- 1Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- 2Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
Background: Suicide is the primary cause of death in patients with major depressive disorder (MDD) or bipolar disorder (BD). Among various personality traits, neuroticism is particularly relevant to suicide risk. However, its role in MDD and BD has not been examined sufficiently. This study characterized neuroticism in patients with MDD or BD, and analyzed the association between neuroticism and suicide risk in these patients.
Methods: This study collected demographic information and personality traits of MDD and BD patients. Group differences were assessed using t-tests, chi-square tests, and Mann-Whitney U tests. To identify factors associated with suicide risk, correlation analysis was first conducted, followed by bivariate and generalized ordered logistic regression for significant variables, including neuroticism. Sensitivity analyses were performed by progressively excluding potential confounders to evaluate the robustness of neuroticism’s effect. Additionally, simple mediation analyses using a bootstrap approach were conducted to examine whether depressive symptoms mediated the association between neuroticism and suicide risk in MDD and BD separately. A two-tailed P < 0.05 was considered statistically significant.
Results: The study population comprised 88 MDD patients and 90 BD patients. Lifetime suicide risk was present in 39.3% of the study population. In the entire sample, neuroticism was significantly associated with both lifetime (r = 0.18, P = 0.018) and current suicide risk (r = 0.17, P = 0.024). In patients with MDD, through mediation analysis, neuroticism predicted both depressive symptom severity (B = 0.25, P < 0.001) and current suicide risk (B = 0.02, P = 0.022), while also indirectly influencing current suicide risk through depressive symptoms (B = 0.01, 95% CI = 0.01–0.02). In BD patients, neuroticism predicted depressive symptoms (B = 0.13, P = 0.002) but not current suicide risk (B < 0.01, P = 0.714), while depressive symptoms fully mediated this relationship (B = 0.06, P < 0.001).
Conclusion: Neuroticism plays a significant role in influencing suicide risk among MDD and BD, through its effect on depressive symptoms. Interventions for neuroticism can reduce depressive symptoms and suicide risk. This highlights the necessity of identification and management of neuroticism in suicide prevention strategies.
1 Introduction
Affective disorders (ADs) are highly prevalent disorders all over the world. Over 163 million people had major depressive disorder (MDD) in 2017 (1). In 2019, an estimated 280 million individuals worldwide were affected by depression, while approximately 40 million were diagnosed with bipolar disorder (BD) (2). MDD and BD are serious ADs that negatively impact normal and social life. Given the high prevalence and psychiatric severity, the associated suicide risk poses a serious public health concern. At the same time, the pathogenesis of each disorder involves multiple factors and complex pathological mechanisms that remain unclear.
Suicide is a severe outcome of ADs, including ideation, attempt, and completion. Completed suicide is defined as an intentional self-directed injurious act with the goal of self-imposed fatality. A suicide attempt is a nonfatal act driven by the intent to die. Whether suicide is only attempted or completed, each is preceded by suicidal ideation, that is, thinking about or planning death. Suicidal ideation is a strong predictor of suicide attempts and completed suicides (3).
Both BD and MDD are associated with a high risk of suicide. For example, a study reported that approximately 30% of BD patients attempt suicide at least once in their lifetime (4). Another study found that approximately 20% of patients with first-episode MDD in youth attempted suicide (5). According to Miola et al. (6), type II BD carries a greater suicide risk than MDD. Furthermore, patients with recurrent depression and those in the early stage of a major depressive episode are at an increased risk of suicidal behavior (7). However, another study found that in 87 patients with ADs, suicide attempts were more severe in the later course of the illness. Notably, the risk of suicide among adolescent MDD patients has been increasing annually (8). The high rate of suicide among patients with ADs calls for greater awareness and intervention from clinicians.
Beyond ADs, additional predictors of suicide include genetic factors, personality traits, gender, quality of social network, personal and interpersonal difficulties, and stressful life events (9–12). Personality characteristics have considerable influence on the emergence of suicidal behavior (10, 13). Eysenck’s personality theory classifies personality traits as neuroticism, extraversion, and psychoticism. The Eysenck Personality Questionnaire (EPQ) is a self-reported questionnaire grounded in Eysenck’s personality theory. In the EPQ, the neuroticism score reflects levels of anxiety, depression, and self-doubt. The score for psychoticism indicates the degree of egocentricity, impulsivity, hostility, and antisocial behavior. The extraversion scale measures a continuum from introversion to extraversion, incorporating classical temperament types: phlegmatic (introverted-stable), melancholic (introverted-unstable), sanguine (extraverted-stable), and choleric (extraverted-unstable) (14).
Brezo et al. (15) reported that neuroticism scores may serve as indicators of suicidal risk. Neuroticism increases the risk of suicide in both general populations and individuals with ADs, and remains a significant predictor among women with ADs (16). Lower emotional stability, reflected by high neuroticism, is associated with rumination and depressive symptoms, both of which are strongly linked to increased suicide risk (17). This finding aligns with the results of Bi et al. (18), indicating that higher neuroticism increases the risk of suicide attempts among individuals with psychiatric disorders. Individuals with elevated neuroticism are more sensitive to negative emotions and stress, which may exacerbate depressive symptoms and contribute to increased risk of suicide. In MDD, neuroticism may worsen mental health by aggravating core depressive symptoms, including concentration difficulties and fatigue (19).Research indicates that patients with chronic MDD exhibit elevated risk of suicide and higher neuroticism scores (20).
