The Impact of Mother Support and Natural Mentoring on the Depressive Symptoms of Black Youth

Research indicates both natural mentoring and family factors such as parental support are beneficial for the psychological wellbeing of youth. Despite the existing evidence on the benefits of natural mentoring and parental support, there has been little evidence that considers the simultaneous influence of these factors on the depressive symptoms among Black youth. Guided by Keller’s systemic model of mentoring, we investigated the influence of mother support and the characteristics of natural mentoring relationships on depressive symptoms among Black youth. We used nationally representative data of Black youth from the National Longitudinal Study of Adolescent Health (N?=?2344). The findings indicate that both mentor bonding and mother support were significant predictors of depressive symptoms among Black youth. However, mother support was positively associated with depressive symptoms and mentor bonding was negatively associated with depressive symptoms. The findings highlight the importance of natural mentors in the lives of Black youth and suggest they may be useful in alleviating depressive symptoms.

     

Are stepfathers’ education levels associated with the intelligence of their stepsons? A register‐based study of Norwegian half‐brothers

We examined the relationship between the parents’ education levels and the adult intelligence of their children in a population‐based, nationwide sample of Norwegian half‐brothers with different fathers (2,016 pairs of half‐brothers). In a family where the mother has two children with different men, the firstborn child usually lives with the younger child's father during a period of their childhood. This makes it possible to study the non‐genetic effects of paternal education on children's development. Results showed that the education level of the younger half‐brother's father was positively associated with the intelligence score of the older half‐brother. The education level of the older half‐brother's father was not associated with the intelligence score of the younger half‐brother. Firstborn men whose half‐brothers’ fathers had high levels of education had intelligence scores that were 33% (95% confidence interval: 18–47%) of a standard deviation higher than those of firstborn men whose half‐brothers’ fathers had low levels of education, after adjustment for the biological fathers’ education levels, mothers’ education levels, and other background factors. These findings are compatible with the hypothesis that a child's family environment exerts an effect on the cognitive abilities of the child that lasts into adulthood.     

Connecting DSM-5 Personality Traits and Pathological Beliefs: Toward a Unifying Model

Dissatisfaction with the DSM-IV model of personality disorders has led to the development of alternative conceptualizations, including pathological trait models and models linked to particular theoretical approaches, such as Beck and Freeman’s (1990) cognitive framework. An important issue involves the potential to interweave such models into a single, parsimonious system that combines their distinct advantages. In this study, pathological trait and dysfunctional belief data from 616 individuals in a non-clinical sample were evaluated for commensurability using structural equation modeling. These models can be integrated via five higher-order factors, and that specific dimensions of dysfunctional beliefs can be differentiated based on features of the DSM-5 trait model. Overall, these results suggest that traits provide scaffolding for individual differences in pathological personality, within which dysfunctional beliefs offer specific vectors for clinical intervention in a cognitive framework. Implications of the empirical commensurability of trait and cognitive models are discussed.     

The Art of Dying as an Art of Living: Historical Contemplations on the Paradoxes of Suicide and the Possibilities of Reflexive Suicide Prevention

The main aim of this paper is to reconstruct different aspects of the history of ideas of suicide, from antiquity to late modernity, and contemplate their dialectical tension. Reflexive suicide prevention, drawing on the ancient wisdom that the art of living is inseparable from the art of dying, takes advantage, it is argued, of the contradictory nature of suicide, and hence embraces, rather than trying to overcome, death, pain, grief, fear, hopelessness and milder depressions. This approach might facilitate the transformation of inner shame to inter-personal guilt, which is the precondition for coping with losses through grieving that is shared with others. The traditional projection of suicide on the ‘Other’, reinforced by modernity’s bio-political suppression of death, has inhibited development of good suicide prevention. Awareness of the ambiguity and ambivalence found in suicide may work as a resource when measures are taken to address as many causal mechanisms as possible, and bringing special emphasis to external factors.     

Measuring and testing awareness of emotional face expressions

Comparison of behavioural measures of consciousness has attracted much attention recently. In a recent article, Szczepanowski et al. conclude that confidence ratings (CR) predict accuracy better than both the perceptual awareness scale (PAS) and post-decision wagering (PDW) when using stimuli with emotional content (fearful vs. neutral faces). Although we find the study interesting, we disagree with the conclusion that CR is superior to PAS because of two methodological issues. First, the conclusion is not based on a formal test. We performed this test and found no evidence that CR predicted accuracy better than PAS (p = .4). Second, Szczepanowski et al. used the present version of PAS in a manner somewhat different from how it was originally intended, and the participants may not have been adequately instructed. We end our commentary with a set of recommendations for future studies using PAS.     

Measuring consciousness: task accuracy and awareness as sigmoid functions of stimulus duration

When consciousness is examined using subjective ratings, the extent to which processing is conscious or unconscious is often estimated by calculating task performance at the subjective threshold or by calculating the correlation between accuracy and awareness. However, both these methods have certain limitations. In the present article, we propose describing task accuracy and awareness as functions of stimulus intensity (thus obtaining an accuracy and an awareness curve) as suggested by Koch and Preuschoff (2007). The estimated lag between the curves describes how much stimulus intensity must increase for awareness to change proportionally as much as accuracy and the slopes of the curves are used to assess how fast accuracy and awareness increases and whether awareness is dichotomous. The method is successfully employed to assess consciousness characteristics on data from four different awareness scales.     

Personality in DSM-5: helping delineate personality disorder content and framing the metastructure

The transition from the Diagnostic and Statistical Model of Mental Disorders (4th ed., text revision [DSM-IV-TR]; American Psychiatric Association, 2000 ) to the fifth edition (DSM-5) represents an unprecedented opportunity to integrate dimensional personality trait models into the official nosology. Not surprisingly, a variety of issues have arisen in contemplating this challenging integration. In this article, we address how a dimensional personality trait model could be a helpful component of DSM-5, from the perspective of our roles as work group members and advisors involved in the creation of a trait model and corresponding assessment instrument. We focus in particular on two potential roles for a trait model in DSM-5 that are under official consideration. First, a dimensional personality trait model might be helpful in delineating the content of personality disorders. Second, a trait model might assist in organizing the "metastructure" of DSM-5 (i.e., the arrangement of chapters and other broader classificatory rubrics).     

Understanding Psychopathology: Melding Behavior Genetics, Personality, and Quantitative Psychology to Develop an Empirically Based Model

ABSTRACT— Research on psychopathology is at a historical crossroads. New technologies offer the promise of lasting advances in our understanding of the causes of human psychological suffering. Making the best use of these technologies, however, requires an empirically accurate model of psychopathology. Much current research is framed by the model of psychopathology portrayed in current versions of the Diagnostic and Statistical Manual of Mental Disorders ( DSM ; American Psychiatric Association, 2000 ). Although the modern DSM s have been fundamental in advancing psychopathology research, recent research also challenges some assumptions made in the DSM —for example, the assumption that all forms of psychopathology are well conceived of as discrete categories. Psychological science has a critical role to play in working through the implications of this research and the challenges it presents. In particular, behavior-genetic, personality, and quantitative-psychological research perspectives can be melded to inform the development of an empirically based model of psychopathology that would constitute an evolution of the DSM .