Walid A. Afifi
The turn of the 21st century has seen an explosion of frameworks that account for individuals’ decisions to seek or avoid information related to health risks. The four dominant frameworks are Risk Perception Attitude Framework, the Risk Information Seeking and Process model, the Planned Risk Information Seeking Model, and the Theory of Motivated Information Management. A comparison of the constructs within each and an examination of the related empirical tests reveal important insights into (a) factors that have consistently been shown to shape these decisions across these approaches and (b) constructs in need of additional theorizing and empirical testing. Specifically, the analysis suggests that uncertainty, efficacy, affect, risk perceptions, and subjective norms all play crucial roles in accounting for decisions to seek or avoid risk-related information. However, inconsistencies in the direction of influence for uncertainty or information discrepancy, risk perceptions, and negative affect argue for the need for considerably more theoretical clarity and empirical rigor in investigations of the ways in which these experiences shape decision making in these contexts.
Erin M. Hill
Narcissism is a personality trait characterized by perceptions of grandiosity, superiority, and the need for attention and admiration. There has been an increase in focus on examining the development of narcissism and how the trait influences a range of social and health behaviors. A key feature of narcissism is that it is characterized by high self-esteem with a simultaneously fragile ego that requires continual monitoring and manipulation. Therefore, much of the behaviors narcissists engage in are linked to the drive to maintain perceptions of superiority and grandiosity. In the area of health and well-being, narcissism has been positively correlated with psychological health, a relationship that may be accounted for by self-esteem. However, there has been less research on the relationship between narcissism and physical health and well-being. There is some evidence that narcissism is linked to a variety of physical appearance-oriented health behaviors (i.e., behaviors that could affect body weight or other aspects of physical appearance, including eating and exercise). Narcissism has also been positively linked to risk-taking behaviors, including use of substances, as well as risks that could significantly impact others, including sexual behaviors and risky driving. The relationship between narcissism and health is therefore complex, with some positive correlates (e.g., physical activity), but also various health risk behaviors.
In considering how narcissism might interact with health messages, communicators have to keep in mind that narcissists seem to have some deficits in judgment and decision-making, such as overconfidence and a narrow focus on rewards associated with behaviors. Their behaviors tend to be driven by managing their own ego and by drawing attention and admiration from others to maintain perceptions of superiority and grandiosity. In turn, health communicators may need to rely on creative strategies that tap into these domains of narcissism in order to effectively modify health behaviors among narcissistic individuals. Further research on the influence of narcissism in healthcare seeking and related preventive behaviors would also help to provide a more detailed understanding for how the trait influences health decisions, information that would be useful for both health researchers and practitioners.
Julie E. Volkman
In health and risk communication, evidence is a message feature that can add credibility, realism, and legitimacy to health and risk messages. Evidence is usually defined into two types: statistical or narrative. Statistical evidence employs quantifications of events, places, phenomena, or other facts, while narrative evidence involves stories, anecdotes, cases, or testimonials. While many health and risk messages employ statistical or factual information, narrative evidence holds appeal for health and risk communication for its utility in helping individuals learn their risks and illnesses through stories and personal experiences. In particular, narratives employed as evidence in a health or risk message especially hold value for their ability to communicate experiences and share knowledge, attitudes, beliefs, and ideas about complex health issues, propose behavior change, and assist individuals coping with disease. As a result, the personal experiences shared, whether they are from first-hand knowledge, or recounting another’s experience, can focus attention, enhance comprehension for risks, and recall of health and risk information. Furthermore, readers engage with the story and develop their own emotional responses which may align with the purpose of the health and risk message. Narratives, or stories, can occur in many ways or through various points of view, but the stories that “ring true” to readers often have a sense of temporality, coherence, and fidelity. As a result, formative research and pre-testing of health and risk messages with narratives becomes important to understand individual perceptions related to the health issue and the characters (or points of view). Constructs of perceived similarity, interest, identification, transportation, and engagement are helpful to assess in order to maximize the usefulness and persuasiveness of narratives as evidence within a health and risk message. Additionally, understanding the emotional responses to narratives can also contribute to perceptions of imagery and vividness that can make the narrative appealing to readers. Examining what is a narrative as evidence in health and risk messages, how they are conceptualized and operationalized and used in health and risk messages is needed to understand their effectiveness.