Compared to MDD, the link between neuroticism and suicide risk in BD is more complex, as neuroticism remains a stable trait that persists even during remission (21). High neuroticism is associated with poor emotional regulation and heightened susceptibility to depressive episodes. In BD, it is also linked to cognitive impairments, including difficulties with decision-making, category fluency, and response inhibition. These deficits impair social functioning and contribute to elevated risk of suicide. In BD, high neuroticism is associated with suicidal ideation in the absence of prior suicidal behavior, and is linked to increased risk of new-onset suicidal tendencies (22). A previous study (23) reported that BD episodes with mixed features, particularly agitation, tend to result in suicidal behaviors. This susceptibility contributes to elevated rates of suicidal ideation and behaviors during major depression or mixed episodes (24). However, evidence linking neuroticism to suicide risk in BD is limited and less conclusive than in MDD. Negative urgency, a facet of impulsivity, has been linked to both suicidal ideation and neuroticism in BD, but its neural basis remains unclear (25). In a longitudinal study, Kamali et al. (26) found that baseline personality traits did not predict suicide attempts in BD. However, neuroticism emerged as a predictor of suicidal ideation over the course of illness.
In summary, neuroticism, which is linked to both depressive symptoms and suicide risk, contributes to the elevated suicide risk observed in individuals with MDD or BD. However, how neuroticism specifically influences suicide risk in MDD and BD remains unclear. This study aimed to explore the relationship between neuroticism and suicide risk by examining the mediating role of depressive symptoms. It further examined how neuroticism and depressive symptoms interact in both lifetime and current suicide risk, with the goal of generating clinically relevant insights for targeted intervention and prognosis.
2 Methods
2.1 Participants
This cross-sectional study was approved by the ethics committee of Beijing Anding Hospital, Capital Medical University. Informed consent was obtained from all participants or their guardians.
From September 2014 to January 2016, 214 patients were recruited from the in- and outpatient departments at Beijing Anding Hospital, Capital Medical University, Beijing, China. For inclusion in this study, each patient had to be between 16 to 60 years old, and have obtained at least 9 years of education. Potential subjects with any of the following were excluded: pre-existing or current organic brain disorder (e.g., dementia, epilepsy, and brain injury), intellectual disability, ADs caused by physical illness, other psychiatric disorders (e.g., schizophrenia and drug-induced disorders), and an inability to complete the assessments.
Finally, the total study population comprised 178 patients, of whom 88 were diagnosed with MDD, and 90 with BD. The MDD and BD diagnoses were established using the Structured Clinical Interview for DSM-IV Axis I-Patient Edition (SCID-I/P) (27).
2.2 Clinical assessments
In this study, all scales were scored by clinical psychiatrists with extensive experience who were specially trained to administer standardized instruments, including the SCID-I/P, HAMD-17, and EPQ. Before formal assessments commenced, evaluators independently rated a set of training cases, with any discrepancies resolved through consensus discussions. To maintain reliability throughout the study, regular quality control measures were implemented. Specifically, 10% of the assessments were randomly selected for re-evaluation by an independent rater who was blinded to the original scores. Additionally, periodic refresher training sessions were conducted to mitigate rater drift.
2.3 Lifetime suicide risk
This study assessed 3 dimensions of lifetime suicide risk: ideation, attempt, and behavior. These aspects were assessed qualitatively based on the self-reported responses of the subjects (with MDD or BD) to the following questions in the SCID-I/P: “Have you ever had or do you currently have suicidal ideation?”, “Have you ever attempted suicide in the past or recently?”, and “Have you ever committed or are you currently committing suicidal behavior?”. Utilizing structured clinical interviews with the SCID-I/P allows for the documentation of all suicide-related experiences throughout a patient’s lifetime, facilitated an in-depth exploration of the context and motivations for each suicidal behavior. This comprehensive lifetime assessment significantly enhanced the reliability and consistency of the data. In this study, suicidal behavior was defined as self-injurious acts performed with a clear intent to die. Acts of non-suicidal self-injury were excluded from this classification.
2.4 Current suicide risk
Current suicide risk was assessed using the item concerning suicide in the 17-item Hamilton Depression Rating Scale (HAMD-17). HAMD-17 is widely used to assess the severity of depression and the major symptoms of MDD, including mood, feelings of guilt, suicidal ideation, insomnia, anxiety, weight loss, and somatic symptoms (28). Researchers consider this scale to be accurate, reliable, and valid when applied in clinical studies (29). The present study stratified an individual’s current suicide risk (i.e., the suicide risk at present and in the past 1 week) into the following 5 levels, from mild to severe: “Absent”; “Feels life is not worth living”; “Wishes he/she were dead or any thoughts of possible self-inflicted death”; “Ideas or gestures of suicide”; and “Attempts at suicide” (28, 30, 31).
2.5 Eysenck personality questionnaire
The EPQ is a self-reported personality test covering mainly three personality domains, each of which is measured on a continuum: psychoticism, extraversion, and neuroticism (EPQ-P, EPQ-E, and EPQ-N, respectively). Altogether, the EPQ comprises 88 items, with 23, 24, and 21 items applied to the psychoticism, extraversion, and neuroticism domains, respectively. An additional lie scale comprises 20 items, in which lying is determined when the respondent identifies rarely performed desirable acts as typical, and denies common non-desirable acts (32). The respondent answers “yes” or “no” to each question. The EPQ is considered highly reliable and valid, with no differences in gender, and is widely used in medical research (33, 34).
