Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2022 Oct 14.
Published in final edited form as: Emerg Adulthood. 2021 Mar 30;10(5):1216–1221. doi: 10.1177/21676968211001593

Suicidal Mental Imagery: Investigating a Novel Marker of Suicide Risk

Hannah R Lawrence 1, Jacqueline Nesi 2,3, Rebecca A Schwartz-Mette 4
PMCID: PMC9562474  NIHMSID: NIHMS1692486  PMID: 36249882

Abstract

Rates of suicidal ideation and behavior are high and increasing in emerging adulthood. Research focused on suicidal ideation as a predictor of suicidal behavior has nearly exclusively conceptualized suicidal ideation as verbal thoughts about suicide. Emerging research suggests, however, that mentally imagining suicide may be even more impairing than verbal thoughts about suicide. Thirty-nine emerging adults with a lifetime history of suicidal cognitions completed self-report assessments of characteristics of their suicidal cognitions, histories of suicide plans and behavior, and the degree to which their suicidal cognitions took the form of mental imagery or verbal thought. Suicidal mental imagery predicted more intense and longer duration of suicidal cognitions, a higher likelihood of having made a suicide plan, and a higher likelihood of having made a suicide attempt over and above suicidal verbal thoughts. Thus, suicidal mental imagery could provide a novel target for suicide assessment and intervention for emerging adults.

Keywords: suicidal mental imagery, suicidal verbal thoughts, suicide plan, suicide, attempt, suicidal behavior


Suicidal ideation and behavior are common and increasing among emerging adults (Duffy et al., 2019; Mortier et al., 2018). Estimates suggest that 22.3% of college students have experienced suicidal ideation, 6.1% have made a suicide plan, and 3.2% have made a suicide attempt in their lifetime (Mortier et al., 2018). There is a need to identify novel predictors of suicide to target in prevention and intervention efforts. Suicidal mental imagery, or imagining suicide-related content (e.g., imagining hanging one’s self), is one such promising construct.

In both clinical and research contexts, suicide risk assessment has predominately focused on suicidal ideation, or verbal thoughts about suicide (e.g., “I wish I was not alive”). Recent research suggests, however, that suicidal mental imagery is prevalent in individuals who report suicidal cognitions and is not captured by existing measures of suicide risk (Crane et al., 2012; Holaday & Brausch, 2015; Sheehan et al., 1998). Across samples of college students with suicidal cognitions (Holaday & Brausch, 2015), adults with a history of suicidal cognitions and either bipolar or unipolar depression (Hales et al., 2011), and adults with a history of depression and suicidal ideation and/or suicidal behavior (Holmes et al., 2007), the vast majority of individuals reported suicidal mental imagery when most acutely suicidal.

Although no studies have examined relations between suicidal mental imagery and rates of suicidal behavior, there is reason to suspect that suicidal mental imagery may be associated with more severe suicidal symptoms. Adults reporting suicidal mental imagery had more severe suicidal cognitions (Ng et al., 2016) and higher scores on a measure of overall suicidality (Holaday & Brausch, 2015) than adults who did not report suicidal mental imagery. In addition, 78% of adults who reported suicidal cognitions reported suicidal mental imagery, rates which rose to 100% among those who had attempted suicide (Crane et al., 2012) and as many as 82% of adults reported that their suicidal mental imagery made them want to act (Hales et al., 2011; Schultebrauck et al., 2020). Yet no research has directly tested whether suicidal mental imagery is associated with increased risk for suicidal behavior.

These findings suggest that suicidal mental imagery is a common, yet woefully understudied, experience among individuals at risk of suicide and that studying suicidal mental imagery in emerging adulthood is particularly important given the high rates of suicide in this population (e.g., Mortier et al., 2018). The current study documented rates of suicidal mental imagery in emerging adults and evaluated associations among suicidal mental imagery, severity of suicidal cognitions, and risk for suicidal plans and behavior. We expected that the majority of emerging adults with suicidal cognitions would report suicidal mental imagery and that greater suicidal mental imagery would be associated with more intense and longer duration suicidal cognitions and a higher likelihood of suicide plans and behavior. All hypotheses were exploratory given the novelty of examining suicidal mental imagery as a marker of suicide risk.

