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. 2021 Oct 29;11:552. doi: 10.1038/s41398-021-01671-6

Worldwide prevalence of suicidal ideation and suicide plan among people with schizophrenia: a meta-analysis and systematic review of epidemiological surveys

W Bai 1,2,3,#, Z H Liu 1,2,3,#, Y Y Jiang 1,2,3,#, Q E Zhang 4,✉,#, W W Rao 1,2,3, T Cheung 5, B J Hall 6,7, Y T Xiang 1,2,3
PMCID: PMC8556328  PMID: 34716297

Abstract

Schizophrenia is a severe psychiatric disorder with high premature mortality rates. This is a meta-analysis and systematic review of the prevalence of suicidal ideation (SI) and suicide plan (SP) among people with schizophrenia. PubMed, Web of Science, Embase, and PsycINFO were systematically searched from their respective inception to October 10, 2020. Data on prevalence of SI and/or SP were synthesized using the random effects model. Twenty-six studies covering 5079 people with schizophrenia were included for meta-analysis. The lifetime and point prevalence of SI were 34.5% (95% CI: 28.2−40.9%), and 29.9% (95% CI: 24.2−35.6%), respectively. The lifetime prevalence of SP was 44.3% and the point prevalence of SP ranged between 6.4 and 13%. Subgroup and meta-regression analyses revealed that source of patients, survey countries, and sample size were significantly associated with the point prevalence of SI, while male proportion and quality assessment scores were significantly associated with the lifetime and point prevalence of SI. Survey time and mean age were significantly associated with lifetime prevalence of SI. Both SI and SP are common in people living with schizophrenia, especially in males and inpatients. Routine screening and effective interventions for SI and SP should be implemented in this population.

Subject terms: Schizophrenia, Diseases

Introduction

Schizophrenia is a severe psychiatric disorder characterized by cognitive impairment and behavioral dysfunction [1]. Compared with the general population, people living with schizophrenia have a reduced life expectancy of 10–25 years [2] and higher premature mortality rates [3], with suicide as a common cause of death [3, 4]. Suicide is a critical global health challenge [5]. Suicidal behavior exists on a continuum, ranging from repeated thoughts of killing oneself (i.e., suicidal ideation, SI), making a plan for suicide (i.e., suicide plan, SP), suicide attempts (SA) to completed suicide [6, 7]. SI, SP, and SA are the strong predictors of completed suicide [7–12]. SI, SP, and SA are also common in people living with schizophrenia, but the epidemiological findings in this population are mixed [13, 14]. For instance, a meta-analysis of 19 studies on the prevalence of suicide-related behaviors in schizophrenia in China [15] found that the pooled lifetime prevalence of SI and SA were 25.8% (95% CI: 14.7−41.1%) and 14.6% (95% CI: 9.1−22.8%), respectively [15]. Another meta-analysis of 81 studies [16] on the risk of subsequent completed suicide found that people living with schizophrenia who reported SI had a 5.8-fold higher risk of future suicide than those without SI.

In order to develop and adopt effective measures and public education to reduce suicide risk and relevant negative health outcomes, exploring the epidemiology of suicidality in people living with schizophrenia is of great public health significance. A meta-analysis [17] showed the pooled lifetime prevalence of SA was 26.8% (95% CI: 22.1−31.9%) among people living with schizophrenia. In contrast, no meta-analysis was published for pooled SI, and the estimates within individual studies [18–23] ranging between 11.0% in China [23] and 51.4% in the USA [21]. This is the similar case for SP among people living with schizophrenia [24–26]. Therefore, we conducted this meta-analysis to examine the prevalence of SI and SP in people living with schizophrenia and identify key correlates (e.g. age, gender, and source of patients) of SI and SP within this population.

Methods

Search strategy

This meta-analysis was conducted based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and the Meta-analysis Of Observational studies in Epidemiology (MOOSE) [27] recommendations. The registration number of this protocol in the International Platform of Registered Systematic Review and Meta-analysis Protocols (INPLASY) was INPLASY20200120142. Three researchers (WB, YYJ, and ZHL) independently searched relevant publications in PubMed, Web of Science, Embase, and PsycINFO from their respective inception to October 10, 2020 using the following search terms: suicid* ideation, suicid* idea, suicid* thought, suicid* plan, self-injurious behavior, self-harm, self-injury, schizophreni*, Dementia Praecox, epidemiology, prevalence, and rate.

