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Published in final edited form as: Arch Suicide Res. 2021 Oct 23;27(2):323–338. doi: 10.1080/13811118.2021.1993399

Auditory Hallucinations, Depressive Symptoms, and Current Suicidal Ideation or Behavior Among Patients with Acute-episode Schizophrenia

Yi Yin 1, Jinghui Tong 1, Junchao Huang 1, Baopeng Tian 1, Song Chen 1, Shuping Tan 1, Zhiren Wang 1, Fude Yang 1, Yongsheng Tong 1,2, Fengmei Fan 1, Peter Kochunov 3, Yunlong Tan 1,*, L Elliot Hong 3
PMCID: PMC9682271  NIHMSID: NIHMS1848399  PMID: 34689715

Abstract

Suicide risk and auditory hallucinations are common in schizophrenia, but less is known about its associations. This cross-sectional study aimed to determine whether the presence and severity of auditory hallucinations were associated with current suicidal ideation or behavior (CSIB) among patients with schizophrenia. We interviewed 299 individuals with schizophrenia and acute symptoms and reviewed their medical records. Measurement included the Psychotic Symptom Rating Scale (PSYRATS-AH), the Calgary Depression Scale for Schizophrenia (CDSS), and the Positive and Negative Syndrome Scale. Logistic regression and path analysis were used. The CSIB prevalence was higher among patients with current auditory hallucination than those without (19.5% vs. 8.6%, crude odds ratio = 2.58, p = .009). Lifetime auditory hallucination experience (adjusted odds ratio [AOR] = 3.81; 95% CI: 1.45–10.05) or current auditory hallucination experience (AOR = 3.22; 95% CI: 1.25–8.28) can elevate the likelihood of CSIB while controlling for depressive symptoms and lifetime suicide-attempt history. Among those with auditory hallucinations, the emotional score of the PSYRATS-AH was positively associated with the CDSS score and there was a small indirect effect of the CDSS score on the association between the emotional domain score and CSIB (bias-corrected 95% CI, 0.02–0.20). In conclusion, the presence of auditory hallucinations was strongly associated with CSIB, independent of depressive symptoms and lifetime suicide attempts. Suicide risk assessment should consider auditory hallucination experience and patients’ appraisal of its emotional characteristics. Future cohort studies are necessary to provide more conclusive evidence for the mediating pathways between auditory hallucinations and CSIB.

Keywords: schizophrenia, suicide attempt, hallucinations, depression, suicidal ideation


Globally, approximately one in four individuals with schizophrenia have attempted suicide, and 4%–20% die by suicide (Ko et al., 2018; Lu et al., 2019; Ran, Mao, Chan, Chen, & Conwell, 2015), making suicide prevention a key component for the treatment and recovery of schizophrenia (Foster, 2015). Finding those with high suicide risk and exploring the risk factors is important. Previous studies have demonstrated that psychotic experience often co-occurs with suicidal ideation (SI) or suicide attempt (SA) not only in the general population (Bromet et al., 2017; Capra, Kavanagh, Hides, & Scott, 2015; DeVylder, Lukens, Link, & Lieberman, 2015; Hielscher, DeVylder, Saha, Connell, & Scott, 2018; Nishida et al., 2010; Yates et al., 2019) but also in clinical samples (Bornheimer, Wojtalik, Li, Cobia, & Smith, 2021). Hallucinations in schizophrenia spectrum disorders, including visual and other hallucinations, are also related with recent SI and suicidal plans (Bornheimer, 2019; L. A. Bornheimer & Jaccard, 2017; Kjelby et al., 2015; Madsen & Nordentoft, 2012; Wong et al., 2013).

However, increased understandings are needed about the association between auditory hallucinations and suicide risk in schizophrenia. Auditory hallucinations are sensory experiences of voices or non-verbal sounds (e.g., ringing) without external stimulation (de Leede-Smith & Barkus, 2013). As a prominent psychotic symptom (Lim, Hoek, Deen, & Blom, 2016), auditory hallucinations often contain negative content, including devaluation and commands to harm oneself or others (Laroi et al., 2012). Command auditory hallucinations, which are unique in psychosis, are associated with an increased risk of recent SI or SA (Wong et al., 2013). In community settings, adolescents with auditory hallucinations also were found to have an increased risk for future non-suicidal self-injury (NSSI) and SA within the next two years (Hielscher et al., 2020). However, these previous studies had limitations in controlling confounding factors such as depressive symptoms, history of suicide attempts, and the severity of other positive symptoms. In addition, researchers summarized several characteristics of auditory hallucinations, including negative content, frequency, and emotional valence (Haddock, McCarron, Tarrier, & Faragher, 1999). Differentiating the features of auditory hallucinations according to the above criteria may advance our understanding about which characteristic of auditory hallucinations can elevate the suicide risk. However, only one UK team reported that the severity of recent SI was positively correlated with negative emotional reactions to auditory hallucinations among those with psychosis (Fialko et al., 2006). The limitations of this study were that they used secondary data from a clinical trial cohort with high potential recruitment bias and did not consider other explanatory variables such as depressive symptoms. Then, findings among those without schizophrenia also suggest the value to explore the features of auditory hallucinations and suicide risk. One community study showed that only distressed voice-hearing experience was associated with adolescents’ lifetime self-harm, but the non-distressing voice was not (Løberg, Gjestad, Posserud, Kompus, & Lundervold, 2019).

Moreover, studies have demonstrated that the severity of auditory hallucinations is positively associated with depressive symptoms among patients with schizophrenia (Steel et al., 2007; Wang, Beckstead, & Yang, 2019). The cognitive theory of auditory hallucinations also argues that individuals hearing voices during psychotic episodes are vulnerable to elevated depressive moods (Chadwick & Birchwood, 1994; Mawson, Cohen, & Berry, 2010). Meanwhile, individuals with depressive symptoms frequently use negative cognitive appraisal in their social life and this social schema may be applied to the appraisal of voices (Paulik, 2012), generating negative emotional reactions to auditory hallucinations.

Since the depressive symptom also strongly predicts suicide and SA (Cassidy, Yang, Kapczinski, & Passos, 2018), it is necessary to consider its function in the association between psychotic experience and suicide thoughts (Honings, Drukker, Groen, & van Os, 2016). Previous community-based studies reported that depressive symptoms mediated or moderate psychotic experience and SI (Bornheimer et al., 2019; Jang et al., 2014), subsequent SA (Kelleher et al., 2013), or self-harm (Hielscher et al., 2019). Especially, adolescents with auditory hallucinations have more depressive symptoms (Hielscher, Connell, et al., 2018). Although the issue has been examined, there remain limited understandings of the relationships between suicide and schizophrenia. Especially, none study discusses the mediation role of depressive symptoms between auditory hallucinations and suicidality among individuals with schizophrenia.

