- Open Access
Development and validation of the suicidal behaviours questionnaire - autism spectrum conditions in a community sample of autistic, possibly autistic and non-autistic adults
Molecular Autism volume 12, Article number: 46 (2021)
Autistic people and those with high autistic traits are at high risk of experiencing suicidality. Yet, there are no suicidality assessment tools developed or validated for these groups.
A widely used and validated suicidality assessment tool developed for the general population (SBQ-R), was adapted using feedback from autistic adults, to create the Suicidal Behaviours Questionnaire—Autism Spectrum Conditions (SBQ-ASC). The adapted tool was refined through nine interviews, and an online survey with 251 autistic adults, to establish clarity and relevance of the items. Subsequently, 308 autistic, 113 possibly autistic, and 268 non-autistic adults completed the adapted tool online, alongside self-report measures of autistic traits (AQ), camouflaging autistic traits (CAT-Q), depression (PHQ-9), anxiety (ASA-A), thwarted belongingness and perceived burdensomeness (INQ-15), lifetime non-suicidal self-injury, and the original version of the suicidality assessment tool (SBQ-R). Analyses explored the appropriateness and measurement properties of the adapted tool between the groups.
There was evidence in support of content validity, structural validity, internal consistency, convergent and divergent validity, test–retest validity, sensitivity and specificity (for distinguishing those with or without lifetime experience of suicide attempt), and hypothesis testing of the adapted tool (SBQ-ASC) in each group. The structure of the SBQ-ASC was equivalent between autistic and possibly autistic adults, regardless of gender, or use of visual aids to help quantify abstract rating scales.
The samples involved in the development and validation of the adapted tool were largely female, and largely diagnosed as autistic in adulthood, which limits the generalisability of results to the wider autistic population. The SBQ-ASC has been developed for use in research and is not recommended to assess risk of future suicide attempts and/or self-harm. The SBQ-ASC has been designed with and for autistic and possibly autistic adults, and is not appropriate to compare to non-autistic adults given measurement differences between these groups.
The SBQ-ASC is a brief self-report suicidality assessment tool, developed and validated with and for autistic adults, without co-occurring intellectual disability. The SBQ-ASC is appropriate for use in research to identify suicidal thoughts and behaviours in autistic and possibly autistic people, and model associations with risk and protective factors.
People diagnosed with autism (henceforth autistic peopleFootnote 1) are at significantly increased risk of experiencing suicidal thoughts and behaviours [3,4,5] and death by suicide [6,7,8], compared to non-autistic people. Autistic people who have experienced delay in autism diagnosis until adulthood show the highest estimates of lifetime suicidal thoughts (66%), and suicide attempt(s) (35–36%) [9, 10]. Many adults remain undiagnosed, given lack of adult autism diagnostic services and appropriate assessment tools to identify autism in women . Possible undiagnosed autism is also associated with increased risk of suicidality. For example, 45% of women with high autistic traits in the region of clinical concern for possible autism reported making a suicide plan, and 16% had attempted suicide . 40.6% of those with a lifetime history of suicide attempt(s), without autism diagnosis or suspected autism, scored above the clinical cut-off for possible autism on a validated measure of autistic traits . 11% of depressed patients  and 15% of women with Borderline Personality Disorder (BPD)  met diagnostic criteria for co-occurring autism, and suicide attempts were highest in those with co-occurring autism diagnoses across both groups.
Given that autistic and possibly autistic people are at high risk of suicidality, it is crucial that appropriate and valid assessment tools are available to accurately identify suicidal thoughts and behaviours in these groups. However, systematic reviews have shown that no suicidality assessment tool has yet been validated for autistic people in research or clinical practice [16, 17]. Assessment tools are validated for certain purposes or circumstances, rather than being valid or invalid [16, 18]. Our aim was to develop a brief tool for use in research studies, rather than a brief risk assessment tool to predict future self-harm or suicide attempts in clinical practice. This decision was made because brief risk assessment tools are generally poor predictors of future self-harm or suicide attempts in clinical practice [19,20,21] and are therefore a “do not do” recommendation in current clinical guidelines in the UK . Autistic people and those who support them also prioritised understanding risk and protective factors for suicidal thoughts and behaviours, how models of suicide apply to autistic people, and whether the experience of suicidality is different in autistic people [23, 24]. Addressing these community research priorities will require brief validated research tools. Additionally, answering these questions will provide crucial information for clinical practice, such as potentially unique risk factors for suicide in autistic people which need to be included in new effective risk assessment and treatment strategies [23, 24].
A recent systematic literature review  identified a suicidality assessment tool developed for non-autistic people—the Suicidal Behaviours Questionnaire—Revised —as a promising candidate tool to adapt for autistic people for use in research studies. This was because: a) the SBQ-R was identified as the most frequently used tool in previous research, with a large body of evidence showing consistent moderate to strong evidence in support of a range of measurement properties when used in general population research, comparable to longer and more expensive tools; b) having a short research tool like the SBQ-R would reduce participant burden in research studies aiming to identify suicidal thoughts and behaviours; c) the SBQ-R was free to use and to adapt, crucial for facilitating future suicide in autism research; and d) some items of the SBQ-R in their current form had useful and specific definitions (e.g. “rarely (1 time)”, which previous research suggests could be particularly useful for autistic people . The SBQ-R assesses lifetime experience of suicidal thoughts, plans and attempts (item 1), frequency of suicidal thoughts in the past year (item 2), communication of suicide intent to others (item 3), and likelihood of attempting suicide someday in the future (item 4).
One study has explored how autistic adults interpret and respond to the SBQ-R compared to non-autistic adults . An online survey gathered responses to the SBQ-R in 188 autistic and 183 non-autistic adults matched on age and gender to compare the structure of the tool between the groups, and a subsample of 15 autistic adults were interviewed while completing the SBQ-R to explore how they interpreted and responded to the items. Results showed that the structure of the SBQ-R was significantly different in autistic compared to non-autistic adults, and autistic adults interpreted the items differently than intended by the scale developers. Specifically, autistic adults reported having difficulty communicating their suicide intent to others despite experiencing suicidality. Consistent with this, responses to item 3 (communication of suicidal intent) were less strongly associated with other items for autistic compared to non-autistic adults. This suggests that communication of suicidal intent to others is less strongly indicative of suicidality in autistic compared to non-autistic adults. Autistic adults said that it was important to ask about the likelihood of future suicide attempt(s) (item 4), but it was impossible to answer such an abstract future question. Likelihood of future suicide attempt(s) was more strongly associated with performance on other items in the autistic compared to the non-autistic group, which may indicate that autistic people are drawing more strongly on previous behaviour to inform their response. Autistic adults reported that item 2 did not capture the full range or intensity of suicidal thoughts over the past year, and difficulties with complex and imprecise response options across items, (e.g. did not want to/really hoped to die; never/no chance at all). Results also suggested a worrying clinical picture, that autistic adults reported impulsively attempting suicide without a plan when the means to attempt suicide where present .
Taken together these findings suggest that the SBQ-R would benefit from adaptation to improve the clarity and relevance of the items to autistic adults. The current study thus aimed to adapt the SBQ-R, incorporating feedback from autistic adults from the earlier study , and refining the adapted tool with additional interviews and an online survey. Subsequently, we assessed the appropriateness and measurement properties of the adapted Suicide Behaviours Questionnaire—Autism Spectrum Conditions (SBQ-ASC) in autistic adults in a new sample. A key issue in suicidality in autism research, is the lack of measurement tools available to assess and compare suicidality and associated risk markers between different groups. Given the high risk of suicidal behaviours in possibly autistic (but undiagnosed) adults, it is also important that the SBQ-ASC operates as intended in autistic people regardless of diagnosis. The current study therefore also assessed whether the structure of the adapted SBQ-ASC is measurement invariant (i.e. equivalent), and thus comparable between autistic, possibly autistic and non-autistic adults, and explored the measurement properties of the adapted tool in each group.
