Similarity to prototypical heavy drinkers and non-drinkers predicts AUDIT-C and risky drinking in young adults: prospective study

Objective: The aim of the present study was to explore whether constructs within the Prototype Willingness Model (PWM) predicted risky drinking as measured by AUDIT-C, drinking harms and unplanned drunkenness in a sample of UK young adults. Previous studies exploring the PWM often do not use validated measures of alcohol consumption, and the outcomes of risky drinking are underexplored. Design: An online prospective study design with 4 week follow-up was employed and 385 young adults completed the study (M age?=?21.76, SD?=?3.39, 69.6% female; 85.2% students). Main outcome measures: Intentions to get drunk, AUDIT-C, drinking harms experienced in the last 4 weeks, and unplanned drunkenness in the last 4 weeks. Results: Heavy and non-drinker prototype similarity predicted AUDIT-C, drinking harms and unplanned drunkenness when controlling for past behaviour and reasoned action pathway constructs. Intentions and willingness both mediated the relationship between prototype perceptions and AUDIT-C. Conclusion: This study supports the use of the PWM in the prediction of AUDIT-C, drinking harms and unplanned drinking in a UK sample. Prototype perceptions influenced behaviour via both reasoned and reactive cognitions. Targeting similarity to heavy and non-drinker prototypes should be the focus of future interventions in this population.     

Truth and Consequence: Alternative Facts and Discordant Realities

The following is an essay in applied psychoanalysis delivered to the International Association of Relational Psychoanalysis and Psychotherapy in June 2018.* In this essay I attempt to apply what we know about the psychological sequelae of childhood abuse and what we know about the conditions necessary for secure attachment to our current political situation.     

The vocabulary spurt predicts the emergence of backward semantic inhibition in 18‐month‐old toddlers

The current study examines the relationship between 18‐month‐old toddlers’ vocabulary size and their ability to inhibit attention to no‐longer relevant information using the backward semantic inhibition paradigm. When adults switch attention from one semantic category to another, the former and no‐longer‐relevant semantic category becomes inhibited, and subsequent attention to an item that belongs to the inhibited semantic category is impaired. Here we demonstrate that 18‐month‐olds can inhibit attention to no‐longer relevant semantic categories, but only if they have a relatively large vocabulary. These findings suggest that an increased number of items (word knowledge) in the toddler lexical‐semantic system during the “vocabulary spurt” at 18‐months may be an important driving force behind the emergence of a semantic inhibitory mechanism. Possessing more words in the mental lexicon likely results in the formation of inhibitory links between words, which allow toddlers to select and deselect words and concepts more efficiently. Our findings highlight the role of vocabulary growth in the development of inhibitory processes in the emerging lexical‐semantic system.     

Illness perception clusters and relationship quality are associated with diabetes distress in adults with Type 2 diabetes

This report aims to augment what is already known about emotional distress in Type 2 diabetes, by assessing the predictive value of illness perception clusters and relationship quality on four subcategories of Diabetes Distress.162 individuals with Type 2 diabetes responded to a postal questionnaire assessing demographics, depression, diabetes distress, illness perceptions and relationship quality. Long-term blood glucose was retrieved from participants’ General Practitioner. Three illness perception clusters emerged from the data, capturing three subgroups of participants sharing similar illness perception schemas. Regression analyses were performed across each diabetes distress subscale, with demographics, illness perception clusters, and relationship variables entered into three blocks. Covariates explained 51.1% of the variance in emotional burden, 41% of the variance in regimen-related distress, 20% of the variance in interpersonal distress, and 8.6% of the variance in physician-related distress. Cluster membership was strongly associated with emotional burden, regimen-related distress, and to a lesser degree interpersonal distress, but was not associated with physician-related distress. Relationship quality most strongly predicted regimen-related distress. Illness perception schemas and interpersonal issues influence emotional adjustment in diabetes. This study provides direction for the content of a novel approach to identifying and reducing diabetes distress in people with Type 2 diabetes.     

The psychometric properties and utility of the Short Sadistic Impulse Scale (SSIS)

Sadistic personality disorder (SPD) has been underresearched and often misunderstood in forensic settings. Furthermore, personality disorders in general are the subject of much controversy in terms of their classification (i.e., whether they should be categorical or dimensional). The Sadistic Attitudes and Behaviors Scale (SABS; Davies & Hand, 2003; O'Meara, Davies, & Barnes-Holmes, 2004) is a recently developed scale for measuring sadistic inclinations. Derived from this is the Short Sadistic Impulse Scale (SSIS), which has proved to be a strong unidimensional measure of sadistic inclination. Through cumulative scaling, it was investigated whether the SSIS could measure sadism on a continuum of interest, thus providing a dimensional view of the construct. Further, the SSIS was administered along with a number of other measures related to sadism in order to assess the validity of the scale. Results showed that the SSIS has strong construct and discriminant validity and may be useful as a screening measure for sadistic impulse.     

Effects of pre-experimental knowledge on recognition memory

The influence of pre-experimental autobiographical knowledge on recognition memory was investigated using as memoranda faces that were either personally known or unknown to the participant. Under a dual process theory, such knowledge boosted both recollection- and familiarity-based recognition judgements. Under an unequal variance signal detection model, pre-experimental knowledge increased both the variance and the separation of the target and foil memory strength distributions, boosting hits and correct rejections. Thus, pre-experimental knowledge has profound effects on the multiple, interacting processes that subserve recognition memory, and likely in the neural systems that underpin them.     

Samples in applied psychology: over a decade of research in review

This study examines sample characteristics of articles published in Journal of Applied Psychology (JAP) from 1995 to 2008. At the individual level, the overall median sample size over the period examined was approximately 173, which is generally adequate for detecting the average magnitude of effects of primary interest to researchers who publish in JAP. Samples using higher units of analyses (e.g., teams, departments/work units, and organizations) had lower median sample sizes (Mdn ≈ 65), yet were arguably robust given typical multilevel design choices of JAP authors despite the practical constraints of collecting data at higher units of analysis. A substantial proportion of studies used student samples (~40%); surprisingly, median sample sizes for student samples were smaller than working adult samples. Samples were more commonly occupationally homogeneous (~70%) than occupationally heterogeneous. U.S. and English-speaking participants made up the vast majority of samples, whereas Middle Eastern, African, and Latin American samples were largely unrepresented. On the basis of study results, recommendations are provided for authors, editors, and readers, which converge on 3 themes: (a) appropriateness and match between sample characteristics and research questions, (b) careful consideration of statistical power, and (c) the increased popularity of quantitative synthesis. Implications are discussed in terms of theory building, generalizability of research findings, and statistical power to detect effects.