Skip to main content
  • Research article
  • Open access
  • Published:

Validation of the German capability for suicide questionnaire (GCSQ) in a high-risk sample of suicidal inpatients

Abstract

Background

The German Capability for Suicide Questionnaire (GCSQ) was developed to measure fearlessness of death and pain tolerance – two constructs central to the Interpersonal Theory of Suicide. Initial scale development, definition of the factor structure and confirmation of the two-dimensional factor structure was performed in samples suffering from relatively low levels of suicide ideation/behavior. The present study aimed to validate the German Capability for Suicide Questionnaire (GCSQ) in a high-risk sample of suicidal inpatients.

Methods

Factor structure, reliability and validity were investigated in a sample of inpatients (N = 296; 53.0% female; age in years: M = 36.81, SD = 14.27) admitted to a hospital due to a recent suicide attempt or an acute suicidal crisis (in immediate need of inpatient treatment). To establish convergent validity, interview-based assessments of lifetime suicide attempts and non-suicidal self-injury as well as questionnaire-based assessments of painful and provocative events were used. Finally, stability of GCSQ-scores over a follow-up period of 12 months was assessed.

Results

Results indicated good psychometric properties, and provided additional evidence for construct validity and stability of the subscales over a one-year period, and demonstrated adequate fit of the data with respect to the original factor structure.

Conclusions

Results suggest that the GCSQ is a brief, reliable, and valid measure of capability for suicide that can be used in clinic assessment and research.

Peer Review reports

Background

The capability to die by suicide, that is, the ability to endure the dread and pain associated with suicide, is a construct central to the understanding of suicidal behavior [1]. Three major theories of suicidal behavior – the Interpersonal Theory of Suicide [IPT [2];], the Integrated Motivational-Volitional (IMV) Model of Suicidal Behaviour [3] and the Three-Step Theory [3-ST [4];] concur on the importance of fearlessness about death and pain tolerance as a differentiating factor between individuals thinking about suicide and individuals attempting suicide or dying by suicide. These so-called ideation-to-action theories [5] agree that suicide ideation is unlikely to result in suicidal behavior if a person is lacking capability for suicide. Within the framework of the IPT, Joiner [2] proposed that engaging in suicidal behavior (e.g., suicide attempts) will most likely lead to acquired capability for suicide. However, a person can also become desensitized to the fear and pain associated with suicide through other painful and provocative events (e.g., combat exposure, childhood abuse). Shifting from the idea that capability for suicide is solely acquired, Klonsky and May [4] recently suggested a broader concept that also considers potential genetic (dispositional capacity) or situational factors (practical capacity). Therefore, the original term acquired capability for suicide has been replaced by the more broad term capability for suicide [6].

Evidence regarding the central role of capability for suicidal behavior is mixed: some studies have shown that fearlessness about death differentiates between suicide ideators and suicide attempters [4, 7,8,9], whereas others found no differences between suicide attempters and ideators or non-ideators with respect to fearlessness about death [10, 11] or pain tolerance [12]. Furthermore, findings on the relevance of an interaction between suicide ideation (or risk factors for suicide ideation) and capability for suicide in predicting suicidal behavior are inconclusive [6, 13]: In a systematic review, Ma et al. [13], found only three (42.8%) out of seven tests on the interaction between two risk factors for suicide ideation (i.e., thwarted belongingness and perceived burdensomeness) and capability for suicide to predict suicide attempt status. Finally, some studies challenge the idea that experiencing painful and provocative events results in a prospective increase in capability for suicide [14]; instead capability for suicide has been shown to fluctuate when assessed on a daily basis [15] and to be rather static when assessed over longer time periods [14, 16]. Although the relevance of capability of suicide is unquestioned [1], the associations involved might be more complex [17].