Due to the high suicide rate and limited understanding of suicide risk among individuals diagnosed with schizophrenia, it is needed to examine suicide risk to develop targeted suicide prevention and reduce suicide risk in schizophrenia. To fill the research gap, we conducted a cross-sectional study to test: (1) whether auditory hallucinations (lifetime presence/ current presence/ severity) were significantly associated with current suicidal ideation or behavior (CSIB) in schizophrenia; (2) whether auditory hallucinations (lifetime presence/ current presence/ severity) were significantly associated with depressive symptoms and whether depressive symptoms mediated associations between auditory hallucinations and CSIB among individuals with schizophrenia if there were. Findings would help identify high-risk individuals with schizophrenia for early suicide intervention.

Methods

Subjects were recruited from inpatients at Beijing HuiLongGuan Hospital, a psychiatric hospital with approximately 1,300 beds in a northern city of China.

Patients and/or their guardians (for those under 18 years old or lack of capability to consent) provided written consent. This study was approved by the Institutional Review Boards of the Beijing HuiLongGuan Hospital, Beijing, China.

Participants

Psychiatrists recruited potential participants and their guardians, presented information about the study, and explained the benefits and risks. Psychiatrists screened the patients who had a wish to participate. Trained psychiatrists in the research team confirmed the inclusion and exclusion criteria. Patients were included if they were between 16 and 60 years old, diagnosed with schizophrenia based on the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders-IV (DSM-IV ;American Psychiatric Association, 1994), currently experiencing psychosis symptoms, and if they had exposure to antipsychotic medication for less than two weeks in this episode. Currently experiencing psychosis symptoms was defined as any symptom of participants was rated more than three in any item on the positive symptom subscale of the Positive and Negative Syndrome Scale (PANSS; He & Zhang, 2000; Kay, Fiszbein, & Opler, 1987). Exclusion criteria included: a diagnosis of organic brain disorders, organic auditory or visual perception disorders, current comorbidity with other Axis I mental disorders, unstable major medical conditions (e.g., cancer), significant adverse reactions to medicines, pregnancy, or lactation.

Measurements

Trained psychiatrists administrated all the interviews.

Current experience of auditory hallucinations was defined as hearing voices or non-verbal sounds when conscious and not under the influence of external stimulations, drugs, alcohol, physical illness, or hypnagogic therapy within the week of the interview (Kelleher et al., 2014). First, psychiatrists asked participants whether they had lifetime auditory hallucinations and when the auditory hallucinations occurred (within seven days/ seven days before/ never). Second, the subjective severity of auditory hallucinations within seven days was assessed using the auditory hallucinations rating subscale of the Psychotic Symptom Rating Scale (PSYRATS-AH ;Haddock et al., 1999; Xu, Li, Guo, Chen, & Zhang, 2012). The subscale contains 11 items covering 3 domains: physical characteristics (frequency, duration, location, loudness), emotional characteristics (amount and degree of negative content, amount and intensity of distress), and cognitive interpretation (beliefs about the origin of voices, disruption to life caused by voices, controllability of voices; Haddock et al., 1999). All items are rated with a five-point ordinal scale (0–4); higher scores indicate more severe symptoms. In the current study, Cronbach’s α for each domain was .53, .82, and .69. Moreover, the presence of command auditory hallucinations was recoded from the item 7 “degree of negative content” of the PSYRATS-AH (1 to 3 = absence; 4 “personal threats to self, e.g., threats to harm self or family, extreme instructions or commands to harm self or others” = presence).

Depressives symptoms were evaluated through the Calgary Depression Scale for Schizophrenia (CDSS; Addington, Addington, & Maticka-Tyndale, 1993; Liu et al., 2009). The scale measures depressive symptoms in the last two weeks using nine items, each with ratings from 0 (absent) to 3 (severe). This study calculated the total CDSS score as the sum of all items except item 8, which measured suicidality. Higher depression scores mean greater symptoms of depression. In our study, the Cronbach’s α was .88.

CSIB was assessed through item 8 of the CDSS, which measures suicide thoughts and behavior within two weeks. Scores were 0 for no suicidality, 1 for the presence of SI, 2 for a suicidal plan, and 3 for a SA. The presence of CSIB was coded as 1 (yes) if the item score was >0 and 0 (no) if the item score was 0.

Lifetime SA was defined as a previous nonfatal act of deliberate self-harm with intent to die regardless of the outcome or treatments. The information was collected through interviewing with the patients and family informants or extracting from suicide risk management records and other medical records.

Positive symptoms were assessed using the PANSS (He & Zhang, 2000; Kay et al., 1987). The seven items in the positive symptom subscale, rated on a 7-point scale (1 = absent; 7 = extreme), measure delusion, conceptual disorganization, hallucinatory behavior, excitement, grandiosity, suspiciousness/persecution, and hostility. The inter-observer correlation coefficient was > .80. In this study, we used the sum score of the six items except “P3 hallucinatory behavior” as a confounder. The total subscale score ranges from 6 to 42 with a higher score indicating greater severity of positive symptoms.

Statistical Analysis

The group differences in demographic and clinical characteristics were determined using χ2 tests or Fisher’s exact tests for categorical variables. For variables that violated normality, Mann-Whitney U rank-sum test was performed to determine trends between the two groups.

First, we ran a multivariable binary logistic regression to explore whether auditory hallucinations (lifetime presence/absence; current presence/absence; three-domain scores) and the CDSS score predicted CSIB (with /without). Second, we examined associated factors for the CDSS score using multivariable linear regression. The model was controlled for age, sex, lifetime SA, use of antidepressants, positive symptoms, and duration of illness. Furthermore, we confirmed the mediation effect size through path analysis, using a generalized structural equation model (GSEM) where the outcome variable (CSIB) was dichotomous. The best-fitting model was determined using the Akaike information criterion (AIC) or the Bayesian information criterion (BIC). A lower AIC score or BIC score indicates a better-fitting model. Bias-corrected confidence intervals for all direct and indirect pathways were calculated through 500 replicated bootstraps. Multicollinearity was checked through a variance inflation factor (VIF) less than 3.0 for all variables.

Statistical analyses were performed in Stata 15.0 for Windows (Stata Corp, College Station, TX, USA). Significance level was set at two-side p-value < .05.