Method

Participants

Participants were 39 undergraduate college students (Mage = 18.90, SD = 1.94; age range 18–291) who reported a lifetime history of suicidal cognitions. Participants were identified for inclusion in the sample by responding affirmatively to the question, “Have you ever had thoughts of killing yourself?” Participants were recruited from the psychology department subject pool of a public university in the northeastern United States and received course credit for completing the study. The sample predominantly identified as female (79.5% female, 15.4% male, 5.1% other), White (89.7% White, 2.6% Black or African American, 2.6% Asian, 2.6% American Indian/Alaska Native), and not Hispanic/Latinx (7.7% Hispanic/Latinx). All participants were provided with a list of resources for mental health services and received an in-person assessment of imminent suicide risk by a trained research assistant, though no imminent risk was identified. G*Power (Faul et al., 2007) was used to conduct a priori power calculations based on a logistic regression model testing whether suicidal mental imagery predicted suicidal behavior. A sample size of 34 was sufficient to detect an odds ratio of 3.48 for having engaged in suicidal behavior (α = .05, power = .80). The odds ratio for this analysis was estimated based on preliminary data collected by the first author on the relation between suicidal mental imagery and history of suicide attempts in adolescents.

Procedure

Participants reported on their demographic characteristics (i.e., date of birth, age, gender identity, race, and ethnicity) and completed the following measures online using Qualtrics© while attending an in-person laboratory session:

Depressive symptoms.

To assess severity of depressive symptoms, participants completed the Center for Epidemiological Studies Depression Scale (CES-D; Radloff, 1977). The CES-D includes 20 items that reflect symptoms of depression. Participants rate how often they experienced each symptom in the last week on a 4-point Likert scale ranging from 0 (Rarely or none of the time; less than 1 day) to 3 (Most or all of the time; 5–7 days). Higher scores reflect more severe depressive symptoms. Reliability was strong in the present study (α = .91).

Self-injurious cognitions and behavior.

Participants completed the self-report version of the Self-Injurious Thoughts and Behaviors Interview (SITBI; Nock et al., 2007), which assesses presence and characteristics of suicidal cognitions, suicide plans, suicidal behaviors without intent, and suicide attempts.

Suicidal cognitions.

Average intensity was assessed with the question, “On average how intense were these thoughts?” and worst point intensity was assessed with the question: “At the worst point how intense were your thoughts of killing yourself?” with ratings for both items ranging from 0 (Low/Little) to 4 (Very Much/Severe). Duration was assessed with item, “When you have thoughts of killing yourself, how long do they usually last?” rated from 0 (0 seconds) to 7 [wide range (spans > 2 responses)].

Self-injurious plans and behavior.

To assess history of making a suicide plan, participants were asked, “Have you ever actually made a plan to kill yourself?” To assess suicidal behaviors without intent, participants responded to question, Have you ever done something to lead someone to believe that you wanted to kill yourself when you really had no intention of doing so?” To assess suicide attempts, participants were asked, “Have you ever made an actual attempt to kill yourself in which you had at least some intent to die?” All items were answered 0 (yes) or 1 (no). Construct validity and test-retest reliability of the SITBI have previously been shown to be strong (Nock et al., 2007).

Suicidal mental imagery and verbal thoughts.

Following completion of the SITBI, participants were told, “When people have thoughts of suicide, their thoughts can seem like words or like images.” They then responded to the questions, “How often are your suicidal thoughts in words?” and “How often are your suicidal thoughts in images” on separate 5-point Likert scales ranging from 1 (Almost never) to 5 (Almost always). Finally, they responded to the question “When you have suicidal thoughts, do they tend to be more in words or more in images?” on a dichotomous scale, that is, 0 (words) or 1 (images).

Results

Participants reported moderate levels of suicidal mental imagery (M = 2.51, SD = 1.30) and suicidal verbal thoughts (M = 2.23, SD = 1.22). Nearly three quarters (74.36%) of the sample reported some degree of suicidal mental imagery, 64.10% of the sample reported some degree of suicidal verbal thoughts, and 51.28% of the sample reported some degree of both suicidal mental imagery and suicidal verbal thoughts. When asked whether they tend to experience suicidal cognitions more as imagery or more as verbal thoughts, 56.41% said they experienced suicidal cognitions predominantly as imagery. See Table 1 for correlations among study variables. There were no missing values, and no univariate outliers were detected.

