Truth® ads,receptivity, and motivation to use or quit tobacco among college students

Abstract

Objective: Examine receptivity and motivation to use/quit tobacco among college students after viewing Truth ads. Participants: Random sample of 10,000 college students invited to complete online survey February 2016 (8.5% response rate). Methods: Quasi-experimental. Participants (N?=?854) watched four ads and answered survey items for each ad. Results: Students rated ad receptivity and decreased motivation to use tobacco higher for the Catmageddon ad than the others. Regardless of ad, men and current cigarette smokers reported lower receptivity. Younger age was associated with lower motivation to use tobacco for all ads. Tobacco users reported greater motivation to quit with the Catmageddon ad. Conclusions: College students were receptive to the Truth ads, and many indicated lower motivation to use tobacco. Men, older college students, and current cigarette smokers were less receptive to the ads, reinforcing the need to develop tailored campaigns to reach these subgroups.     

Kulturwandel im Geldgeschäft? Potenziale einer ethischen Selbsterneuerung im Banken- und Finanzwesen

Following the financial crisis in 2008 a debate about the social benefit of the financial industry, which operates without considering its real-economic consequences, was initiated. The financial industry responded by offering strategies of cultural change (“Kulturwandel”) which foster a more socially responsible financial practice. At the same time the expansion of “ethical” banks aims to establish a banking business avoiding negative externalities of the banking sector. Following the conceptual assumptions of the sociology of critique we study the collectively shared interpretation of a “good” and legitimate financial practice beyond publicly communicated standards of practice. Against this backdrop we evaluate the potentials of normative self-regulation in banking and finance. Our results show that cultural or ethical change is only partly feasible if it exclusively focuses the motives, values and personalities of the individual subjects but neglects the structural as well as institutional conditions of a “good” financial practice.     

Social-ecological research in urban natural areas: an emergent process for integration

Urban Ecosystems - Understanding the structure and function of urban landscapes requires integrating social and ecological research. Here, we integrate parallel social and ecological assessments of...     

Social Workers’ Knowledge and Attitudes About Evidence-Based Practice: Differences Between Graduate Students,Educators, and Practitioners

Clinical Social Work Journal - The implementation of evidence-based practice (EBP) is increasingly being stressed as a responsibility of social work practitioners and social work educators....     

Lightning Rods in the Local Moral Economy: Debating Unauthorized Migrants' Deservingness in Israel

Localized debates about who unauthorized migrants are and what they do, or do not, deserve unfold in a culturally specific register that is deeply charged with emotion and moral valuation. Structuring such debates are vernacular discursive frames that emerge from, and reflect, a common “local moral economy.” Taking Israel as case study, this article examines six elements of the country's local moral economy – biopolitical logic, historical memory, political emotion, popularized religion, an ideology of “fruitful multiplication,” and hasbara (“public diplomacy”/propaganda) – and explores their impact on public debates about unauthorized and irregular forms of migration. Here, as elsewhere, conventionalized distinctions that frame much migration scholarship – e.g. “economic” vs. “political” migrants, “migrant workers” vs. “refugees,” even the terms “authorized” and “unauthorized” themselves – bear but limited salience. Migration researchers who hope to influence local policy debates must recognize the weight and influence of local moral economies, and the chasms that divide vernacular from conventionalized frames. Achieving this sort of nuanced understanding is, at root, an ethnographic challenge.     

The Significance of Living Together and Importance of Marriage in Same-Sex Couples

Because marriage has been denied to same-sex couples, it is likely that the meaning and significance ascribed to non-marital cohabitation may be unique. Further, it is unclear whether same-sex couples view marriage as important to their relationships, and if they do, why. Using qualitative data from 526 individuals in cohabiting same-sex relationships across 47 states, we explored (1) the meaning and significance of cohabitation and (2) the perceived importance of legal marriage to the relationship. Participants viewed cohabitation as significant, most commonly because it indicates long-term commitment, provides emotional support, makes the couple a family, and allows them to share life together. Marriage was perceived as important to a majority (90%), most commonly because it confers financial and legal benefits, relational legitimacy, and demonstrates the same commitment as different-sex couples. Overall, findings highlight the symbolic significance of cohabitation and importance of access to legal marriage to adults in same-sex relationships.     