Results

Demographics and Clinical Characteristics

Of the original 323 participants, 22 were without positive symptoms now, and 2 did not finish every item in the CDSS. Thus, the statistical analysis about the experience of auditory hallucinations included 299 samples. For three participants with missing items (less than two) in the PSYRATS-AH, we imputed missing values with the median score.

We identified 14.3% of participants with CSIB (29 suicidal ideation, 8 suicidal plan, 6 attempted suicide). Those with or without CSIB had no difference in age, sex, education years, duration of illness, and antipsychotic use (Table 1). However, the proportion of antidepressant use was higher in those with CSIB than those without (18.6% vs. 2.3%, p < .001). Medication use was detailed in Supplemental Table S1.

Table 1.

The Characteristics of Patients with Schizophrenia by the Presence of Current Suicidal Ideation or Behavior (N = 299).

Variables Current suicidal ideation or behavior Statistics p
Without
(n = 256)
With
(n = 43)
Median (IQR) Median (IQR) z
Age 31(21) 29(21) 0.20 .842
Education years 12(9) 11(9) −0.08 .935
Duration of illness, years 1(4.5) 2(4.5) −0.58 .561
PSYRATS-AH a
 Physical characteristics 10(3) 10(4) 0.74 .459
 Emotional characteristics 8(5) 9(6) −0.23 .822
 Cognitive interpretation 9(3) 8(4) 1.29 .198
CDSS 1(4) 9(9) −8.21 < .001
PANSS-P 19(7) 18(5) 0.409 .683
n (%) n (%) χ2
Male 129 (50.4) 26 (60.5) 1.50 .221
Lifetime auditory hallucinations 139(54.3) 33(76.7) 7.59 .006
Current auditory hallucinations 128(50) 31(72.1) 7.22 .007
Prior suicide attempts 18 (7.0) 15 (34.9) 29.09 < .001
Fisher's
exact
Current command auditory hallucinations 19(7.4) 3(7.0) .608
Using antipsychotics 249(97.3) 41(95.4) .622
Using antidepressants 6(2.3) 8(18.6) < .001

Abbreviations: PSYRATS-AH = the auditory hallucinations subscale of the Psychotic Symptom Rating Scale; CDSS = Calgary Depression Scale for Schizophrenia (except the item 8 “Suicidal history”); PANSS-P = the Positive and Negative Syndrome Scale – Positive symptom subscale (except the item “P3 hallucinations”).

Note:

a.

The PSYRATS-AH score was only measured in those with current auditory hallucinations.

Results statistically significant at p < .05 level are in bold.

Auditory Hallucinations and CSIB

The bivariate analysis showed that higher proportions of lifetime auditory hallucination experience and current auditory hallucination experience were reported by patients with CSIB than those without (Table 1). CSIB prevalence was higher among patients with current auditory hallucination experience than those without (19.5% vs. 8.6%, crude odds ratio = 2.58, p = .009). The difference between those with or without CSIB in the three domain scores of the PSYRATS-AH was nonsignificant (p > .05, Table 1). Moreover, those with or without command auditory hallucinations reported similar rates of CSIB (3/22 vs. 28/137, Fisher’s exact p = .572).

After controlling for the CDSS scores (exclude item “suicidality”), lifetime suicide-attempt history, and other confounders, the multivariable logistic regression demonstrated that lifetime auditory hallucination experience (adjusted odds ratio [AOR] = 3.81; 95% CI: 1.45–10.05) or current auditory hallucination experience (AOR = 3.22; 95% CI: 1.25–8.28) can elevate the risk of CSIB (Table 2, Model 1 and Model 2). Lifetime SA history and higher CDSS scores were robustly associated with increased risk of CSIB.

Table 2.

The Presence and Severity of Auditory Hallucinations with Current Suicidal Ideation or Behavior Among Those with Schizophrenia.

Model 1
Model 2
Model 3
Model 4
Model 5
Variables AOR(95% CI) p AOR(95% CI) p AOR(95% CI) p AOR(95% CI) p AOR(95% CI) p
Age, years 1.04(0.99–1.09) .119 1.04(0.99–1.09) .117 1.03(0.97–1.09) .314 1.03(0.97–1.09) .326 1.03(0.97–1.09) .333
Male 2.77(1.13–6.79) b .026 2.74(1.11–6.73) .028 3(0.98–9.17) .055 3.49(1.09–11.17) .035 3.24(1.02–10.26) .046
Life-time auditory hallucinations 3.81(1.45–10.05) .007
Current auditory hallucinations 3.22(1.25–8.28) .015
PSYRATS-AH score a
 Physical domain 0.95(0.78–1.14) .560
 Emotional domain 0.87(0.76–1.00) .055
 Cognitive domain 0.83(0.68–1.00) .052
CDSS 1.30(1.19–1.42) <.001 1.29(1.18–1.42) <.001 1.35(1.18–1.54) < .001 1.40(1.21–1.61) < .001 1.38(1.2–1.59) < .001
Prior suicide attempts 4.98(1.91–13.03) .001 4.73(1.81–12.32) .001 3.94(1.24–12.57) .020 4.63(1.4–15.33) .012 4.39(1.34–14.39) .015
PANSS-P 1.00(0.91–1.09) .978 1(0.91–1.09) .941 0.97(0.87–1.08) .594 0.97(0.87–1.09) .636 1.00(0.89–1.12) .950
Antidepressants use 6.41(1.32–31.09) .021 6.29(1.30–30.40) .022 0.76(0.07–8.09) .819 0.68(0.07–6.83) .740 0.96(0.09–9.94) .973
Illness duration, years 0.97(0.92–1.03) .288 0.97(0.92–1.03) .386 0.99(0.92–1.07) .860 0.98(0.91–1.07) .712 0.99(0.91–1.07) .754
n 299 299 195 195 195

Abbreviations: PSYRATS-AH = the auditory hallucinations subscale of the Psychotic Symptom Rating Scale; CDSS = Calgary Depression Scale for Schizophrenia (except the item 8 “Suicidal history”); PANSS-P = the Positive and Negative Syndrome Scale – Positive symptom subscale (except the item “P3 hallucinations”); AOR = adjusted odds ratio, 95% CI = 95% confidence intervals.

Note:

a.

The PSYRATS-AH score was only measured in those with current auditory hallucinations.

b.

Results statistically significant at p < .05 level are in bold.

Then, we repeated the logistic regression and found that each domain score of the PSYRATS-AH was not associated with the presence of CSIB among those with current auditory hallucinations (Table 2, Models 3–5).

Auditory Hallucinations and Depressive Symptoms

Multivariable linear regression did not find that the lifetime or current presence of auditory hallucinations was significantly correlated with total CDSS score (except item “suicidality”) after adjusting for the age, sex, prior SAs, positive symptoms, antidepressants use, and the duration of illness (Table 3, Model 1 & Model 2). For each domain within the PSYRATS-AH, only the emotional characteristic domain score of the PSYRATS-AH was positively correlated with the CDSS score among those with current auditory hallucinations (adjusted B = 0.27, p = .003, Table 3 Model 4); however, the other two domain scores of the PSYRATS-AH score were not associated with the CDSS score.

Table 3.

The Presence and Severity of Auditory Hallucinations with the Score of the Calgary Depression Scale for Schizophrenia Among Those with Schizophrenia. a

Variables Model 1
Model 2
Model 3
Model 4
Model 5
B p B p B p B p B p
Age, years −0.03 (.272) −0.03 (.288) −0.02 (.534) −0.02 (.516) −0.02 (.544)
Male −0.51 (.316) −0.52 (.308) −0.60 (.398) −0.77 (.264) −0.63 (.376)
Life-time auditory hallucinations 0.34 (.494)
Current auditory hallucinations 0.47 (.351)
PSYRATS-AH score b
 Physical domain −0.05 (.673)
 Emotional domain 0.27 (.003)
 Cognitive domain 0.04 (.779)
Prior suicide attempts 2.69 c (.001) 2.66 (.001) 3.14 (.002) 2.79 (.005) 3.16 (.002)
PANSS-P 0.03 (.573) 0.03 (.606) 0.02 (.765) −0.01 (.832) 0.01 (0.874)
Antidepressants use 4.48 (< .001) 4.48 (< .001) 6.62 (< .001) 6.96 (< .001) 6.63 (< .001)
Illness duration, years −0.02 (.524) −0.02 (.570) −0.02 (.755) 0.01 (.858) −0.01 (.782)
n 299 299 195 195 195

Abbreviations: PSYRATS-AH = the auditory hallucinations subscale of the Psychotic Symptom Rating Scale; PANSS-P = the Positive and Negative Syndrome Scale – Positive symptom subscale (except the item “P3 hallucinations”).

Note:

a.

The score of Calgary Depression Scale for Schizophrenia excluded the score of item 8 “Suicidal history”.

b.

The PSYRATS-AH score was only measured in those with current auditory hallucinations.

c.

Results statistically significant at p < .05 level are in bold.

Then, we used path analysis to explore the mediation effect of “Emotional characteristic domain score of the PSYRATS-AH → CDSS score → CSIB.” We compared models and the final model (with the smallest AIC and BIC) only controlled sex, history of suicide attempt, and use of antidepressants. The indirect effect of the CDSS scores was small and significant (indirect effect size, bias-corrected 95% CI, 0.02–0.20) among those with current auditory hallucinations. The total effect (bias-corrected 95% CI, −0.20–0.09) and direct effect (bias-corrected 95% CI, −0.30–0.002) of emotional characteristics domain score on the CSIB were nonsignificant.

Discussion

Prevention of possible SI or SA is critical in treating schizophrenia. This study demonstrated that patients with schizophrenia who experienced auditory hallucinations recently or in their whole life were approximately three times as likely to exhibit CSIB than those without such auditory hallucinations. This effect was independent of depressive symptoms and lifetime SA. Although we did not find a dose-response association between the severity of auditory hallucination and the possibility of CSIB, more negative emotion about auditory hallucinations was related to more severe depressive symptoms.

Auditory Hallucinations and CSIB

The presence of auditory hallucinations was associated with an increased possibility of CSIB while controlling for depressive symptoms and lifetime SA history. The association effect of the lifetime or current auditory hallucinations was similar in magnitude. Our findings further studied the association between the presence of hallucinations and recent suicide thoughts and plans (Bornheimer, 2019; Bornheimer & Jaccard, 2017; Kjelby et al., 2015; Madsen & Nordentoft, 2012; Wong et al., 2013) and differentiated auditory hallucinations. Compared to their research, our strength was that the lifetime SA history was controlled, and we found that the presence of auditory hallucinations raised the average risk of CSIB slightly lower than previous SA. Another novel feature was that we found the presence of auditory hallucinations directly increased the risk of CSIB rather than elevating depressive symptoms. Moreover, the association between the presence of auditory hallucinations and CSIB was in line with findings in general populations (Bromet et al., 2017; Yates et al., 2019) and individuals with other mental disorders (Slotema et al., 2017). Thus, the auditory hallucination experience is a marker for a higher risk of CSIB across groups.

There are several explanations for the association between the auditory hallucination experience and CSIB. First, experiencing psychosis symptoms and engaging with treatment can relate to stress (DeVylder & Hilimire, 2015), and stress may lead to CSIB (DeVylder & Hilimire, 2015). Also, auditory hallucinations can cause greater disruption in daily life (Badcock, Paulik, & Maybery, 2011). Second, command auditory hallucinations increase self-harm behavior (Harkavy-Friedman et al., 2003; Wong et al., 2013). However, the evidence is insufficient enough because both our study and previous studies had small numbers of persons suffering command auditory hallucinations. Moreover, we did not find a bivariate association between command auditory hallucinations and CSIB. Third, emotional childhood trauma predicts negative auditory hallucinations (Scott, Rossell, Meyer, Toh, & Thomas, 2020), and those with trauma always have a stronger risk for SA (Alli et al., 2019). Fourth, neuroimaging studies have identified individuals with schizophrenia and lifetime history of SA had thinning of cortical thickness and decreased gray matter in the temporal region, which is highly associated with auditory hallucinations, compared with patients without SA history (Aguilar et al., 2008; Besteher et al., 2016).

Additionally, we measured the severity of current auditory hallucinations using a structured scale. The findings from the subscale of the PSYRATS-AH did not show a dose-response effect. Especially, a direct association between auditory-hallucination-related negative emotions and CSIB was not found. This result was contrary to expectations and the findings of a study in psychosis (Fialko et al., 2006). The first explanation may be a small sample size because the p-value of emotion domain score in the regression was near 0.05. Second, we only included those with current experiencing auditory hallucinations while analyzing the association between auditory hallucination characteristics and the likelihood of CSIB. Third, self-reported distress related to auditory hallucinations may overlap with depressive symptoms, and our analysis added depressive symptoms as a confounder but previous research did not (Fialko et al., 2006).

