National Suicide Rates a Century after Durkheim: Do We Know Enough to Estimate Error?

Durkheim's nineteenth‐century analysis of national suicide rates dismissed prior concerns about mortality data fidelity. Over the intervening century, however, evidence documenting various types of error in suicide data has only mounted, and surprising levels of such error continue to be routinely uncovered. Yet the annual suicide rate remains the most widely used population‐level suicide metric today. After reviewing the unique sources of bias incurred during stages of suicide data collection and concatenation, we propose a model designed to uniformly estimate error in future studies. A standardized method of error estimation uniformly applied to mortality data could produce data capable of promoting high quality analyses of cross‐national research questions.     

The Self‐Directed Violence Classification System and the Columbia Classification Algorithm for Suicide Assessment: A Crosswalk

The lack of a standardized nomenclature for suicide‐related thoughts and behaviors prompted the Centers for Disease Control and Prevention, with the Veterans Integrated Service Network 19 Mental Illness Research Education and Clinical Center, to create the Self‐Directed Violence Classification System (SDVCS). SDVCS has been adopted by the Department of Veterans Affairs and the Department of Defense. Another classification system, the Columbia Classification Algorithm for Suicide Assessment, has been recommended by the Food and Drug Administration. To facilitate the use of both systems, this article provides a “crosswalk” between the two classification systems.     

Re-Examining the Effect of Top-Down Linguistic Information on Speaker-Voice Discrimination

The current study replicated and extended the results from a study conducted by Narayan, Mak, and Bialystok (2017) that found effects of top-down linguistic information on a speaker discrimination task by examining four conditions: rhymes (day-bay), compounds (day-dream), reverse compounds (dream-day), and unrelated words (day-bee). The original study found that participants were more likely to judge two words to be spoken by the same speaker if the words cohered lexically (created lexical compounds such as day-dream) or were phonologically related (rhymes, such as day-bay), but their study contained two limitations: (a) Same- and different-speaker trials were analyzed separately, which obscures effects of response bias, and (b) cross-gender pairs were used in the different-speaker trials, potentially inflating performance. The current study addresses these limitations by including only within-gender trials and by examining sensitivity and bias using signal detection theory. Our results not only provide support of the original study but also provide clear evidence that listeners are biased to judge two words as being produced by the same person when they share either phonological information (rhymes) or lexical-semantic coherence (compounds). Thus, the current study provides an important modified replication of previous research.     

Thoughts of Self‐Harm and Help‐Seeking Behavior among Youth in the Community

The association between thoughts of self‐harm and help‐seeking among youth with symptoms of depression was examined. Data were drawn from the Health Behavior of School‐aged Children Study (n = 15, 686), a nationally representative sample of youth in the United States. Analyses focused on comparing help‐seeking behaviors among youth with and without thoughts of deliberate self‐harm (DSH) when depressed. Depressed youth with thoughts of DSH exhibited different patterns of help‐seeking than those without. Both groups most frequently sought help from friends and parents. However, adolescents with thoughts of DSH were statistically more likely than youth without to seek help from friends (DSH: 69.9%; no DSH: 57.8%; AOR = 1.46), but less likely to seek help from parents (DSH: 53.7%; no DSH: 73.1%; AOR = 0.47). Youth with DSH were more likely to seek help from school officials (AOR = 1.05), health professionals (AOR: 1.83), or a counselor (AOR = 1.93) compared with those without thoughts of DSH who were more likely to seek help from a sibling (AOR: 0.77) or other relatives (AOR: 0.78). Results may help inform programs to improve identification of youth at risk of self‐harm in community and school settings.     

Suicide Risk Assessment and Risk Formulation Part II: Suicide Risk Formulation and the Determination of Levels of Risk

The suicide risk formulation (SRF) is dependent on the data gathered in the suicide risk assessment. The SRF assigns a level of suicide risk that is intended to inform decisions about triage, treatment, management, and preventive interventions. However, there is little published about how to stratify and formulate suicide risk, what are the criteria for assigning levels of risk, and how triage and treatment decisions are correlated with levels of risk. The salient clinical issues that define an SRF are reviewed and modeling is suggested for an SRF that might guide clinical researchers toward the refinement of an SRF process.     

Predicting Suicide Attempts among Treatment‐Seeking Male Alcoholics: An Exploratory Study

Documented risk factors for suicide among alcohol‐dependent patients are sensitive but insufficiently specific to effectively identify individuals who are prone to future suicide attempt. As a first step to assess factors not previously considered, this pilot study involved a group of male alcohol‐dependent patients (N = 175) coming to detoxification to examine the potential utility of adverse childhood experiences (ACE) along with other documented events to discriminate individuals with a history of attempted suicide from their detoxifying peers. Family health history questionnaires were used to evaluate their ACEs. Receiver operating characteristic (ROC) analysis was applied to examine the predictive power of ACEs, alone or in combination with documented risk factors, to lifetime history of attempted suicide. Among our participants, 48 (27.4%) had a history of a suicide attempt and 156 (89.1%) reported at least one out of the nine categories of ACEs. Modeling by ROC analysis, we found that a cutoff of four or more ACEs plus a history of personal violence achieved the best predictive power to a history of any suicide attempt, producing a sensitivity of 0.7, specificity of 0.81, and area under curve of 0.75. A prospective study to replicate and extend our findings is necessary.