow-up study. Suicide Life Threat Behav. 2024;55(1):e13136.Google Scholar
Cassidy, RM, Yang, F, Kapczinski, F, Passos, IC. Risk factors for suicidality in patients with schizophrenia: a systematic review, meta-analysis, and meta-regression of 96 studies. Schizophr Bull. 2017;44(4):787–97.Google Scholar
Goodfellow, B, Kõlves, K, de Leo, D. Contemporary nomenclatures of suicidal behaviors: a systematic literature review. Suicide Life Threat Behav. 2017;48(3):353–66.Google Scholar
Lasa, L, Ayuso-Mateos, JL, Vázquez-Barquero, JL, Dı́ez-Manrique, FJ, Dowrick, CF. The use of the beck depression Inventory to screen for depression in the general population: a preliminary analysis. J Affect Disord. 2000;57(1–3):261–5.Google Scholar
Bjureberg, J, Dahlin, M, Carlborg, A, Edberg, H, Haglund, A, Runeson, B. Columbia-suicide severity rating scale screen version: initial screening for suicide risk in a psychiatric emergency department. Psychol Med. 2021;52(16):19.Google Scholar
Williams, R, Ostinelli, EG, Agorinya, J, Minichino, A, De Crescenzo, F, Maughan, D, et al. Comparing interventions for early psychosis: a systematic review and component network meta-analysis. EClinicalMedicine. 2024;70:102537–7.Google Scholar
Mei, C, van der Gaag, M, Nelson, B, Smit, F, Yuen, HP, Berger, M, et al. Preventive interventions for individuals at ultra high risk for psychosis: An updated and extended meta-analysis. Clin Psychol Rev. 2021;86:102005.Google Scholar
Kothgassner, OD, Goreis, A, Robinson, K, Huscsava, MM, Schmahl, C, Plener, PL. Efficacy of dialectical behavior therapy for adolescent self-harm and suicidal ideation: a systematic review and meta-analysis. Psychol Med. 2021;51(7):111Google Scholar
Ee, S, Gwon, YG, Kim, KH. Follow-up timing after discharge and suicide risk among patients hospitalized With psychiatric illness. JAMA Netw Open. 2023;6(10):e2336767–7.Google Scholar
Pompili, M. On mental pain and suicide risk in modern psychiatry. Ann Gen Psychiatry. 2024;23(1):113.Google Scholar
Brådvik, L. Suicide risk and mental disorders. Int J Environ Res Public Health. 2018;15(9):2028.Google Scholar
Figure 0

Figure 1. Preferred reporting items for systematic reviews and meta-analyses (PRISMA) flowchart outlining the study selection process.

Figure 1

Table 1. Newcastle-Ottawa scale

Figure 2

Table 2. List of included studies

Figure 3

Figure 2. Lifetime suicidal attempt.

Figure 4

Figure 3. Current suicidal ideation (2 weeks).

Figure 5

Figure 4. Lifetime suicidal ideation.

Figure 6

Figure 5. Lifetime non-suicidal self injury.

Figure 7

Table 3. Comparison between UHR and other groups

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