We hypothesised that autistic and possibly autistic adults would self-report significantly higher levels of suicidal thoughts and behaviours on the SBQ-ASC compared to non-autistic adults, on each item and total scores. Given the lack of previous suicidality research including possibly autistic people, we explored whether and how rates of suicidality differed between autistic and possibly autistic adults. We also hypothesised that total scores on the SBQ-ASC would be significantly correlated with risk markers for suicidality in autistic and non-autistic people identified from previous research (autistic traits, camouflaging autistic traits, depression, anxiety, non-suicidal self-injury (NSSI), thwarted belongingness and perceived burdensomeness) [27,28,29,30,31,32,33,34,35]. We also hypothesised that the SBQ-ASC would be more strongly correlated with the original version of the tool (given they both measure the same construct—suicidality), compared to other proximal risk markers for suicidality (e.g. thwarted belonging, perceived burdensomeness and mental health), which would in turn be more strongly correlated with the SBQ-ASC compared to more distal risk markers (e.g. autistic traits and camouflaging autistic traits). Given that we expected the SBQ-ASC to more accurately capture experience of suicidality relevant to autistic people, we also predicted that the SBQ-ASC would be more strongly correlated with autism relevant constructs (e.g. autistic traits, camouflaging autistic traits and measures developed for autistic people), compared to the original version of the tool. Lastly, given previous findings that autistic people might be more likely to impulsively attempt suicide without a plan, and have difficulties communicating their suicidal intent to others, we predicted that autistic and possibly autistic adults would be significantly more likely to endorse these sub-questions of the SBQ-ASC compared to non-autistic people.
The research received a favourable ethical opinion from the relevant local Research Ethics Committee (ethics approval references P47603 and F1074).
The autistic group comprised 308 adults (27% male gender) who self-reported a diagnosis of ASC from a trained clinician. The possibly autistic group comprised 113 adults (29% male gender) who self-reported that they suspected they were autistic but had not yet been diagnosed. The non-autistic group comprised 268 adults (31% male gender) who reported that they were not diagnosed autistic or suspected they might be autistic. The autistic and possibly autistic groups were significantly more likely to identify with a different gender than assigned at birth (16.3%) compared to the non-autistic group (3%) (X2(1) = 28.79, p < 0.001; OR 6.24 CI 2.95–13.21). There was no significant difference in age between the three groups (F(688) = 1.34, p = 0.263). Self-reported autistic traits (AQ Scores) were significantly different between the three groups (F(682) = 601.59, p < 0.001). Bonferroni corrected t tests showed that the autistic group self-reported significantly higher autistic traits (mean = 22.86, SD = 3.76) compared to the possibly autistic (mean = 20.17, SD = 4.57) and non-autistic group (mean = 9.45, SD = 5.67), and the possibly autistic group self-reported significantly higher autistic traits than the non-autistic group (all p < 0.001) (Table 1).
The autistic and possibly autistic groups were recruited through the Cambridge Autism Research Database, the Autistica network, and social media. The non-autistic group was recruited through the Cambridge Psychology Research Database and social media channels.
Suicide behaviours questionnaire—autism spectrum conditions
Figure 1 shows the stages involved in the overall development and validation of the SBQ-ASC with and for autistic adults. The SBQ-ASC was adapted from the SBQ-R with permission of the tool developers . A previous study had explored how autistic compared to non-autistic adults interpret and respond to the SBQ-R , to inform how to adapt this tool for autistic adults. The adapted SBQ-ASC was subsequently refined through: a) Cognitive interviews with 9 autistic adults (who took part in the earlier study, ); and b) A survey completed by 251 autistic and possibly autistic adults who provided qualitative feedback, and rated the clarity and importance of each item of the original SBQ-R and adapted SBQ-ASC (234 diagnosed, 17 awaiting assessment; 30.7% male; mean age = 41.91, SD = 13.44; mean age of ASC diagnosis = 36.09, SD = 14.03; 61.4% Asperger Syndrome diagnosis). Table 2 summarises the key issues identified with the SBQ-R by autistic adults across the interviews and online survey, and the subsequent adaptations incorporated into the SBQ-ASC to address these.
The penultimate version of the SBQ-ASC items tested in the online survey was rated as “clear” by at least 79% of the 251 autistic/possibly autistic participants, and mean importance ratings ranged from 74.17 to 84.93 (out of 100) for each item (mean = 78.89, SD = 3.99). After minor corrections to grammar and wording to improve clarity, the final version of the SBQ-ASC used in the current study was given an overall mean clarity rating of 82.72 (out of 100, SD = 22.9) by the combined autistic/possibly autistic group, and 88.05 (SD = 21.13) by the non-autistic group. Analysis of the qualitative feedback across the two surveys showed that the issues identified with the penultimate version of the SBQ-ASC assessed in the earlier survey had been successfully addressed in the final version of the tool used in the current study.
The SBQ-ASC has five scored items (Table 2). Item 1 assesses lifetime experience of suicidal thoughts and behaviours from “Never” (0) to “I have attempted to end my life” (4). Item 2 assesses frequency of intense suicidal thoughts in the last 12 months from “Never” (0) to “1 or more times a day” (6). Item 3 assesses perseverative intense suicidal thoughts from “Not Applicable” (0), “Less than 5 min” (1) to “More than 8 h” (5). Item 4 assesses likelihood of suicide attempt from “Not Applicable” (0), “No chance at all” (1) to “Very likely” (5). It is recommended that a visual aid, such as a measuring jug or thermometer, is offered to participants to help quantify each response option for item 4 if they think this could be useful to them. Item 5 assesses communication of future suicide intent and past suicide attempts to others. Responses are scored from “Not applicable” (0)/“No” (0), to “Yes, once”/“Yes more than once”. Endorsing either “Yes” item is scored 1 for suicidal thoughts, 2 for future suicide attempts, and 3 for past suicide attempts. Participants can endorse all the options giving a maximum score of 6 for item 5.
Optional follow-up items which are not scored are also included in the SBQ-ASC. For those who endorse lifetime suicide attempt, these items address presence of plans, impulsivity and access to means. For those who have communicated suicidality to others, follow-up items gather information on who was told (e.g. friend, family member or professional). For those who have never told anyone about their suicidality, follow-up items gather information on why (e.g. I had no one to tell, I was afraid to). Item 6 also captures lifetime experience of non-suicidal self-injury, “Have you ever purposefully injured yourself, without intending to end your life? Yes/No. Therefore, alongside item 1, the SBQ-ASC can be used to classify lifetime experience of self-harm, with or without intent to end life.
Suicide behaviours questionnaire—revised (SBQ-R)
The SBQ-R  is a four-item self-report questionnaire measuring suicidality. Item 1 assesses lifetime suicidal behaviour (on a scale from “Never” to “I have attempted to kill myself, and really hoped to die”). Item 2 assesses suicide ideation over the past 12 months (on a scale from “Never” to “Very Often (5 or more times)”). Item 3 assesses communication of suicidal intent to others (on a scale from “No” to “Yes, more than once, and really wanted to do it”). Item 4 assesses likelihood of a suicide attempt someday in the future (on a scale from “Never” to “Very likely”). The SBQ-R has been validated for use in general population samples to reliably distinguish people who have, from people who have not attempted suicide [25, 36]. The SBQ-R is widely used in research with moderate-strong evidence in support of internal consistency, structural validity, and criterion validity in research with general population samples . The SBQ-R has also been utilised in research with autistic adults [e.g. 3,34], with evidence that the structure and interpretation of the SBQ-R is different in autistic compared to non-autistic adults . Cronbach’s alpha for whole scale: Autistic group α = 0.739, possibly autistic group α = 0.755, non-autistic group α = 0.734.
Autism spectrum quotient—short (AQ-S)
The AQ-short  is a 28-item subset of the full 50 item Autism Spectrum Quotient . The AQ-28 measures the number of self-reported autistic traits, with high scores indicating more autistic traits. Items such as ‘it does not upset me if my daily routine is disturbed’ and ‘I find it easy to work out what someone is thinking or feeling’ are rated on a 4-item response scale from 1 “definitely agree” to 4 “definitely disagree” . In the current study, responses endorsing autistic traits were given a score of 1, giving a total range from 0–28. A systematic review showed satisfactory evidence in support of the AQ-S factor structure, internal consistency, test–retest reliability and convergent validity as rated by a validated research tool (COSMIN) . Using the dichotomous scoring method, scores at or above a clinical cut-off of 16 have showed acceptable sensitivity and specificity in distinguishing autistic from non-autistic adults . Cronbach’s alpha for whole scale: Autistic group α = 0.765, possibly autistic group α = 0.791, non-autistic group α = 0.854.