Among those with current auditory hallucinations, a poor cognitive interpretation was not found to be associated with CSIB. Our findings support previous evidence on the nonsignificant bivariate association of cognitive-related item score in the PSYRATS-AH and suicide ideation (Fialko et al., 2006). However, there was a strong tendency towards statistical significance that the increased cognitive domain score of the PSYRATS-AH was a protective factor of the CSIB. Higher scores on the cognition interpretation domain of the PSYRATS-AH may suggest the patient has poorer ability in reality testing. Then, severe psychopathology status and cognition dysfunction may limit their thinking on ending their lives (Bredemeier & Miller, 2015). Moreover, according to the “insight paradox”(Lysaker, Roe, & Yanos, 2007), poor insight is associated with fewer depressive symptoms (Belvederi Murri et al., 2016; Belvederi Murri et al., 2015) and less CSIB (Barrett et al., 2015; Bornheimer et al., 2021). The reason may be that increased awareness of their illness at the early stage of illness may bring hopelessness for treatment and life, stigma, and identity loss (Lysaker et al., 2007).

Other Associated Factors of CSIB

Depressive symptoms, robust risk factors for suicide in schizophrenia (Cassidy et al., 2018; Popovic et al., 2014), were associated with an increased risk for CSIB. The association between depressive symptoms and CSIB was consistent with a previous study in outpatients with schizophrenia (Yan et al., 2013). We also showed that a history of SA can increase the risk of CSIB, in line with previous reports (Cassidy et al., 2018; Coentre, Talina, Gois, & Figueira, 2017).

Auditory Hallucinations and Depressive Symptoms

Negative emotions linked to auditory-hallucination were positively associated with depressive mood. The emotional characteristics domain in the PSYRATS-AH, measuring the amount and intensity of negative content or distressing feels caused by auditory hallucinations, were the subjective affective response or “cognitive appraisal” (Mawson et al., 2010). Bivariate association of distress dimension of auditory hallucinations and depressive symptoms has been reported (Steel et al., 2007). New in our study is the finding that the significant association was independent of the history of SAs.

Contrary to previous research (Bornheimer et al., 2019; Jang et al., 2014), we did not find depressive symptoms to be a mediator between auditory hallucinations experience and CSIB. The indirect effect of depressive symptoms on the association between emotional distress of auditory hallucinations and CSIB highlights the importance of distress caused by auditory hallucination. This result was similar to the findings in community samples (Jang et al., 2014; Bornheimer et al., 2019). However, its effect may not be robust enough when we examine the variable's statistical significance and effect size. The mediation analysis was conducted in 159 patients with auditory hallucinations, which may lead to low statistical power. In addition, this preliminary finding using cross-sectional mediation suggests a cohort study be necessary to explore whether depressive symptoms are mediators in the association between emotional appraisal of auditory hallucinations and CSIB.

Implications

The data contributes a clearer understanding of psychotic symptoms and suicidal risk in schizophrenia. When evaluating suicide risk in patients with schizophrenia, we should consider both traditional suicide factors, such as depressive symptoms and SA history, and the occurrence of auditory hallucinations. Using the items related to the emotional characteristic domain in the PSYRATS-AH may therefore benefit suicide risk assessment. These results build on existing evidence of hallucinations and suicide risk among general populations (Kelleher et al., 2013). Moreover, preventing suicidality in patients with schizophrenia should involve shortening untreated durations and using antipsychotics to treat auditory hallucination symptoms. Using clozapine may reduce the risk for recurrent suicidal behavior (American Psychiatric Association, 2021). In addition, therapists can guide patients to change biased emotion appraisal to auditory hallucinations, which may decrease depressive symptoms and suicide risk.

Strengths and limitations

The first strength is that we removed suicidal items from the sum scores of the CDSS when adjusting for depressive symptoms in the association between psychotic experiences and suicidal outcomes. Second, we controlled other positive symptoms and SA history as confounders. Finally, a multi-domain scale was used to measure the severity of auditory hallucinations.

This study has several limitations. First, the cross-sectional design did not allow us to infer causation, although we used path analysis to infer directionality. The temporal sequence of the recent hallucination and CSIB can be inferred. Our preliminary mediation findings ignored other temporal precedence and variables’ change over time. To find unbiased estimates, a longitudinal examination of the relationships would be necessary (Maxwell & Cole, 2007; Maxwell, Cole, & Mitchell, 2011). Second, as the limited sample size, the confidence intervals were wide for some estimates. Third, patients came from one site in a routine clinical practice setting, potentially introducing selection biases and limiting generalization. Fourth, stigma may lead to possible bias in the disclosure of SI or suicidal plans.

Conclusions

The lifetime and current occurrence of auditory hallucinations among individuals with schizophrenia play important role in CSIB independent of depressive symptoms and lifetime SA history. The severity of auditory hallucination was not found to be associated with an increased risk of CSIB. Emotional distress caused by auditory hallucinations was positively related to depressive symptoms. It suggests that suicide risk assessment for patients with schizophrenia should consider the presence of the auditory hallucination experience. Cohort studies should further advance our understanding of the mechanisms that increase subsequent suicide risk in people with auditory hallucinations.

Supplementary Material

Supp 1

Highlights.

  • The presence of auditory hallucinations was associated with current suicidality.

  • Auditory hallucinations’ emotional severity was related to depressive symptoms.

  • The severity of auditory hallucination was not directly associated with suicidality.

Acknowledgments:

This work was supported by the National Natural Science Foundation of China (Y. Tan, 81761128021, 81771452), Beijing Natural Science Foundation (Y. Tan, 7151005), the National Institutes of Health (L. E. Hong, R01MH112180). Funders have no roles in data analysis, interpretation of the findings, or decision to publish the findings.

Footnotes

Conflict of interest: Dr. Hong has received or is planning to receive research funding or consulting fees from Mitsubishi, Your Energy Systems LLC, Neuralstem, Taisho, Heptares, Pfizer, Sound Pharma, Luye Pharma, Takeda, and Regeneron. None was involved in the design, analysis, or outcomes of the study. Other authors declare that the research was conducted without any relationships that could be interpreted as a potential conflict of interest or financial conflict.