Brenda L. Berkelaar and LaRae Tronstad
How people negotiate the work–life interface remains a popular topic for scholars and the public. Work–life research is a large body of interdisciplinary scholarship that considers how people experience, navigate, and negotiate different roles, commitments, and boundaries within and across life domains—often with the goal of improving individual, organizational, and social well-being and success. Spurred by demographic, social, economic, and technological changes, scholars take difference perspectives on overlapping research areas which include work–life balance, work–life conflict, work–family conflict, boundary management, work–life enrichment or facilitation, as well as positive or negative spillover. Key issues addressed include the implications of framing work–life as a dichotomy, drivers of work–life outcomes, how ideals shape work–life negotiations, how individuals negotiate everyday work–life challenges and opportunities, and the influence of evolving information and communication technologies on the work–life interface. Research from multiple disciplines highlights the demographic, economic, moral, cultural, and national factors that affect work–life practices, processes, policies, tactics, and outcomes. This multidisciplinary perspective provides relevant insights for generative research and resilient practice for individuals, groups, organizations, or societies.
Holley A. Wilkin
When it comes to health and risk, “place” matters. People who live in lower-income neighborhoods are disproportionately affected by obesity and obesity-related diseases like heart disease, hypertension, and diabetes; asthma; cancers; mental health issues; etc., compared to those that live in higher-income communities. Contributing to these disparities are individual-level factors (e.g., education level, health literacy, healthcare access) and neighborhood-level factors such as the socioeconomic characteristics of the neighborhood; crime, violence, and social disorder; the built environment; and the presence or absence of health-enhancing and health-compromising resources. Social determinants of health—for example, social support, social networks, and social capital—may improve or further complicate health outcomes in low-income neighborhoods.
Social support is a type of transaction between two or more people intended to help the recipient in some fashion. For instance, a person can help provide someone who is grieving or dealing with a newly diagnosed health issue by providing emotional support. Informational support may be provided to someone trying to diagnose, manage, and/or treat a health problem. Instrumental support may come in the help of making meals for someone who is ill, running errands for them, or taking them to a doctor’s appointment. Unfortunately, those who may have chronic diseases and require a lot of support or who otherwise do not feel able to provide support may not seek it due to the expectation of reciprocity. Neighborhood features can enable or constrain people from developing social networks that can help provide social support when needed. There are different types of social networks: some can enhance health outcomes, while others may have a more limiting or even a detrimental effect on health. Social capital results in the creation of resources that may or may not improve health outcomes.
Communication infrastructure theory offers an opportunity to create theoretically grounded health interventions that consider the social and neighborhood characteristics that influence health outcomes. The theory states that every neighborhood has a communication infrastructure that consists of a neighborhood storytelling network—which includes elements similar to the social determinants of health—embedded in a communication action context that enables or constrains neighborhood storytelling. People who are more engaged in their neighborhood storytelling networks are in a better position to reduce health disparities—for example, to fight to keep clinics open or to clean up environmental waste. The communication action context features are similar to the neighborhood characteristics that influence health outcomes. Communication infrastructure theory may be useful in interventions to address neighborhood health and risk.