Camouflaging autistic traits questionnaire (CAT-Q)
The Camouflaging Autistic Traits Questionnaire (CAT-Q) is a 25-item self-report questionnaire assessing the extent to which a person engages in social camouflaging behaviours, validated in autistic and non-autistic adults with equivalent factor structure between the groups . The CAT-Q captures three domains of social camouflaging: (1) “compensation” (behaviours used to compensate for autism-related difficulties in social situations); (2) “masking” (behaviours used to hide autistic characteristics or present a non-autistic personality to others); and (3) “assimilation” (behaviours used to fit in better with others and not “stand out” from the crowd). Participants rate each of the 25 questions on a seven-point Likert scale between “Strongly Agree” to “Strongly Disagree”. Responses are scored between 1 and 7, with higher scores for items which endorse presence of social camouflaging behaviour. Cronbach’s alpha for whole scale: Autistic group α = 0.919, possibly autistic group α = 0.9, non-autistic group α = 0.931.
Anxiety scale for autism (Adults) (ASA-A)
The ASA-A  is a 20-item self-report measure of anxiety designed with and for autistic adults, adapted from the Anxiety Scale for Autism Spectrum Disorder (ASC-ASD). The ASA-A measures four components of anxiety: Social Phobia (e.g. ‘I worry what other people think of me’), Anxious Arousal (e.g. ‘All of a sudden I feel really scared’), and Uncertainty (e.g. ‘I am anxious about unfamiliar things, people or places’). Each item is rated on a scale from “Never” (0)—“Always” (3), with total scores ranging from 0–60. Scores at or above 28 indicate clinically significant levels of . The ASA-A has strong evidence in support of its measurement properties (factor structure, internal consistency, test–retest reliability, convergent and divergent validity) in autistic adults . Cronbach’s alpha for whole scale: Autistic group α = 0.921, possibly autistic group α = 0.926, non-autistic group α = 0.943.
Patient health questionnaire—9 Item (PHQ-9)
The Patient Health Questionnaire-9 item (PHQ-9)  is a 9-item self-report scale used to assess severity of current depressive symptoms in line with DSM-V diagnostic criteria . Scores range from 0 to 27 with scores at or over 10 indicating moderate, 15 moderately severe, and 20 severe depression. A recent systematic review showed that the PHQ-9 was extensively used in general population research, with strong evidence for its psychometric properties as rated by a validated research tool (COSMIN) , and more recently, evidence in support of total scores being comparable between autistic and non-autistic adults . Cronbach’s alpha for whole scale: Autistic group α = 0.907, possibly autistic group α = 0.904, non-autistic group α = 0.909.
Interpersonal needs questions—15 item (INQ-15)
The Interpersonal Needs Questionnaire (INQ-15) is a 15-item self-report questionnaire assessing ‘thwarted belongingness’ (e.g. ‘These days, I often feel like an outsider in social gatherings’) and ‘perceived burdensomeness’ (e.g. ‘These days, I think I am a burden on society’) . The INQ-15 has been validated in young non-autistic adults  and has been used in previous research with autistic adults and those with high autistic traits [27, 33, 34, 48]. Cronbach’s alpha for whole scale: Autistic group α = 0.927, possibly autistic group α = 0.933, non-autistic group α = 0.936.
Participants were asked to report on their age, sex, gender, employment, education, living situation, diagnoses (developmental, mental health and other), ASC diagnosis (clinically confirmed, suspected but not yet unconfirmed, and not autistic or suspected to be autistic), and for those with clinically confirmed diagnosis, the age of ASC diagnosis and the type of professional they were diagnosed by (e.g. paediatrician, psychologist, psychiatrist).
Participants were invited to complete an online survey using Qualtrics aiming to adapt mental health assessment tools for autistic adults. Participants were informed that anyone 18-years or over could participate, regardless of autism diagnosis, experience of mental health problems or suicidal thoughts or behaviours. Participants were fully briefed about the nature of the research, that they could skip questions and sections of the survey that made them feel uncomfortable, stop the survey at any time and complete it later. Participants were also provided information about relevant support services before taking part in the study, after each section of the study, and after taking part in the study in a downloadable debrief sheet. After providing consent, participants completed the demographics questions, AQ-S, CAT-Q, INQ-15, ASA-A, PHQ-9, SBQ-R and SBQ-ASC. The order of the SBQ-R and SBQ-ASC were randomised between participants. Participants were then asked for consent to complete the SBQ-R and SBQ-ASC again in two weeks. Subsequently participants were provided with a full debrief including information about further information and support, followed by a positive mood induction procedure (a doodle page with jokes, puzzles and cute animal videos) which has proved effective in previous research exploring similar topics .
The autistic and non-autistic samples were split in two, stratified by gender and age. The first half was utilised in the exploratory factor analysis (‘exploratory sample’ n = 285, consisting of n = 153 autistic and n = 132 non-autistic adults), and the second half utilised in the confirmatory factor analysis (‘confirmatory sample’ n = 291, consisting of n = 155 autistic and n = 136 non-autistic adults). The two samples did not significantly differ in age (partial η2 = 0.001), autistic traits (partial η2 = 0.001), birth sex (OR = 0.84) or gender (Cramer’s V = 0.008). The confirmatory factor analysis model in the autistic group was subsequently tested in the whole possibly autistic group (n = 113). Analyses were conducted in SPSS version 26 and measurement invariance analysis conducted in SPSS AMOS version 24. 1319 participants initially accessed the survey. Of these, 748 participants who met eligibility criteria opted to see the SBQ-ASC questions, 689 (92.11%) of these participants completed all SBQ-ASC items with no missing data, and 686 also completed at least one additional measure with no missing items. Only measures with complete data for all items were included in the analysis. Prior to analysis, data for each measure were also screened for valid responses. This included checking that responses across questions were consistent (e.g. free text responses which addressed the question, that presence of lifetime suicidal thoughts were consistent across the SBQ-R and SBQ-ASC, and those who reported no lifetime suicidality also did not report suicidal thoughts in the past year etc.).
Exploratory factor analysis of the SBQ-ASC
Principle components analyses were performed on the exploratory half of the autistic (n = 153), and non-autistic (n = 132) subsamples, and both the autistic and non-autistic groups combined (n = 285). The sample size was sufficient for EFA, with over 7 participants per item, and over 100 participants total . Items with loadings below 0.4, or with cross-loadings of greater than 0.4 were excluded .
Confirmatory factor analysis
The Chi-square statistic was used an indicator of fit , alongside other fit indices given that chi-square is affected by sample size . The χ2/df ratio should be close to zero , root mean square of approximation (RMSEA) close to 0.06 , the comparative fit index higher than 0.9 , and Tucker-Lewis Index (TLI) values over 0.9 . CFA was conducted on the confirmatory half of the autistic (n = 155), and non-autistic (n = 136) subsamples. The model identified in the autistic group was then tested in the whole possibly autistic group (n = 113). Groups that showed acceptable fit to the same model were combined, and the model re-run to test fit in the combined sample(s). Sample size was sufficient for CFA (> 7 participants per item, and > 100 participants total) .
The exploratory and confirmatory samples were re-combined, and multi-group confirmatory factor analysis used to determine whether the SBQ-ASC had a similar structure between the groups: autistic (n = 308), possibly autistic (n = 113) and non-autistic (n = 268). Data was combined across groups which showed evidence for measurement invariance. Further analysis subsequently explored whether the structure was equivalent in males and females, and those who did and did not request visual aids for item 5 of the SBQ-ASC.
Measurement invariance analysis tests a series of nested models, with increasingly strict constraints, to assess evidence for increasingly strict levels of measurement invariance (i.e. equivalence) between groups [57, 58]: 1) configural invariance tests whether sets of items measure the same latent variable in both groups; 2) metric invariance tests whether the strength of the relationship between items are the same for both groups; 3) scalar invariance tests whether the total scores result from similar responses to individual items across groups; 4) residual invariance tests whether scale items measure the latent constructs with the same amount of measurement error across groups. In order to compare total scores from a measure between different groups, evidence for scalar invariance must be shown across the groups, as this suggests that total scores on the measure consists of similar performance on individual items . Increase in RMSEA (> 0.015) and reduction in CFI (> 0.01) at each level were used as indicators of a significant degradation in fit, given that the chi-square statistic is strongly influenced by sample size .