To assess an individual’s extent of acquired capability, Joiner and colleagues [18] developed the Acquired Capability for Suicide Scale (ACSS) containing 20 items. Ribeiro and colleagues [19] revised the ACSS and presented the Fearlessness about Death-Scale (ACSS-FAD) consisting of seven items assessing solely fearlessness about death. The scale has adequate to good internal consistency (α ranging from 0.77 to 0.85) as well as good construct validity. Overall, the scale proved to be a viable measure of an individual’s extent of fearlessness of death [20]. However, the scale does not assess a person’s pain tolerance. To facilitate the assessment of capability for suicide and its two facets, a German questionnaire, which was based on the original ACSS and assesses both fearlessness of death and dying as well as pain tolerance was developed: the German Capability of Suicide Questionnaire (GCSQ [21];). A validation study was carried out with two clinical (n = 424) and an online sample (n = 532). Exploratory and confirmatory factor analysis showed that the questionnaire indeed comprises two factors: fear about death (GCSQ-FAD scale) and pain tolerance (GCSQ-PT scale). Furthermore, an item assessing the individual’s perceived capability for suicide was retained in the questionnaire (“perceived capability”-item; GCSQ-PC), as it has shown to predict the individual’s suicide attempt history (cf. [12, 22]). The scales and the “perceived capability”-item displayed good construct validity correlating in the expected direction with relevant measures such as pain sensitivity, acceptance of one’s own dying and death, impulsivity and sensation seeking. Furthermore, the GCSQ-pain tolerance scale was shown to predict heightened objective pain tolerance as assessed with a cold-pressure task, as well as risk-taking behavior within a gambling task [23].

Questionnaire development is an iterative process over several stages. Though an inpatient sample (n = 244) was used in the original validation study [21], only 30.6% of the sample had attempted suicide during their lifetime. Hence, it is important to evaluate the psychometric properties and factor structure of the GCSQ in a high-risk sample of suicidal inpatients (cf. [6]). The current study therefore administered the GCSQ in a sample of inpatients admitted to a psychiatric hospital due to severe suicide ideation or a recent suicide attempt and included measures for additional evaluations of construct validity: To assess lifetime suicide attempts and non-suicidal self-injury, the revised form of the Painful and Provocative Events Scale (PPES [24];) and the Self-Injurious Thoughts and Behavior Interview (SITBI [25];) were included. Finally, stability of GCSQ-scores was assessed within a follow-up period of 6, 9 and 12 months.

Methods

Participants and procedure

The current study is part of a multicenter study on risk factors for suicide attempts called “Predictors of suicidal ideation and suicidal behavior in a high-risk sample (PRESS)” (see also [12]). The total sample comprised 308 inpatients (53.6% female; age: M = 36.92, SD = 14.30) admitted to a hospital due to attempted suicide or an acute suicidal crisis (in immediate need of inpatient treatment). Data on the GCSQ were available for 296 inpatients (53.0% female; age in years: M = 36.81, SD = 14.27). The most common primary diagnoses according to the International Classification of Diseases (ICD-10) were affective disorders (n = 228; 77.0%), mental and behavioral disorders due to psychoactive substance use (n = 56; 18.9%) as well as neurotic, stress-related and somatoform disorders (n = 106; 35.8%). One hundred and ninety-one (64.54%) patients reported at least one lifetime suicide attempt.

Data were collected in 13 psychiatric hospitals in Germany. If patients agreed to participate, the Self-Injurious Thoughts and Behaviors Interview (SITBI [25];) and the “Diagnostisches Interview bei psychischen Störungen – Short version” (MINI-DIPS), a structured clinical interview with well-established reliability, validity, and patient acceptance [26] were conducted by trained clinical psychologists. Additional questionnaires were presented in a paper-pencil version. Psychiatric inpatients were interviewed at the latest 14 days after admission to a psychiatric ward (T0) and again after six (T1), nine (T2) and 12 months (T3). The T1 and T2 assessments were conducted by phone, with questionnaires sent by mail; the T3 assessment was conducted at one of the participating treatment centers. The vast majority of assessments took place within a period of ten to 14 days of the reference day. Participants who took part in all four assessments (n = 118) did not differ from other participants regarding age, gender, lifetime number of non-suicidal self-injury and painful and provocative events. However, they did differ regarding lifetime number of suicide attempts, t(290) = 2.55, p = .01. As such, participants who took part in all four assessments had attempted suicide less frequently in their lifetime than participants who did not take part in all four assessments.

All participants were informed about the aim of the study, the voluntary nature of their participation, data storage and data security. All participants gave written informed consent before partaking. The study was approved by the responsible Ethics Committees (EK 310/13, Medical Faculty of RWTH Aachen University; 4909-14, Medical Faculty of the Ruhr University Bochum; 042-14-27,012,014, Medical Faculty of the University of Leipzig).

Measures

German Capability for Suicide Questionnaire (GCSQ [21, 23];)

The GCSQ is an 11-item self-report measure comprising two scales: one scale assesses fearlessness about death (GCSQ-FAD) with five items (e.g., “I am very much afraid to die”), and the other scale assesses subjective pain tolerance (GCSQ-PT) with five items (e.g., “When in pain, I clench my teeth and carry on.”). Furthermore, the GCSQ contains a perceived capability item (GCSQ-PC: “I could kill myself, if I wanted to.”). Items are answered on a scale ranging from 1 (“I fully agree”) to 5 (“I do not agree at all”). Higher scores indicate greater fearlessness and/or pain tolerance.

Painful and Provocative Events Scale-German (PPES-G [24];)

The German version of the PPES comprises two subscales assessing lifetime experiences with passive painful and provocative events (i.e., physical and sexual abuse) with 4 items and active painful and provocative events (e.g., rock climbing, gun shooting) with 8 items. Items are rated on a 5-point Likert scale ranging from 1 (“never”) to 5 (“more often than 20”). Internal consistency was shown to be modest (α ≥ 0.63) in the validation study [24], as well as in the current sample: α = 0.69 for passive PPE and α = 0.67 for active PPE. Low construct reliabilities have repeatedly been reported for the PPES [19], which is commonly explained by the fact that the items in a life event measure are largely independent events and thus do not necessarily share much common variance [19].

Self-Injurious Thoughts and Behaviors Interview (SITBI [25];)

The SITBI is a structured interview that assesses the presence, frequency, and characteristics of a wide range of self-injurious thoughts and behaviors. Within the current analysis, the following items were used to assess a lifetime history of suicide attempts: “How many suicide attempts have you made in your lifetime?” (Item 40) and “How many times in your life have you engaged in NSSI” (Item 65). Interrater- and retest-reliability as well as convergent validity of the German version of the SITBI [27] have been shown to be adequate.

Statistical analyses

First, an item analysis was conducted to investigate the means, standard deviations, skewness, kurtosis, and corrected item-total correlation of the GCSQ in a high-risk sample. A corrected item-total correlation of > .30 indicates an acceptable correlation [28]. Additionally, to test whether items of the GCSQ are useful to measure variability in the capability for suicide and to investigate whether the items are too sensitive (easy item) or too specific (hard item), the item difficulty was investigated. Participants tend to rate “easy items” more likely higher than items with a moderate item difficulty, so that very easy items are too sensitive compared with other items of the scale: Most of the participants would be identified as potentially having a higher fearlessness about death or higher pain tolerance. Contrarily, participants rate hard items more likely with lower scores compared with moderate items. Thus, such items could identify most participants as having a lower fearlessness about death or lower pain tolerance. An item difficulty index of > 85% indicates an easy item, whereas an item difficulty index of between 51 and 84% indicates a moderate item, and hard items have an item difficulty index of < 51%. An ideal difficulty index is about 70% for 5-point Likert scales [29].

In order to test the original two-factor structure of the GCSQ [21] in a high-risk sample, a confirmatory factor analysis (CFA) was conducted. Considering the skewness and kurtosis of the items as well as the ordinally distributed data, a weighted least squares-mean robust estimator (WLSM) was used. For comparison, the one-factor model was also tested. To estimate the model fit of the one-factor and the two-factor solution of the GCSQ, the following goodness of fit indices were calculated: the relative χ22/df), the root-mean-square-error-of-approximation (RMSEA) including the 90% confidence interval (90%-CI), the comparative-fit-index (CFI), the Tucker–Lewis index (TLI), and the standardized root-mean-square residual (SRMR). A relative χ2 of < 3 indicates a good model fit [30]. A CFI and a TLI of > 0.90 are indicators of an adequate fit, whereas values > 0.95 indicate a good fit [30, 31]. For the RMSEA, values of < 0.05 indicate a good model fit, whereas values between < 0.08 and > 0.05 can be seen as reasonable fit [32]. In case of the SRMR, values of < 0.09 represent a good model fit [33].

McDonald’s ω [34,35,36] was calculated for the subscales of the GCSQ to investigate the internal consistencies, because structural equation modeling based methods are relatively robust regarding biases due to low numbers of items [37, 38]. To receive a comprehensive picture of the internal consistencies of both subscales, ω was calculated for each subscale and each measurement point (T0-T3). The internal consistency is interpreted as follows: ω < 0.50: unacceptable; ω < 0.60: poor; ω < 0.70: questionable; ω < 0.80: acceptable; ω < 0.90: good; ω ≥ 0.90: excellent.

Test-retest-reliability over the four measurement time points (T0-T3) was investigated by using the measurement of the mean of four measurements intraclass correlation coefficient (ICC) with the 95%-confidence interval (95%-CI), by using a two-way random-effects model. ICC is interpret as follows: < 0.50: poor, 0.50 - ≤ 0.75: moderate, 0.75 - ≤ 0.90: good, and > 0.90: excellent [39].