Frank Tutzauer and Thomas Hugh Feeley
A network is a collection of nodes that are somehow connected to each other. Typically, the pattern of ties among nodes is of central interest to scholars in communication and the allied social sciences, with particular salience for health and risk communication. Network analyses of patterns of communication began in the 1940s in work done at the Massachusetts Institute of Technology (MIT) and was popularized in the early 1980s in the communication discipline with the work of Everett Rogers, Larry Kincaid, and others. Networks are measured by using self-report or observational procedures to determine the presence and/or strength among nodes in a given structure. If there is a tie or relation between a pair of nodes, it is said that the two are adjacent to one another or that the two nodes are neighbors, and the neighborhood of a node consists of all nodes adjacent to this first node. Several measures describe networks, including measures of position and measures of the entire network. Positional measures consider the position of any given node in relation to others in the network, and centrality is a popular measure to account for one’s level of influence in a network. Density is an overall network measure of level of activity among network pairs. Finally, network measures allow researchers to compare dependent and independent networks. Network analysis represents one of the more powerful and elegant procedures for measuring small-group, organizational, and international communication patterns among nodes or actors of interest in health and risk communication.
Priscila G. Brust-Renck, Julia Nolte, and Valerie F. Reyna
The complexity of numerical information about health risks and benefits places demands on people that many are not prepared to meet. For example, much information about health is communicated numerically, such as treatment risks and effectiveness, lifestyle benefits, and the chances of side effects from medication. However, many people—especially the old, the poor, and the less educated—have difficulty understanding numerical information that would enable them to make informed health decisions. Some evidence also suggests cultural and gender differences (although their causes have been disputed). The ability to use and understand numbers (i.e., numeracy) plays an important role in how information should be displayed and communicated.
Measuring differences in numeracy provides a standard to guide one’s approach when communicating risk. Several surveys have been developed to allow for a descriptive assessment of basic and analytical mathematical skills in nationally representative samples (e.g., NAEP, NAAL, PISA, PIACC). Other measures assess specific skills, such as perception of numbers (e.g., number line, approximation, dots tasks), individual perception of one’s own ability (i.e., Subjective Numeracy Scale), and arithmetic computation ability (i.e., Objective Numeracy Scales, Abbreviated Numeracy Scale, and Berlin Numeracy Test).
Difficulties associated with low numeracy extend well beyond the inability to understand place value or perform computations. Understanding and remediating low numeracy requires getting below the surface of errors in judgment and decision making to the deeper level of scientific theory. Despite the relevance of numbers in decision making, there is a certain level of disagreement regarding the psychological mechanisms involved in numeracy. Studies show that people have a basic mental representation of numbers in which the discriminability of two magnitudes is a function of their ratio rather than their difference (psychophysical approaches). Numerical reasoning has been identified with quantitative and analytical processes, and such computation is often seen as an accurate and objective way to process information (traditional dual-process approaches as applied to numeracy). However, these approaches do not account for the contradictory evidence that reliance on analysis is not sufficient for many decisions and has been associated with worse performance for some decisions. Studies supporting a more recent dual-process approach—one that accounts for standard and paradoxical effects of numeracy on risk communication—emphasize the role of intuition: this is a kind of advanced thinking that operates on gist representations, which capture qualitative understanding of the meaning of numbers that is relevant in decision making (Fuzzy Trace Theory). According to Fuzzy Trace Theory, people encode both actual numbers (verbatim representations) and qualitative interpretations of their bottom-line meaning (gist representations) but prefer to rely on the qualitative gist representations when possible. Thus, potential difficulties in decision making arising from deficits in numeracy can be resolved through meaningful communication of risk. Creating narratives that emphasize the contextually relevant underlying gist of risk and using methods that convey the meaning behind numeric presentations (e.g., use of appropriate arrays to communicate linear trends, meaningful relations among magnitudes, and inclusion relations among classes) improve understanding and decision making for both numerate and innumerate individuals.