2.6 Statistical analysis
IBM SPSS Statistics version 23.0 for Windows (SPSS, Chicago, IL, USA) was employed for data analyses. For the evaluation of demographic and other patient characteristics, the t-test was used to examine the following continuous variables in 2 independent samples: age; years of education; and the EPQ-P, EPQ-E, EPQ-N, EPQ-L and PHQ-9 scores. The chi-square test was used to compare the dichotomous variables gender, diagnosis, residential and marital status and employment. The Mann-Whitney U test was applied to test for disease duration in 2 independent samples in which the distribution was not normal. Spearman correlation analysis was used to examine the associations between variables and lifetime or current suicide risk. Significant variables will be included in bivariate or generalized ordered logistic regression analyses. Sensitivity analyses were conducted to confirm the robustness of variables in predicting suicide risk outcomes. A stepwise exclusion method was used to progressively remove confounding variables and observe changes in the effect of EPQ-N scores across models. Simple mediation models were employed to assess the mediating role of PHQ-9 between neuroticism and current suicide risk. The level of significance was set at P < 0.05 (2-tailed).
3 Results
3.1 Demographic and clinical characteristics
Of the initial 214 recruits with MDD or BD, 36 were excluded due to failure to complete the assessments. Thus, the study population comprised 178 patients with fully completed assessments (Table 1). There were 99 (55.6%) men and 79 (44.4%) women. Among them, 108 (60.7%) and 70 (39.3%) participants were judged to have no or some lifetime suicide risk, respectively. The 70 patients with a lifetime risk of suicide had a significantly longer disease duration than did the 108 patients without a lifetime risk of suicide (Z = –3.82, P < 0.001). Patients living alone had a significantly greater lifetime risk of suicide compared to those living with co-residents (χ² = 7.94, P = 0.005). The groups with and without lifetime suicide risk were statistically comparable in terms of age, years of education, gender ratio, marital status, employment, and PHQ-9 scores.

Table 1. Demographics and characteristics of patients with ADs without and with lifetime suicide risk.
The EPQ-N scores of the patients with a lifetime risk of suicide were significantly higher than those of patients without a lifetime suicide risk (t = –2.31, P = 0.022; Table 1). However, the EPQ-P and EPQ-E scores did not significantly differ between the two groups of patients (t = –1.90, P = 0.059 and t = 0.10, P = 0.338, respectively). There was no statistical significance in EPQ-L scores between the two groups (t = 0.38, P = 0.704), indicating that the results of the main scales (EPQ-E, P, and N) are likely more reliable and less influenced by socially desirable or masked responses.
3.2 Lifetime suicide risk and personality traits
In the overall population, the lifetime suicide risk was positively associated with the EPQ-N score (r = 0.18, P = 0.018; Table 2) and disease duration (r = 0.29, P < 0.001). A significant correlation was found between residential status and lifetime suicide risk (r = 0.21, P = 0.005), with those living with others having a lower risk. Specifically, in the MDD group, the lifetime suicide risk was positively associated with disease duration (r = 0.37, P < 0.001). Lifetime suicide risk was positively correlated with residential status (r = 0.28, P = 0.008) in the BD group.
Binary logistic regression analysis showed that for the overall population, the following were independent predictors of lifetime suicide risk (Table 3): living alone (odds ratio [OR] = 4.59, 95% confidence interval [CI] = 1.34–15.73, P = 0.015) and longer disease duration (OR = 1.01, 95% CI = 1.00–1.01, P = 0.001), after adjusting for all variables. However, the impact of high neuroticism on lifetime suicide risk was not statistically significant (P = 0.187). In sensitivity analyses, after stepwise exclusion of other variables, the EPQ-N score was found to be a significant predictor of lifetime suicide risk (OR = 1.03, 95% CI = 1.00–1.05, P = 0.024). This suggests that while the EPQ-N was a significant predictor of lifetime suicide risk when included as the sole variable, its effect became non-significant when adjusted for variables such as disease duration and residential status. For patients with MDD, both longer disease duration (OR = 1.02, 95% CI = 1.01–1.03, P < 0.001) and higher PHQ-9 scores (OR = 1.08, 95% CI = 1.00–1.16, P = 0.044) was independent predictor of lifetime suicide risk. Although residential status correlated with lifetime suicide risk in the BD group, the association did not reach statistical significance.
3.3 Current suicide risk and personality traits
Spearman correlation analysis showed that in the overall population, the current suicide risk was inversely associated with the EPQ-E score [r = –0.19, P = 0.010; Table 4)], but positively associated with EPQ-N score and residential status (r = 0.17, P = 0.024 and r =0.19, P =0.010, respectively. The positive correlation between PHQ-9 scores and current suicide risk was notably significant, with a moderate level of correlation (r = 0.46, P < 0.001). Further subgroup analyses revealed that among patients with MDD, the current suicide risk was inversely associated with age (r = –0.23, P = 0.033) and positively associated with EPQ-N and PHQ-9 score (r = 0.24, P = 0.026 and r =0.45, P < 0.001, respectively). In BD group, current suicide risk was positively correlated with residential status (r = 0.41, P < 0.001) and PHQ-9 score (r = 0.49, P < 0.001), negatively correlated with the EPQ-E score (r = –0.21, P = 0.043), but showed no significant association with the EPQ-N score (r = 0.10, P = 0.355).
The results of generalized ordered logistic regression analyses showed that PHQ-9 scores significantly influenced current suicide risk in both the overall ADs (OR = 1.19, 95% CI = 1.10–1.28, P < 0.001; Supplementary Table S1) and subgroups of MDD (OR = 1.21, 95% CI = 1.10–1.33, P < 0.001) and BD (OR = 1.25, 95% CI = 1.09–1.43, P = 0.001). Among BD patients, residential status and disease duration significantly influenced current suicide risk. Having co-residents was a protective factor against current suicide risk in BD patients (OR < 0.01, 95% CI = 0.01–0.90, P = 0.001), while longer disease duration was linked to heightened vulnerability, it did not have a significant impact on current suicide risk (OR = 1.01, 95% CI = 0.99–1.03, P = 0.039).