Reliability and validity
In each group, internal consistency was measured using Chronbach’s alpha for total scores. Spearman’s correlations, intraclass coefficient, and ANOVA assessed test–retest reliability of SBQ-ASC total scores between time one and time two in each group. Spearman’s correlations also assessed convergent validity between the SBQ-ASC with the original version of the tool (SBQ-R), and other measures of autistic traits (AQ), anxiety (ASA-A), depression (PHQ-9), lifetime NSSI (item 6 of the SBQ-ASC), thwarted belongingness and perceived burdensomeness (INQ-15). Divergent validity was assessed using z-tests to compare the strength of the correlation coefficients. Specifically: a) whether the SBQ-ASC was more strongly correlated with autism relevant constructs (AQ, CAT-Q and ASA-A) compared to the original version of the tool (SBQ-R); b) whether the correlation between the SBQ-ASC with the original version of the tool (SBQ-R) was larger compared to other proximal risk markers for suicide (thwarted belongingness, perceived burdensomeness, depression and anxiety); and c) whether the SBQ-ASC was more strongly correlated with more proximal mental health risk markers for suicide (depression and anxiety) compared to more distal risk markers (autistic traits and camouflaging autistic traits).
Receiver Operating Curve (ROC) analysis was used to establish an indicative cut-off score for the SBQ-ASC discriminating those who have from those who have not attempted suicide in their lifetime (using item 1 of the SBQ-R as the criterion). Kruskal Wallis analyses compared the SBQ-ASC items between groups, and total scores between groups (with evidence of measurement invariance at the scalar or residual level). Significant main effects were followed up with Mann Whitney U to test focused comparisons with partial eta squared calculated as a measure of effect size. Chi-square analyses compared frequency of sub-questions probing characteristics of suicidality, NSSI and above cut-off scores between the groups, with phi calculated as an estimate of effect size for multiple group comparisons, and odds ratios calculated as a measure of effect size for focused comparisons, with an alpha level of p < 0.01 to correct for multiple comparisons.
Exploratory factor analysis
Table 3 shows the results of the EFA which indicates evidence for a one-factor solution (with all items loading above 0.4), explaining 57.86% of the variance in the autistic, 63.06% variance in the non-autistic group and 65.39% of the variance in both groups combined. All items of the SBQ-ASC were therefore retained.
Confirmatory factor analysis
Examination of modification indices in the autistic and possibly autistic groups indicated that co-varying the error terms for conceptually related items 1 and 5 improved the fit of the model (1), whereas for the non-autistic group, co-varying error terms for items 3 and 5, and 4 and 5 improved the fit of the model (2) (Fig. 2). After co-varying the respective error terms, each group showed good fit to the model (Table 4).
Measurement invariance analysis
Measurement invariance between the autistic and possibly autistic groups was tested, given the similar CFA model (1) identified in each of these groups separately and combined (Fig. 2 and Table 4). There was evidence for metric and scalar, but not residual invariance between the autistic and possibly autistic groups (Table 5). This suggests that the SBQ-ASC total scores can be compared between autistic and possibly autistic adults, and therefore data from these groups were combined in subsequent measurement invariance analyses. Measurement invariance analysis was not undertaken to compare the combined autistic/possibly autistic group to the non-autistic group, given the evidence for different baseline models in these groups (Fig. 2).
Measurement invariance analysis therefore compared gender (males and females), and use of visual aids for item 4 of the SBQ-ASC, in the combined autistic/possibly autistic group, and separately in the non-autistic group. Analyses showed evidence for measurement invariance at the metric and scalar level when comparing gender in the combined autistic/possibly autistic group, and the non-autistic group, and evidence for measurement invariance at the metric, scalar and residual levels for the use of visual aids in the combined autistic/possibly autistic group, and the non-autistic group (Table 6).
Reliability and validity
Reliability and validity of the 5-item SBQ-ASC scale were explored in the combined sample of autistic/possibly autistic adults (n = 421), and non-autistic adults (n = 268), who had completed the SBQ-ASC and at least one other measure.
Acceptable internal consistency was found for the total scale in the combined autistic/possibly autistic group (0.792) and the non-autistic group (0.848).
All participants were invited to complete the SBQ-ASC two weeks after completing the first survey. Test–retest reliability was calculated in a sub-sample of autistic/possibly autistic participants (n = 172), and non-autistic participants (n = 72), who completed the SBQ-ASC 2-weeks after completing the initial survey. This sub-sample consisted of all participants who consented to complete the follow-up, and who completed all items of the SBQ-ASC at time one and time two. In the autistic/possibly autistic, and non-autistic groups, there were no significant differences in age, sex ratio, rate of any development or mental health condition, or questionnaire scores (AQ, CAT-Q, INQ-10, ASA-A, PHQ-9, SBQ-R) between participants who completed the SBQ-ASC at time one, compared to those who completed the SBQ-ASC at time one and time two (see Additional file 1 for results of all group comparisons).
Time one and time two SBQ-ASC scores were strongly correlated in the combined autistic/possibly autistic group (rs = 0.927) and the non-autistic group (rs = 0.902), with high intra-class correlations (autistic/possible autistic ICC = 0.928, 95% CI 0.9–0.946; non-autistic ICC = 0.921, 95% CI 0.877–0.95). There was no significant difference between SBQ-ASC total scores between time one and time two across both groups (F(242) = 1.34, p = 0.249), and no significant interaction between time points and group (F(242) = 2.3, p = 0.13).
Spearman’s correlations were undertaken in the combined autistic/possibly autistic group, and the non-autistic group separately. SBQ-ASC total scores were significantly correlated with all measures in both groups and was highly correlated with the original version of the tool (SBQ-R) (Table 7).
In the autistic/possibly autistic group, the ASA-A was significantly more strongly correlated with the SBQ-ASC (rs = 0.46), than the SBQ-R (rs = 0.393) (z = 3.04, p < 0.001). There was no significant difference in the size of the correlation coefficient between the AQ/CAT-Q with the SBQ-ASC compared to the SBQ-R (AQ rs = 0.164 vs. rs = 0.141, z = 0.95, p = 0.171; CAT-Q rs = 0.232 vs. rs = 0.197, z = 1.465, p = 0.071 respectively).
The SBQ-ASC was significantly more strongly correlated with the SBQ-R (rs = 0.877) than with thwarted belongingness (rs = 0.384) (z = 13.77, p < 0.001), perceived burdensomeness (rs = 0.631) (z = 10.76, p < 0.001), PHQ-9 (rs = 0.545) (z = 11.984, p < 0.001) and ASA-A (rs = 0.46) (z = 15.73, p < 0.001). The SBQ-ASC was significantly more strongly correlated with the PHQ-9 (rs = 0.545) than with the AQ (rs = 0.146) (z = 6.456, p < 0.001), and the CAT-Q (rs = 0.232) (z = 6.257, p < 0.001). The SBQ-ASC was significantly more strongly correlated with ASA-A (rs = 0.46) than with the AQ (rs = 0.164) (z = 3.123, p < 0.001), but not the CAT-Q (rs = 0.232) (z = 0.136, p = 0.446).
Sensitivity and specificity
ROC analysis showed that the SBQ-ASC had excellent sensitivity and specificity, with indicative cut-offs correctly classifying 88% of autistic adults who reported lifetime experience of suicide attempt(s) according to item 1 of the SBQ-R (Table 8).
Table 9 includes response option endorsement, item means and mean total scores on the SBQ-ASC and results of all group comparisons between the autistic, possibly autistic and non-autistic groups. Autistic adults scored significantly higher than possibly autistic and non-autistic adults, and possibly autistic adults significantly higher than non-autistic adults, on items 1, 3, 4 and 5 of the SBQ-ASC (all p < 0.01). On item 2 of the SBQ-ASC, autistic and possibly autistic adults scored significantly higher than non-autistic adults (all p < 0.01). Autistic adults total scores on the SBQ-ASC were significantly higher than possibly autistic adults (η2 = 0.05). Autistic adults were also significantly more likely to score at or above the SBQ-ASC cut-off than possibly autistic adults (OR = 2.59) (p < 0.001).
