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Identifying Intersecting Factors Associated With Suicidal Thoughts and Behaviors Among Transgender and Gender Diverse Adults: Preliminary Conditional Inference Tree Analysis

Identifying Intersecting Factors Associated With Suicidal Thoughts and Behaviors Among Transgender and Gender Diverse Adults: Preliminary Conditional Inference Tree Analysis

TGD populations are also subject to the factors that drive STB risk in the general population as well as the psychological and interpersonal factors that are highlighted in established theoretical models of suicidality, including the interpersonal theory of suicide [22]. Recent research has integrated these theoretical models to suggest that the intersection of minority stressors and general suicide theoretical precursors drives STB risk in TGD people [35].

Amelia M Stanton, Lauren A Trichtinger, Norik Kirakosian, Simon M Li, Katherine E Kabel, Kiyan Irani, Alexandra H Bettis, Conall O’Cleirigh, Richard T Liu, Qimin Liu

J Med Internet Res 2025;27:e65452

Provider Perspectives on Implementing an Enhanced Digital Screening for Adolescent Depression and Suicidality: Qualitative Study

Provider Perspectives on Implementing an Enhanced Digital Screening for Adolescent Depression and Suicidality: Qualitative Study

Adolescent depression and suicidality are part of a growing public health crisis that has been further exacerbated by the COVID-19 pandemic [1]. In 2022, 19.5% of US adolescents aged 12‐17 years experienced a major depressive episode and 13.4% reported having seriously considered suicide [2]. Pediatric societies recommend that pediatric primary care providers (PCPs) screen adolescents for both depression and suicidality [3-6].

Morgan A Coren, Oliver Lindhiem, Abby R Angus, Emma K Toevs, Ana Radovic

JMIR Form Res 2025;9:e67624

Provider Perspectives on the Use of Mental Health Apps, and the BritePath App in Particular, With Adolescents at Risk for Suicidal Behavior: Qualitative Study

Provider Perspectives on the Use of Mental Health Apps, and the BritePath App in Particular, With Adolescents at Risk for Suicidal Behavior: Qualitative Study

This qualitative study was conducted as part of the Center for Enhancing Treatment and Utilization for Depression and Emergent Suicidality (ETUDES Center), an ALACRITY Center funded by the National Institute of Mental Health (NIMH P50 MH115838), aimed at helping providers better support youth experiencing severe depression, suicidality, or both.

Frances Lynch, Julie Cavese, Lucy Fulton, Nancy Vuckovic, David Brent

JMIR Hum Factors 2025;12:e64867

An Explainable Artificial Intelligence Text Classifier for Suicidality Prediction in Youth Crisis Text Line Users: Development and Validation Study

An Explainable Artificial Intelligence Text Classifier for Suicidality Prediction in Youth Crisis Text Line Users: Development and Validation Study

Recent research has highlighted ML techniques, particularly foundational language models, in comprehensive suicidality prediction [38,39] and extraction of relevant textual indicators [40,41]. Transformer-based models outperform traditional ML approaches in suicide prediction using textual data, especially in social media datasets [38,42-45], though their real-world clinical applicability has remained unexplored. The clinical implementation of ML models requires rigorous validation [46].

Julia Thomas, Antonia Lucht, Jacob Segler, Richard Wundrack, Marcel Miché, Roselind Lieb, Lars Kuchinke, Gunther Meinlschmidt

JMIR Public Health Surveill 2025;11:e63809

Frontal Pole Neuromodulation for Impulsivity and Suicidality in Veterans With Mild Traumatic Brain Injury and Common Co-Occurring Mental Health Conditions: Protocol for a Pilot Randomized Controlled Trial

Frontal Pole Neuromodulation for Impulsivity and Suicidality in Veterans With Mild Traumatic Brain Injury and Common Co-Occurring Mental Health Conditions: Protocol for a Pilot Randomized Controlled Trial

Encouraging meta-analyses suggest that TMS may also effectively treat suicidality [71,72]. For example, a randomized controlled trial (RCT) reported a 44% decrease in individuals experiencing “thoughts of suicide” after high-dose left-sided DLPFC TMS treatment [73]. In addition, a study of pooled sham-controlled trials reported that bilateral TMS is associated with a decline in SI [74].

Alyssa Bernanke, Rebecca Hasley, Niki Sabetfakhri, Harriet de Wit, Bridget M Smith, Lei Wang, Lisa A Brenner, Colleen Hanlon, Noah S Philip, Olusola Ajilore, Amy Herrold, Alexandra Aaronson

JMIR Res Protoc 2024;13:e58206

Suicidal Ideation and Attempts Among Youth With Physical-Mental Comorbidity in Canada: Proposal for an Epidemiological Study

Suicidal Ideation and Attempts Among Youth With Physical-Mental Comorbidity in Canada: Proposal for an Epidemiological Study

Addressing knowledge gaps regarding the burden of suicidality among youth with CPI-MIND comorbidity and determinants and outcomes associated with suicidality, as well as use of psychiatric services, is desperately needed to inform the provision of timely and appropriate health services to reduce the incidence of suicidality in this vulnerable group. To do this, we need robust contemporary epidemiological data on a representative sample of youth.

Mark A Ferro, Christy K Y Chan, Dillon T Browne, Ian Colman, Joel A Dubin, Laura Duncan

JMIR Res Protoc 2024;13:e57103

Machine Learning–Based Prediction of Suicidality in Adolescents With Allergic Rhinitis: Derivation and Validation in 2 Independent Nationwide Cohorts

Machine Learning–Based Prediction of Suicidality in Adolescents With Allergic Rhinitis: Derivation and Validation in 2 Independent Nationwide Cohorts

This study aimed to develop an ML model to predict suicidality in Korean adolescents aged 13 to 18 years using clinical features extracted from 2 large independent data sets: the Korea Youth Risk Behavior Web-based Survey (KYRBS) and the Korea National Health and Nutrition Examination Survey (KNHANES) [19,20]. Figure 1 shows the workflow diagrams of the KYRBS and KNHANES data sets, which both offer nationally representative samples and estimates of the total adolescent population in South Korea.

Hojae Lee, Joong Ki Cho, Jaeyu Park, Hyeri Lee, Guillaume Fond, Laurent Boyer, Hyeon Jin Kim, Seoyoung Park, Wonyoung Cho, Hayeon Lee, Jinseok Lee, Dong Keon Yon

J Med Internet Res 2024;26:e51473

A Clinical Model for the Differentiation of Suicidality: Protocol for a Usability Study of the Proposed Model

A Clinical Model for the Differentiation of Suicidality: Protocol for a Usability Study of the Proposed Model

Thoughts of death or suicide, planning or preparing suicide, attempting suicide, and completing suicide are defined as suicidality [1]. Although suicidal thoughts, plans, and attempts are common, completed suicide is rare. Suicidality is a symptom often found in patients experiencing mental disorder [2].

Remco FP de Winter, Connie M Meijer, John H Enterman, Nienke Kool-Goudzwaard, Manuela Gemen, Anne T van den Bos, Danielle Steentjes, Gabrielle E van Son, Mirjam C Hazewinkel, Derek P de Beurs, Marieke H de Groot

JMIR Res Protoc 2023;12:e45438