The distribution of data was investigated by using the Kolmogorov-Smirnov-test. Due to the ordinal distribution of data, non-parametric methods were used to analyze the data. For all analyses, a pairwise deletion of cases with missing data was used. For the investigation of the convergent validity, the associations between GCSQ scores and criterion measures were analyzed with Spearman’s rank-correlation coefficients (rS).

Results

Item analysis and item-total correlation

The item analysis showed that participants in this study reported a medium manifestation of capability for suicide, due to the fact that the means of items ranged from 2.887 – 3.993 (see Table 1). Item difficulties showed a moderate index for all items, with an ideal item difficulty index of about 70% for most of the items. Additionally, all items showed acceptable corrected item-total correlations of > .388.

Table 1 Results of the item analysis and the item-total correlation analysis of the German Capability for Suicide Questionnaire

Confirmatory factor analysis

The CFA for the one-factor solution of the GCSQ showed an insufficient model fit: relative χ2 = 15.46; CFI = 0.84, TLI = 0.79, RMSEA = 0.162 (90%-CI: 0.150 - 0.174), and SRMR = 0.139. In contrast, the CFA showed an overall excellent model fit for the two-factor solution of the GCSQ (see Fig. 1). The CFA revealed a relative χ2 of 1.88, which is an indicator of a good model fit. In addition, the other indicators indicate an excellent model fit for the two-factor solution of the GCSQ: CFI = 0.99, TLI = 0.98, RMSEA = 0.041 (90%-CI: 0.025 - 0.056), and SRMR = 0.049. Furthermore, all items showed medium to high standardized factor loadings on the assigned factors, ranging from 0.45 – 0.91.

Fig. 1
figure 1

Structural equation model with pathways between the two factors of the German Capability for Suicide Questionnaire

Internal consistency

The internal consistency of subscales of the GCSQ was investigated by calculating ω for all four measurement points (T0-T3). The results revealed a good internal consistency of the GCSQ-FAD for T0 with ω = 0.88 (n = 295) and for T1 with ω = 0.87 (n = 170) and an excellent internal consistency for T2 with ω = 0.91 (n = 165) and for T3 with ω = 0.90 (n = 150). The GCSQ-PT subscale revealed an acceptable internal consistency at all four measurement points (T0: ω = 0.74, n = 296; T1: ω = 0.73, n = 169; T2: ω = 0.78, n = 165; T3: ω = 0.70, n = 150). Thus, the internal consistency of both subscales, measured in a high-risk inpatients sample, is in a comparable range as reported by Wachtel et al. [21].

Test-retest-reliability

The test-retest-reliability was investigated for both subscales of the GCSQ and the GCSQ-PC item in a subsample of n = 118 (38.6%) participants who took part in all four measurement time points (T0-T3). The investigation of the ICC across all four measurement time points for this subsample revealed an excellent test-retest-reliability (ICC: .94 [95%-CI: .92 - .96]) for the GCSQ. An ICC of 0.92 (95%-CI: 0.90 - 0.94) for the GCSQ-FAD and an ICC of 0.92 (95%-CI: 0.90 - 0.94) for the GCSQ-PT subscales indicate an excellent test-retest-reliability of both subscales of the GCSQ. For the GCSQ-PC item, an ICC of 0.78 (95%-CI: 0.70 - 0.84) was observed, which indicates a good test-retest-reliability of this item.

Convergent validity

As illustrated in Table 2, the fearlessness about death subscale of the GCSQ (GCSQ-FAD), the pain tolerance subscale of the GCSQ (GCSQ-PT), and the perceived capability item of the GCSQ (GCSQ-PC) showed significant intercorrelations.

Table 2 Results of Spearman’s rank correlation analyses

Table 2 additionally shows that higher scores in the GCSQ-FAD subscale are significantly associated with higher scores in the PPES passive subscale, the PPES active subscale, and more lifetime NSSI measured with the SITBI. The GCSQ-PT subscale showed a significant positive association with the PPES active subscale. Furthermore, the higher scores at the GCSQ-PC item were significantly associated with higher scores in the PPES passive subscale, and with more lifetime suicide attempts as well as with more lifetime NSSI measured with the SITBI.

Discussion

The current study provides additional evidence for the psychometric properties of the GCSQ using a high-risk sample of suicidal inpatients. Importantly, this study offers support for the 2-factor structure - with one factor “Fearlessness of Death” and the second factor “Pain Tolerance” - in a sample that is more representative of the scale’s target population than the samples previously investigated [21, 23]. The subscales demonstrated moderate to good internal consistencies and acceptable item-total correlations. Also, the subscales and the “perceived capability”-item correlated, which underlines that the facets of capability for suicide are not fully independent of each other. Furthermore, GCSQ-scores were shown to be stable over a follow-up period of 12 months, supporting the trait-like character of capability for suicide (cf. [14, 16]).