Study selection

The same three researchers independently screened titles and abstracts of relevant publications first followed by reading full texts for eligibility. Any disagreement was resolved by consensus or a discussion with a senior researcher (YTX). To be eligible, the following inclusion criteria according to the PICOS acronym were made: Participants (P): People living with schizophrenia diagnosed according to study-defined diagnostic criteria (e.g. Diagnostic and Statistical Manual of Mental Disorders, third edition (DSM-III), DSM-IV, and the Tenth Revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10)); Intervention (I): not applicable; Comparison (C): not applicable; Outcome (O): prevalence of SI and/or SP or relevant data that enabled calculations of the prevalence of SI/SP; Study design (S): cross-sectional or cohort studies (only the baseline data of cohort studies were extracted). Exclusion criteria included: (1) timeframe of prevalence of SI and/or SP was missing; (2) studies published in non-English; (3) in order to increase homogeneity [17], studies with mixed samples (e.g. schizoaffective or schizophrenia spectrum disorders) in which data on schizophrenia cannot be extracted were excluded. To avoid missing studies, reference list of included publications was searched manually. If multiple papers were published based on the same dataset, only the one with the largest sample size was included [28].

Data extraction and quality assessment

Data were independently extracted by the same three researchers (WB, YYJ, and ZHL), including the first author, publication year, survey period, country, study design, sample size, events of SI/SP, mean age, male proportion, mean onset age, first-episode (yes/no/mixed/not reported), source of participants (inpatient, outpatient, mixed or not report), duration of illness, severity of psychotic symptoms measured by standardized scales such as the Positive and Negative Syndrome Scale (PANSS) [29] scores, education level, diagnostic system for schizophrenia (DSM vs. ICD), assessment tool of SI/SP and timeframe. Study quality assessment was conducted using an eight-item assessment instrument for epidemiological studies with the total score ranging from 1 to 8 points [30, 31]. Study quality were collapsed into low (0–3 points), moderate (4–6 points), and high quality (7 and 8 points) [30]. Any uncertainty was resolved by consensus or a discussion with a senior researcher (YTX).

Statistical analysis

The pooled prevalence of SI/SP and corresponding 95% confidence interval (CI) was calculated using the random-effect model. Study heterogeneity was evaluated by I2 statistic, with I2 more than 50% indicating high heterogeneity [32]. Subgroup and meta-regression analyses were performed to explore the source of heterogeneity. Subgroup analyses were conducted when there were at least three studies in each subgroup [33]. Subgroup analyses were performed based on the following categorical variables: gender, source of patients, sampling method, type of countries (high-income vs. low- and middle-income countries according to the International Monetary Fund [34], measurement instrument for SI/SP, average education year (dichotomized using the median split method), and sample size (dichotomized using the median split method) [28]. Meta-regression analyses were conducted for continuous variables (including survey time, mean age, male proportion, quality assessment scores, and duration of illness) if the number of included studies was more than 10 [35]. Publication bias was examined by funnel plots and Begg’s test [36]. Sensitivity analysis was conducted to test the consistency of primary results by removing each study one by one. The significance level was set as P < 0.05 (two-tailed). Data analyses were conducted with STATA, Version 15.0 (StataCorp LLC, College Station, Texas, USA) and Comprehensive Meta-Analysis Version 2.0 (Biostat Inc., Englewood, New Jersey, USA).

Results

Search results, study characteristics, and quality assessment

A total of 3601 publications were initially identified; of which, 26 studies covering 5079 people living with schizophrenia fulfilled the study criteria and were included (Fig. 1). Study characteristics are presented in Table 1. The sample size of the 26 studies ranged from 35 to 720 and the mean age ranged from 21.6 to 46.7 years. Most were cross-sectional studies (n = 25, 96%) and used non-probability sampling (n = 19, 73%). Most studies used the DSM system (n = 22, 85%) while two studies used the ICD-10, and another two studies used DSM or ICD.

Fig. 1. Flowchart of study selection.

Fig. 1

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This figure described the procedure of studies selection. Among 3601 publications identified through literature search, 26 studies met the inclusion criteria and were included.

Table 1.

Characteristics of included studied in the meta-analysis.

No. First author (publication year) References Country Survey time Study design Sampling method Sample size Demographic information Schizophrenia-related information SI-related information Quality assessment score
Source of patients Mean age (years) Male gender proportion (%) Average education level (years) Diagnostic criteriaa Average onset age (years) Average duration of illness (years) Measure instrument Timeframe of SI
1 Acosta (2020) [73] Spain 2012−2015 Cohort Non-probability sampling 133 Outpatient 46.7 69.2 Categorical data ICD-10 NR 20.84 Scale Lifetime 4
2 Ainiyet (2014) [37] Poland Sept. 2005−Jun. 2006 Cross-sectional Non-probability sampling 148 Inpatient 32 46.63 NR DSM-IV NR 7 Interview 3-month 4
3 Dell’Osso (2012)b [25] Italy NR Cross-sectional Non-probability sampling 79 Mixed 36.28 69.6 Categorical data DSM-IV NR NR Question Lifetime 5
4 Duko (2018) [74] Ethiopia Aug. 2016−Sept. 2016 Cross-sectional Probability sampling 272 NR 33.71 68.8 Categorical data DSM-IV NR NR Interview Lifetime 5
5 Evren (2004) [75] Turkey Aug. 2001−Jan. 2002 Cross-sectional Probability sampling 60 Mixed 39.17 50 8.4 DSM-IV NR 15.38 Scale Point 5
6 Fang (2019) [19] China NR Cross-sectional NR 174 NR 35.83 47.13 13.06 DSM-IV 23.6 12.23 Scale Point 4
7 Grover (2017) [48] India NR Cross-sectional Non-probability sampling 181 Mixed 34 53.6 11.6 DSM-IV 23.2 10.78 NR Point 4
8 Hintikka (1998) [76] Finland May. 1993 Cross-sectional Probability sampling 71 Mixed NR NR NR DSM-III NR NR Scale Point 6
9 Hocaoglu (2009) [77] Turkey Apr. 2006−Jun. 2006 Cross-sectional Non-probability sampling 120 Mixed 36.7 52.5 NR DSM-IV NR NR Scale Lifetime 4
10 Hosseini (2012) [78] Iran 2007−2008 Cross-sectional Non-probability sampling 100 Inpatient 34.9 74 NR DSM-IV 23.1 11.6 Scale Lifetime 5
11 Iancu (2010) [79] Israel 2000 Cross-sectional Non-probability sampling 68 Inpatient 39.4 100 NR DSM-IV NR 15 Scale Lifetime & point 4
12 Jovanović (2013) [80] Croatia 2007−2010 Cross-sectional Non-probability sampling 509 NR 33.71 47 NR DSM-IV NR 5.49 Scale Lifetime 4
13 Kao (2012) [81] China NR Cross-sectional Non-probability sampling 102 Outpatient 39.47 49.02 12.88 DSM-IV 24.14 16.2 Scale Point 6
14 Kibru (2020) [82] Ethiopia May 2018−Jun. 2018 Cross-sectional Probability sampling 409 Outpatient 22 62.3 Categorical data DSM-V Categorical data NR Scale Lifetime 7
15 Kim (2010) [83] Korea NR Cross-sectional Non-probability sampling 84 Inpatient 43 53.6 11.7 DSM-IV 24.5 12.9 Question Point 4
16 Kontaxakis (2004)b [26] Greece Oct. 1996−Nov. 1997 Cross-sectional Non-probability sampling 93 Inpatient 30.3 69 12.3 DSM-IV NR 7.2 Scale Point 4
17 Minzenberg (2014) [21] USA NR Cross-sectional Non-probability sampling 35 Outpatient 21.55 82.86 12.81 DSM-IV NR NR Scale Lifetime 4
18 Misiak (2015) [84] Poland NR Cross-sectional Non-probability sampling 100 NR 27.8 53 Categorical data DSM-IV NR NR Scale Lifetime 4
19 Pelizza (2020) [18, 24] Italy Jan. 2013−Dec. 2018 Cross-sectional Non-probability sampling 43 NR NR NR NR DSM-IV NR NR Scale Lifetime 4
20 Prokopez (2020)b [85] Argentina Jul. 2017−Feb. 2018 Cross-sectional Non-probability sampling 100 NR 45.82 50 10 DSM/ICD-10 22 (median) 21.93 Scale Point 4
21 Radomsky (1999) [38] USA Jan. 1, 1992−May 1, 1994 Cross-sectional Non-probability sampling 454 Inpatient NR 64.3 NR DSM-III NR NR Hospital records Lifetime & point & more than 1 month before admission 4
22 Ran (2004) [23] China May 1, 2002−Aug. 20, 2002 Cross-sectional Non-probability sampling 145 Inpatient 32.2 51 Categorical data DSM-IV 25.7 6.6 Scale Lifetime 6
23 Schwartz (2001) [86] USA NR Cross-sectional NR 267 Inpatient 37.2 54 NR DSM-IV NR 14.4 Interview Point 4
24 Touriño (2018) [20] Spain Mar. 2014−Jul. 2014 Cross-sectional Non-probability sampling 71 Outpatient 40.07 80.28 Categorical data ICD-10 NR 17 (median) Scale Lifetime & 1 year 4
25 Yan (2013) [22] China Jan. 2007 Cross-sectional Probability sampling 540 Outpatient 42.8 49.4 10.4 DSM-IV/ICD-10 25.7 17.08 Scale Point 6
26 YildiZ (2010) [87] Turkey Mar. 1, 2006−Mar. 1, 2008 Cross-sectional Non-probability sampling 720 Outpatient 35.5 50.3 8.7 DSM-IV 23.5 12 Interview Lifetime 4
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NR not reported, SI suicidal ideation.

aDiagnostic criteria: DSM-III, Diagnostic and Statistical Manual of Mental Disorders, third edition; DSM-IV, Diagnostic and Statistical Manual of Mental Disorders, fourth edition; DSM-V, Diagnostic and Statistical Manual of Mental Disorders, 5th edition; ICD-10, the Tenth Revision of the International Statistical Classification of Diseases and Related Health Problems.

bDell’Osso et al. reported the lifetime prevalence of suicidal plan (SP), Kontaxakis et al. and Prokopez et al. reported the point prevalence of SP.

Most studies used items from standardized scales (e.g. the Calgary Depression Scale for Schizophrenia (CDSS), the Hamilton Depression Scale (HAMD), and the Suicide Risk Scale (SRS)) on suicidality to measure SI/SP. In four studies, interviews were conducted to collect data on SI/SP, while in another two studies, standardized questions on SI/SP were used, and in another study, data on SI/SP were collected from hospital records (Table 1). Fourteen studies reported lifetime prevalence, 13 studies reported point prevalence, one study reported 3-month prevalence, one study reported 1-year prevalence, and one study reported prevalence of SI during more than 1-month period before inpatient admission. In contrast, one study reported the lifetime prevalence and two studies reported point prevalence of SP.

Scores of study quality assessment ranged from 4 to 7; of which, one study was rated as “high quality” (4%) and 25 were “moderate quality” (96%) (Supplementary Table S1). The data on severity of psychotic symptoms measured by the PANSS are shown in Supplementary Table S2.

Prevalence of suicidal ideation and suicide plan

The pooled lifetime prevalence of SI was 34.5% (95% CI: 28.2−40.9%; I2 = 92.9%) (Fig. 2a), and the pooled point prevalence of SI was 29.9% (95% CI: 24.2−35.6%; I2 = 89.5%). The 3-month prevalence [37], 1-year prevalence [20], and prevalence of SI during more than 1 month period before admission [38] was 44.6%, 16.2%, and 19.6%, respectively. The lifetime prevalence of SP was 44.3% [25], and point prevalence of SP in two studies was 6.4% [26] and 13% [24], respectively.

Fig. 2. Forest plot of the prevalence of suicidal ideation (SI).