3.4 The mediating role of depressive symptoms
Mediation analysis demonstrated that depressive symptoms acted as a key mediator in the relationship between neuroticism and current suicide risk (Figure 1). In the overall ADs, neuroticism significantly predicted depressive symptom severity (B = 0.19, P < 0.001; Supplementary Table S2), which in turn predicted current suicide risk (B = 0.05, P < 0.001). Although the total effect of neuroticism on current suicide risk approached significance (B = 0.01, P = 0.080), its direct effect was not statistically significant (B < 0.01, P = 0.680). Bootstrap tests confirmed that depressive symptoms fully mediated the relationship between neuroticism and current suicide risk (B = 0.01, 95% CI = 0.01–0.02). In MDD, neuroticism was a strong predictor of depressive symptoms (B = 0.25, P < 0.001; Table 5), which subsequently predicted current suicide risk (B = 0.04, P = 0.003). A significant total effect of neuroticism on current suicide risk was observed (B = 0.02, P = 0.022), its direct influence failed to reach statistical significance (B < 0.01, P = 0.500). Bootstrap tests showed that depressive symptoms partially mediated this relationship, with an indirect effect of (B = 0.01, 95% CI = 0.01–0.02). Similarly, in the BD group, neuroticism predicted depressive symptoms (B = 0.13, P = 0.002; Supplementary Table S3), which also strongly predicted current suicide risk (B = 0.06, P < 0.001). However, neither the total effect (B < 0.01, P = 0.714) nor the direct effect (B = -0.01, P = 0.335) of neuroticism on current suicide risk was significant. The full mediation of depressive symptoms in the neuroticism-suicide risk relationship was confirmed by bootstrap analyses, showing an indirect effect of (B = 0.01, 95% CI = 0.01–0.02).

Figure 1. Mediation effect of depression severity in Neuroticism influencing current suicide risk. In MDD, neuroticism influences current suicide risk both directly and indirectly through depressive symptoms (aMDD: B=0.25*, P < 0.001; bMDD: B=0.04*, P=0.003; cMDD: B=0.02*, P=0.002). In BD, neuroticism influences current suicide risk mainly through depressive symptoms, not directly (aBD: B=0.13*, P=0.002; bBD: B=0.06*, P < 0.001; cBD: B < 0.01, P=0.714). For ADs as a whole, the overall effect is predominantly indirect via depressive symptoms (aADs: B=0.19*, P < 0.001; bADs: B=0.05*, P < 0.001; cADs: B=0.01, P=0.080).

Table 5. Results of the mediating effect of depression severity in neuroticism influencing current suicide risk in MDD.
4 Discussion
This study examined the role of personality traits, particularly neuroticism, in the risk of suicide among patients with ADs, based on qualitative information concerning suicide risk, the suicide item of HAMD-17, and the EPQ. Across multiple analyses, neuroticism demonstrated a consistent association with suicide risk. Neuroticism showed a significant association with both lifetime and current suicide risk in patients with ADs. In univariate analyses, lifetime suicide risk was significantly associated with neuroticism; however, this effect was no longer significant after controlling for covariates. Mediation analyses showed that the effect of neuroticism on current suicide risk was mediated by depressive symptoms. In MDD patients, neuroticism contributed to an increased current suicide risk. The findings underscore neuroticism as a significant driver of suicide risk, both indirectly through depressive symptoms and directly. This effect is most pronounced in the context of heightened depressive symptoms.
Personality traits are unique and inherent to everyone and influence emotions, judgment, decisions, and behavior. According to Eysenck’s theory of personality, neuroticism is a stable personality trait (14). Thus, a high EPQ-N score suggests a persistent tendency experience a range of negative emotional states, including anxiety, frustration, envy, hopelessness, and loneliness, compared to individuals with a low score. The present study extends prior findings on the association between neuroticism and suicide risk, by clarifying its differential influences in MDD and BD.
Neuroticism, as measured by the EPQ-N, was elevated in participants with ADs who reported both lifetime and current risk of suicide. Patients with ADs and high EPQ-N scores were more likely to report lifetime suicide risk. A retrospective cohort study reported that high levels of neuroticism in adolescents with ADs may increase the risk of suicide in adulthood by promoting maladaptive behaviors (35). Su et al. suggested that a high level of neuroticism was an independent risk factor for both suicidal ideation and attempt. In addition, the combination of elevated neuroticism and reduced extraversion may characterize a subgroup of patients at particularly high risk for suicide (36). Another study identified neuroticism as a potential marker of chronic suicide risk (37). This study builds on previous findings by further clarifying the contribution of neuroticism to lifetime suicide risk in patients with ADs. Neuroticism predicted suicide risk in univariate analyses, but this effect was attenuated after controlling for factors such as living alone and prolonged illness. This supports the stress-vulnerability hypothesis (38), suggesting that neuroticism, as a biological vulnerability, plays a stronger role under high-stress conditions and a diminished role when stressors are minimal.