Analysis of the optional sub-questions on the SBQ-ASC were compared between autistic, possibly autistic, and non-autistic adults. In the subsample who reported lifetime experience of suicide attempt(s) (n = 162), there were no significant between groups differences in the characteristics of past suicide attempt(s) (planning, impulsivity, or access to means) (all p > 0.22). In the sub-group who reported past communication of suicidal thoughts or behaviours to others (n = 344), there were no significant between group differences in who was disclosed to (acquaintance, friend, family member, professional or other) (all p > 0.21). In the sub-group who reported not having disclosed suicidal thoughts or behaviours to others (n = 259), compared to non-autistic adults, autistic and possibly autistic adults were significantly more likely to endorse “I was worried about the consequences for myself” (autistic vs. non-autistic OR = 2.96; possibly autistic vs. non-autistic OR = 3.79) and “I wasn’t sure how to express my thoughts” (autistic vs. non-autistic OR = 3.45; possibly autistic vs. non-autistic OR = 3.74), as reasons for non-disclosure (all p < 0.01). In the subgroup who reported lifetime history of NSSI (n = 602), autistic adults were significantly more likely to endorse lifetime experience of NSSI compared to possibly autistic (OR = 1.95) and non-autistic adults (OR = 4.69), and possibly autistic adults compared to non-autistic adults (OR = 2.41) (all p < 0.01).
To our knowledge, no suicidality assessment tool has previously been developed and validated with and for autistic adults for use in research, despite this group being at high risk of experiencing suicidal thoughts and behaviours . A previous study showed that a widely used suicidality assessment tool developed and validated for the general non-autistic population for use in research studies (the SBQ-R), was not interpreted and responded to in the same way by autistic adults, and did not include items relevant to autistic adults’ experience of suicidality (e.g. perseverative suicidal thoughts, impulsive suicide attempts without a plan, why suicidality had not been disclosed to others) . We therefore adapted the SBQ-R with and for autistic adults, and subsequently tested the measurement properties of the adapted SBQ-ASC, in autistic, possibly autistic and non-autistic adults. Our results show support for a range of measurement properties of the SBQ-ASC for use in research studies with autistic/possibly autistic adults. The SBQ-ASC can be freely downloaded from: https://sites.google.com/view/mentalhealthinautism/resources/tools.
Results show support for content validity of the SBQ-ASC in autistic/possibly autistic adults, with high ratings in support of the clarity of the adapted items (> 0.8). Cognitive interviews confirmed that autistic adults interpreted and responded to the adapted items as intended. Results subsequently showed support for the structural validity and internal consistency of the SBQ-ASC in autistic, possibly autistic and non-autistic adults. Exploratory and confirmatory factor analyses (in independent samples) showed excellent fit to a single factor structure for the SBQ-ASC in autistic, possibly autistic, and non-autistic adults, with acceptable internal consistency (> 0.79) in each group. There was evidence of a different baseline model in the combined autistic/possibly autistic group compared to the non-autistic group, indicating that the structure of the SBQ-ASC is different in these groups. There was evidence in support of measurement invariance (i.e. equivalence) of the SBQ-ASC in autistic compared to possibly autistic adults, males compared to females, and use of visual aids to help quantify response options for item 4 (e.g. no chance at all, and rather likely), in autistic/possibly autistic and non-autistic adults. This indicates that SBQ-ASC total scores can be compared and/or combined between autistic people with or without a confirmed diagnosis, across genders, and use of visual aids for item 4. However, total scores on the SBQ-ASC cannot be compared between autistic and non-autistic adults, given evidence for a different baseline model between these groups. The SBQ-ASC also showed excellent stability of scores, with strong correlations (> 0.9) between SBQ-ASC total scores pre/post a 2-week gap in autistic/possible autistic, and non-autistic adults.
There was evidence in support of convergent validity, with the SBQ-ASC significantly correlating with known risk markers for suicidality (autistic traits, camouflaging, thwarted belongingness and perceived burdensomeness, current anxiety and depressive symptoms, and lifetime NSSI), in both autistic/possibly autistic adults, and non-autistic adults. There was also evidence in support of divergent validity. Specifically, the ASA-A, an anxiety measure designed to more accurately identify anxiety in autistic adults , was significantly more strongly correlated with the SBQ-ASC (a measure also designed with and for autistic adults), compared to the SBQ-R (a measure designed for non-autistic adults). Autistic traits (AQ) and camouflaging autistic traits (CAT-Q), were also both more strongly correlated with the SBQ-ASC than with the SBQ-R, but these differences were not statistically significant. This suggests that the SBQ-ASC is more sensitive to detecting associations with autism relevant constructs compared to the original version of the tool, and is therefore more appropriate for use in suicidality research in autistic/possibly autistic samples than the original version.
There was further evidence of divergent validity, indicating that the SBQ-ASC is also sensitive to detecting differences in the strength of associations between proximal compared to more distally related constructs. The SBQ-ASC was significantly more strongly correlated with the original version measuring the same construct of suicidality (SBQ-R), compared to more proximal risk markers for suicidality (thwarted belongingness, perceived burdensomeness, depression and anxiety). The SBQ-ASC was also significantly more strongly correlated with more proximal risk markers for suicidality (depression/anxiety) than more distal risk markers (autistic traits). These results suggest that the SBQ-ASC could be particularly useful in modelling studies aiming to identify and distinguish proximal/distal risk markers for suicidal thoughts and behaviours in autistic/possibly autistic people—a crucial and underexplored area of research prioritised by the autism community [23, 24].
An indicative cut-off on the SBQ-ASC for distinguishing autistic/possibly autistic adults, with or without a lifetime history of suicide attempt(s), is 12.5. This cut-off showed excellent sensitivity and specificity, correctly classifying 88% of autistic/possibly autistic adults who self-reported lifetime experience of suicide attempt(s) using item 1 of the original SBQ-R as the criterion. This follows the recommendation of COSMIN (a validated research tool used to assess the methodological quality of studies exploring evidence for and against the measurement properties of health outcome assessment tools), to use the original version of an assessment tool as the ‘gold standard’ criterion on which to assess sensitivity and specificity . This cut-off is appropriate to use in research studies to categorise autistic/possibly autistic adults in a sample at a higher/lower risk of lifetime suicide attempt(s), to help establish prevalence, and compare subgroups within the wider sample. However, this cut-off is not appropriate to be used in the context of treatment decisions or classifying autistic/possibly autistic people as high or low risk of future suicide attempts in clinical practice. The reasons being that first, this cut-off has been calculated in the context of research and past (not future) suicide attempt(s), and second, there is strong evidence that short suicide risk assessment tools like the SBQ-ASC and SBQ-R do not help clinicians correctly identify who will likely attempt suicide in the future [19,20,21].
The SBQ-ASC showed evidence in support of hypothesis testing. As predicted, autistic/possibly autistic adults scored significantly higher on each item of the SBQ-ASC than non-autistic adults. Interestingly, total scores on the SBQ-ASC were significantly higher in autistic compared to possibly autistic adults. The SBQ-ASC also shows strong potential for increasing our understanding of how suicidal thoughts and behaviours present in autistic/possibly autistic adults. Across the interviews and online surveys, autistic adults reported presence of perseverative suicidal thoughts, and impulsive suicide attempts without necessarily having a plan when the means to self-harm were present . Autistic people also reported that they found it difficult to disclose their suicidal thoughts and behaviours to others, because of communication difficulties, social isolation, and lack of access to support. The SBQ-ASC includes optional items to explore and compare these experiences between groups. Contrary to our predictions, in the subgroup who reported lifetime experience of suicide attempts, there were no significant differences between autistic, possibly autistic and non-autistic adults in having a suicide plan, impulsivity or access to means. In the subgroup who had communicated suicidality to others, there were no significant differences between the groups in who was told (e.g. acquaintance, friend, family, professional). However, this may have been because of the lifetime focus of these questions, and possible measurement differences between items. Future research could ask these questions about specific instances of contemplating and/or attempting suicide, to compare the characteristics and patterns of suicidal thoughts and behaviours between autistic and non-autistic people.
Importantly, and in line with our hypotheses, in the subgroup who had never disclosed suicidality to others, autistic and possibly autistic adults were significantly more likely to report being worried about the consequences for themselves, and not being sure how to express their thoughts compared to non-autistic people. Previous research shows that autistic people experience high anxiety, and part of the reason is intolerance of uncertainty in the future . In our interviews with autistic people, many reported anxiety about the purposes of assessments for suicidal thoughts and behaviours, and what would happen next. Communication difficulties are required for a diagnosis of autism , and autistic people can also experience difficulties verbalising their own internal thoughts and feelings (termed Alexythymia) . Many autistic people in our interviews also described finding it difficult to communicate their suicidality to others, but nevertheless experiencing suicidality. Findings from the current study are consistent with these experiences, and show evidence of possibly different reasons for non-disclosure in autistic compared to non-autistic people. Importantly, the top reason for non-disclosure across all groups was worry about the impact of disclosing suicidality on others. Recent research has challenged assumptions of lack of empathy in autistic people [62, 63], and clinicians should not assume that this is not a similar obstacle to disclosure in autistic people.
