Self-Report of Suicidal Thoughts and Behavior vs. School Nurse Evaluations in Dutch High-School Students

Crisis ◽  
2011 ◽  
Vol 32 (3) ◽  
pp. 121-127 ◽  
Author(s):  
Erik Jan de Wilde ◽  
Petra van de Looij ◽  
Judith Goldschmeding ◽  
Christina Hoogeveen

Background: Systematic screening to identify adolescents at risk for suicidal behavior is crucial to suicide prevention. Aims: The current practice of screening and follow-up actions taken by school nurses in schools for secondary education in Rotterdam, the Netherlands, was studied. Methods: In Rotterdam, an approach was developed in which, as a standard routine, students are invited to an interview with a school nurse after filling out a youth health survey in classroom setting. This health survey comprised, among other subjects, the Strengths and Difficulties Questionnaire (SDQ) and questions about suicidal thoughts and behaviors. The results from the interviews and the self-report questionnaires of nearly 4000 first-grade students in secondary education were analyzed. Results: The vast majority of invitations were not followed by any action from the school nurse. Also, the majority of students whose self-report led to an “Attention Subject” for the nurse were not considered to be at risk by the nurse. The self-report of recent suicidal thoughts added to the predictive value of emotional distress as measured by the SDQ and other self-report conclusions. Conclusions: This study demonstrates the additional value of self-reported suicidal thoughts for Dutch preventive practices in youth health care.

2018 ◽  
Vol 30 (1) ◽  
pp. 1-16 ◽  
Author(s):  
Pedro Pechorro ◽  
Rissélice Lima ◽  
Mário R. Simões ◽  
Matt DeLisi

2012 ◽  
Vol 29 (5) ◽  
pp. 391-407 ◽  
Author(s):  
Nor Ba’yah Abdul Kadir ◽  
Samsudin A. Rahim ◽  
Mimi Hanida Abdul Mutalib ◽  
Wan Amizah Wan Mahmud ◽  
Sheau Tsuey Chong ◽  
...  

2020 ◽  
Author(s):  
Namik Kirlic ◽  
Elisabeth Akeman ◽  
Danielle DeVille ◽  
Henry Yeh ◽  
Kelly T. Cosgrove ◽  
...  

Background: An estimated 1100 college students die by suicide each year. Our ability to predict who is at risk for suicide, as well as our knowledge of resilience factors protecting against it, remains limited. We used a machine learning (ML) framework in conjunction with a large battery of self-report and demographic measures to select features contributing most to observed variability in suicidal thoughts and behaviors (STBs) in college.Method: First-year university students completed demographic and clinically-relevant self-report measures at the beginning of the first semester of college (baseline; n=356), and at end-of-year (n=228). Suicide Behaviors Questionnaire-Revised (SBQ-R) assessed STBs. A ML pipeline with 55 and 57 variables using stacking and nested cross-validation to avoid overfitting was conducted to examine predictors of baseline and end-of-year STBs, respectively. Results: For baseline SBQ-R score, the identified ML algorithm explained 28.3% of variance (95%CI: 28-28.5%), with depression severity, meaning and purpose in life, and social isolation among the most important predictors. For end-of-year SBQ-R score, the identified algorithm explained 5.6% of variance [95%CI: 5.1-6.1%], with baseline SBQ-R score, emotional suppression, and positive emotional experiences among the most important predictors.Limitations: External validation of the model with another independent sample is needed for further demonstrating its replicability.Conclusions: ML analyses replicated known factors contributing to STBs, and identified novel, potentially modifiable risk and resilience factors. Intervention programing on college campuses aiming to reduce depressive symptomatology, promote positive affect and social connectedness, and foster a sense of meaning and purpose, may be effective in reducing STBs.


2019 ◽  
Vol 34 (1) ◽  
pp. 120-135 ◽  
Author(s):  
Pedro Pechorro ◽  
Katinea Moreira ◽  
Miguel Basto-Pereira ◽  
João Pedro Oliveira ◽  
James V. Ray

Juvenile delinquency is a universal problem, with serious personal, economic, and social consequences that span national boundaries. Thus, cross-culturally valid and reliable measures of delinquency are critical to providing a better understanding of the causes, correlates, and outcomes of delinquency. The main aim of the present study was to examine the psychometric properties of a Portuguese version of the self-report delinquency measure items created for the National Longitudinal Study of Adolescent Health (Add Health). A sample (N = 412) of male (n = 200) and female (n = 212) at-risk for delinquency youths agreed to participate in the present study. The measure demonstrated satisfactory psychometric properties, namely in terms of its two-factor structure (violent and nonviolent delinquency), internal consistency, convergent validity, discriminant validity, criterion-related validity, and known-groups validity. Findings suggest the Add Health Self-Report Delinquency (AHSRD) is an interculturally valid and reliable measure of violent and nonviolent delinquency among at-risk male and female youths.


2021 ◽  
Author(s):  
Sukriti Drabu

This study investigated the role of culture on suicidal thoughts and behaviors by examining (i) differences in explicit reporting of suicidal thoughts and behaviors, (ii) differences in implicit association of suicidal thoughts (iii) correlation of implicit- explicit reporting of suicidal thoughts and behaviors (iv) correlation between religion, religiosity level and reporting of suicidal thoughts between community samples from India and the USA. The study also tested the feasibility of using a measure of cognitive processing (i.e. the Implicit Association Task) as opposed to a self-report measure to identify implicit or hidden associations with suicidal thoughts or behaviors. Given the scarcity of available research on cross-cultural suicidal thoughts and behaviors, this study aims to bridge the current gap and provide evidence on the cultural variability in expression and development of suicidal thoughts and behaviors. The study hypothesized a lower level of explicit reporting of suicidal thoughts and behaviors in the Indian sample (as compared to the USA sample), but equivalent or higher level of implicit association with death/suicide related stimuli. Further, a significant difference in the correlation between religiosity level and suicidal behaviors, moderated by religion, was expected between the two countries. Participants were recruited online using Mechanical Turk to target individuals from India and the USA. A self-report questionnaire format was used to capture information about the participants’ explicit reporting of suicidal thoughts and behaviors, associated risk factors, religious affiliations and country of birth. Implicit cognition towards suicide was measured using an online version of the Death/Suicide IAT. The results showed a significantly lower level of explicit reporting in India as compared to the USA sample but comparable implicit reporting levels. Further, the results also reported a significantly different correlation of religiosity and suicidal thoughts between the two country samples. This study provides initial evidence suggesting a significant role of cultural setting in the reporting and expression of suicidal thoughts and behaviors. This study is also the first to test the feasibility of using the Death/Suicide IAT for measuring implicit suicide related cognition in India.


2019 ◽  
Vol 34 (1) ◽  
pp. 120-135 ◽  
Author(s):  
Pedro Pechorro ◽  
Katinea Moreira ◽  
Miguel Basto-Pereira ◽  
João Pedro Oliveira ◽  
James V. Ray

Juvenile delinquency is a universal problem, with serious personal, economic, and social consequences that span national boundaries. Thus, cross-culturally valid and reliable measures of delinquency are critical to providing a better understanding of the causes, correlates, and outcomes of delinquency. The main aim of the present study was to examine the psychometric properties of a Portuguese version of the self-report delinquency measure items created for the National Longitudinal Study of Adolescent Health (Add Health). A sample (N = 412) of male (n = 200) and female (n = 212) at-risk for delinquency youths agreed to participate in the present study. The measure demonstrated satisfactory psychometric properties, namely in terms of its two-factor structure (violent and nonviolent delinquency), internal consistency, convergent validity, discriminant validity, criterion-related validity, and known-groups validity. Findings suggest the Add Health Self-Report Delinquency (AHSRD) is an interculturally valid and reliable measure of violent and nonviolent delinquency among at-risk male and female youths.


2019 ◽  
Vol 7 (5) ◽  
pp. 941-957 ◽  
Author(s):  
Jessica D. Ribeiro ◽  
Xieyining Huang ◽  
Kathryn R. Fox ◽  
Colin G. Walsh ◽  
Kathryn P. Linthicum

For decades, our ability to predict suicidal thoughts and behaviors (STBs) has been at near-chance levels. The objective of this study was to advance prediction by addressing two major methodological constraints pervasive in past research: (a) the reliance on long follow-ups and (b) the application of simple conceptualizations of risk. Participants were 1,021 high-risk suicidal and/or self-injuring individuals recruited worldwide. Assessments occurred at baseline and 3, 14, and 28 days after baseline using a range of implicit and self-report measures. Retention was high across all time points (> 90%). Risk algorithms were derived and compared with univariate analyses at each follow-up. Results indicated that short-term prediction alone did not improve prediction for attempts, even using commonly cited “warning signs”; however, a small set of factors did provide fair-to-good short-term prediction of ideation. Machine learning produced considerable improvements for both outcomes across follow-ups. Results underscore the importance of complexity in the conceptualization of STBs.


2020 ◽  
Vol 36 (1) ◽  
Author(s):  
Jessica Pronestino de Lima Moreira ◽  
Renan Moritz Varnier Rodrigues de Almeida ◽  
Nei Carlos dos Santos Rocha ◽  
Ronir Raggio Luiz

The objective was to correct the self-reported prevalence of systemic arterial hypertension (SAH) obtained from the Brazilian National Health Survey (PNS 2013). SAH prevalence estimates were corrected by means of sensitivity/specificity of information. Sensitivity and specificity values from a similar study (same self-report question, age range and gold standard) were used to this end. A sensitivity analysis was also performed, by using the upper and lower limits of confidence intervals as sensitivity and specificity parameters. The corrected prevalence of SAH for Brazil as a whole was 14.5% (self-reported: 22.1%). Women presented a higher rate of self-reported SAH but, after correction, men were found to have a higher prevalence. Among younger women (18-39 age range), the self-reported prevalence was 6.2%, a value that, after correction, dropped to 0.28%. There was not much difference between self-reported and corrected SAH among the elderly (51.1% vs. 49.2%). For certain groups the corrected results were greatly different from the self-reported prevalence, what may severely impact public health policy strategies.


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