Background: Suicide prevention literature currently suffers from inconsistent measurement and incomplete theoretical development. Aims: Using a recommended suicide measurement approach for epidemiological studies (i.e., the Suicidal Behaviors Questionnaire-Revised; SBQ-R), the present investigation assessed United Kingdom young adult suicide prevalence rates. This study also investigated the utility of a Preferences in Information Processing (PIP) model of suicide in identifying those at increased odds for elevated suicide risk, as well as lifetime ideation and attempt. Method: A cross-sectional mental health and well-being survey study (n=414) was conducted. Results: The prevalence rates of elevated risk (49.8%), lifetime ideation only (55.3%), and lifetime attempt (13.5%) were high. Bivariate associations demonstrated that elevated depression, anxiety, and Need for Affect (NFA) Avoidance were associated with worsened suicide outcomes, whereas elevated Need for Cognition (NFC) was associated with decreased suicide risk. Logistic regression results identified depression and NFA Avoidance as the strongest predictors of elevated suicide risk. Multinomial logistic regression results established several PIP-based moderation effects for depression and anxiety in which NFA Approach and NFC differentially influenced odds of suicide attempt group membership. Conclusions: The SBQ-R is an appropriate tool for UK young adult suicide research. NFA and NFC demonstrated potential for inclusion in young adult suicide prevention programming. Further research is needed to fully evaluate the PIP model of suicide and effectiveness of proposed theory-based approaches to suicide prevention.
Emergency department (ED) utilization has increased due to factors such as admissions for mental health conditions, including suicide and self-harm. We investigate direct and moderating influences on non-emergent ED utilization through the Behavioral Model of Health Services Use. Through logistic regression, we examined correlates of ED use via 2014 New York State Department of Health Statewide Planning and Research Cooperative System outpatient data. Consistent with the primary hypothesis, mental health admissions were associated with emergent use across models, with only a slight decrease in effect size in rural living locations. Concerning moderating effects, Spanish/Hispanic origin was associated with increased likelihood for emergent ED use in the rural living location model, and non-emergent ED use for the no non-emergent source model. ‘Other’ ethnic origin increased the likelihood of emergent ED use for rural living location and no non-emergent source models. The findings reveal ‘need’, including mental health admissions, as the largest driver for ED use. This may be due to mental healthcare access, or patients with mental health emergencies being transported via first responders to the ED, as in the case of suicide, self-harm, manic episodes or psychotic episodes. Further educating ED staff on this patient population through gatekeeper training may ensure patients receive the best treatment and aid in driving access to mental healthcare delivery changes.
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