Utility of Single Items within the Suicidal Behaviors Questionnaire-Revised (SBQ-R): A Bayesian Network Approach and Relative Importance Analysis.

The Suicidal Behaviors Questionnaire-Revised (SBQ-R), a 4-item instrument for assessing and screening suicide-related thoughts and behaviors, has been translated into several different languages. In this study, we examined the psychometric properties of the SBQ-R and a new Chinese version of the instrument (C-SBQ-R) for college student samples. We used the culture, comprehension, and translation bias (CCT) procedure to examine the responses of independent Chinese college student samples who completed the C-SBQ-R (N₁ = 298) and the SBQ-R (N₂ = 292) and a U.S. college student sample (N₃ = 320) who completed the SBQ-R. We found that the samples' C-SBQ-R and SBQ-R scale scores showed acceptable internal consistency reliability estimates, factor structures, and concurrent validity estimates. Measurement invariance was established across groups differing in (a) language but not culture, (b) culture but not language, and (c) both language and culture. Receiver operating characteristic curve analysis results showed that the cutoff score of 7 was similar for both the C-SBQ-R and the SBQ-R in screening for suicide-related thoughts and behaviors. Our findings provided empirical support that the psychometric properties of the C-SBQ-R and the SBQ-R are similar; both could be used to assess the suicide-related thoughts and behaviors constructs. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Validation and psychometric properties of Suicide Behaviors Questionnaire-Revised (SBQ-R) in Iran

A comparison between American and Chinese college students on suicide-related behavior parameters

A longitudinal examination of suicide-related thoughts and behaviors among bariatric surgery patients

ObjectivePrevious research has shown an association between certain personality characteristics and suicidality. Methodological differences including small sample sizes and missing adjustment for possible confounding factors could explain the varying results. The aim of this study was to assess the impact of the Big Five personality dimensions on suicidality in a representative population based sample of adults.MethodInterviews were conducted in a representative German population-based sample (n=2555) in 2011. Personality characteristics were assessed using the Big Five Inventory-10 (BFI-10) and suicide risk was assessed with the Suicidal Behaviors Questionnaire-Revised (SBQ-R). Multivariate logistic regression models were calculated adjusting for depression, anxiety, and various sociodemographic variables.ResultsNeuroticism and openness were significantly associated with suicide risk, while extraversion and conscientiousness were found to be protective. Significant sex differences were observed. For males, extraversion and conscientiousness were protective factors. Neuroticism and openness were found to be associated with suicide risk only in females. These associations remained significant after adjusting for covariates.ConclusionThe results highlight the role of personality dimensions as risk factors for suicide-related behaviors. Different personality dimensions are significantly associated with suicide-related behaviors even when adjusting for other known risk factors of suicidality.

The COVID‐19 pandemic has had a significant impact on the mental health and wellbeing of the world's population, with particularly negative effects on vulnerable populations, including autistic people. Although some consensus regarding specific impact on aspects of wellbeing and mental health in autism is starting to emerge, it is unclear whether the pandemic has increased suicide risk. The goals of this study were to examine (a) potential associations between COVID‐19 impact and depression, personal wellbeing, and suicide risk factors in Australian autistic adults and (b) age and gender effects. The COVID‐19 Impact Scale (CIS), Personal Wellbeing Index, Patient Health Questionnaire, and the Suicide Behavior Questionnaire, Revised (SBQ‐R), were administered to 111 autistic adults aged 20 to 71 years during the second wave of the COVID‐19 pandemic in Australia. COVID‐19 impact showed small associations with poorer personal wellbeing (r = −0.224, p = 0.023, [−0.409, −0.016]) and higher depressive symptoms (r = 0.268, p = 0.006, [0.056, 0.445]) and was not associated with the SBQ‐R suicide risk score (r = 0.081, p = 0.418, [−0.118, 0.264). No significant effects were identified for age. Although model results were similar for women and men, the strength of the associations between personal wellbeing and depression (z = −2.16, p = 0.015), and depression and SBQ‐R suicide risk (z = 1.961, p = 0.025), were stronger in women than in men. Qualitative analysis of an open response question from the CIS suggested that the pandemic had both positive and negative impacts on participants. The COVID‐19 pandemic has had a large impact on the mental health and wellbeing of the world's population, particularly vulnerable populations such as autistic people. It is not known if these impacts on mental health and wellbeing have increased suicide risk. Our findings suggest that the impact of the COVID‐19 pandemic may be associated with poorer wellbeing and higher depression, but is not associated with suicide risk. Overall, autistic people reported both positive and negative impacts of the pandemic on their lives.