This study also provides additional evidence for the construct validity of the GCSQ. As such, it was shown that “Fearlessness of death” and “Perceived capability” were associated with lifetime number of non-suicidal self-injury and the “Perceived capability” was shown to be associated with lifetime number of suicide attempts. Active painful and provocative events (e.g., rock climbing, gun shooting) were associated with “Fearlessness of Death” and “Pain Tolerance”; whereas passive painful and provocative events (i.e., childhood trauma), were associated with “Fearlessness of Death” and “Perceived capability”. The rather modest size of all correlations is in line with previous findings [19, 21, 24] and underlines the necessity to not perceive capability of suicide exclusively as a product of previous painful and provocative events or self-injurious behavior (cf. [4]). In addition, the pattern of findings refers to the differential associations of the various facets of capability and thus to the necessity of covering capability of suicide broadly and not limiting it to one facet (cf. [40]).

The role of pain tolerance, however, remains unclear: First of all, internal consistencies of the scale are remarkably lower than for the GCSQ-FAD scale, and in addition, the GCSQ-PT scale is hardly associated with relevant markers of suicide risk (cf. [21]). Although Wachtel et al. [23] found an association between GCSQ-PT scores and objective pain tolerance (assessed with a cold-pressor task), this finding was not replicated by Paashaus et al. [12] who assessed pain tolerance with a pressure algometer. Furthermore, using the current study sample, Paashaus et al. [12] found no differences in GCSQ-PT scores between suicide ideators and suicide attempters (the same being true for GCSQ-FAD scores). In general, it seems to be difficult to capture the concept of insensitivity to pain in self-report [41], so it may be appropriate to measure pain tolerance using objective pain tests whenever possible (cf. [42]). However, only certain quality of pain can be induced by specific pain induction methods, therefore, a comprehensive assessment of self-reported pain tolerance cannot be completely avoided.

The current study complements previous studies emphasizing the importance of “Perceived capability”: An individual’s perception of one’s own capability to attempt suicide significantly predicted attempt status and the occurrence of suicidal behaviors in previous studies [21, 43] and differentiated between those who had attempted suicide from those who had not in the current study sample [12] as well as in an Australian student sample [22]. Therefore, it seems reasonable and important to ask that very question in a clinical context: “I could kill myself if I wanted to ­ how strongly do you agree with that statement?”

Several limitations have to be considered when interpreting the results of the present study. First of all, the GCSQ was not compared to existing measures of capability of suicide. Comparisons with the Acquired Capability with Rehearsal for Suicide Scale (ACWRSS [40];) and the Suicide Capacity Scale (SCS-3 [4];) would be of particular interest. The ACWRSS is a 7-item questionnaire based on the traditional idea that capability is acquired through preparation behavior, whereas the SCS-3 is a 6-item measure assessing dispositional, acquired and practical capability for suicide. The GCSQ-FAD scale shares most items with the ACSS-FAD presented by Ribeiro and colleagues [19], therefore comparisons with the ACSS-FAD seem of less interest. Second, the current study lacks an analysis of the predictive abilities of the GCSQ to prospectively predict suicide attempts; however – using the current study sample – Forkmann et al. (Forkmann T, Glaesmer H, Paashaus L, Rath D, Schönfelder A, Juckel G, Assion J, Stengler K, Teismann T: Interpersonal-psychological theory of suicide: a prospective examination, submitted) found no indication that capability for suicide is predictive of future suicide attempts. Prospective studies using different measures to assess capability for suicide have to be awaited before determining whether methodological or theoretical inaccuracies underlie this finding. Nevertheless, the central importance of the capability construct for understanding suicidal behavior is strongly questioned by current evidence (cf. [6, 12, 13] (Forkmann T, Glaesmer H, Paashaus L, Rath D, Schönfelder A, Juckel G, Assion J, Stengler K, Teismann T: Interpersonal-psychological theory of suicide: a prospective examination, submitted)). This is all the more true since two recent studies have comprehensively shown that no simple algorithm (i.e., a single factor such as capability for suicide) can accurately distinguish between suicide attempters and suicide ideators [44] or between (lifetime) suicide attempters and individuals engaging in non-suicidal self-injury [45]. These findings imply that recent ideation-to-action models do not sufficiently take into account the complexity of suicidal behaviour.