Fig. 2

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a Lifetime prevalence of SI; b Point prevalence of SI.

Subgroup and meta-regression analyses

The results of subgroup analyses are shown in Table 2. Source of participants, survey countries, and sample size were significantly associated with the point prevalence of SI (all P values < 0.05). In meta-regression analyses, survey time (β = 0.0428, z = 8.34, P < 0.001) and quality assessment scores (β = 0.2387, z = 6.69, P < 0.001) were positively associated with lifetime prevalence of SI, while mean age was negatively associated with lifetime prevalence of SI (β = −0.0464, z = −6.01, P < 0.001), and male proportion was positively associated with the lifetime (β = 0.0165, z = 4.81, P < 0.001) and the point prevalence of SI (β = 0.0196, z = 4.60, P < 0.001). Additionally, quality assessment scores were negatively associated with the point prevalence of SI (β = −0.1963, z = −3.74, P < 0.001).

Table 2.

Subgroup and meta-regression analyses of lifetime and point prevalence of suicidal ideation in patients with schizophrenia.

Subgroup analyses
Subgroupsa Categories (number of studies) Events Sample size Prevalence (%) 95% CI (%) I2 (%) P values within subgroups Q (P values across subgroups)
Lifetime
 Gender Male (6) 188 509 36.9 31.0–43.2 0 0.518 0.092 (0.762)
Female (5) 137 403 35.4 28.3–43.1 62.3 0.031
 Source of patients Outpatients (4) 427 1233 42.2 27.3–58.8 96.4 <0.001 3.095 (0.079)
Inpatients (4) 188 768 23.8 13.8–37.9 83.6 <0.001
 Survey country High-income (6) 245 749 38.9 28.8–50.0 81.1 <0.001 1.384 (0.239)
Low- or middle-income (8) 786 2375 30.9 23.6–39.3 94.0 <0.001
 Sample size ≤110 (7) 183 495 38.0 29.0–48.0 60.5 0.019 1.289 (0.256)
>110 (7) 848 2629 30.8 23.4–39.3 95.2 <0.001
 Measure of instrument Scale (10) 584 1599 34.2 27.3–41.9 88.1 <0.001 0.010 (0.921)
Non-scale (4) 447 1525 33.5 23.7–45.1 93.5 <0.001
Point
 Gender Male (7) 200 679 33.4 24.2–44.1 85.2 <0.001 0.580 (0.446)
Female (6) 135 547 27.8 18.9–38.9 79.7 <0.001
 Source of patients Outpatient (3) 190 775 27.7 19.9–37.2 81.8 0.004 9.553 (0.008)
Inpatient (5) 342 967 38.5 30.8–46.8 76.5 0.002
Mixed (3) 57 312 20.0 13.3−29.0 79.7 0.007
 Survey country High-income (7) 403 1171 36.4 30.1–43.3 67.5 0.005 10.725 (0.001)
Low- or middle-income (6) 244 1157 22.0 17.0–27.8 83.2 <0.001
 Sampling method Probability sampling (3) 148 671 23.7 15.4–34.8 22.7 0.331 2.018 (0.155)
Non-probability sampling (8) 379 1216 32.9 26.2–40.3 85.5 <0.001
 Average education year ≤11.6 (4) 185 881 21.7 13.2–33.5 83.8 <0.001 1.283 (0.257)
>11.6 (4) 132 453 31.1 19.9–45.2 91.4 <0.001
 Sample size ≤118 (7) 207 579 35.4 27.6–43.9 68.3 0.004 4.499 (0.034)
>118 (6) 443 1749 24.0 18.0–31.1 91.0 <0.001
 Measure of instrument Scale (9) 347 1342 28.6 23.0–34.9 81.4 <0.001 2.471 (0.116)
Non-scale (3) 280 805 38.4 28.0–50.0 84.6 0.002
Meta-regression analyses
Covariates Coefficient Standard error 95% lower 95% upper z value P value
Lifetime
 Survey time 0.0428 0.0051 0.0327 0.0529 8.34 <0.001
 Male proportion 0.0165 0.0034 0.0098 0.0232 4.81 <0.001
 Mean age (years) −0.0464 0.0077 −0.0616 −0.0313 −6.01 <0.001
 Study quality assessment 0.2387 0.0357 0.1688 0.3086 6.69 <0.001
Point
 Male proportion (%) 0.0196 0.0043 0.0112 0.0279 4.60 <0.001
 Mean age (years) 0.0022 0.0125 −0.0223 0.0267 0.18 0.860
 Duration of illness (years) 0.0138 0.0152 −0.0160 0.0437 0.91 0.363
 Study quality assessment −0.1963 0.0525 −0.2992 −0.0934 −3.74 <0.001
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CI confidence interval.

