If You Want People to Listen to You,Tell a Story

We hypothesized that (a) when people share a meaningful story, as opposed to when they share information, they make their partner listen well, and (b) that narrative-induced listening is positively associated with speakers’ psychological safety and negatively associated with their social anxiety. In Study 1 (N = 45), we showed that a meaningful story is perceived much more as a narrative and higher in narrative quality than two types of informational-discourses (telling about daily routine and describing buildings). In Study 2 (N = 52), we randomly asked participants to either share a meaningful story or tell about their daily routine. The participants sharing a meaningful story reported that their interlocutor was a better listener, d = 0.61, 95% CI |0.32, 0.92|. In Study 3 (N = 42), we compared the effect of sharing a meaningful story to describing buildings, and replicated the results of Study 2, d = 1.10, 95% CI |0.61, 1.59|. Moreover, we found that the perceived listening, which was induced by the narrative, mediated the manipulation effects on psychological safety, and social anxiety. Thus, we concluded that when speakers share meaningful stories they make their partner listen well and consequently experience higher psychological safety and lower feelings of social anxiety.     

Using a Verbal Analysis of Lady Gaga’s Applause as a Classroom Exercise for Teaching Verbal Behavior

The Analysis of Verbal Behavior - Learning Skinner’s (1957) verbal behavior taxonomy requires extensive study and practice. Thus, novel classroom exercises might serve this goal. The present...     

Pharmacovigilance in Clinical Trials: Current Practice and Challenges

In view of the MENA increasing participation in multinational trials and the increasing number of national/regional trials, this article explores potential areas of pharmacovigilance, requiring reform and provides recommendations for building a robust safety reporting system. Regulatory silence on expedited reporting requirements creates confusion for local sites that are part of multinational trials. Not allowing waiver for serious adverse events that are protocol specified or are study endpoints, along with lack of emphasis on causality as reporting criteria, adds substantial burden of uninformative cases for regulatory review. Despite global focus on Development Safety Update Report, local regulators are not yet insistent on real-time update of a drug’s cumulative safety profile. Issues like reporting requirements for generic trials, pregnancy reporting and lenient timeline for death/life-threatening events need attention. Finally, the need to formulate an all-encompassing local pharmacovigilance guideline, in sync with global practice cannot be overemphasized.     

Poly-victimization and resilience portfolios: Trends in violence research that can enhance the understanding and prevention of elder abuse

ABSTRACT

This literature review assesses the current state of knowledge about elder abuse and mistreatment, focusing on the lack of incorporation of all forms of elder victimization and the benefits of a poly-victimization framework. This review also includes existing knowledge on risk factors and calls for a greater focus on protective factors and a greater inclusion on family and community factors. Future research, prevention, and intervention would benefit from considering the true burden of elder victimization and a greater implementation of strengths-based approaches to programs.     

Clarifying Criminological and Social Psychological Theory: A Second Look at the Relationship between Injustice and General Strain Theory

Research in social psychology and criminology reveals a great deal of overlap when explaining the relationship between injustice and criminal or deviant behavior. The organizational justice literature examines how the major forms of justice (distributive, procedural, and interactional) combine and interact to influence criminal or deviant behaviors in the workplace. While general strain theory (GST) recognizes that injustice is an aspect of strain that fosters criminal coping in multiple contexts, it does not detail the additive and interactive effects that these types of injustice may have on crime. Nevertheless, GST can provide a useful theoretical lens for understanding how injustice facilitates criminal behavior. This article provides an overview of major findings regarding the relationship between injustice and crime according to a GST framework, concluding with a discussion of new directions for future research.     

On shifting ground: First-time parents’ ideal world of paid work and family time

We examined first-time fathers’ and mothers’ perspectives about their ideal world of support in the context of dominant social ideology, ethno-cultural ideals, and the pragmatics of their everyday family, workplace, and socioeconomic circumstances during their first 18 months as parents. Twelve Canadian-born and six Chinese immigrant couples participated in individual in-depth interviews. We conducted a three-part analysis: fathers’ perspectives, mothers’ perspectives, and couples’ perspectives. Fathers focused on fulfilling dual fathering ideals of ‘time with family’ and ‘providing for family’; mothers emphasized fulfilling a mothering ideal of ‘caring for children'. Examining couples’ perspectives revealed a more nuanced understanding of their shared focus on ‘caring for family'. Parents in this study found the current social ideal of the ‘new’ father, who is both financial provider and nurturing co-parent, appealing, yet difficult to achieve. Couples wanted informal (i.e. family and social network) support, along with formal (i.e. workplace and childcare) support to enable them to provide family care and financial stability for their family. Findings contribute to understanding family and paid work experiences and decision-making among couples as new parents. We offer insights into the complexity of intersections among social ideals, personal expectations, family care, and paid work for fathers and mothers.     

Developmental Latent Patterns of Identification as Mostly Heterosexual Versus Lesbian,Gay, or Bisexual

Scant research exists on the development of mostly heterosexual identity, the largest sexual orientation minority subgroup. We used longitudinal latent class analysis to characterize the patterns of identification with lesbian, gay, bisexual (LGB), or mostly heterosexual identities from ages 12 to 23 in 13,859 youth (57% female) in a U.S. national cohort. Three classes emerged: completely heterosexual (88.2%), mostly heterosexual (9.5%), and LGB (2.4%). LGB class youth generally identified with sexual minority identities by ages 12–17. In contrast, mostly heterosexual class youth identified with sexual minority identities gradually, with steady increases in endorsement starting at the age of 14. Developmental implications of these differential patterns are discussed.     

Alcohol use and strenuous physical activity in college students: A longitudinal test of 2 explanatory models of health behavior

Objective: To help clarify the effect of gender on the bidirectional relationship between alcohol use and strenuous physical activity in college students. Participants: Five hundred twenty-four (52% female) college students recruited in August 2008 and 2009 and followed up in April 2009 and April 2011, respectively. Methods: Participants reported their alcohol use and strenuous physical activity on 2 occasions (baseline and follow-up) spaced approximately 1 or 2 years apart. Results: For females, alcohol use quantity at baseline was associated with increased strenuous physical activity at 1- and 2-year follow-ups, and alcohol use frequency at baseline was associated with decreased strenuous physical activity at 2-year follow-up. For males, alcohol use frequency at baseline predicted decreased strenuous physical activity at 1-year follow-up. Conclusions: Gender differences may be explained from an eating disorders perspective such that women use physical activity as a compensatory strategy to combat potential weight gain from calories consumed during alcohol use.     

Living Near to Attractive Nature? A Well-Being Indicator for Ranking Dutch,Danish, and German Functional Urban Areas

While nature is widely acknowledged to contribute to people’s well-being, nature based well-being indicators at city-level appear to be underprovided. This study aims at filling this gap by introducing a novel indicator based on the proximity of city-residents to nature that is of high-amenity. High-amenity nature is operationalized by combining unique systematic data on people’s perceptions of what are the locations of attractive natural areas with data on natural land cover. The proposed indicator departs from the usual assumption of equal well-being from any nature, as it approximates the ‘actual’ subjective quality of nature near people’s homes in a spatially explicit way. Such indicator is used to rank 148 ‘cities’ in the Netherlands, Denmark, and Germany. International comparability of the indicator is enhanced by the use of a definition of cities as functional urban areas (FUAs), which are consistently identified across countries. Results demonstrate that the average ‘nearness’ of FUA populations to high amenity nature varies widely across the observed FUAs. A key finding, that complements insights from existing city-level indicators, is that while populations of FUAs with higher population densities may live relatively far from nature in general, they also live, on average, closer to high-amenity nature than inhabitants of lower density FUAs. Our results may stimulate policy-debates on how to combine urban agglomeration with access to natural amenities in order to account for people’s wellbeing.     

Improving the detection of unusual observations in high‐dimensional settings

Multivariate control charts are used to monitor stochastic processes for changes and unusual observations. Hotelling's T² statistic is calculated for each new observation and an out‐of‐control signal is issued if it goes beyond the control limits. However, this classical approach becomes unreliable as the number of variables p approaches the number of observations n, and impossible when p exceeds n. In this paper, we devise an improvement to the monitoring procedure in high‐dimensional settings. We regularise the covariance matrix to estimate the baseline parameter and incorporate a leave‐one‐out re‐sampling approach to estimate the empirical distribution of future observations. An extensive simulation study demonstrates that the new method outperforms the classical Hotelling T² approach in power, and maintains appropriate false positive rates. We demonstrate the utility of the method using a set of quality control samples collected to monitor a gas chromatography–mass spectrometry apparatus over a period of 67 days.