There are clear implications for research and clinical practice. The SBQ-ASC is the first suicidality assessment tool developed and validated with and for autistic/possibly autistic adults for use in research. We would caution against using the SBQ-ASC alone to inform treatment decisions or to assess risk of future suicide attempts (see above) . However, the SBQ-ASC could be helpful to clinicians in starting to identify presence of lifetime suicidal thoughts and behaviours, and suicidal thoughts in the past year, in autistic/possibly autistic adults. The optional follow-up questions included in the SBQ-ASC could also help clinicians gain useful initial information about previous suicide attempts (planning, impulsivity and access to means), whether and who the person has ever told about their suicidality, and reasons for non-disclosure, to start important conversations about possible support and safety planning (e.g. ways of alerting key people to suicidal crises, facilitating access to relevant support and social networks, addressing concerns and answering questions about what would happen in the event of reporting suicidal thoughts and/or behaviours). Clinicians should be aware of the different experience of suicidality in autistic people, who appear more likely to experience perseverative suicidal thoughts than non-autistic people. Broadly, clinicians should be aware that autistic/possibly autistic people are potentially more likely to be concerned about what will happen to them if they disclose their suicidality to others, have significantly more difficulty in knowing how to communicate their suicidal thoughts and intent to another person, and be concerned about the potential impact of disclosure on others. These likely present barriers to help seeking, and clinicians should therefore take the initiative and ask autistic people and those with high autistic traits (but not diagnosed) if they are experiencing suicidality.
A key strength of this study and broader program of work developing the SBQ-ASC, is the involvement of autistic people in first identifying the need for the research [23, 24], identifying potential issues with the original version , and co-producing adaptations in the current study. Assessing the appropriateness and measurement properties of the SBQ-ASC followed recommended best practice according to a validated research tool used to assess the quality of evidence for and against the measurement properties of health outcome assessment tools (COSMIN) . COSMIN argues that content validity is the most important foundational property on which all other measurement properties rely on—if a tool is not relevant or clear to the target group, then it is unlikely to adequately capture the intended construct in that group. Despite this, few studies conduct extensive work to establish content validity of tools in groups, using rigorous methods such as participatory approaches [26, 64, 65] or cognitive interviewing . In contrast, we conducted extensive work to ensure that the adapted SBQ-ASC captured the unique experience of suicidality in autistic and possibly autistic adults, prior to finalising the tool and assessing its measurement properties in autistic, possibly autistic and non-autistic adults. We also followed other key recommendations, such as using separate samples to explore and confirm the factor structure of the tool between groups, with at least 7 participants per item and over 100 participants total, and used the original version of the tool as the ‘gold standard’ criterion to assess sensitivity and specificity . Results from the current study suggest that ensuring content validity increases the sensitivity of the new tool to detecting associations with relevant constructs (i.e. autistic traits).
In research, tools tend to be validated in one group, but used in many others, without necessarily testing whether the tool operates similarly between the groups being studied. Another key strength of the current study was testing whether the SBQ-ASC operates similarly between autistic/possibly autistic, and non-autistic adults. Results suggest important measurement differences between autistic/possibly autistic adults, compared to non-autistic adults. This is consistent with previous research showing that autistic adults do not interpret or respond as intended by the tool developers to the original version of the SBQ-R , or tools developed for non-autistic people more generally . Key adaptations to the SBQ-ASC, informed from our previous research  and current study, included simplifying and clarifying response options, including visual aids to help quantify abstract response options (e.g. rarely, very likely), and including new items to capture the full range of frequency and duration of suicidal thoughts (up to every day, and over 8 h duration) reported by autistic adults. These adaptations follow best practice guidelines for adapting scales with and for autistic people , with new items developed to better capture autistic adults’ unique experiences of suicidality, not included in any previous measures designed for other groups. Results from the measurement invariance analysis therefore that suggest autistic people experience suicidality differently to non-autistic people, and this experience is not accurately captured in previous measures designed for non-autistic people. Future research must further explore autistic people’s unique experiences of constructs such as suicidality and mental health, to inform a broader suite of tools which better capture these constructs in different contexts, including clinical practice.
The study sample and wider program of work developing the SBQ-ASC included a high proportion of females, who were largely diagnosed in adulthood or were awaiting assessment. Participation involved interviews and completing online surveys. Therefore, results are likely not generalisable to autistic adults diagnosed in childhood, or with co-occurring intellectual disability. However, there is evidence that autistic women are at significantly increased risk of death by suicide compared to non-autistic women [6,7,8], and are more likely to experience delay in diagnosis due to lack of appropriate autism assessment tools validated for females . Given the focus of the current study on developing an appropriate tool to effectively identify suicidal thoughts and behaviours in autistic/possibly autistic adults in research studies, it was crucial to include a large sample of women, which have been traditionally under-represented in autism research . There were also sufficient numbers of males and females in the current study to establish equivalence of the adapted SBQ-ASC across gender according to best practice guidelines for the analyses . Hence, the SBQ-ASC has been validated for both autistic and possibly autistic males and females. Adults without co-occurring intellectual disability, and/or diagnosed in adulthood, are at particularly high risk of suicidal thoughts and behaviours [3, 9] and death by suicide . This suggests that the SBQ-ASC is particularly appropriate for identification and modelling of risk markers for suicidality in this group at relatively high risk of suicidality. However, future research will need to explore whether the SBQ-ASC is also appropriate for autistic people diagnosed in childhood, and/or co-occurring intellectual disability. Autism diagnostic status was confirmed through self-report. The possibly autistic group also consisted of those who self-identified as autistic, without a diagnosis. Future research could also include possibly autistic people who are suspected to be autistic by others (e.g. by family and friends).
The SBQ-ASC has been developed and validated for use in research. The SBQ-ASC has not been validated and there is no evidence in support of predicting future adverse events including suicide attempts using scores from this tool. The SBQ-ASC assesses lifetime experience of suicidal thoughts and behaviours, frequency of suicidal thoughts in the past year, duration of suicidal thoughts, likelihood of future suicide attempt, and communication of suicidal thoughts and behaviours to others. The SBQ-ASC does not however capture current suicidal thoughts. Further work will therefore be necessary to develop a range of suicidality assessment tools appropriate for different subgroups and contexts, including autistic children and youth, with or without intellectual disability, in research and clinical practice.
We present a new tool developed and validated with and for autistic and possibly autistic adults, to more accurately capture suicidality in these groups in research studies—the SBQ-ASC. The SBQ-ASC was adapted from a well validated and widely used suicidality assessment tool originally developed for the general population for use in research studies (the SBQ-R) [25, 26]. The SBQ-ASC has evidence in support of a range of measurement properties, including content validity, structural validity, internal consistency, test–retest validity, convergent and divergent validity, criterion validity, and hypothesis testing. There is also evidence in support of the structural equivalence of the SBQ-ASC in autistic compared to possibly autistic adults, regardless of gender, and use of visual aids to assist with quantification of abstract response options for item 4 (e.g. likely vs. very likely). The SBQ-ASC is therefore recommended to identify suicidal thoughts, behaviours and characteristics in autistic adults (diagnosed or undiagnosed), without co-occurring intellectual disability, in research to help model risk factors for suicidality and associated characteristics. The SBQ-ASC could also be useful in clinical practice to help identify lifetime suicidal thoughts and behaviours, and past year suicidal thoughts, characteristics (plans, impulsivity, access to means, reasons for non-disclosure), and to start conversations about needed support (e.g. with removing access to means, and with help seeking in a crisis). However, results also suggest that the SBQ-ASC is not appropriate for comparing total scores between autistic/possibly autistic adults, with non-autistic adults given measurement differences between these groups. These findings suggest that autistic people experience suicidality differently to non-autistic people, and future research must further develop tools with and for autistic/possibly autistic adults, to better understand and capture unique experiences of suicidality and associated risk markers.
Availability of data and materials
The dataset used and analysed in the current study is available from the corresponding author on reasonable request.
We use identity first language (autistic community/people/person) to describe and talk about autism in the current paper, given that this is the most preferred language of the autistic community [1, 2]. We recognise and respect the wide range of terms and different individual preferences for describing autism, and that the language used to describe and talk about autism will continue to evolve over time.