aContinuous variables in subgroup analyses were divided according to median splitting method.

Sensitivity analyses and publication bias

After removing studies one by one in sensitivity analyses, no outlying studies that could significantly change the primary results were found (Supplementary Fig. S1). Although funnel plots show slight asymmetry, Begg’s tests did not reveal significant publication bias (lifetime prevalence of SI: z = 1.31, P = 0.222; point prevalence of SI: z = 1.04, P = 0.300) (Supplementary Fig. S2).

Discussion

Suicidality such as SI and SP is common in individuals with severe mental health problems including schizophrenia [39], particularly in hospitalized patients, which is significantly associated with increased risk of suicide [16]. Effective interventions targeting patients with schizophrenia who are at high risk of SI and SP are a priority for reducing the likelihood of future suicide [40]. To the best of our knowledge, this was the first study that examined the prevalence of SI and SP among people living with schizophrenia globally. The pooled lifetime prevalence of SI was 34.5% (95% CI: 28.2−40.9%), which is higher than the corresponding figure (25.8%, 95% CI: 14.7–41.1%) among people living with schizophrenia in China [15]. Moreover, this figure is much higher than that in the global general population (9.2%) [41]. The pooled point prevalence of SI in this meta-analysis was 29.9% (95% CI: 24.2−35.6%) among people living with schizophrenia, which is higher than the figure in homeless people (17.8%, 95% CI: 10.7−28.1%) [42]. SI among people living with schizophrenia could be associated with severe psychiatric symptoms (e.g., depressive symptoms), heavy economic burden, and severe stigma and discrimination, all of which could increase the risk of suicide [3, 43–46]. No global figure on SP was previously reported; therefore, direction comparisons were not made. It is noteworthy that different demographic characteristics, illness stage, comorbidities, and treatments were associated with the epidemiology of suicidality including SI and SP [16, 47, 48]; therefore, direct comparisons of the findings between this meta-analysis and other studies should be made with caution.

Subgroup analyses revealed that point prevalence of SI among inpatients with schizophrenia (38.5%, 95% CI: 30.8−46.8%) was higher than those in other settings (e.g., outpatients: 27.7%, 95% CI: 19.9−37.2%; mixed in- and outpatients: 20.0%, 95% CI: 13.3−29.0%). Hospitalized patients usually suffer from more severe psychiatric symptoms, particularly depressive symptoms, which is associated with higher risk of suicidality [43, 44]. The point prevalence of SI was higher in studies with small sample sizes. It should be noteworthy that small sample size is usually associated with unstable findings in epidemiological surveys [49, 50]; therefore, this finding suggests selection bias in small samples that should be taken into account in future studies. The point prevalence of SI in high-income countries (36.4%, 95% CI: 30.1−43.3%) was higher than the corresponding figure in low- and middle-income countries (22.0%, 95% CI: 17.0−27.8%). The discrepancy in SI across countries could be partly explained by different socioeconomic factors and health service systems [51–55]. For instance, suicide screening and reporting systems are usually well established in high-income countries; therefore, SI in these countries are more likely to be identified. A cohort study of psychiatric patients found that higher income individuals were associated with a higher risk of suicide (hazard ratio (HR): 2.21, 95% CI: 2.06–2.35) [51]. Another study involving 17 countries found that the prevalence of SI in patients with mood disorders in high-income countries (OR = 4.7, 95% CI: 4.2−5.2) was higher than that in low- and middle-income countries (OR = 3.4, 95% CI: 2.8−4.1) [41].