Electronic Supplementary Material

ESM 1. Tables S1 (Supplement_Hallucination and suicidality.doc)

Reference

  1. Addington D, Addington J, & Maticka-Tyndale E (1993). Assessing depression in schizophrenia: The Calgary Depression Scale. British Journal of Psychiatry, Suppl(22), 39–44. [PubMed] [Google Scholar]
  2. Aguilar EJ, Garcia-Marti G, Marti-Bonmati L, Lull JJ, Moratal D, Escarti MJ, … Sanjuan J (2008). Left orbitofrontal and superior temporal gyrus structural changes associated to suicidal behavior in patients with schizophrenia. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 32(7), 1673–1676. doi: 10.1016/j.pnpbp.2008.06.016 [DOI] [PubMed] [Google Scholar]
  3. Alli S, Tasmim S, Adanty C, Graff A, Strauss J, Zai C, … De Luca V (2019). Childhood trauma predicts multiple, high lethality suicide attempts in patients with schizophrenia. Psychiatry Research, 281, 112567. doi: 10.1016/j.psychres.2019.112567 [DOI] [PubMed] [Google Scholar]
  4. American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorders: DSM-IV. Washington, DC: American Psychiatric Association. [Google Scholar]
  5. American Psychiatric Association. (2021). The American psychiatric association practice guideline for the treatment of patients with schizophrenia (Third ed.). Washington, DC: American Psychiatric Association. [Google Scholar]
  6. Badcock JC, Paulik G, & Maybery MT (2011). The role of emotion regulation in auditory hallucinations. Psychiatry Research, 185(3), 303–308. doi: 10.1016/j.psychres.2010.07.011 [DOI] [PubMed] [Google Scholar]
  7. Barrett EA, Mork E, Færden A, Nesvåg R, Agartz I, Andreassen OA, & Melle I (2015). The development of insight and its relationship with suicidality over one year follow-up in patients with first episode psychosis. Schizophrenia Research, 162(1-3), 97–102. doi: 10.1016/j.schres.2015.01.004 [DOI] [PubMed] [Google Scholar]
  8. Belvederi Murri M, Amore M, Calcagno P, Respino M, Marozzi V, Masotti M, … Maj M (2016). The "insight paradox" in schizophrenia: Magnitude, moderators and mediators of the association between insight and depression. Schizophrenia Bulletin, 42(5), 1225–1233. doi: 10.1093/schbul/sbw040 [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Belvederi Murri M, Respino M, Innamorati M, Cervetti A, Calcagno P, Pompili M, … Amore M (2015). Is good insight associated with depression among patients with schizophrenia? Systematic review and meta-analysis. Schizophrenia Research, 162(1-3), 234–247. doi: 10.1016/j.schres.2015.01.003 [DOI] [PubMed] [Google Scholar]
  10. Besteher B, Wagner G, Koch K, Schachtzabel C, Reichenbach JR, Schlosser R, … Schultz CC (2016). Pronounced prefronto-temporal cortical thinning in schizophrenia: Neuroanatomical correlate of suicidal behavior? Schizophrenia Research, 176(2-3), 151–157. doi: 10.1016/j.schres.2016.08.010 [DOI] [PubMed] [Google Scholar]
  11. Bornheimer LA (2019). Suicidal ideation in first-episode psychosis (FEP): Examination of symptoms of depression and psychosis among individuals in an early phase of treatment. Suicide and Life-Threatening Behavior, 49(2), 423–431. doi: 10.1111/sltb.12440 [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Bornheimer LA, & Jaccard J (2017). Symptoms of depression, positive symptoms of psychosis, and suicidal ideation among adults diagnosed with schizophrenia within the clinical antipsychotic trials of intervention effectiveness. Archives of Suicide Research, 21(4), 633–645. doi: 10.1080/13811118.2016.1224990 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Bornheimer LA, Wojtalik JA, Li J, Cobia D, & Smith MJ (2021). Suicidal ideation in first-episode psychosis: Considerations for depression, positive symptoms, clinical insight, and cognition. Schizophrenia Research, 228, 298–304. doi: 10.1016/j.schres.2020.12.025 [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Bornheimer LA, Zhang A, Tarrier N, Li J, Ning Y, & Himle JA (2019). Depression moderates the relationships between hallucinations, delusions, and suicidal ideation: The cumulative effect of experiencing both hallucinations and delusions. Journal of Psychiatric Research, 116, 166–171. doi: 10.1016/j.jpsychires.2019.06.014 [DOI] [PubMed] [Google Scholar]
  15. Bredemeier K, & Miller IW (2015). Executive function and suicidality: A systematic qualitative review. Clinical Psychology Review, 40, 170–183. doi: 10.1016/j.cpr.2015.06.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Bromet EJ, Nock MK, Saha S, Lim CCW, Aguilar-Gaxiola S, Al-Hamzawi A, … for the World Health Organization World Mental Health Survey Collaborators. (2017). Association between psychotic experiences and subsequent suicidal thoughts and behaviors a cross-national analysis from the World Health Organization World Mental Health Surveys. JAMA Psychiatry, 74(11), 1136–1144. doi: 10.1001/jamapsychiatry.2017.2647 [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Capra C, Kavanagh DJ, Hides L, & Scott JG (2015). Subtypes of psychotic-like experiences are differentially associated with suicidal ideation, plans and attempts in young adults. Psychiatry Research, 228(3), 894–898. doi: 10.1016/j.psychres.2015.05.002 [DOI] [PubMed] [Google Scholar]
  18. Cassidy RM, Yang F, Kapczinski F, & Passos IC (2018). Risk factors for suicidality in patients with schizophrenia: A systematic review, meta-analysis, and meta-regression of 96 studies. Schizophrenia Bulletin, 44(4), 787–797. doi: 10.1093/schbul/sbx131 [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Chadwick P, & Birchwood M (1994). The omnipotence of voices. A cognitive approach to auditory hallucinations. British Journal of Psychiatry, 164(2), 190–201. doi: 10.1192/bjp.164.2.190 [DOI] [PubMed] [Google Scholar]
  20. Coentre R, Talina MC, Gois C, & Figueira ML (2017). Depressive symptoms and suicidal behavior after first-episode psychosis: A comprehensive systematic review. Psychiatry Research, 253, 240–248. doi: 10.1016/j.psychres.2017.04.010 [DOI] [PubMed] [Google Scholar]