A Suicide-Specific Diagnosis – The Case Against

Recent research on the role of general mental ability (GMA) and specific abilities in work-related outcomes has shown that the results differ depending on the theoretical and conceptual approach that researchers use. While earlier research has typically assumed that GMA causes the specific abilities and has thus used incremental validity analysis, more recent research has explored the implications of treating GMA and specific abilities as equals (differing only in breadth and not subordination) and has used relative importance analysis. In this article, we extend this work to the prediction of extrinsic career success operationalized as pay, income, and the attainment of jobs with high prestige. Results, based on a large national sample, revealed that GMA and specific abilities measured in school were good predictors of job prestige measured after 11 years, pay measured after 11 years, and income 51 years later toward the end of the participants' work lives. With 1 exception, GMA was a dominant predictor in incremental validity analyses. However, in relative importance analyses, the majority of the explained variance was explained by specific abilities, and GMA was not more important than single specific abilities in relative importance analyses. Visuospatial, verbal, and mathematical abilities all had substantial variance shares and were also more important than GMA in some of the analyses. Implications for the interpretation of cognitive ability data and facilitating people's success in their careers are discussed. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

This study aimed to investigate the association between the risk of suicidal behaviors and student-supervisor relationships and subjective family socioeconomic status (SFSS) in medical graduate students, and to propose preventive strategies to reduce the suicidal risk among medical graduate students. A total of 1,310 validated questionnaires were collected from medical graduate students, which included demographic information, study programs, the Suicidal Behaviors Questionnaire-Revised (SBQ-R) questionnaire, the Leader-Member Exchange 7 (LMX-7) questionnaire, and SFSS by MacArthur Scale. Multiple regression analysis was employed to examine the associations between variables and adjust for confounders. A moderation analysis, containing simple slope analysis and Johnson-Neyman interval plots were used to analyze the moderating effect of the SFSS in the association of SBQ-R and LMX-7 scores. A total of 88 participants (6.7%) were at risk of suicidal behaviors. In the high-quality student-supervisor relationship group (LMX-7 score ≥ 25), SFSS was significantly higher than in the low- and moderate-quality relationship group (p=0.002). The median SBQ-R score and proportion of suicide risk was significantly lower (p<0.001) in the high-quality student-supervisor relationship group. Multiple regression analysis indicated LMX-7 scores (β=-0.098, 95% CI [-0.118, -0.077], p<0.001) and SFSS (β=-0.073, 95% CI [-0.127, -0.019], p=0.008) were significantly negatively associated with SBQ-R, whereas the interaction term of SFSS with LMX-7 (β=0.018, 95% CI [0.007, 0.029], p=0.001) showed a significant positive association with SBQ-R. The Johnson-Neyman interval showed a significant association between LMX-7 and SBQ-R scores only when SFSS was less than 7.82 (p<0.05). The risk of suicidal behaviors was associated with student-supervisor relationships and SFSS among medical graduate students. Poor relationships with supervisor were associated with an elevated risk of suicidality, and SFSS moderated this association. Educators should pay increased attention to the suicidal risk of medical graduate students with poor supervisor relationships, especially those from families with low SFSS, and provide timely preventive strategies.

Background: Despite the widespread use of the Suicidal Behaviors Questionnaire-Revised (SBQ-R) and advances in item response theory (IRT) modeling, item-level analysis with the SBQ-R has been minimal. Aims: This study extended IRT modeling strategies to examine the response parameters and potential differential item functioning (DIF) of the individual SBQ-R items in samples of US (N = 320) and Chinese (N = 298) undergraduate students. Method: Responses to the items were calibrated using the unidimensional graded response IRT model. Goodness-of-fit, item parameters, and DIF were evaluated. Results: The unidimensional graded response IRT model provided a good fit to the sample data. Results showed that the SBQ-R items had various item discrimination parameters and item severity parameters. Also, each SBQ-R item functioned similarly between the US and Chinese respondents. In particular, Item 1 (history of attempts) demonstrated high discrimination and severity of suicide-related thoughts and behaviors (STBs). Limitations: The use of cross-sectional data from convenience samples of undergraduate students could be considered a major limitation. Conclusion: The findings from the IRT analysis provided empirical support that each SBQ-R item taps into STBs and that scores for Item 1 can be used for screening purposes.

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.

Suicide and suicidal ideation are topics that have a long but limited history in stuttering research. Clinicians and clinical researchers have discussed personal and therapeutic experiences with clients who have attempted suicide, died by suicide, or struggled with suicidal thoughts. This study sought to (a) explore the occurrence of suicidal ideation in a sample of adults who stutter; (b) evaluate the relationship between adverse impact related to stuttering and suicidal ideation; and (c) document respondents' thoughts related to suicide, stuttering, and their intersection. One hundred forty adults who stutter completed the Suicide Behavior Questionnaire-Revised (SBQ-R). Of these, 70 participants completed the Perseverative Thinking Questionnaire (PTQ), and 67 completed the Overall Assessment of the Speaker's Experience of Stuttering (OASES). Participants who indicated at least some tendency for suicidal thoughts on the SBQ-R (n = 95) were then asked a set of follow-up questions to explore their experiences of suicidal ideation related to stuttering. Quantitative data indicated that the majority of adults who reported experiencing suicidal ideation associated these experiences with stuttering (61.2%, n = 59). Individuals with higher Total Scores on the PTQ and OASES were predicted to experience significantly higher rates of suicidal ideation and, in particular, a higher likelihood of having more frequent suicidal ideation in the past year. Qualitative analyses revealed that suicidal ideation intersects meaningfully with the experience of stuttering. Data from this study highlight the importance of considering broader life consequences of stuttering that some adults may experience, including suicidal ideation. By being cognizant that clients may develop such thoughts, speech-language pathologists can play a valuable role in identifying and providing necessary support for at-risk individuals. https://doi.org/10.23641/asha.23699688.

The purpose of this study is to demonstrate that a Bayesian network (BN) approach can explore hierarchical biophysical relationships that influence tumor response and predict tumor local control (LC) in non-small-cell lung cancer (NSCLC) patients before and during radiotherapy from a large-scale dataset. Our BN building approach has two steps. First, relevant biophysical predictors influencing LC before and during the treatment are selected through an extended Markov blanket (eMB) method. From this eMB process, the most robust BN structure for LC prediction was found via a wrapper-based approach. Sixty-eight patients with complete feature information were used to identify a full BN model for LC prediction before and during the treatment. Fifty more recent patients with some missing information were reserved for independent testing of the developed pre- and during-therapy BNs. A nested cross-validation (N-CV) was developed to evaluate the performance of the two-step BN approach. An ensemble BN model is generated from the N-CV sampling process to assess its similarity with the corresponding full BN model, and thus evaluate the sensitivity of our BN approach. Our results show that the proposed BN development approach is a stable and robust approach to identify hierarchical relationships among biophysical features for LC prediction. Furthermore, BN predictions can be improved by incorporating during treatment information.

Suicide is the third leading cause of death in college students, but there is limited consensual evidence to guide clinicians’ assessment and management of suicide. The aim of the current study was to assess the capability of a simple and practical measure, the Beck Depression Inventory (BDI) suicide item, to identify college students at high risk of suicide. Exploration of this research question could have important implications in this vulnerable population for identifying those at risk for suicide. Six-hundred-and-fifty-seven college students participated in a mental health screening and completed the BDI and the Suicidal Behaviors Questionnaire-Revised (SBQ-R), which is a detailed measure of suicide risk. We dichotomized the BDI suicide item, which measures suicidal ideation within the past week (presence vs. absence of suicidal ideation) as well as the SBQ-R total score (low vs. high risk of suicide). We computed the kappa statistic for the examination of agreement between these two measures. The kappa coefficient for the BDI suicide item and the SBQ-R was 0.57 for dichotomized scores. The BDI suicide item had a positive predictive value of 74 %, and a negative predictive value of 93 %. In a hierarchical linear regression, the BDI suicide item alone significantly predicted elevated scores on the SBQ-R [Chi square (1) = 128.427, p < 0.001]. These results suggest that affirmative responses on the single BDI suicide item indicate elevated suicide risk. However this single item screening approach will miss some at-risk students.

Familismo neutralizes the effects of discrimination on suicide-related thoughts and behaviors in Latinx young adults