Meta-regression analyses revealed that the lifetime prevalence of SI was positively associated with survey year, which could be due to several reasons. First, schizophrenia has gained growing attention globally because of its heavy social and economic burden [3, 56], resulting in increasing reported prevalence of suicidality including SI. Second, certain contributing factors of suicidality, such as alcohol and substance abuse, have been increasing over time [57–59], which could increase the likelihood of SI. Third, reports on suicide of celebrities in the media have increased in recent decades [60–62]. A meta-analysis found the risk of suicide increased by 13% (95% CI: 8−18%) in the general population after the suicide of a celebrity was reported in the media [63]. Therefore, extensive media reports on suicide of celebrities in recent years may have increased the prevalence of suicidality among people living with schizophrenia. The mean age of people living with schizophrenia was negatively associated with the lifetime prevalence of SI, which is consistent with previous findings [64, 65]. Compared to older patients, younger patients usually face greater social and survival stress in daily life and are more likely to contact online suicide-related information [65], both of which could increase the risk of suicidality. Meta-regression analyses revealed that male gender was positively associated with both and lifetime point prevalence of SI in schizophrenia patients, which confirms previous findings that male gender is a risk factor of suicide in both among people living with schizophrenia [66] and the general population [49]. A meta-analysis of 35 studies found that compared with female patients, males living with schizophrenia had a higher risk of suicide (OR = 1.34, 95% CI: 1.14–1.58) [66]. Males living with schizophrenia usually experienced more stigma [45], and had higher unemployment rate [67, 68], higher rate of alcohol and substance use [69], and higher levels of impulsivity and aggression [70], all of which are associated with higher suicide risk [66]. In meta-regression analyses, we also observed that quality scores were positively associated with the lifetime prevalence of SI, but negatively associated with the point prevalence of SI. It should be noted that the number of included studies was small in the two analyses (n = 14 and n = 13, respectively), which may reduce the statistical power of the findings. Additionally, the possibility of recall bias in the assessment of lifetime SI could not be excluded. In high-quality studies good training on the use of instruments, random sampling, and strict quality control are usually adopted. These factors may reduce the risk of false positive rates, and may also result in a relatively lower prevalence of suicidality compared to poor quality studies.

The strengths of this systematic review and meta-analysis are the large number of included studies across different countries globally, the large sample size, and use of sophisticated analyses such as subgroup, meta-regression, and sensitivity analyses. However, several limitations should be noted. First, heterogeneity could not be avoided when conducting the meta-analysis of epidemiological studies [71, 72], although subgroup analyses and meta-regression analyses were conducted. Second, some factors related to SI, such as illness severity, comorbid depression, severity of psychotic symptoms, and use of antipsychotics, were not examined due to insufficient data in the included studies. Third, data of SI were retrospectively collected in some studies, which may lead to recall bias. Fourth, only published studies were included in this meta-analysis due to a lack of access to unpublished data, which may have biased our findings to an uncertain extent. Finally, the prevalence of SP was not synthesized due to limited number of studies.

In conclusion, both SI and SP were common among people living with schizophrenia, especially in males and inpatients. Considering the close associations of SI and SP with future suicide, routine screening on suicidality should be carried out to identify those at high risk in order to provide timely treatments to those in need.

Supplementary information

Supplemental material (258.4KB, docx)

Acknowledgements

The study was supported by the National Science and Technology Major Project for Investigational New Drug (2018ZX09201-014), the Beijing Municipal Science & Technology Commission (No. Z181100001518005), Scientific Research Common Programof Beijing Municipal Commission of Education (KM202010025011), Beijing Municipal Science & Tech Commission (Z191100006619061) and the University of Macau (MYRG2019-00066-FHS).

Author contributions

Study design: WB, QEZ, YTX. Data collection, analysis and interpretation: WB, ZHL, YYJ, QEZ, WWR. Drafting of the manuscript: WB, QEZ, YTX. Critical revision of the manuscript: TC, BJH. Approval of the final version for publication: all co-authors.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

These authors contributed equally: W. Bai, Z.H. Liu, Y.Y. Jiang, Q.E. Zhang.

Supplementary information

The online version contains supplementary material available at 10.1038/s41398-021-01671-6.

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