Dataset Information

Brooding, Inattention, and Impulsivity as Predictors of Adolescent Suicidal Ideation.

ABSTRACT: Although suicide remains a leading cause of death for adolescents, risk factors beyond diagnoses and suicide attempt history remain unclear. We examined whether cognitive style and temperament impact risk for an early, yet still clinically relevant and distressing, form of suicidality: active suicidal ideation. We used binary logistic regression to test whether brooding, inattention, and impulsivity predicted significantly increased risk for suicidal ideation in a sample of 134 twins, 46 of whom endorsed active suicidal ideation (i.e., probands), as well as probands' cotwins and matched controls. When comparing probands with controls and controlling for depression diagnoses, brooding (B?=?0.73, Odds Ratio [OR]?=?2.07, p?=?0.021), inattention (B?=?1.09, OR?=?2.98, p?

SUBMITTER: Sarkisian KL

PROVIDER: S-EPMC6265119 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Brooding, Inattention, and Impulsivity as Predictors of Adolescent Suicidal Ideation.

Sarkisian Katherine L KL Van Hulle Carol A CA Hill Goldsmith H H

Journal of abnormal child psychology 20190201 2

Although suicide remains a leading cause of death for adolescents, risk factors beyond diagnoses and suicide attempt history remain unclear. We examined whether cognitive style and temperament impact risk for an early, yet still clinically relevant and distressing, form of suicidality: active suicidal ideation. We used binary logistic regression to test whether brooding, inattention, and impulsivity predicted significantly increased risk for suicidal ideation in a sample of 134 twins, 46 of whom ...[more]

PMID: 29808397

Similar Datasets

Project description:During the immediate period following psychiatric hospitalization, adolescents are at increased risk for suicide attempts and rehospitalization. Because most adolescents return to school during this time, school-related experiences are important considerations during the transition from inpatient hospitalization. This study sought to understand how adolescent perceptions of school may change following hospitalization, and how these changes may predict recovery from a suicide-related crisis. Participants included 155 adolescents (Mage = 15.2 years; 68.6% female, 65.4% White; 14.7% Hispanic/Latinx; grades 7-12) hospitalized for a suicide-related crisis assessed 3 weeks and 6 months following discharge. Results from Latent Change Score models indicated a worsening of perceptions of teacher relationships (mean change (Δ) = 1.52), connectedness to learning (Δ = 1.55), parent involvement (Δ = 1.82), and academic satisfaction (Δ = 1.34), as well as higher frequency of perceived bullying victimization (Δ = 0.71) following hospitalization. Poorer perceptions of teacher relationships and higher frequency of perceived bullying victimization during hospitalization (β = 0.31 and 0.34), as well as worsening changes of teacher relationships and increased frequency of perceived bullying victimization following hospitalization (β = 0.48 and 0.41) were associated with higher levels of suicidal ideation severity 3 weeks following discharge. Poorer and worsening perceptions of teacher relationships were associated with higher levels of suicidal ideation intensity at 3 weeks (β = 0.37 and 0.54). Poorer perceptions of connectedness to learning during hospitalization emerged as a significant predictor of higher levels of suicidal ideation intensity 6 months following hospitalization (β = 0.20). Results reinforce the importance of fostering positive adult relationships and preventing bullying both prior to and immediately following psychiatric hospitalization. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Project description:Importance:Suicidal ideation and suicide attempt (suicidality) are common in adolescence and a public health concern. Childhood depression is a key risk factor for later suicidality and often co-occurs with irritability. No study to date has examined the joint association of depressive mood and irritability during childhood with later suicidality. Objective:To investigate the association of childhood irritability and depressive/anxious mood profiles with adolescent suicidality. Design, Setting, and Participants:This population-based cohort study included 1430 participants in the Québec Longitudinal Study of Child Development. Participants underwent assessment yearly or bi-yearly (5 months to 17 years). Data were collected from March 16, 1998, through July 17, 2015. Exposures:Profiles defined by the joint developmental trajectories of irritability and depressive/anxious mood at 6 to 12 years of age. Main Outcomes and Measures:Self-reported past-year suicidality (ie, serious suicidal ideation or suicide attempt) at 13, 15, and 17 years of age. Irritability and depressive/anxious mood were assessed using teacher report 5 times from 6 to 12 years of age. Results:The study included 1430 participants (676 boys [47.3%] and 754 girls [52.7%]) followed up to 17 years of age. Group-based multitrajectory modeling identified the following profiles: combined no irritability and low depressive/anxious mood with low irritability and low depressive/anxious mood (831 [58.1%]; reference group), moderate irritability and low depressive/anxious mood (353 [24.7%]), high depressive/anxious mood only (94 [6.6%]), and high irritability and depressive/anxious mood (152 [10.6%]). Children with high irritability and high depressive/anxious mood reported higher rates of suicidality (25 of 152 [16.4%]) compared with the group with the lowest symptom levels (91 of 831 [11.0%]). In logistic regression analyses, the high irritability and depressive/anxious mood profile (odds ratio [OR], 2.22; 95% CI, 1.32-3.74; number needed to be exposed [NNE], 18) was associated with suicidality. To a lesser extent, the moderate irritability and low depressive/anxious mood profile was also associated with suicidality (OR, 1.51; 95% CI, 1.02-2.25; NNE?=?48). The high depressive/anxious mood only profile was not associated with later suicidality (OR, 0.96; 95% CI, 0.47-1.95; NNE?=?-320). The high irritability and depressive/anxious mood profile was associated with a higher suicidal risk compared with the depressive/anxious mood only profile (OR, 2.28; 95% CI, 1.02-5.15). Girls with the high irritability and high depressive/anxious mood profile had higher risk for suicidality (OR, 3.07; 95% CI, 1.54-6.12; NNE?=?5). Conclusions and Relevance:Children with high irritability and depressive/anxious mood and, to a lesser extent, with moderate irritability only had a higher suicidal risk during adolescence compared with children with low symptom levels. Early manifestation of chronic irritability during childhood, especially when combined with depressive/anxious mood, may be associated with an elevated risk for adolescent suicidality. The putatively causal role of irritability should be investigated.