Attention deficit and hyperactivity disorder
Autism spectrum quotient
Anxiety scale for autism – adult
Autism spectrum condition
Camouflaging autistic traits questionnaire
Confirmatory factor analysis
Consensus‐based standards for the selection of health measurement instruments
Exploratory factor analysis
Interpersonal needs questionnaire – 15 item
Obsessive compulsive disorder
Post traumatic stress disorder
Pervasive developmental disorder—not otherwise specified
Patient health questionnaire – 9 item
Receiver operating curve
Suicidal behaviours questionnaire – autism spectrum conditions
Suicide behaviours questionnaire – revised
Kenny L, Hattersley C, Molins B, Buckley C, Povey C, Pellicano E. Which terms should be used to describe autism? Perspectives from the UK autism community. Autism. 2016;20(4):442–62.
Bury SM, Jellett R, Spoor JR, Hedley D. “It defines who i am” or “it’s something i have”: what language do [autistic] australian adults [on the autism spectrum] prefer? J Autism Dev Disord. 2020;28:1–1.
Cassidy S, Bradley L, Shaw R, Baron-Cohen S. Risk markers for suicidality in autistic adults. Mol Autism. 2018;9(1):42.
Chen MH, Pan TL, Lan WH, Hsu JW, Huang KL, Su TP, Li CT, Lin WC, Wei HT, Chen TJ, Bai YM. Risk of suicide attempts among adolescents and young adults with autism spectrum disorder: a nationwide longitudinal follow-up study. J Clin Psychiat. 2017;78(9):e1174–9.
Hand BN, Benevides TW, Carretta HJ. Suicidal ideation and self-inflicted injury in Medicare enrolled autistic adults with and without co-occurring intellectual disability. J Autism Dev Disord. 2019;50:3489–95.
Hirvikoski T, Boman M, Chen Q, D’Onofrio BM, Mittendorfer-Rutz E, Lichtenstein P, Bölte S, Larsson H. Individual risk and familial liability for suicide attempt and suicide in autism: a population-based study. Psychol Med. 2019;26:1–2.
Kirby AV, Bakian AV, Zhang Y, Bilder DA, Keeshin BR, Coon H. A 20-year study of suicide death in a statewide autism population. Autism Res. 2019;12(4):658–66.
Kõlves K, Fitzgerald C, Nordentoft M, Wood SJ, Erlangsen A. Assessment of suicidal behaviors among individuals with autism spectrum disorder in Denmark. JAMA Netw Open. 2021;4(1):2033565.
Cassidy S, Bradley P, Robinson J, Allison C, McHugh M, Baron-Cohen S. Suicidal ideation and suicide plans or attempts in adults with Asperger’s syndrome attending a specialist diagnostic clinic: a clinical cohort study. Lancet Psychiatry. 2014;1(2):142–7.
Paquette-Smith M, Weiss J, Lunsky Y. History of suicide attempts in adults with Asperger syndrome. Crisis. 2014;35:273–7.
Lai MC, Baron-Cohen S. Identifying the lost generation of adults with autism spectrum conditions. Lancet Psychiatry. 2015;2(11):1013–27.
South M, Beck JS, Lundwall R, Christensen M, Cutrer EA, Gabrielsen TP, Cox JC, Lundwall RA. Unrelenting depression and suicidality in women with autistic traits. J Autism Dev Disord. 2019;9:1–4.
Richards G, Kenny R, Griffiths S, Allison C, Mosse D, Holt R, O’Connor RC, Cassidy S, Baron-Cohen S. Autistic traits in adults who have attempted suicide. Mol Autism. 2019;10(1):26.
Takara K, Kondo T. Comorbid atypical autistic traits as a potential risk factor for suicide attempts among adult depressed patients: a case–control study. Ann Gen Psychiatry. 2014;13(1):33.
Rydén G, Rydén E, Hetta J. Borderline personality disorder and autism spectrum disorder in females: a cross-sectional study. Clin Neuropsychiatry. 2008;5(1):22–30.
Cassidy SA, Bradley L, Bowen E, Wigham S, Rodgers J. Measurement properties of tools used to assess suicidality in autistic and general population adults: a systematic review. Clin Psychol Rev. 2018;1(62):56–70.
Howe SJ, Hewitt K, Baraskewich J, Cassidy S, McMorris CA. Suicidality among children and youth with and without autism spectrum disorder: a systematic review of existing risk assessment tools. J Autism Dev Disord. 2020;50(10):3462–76.
Kamphaus RW, Frick PJ. Clinical assessment of child and adolescent personality and behavior. Berlin: Springer Science & Business Media; 2005.
Quinlivan L, Cooper J, Steeg S, Davies L, Hawton K, Gunnell D, Kapur N. Scales for predicting risk following self-harm: an observational study in 32 hospitals in England. BMJ open. 2014;4(5).
Quinlivan L, Cooper J, Davies L, Hawton K, Gunnell D, Kapur N. Which are the most useful scales for predicting repeat self-harm? A systematic review evaluating risk scales using measures of diagnostic accuracy. BMJ Open. 2016;6(2).
Quinlivan L, Cooper J, Meehan D, Longson D, Potokar J, Hulme T, Marsden J, Brand F, Lange K, Riseborough E, Page L. Predictive accuracy of risk scales following self-harm: multicentre, prospective cohort study. Br J Psychiatry. 2017;210(6):429–36.
National Institute of Clinical Excellence. Do Not Do Recommendation: Do not use risk assessment tools and scales to predict future suicide or repetition of self-harm. 2011. Available from: https://www.nice.org.uk/donotdo/do-not-use-risk-assessment-tools-and-scales-to-predict-future-suicide-or-repetition-of-selfharm
Cassidy SA, Robertson A, Townsend E, O’Connor RC, Rodgers J. Advancing our understanding of self-harm, suicidal thoughts and behaviours in autism. J Autism Dev Disorders. 2020;50:3445–9.
Cassidy SA Goodwin J, Robertson A, Rodgers R. INSAR policy brief: Autism community priorities for suicide prevention. May 2021. https://cdn.ymaws.com/www.autism-insar.org/resource/resmgr/files/policybriefs/2021-insar_policy_brief.pdf
Osman A, Bagge CL, Gutierrez PM, Konick LC, Kopper BA, Barrios FX. The suicidal behaviors questionnaire-revised (SBQ-R): validation with clinical and nonclinical samples. Assessment. 2001;8(4):443–54.
Cassidy SA, Bradley L, Cogger-Ward H, Shaw R, Bowen E, Glod M, Baron-Cohen S, Rodgers J. Measurement properties of the suicidal behaviour questionnaire-revised in autistic adults. J Autism Dev Disord. 2020;50(10):3477–88.
Cassidy SA, Gould K, Townsend E, Pelton M, Robertson AE, Rodgers J. Is camouflaging autistic traits associated with suicidal thoughts and behaviours? Expanding the interpersonal psychological theory of suicide in an undergraduate student sample. J Autism Dev Disord. 2020;50(10):3638–48.
Stanley IH, Day TN, Gallyer AJ, Shelef L, Kalla C, Gutierrez PM, Joiner TE. Autism-related traits and suicide risk among active duty US military service members. Psychol Serv. 2020.
Hedley D, Uljarević M, Foley KR, Richdale A, Trollor J. Risk and protective factors underlying depression and suicidal ideation in autism spectrum disorder. Depress Anxiety. 2018;35(7):648–57.
Hedley D, Uljarević M, Wilmot M, Richdale A, Dissanayake C. Understanding depression and thoughts of self-harm in autism: a potential mechanism involving loneliness. Res Autism Spectrum Disorders. 2018;46:1–7.
Hedley D, Uljarević M. Systematic review of suicide in autism spectrum disorder: current trends and implications. Curr Dev Disord Rep. 2018;5(1):65–76.
Moseley RL, Gregory NJ, Smith P, Allison C, Baron-Cohen S. Links between self-injury and suicidality in autism. Mol Autism. 2020;11(1):1–5.
Pelton MK, Cassidy SA. Are autistic traits associated with suicidality? A test of the interpersonal-psychological theory of suicide in a non-clinical young adult sample. Autism Res. 2017;10(11):1891–904.