Topological Performance Measures as Surrogates for Physical Flow Models for Risk and Vulnerability Analysis for Electric Power Systems

Critical infrastructure systems must be both robust and resilient in order to ensure the functioning of society. To improve the performance of such systems, we often use risk and vulnerability analysis to find and address system weaknesses. A critical component of such analyses is the ability to accurately determine the negative consequences of various types of failures in the system. Numerous mathematical and simulation models exist that can be used to this end. However, there are relatively few studies comparing the implications of using different modeling approaches in the context of comprehensive risk analysis of critical infrastructures. In this article, we suggest a classification of these models, which span from simple topologically‐oriented models to advanced physical‐flow‐based models. Here, we focus on electric power systems and present a study aimed at understanding the tradeoffs between simplicity and fidelity in models used in the context of risk analysis. Specifically, the purpose of this article is to compare performance estimates achieved with a spectrum of approaches typically used for risk and vulnerability analysis of electric power systems and evaluate if more simplified topological measures can be combined using statistical methods to be used as a surrogate for physical flow models. The results of our work provide guidance as to appropriate models or combinations of models to use when analyzing large‐scale critical infrastructure systems, where simulation times quickly become insurmountable when using more advanced models, severely limiting the extent of analyses that can be performed.     

Bayesian sample size determination for phase IIA clinical trials using historical data and semi‐parametric prior's elicitation

The Simon's two‐stage design is the most commonly applied among multi‐stage designs in phase IIA clinical trials. It combines the sample sizes at the two stages in order to minimize either the expected or the maximum sample size. When the uncertainty about pre‐trial beliefs on the expected or desired response rate is high, a Bayesian alternative should be considered since it allows to deal with the entire distribution of the parameter of interest in a more natural way. In this setting, a crucial issue is how to construct a distribution from the available summaries to use as a clinical prior in a Bayesian design. In this work, we explore the Bayesian counterparts of the Simon's two‐stage design based on the predictive version of the single threshold design. This design requires specifying two prior distributions: the analysis prior, which is used to compute the posterior probabilities, and the design prior, which is employed to obtain the prior predictive distribution. While the usual approach is to build beta priors for carrying out a conjugate analysis, we derived both the analysis and the design distributions through linear combinations of B‐splines. The motivating example is the planning of the phase IIA two‐stage trial on anti‐HER2 DNA vaccine in breast cancer, where initial beliefs formed from elicited experts' opinions and historical data showed a high level of uncertainty. In a sample size determination problem, the impact of different priors is evaluated.     

Collecting text messages from college students: Evaluating a novel methodology

Social interaction, particularly in older adolescents, increasingly involves computer‐mediated communication. Although studies of public computer‐mediated communication are increasingly common, studies of private text messaging remain rare. As approaches for obtaining such data evolve with technological advances, developmental scientists need designs in which to use such approaches that reduce sampling biases in both participants and text messages. In this study (n = 854; 46% male; 22% African American, 60% European American), we examined selection biases in the participant sample (i.e., factors associated with actual participation), procedural biases in the participant sample (i.e., factors related to failed data capture due to technological or procedural issues), and selection biases in the sample of text messages (i.e., based on self‐reported reasons for texting). Findings from our study suggest that studying human interaction directly through analysis of text message data is not only feasible, but also may be successfully undertaken with minimal biases regarding sample selection and text message selection among those who are engaged in research and engaged in text messaging outside of the study context. However, biases may occur depending on the type of platform (iPhone vs. Android) used by participants for texting.     

Children’s Disclosure of Sexual Abuse: A Systematic Review of Qualitative Research Exploring Barriers and Facilitators

This study evaluates and synthesizes qualitative evidence addressing factors affecting a child’s decision to disclose an experience of sexual abuse. Childhood sexual abuse is a devastating crime, with long-term negative impacts. Understanding the factors that affect a child’s decision to disclose is vital. Disclosure enables access to support and protection, both therapeutically and legally. A systematic review was conducted focusing on factors affecting a child’s decision to disclose an experience of sexual abuse. Seven studies were identified, quality appraisal undertaken, and meta-ethnography used to synthesize the studies. Six new super-ordinate themes were developed: Fear of what will happen; Others’ reactions: fear of disbelief; Emotions and impact of the abuse; An opportunity to tell; Concern for self and others; and Feelings toward the abuser. Themes indicated the importance of support, structure, and opportunity to facilitate disclosure and should be utilized by agencies to develop practices that facilitate disclosures.