Sizing Up a Superstorm: Exploring the Role of Recalled Experience and Attribution of Responsibility in Judgments of Future Hurricane Risk.

Research suggests that hurricane-related risk perception is a critical predictor of behavioral response, such as evacuation. Less is known, however, about the precursors of these subjective risk judgments, especially when time has elapsed from a focal event. Drawing broadly from the risk communication, social psychology, and natural hazards literature, and specifically from concepts adapted from the risk information seeking and processing model and the protective action decision model, we examine how individuals' distant recollections, including attribution of responsibility for the effects of a storm, attitude toward relevant information, and past hurricane experience, relate to risk judgment for a future, similar event. The present study reports on a survey involving U.S. residents in Connecticut, New Jersey, and New York (n = 619) impacted by Hurricane Sandy. While some results confirm past findings, such as that hurricane experience increases risk judgment, others suggest additional complexity, such as how various types of experience (e.g., having evacuated vs. having experienced losses) may heighten or attenuate individual-level judgments of responsibility. We suggest avenues for future research, as well as implications for federal agencies involved in severe weather/natural hazard forecasting and communication with public audiences.

Altruism During Ebola: Risk Perception, Issue Salience, Cultural Cognition, and Information Processing.

A nationally representative sample of 1,046 U.S. adults was randomly assigned to two experimental conditions that triggered different degrees of risk perception related to the Ebola outbreak. In the high-risk condition, issue salience and deliberate processing increased individuals' altruistic behavioral intention. In contrast, cultural cognition worldview and negative emotions such as sadness and anger were significantly related to altruistic behavioral intention regardless of the experimental conditions. These findings suggest that affective responses diverge from cognitive processes in influencing risk-related decisions. Practically, as the United States continues to send experts to the affected countries in West Africa, results from this study suggest meaningful pathways to improve risk communication intended to encourage more altruistic and pro-social behaviors.

Message Formats, Numeracy, Risk Perceptions of Alcohol-Attributable Cancer, and Intentions for Binge Drinking Among College Students.

We conducted an experiment to examine whether risk perceptions of alcohol-attributable cancer influence college students' binge-drinking intention and to explore how message formats (text, table, and graph) and numeracy influence risk perceptions of alcohol-attributable cancer. We found that a majority of participants (87%) perceive some risks of alcohol-attributable cancer. Risk messages in tabular and graphic formats are more effective in elevating risk perceptions, but there is no significant difference between these two formats. Numeracy and its interaction with message formats, however, do not predict risk perceptions. We recommend risk messages should be delivered using tabular or graphic formats to enhance risk perceptions. We also advocate the less-is-more principle in presenting risk information.

Predicting young adults' intentions to get the H1N1 vaccine: an integrated model.

Young adults 19 through 24 years of age were among the populations that had the highest frequency of infection from the 2009 H1N1 pandemic. However, over the 2009-2010 flu season, H1N1 vaccine uptake among college students nationwide was around 8%. To explore the social cognitive factors that influenced their intentions to get the H1N1 vaccine, this study compares the predictive power of the theory of planned behavior (TPB), the health belief model (HBM), and an integrated model. The final model shows that several HBM variables influenced behavioral intentions through the TPB variables. The results suggest that even though the TPB seemed a superior model for behavior prediction, the addition of the HBM variables could inform future theory development by offering health-specific constructs that potentially enhance the predictive validity of TPB variables.

Advancing the extended parallel process model through the inclusion of response cost measures.

This study advances the Extended Parallel Process Model through the inclusion of response cost measures, which are drawbacks associated with a proposed response to a health threat. A sample of 502 college students completed a questionnaire on perceptions regarding sexually transmitted infections and condom use after reading information from the Centers for Disease Control and Prevention on the health risks of sexually transmitted infections and the utility of latex condoms in preventing sexually transmitted infection transmission. The questionnaire included standard Extended Parallel Process Model assessments of perceived threat and efficacy, as well as questions pertaining to response costs associated with condom use. Results from hierarchical ordinary least squares regression demonstrated how the addition of response cost measures improved the predictive power of the Extended Parallel Process Model, supporting the inclusion of this variable in the model.

Too scared or too capable? Why do college students stay away from the H1N1 vaccine?

Although college students were among the populations that had the highest frequency of infection for H1N1 influenza, only 8% of them received H1N1 vaccine this past flu season nationwide. During the peak of this pandemic, information about H1N1 vaccine was widely available. However, knowledge test and behavioral data indicated that most college students were not equipped with basic facts about H1N1 and the H1N1 vaccine. To investigate socio-psychological factors that might have deterred this high-risk population from learning about and getting the H1N1 vaccine, this study tested the utility of a risk information seeking model in addressing this health communication problem. Data collected from an online survey of 371 college students showed that respondents seemed to overestimate how much they knew about the vaccine. Risk information seeking, however, positively influenced their intentions to get the vaccine. Results suggested that to communicate effectively to this population, it is important to emphasize the difference between perceived knowledge and actual knowledge, monitor emotional responses to potential risks, and promote getting flu vaccination as a socially desirable behavior.

Comparing decision making between cancer patients and the general population: thoughts, emotions, or social influence?

This study extends a risk information seeking and processing model to explore the relative effect of cognitive processing strategies, positive and negative emotions, and normative beliefs on individuals' decision making about potential health risks. Most previous research based on this theoretical framework has examined environmental risks. Applying this risk communication model to study health decision making presents an opportunity to explore theoretical boundaries of the model, while also bringing this research to bear on a pressing medical issue: low enrollment in clinical trials. Comparative analysis of data gathered from 2 telephone surveys of a representative national sample (n = 500) and a random sample of cancer patients (n = 411) indicated that emotions played a more substantive role in cancer patients' decisions to enroll in a potential trial, whereas cognitive processing strategies and normative beliefs had greater influences on the decisions of respondents from the national sample.

Motivation for health information seeking and processing about clinical trial enrollment.

Low patient accrual in clinical trials poses serious concerns for the advancement of medical science in the United States. Past research has identified health communication as a crucial step in overcoming barriers to enrollment. However, few communication scholars have studied this problem from a sociopsychological perspective to understand what motivates people to look for or pay attention to information about clinical trial enrollment. This study applies the model of Risk Information Seeking and Processing (RISP) to this context of health decision making. By recognizing the uncertainties embedded in clinical trials, we view clinical trial enrollment as a case study of risk. With data from a random-digit-dial telephone survey of 500 adults living in the United States, we used structural equation modeling to test the central part of the RISP model. In particular, we examined the role of optimistic feelings, as a type of positive affect, in motivating information seeking and processing. Our results indicated that rather than exerting an indirect influence on information seeking through motivating a psychological need for more information, optimistic feelings have more direct relationships with information seeking and processing. Similarly, informational subjective norms also exhibit a more direct relationship with information seeking and processing. These results suggest merit in applying the RISP model to study health decision making related to clinical trial enrollment. Our findings also render practical implications on how to improve communication about clinical trial enrollment.