  21. de Leede-Smith S, & Barkus E (2013). A comprehensive review of auditory verbal hallucinations: Lifetime prevalence, correlates and mechanisms in healthy and clinical individuals. Frontiers in Human Neuroscience, 7, 367. doi: 10.3389/fnhum.2013.00367 [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. DeVylder JE, & Hilimire MR (2015). Suicide risk, stress sensitivity, and self-esteem among young adults reporting auditory hallucinations. Health and Social Work, 40(3), 175–181. doi: 10.1093/hsw/hlv037 [DOI] [PubMed] [Google Scholar]
  23. DeVylder JE, Lukens EP, Link BG, & Lieberman JA (2015). Suicidal ideation and suicide attempts among adults with psychotic experiences: Data from the collaborative psychiatric epidemiology surveys. JAMA Psychiatry, 72(3), 219–225. doi: 10.1001/jamapsychiatry.2014.2663 [DOI] [PubMed] [Google Scholar]
  24. Fialko L, Freeman D, Bebbington PE, Kuipers E, Garety PA, Dunn G, & Fowler D (2006). Understanding suicidal ideation in psychosis: Findings from the psychological prevention of relapse in psychosis (PRP) trial. Acta Psychiatrica Scandinavica, 114(3), 177–186. doi: 10.1111/j.1600-0447.2006.00849.x [DOI] [PubMed] [Google Scholar]
  25. Foster T (2015). Schizophrenia and bipolar disorder: No recovery without suicide prevention. British Journal of Psychiatry, 207(5), 371–372. doi: 10.1192/bjp.bp.115.165944 [DOI] [PubMed] [Google Scholar]
  26. Haddock G, McCarron J, Tarrier N, & Faragher EB (1999). Scales to measure dimensions of hallucinations and delusions: The psychotic symptom rating scales (PSYRATS). Psychological Medicine, 29(4), 879–889. doi: 10.1017/s0033291799008661 [DOI] [PubMed] [Google Scholar]
  27. Harkavy-Friedman JM, Kimhy D, Nelson EA, Venarde DF, Malaspina D, & Mann JJ (2003). Suicide attempts in schizophrenia: The role of command auditory hallucinations for suicide. Journal of Clinical Psychiatry, 64(8), 871–874. [PubMed] [Google Scholar]
  28. He Y, & Zhang M (2000). Yang xing yin xing zheng zhuang de zhong guo chang mo he yin zi fen xi [the Chinese norm and factor analysis of PANSS]. Chin J Clin Psychol, 8(2), 65–69. doi: 10.3969/j.issn.1005-3611.2000.02.001 [DOI] [Google Scholar]
  29. Hielscher E, Connell M, Lawrence D, Zubrick SR, Hafekost J, & Scott JG (2018). Prevalence and correlates of psychotic experiences in a nationally representative sample of australian adolescents. Australian and New Zealand Journal of Psychiatry, 52(8), 768–781. doi: 10.1177/0004867418785036 [DOI] [PubMed] [Google Scholar]
  30. Hielscher E, Connell M, Lawrence D, Zubrick SR, Hafekost J, & Scott JG (2019). Association between psychotic experiences and non-accidental self-injury: Results from a nationally representative survey of adolescents. Social Psychiatry and Psychiatric Epidemiology, 54(3), 321–330. doi: 10.1007/s00127-018-1629-4 [DOI] [PubMed] [Google Scholar]
  31. Hielscher E, DeVylder J, Hasking P, Connell M, Martin G, & Scott JG (2020). Mediators of the association between psychotic experiences and future non-suicidal self-injury and suicide attempts: Results from a three-wave, prospective adolescent cohort study. European Child and Adolescent Psychiatry. doi: 10.1007/s00787-020-01593-6 [DOI] [PubMed] [Google Scholar]
  32. Hielscher E, DeVylder JE, Saha S, Connell M, & Scott JG (2018). Why are psychotic experiences associated with self-injurious thoughts and behaviours? A systematic review and critical appraisal of potential confounding and mediating factors. Psychological Medicine, 48(9), 1410–1426. doi: 10.1017/S0033291717002677 [DOI] [PubMed] [Google Scholar]
  33. Honings S, Drukker M, Groen R, & van Os J (2016). Psychotic experiences and risk of self-injurious behaviour in the general population: A systematic review and meta-analysis. Psychological Medicine, 46(2), 237–251. doi: 10.1017/S0033291715001841 [DOI] [PubMed] [Google Scholar]
  34. Jang JH, Lee YJ, Cho SJ, Cho IH, Shin NY, & Kim SJ (2014). Psychotic-like experiences and their relationship to suicidal ideation in adolescents. Psychiatry Research, 215(3), 641–645. doi: 10.1016/j.psychres.2013.12.046 [DOI] [PubMed] [Google Scholar]
  35. Kay SR, Fiszbein A, & Opler LA (1987). The positive and negative syndrome scale (PANSS) for schizophrenia. Schizophrenia Bulletin, 13(2), 261–276. doi: 10.1093/schbul/13.2.261 [DOI] [PubMed] [Google Scholar]
  36. Kelleher I, Corcoran P, Keeley H, Wigman JT, Devlin N, Ramsay H, … Cannon M (2013). Psychotic symptoms and population risk for suicide attempt: A prospective cohort study. JAMA Psychiatry, 70(9), 940–948. doi: 10.1001/jamapsychiatry.2013.140 [DOI] [PubMed] [Google Scholar]
  37. Kelleher I, Devlin N, Wigman JT, Kehoe A, Murtagh A, Fitzpatrick C, & Cannon M (2014). Psychotic experiences in a mental health clinic sample: Implications for suicidality, multimorbidity and functioning. Psychological Medicine, 44(8), 1615–1624. doi: 10.1017/S0033291713002122 [DOI] [PubMed] [Google Scholar]
  38. Kjelby E, Sinkeviciute I, Gjestad R, Kroken RA, Loberg EM, Jorgensen HA, … Johnsen E (2015). Suicidality in schizophrenia spectrum disorders: The relationship to hallucinations and persecutory delusions. European Psychiatry, 30(7), 830–836. doi: 10.1016/j.eurpsy.2015.07.003 [DOI] [PubMed] [Google Scholar]
  39. Ko YS, Tsai H-C, Chi MH, Su C-C, Lee IH, Chen PS, … Yang YK (2018). Higher mortality and years of potential life lost of suicide in patients with schizophrenia. Psychiatry Research, 270, 531–537. doi: 10.1016/j.psychres.2018.09.038 [DOI] [PubMed] [Google Scholar]
  40. Laroi F, Sommer IE, Blom JD, Fernyhough C, Ffytche DH, Hugdahl K, … Waters F (2012). The characteristic features of auditory verbal hallucinations in clinical and nonclinical groups: State-of-the-art overview and future directions. Schizophrenia Bulletin, 38(4), 724–733. doi: 10.1093/schbul/sbs061 [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Lim A, Hoek HW, Deen ML, & Blom JD (2016). Prevalence and classification of hallucinations in multiple sensory modalities in schizophrenia spectrum disorders. Schizophrenia Research, 176(2-3), 493–499. doi: 10.1016/j.schres.2016.06.010 [DOI] [PubMed] [Google Scholar]