Conclusion

In summary, the current results suggest that the GCSQ is a brief, reliable, and valid measure of capability for suicide that can be used in clinic and research settings.

Availability of data and materials

All relevant data are reported within the paper. Analyzed data are available from the corresponding author on reasonable request. English language versions of all questionnaires used in the current study have already been published. The corresponding citations can be found below.

Abbreviations

ACSS:

Acquired Capability for Suicide Scale

ACSS-FAD:

Acquired Capability for Suicide Scale - Fearlessness about Death-Scale

ACWRSS:

Acquired Capability with Rehearsal for Suicide Scale

CFA:

Confirmatory factor analysis

CFI:

Comparative-fit-index

GCSQ:

German Capability for Suicide Questionnaire

GCSQ-FAD:

German Capability for Suicide Questionnaire - Fearlessness about Death-Scale

GCSQ-PT:

German Capability for Suicide Questionnaire – Pain tolerance scale

GCSQ-PC:

German Capability for Suicide Questionnaire – Perceived Capability

ICC:

Intraclass correlation coefficient

IMV:

Integrated Motivational-Volitional Model of Suicidal Behaviour

IPT:

Interpersonal Theory of Suicide

MINI-DIPS:

Diagnostisches Interview bei psychischen Störungen – Short version

NSSI:

Non-suicidal self-injury

PPES:

Painful and Provocative Events Scale

RMSEA:

Root-mean-square-error-of-approximation

SITBI:

Self-Injurious Thoughts and Behavior Interview

SRMR:

Standardized root-mean-square residual

TLI:

Tucker–Lewis index

WLSM:

Weighted least squares-mean robust estimator

References

  1. May AM, Victor SE. From ideation to action: recent advances in understanding suicide capability. Curr Opin Psychol. 2018;22:1–6.

    PubMed  Google Scholar 

  2. Joiner TE. Why people die by suicide. Cambridge: Harvard University Press; 2005.

    Google Scholar 

  3. O’Connor R. Towards an integrated motivational-volitional model of suicide behavior. In R O’Connor R, Platt S, Gordon J (Eds.), international handbook of suicide prevention: research policy and practice (pp. 181-198). Oxford: Wiley; 2011.

    Google Scholar 

  4. Klonsky ED, May AM. The three-step theory (3ST): a new theory of suicide rooted in the “ideation-to-action” framework. Int J Cogn Ther. 2015;8:114–29.

    Google Scholar 

  5. Klonsky ED, Saffer BY, Bryan CJ. Ideation-to-action theories of sucide: a conceptual and empirical update. Curr Opin Psychol. 2018;22:38–43.

    PubMed  Google Scholar 

  6. Chu C, Buchman-Schmitt JM, Stanley IH, Hom MA, Tucker RP, Hagan CR, et al. The interpersonal theory of suicide: a systematic review and meta-analysis of a decade of cross-national research. Psychol Bull. 2017;143:1313–45.

    PubMed  PubMed Central  Google Scholar 

  7. Dhingra K, Boduszek D, O’Connor RC. Differentiating suicide attempters from suicide ideators using the integrated motivational-volitional model of suicidal behaviour. J Affect Disord. 2015;186:211–8.

    PubMed  Google Scholar 

  8. Dhingra K, Klonsky ED, Tapola V. An empirical test of the three-step theory of suicide in U.K. university students. Suicide Life-Threat Behav. 2019;49:478–87.

    PubMed  Google Scholar 

  9. Smith PN, Cukrowicz KC, Poindexter EK, Hobson V, Cohen LM. The acquired capability for suicide: a comparison of suicide attempters, suicide ideators, and non-suicidal controls. Depress Anxiety. 2010;27:871–7.

    PubMed  PubMed Central  Google Scholar 

  10. Burke TA, Ammerman BA, Knorr AC, Alloy LB, McCloskey MS. Measuring acquired capability for suicide within an ideation-to-action framework. Psychol Violence. 2018;8:277–86.

    PubMed  Google Scholar 

  11. Ren Y, You J, Zhang X, Huang J, Conner BT, Sun R, et al. Differentiating suicide attempters from suicide ideators: the role of capability for suicide. Arch Suicide Res. 2019;23:64–81.

    PubMed  Google Scholar 

  12. Paashaus L, Forkmann T, Glaesmer H, Juckel G, Rath D, Schönfelder A, Engel P, Teismann T. Do suicide attempters and suicide ideators differ in capability for suicide? Psychiatry Res. 2019;275:304–9.