Nutrition Labeling in the United States and the Role of Consumer Processing, Message Structure, and Moderating Conditions
J. Craig Andrews, Scot Burton, and Laurel Aynne Cook
It has been since 1990 that the landmark Nutritional Labeling Education Act (NLEA) was passed in the United States, and since 1969 that the first White House Conference on Food, Nutrition and Health occurred. In the time since these important events, considerable research has been conducted on how U.S. consumers process and use nutritional labeling. An up-to-date review of nutritional labeling research must address key findings on the processing and use of nutrition facts panels (NFPs), restaurant labeling, front-of-pack (FOP) symbols, health and nutrient content claims, new labeling efforts (e.g., for meat products), and claims not regulated by the U.S. Food and Drug Administration (FDA). Message structure mediates the ways in which consumers process nutritional labeling while moderating conditions affect research outcomes associated with labeling efforts.
The most recent policy issues and problems to be considered (e.g., by the FDA) include nutritional labeling as well as identifying opportunities for consumer research in helping to promote healthy lifestyles and reducing obesity in the United States and throughout the world. For example, several unanswered research questions remain regarding how the proposed changes to the NFPs—beef, poultry, and seafood labeling; restaurant chain calorie labeling; alternative FOP formats; and regulated and unregulated health and nutrient content claims—will affect consumers. Researchers have yet to examine not only these different labeling and nutrition information formats, but also how they might interact with one another and the role of key moderating conditions (e.g., one’s motivation, ability opportunity to process nutrition information) in affecting consumer processing and behavior.
May O. Lwin, Jerrald Lau, Andrew Z. H. Yee, and Cyndy Au
Populated by a diverse spread of cultures, Southeast Asia is represented by the Association of Southeast Asian Nations (ASEAN), a regional organization comprising some 622 million people in ten countries. While food and beverage labeling policies differ across ASEAN member states, organizations such as the ASEAN Food and Beverage Alliance (AFBA) have pushed for standardization in the interest of facilitating interregional trade. Set against this backdrop of economic growth, nutrition labeling as a means of influencing consumer choices has become a significant area of focus for health authorities and researchers over the past two decades due to rising chronic disease levels within the region’s increasingly urbanized communities.
Food retail trends facing Southeast Asia challenge the state of existing regulations governing, as well as research on food labeling practices in the region. Two main points stand out. First, legislation has remained disparate among the ASEAN nations despite repeated calls for standardization by academics as well as other relevant bodies, with only Malaysia adopting mandatory regulations on food labeling and nutritional claims. Second, existing nutrition labeling research in ASEAN is sorely lacking. In addition, there is a lack of theoretical and methodological diversity in existing studies, leading to an incomplete understanding of nutritional label use in Asia and a crucial research gap that remains to be filled.
Responding to health messages about environmental risks and risky behaviors requires adjustments to what individuals do: how they organize and perform occupations, and their understanding of what occupations mean—for themselves and others. Encouraging people to make a change means influencing what they want to do, the possibilities open to them, and societal support and demand for healthful ways of life. Bringing an occupational perspective to the design of risk messages will generate new insights into the complexities of everyday occupations, revealing the dynamic territory into which health messages are targeted. Occupation, or everyday doing, is described as the means by which people experience their very nature, become what they have the potential to be, and sustain a sense of belonging in family, community and society. To influence what people do, designers of health messages are encouraged to consider what engages people in occupations and keeps them engaged; the identity and cultural meanings expressed through occupation; the exhilaration of challenge and risk; the satisfactions of competence and flow experiences that keep people engaged in what they are doing; whether or not people are fit and prepared for the occupations they embark on and what happens when they are not; and the pull of habits and routines, which hold existing patterns of occupation in place. Equally, health message designers need to engage with the occupational science literature, which recognizes how people are shaped toward particular occupations and occupational identities by social policy, institutional practices, and media messages. That means questioning the rhetoric that occupations are freely chosen, rather than shaped and patterned by the historical, sociocultural, political, and geographic context. Simultaneously, health message designers need to recognize that individuals incorporate specific occupations and occupational patterns into their lifestyle and sense of self, believing they have a measure of control over what they do while rationalizing failure to make health-supporting changes.