Pelton MK, Crawford H, Robertson AE, Rodgers J, Baron-Cohen S, Cassidy S. Understanding suicide risk in autistic adults: comparing the interpersonal theory of suicide in autistic and non-autistic samples. J Autism Dev Disord. 2020;3:1–8.
Cassidy, S. Suicidality and self-harm in autism spectrum conditions. In: S. White, B. Maddox & C. Mazefsky (Eds.), Oxford handbook of autism and co-occurring psychiatric conditions. Oxford: Oxford University Press; 2020, June 25.
Aloba O, Ojeleye O, Aloba T. The psychometric characteristics of the 4-item suicidal behaviors questionnaire-revised (SBQ-R) as a screening tool in a non-clinical sample of Nigerian university students. Asian J Psychiatr. 2017;1(26):46–51.
Hoekstra RA, Vinkhuyzen AA, Wheelwright S, Bartels M, Boomsma DI, Baron-Cohen S, Posthuma D, Van Der Sluis S. The construction and validation of an abridged version of the autism-spectrum quotient (AQ-Short). J Autism Dev Disord. 2011;41(5):589–96.
Baron-Cohen S, Wheelwright S, Skinner R, Martin J, Clubley E. The autism-spectrum quotient (AQ): evidence from asperger syndrome/high-functioning autism, malesand females, scientists and mathematicians. J Autism Dev Disord. 2001;31(1):5–17.
Baghdadli A, Russet F, Mottron L. Measurement properties of screening and diagnostic tools for autism spectrum adults of mean normal intelligence: a systematic review. Eur Psychiatry. 2017;1(44):104–24.
Booth T, Murray AL, McKenzie K, Kuenssberg R, O’Donnell M, Burnett H. Brief report: an evaluation of the AQ-10 as a brief screening instrument for ASD in adults. J Autism Dev Disord. 2013;43(12):2997–3000.
Hull L, Mandy W, Lai MC, Baron-Cohen S, Allison C, Smith P, Petrides KV. Development and validation of the camouflaging autistic traits questionnaire (CAT-Q). J Autism Dev Disord. 2019;49(3):819–33.
Rodgers J, Farquhar K, Mason D, Brice S, Wigham S, Ingham B, Freeston M, Parr JR. Development and initial evaluation of the anxiety scale for autism-adults. Autism in Adulthood. 2020;2(1):24–33.
Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606–13.
American Psychiatric Association. Diagnostic and statistical manual of mental disorders (DSM-5®). American Psychiatric Pub; 2013 May 22.
Cassidy SA, Bradley L, Bowen E, Wigham S, Rodgers J. Measurement properties of tools used to assess depression in adults with and without autism spectrum conditions: a systematic review. Autism Res. 2018;11(5):738–54.
Arnold SR, Uljarević M, Hwang YI, Richdale AL, Trollor JN, Lawson LP. Brief report: psychometric properties of the patient health Questionaire-9 (PHQ-9) in autistic adults. J Autism Dev Disord. 2019;7:1–9.
Van Orden KA, Cukrowicz KC, Witte TK, Joiner TE Jr. Thwarted belongingness and perceived burdensomeness: Construct validity and psychometric properties of the Interpersonal Needs Questionnaire. Psychol Assess. 2012;24(1):197.
Pelton MK, Crawford H, Robertson AE, Rodgers J, Baron-Cohen S, Cassidy S. A measurement invariance analysis of the Interpersonal Needs Questionnaire and Acquired Capability for Suicide Scale in autistic and non-autistic adults. Autism in Adulthood. 2020 May 27.
Lockwood J, Townsend E, Royes L, Daley D, Sayal K. What do young adolescents think about taking part in longitudinal self-harm research? Findings from a school-based study. Child Adolesc Psychiatry Ment Health. 2018;12(1):1–3.
Mokkink LB, Terwee CB, Patrick DL, Alonso J, Stratford PW, Knol DL, Bouter LM, de Vet HC. COSMIN checklist manual. Amsterdam: University Medical Center; 2012.
Field A. Discovering statistics using IBM SPSS statistics. Sage; 2013
Brown TA. Confirmatory factor analysis for applied research. Guilford publications; 2015
Stevens JP. Applied multivariate statistics for the social sciences. Routledge; 2012.
Bryant FB, Yarnold PR. Principal-components analysis and exploratory and confirmatory factor analysis. In: L. G. Grimm & P. R. Yarnold (Eds.), Reading and understanding multivariate statistics, Washington, DC: American Psychological Association, pp 99–136
Hu LT, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struct Equ Modeling. 1999;6(1):1–55.
Hu LT, Bentler PM. Fit indexes in covariance structural equation modeling. Unpublished manuscript. 1993.
Byrne BM. Testing for multigroup invariance using AMOS graphics: A road less traveled. Struct Equ Model. 2004;11(2):272–300.
Cheung GW, Rensvold RB. Evaluating goodness-of-fit indexes for testing measurement invariance. Struct Equ Model. 2002;9(2):233–55.
Chen FF. Sensitivity of goodness of fit indexes to lack of measurement invariance. Struct Equ Modeling. 2007;14(3):464–504.
Wigham S, Rodgers J, South M, McConachie H, Freeston M. The interplay between sensory processing abnormalities, intolerance of uncertainty, anxiety and restricted and repetitive behaviours in autism spectrum disorder. J Autism Dev Disord. 2015;45(4):943–52.
Bird G, Silani G, Brindley R, White S, Frith U, Singer T. Empathic brain responses in insula are modulated by levels of alexithymia but not autism. Brain. 2010;133(5):1515–25.
Jaswal VK, Akhtar N. Being versus appearing socially uninterested: Challenging assumptions about social motivation in autism. Behavioral and Brain Sciences. 2019;42.
Mitchell P, Sheppard E, Cassidy S. Autism and the double empathy problem: Implications for development and mental health. Br J Dev Psychol. 2021;39(1):1–8.
Benevides TW, Cassidy SA. Measuring What Matters in Autism Research and Practice.
Nicolaidis C, Raymaker DM, McDonald KE, Lund EM, Leotti S, Kapp SK, Katz M, Beers LM, Kripke C, Maslak J, Hunter M. Creating accessible survey instruments for use with autistic adults and people with intellectual disability: Lessons learned and recommendations. Autism in Adulthood. 2020;2(1):61–76.
Willis GB. Cognitive interviewing: a tool for improving questionnaire design. sage publications; 2004 Sep 14.
Dworzynski K, Ronald A, Bolton P, Happé F. How different are girls and boys above and below the diagnostic threshold for autism spectrum disorders? J Am Acad Child Adolesc Psychiatry. 2012;51(8):788–97.
We would like to extend our sincere thanks to all those who assisted in the studies. For helpful discussions, we would like to thank our autistic partners in the Coventry Autism Steering Group, all attendees at the Mental Health in Autism Stakeholder Events between 2016-2019, and our colleagues Prof. Helen McConachie, David Mason, Dr Magdalena Glod, Dr Sarah Wigham, Dr Jane Goodwin, Prof. Simon Baron-Cohen, Prof. Erica Bowen, and Prof. Clare Wood. For assistance with recruitment, we would like to thank Paula Smith and the Cambridge Autism Research Database committee for advertising our study advert through the Cambridge Autism Research Database (based at the Autism Research Centre, University of Cambridge, UK), and Autistica for advertising our study advert through the Autistica Network. We are extremely grateful to all the participants who took part in our research.
This research was supported by the Economic and Social Research Council [grant number ES/N000501/1 + ES/N000501/2], the University of Nottingham, and Autistica [Grant Number 7249] (received by SAC).
Ethics approval and consent to participate
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. Ethics approval for this study was obtained through the institutional Human Research Ethics Committee. Informed consent was obtained from all individual participants included in the study. Participants were provided information pertaining to the study via a Plain Language Statement, which was presented to them before commencing the study. All participants provided informed consent by reading the participant information sheet and completing a consent form (online or in person).
Consent for publication
Not applicable. All participant information and data are anonymous.
The authors declare they had no competing interests.
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Cassidy, S.A., Bradley, L., Cogger-Ward, H. et al. Development and validation of the suicidal behaviours questionnaire - autism spectrum conditions in a community sample of autistic, possibly autistic and non-autistic adults. Molecular Autism 12, 46 (2021). https://doi.org/10.1186/s13229-021-00449-3
- Autism spectrum conditions
- Autistic traits
- Measurement properties
- Suicidal behaviours questionnaire
- Measurement invariance