    PubMed  Google Scholar 

  13. Ma JS, Batterham PJ, Calear AL, Han J. A systematic review of the predictions of the interpersonal-psychological theory of suicidal behavior. Clin Psychol Rev. 2016;46:34–45.

    PubMed  Google Scholar 

  14. Bryan CJ, Sinclair S, Heron EA. Do military personnel “acquire” the capability for suicide from combat? A test of the interpersonal-psychological theory of suicide. Clin Psychol Sci. 2016;4:376–85.

    Google Scholar 

  15. Spangenberg L, Glaesmer H, Hallensleben N, Rath D, Forkmann T. (in) stability of capability for suicide in psychiatric inpatients: longitudinal assessment using ecological momentary assessments. Suicide Life Threat Behav. 2019;49:1560–72.

    PubMed  Google Scholar 

  16. Velkoff EA, Smith AR. Examining patterns of change in the acquired capability for suicide among eating disorder patients. Suicide Life-Threat. 2019;49:1032–43.

    Google Scholar 

  17. Huang X, Ribeiro JD, Franklin JC. The differences between suicide ideators and suicide attempters: simple, complicated, or complex? J Consult Clin Psychol. 2020;88(6):554–69. Advance online publication. https://doi.org/10.1037/ccp0000498.

    Article  PubMed  Google Scholar 

  18. Joiner TE, Van Orden KA, Witte TK, Rudd MD. The interpersonal theory of suicide: guidance for working with suicidal clients. Washington: American Psychological Association; 2009.

  19. Ribeiro JD, Witte TK, Van Orden KA, Selby EA, Gordon KH, Bender TW, et al. Fearlessness about death: the psychometric properties and construct validity of the revision to the acquired capability for suicide scale. Psychol Assess. 2014;26:115–26.

    PubMed  Google Scholar 

  20. Spangenberg L, Hallensleben N, Friedrich M, Teismann T, Kapusta ND, Glaesmer H. Dimensionality, psychometric properties and population-based norms of the German version of the revised acquired capability for suicide scale (ACSS-FAD). Psychiatry Res. 2016;238:46–52.

    PubMed  Google Scholar 

  21. Wachtel S, Vocks S, Edel MA, Nyhuis P, Willutzki U, Teismann T. Validation and psychometric properties of the German capability for suicide questionnaire. Compr Psychiatry. 2014;55:1292–302.

    PubMed  Google Scholar 

  22. Rimkeviciene J, Hawgood J, O’Gorman J, De Leo D. Construct validity of the acquired capability for suicide scale: factor structure, convergent and discriminant validity. J Psychopathol Behav Assess. 2017;32:291–302.

    Google Scholar 

  23. Wachtel S, Siegmann P, Ocklenburg C, Hebermehl L, Willutzki U, Teismann T. Acquired capability for suicide, pain tolerance, and fearlessness of pain: validation of the pain tolerance scale of the German capability for suicide questionnaire. Suicide Life-Threat. 2015;45:541–55.

    Google Scholar 

  24. Teismann T, Forkmann T, Wachtel S, Edel MA, Nyhuis P, Glaesmer H. The German version of the painful and provocative events scale: a psychometric investigation. Psychiatry Res. 2015;226:264–72.

    PubMed  Google Scholar 

  25. Nock MK, Holmberg EB, Photos VI, Michel BD. Self-injurious thoughts and behaviors interview: development, reliability, and validity in an adolescent sample. Psychol Assess. 2007;19:309–17.

    PubMed  Google Scholar 

  26. Margraf J, Cwik JC, Pflug V, Schneider S. Strukturierte klinische Interviews zur Erfassung psychischer Störungen über die Lebensspanne: Gütekriterien und Weiterentwicklungen der DIPS-Verfahren. Z Klin Psychol Psychother. 2017;46:176–86.

    Google Scholar 

  27. Fischer G, Ameis N, Parzer P, Plener PL, Groschwitz R, Vonderlin E, et al. The German version of the self-injurious thoughts and behaviors interview (SITBI-G): a tool to assess non-suicidal self-injury and suicidal behavior disorder. BMC Psychiatry. 2014;14:1–8.

    Google Scholar 

  28. Nunnally JC, Bernstein ICH. Psychometric theory. 3rd ed. New York: McGraw Hill; 1994.

    Google Scholar 

  29. Lord FM. The relation of the reliability of multiple-choice tests to the distribution of item difficulties. Psychometrika. 1952;18:181–94.

    Google Scholar 

  30. Hu L, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model. 1999;6:1–55.

    Google Scholar 

  31. Bentler PM. Comparative fit indexes in structural models. Psychol Bull. 1990;107:238–46.

    CAS  PubMed  Google Scholar 

  32. MacCallum RC, Browne MW, Sugawara HM. Power analysis and determination of sample size for covariance structure modeling. Psychol Methods. 1996;1:130–49.

    Google Scholar 

  33. Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate data analysis, 7th ed. edn. Pearson: Prentice Hall; 2010.

    Google Scholar 

  34. McDonald RP. Test theory: a unified treatment. Mahwah: Lawrence Erlbaum Associates, Inc.; 1999.

    Google Scholar 

  35. McDonald RP. Generalizability in factorable domains: domain validity and generalizability. Edu Psychol Measurement. 1978;38:75–9.

    Google Scholar 

  36. McDonald RP. The theoretical foundations of principal factor analysis, canonical factor, and alpha factor analysis. B J Math Stat Psychol. 1970;23:1–21.

    Google Scholar 

  37. Sijtsma K. On the use, the misuse, and the very limited usefulness of Cronbach's alpha. Psychometrika. 2009;74:107–20.

    PubMed  Google Scholar 

  38. Graham JM. Congeneric and (essentially) tau-equivalent estimates of score reliability: what they are and how to use them. Edu Psychol Measurement. 2006;66:930–44.

    Google Scholar 

  39. Koo TK, Li MY. A guideline of selecting and reporting Intraclass correlation coefficients for reliability research. J Chiroprac Med. 2016;15:155–63.

    Google Scholar 

  40. George SE, Page AC, Hooke GR, Stritzke WGK. Multifacet assessment of capability for suicide: development and prospective validation of the acquired capability with rehersal for suicide scale. Psychol Assess. 2016;28:1452–64.

    PubMed  Google Scholar 

  41. Edwards RR, Fillingim RB. Self-reported pain sensitivity: lack of correlation with pain threshold and tolerance. Eur J Pain. 2007;11:594–8.

    PubMed  Google Scholar 

  42. Paashaus L, Forkmann T, Glaesmer H, Juckel G, Rath D, Schönfelder A, Teismann T. Pain persistence and lethality of suicide attempts. Clin Psychol Psychother. 2020. Advance online publication; https://doi.org/10.1002/cpp.2438.

  43. Rimkeviciene J, Hawgood J, O’Gorman J, De Leo D. Assessment of acquired capability for suicide in clinical practice. Psychol Health Med. 2016;21:954–63.

    PubMed  Google Scholar 

  44. Huang X, Ribeiro JD, Franklin JC. The difference between suicide ideators and suicide attempt: simple, complicated or complex? J Consult Clin Psychol. 2020;88:554–69.

    PubMed  Google Scholar 

  45. Huang X, Ribeiro JD, Franklin JC. The difference between individuals engaging in nonsuicidal self-injury and suicide attempt are complex (vs. complicated or simple). Front Psychiatry. 2020;11:239.

    PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

None.

Funding

The study was funded by a grant from the German Research Society (Deutsche Forschungsgemeinschaft, DFG) to Heide Glaesmer (GL 818/3-1), Thomas Forkmann (FO 784/3-1), Tobias Teismann (TE 747/4-1) and Georg Juckel (JU 366/8-1). The sponsors had no role in the study design, collection, analysis, or interpretation of the data; or the preparation and approval of the manuscript. Open access funding provided by Projekt DEAL.

Author information

Authors and Affiliations

Authors

Contributions

TT, JCC, TF, HG, SP, and GJ originated the idea. JCC performed the statistical analyses. LP, AS, DR contributed to data collection. TT and JCC wrote the first manuscript draft. All authors contributed to the interpretation of the results and the writing and critical reviewing of the final manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Tobias Teismann.

Ethics declarations

Ethics approval and consent to participate

All participants provided written informed consent. Furthermore, all procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. The study was approved by the responsible Ethics Committees (EK 310/13, Medical Faculty of RWTH Aachen University; 4909-14, Medical Faculty of the Ruhr University Bochum; 042-14-27012014, Medical Faculty of the University of Leipzig).

Consent for publication

All participants provided consent to publish all anonymized data reported in this publication.

Competing interests

All authors declare that they have no competing interest.

Additional information

Publisher’s Note

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

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Cwik, J.C., Forkmann, T., Glaesmer, H. et al. Validation of the German capability for suicide questionnaire (GCSQ) in a high-risk sample of suicidal inpatients. BMC Psychiatry 20, 412 (2020). https://doi.org/10.1186/s12888-020-02812-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12888-020-02812-9

Keywords