Table 1.

Descriptive Statistics and Bivariate Correlations Among Primary Study Variables.

Primary Study Variables M (SD)/n (%) 1 2 3 4 5 6
1. Suicidal Mental Imagery 2.51 (1.30) −.19 42** .48** .46** 67***
2. Suicidal Verbal Thoughts 2.23 (1.22) .06 .20 −.06 .08
3. Average Intensity of Suicidal Cognitions 2.36 (1.06) .72*** .39* .26
4. Worst Point Intensity of Suicidal Cognitions 2.92 (1.13) .59*** .39*
5. Duration of Suicidal Cognitions 3.85 (1.99) .15
6. Depressive Symptomsa 23.38 (11.01)
7. Predominantly Suicidal Mental Imagery 22 (56.4%)

Note. Predominantly suicidal imagery refers to the proportion of participants self-reporting that the majority of the time, their suicidal cognitions take the form of mental images (rather than words).

*

p < .05.

**

p < .01.

***

p < .001.

a

On average, the sample exceeded the clinical cutoff of 16 for depressive symptoms on the CES-D with 76.92% of the sample (n = 30) reporting clinically elevated symptoms.

Hierarchical linear regression models were tested to evaluate whether suicidal mental imagery predicted characteristics of suicidal cognitions over and above depressive symptom severity and suicidal verbal thoughts (see Table 2). Suicidal mental imagery predicted more intense suicidal cognitions on average (B = 0.37, SE = .16, 95% CI [0.05, 0.69], p = .03) and at their worst point (B = 0.42, SE = .16, 95% CI [0.10, 0.73], p = .01) and was associated with longer duration of suicidal cognitions (B = 0.89, SE = .29, 95% CI [0.30, 1.48], p = .004).

Table 2.

Hierarchical Linear Regression Analyses for Associations Between Suicidal Mental Imagery and Characteristics of Suicidal Cognitions (Average Intensity, Intensity at Worst Point, and Duration).

Average Suicide Cognition Intensity Intensity of Worst Suicide Cognitions Duration of Suicide Cognitions
Step Statistics Final Statistics Step Statistics Final Statistics Step Statistics Final Statistics
Predictors ΔR2 B (SE) B (SE) ΔR2 B (SE) B (SE) ΔR2 B (SE) B (SE)
Step 1 .07 .15* .02
Depressive Symptoms .03 (.02) .00 (.02) .04 (.02)* .01 (.02) .03 (.03) −.03 (.03)
Step 2 .00 .03 .05
Verbal Suicidal Thoughts .03 (.14) .12 (.14) .16 (.14) .27 (.14) −.I2 (.27) .11 (.25)
Step 3 .12* .14* 21**
Suicidal Mental Imagery .37 (.16)* .37 (.16)* .42 (.16)* .42 (.16)* .89 (.29)** .29 (.29)**
Total R2 .19 .32** .23*

p < .06.

*

p < .05.

**

p < .01.

***

p < .001.

A series of hierarchical binary logistic regression models were then conducted to assess associations between suicidal mental imagery and likelihood of suicide plans and behaviors after controlling for depressive symptom severity and suicidal verbal thoughts (see Table 3). Individuals reporting higher levels of suicidal mental imagery were more likely to have made a suicide plan, B = 1.01, SE = 0.43, AOR 2.76, 95% CI [1.19, 6.40], p = .02, or a suicide attempt, B = 1.05, SE = 0.48, AOR = 2.85, 95% CI [1.11, 7.31], p =.03. No significant association was found between suicidal mental imagery and likelihood of suicidal behaviors without intent, B = 0.50, SE = 0.39, AOR = 1.66. 95% CI [0.77, 3.58], p = .20. Two multivariate outliers were detected for models predicting suicide plans and attempts. Models were run with and without outliers. The pattern of results was identical; thus, all cases were retained.

Table 3.

Binary Logistic Regression Analyses for Associations Between Suicidal Mental Imagery and Likelihood of Suicide Plan, Suicidal Behavior Without Intent, and Suicide Attempts.