This study further showed that, among patients with MDD, high EPQ-N scores were significantly associated with current suicide risk. This result is consistent with previous studies (10, 39). Acute episodes of MDD are typically characterized by persistent low mood, lack of pleasure and interest, sleep and appetite disturbances, low energy, feelings of worthlessness, and, in severe cases, cognitive dysfunction, including memory deficits (40–42). Severe or persistent MDD may impair patients’ social functioning (43–45), leading to increased social isolation and heightened suicide risk. This cross-sectional study identified neuroticism as a contributor to current suicide risk, partly through depressive symptoms. The severity of depressive symptoms was evaluated in accordance with each participant’s clinical status at the time of assessment, encompassing both acute depressive episodes and remission. These observations indicate that the impact of neuroticism on current suicide risk is not restricted to periods of active depressive symptomatology. Rather, its influence appears to extend across various stages of illness. These findings support the view that neuroticism is a stable personality trait whose influence on current suicide risk endures throughout the course of MDD. Furthermore, neuroticism contributes directly to suicide risk and exacerbates depressive symptoms, which in turn further increase suicide risk in patients with MDD. According to the mediator-moderator model (46), neuroticism influences suicide risk by affecting depressive symptoms. As a mediator, depressive symptoms help explain the relationship between external stressors and internal personality traits. For example, individuals with high neuroticism tend to experience worsening depressive symptoms under stress or negative events, often accompanied by persistent difficulties in emotion regulation and ineffective coping strategies. This pattern of cognitive distortion, including over-interpretation and catastrophizing, further amplifies suicide risk in these patients.
Elevated neuroticism has also been identified as a predictor of BD symptoms, in both one-dimensional models (bipolarity) and two-dimensional models (mania and depression) (47). Although the suicide rate is high in BD, most cases occur during depressive or mixed episodes (48), underscoring the contribution of depressive symptoms to suicide risk in this population. One key finding of this study is that neuroticism indirectly increases suicide risk by exacerbating depressive symptoms, offering new insight into the suicide risk model in BD. The impact of neuroticism in BD may change over time. In particular, manic and depressive episodes could further shape its influence. Future research should further investigate how neuroticism interacts with clinical features, such as depressive episodes.
This study supports earlier findings regarding the relationship between selected psychological factors and suicide risk. In patients with MDD, disease duration was significantly longer in those with a reported lifetime risk of suicide compared to those without. Studies have revealed that even during remission, patients with chronic depression remain vulnerable to relapse and suicide, particularly as illness duration increases (49). Similarly, Pan et al. (50) found that the high risk of suicidal thoughts and behaviors was associated with the duration of the illness. One possible explanation is that the longer course of illness contributes a decline in social functioning and self-worth, which may, in turn, increase suicidal ideation. This study found that age was significantly associated with current suicide risk. Melhem et al. described that younger patient with depressive symptoms had a higher risk of suicide (51). However, Grav et al. (52) stated that older patients were more likely to exhibit suicidal behavior—a pattern not observed in the current study. In older adults, suicide risk may be related to bereavement, and living alone (53), whereas in younger individuals, it is more often linked to family conflict and impulsivity (54). Living alone often lacks social support, which significantly contributes to increased suicide risk. Feelings of loneliness, isolation, and hopelessness, intensified by living alone, are key drivers of suicidal ideation and behavior. The lack of social support reinforces these emotions and increases suicide risk (55).
The findings of this study suggest that high neuroticism is associated with heightened suicide risk. Neuroticism contributes to current suicide risk through different mediation pathways in MDD and BD, primarily via depressive symptoms. In MDD, neuroticism is associated with current suicide risk through both direct and indirect pathways. Pharmacological treatment remains the first-line approach for managing depressive symptoms. Nevertheless, additional benefit may be gained by combining medical treatment with personality interventions for individuals with high levels of neuroticism. Resilience training, targeted cognitive-behavioral therapy, and mindfulness may be effective strategies for addressing neuroticism. Integrating standard medical and personality-based interventions may lead to improve emotional regulation and reduce suicide vulnerability. In contrast, managing depressive symptoms should be prioritized in BD patients with high neuroticism to effectively address current suicide risk. This can be achieved through mood stabilization, and the reduction of acute symptoms. Meanwhile, by improving emotional regulation and preventing depressive recurrence, personality-informed interventions may offer protection against current suicide risk. Moving forward, these distinctions may inform the development of targeted suicide prevention strategies adapted to individual risk profiles.
A deeper knowledge of its inherent pathological systems may be obtained from multi-omics approaches. This could help identify individual vulnerability traits. It may also support the development of a robust framework for precise risk prediction and targeted interventions.
This study is subject to several limitations. The cross-sectional design of the study prevented the collection of follow-up data on individual trajectories. In addition, the potential effect of antipsychotics medication on suicide risk could not be evaluated. Such evaluations would require longitudinal studies to better clarify the relationship between neuroticism and suicide risk. The focus of this study was on the association between neuroticism and suicide risk—both lifetime and current, without distinguishing between suicide attempts and suicidal ideation. Analyzing the association between neuroticism and either suicide attempts or suicidal ideation was beyond the scope of this study. Future studies should incorporate multiple follow-up assessments to capture changes in depressive and manic symptoms over time. Additionally, a broader age range was included to improve sample diversity. Despite phenotypic differences in ADs across age groups, including participants aged 16 years and older offers substantial value for research. Future studies should expand the sample size, with particular attention to adolescents and young adults. A final limitation is that all participants were from a Chinese population, potentially restricting the generalizability of the findings. Cultural differences in emotional expression, help-seeking, and attitudes toward suicide could influence the observed associations. Future studies should examine the consistency of these patterns across culturally diverse populations.
5 Conclusion
This study explored the relationship between neuroticism and suicide risk in MDD and BD. The findings demonstrated a significant association between neuroticism and both lifetime and current suicide risk in patients with ADs. Mediation analyses further indicated the neuroticism contributes current suicide risk, by intensifying depressive symptoms, both directly and indirectly. Clinicians are encouraged to evaluate neuroticism to develop personalized interventions and enhance suicide prevention measures.