  42. Liu H, Zhang H, Xiao W, Liu Q, Fu P, Chen J, … Li L (2009). Scales for evaluating depressive symptoms in Chinese patients with schizophrenia. Journal of Nervous and Mental Disease, 197(2), 140–142. doi: 10.1097/NMD.0b013e31819636a5 [DOI] [PubMed] [Google Scholar]
  43. Løberg EM, Gjestad R, Posserud MB, Kompus K, & Lundervold AJ (2019). Psychosocial characteristics differentiate non-distressing and distressing voices in 10,346 adolescents. European Child and Adolescent Psychiatry, 28(10), 1353–1363. doi: 10.1007/s00787-019-01292-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Lu L, Dong M, Zhang L, Zhu XM, Ungvari GS, Ng CH, … Xiang YT (2019). Prevalence of suicide attempts in individuals with schizophrenia: A meta-analysis of observational studies. Epidemiology and Psychiatric Sciences, 29, e39. doi: 10.1017/S2045796019000313 [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Lysaker PH, Roe D, & Yanos PT (2007). Toward understanding the insight paradox: Internalized stigma moderates the association between insight and social functioning, hope, and self-esteem among people with schizophrenia spectrum disorders. Schizophrenia Bulletin, 33(1), 192–199. doi: 10.1093/schbul/sbl016 [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Madsen T, & Nordentoft M (2012). Suicidal changes in patients with first episode psychosis: Clinical predictors of increasing suicidal tendency in the early treatment phase. Early Intervention in Psychiatry, 6(3), 292–299. doi: 10.1111/j.1751-7893.2011.00284.x [DOI] [PubMed] [Google Scholar]
  47. Mawson A, Cohen K, & Berry K (2010). Reviewing evidence for the cognitive model of auditory hallucinations: The relationship between cognitive voice appraisals and distress during psychosis. Clinical Psychology Review, 30(2), 248–258. doi: 10.1016/j.cpr.2009.11.006 [DOI] [PubMed] [Google Scholar]
  48. Maxwell SE, & Cole DA (2007). Bias in cross-sectional analyses of longitudinal mediation. Psychological Methods, 12(1), 23–44. doi: 10.1037/1082-989X.12.1.23 [DOI] [PubMed] [Google Scholar]
  49. Maxwell SE, Cole DA, & Mitchell MA (2011). Bias in cross-sectional analyses of longitudinal mediation: Partial and complete mediation under an autoregressive model. Multivariate Behav Res, 46(5), 816–841. doi: 10.1080/00273171.2011.606716 [DOI] [PubMed] [Google Scholar]
  50. Nishida A, Sasaki T, Nishimura Y, Tanii H, Hara N, Inoue K, … Okazaki Y (2010). Psychotic-like experiences are associated with suicidal feelings and deliberate self-harm behaviors in adolescents aged 12-15 years. Acta Psychiatrica Scandinavica, 121(4), 301–307. doi: 10.1111/j.1600-0447.2009.01439.x [DOI] [PubMed] [Google Scholar]
  51. Paulik G (2012). The role of social schema in the experience of auditory hallucinations: A systematic review and a proposal for the inclusion of social schema in a cognitive behavioural model of voice hearing. Clinical Psychology & Psychotherapy, 19(6), 459–472. doi: 10.1002/cpp.768 [DOI] [PubMed] [Google Scholar]
  52. Popovic D, Benabarre A, Crespo JM, Goikolea JM, Gonzalez-Pinto A, Gutierrez-Rojas L, … Vieta E (2014). Risk factors for suicide in schizophrenia: Systematic review and clinical recommendations. Acta Psychiatrica Scandinavica, 130(6), 418–426. doi: 10.1111/acps.12332 [DOI] [PubMed] [Google Scholar]
  53. Ran MS, Mao WJ, Chan CL, Chen EY, & Conwell Y (2015). Gender differences in outcomes in people with schizophrenia in rural China: 14-year follow-up study. British Journal of Psychiatry, 206(4), 283–288. doi: 10.1192/bjp.bp.113.139733 [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Scott M, Rossell SL, Meyer D, Toh WL, & Thomas N (2020). Childhood trauma, attachment and negative schemas in relation to negative auditory verbal hallucination (avh) content. Psychiatry Research, 290, 112997. doi: 10.1016/j.psychres.2020.112997 [DOI] [PubMed] [Google Scholar]
  55. Slotema CW, Niemantsverdriet MB, Blom JD, van der Gaag M, Hoek HW, & Sommer IE (2017). Suicidality and hospitalisation in patients with borderline personality disorder who experience auditory verbal hallucinations. European Psychiatry, 41, 47–52. doi: 10.1016/j.eurpsy.2016.10.003 [DOI] [PubMed] [Google Scholar]
  56. Steel C, Garety PA, Freeman D, Craig E, Kuipers E, Bebbington P, … Dunn G (2007). The multidimensional measurement of the positive symptoms of psychosis. International Journal of Methods in Psychiatric Research, 16(2), 88–96. doi: 10.1002/mpr.203 [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Wang TT, Beckstead JW, & Yang CY (2019). Social interaction skills and depressive symptoms in people diagnosed with schizophrenia: The mediating role of auditory hallucinations. International Journal of Mental Health Nursing, 28(6), 1318–1327. doi: 10.1111/inm.12643 [DOI] [PubMed] [Google Scholar]
  58. Wong Z, Ongur D, Cohen B, Ravichandran C, Noam G, & Murphy B (2013). Command hallucinations and clinical characteristics of suicidality in patients with psychotic spectrum disorders. Comprehensive Psychiatry, 54(6), 611–617. doi: 10.1016/j.comppsych.2012.12.022 [DOI] [PubMed] [Google Scholar]
  59. Xu Z, Li Z, Guo Z, Chen Q, & Zhang Y (2012). Reliability and validity of the Chinese version of the psychotic symptom rating scales. Chinese Journal of Clinical Psychology, 20(4), 445–447. doi: 10.16128/j.cnki.1005-3611.2012.04.034 [DOI] [Google Scholar]
  60. Yan F, Xiang YT, Hou YZ, Ungvari GS, Dixon LB, Chan SS, … Chiu HF (2013). Suicide attempt and suicidal ideation and their associations with demographic and clinical correlates and quality of life in Chinese schizophrenia patients. Social Psychiatry and Psychiatric Epidemiology, 48(3), 447–454. doi: 10.1007/s00127-012-0555-0 [DOI] [PubMed] [Google Scholar]
  61. Yates K, Lång U, Cederlöf M, Boland F, Taylor P, Cannon M, … Kelleher I (2019). Association of psychotic experiences with subsequent risk of suicidal ideation, suicide attempts, and suicide deaths: A systematic review and meta-analysis of longitudinal population studies. JAMA Psychiatry, 76(2), 180–189. doi: 10.1001/jamapsychiatry.2018.3514 [DOI] [PMC free article] [PubMed] [Google Scholar]

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