Suicide Plan Suicidal Behavior Without Intent Suicide Attempt
Predictors B (SE) Wald AOR 95% CI B (SE) Wald AOR 95% CI B (SE) Wald AOR 95% CI
Step 1
Depressive Symptoms 0.06 (0.04) 2.85 1.06 0.99, 1.14 0.02 (0.04) 0.37 1.02 0.95, 1.10 0.01 (0.04) 0.09 1.01 0.94, 1.08
Step 2
Depressive Symptoms 0.06 (0.04) 2.87 1.06 0.99, 1.14 0.02 (0.04) 0.35 1.02 0.95, 1.10 0.01 (0.04) 0.07 1.01 0.94, 1.08
Verbal Suicidal Thoughts −0.04 (0.31) 0.02 0.96 0.53, 1.75 0.08 (0.32) 0.07 1.09 0.58, 2.03 0.18 (0.31) 0.35 1.20 0.65,2.21
Step 3
Depressive Symptoms −0.00 (0.04) 0.01 1.00 0.92, 1.09 −0.01 (0.04) 0.09 0.99 0.91, 1.07 −0.06 (0.05) 1.50 0.95 0.86, 1.04
Verbal Suicidal Thoughts 0.31 (0.38) 0.66 1.36 0.65, 2.89 0.24 (0.36) 0.45 1.27 0.63, 2.55 0.58 (0.42) 1.93 1.79 0.79, 4.06
Suicidal Mental Imagery 1.01 (0.43) .5.56 2.76* 1.19, 6.40* 0.50 (0.39) 1.64 1.66 0.77, 3.58 1.05 (0.48) 4.76 2.85* 1.11,7.31*

p < .06.

*

p < .05.

**

p < .01.

***

p < .001.

Note. AOR = Adjusted Odds Ratio; 95% CI = 95% Confidence Interval; Wald = Wald Statistic.

Model Chi-Square for Suicide Plan, χ2(3) = 10.16, p = .02; for Suicidal Behavior Without Intent, χ2(3) = 2.15, p = .54; for Suicide Attempt, χ2(3) = 6.57, p = .09.

Discussion

Suicide research has focused nearly exclusively on the study of suicidal verbal thoughts. However, suicidal mental imagery appears to be very common among individuals at risk of suicide and may confer significant risk beyond what can be explained by suicidal verbal thoughts. Within this sample of emerging adults with suicidal cognitions, nearly 75% of participants reported suicidal mental imagery and 56.41% reported that their suicidal cognitions more often took the form of imagery compared with verbal thoughts. This is consistent with prior work suggesting that suicidal mental imagery is common among those at risk of suicide (Crane et al., 2012; Hales et al., 2011; Holaday & Brausch, 2015; Holmes et al., 2007; Ng et al., 2016).

In addition, after controlling for suicidal verbal thoughts and depressive symptom severity, suicidal mental imagery was associated with more intense and longer duration suicidal cognitions and higher likelihood of having made a suicide plan or attempt. This was not the case for suicidal behavior without intent, suggesting that suicidal mental imagery may be uniquely associated with suicidal intent, perhaps because mental imagery inherently includes some degree of detail. There are multiple reasons why suicidal mental imagery may be particularly impairing. First, suicidal mental imagery may elicit greater negative affect than suicidal verbal thoughts. Notably, negative imagery results in increased negative affect relative to negative verbal thought (Mathews et al., 2013), and rumination has been associated with greater depressed mood when experienced in imagery form (e.g., Lawrence et al., 2018). Second, suicidal mental imagery may be closer to actual perception than verbal thoughts. Mental imagery and perception share largely overlapping neural circuitry (e.g., Ganis et al., 2004), and individuals consistently rate mental imagery to be more realistic than verbal thought (Holmes & Mathews, 2010). Individuals who mentally imagine suicidal content may respond as if viewing that content in real life, potentially increasing the likelihood of suicidal behavior. Finally, mentally imagining suicide may serve as a form of rehearsal of suicidal behavior, again increasing risk for suicide. Mentally imagining an action can increase the chance of engaging in that action (e.g., Libby et al., 2007), and suicidal mental imagery could serve to habituate individuals to the idea of engaging in suicidal behavior via heightened capability for suicide (Joiner, 2005; Van Orden et al., 2010).