Project description:AimsProspective studies on the mental health of university students highlighted a major concern. Specifically, young adults in academia are affected by markedly worse mental health status than their peers or adults in other vocations. This situation predisposes to exacerbated disability-adjusted life-years.MethodsWe enroled 1,388 students at the baseline, 557 of whom completed follow-up after 6 months, incorporating their demographic information and self-report questionnaires on depressive, anxiety and obsessive-compulsive symptoms. We applied multiple regression modelling to determine associations - at baseline - between demographic factors and self-reported mental health measures and supervised machine learning algorithms to predict the risk of poorer mental health at follow-up, by leveraging the demographic and clinical information collected at baseline.ResultsApproximately one out of five students reported severe depressive symptoms and/or suicidal ideation. An association of economic worry with depression was evidenced both at baseline (when high-frequency worry odds ratio = 3.11 [1.88-5.15]) and during follow-up. The random forest algorithm exhibited high accuracy in predicting the students who maintained well-being (balanced accuracy = 0.85) or absence of suicidal ideation but low accuracy for those whose symptoms worsened (balanced accuracy = 0.49). The most important features used for prediction were the cognitive and somatic symptoms of depression. However, while the negative predictive value of worsened symptoms after 6 months of enrolment was 0.89, the positive predictive value is basically null.ConclusionsStudents' severe mental health problems reached worrying levels, and demographic factors were poor predictors of mental health outcomes. Further research including people with lived experience will be crucial to better assess students' mental health needs and improve the predictive outcome for those most at risk of worsening symptoms.

Dataset Information

Brooding, Inattention, and Impulsivity as Predictors of Adolescent Suicidal Ideation.

Publications

Brooding, Inattention, and Impulsivity as Predictors of Adolescent Suicidal Ideation.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets