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Behavioral Sciences
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Exploring the Complexity of Internalizing Disorders in Suicidal Youth and...
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Exploring the Complexity of Internalizing Disorders in Suicidal Youth and Suicide Prevention

A special issue of Behavioral Sciences (ISSN 2076-328X). This special issue belongs to the section "Health Psychology".

Deadline for manuscript submissions: closed (28 February 2025) | Viewed by 5792

Special Issue Editors

Prof. Dr. Augustine Osman

E-Mail Website
Guest Editor
Department of Psychology, University of Texas at San Antonio, San Antonio, TX 78249, USA
Interests: psychometric; structural equation modeling; scale construction; item response theory; applied psychometrics; Bayesian methods; test construction and validation; risk and protective factors for mental health; applied behavior analysis
Dr. Jenny Mei Yiu Huen

E-Mail Website
Guest Editor
The Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong, Hong Kong, China
Interests: test construction and validation; applied psychometrics; assessment technologies; suicide prevention

Special Issue Information

Dear Colleagues,

We are pleased to invite you to contribute to this Special Issue entitled "Exploring the Complexity of Internalizing Disorders in Suicidal Youth and Suicide Prevention.” Suicide remains a leading cause of death worldwide among adolescents and young adults. Suicide prevention requires a superior understanding of the complex factors that can identify suicidal youth. As an example, Bayesian network analysis can map the complex associations between the internalizing factors contributing to suicidal ideation and actions.

For this Special Issue, we welcome innovative psychometric and statistical modeling studies that utilize scores on valid measures to enhance our understanding of the relationships among internalizing disorders. Importantly, we encourage submissions across disciplines that examine the relationships between internalizing disorders, including suicidal thoughts, mood disorders, emotions, and at-risk behaviors in youth. We can better understand the risk and protective factors and inform upstream prevention models by elucidating the complex patterns of thoughts, feelings, and behaviors in clinical and non-clinical youth.

Research areas may include, but are not limited to, the following:

  • Network models of internalizing disorders in clinical/non-clinical samples.
  • Factors that understand fluctuations in internalizing disorders or predict transitions from internalizing conditions (e.g., suicide-related thoughts) to externalizing disorders (e.g., suicidal attempts).
  • Innovative modeling strategies for developing and validating scores on tools for screening/assessing internalizing disorders for youth and young adults.

We look forward to receiving your contributions employing contemporary modeling techniques to explore the complexity of internalizing disorders in suicidal youth and suicide prevention.

Prof. Dr. Augustine Osman
Dr. Jenny Mei Yiu Huen
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Behavioral Sciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • internalizing disorders
  • youth suicide
  • suicide prevention
  • modern statistical and psychometric methods
  • assessment

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Published Papers (3 papers)

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Research

13 pages, 631 KiB  
Article
Measuring Psychological Strains: A Psychometric Study to Develop a Shortened Version of the Psychological Strain Scales
by Ching Sin Siau, Jie Zhang, Won Sun Chen, Nur Zakiah Mohd Saat, Bob Lew, Xiaodong Ma and Kairi Kõlves
Behav. Sci. 2024, 14(12), 1157; https://doi.org/10.3390/bs14121157 - 2 Dec 2024
Viewed by 1195
Abstract
The Psychological Strain Scale (PSS) has been widely used in various populations to assess the risks of suicidality and mental disorders. The current study aims to shorten the original 40-item scale and test its psychometric properties. Data were derived from three samples in [...] Read more.
The Psychological Strain Scale (PSS) has been widely used in various populations to assess the risks of suicidality and mental disorders. The current study aims to shorten the original 40-item scale and test its psychometric properties. Data were derived from three samples in China: (1) undergraduate students (n = 10,742), (2) non-medical office employees (n = 1044), and (3) hospital workers (n = 949). A questionnaire was administered to the samples at about the same time of the year 2017. Data were randomly divided into Sub-study 1 (70% of the sample) and Sub-study 2 (30% of the sample). In Sub-study 1, principal component analyses were run and five items with the highest factor loadings within each subscale were retained, resulting in a 20-item PSS scale. Cronbach’s α estimates were above 0.70. In Sub-study 2, confirmatory factor analyses for the three samples revealed RMSEA values below 0.10, PNFI values below 0.50 for all samples, and CFI, TLI and NFI values above 0.90 for the student and non-medical office employee samples, but the hospital worker sample had a TLI of 0.88. The PSS-20 and its subscales were significantly associated with past-year suicidal ideation. The PSS-20 has acceptable psychometric properties but requires further testing in university students and hospital workers. Full article
(This article belongs to the Special Issue Exploring the Complexity of Internalizing Disorders in Suicidal Youth and Suicide Prevention)
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14 pages, 500 KiB  
Article
Psychometric Properties of the Malay Suicidal Behaviors Questionnaire-Revised (SBQ-R) in Malaysian Undergraduates
by Ching Sin Siau, Yee Kee Tan, Norhayati Ibrahim, Kairi Kõlves, Jie Zhang, Muhamad Nur Fariduddin, Bee Seok Chua, Whye Lian Cheah, Sharifah Munirah Syed Elias, Siti Nazilah Mat Ali, Serena In, Alex Lian Sheng Lim, Geetha Subramaniam, Walton Wider, Sherina Mohd Sidik, Siew Tin Tan, Bob Lew and Lai Fong Chan
Behav. Sci. 2024, 14(11), 1085; https://doi.org/10.3390/bs14111085 - 12 Nov 2024
Viewed by 1598
Abstract
The psychometric properties of the Malay Suicidal Behaviors Questionnaire-Revised (SBQ-R) need to be tested as it is increasingly utilized, and there is a lack of a brief, validated scale to examine suicidal behaviors in Malaysia. A total of 713 and 715 undergraduates answered [...] Read more.
The psychometric properties of the Malay Suicidal Behaviors Questionnaire-Revised (SBQ-R) need to be tested as it is increasingly utilized, and there is a lack of a brief, validated scale to examine suicidal behaviors in Malaysia. A total of 713 and 715 undergraduates answered the English and Malay SBQ-R, respectively. Exploratory factor analysis derived a one-factor solution, with a total explained variance of 58.0% accounted for by the four items. Confirmatory factor analyses supported the one-factor model for the Malay SBQ-R, with acceptable fit indices (χ2/df = 0.451, comparative and Tucker–Lewis fit indices = ≥1.000, standardized root mean square residual = 0.014, root mean square error of approximation = 0.000, and 90% CI [0.000, 0.083]). Measurement invariance was achieved when comparing the SBQ-R between the English and Malay versions, indicating that both versions are similar in Malaysian undergraduates. Convergent validity was established through a strong correlation between the Malay SBQ-R and the Malay Yatt Suicide Attitude Scale (r = 0.74; p < 0.001). Good internal consistency was achieved for both the English (α = 0.83; ω = 0.85) and Malay (α = 0.81; ω = 0.84) versions. The Malay SBQ-R has adequate validity and reliability for use in Malaysian undergraduates. Full article
(This article belongs to the Special Issue Exploring the Complexity of Internalizing Disorders in Suicidal Youth and Suicide Prevention)
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17 pages, 648 KiB  
Article
Utility of Single Items within the Suicidal Behaviors Questionnaire-Revised (SBQ-R): A Bayesian Network Approach and Relative Importance Analysis
by Jenny Mei Yiu Huen, Augustine Osman, Bob Lew and Paul Siu Fai Yip
Behav. Sci. 2024, 14(5), 410; https://doi.org/10.3390/bs14050410 - 14 May 2024
Cited by 2 | Viewed by 2228
Abstract
The Suicidal Behaviors Questionnaire-Revised (SBQ-R) comprises four content-specific items widely used to assess the history of suicide-related thoughts, plans or attempts, frequency of suicidal ideation, communication of intent to die by suicide and self-reported likelihood of a suicide attempt. Each item focuses on [...] Read more.
The Suicidal Behaviors Questionnaire-Revised (SBQ-R) comprises four content-specific items widely used to assess the history of suicide-related thoughts, plans or attempts, frequency of suicidal ideation, communication of intent to die by suicide and self-reported likelihood of a suicide attempt. Each item focuses on a specific parameter of the suicide-related thoughts and behaviors construct. Past research has primarily focused on the total score. This study used Bayesian network modeling and relative importance analyses on SBQ-R data from 1160 U.S. and 1141 Chinese undergraduate students. The Bayesian network analysis results showed that Item 1 is suitable for identifying other parameters of the suicide-related thoughts and behaviors construct. The results of the relative importance analysis further highlighted the relevancy of each SBQ-R item score when examining evidence for suicide-related thoughts and behaviors. These findings provided empirical support for using the SBQ-R item scores to understand the performances of different suicide-related behavior parameters. Further, they demonstrated the potential value of examining individual item-level responses to offer clinically meaningful insights. To conclude, the SBQ-R allows for the evaluation of each critical suicide-related thought and behavior parameter and the overall suicide risk. Full article
(This article belongs to the Special Issue Exploring the Complexity of Internalizing Disorders in Suicidal Youth and Suicide Prevention)
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