Studying appraisal-driven emotion processes: taking stock and moving to the future

ABSTRACT

Appraisal theories of emotion, and particularly the Component Process Model, have claimed over the past three decades that the different components of the emotion process (action tendencies, physiological reactions, expressions, and feeling experiences) are essentially driven by the results of multi-level cognitive appraisals and that the feeling component constitutes a central integration and representation of these processes. Given the complexity of the proposed architecture of emotion generation, comprehensive experimental tests of these predictions are difficult to perform and thus evidence has been slow to appear. Complementing earlier work on self-reported appraisal, a massive amount of empirical results from studies with experimental designs based on appraisal manipulation, using electroencephalographic and electromyographic measures, now confirms many of the theoretical predictions with respect to the effect of different appraisal checks, their interactions, and their exact timing. A major issue for future research is the nature of the coherence or synchronisation of the appraisal-driven components in the unfolding emotion process. It is suggested that interdisciplinary multi-team research will be needed to face the theoretical and methodological challenges of experimentally investigating the dynamics of the emotion process.     

Development of a Scale to Assess Knowledge about Suicide Postvention using Item Response Theory

Knowledge about suicide postvention (KSPV) is an important distal outcome in the evaluation of suicide prevention programs that focus on the bereaved. However, most scales are specifically tailored to the evaluation study in question and psychometric properties are often unsatisfactory. Therefore, we developed the KSPV scale. Scale properties were investigated with Rasch trees, a newly developed method in the framework of item response theory. Additionally, we provide cues for convergent validity. In summary, the scale shows satisfactory properties for assessing KSPV and could be used to evaluate suicide postvention programs more effectively.     

A Systematic Review of Suicide Prevention Programs for Military or Veterans

Military personnel and veterans have important suicide risk factors. After a systematic review of the literature on suicide prevention, seven (five in the U.S.) studies of military personnel were identified containing interventions that may reduce the risk of suicide. The effectiveness of the individual components was not assessed, and problems in methodology or reporting of data were common. Overall, multifaceted interventions for active duty military personnel are supported by consistent evidence, although of very mixed quality, and in some cases during intervals of declines in suicide rates in the general population. There were insufficient studies of U.S. Veterans to reach conclusions.     

Comparative Analysis of Suicide,Accidental, and Undetermined Cause of Death Classification

Suicide determination is not standardized across medical examiners, and many suspected suicides are later classified as accidental or undetermined. The present study investigated patterns between these three groups using a medical examiner database and 633 structured interviews with next of kin. There were similarities across all three classification groups, including rates of mental illness and psychiatric symptoms. Those classified suicide were more likely to be male, to have died in a violent fashion, and have a stronger family history of suicide. Chronic pain was very common across all three groups, but significantly higher in the accidental and undetermined groups.     

A Machine Learning Approach to Identifying the Thought Markers of Suicidal Subjects: A Prospective Multicenter Trial

Death by suicide demonstrates profound personal suffering and societal failure. While basic sciences provide the opportunity to understand biological markers related to suicide, computer science provides opportunities to understand suicide thought markers. In this novel prospective, multimodal, multicenter, mixed demographic study, we used machine learning to measure and fuse two classes of suicidal thought markers: verbal and nonverbal. Machine learning algorithms were used with the subjects’ words and vocal characteristics to classify 379 subjects recruited from two academic medical centers and a rural community hospital into one of three groups: suicidal, mentally ill but not suicidal, or controls. By combining linguistic and acoustic characteristics, subjects could be classified into one of the three groups with up to 85% accuracy. The results provide insight into how advanced technology can be used for suicide assessment and prevention.     

Basic Psychological Needs,Suicidal Ideation,and Risk for Suicidal Behavior in Young Adults

Associations between the satisfaction of basic psychological needs of autonomy, competence, and relatedness with current suicidal ideation and risk for suicidal behavior were examined. Two logistic regressions were conducted with a cross‐sectional database of 440 university students to examine the association of need satisfaction with suicidal ideation and risk for suicidal behavior, while controlling for demographics and depressive symptoms. Suicidal ideation was reported by 15% of participants and 18% were found to be at risk for suicidal behavior. A one standard deviation increase in need satisfaction reduced the odds of suicidal ideation by 53%, OR (95% CI) = 0.47 (0.33–0.67), and the odds of being at risk for suicidal behavior by 50%, OR (95% CI) = 0.50 (0.37–0.69). Young adults whose basic psychological needs are met may be less likely to consider suicide and engage in suicidal behavior. Prospective research is needed to confirm these associations.     

Characteristics of Telephone Crisis Hotline Callers with Suicidal Ideation in Japan

Hotline callers do not always have suicidal ideation and previous studies have noted that the rate of such callers is limited. Crisis hotline counselors must be able to identify high‐risk callers in order to provide appropriate support. This study investigated the characteristics of Japanese crisis hotline callers in 2012 (N = 541,694) and is the first to analyze crisis hotline data for all parts of Japan over 1 year. About 14% of the callers had suicidal ideation and 6% had a history of attempted suicide. The odds ratio for suicidal ideation among those with a history of attempted suicide was 15.5. The suicidal ideation rate was much smaller compared to previous studies in other countries. There is a psychological barrier that must be broken for high‐risk people to use support hotlines. In addition, attempted suicide is a strong exclusive predisposing factor for death due to suicide; therefore, counselors should pay careful attention to callers with a history of attempted suicide. The characteristics of Japanese crisis hotline callers and the features of suicidal ideation revealed in the present study are expected to be useful in developing telephone crisis hotline strategies.