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
The studies involving humans were approved by the Ethics Committee of Beijing Anding Hospital, Capital Medical University (Approval No. 201310). The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants' legal guardians/next of kin. Written informed consent was obtained from the individual(s), and minor(s)' legal guardian/next of kin, for the publication of any potentially identifiable images or data included in this article.
Author contributions
YX: Writing – original draft, Formal Analysis, Methodology. TL: Formal Analysis, Methodology, Writing – review & editing. ZM: Data curation, Investigation, Writing – review & editing. LZ: Data curation, Investigation, Writing – review & editing. YS: Data curation, Investigation, Writing – review & editing. QJ: Data curation, Investigation, Writing – review & editing. CW: Conceptualization, Project administration, Writing – review & editing. QB: Funding acquisition, Supervision, Writing – review & editing.
Funding
The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the National Natural Science Foundation of China (No. 81901355) and the Beijing Natural Science Foundation (No. 7192081). No investigator received any personal benefit from participation in this study.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The author(s) declare that no Generative AI was used in the creation of this manuscript.
Publisher’s note
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Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1527054/full#supplementary-material
Abbreviations
MDD, Major Depressive Disorder; BD, Bipolar Disorder; ADs, Affective disorders; EPQ, Eysenck Personality Questionnaire; SCID-I/P, Structured Clinical Interview for DSM-IV Axis I disorders-Patient Edition; HAMD-17, 17-item Hamilton Depression Rating Scale; EPQ-P, Eysenck Personality Questionnaire - Psychoticism; EPQ-E, Eysenck Personality Questionnaire - Extraversion; EPQ-N, Eysenck Personality Questionnaire - Neuroticism; EPQ-L, Eysenck Personality Questionnaire - Lie; PHQ-9, Patient Health Questionnaire-9.
References
1. Disease GBD, Injury I, and Prevalence C. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: A systematic analysis for the global burden of disease study 2017. Lancet. (2018) 392:1789–858. doi: 10.1016/S0140-6736(18)32279-7
2. World Health Organization. Mental disorders(2022). Available online at: https://www.who.int/news-room/fact-sheets/detail/mental-disorders (Accessed June 8, 2022).
3. Klonsky ED, May AM, and Saffer BY. Suicide, suicide attempts, and suicidal ideation. Annu Rev Clin Psychol. (2016) 12:307–30. doi: 10.1146/annurev-clinpsy-021815-093204
4. Grover S, Avasthi A, Chakravarty R, Dan A, Chakraborty K, Neogi R, et al. Factors associated with lifetime suicide attempts: findings from the bipolar disorder course and outcome study from India (Bid-coin study). Nord J Psychiatry. (2023) 77:227–33. doi: 10.1080/08039488.2022.2083231
5. Ye G, Li Z, Yue Y, Wu Y, Yang R, Wang H, et al. Suicide attempt rate and the risk factors in young, first-episode and drug-naive Chinese Han patients with major depressive disorder. BMC Psychiatry. (2022) 22:612. doi: 10.1186/s12888-022-04254-x
6. Miola A, Tondo L, Pinna M, Contu M, and Baldessarini RJ. Comparison of bipolar disorder type ii and major depressive disorder. J Affect Disord. (2023) 323:204–12. doi: 10.1016/j.jad.2022.11.039
7. M.Malone K, L.Haas G, and A.Sweeney J. J.JohnMann. Major depression and the risk of attempted suicide. J Affect Disord. (1995) 34:173–85. doi: 10.1016/0165-0327(95)00015-F
8. Serra G, De Crescenzo F, Maisto F, Galante JR, Iannoni ME, Trasolini M, et al. Suicidal behavior in juvenile bipolar disorder and major depressive disorder patients: systematic review and meta-analysis. J Affect Disord. (2022) 311:572–81. doi: 10.1016/j.jad.2022.05.063
9. Mann JJ. Neurobiology of suicidal behaviour. Nat Rev Neurosci. (2003) 4:819–28. doi: 10.1038/nrn1220
10. Kalman JL, Yoshida T, Andlauer TFM, Schulte EC, Adorjan K, Alda M, et al. Investigating the phenotypic and genetic associations between personality traits and suicidal behavior across major mental health diagnoses. Eur Arch Psychiatry Clin Neurosci. (2022) 272:1611–20. doi: 10.1007/s00406-021-01366-5
11. Pokorny AD. Prediction of suicide in psychiatric patients: Report of a prospective study. Arch Gen Psychiatry. (1983) 40:249–57. doi: 10.1001/archpsyc.1983.01790030019002
12. Freeman A, Mergl R, Kohls E, Szekely A, Gusmao R, Arensman E, et al. A cross-national study on gender differences in suicide intent. BMC Psychiatry. (2017) 17:234. doi: 10.1186/s12888-017-1398-8
13. McCallum SM, Batterham PJ, Christensen H, Werner-Seidler A, Nicolopoulos A, Newton N, et al. Personality factors associated with suicidal ideation, plans and attempts in adolescents. J Affect Disord. (2022) 310:135–41. doi: 10.1016/j.jad.2022.05.010