Several limitations of this study warrant future research. First, this study was cross-sectional, and longitudinal research is needed to determine whether suicidal mental imagery prospectively predicts characteristics of suicidal cognitions and suicidal plans and behavior. This information is critically needed to determine whether assessing suicidal mental imagery may help to prevent future suicide. In addition, the sample was modest in size and fairly homogeneous (i.e., predominately female and White); findings should therefore be interpreted with caution. Larger samples are needed to increase confidence in the stability of these effects and to examine the prevalence of suicidal mental imagery within larger and more diverse populations. Recent evidence suggests, for example, that rates of suicide are increasing among specific demographic groups (e.g., Black youth; Bridge et al., 2018) but data are needed to determine whether individuals with different racial or ethnic identities similarly experience suicidal mental imagery. Reliance on self-reported suicidal mental imagery and verbal thought also is limited in that individuals may have difficulty reporting on their own cognitions. That said, suicidal mental imagery and verbal thoughts of suicide are inherently internal processes and self-report of these processes provides valuable information on individuals’ perceptions. Future work should incorporate additional methodologies (e.g., ecological momentary assessment) to bolster the validity of such measurement.

The current study adds to a growing body of literature suggesting that suicidal mental imagery is prevalent and confers significant risk beyond the suicidal verbal typically studied. Results highlight the need for further research on suicidal mental imagery as a potent predictor of suicide risk and potential target of intervention. Clinically, incorporating examination of suicidal mental imagery in assessment of suicide risk has potential to improve prediction and ultimately, prevention, of suicidal behavior. Although empirical testing of intervention approaches is needed, rescripting suicidal mental imagery or mentally imagining reasons for living or using one’s safety plan could be promising. By better understanding the experience of suicidal mental imagery, interventions could ultimately be more effective in reducing suicide risk.

Funding

The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was supported in part by American Foundation for Suicide Prevention (AFSP) grants awarded to HRL (PDF-0-095-19) and JN (PDF-010517), and grants from the National Institute of Mental Health awarded to RSM (R15MH116341) and JN (K23MH122669).

Author Biographies

Hannah Lawrence, PhD, is a postdoctoral fellow in the Center for Depression, Anxiety, and Stress Research at McLean Hospital/Harvard Medical School. Her research examines on the role of mental imagery in the etiology and treatment of mood disorders.

Jacqueline Nesi, PhD, is an assistant professor at Brown University. Her research focuses on the risks and benefits of technology use among youth and the impact of social media on adolescents’ mental health.

Rebecca Schwartz-Mette, PhD, is an associate professor at the University of Maine. Her research focuses on the intersection of emotional adjustment and peer relationships in childhood and adolescence.

Footnotes

Declaration of Conflicting Interests

The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Open Practices

The raw data, analysis code, and materials used in this study are not openly available but are available upon request to the corresponding author. Data and materials for this study have not been made publicly available. The design and analysis plans were not preregistered.

1.

Although emerging adulthood often is defined as 18- to 25-years-old, the present study included participants up to age 29 given that all participants were in a similar developmental stage (i.e., college students).

References

  1. Bridge JA, Horowitz LM, Fontanella CA, Sheftall AH, Greenhouse J, Kelleher KJ, & Campo JV (2018). Age-related racial disparity in suicide rates among US youths from 2001 through 2015. JAMA Pediatrics, 172, 697–699. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Crane C, Shah D, Barnhofer T, & Holmes EA (2012). Suicidal imagery in a previously depressed community sample. Clinical Psychology and Psychotherapy, 19, 57–69. 10.1002/cpp.741 [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Duffy ME, Twenge JM, & Joiner TE (2019). Trends in mood and anxiety symptoms and suicide-related outcomes among US undergraduates, 2007–2018: Evidence from two national surveys. Journal of Adolescent Health, 65, 590–598. [DOI] [PubMed] [Google Scholar]
  4. Faul F, Erdfelder E, Lang AG, & Buchner A (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39, 175–191. [DOI] [PubMed] [Google Scholar]
  5. Ganis G, Thompson WL, & Kosslyn SM (2004). Brain areas underlying visual mental imagery and visual perception: An fMRI study. Cognitive Brain Research, 20, 226–241. 10.1016/j.cogbrainres.2004.02.012 [DOI] [PubMed] [Google Scholar]
  6. Hales SA, Deeprose C, Goodwin GM, & Holmes EA (2011). Cognitions in bipolar affective disorder and unipolar depression: Imagining suicide. Bipolar Disorders, 13, 651–661. 10.1111/j.1399-5618.2011.00954.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Holaday TC, & Brausch AM (2015). Suicidal imagery, history of suicidality, and acquired capability in young adults. Journal of Aggression, Conflict and Peace Research. 10.1108/JACPR-10-2014-0146 [DOI] [Google Scholar]
  8. Holmes EA, Crane C, Fennell MJV, & Williams JMG (2007). Imagery about suicide in depression-“flash-forwards”? Journal of Behavior Therapy and Experimental Psychiatry, 38, 423–434. 10.1016/j.jbtep.2007.10.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Holmes EA, & Mathews A (2010). Mental imagery in emotion and emotional disorders. Clinical Psychology Review, 30, 349–362. 10.1016/j.cpr.2010.01.001 [DOI] [PubMed] [Google Scholar]
  10. Joiner TE (2005). Why people die by suicide. Harvard University Press. [Google Scholar]
  11. Lawrence HR, Haigh EAP, Siegle GJ, & Schwartz-Mette RA (2018). Visual and verbal depressive cognition: Implications for the rumination–depression relationship. Cognitive Therapy and Research, 42, 421–435. 10.1007/s10608-018-9890-0 [DOI] [Google Scholar]
  12. Libby LK, Shaeffer EM, Eibach RP, & Slemmer JA (2007). Picture yourself at the polls: Visual perspective in mental imagery affects self-perception and behavior. Psychological Science, 18, 199–203. 10.1111/j.1467-9280.2007.01872.x [DOI] [PubMed] [Google Scholar]
  13. Mathews A, Ridgeway V, & Holmes EA (2013). Feels like the real thing: Imagery is both more realistic and emotional than verbal thought. Cognition & Emotion, 27, 217–229. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Mortier P, Cuijpers P, Kiekens G, Auerbach RP, Demyttenaere K, Green JG, Kessler RC, Nock MK, & Bruffaerts R (2018). The Prevalence of suicidal thoughts and behaviours among college students: A meta-analysis. Psychological Medicine, 48, 554–565. 10.1017/S0033291717002215 [DOI] [PubMed] [Google Scholar]
  15. Ng RMK, Di Simplicio M, McManus F, Kennerley H, & Holmes EA (2016). ‘Flash-forwards’ and suicidal ideation: A prospective investigation of mental imagery, entrapment and defeat in a cohort from the Hong Kong mental morbidity survey. Psychiatry Research, 246, 453–460. 10.1016/j.psychres.2016.10.018 [DOI] [PubMed] [Google Scholar]
  16. Nock MK, Holmberg EB, Photos VI, & Michel BD (2007). Self-injurious thoughts and behaviors interview: Development, reliability, and validity in an adolescent sample. Psychological Assessment. 10.1037/1040-3590.19.3.309 [DOI] [PubMed] [Google Scholar]
  17. Radloff LS (1977). The CES-D Scale: A self-report depression scale for research in the general population. Applied Psychological Measurement. 10.1177/014662167700100306 [DOI] [Google Scholar]
  18. Schultebraucks K, Duesenberg M, Di Simplicio M, Holmes EA, & Roepke S (2020). Suicidal imagery in borderline personality disorder and major depressive disorder. Journal of Personality Disorders, 34, 546–564. [DOI] [PubMed] [Google Scholar]
  19. Sheehan DV, Lecrubier Y, Sheehan KH, Amorim P, Janavs J, Weiller E, Hergueta T, Baker R, & Dunbar GC (1998). The mini-international neuropsychiatric interview (MINI): The development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. The Journal of Clinical Psychiatry, 59(suppl 20), 22–33, quiz 34–57. [PubMed] [Google Scholar]
  20. Van Orden KA, Witte TK, Cukrowicz KC, Braithwaite SR, Selby EA,& Joiner TE(2010). The interpersonaltheoryofsuicide. Psychological Review, 117, 575. 10.1037/a0018697 [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES