Epidemiological Measurement of Children's and Adolescents' Exposure to Community Violence: Working with the Current State of the Science

A number of measures have been used in epidemiological studies of children's exposure to community violence, yet the quality of these instruments is not uniformly good. This paper undertakes a systematic review of the most commonly used (or most promising) self-report or interview-administered instruments, with regard to their conceptual bases and psychometric properties. Based on the review, recommendations are made for working with the current state of the science in order to move the field forward. A key recommendation is for sounder conceptualization of work in the field and greater transparency in the reporting of research, in order to facilitate the comparability of studies.     

Societal Risk Perception Among Children, Adolescents, Adults, and Elderly People

This study reported on mean risk magnitude judgments expressed by French participants aged 8 to 75 years, on a set of 91 hazardous activities, substances, and technologies. It then systematically analyzed the effects of the age factor on the judgments. Between elderly people and young and mature adults, few notable differences were detected. The most important result was that a considerable proportion of the children were able to estimate the risk associated with most items of the present study, and that the linear association between children's ratings and adults' ratings was very high. This finding supports the view that the learning of the risk associated with various technologies, common in society, is a fast process, depending probably much more on exposure to media information and family discussions (socialization) than on exposure to everyday reality.     

Avoiding negative vs. achieving positive outcomes in hard and prosperous economic times

Three studies suggest that business cycle fluctuations trigger distinct motivational orientations that selectively affect economic judgment and decision making. Economic contractions induce avoidance motivation and affect negative economic sentiment, but leave approach motivation and positive economic sentiment unaffected. In contrast, economic expansions induce approach motivation and positive economic sentiment, but do not affect avoidance motivation or negative economic sentiment (study 1). Moreover, economic contractions induce risk aversion for negative outcomes, but not for positive outcomes, while economic expansions instigate risk seeking for positive outcomes, but not for negative outcomes (study 2). A time-series study based on consumer spending over eight decades mirrors the findings of the experimental studies: The consumption of products associated with avoiding negative outcomes increases during economic contractions, but not during expansions. In contrast, the consumption of products associated with achieving positive outcomes increases in expansions, but is unaffected by contractions (study 3).     

Stress Overload: A New Approach to the Assessment of Stress

The link between stress and health has not received strong empirical support, possibly due to problems in the stress measures used. Here, the first wholly empirical development of a new “Stress Overload Scale” is described. A pool of 150 items was formed to reflect “overload”, a common denominator in stress theories. Then, the results of five sequenced studies, conducted in heterogeneous community samples, were used to pare the item pool. Exploratory (n = 431) and confirmatory (n = 433) analyses revealed two factors (Event Load and Personal Vulnerability) corresponding to theoretical constructs; only the best factor markers were submitted to further construct validity (n = 310) and reliability tests (n = 342). The 24 strongest items were selected for the SOS, which demonstrated criterion validity in predicting who (n = 285) would become sick following a common stressor. The SOS is (1) psychometrically strong, especially in its validity relative to popular measures; (2) appropriate to community research, due to its brevity and fit to a broad demographic spectrum; (3) unique in its ability to cross‐section individuals into risk categories. It should prove useful to community psychologists in determining etiology, diagnosing risk for pathology, and evaluating the efficacy of interventions.     

On the relationship between implicit and explicit self-esteem: The moderating role of dismissing attachment

Recently, dual models of social cognition have distinguished the implicit (affective) and the explicit (propositional) levels of self-esteem. Many studies have found that implicit and explicit self-esteem are weakly or even not correlated. Concerning the moderating factors of such a relationship, other studies stressed the importance of emotional awareness in the translation of implicit self-evaluations into a propositional format. If so, the defensive strategy which characterizes dismissing attachment should determine a fictitious explicit self-image, by impairing the awareness of self-related emotional experiences. At the implicit level, instead, such defensive processes should not operate. We therefore hypothesized that dismissing attachment would increase the implicit-explicit self-esteem discordance. Participants were 145 university students with a mean age of 20.4 (SD = 2.75). Moderated multiple regression analyses were conducted to test for the interactive effects of the Self-Esteem Implicit Association Test and the Attachment Style Questionnaire scales on the Rosenberg Self-Esteem Scale. Findings revealed an interaction effect only for the relationships as secondary scale, confirming that dismissing style, but not other attachment dimensions, increases implicit-explicit self-esteem discordance.     

Everyday risk taking as a function of regulatory focus

Uncertainty is an inherent aspect of everyday life. However, faced with uncertainty, some individuals take risks more eagerly than others. Regulatory focus theory may explain such differences because risky behavior may arise naturally from the eagerness of promotion focused individuals, while safe behavior may arise naturally from the vigilance of prevention focused individuals. A highly relevant real-life context for studying risk is mobility, as engaging in traffic inherently carries uncertainty about negative outcomes. We present two studies showing a direct link between regulatory focus and risky behavior going beyond traditional laboratory approaches. In both naturalistic speeding behavior (Study 1) and simulated risk taking (Study 2) promotion focus was positively, and prevention focus was negatively related to actual risky behavior.     

Cost-Benefit Analysis Mediation of the Relationship Between Sensation Seeking and Risk Behavior

Risk behavior during adolescence results in substantial morbidity and mortality. Sensation seeking consistently relates to engagement in risk behavior, but the psychological mediators of this relationship remain unclear. The current study demonstrates that adolescents’ judgments of the costs versus benefits of risk behavior were a significant mediator of this relationship. Participants were 406 racially and ethnically diverse adolescents ages 12-17 (M = 14.5, SD = 1.7; 48.3% female) who participated in a larger multi-site investigation of personality and neurocognitive predictors of risk behavior. Data were collected via self-report in a single laboratory session. Mediation of the relationship of sensation seeking to risk behavior was tested using structural equation modeling. Results indicated that higher levels of sensation seeking predicted weighing the benefits of risk behavior higher than its costs, which in turn predicted higher levels of risk behavior. Implications of these findings for understanding mechanisms underlying adolescents’ risk behavior and directions for future research are discussed.     

Fundamental Beliefs,Origin Explanations and Perceived Effectiveness of Protection Measures: Exploring Laypersons' Chains of Reasoning About Influenza

Laypersons' chains of reasoning in explaining recent influenza outbreaks are investigated. Drawing on social representations theory, fundamental worldviews, that is, the belief in a dangerous world (BDW), are postulated to anchor explanations of disease origins, which in turn affect perceived effectiveness of protection measures. Our study, based on a longitudinal survey among the general public in Switzerland, showed that the lower people's BDW scores, the more they appeal to natural origins to explain outbreaks and the more they perceive official protection measures as effective. The higher people's BDW scores, the more they explain outbreaks via hygienic origins, which are linked with out‐group discrimination measures, and conspiracy origins, which are linked with lower perceived effectiveness of aid intervention measures. Copyright © 2013 John Wiley & Sons, Ltd.     

Introducing naturalistic cycling data: What factors influence bicyclists’ safety in the real world?

Presently, the collection and analysis of naturalistic data is the most credited method for understanding road user behavior and improving traffic safety. Such methodology was developed for motorized vehicles, such as cars and trucks, and is still largely applied to those vehicles. However, a reasonable question is whether bicycle safety can also benefit from the naturalistic methodology, once collection and analyses are properly ported from motorized vehicles to bicycles. This paper answers this question by showing that instrumented bicycles can also collect analogous naturalistic data. In addition, this paper shows how naturalistic cycling data from 16 bicyclists can be used to estimate risk while cycling. The results show that cycling near an intersection increased the risk of experiencing a critical event by four times, and by twelve times when the intersection presented some form of visual occlusion (e.g., buildings and hedges). Poor maintenance of the road increased the risk tenfold. Furthermore, the risk of experiencing a critical event was twice as large when at least one pedestrian or another bicyclist crossed the bicyclist’s trajectory. Finally, this study suggests the two most common scenarios for bicycle accidents, which result from different situations and thus require different countermeasures. The findings presented in this paper show that bicycle safety can benefit from the naturalistic methodology, which provides data able to guide development and evaluation of (intelligent) countermeasures to increase cycling safety.