14. Eysenck HJ and Eysenck SBB. Manual of the Eysenck Personality Inventory. London: University of London Press. (1964).
15. Brezo J, Paris J, and Turecki G. Personality traits as correlates of suicidal ideation, suicide attempts, and suicide completions: A systematic review. Acta Psychiatr Scand. (2006) 113:180–206. doi: 10.1111/j.1600-0447.2005.00702.x
16. Peters EM, John A, Bowen R, Baetz M, and Balbuena L. Neuroticism and suicide in a general population cohort: results from the Uk biobank project. BJPsych Open. (2018) 4:62–8. doi: 10.1192/bjo.2017.12
17. Vidal-Arenas V, Bravo AJ, Ortet-Walker J, Ortet G, Mezquita L, Ibáñez MI, et al. Neuroticism, rumination, depression and suicidal ideation: A moderated serial mediation model across four countries. Int J Clin Health Psychol. (2022) 22:100325. doi: 10.1016/j.ijchp.2022.100325
18. Bi B, Liu W, Zhou D, Fu X, Qin X, and Wu J. Personality traits and suicide attempts with and without psychiatric disorders: analysis of impulsivity and neuroticism. BMC Psychiatry. (2017) 17:294. doi: 10.1186/s12888-017-1453-5
19. Fabbri C, Mutz J, Lewis CM, and Serretti A. Depressive symptoms and neuroticism-related traits are the main factors associated with wellbeing independent of the history of lifetime depression in the Uk biobank. psychol Med. (2021) 53:3000–8. doi: 10.1017/s003329172100502x
20. Ambresin G, Strippoli M-PF, Vandeleur CL, de Roten Y, Despland J-N, and Preisig M. Correlates of chronic depression in the general population: results from the Colaus|Psycolaus study. Soc Psychiatry Psychiatr Epidemiol. (2023) 58:1179–91. doi: 10.1007/s00127-023-02462-8
21. Barnett JH, Huang J, Perlis RH, Young MM, Rosenbaum JF, Nierenberg AA, et al. Personality and bipolar disorder: dissecting state and trait associations between mood and personality. Psychol Med. (2011) 41:1593–604. doi: 10.1017/S0033291710002333
22. Dempsey RC, Dodd AL, Gooding PA, and Jones SH. The types of psychosocial factors associated with suicidality outcomes for people living with bipolar disorder: A scoping review. Int J Environ Res Public Health. (2024) 21:525. doi: 10.3390/ijerph21050525
23. Swann AC, Lafer B, Perugi G, Frye MA, Bauer M, Bahk W-M, et al. Bipolar mixed states: an international society for bipolar disorders task force report of symptom structure, course of illness, and diagnosis. Am J Psychiatry. (2013) 170:31–42. doi: 10.1176/appi.ajp.2012.12030301
24. Au JS, Martinez de Andino A, Mekawi Y, Silverstein MW, and Lamis DA. Latent class analysis of bipolar disorder symptoms and suicidal ideation and behaviors. Bipolar Disord. (2020) 23:186–95. doi: 10.1111/bdi.12967
25. Settles RE, Fischer S, Cyders MA, Combs JL, Gunn RL, and Smith GT. Negative urgency: A personality predictor of externalizing behavior characterized by neuroticism, low conscientiousness, and disagreeableness. J Abnorm Psychol. (2012) 121:160–72. doi: 10.1037/a0024948
26. Kamali M, Saunders EFH, Assari S, Ryan KA, Marshall DF, and McInnis MG. Mood, dimensional personality, and suicidality in a longitudinal sample of patients with bipolar disorder and controls. Suicide Life Threat Behav. (2019) 49:1360–78. doi: 10.1111/sltb.12529
27. First M, Spitzer R, Gibbon M, Williams J, First M, Spitzer R, et al. Structured Clinical Interview for Dsm-Iv Axis I Disorders-Patient Edition (Scid-I/P, Version 2.0). New York: Biometrics Research Department, New York State Psychiatric Institute (1996).
28. Hamilton M. A rating scale for depression. J Neurol Neurosurg Psychiatry. (1960) 23:56–62. doi: 10.1136/jnnp.23.1.56
29. Knesevich JW, Biggs JT, Clayton PJ, and Ziegler VE. Validity of the Hamilton rating scale for depression. Br J Psychiatry. (1977) 131:49–52. doi: 10.1192/bjp.131.1.49
30. Desseilles M, Perroud N, Guillaume S, Jaussent I, Genty C, Malafosse A, et al. Is it valid to measure suicidal ideation by depression rating scales? J Affect Disord. (2012) 136:398–404. doi: 10.1016/j.jad.2011.11.013
31. Perlis RH, Beasley CM Jr., Wines JD Jr., Tamura RN, Cusin C, Shear D, et al. Treatment-associated suicidal ideation and adverse effects in an open, multicenter trial of fluoxetine for major depressive episodes. Psychother Psychosom. (2007) 76:40–6. doi: 10.1159/000096363
32. Eysenck HJ and Eysenck SBG. Manual of the Eysenck Personality Questionnaire. London: Hodder and Stoughton (1975).
33. Eysenck SB and Eysenck HJ. The measurement of psychoticism: A study of factor stability and reliability. Br J Soc Clin Psychol. (1968) 7:286–94. doi: 10.1111/j.2044-8260.1968.tb00571.x
34. Miles JN, Shevlin M, and McGhee PC. Gender differences in the reliability of the Epq? A bootstrapping approach. Br J Psychol. (1999) 90:145–54. doi: 10.1348/000712699161198
35. Wang T-Y, Chen H-C, Hsu C-D, Chen IM, Liao S-C, Chang C-E, et al. The mediating effects of personality traits on the relationship of youth conduct problems and mood disorders with adulthood suicidality. Sci Rep. (2023) 13:4292. doi: 10.1038/s41598-023-31338-9
36. Su MH, Chen HC, Lu ML, Feng J, Chen IM, Wu CS, et al. Risk profiles of personality traits for suicidality among mood disorder patients and community controls. Acta Psychiatr Scand. (2018) 137:30–8. doi: 10.1111/acps.12834
37. Ormel J, Jeronimus BF, Kotov R, Riese H, Bos EH, Hankin B, et al. Neuroticism and common mental disorders: meaning and utility of a complex relationship. Clin Psychol Rev. (2013) 33:686–97. doi: 10.1016/j.cpr.2013.04.003
38. van Heeringen K. Stress, vulnerability, and suicide: the stress–diathesis model. In: The Neuroscience of Suicidal Behavior. Cambridge Fundamentals of Neuroscience in Psychology. Cambridge University Press, Cambridge (2018).
39. Szucs A, Szanto K, Wright AGC, and Dombrovski AY. Personality of late- and early-onset elderly suicide attempters. Int J Geriatr Psychiatry. (2020) 35:384–95. doi: 10.1002/gps.5254
40. Pitanupong J, Sathaporn K, and Tepsuan L. Residual symptoms and their associated factors among thai patients with depression: A multihospital-based survey. Ann Gen Psychiatry. (2022) 21:50. doi: 10.1186/s12991-022-00427-w
41. Rice F, Riglin L, Lomax T, Souter E, Potter R, Smith DJ, et al. Adolescent and adult differences in major depression symptom profiles. J Affect Disord. (2019) 243:175–81. doi: 10.1016/j.jad.2018.09.015
42. Schwefel MK, Kaufmann C, Gutmann G, Henze R, Fydrich T, Rapp MA, et al. Physical fitness is associated with neural activity during working memory performance in major depressive disorder. NeuroImage: Clin. (2023) 38:103401. doi: 10.1016/j.nicl.2023.103401
43. Christensen MC, Wong CMJ, and Baune BT. Symptoms of major depressive disorder and their impact on psychosocial functioning in the different phases of the disease: do the perspectives of patients and healthcare providers differ? Front Psychiatry. (2020) 11:280. doi: 10.3389/fpsyt.2020.00280
44. Schmid M and Hammar A. First-episode patients report cognitive difficulties in executive functioning 1 year after initial episode of major depressive disorder. Front Psychiatry. (2021) 12:667238. doi: 10.3389/fpsyt.2021.667238
45. Halaris A, Sohl E, and Whitham EA. Treatment-resistant depression revisited: A glimmer of hope. J Pers Med. (2021) 11:155. doi: 10.3390/jpm11020155
46. Preacher KJ, Rucker DD, and Hayes AF. Addressing moderated mediation hypotheses: theory, methods, and prescriptions. Multivariate Behav Res. (2007) 42:185–227. doi: 10.1080/00273170701341316
47. Quilty LC, Sellbom M, Tackett JL, and Bagby RM. Personality trait predictors of bipolar disorder symptoms. Psychiatry Res. (2009) 169:159–63. doi: 10.1016/j.psychres.2008.07.004
48. Miller JN and Black DW. Bipolar disorder and suicide: A review. Curr Psychiatry Rep. (2020) 22:6. doi: 10.1007/s11920-020-1130-0
49. Klein DN and Kotov R. Course of depression in a 10-year prospective study: evidence for qualitatively distinct subgroups. J Abnorm Psychol. (2016) 125:337–48. doi: 10.1037/abn0000147
50. Pan Y, Wang G, Zhu H, Ji X, Li J, Yin L, et al. Risk factors for suicide in psychiatric emergency patients in Beijing, China: A large cross-sectional study. Psychiatry Res. (2021) 304:114067. doi: 10.1016/j.psychres.2021.114067
51. Melhem NM, Porta G, Oquendo MA, Zelazny J, Keilp JG, Iyengar S, et al. Severity and variability of depression symptoms predicting suicide attempt in high-risk individuals. JAMA Psychiatry. (2019) 76:603–13. doi: 10.1001/jamapsychiatry.2018.4513
52. Grav S, Stordal E, Romild UK, and Hellzen O. The relationship among neuroticism, extraversion, and depression in the hunt study: in relation to age and gender. Issues Ment Health Nurs. (2012) 33:777–85. doi: 10.3109/01612840.2012.713082
53. Beghi M, Butera E, Cerri CG, Cornaggia CM, Febbo F, Mollica A, et al. Suicidal behaviour in older age: A systematic review of risk factors associated to suicide attempts and completed suicides. Neurosci Biobehav Rev. (2021) 127:193–211. doi: 10.1016/j.neubiorev.2021.04.011
54. Siu AMH. Self-harm and suicide among children and adolescents in Hong Kong: A review of prevalence, risk factors, and prevention strategies. J Adolesc Health. (2019) 64:S59–64. doi: 10.1016/j.jadohealth.2018.10.004
Keywords: suicide risk, major depressive disorder, bipolar disorder, personality traits, neuroticism
Citation: Xing Y, Li T, Mao Z, Zhao L, Sun Y, Jiang Q, Wang C and Bo Q (2025) Effects of neuroticism on suicide risk in major depressive disorder and bipolar disorder. Front. Psychiatry 16:1527054. doi: 10.3389/fpsyt.2025.1527054
Received: 12 November 2024; Accepted: 21 April 2025;
Published: 19 May 2025.
Edited by:
Gábor Gazdag, Jahn Ferenc Dél-Pesti Kórház és Rendelőintézet, HungaryReviewed by:
Xiangling Deng, China-Japan Friendship Hospital, ChinaZhe Lu, Peking University Sixth Hospital, China
Copyright © 2025 Xing, Li, Mao, Zhao, Sun, Jiang, Wang and Bo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Qijing Bo, YnFqNzE4QDE2My5jb20=
†These authors have contributed equally to this work and share first authorship