Rocio Garcia-Retamero, Dafina Petrova, Adam Feltz, and Edward T. Cokely
Graphical displays generally facilitate the communication of complex information and are ubiquitous in media. Unfortunately, people differ in their ability to extract data and meaning from graphical representations of quantitative information (i.e., graph literacy). This means that for some people, even well-designed, simple graphs will cause confusion and misunderstanding. Research on the psychology of graph comprehension focuses on two instruments that efficiently assess fundamental graph literacy among diverse adults. The Objective Graph literacy scale is a well-established instrument with good psychometric properties that measures skill via cognitive performance testing (e.g., interpreting and evaluating various graphs). The recently developed Subjective Graph Literacy scale is a brief self-report of graph literacy that can outperform the objective test in notable ways, while reducing text anxiety. Emerging applications in clinical research and practice, including computerized decision aids, can personalize content as a function of one’s graph literacy.
Yvonnes Chen and Joseph Erba
Media literacy describes the ability to access, analyze, evaluate, and produce media messages. As media messages can influence audiences’ attitudes and behaviors toward various topics, such as attitudes toward others and risky behaviors, media literacy can counter potential negative media effects, a crucial task in today’s oversaturated media environment. Media literacy in the context of health promotion is addressed by analyzing the characteristics of 54 media literacy programs conducted in the United States and abroad that have successfully influenced audiences’ attitudes and behaviors toward six health topics: prevention of alcohol use, prevention of tobacco use, eating disorders and body image, sex education, nutrition education, and violent behavior. Because media literacy can change how audiences perceive the media industry and critique media messages, it could also reduce the potential harmful effects media can have on audiences’ health decision-making process.
The majority of the interventions have focused on youth, likely because children’s and adolescents’ lack of cognitive sophistication may make them more vulnerable to potentially harmful media effects. The design of these health-related media literacy programs varied. Many studies’ interventions consisted of a one-course lesson, while others were multi-month, multi-lesson interventions. The majority of these programs’ content was developed and administered by a team of researchers affiliated with local universities and schools, and was focused on three main areas: reduction of media consumption, media analysis and evaluations, and media production and activism. Media literacy study designs almost always included a control group that did not take part in the intervention to confirm that potential changes in health and risk attitudes and behaviors among participants could be attributed to the intervention. Most programs were also designed to include at least one pre-intervention test and one post-intervention test, with the latter usually administered immediately following the intervention. Demographic variables, such as gender, age or grade level, and prior behavior pertaining to the health topic under study, were found to affect participants’ responses to media literacy interventions.
In these 54 studies, a number of key media literacy components were clearly absent from the field. First, adults—especially those from historically underserved communities—were noticeably missing from these interventions. Second, media literacy interventions were often designed with a top-down approach, with little to no involvement from or collaboration with members of the target population. Third, the creation of counter media messages tailored to individuals’ needs and circumstances was rarely the focus of these interventions. Finally, these studies paid little attention to evaluating the development, process, and outcomes of media literacy interventions with participants’ sociodemographic characteristics in mind. Based on these findings, it is recommended that health-related media literacy programs fully engage community members at all steps, including in the critical analysis of current media messages and the production and dissemination of counter media messages. Health-related media literacy programs should also impart participants and community members with tools to advocate for their own causes and health behaviors.
Soyoon Kim and Brian G. Southwell
Typical discussion about the success of mediated health communication campaigns focuses on the direct and indirect links between remembered campaign exposure and outcomes; yet, what constitutes information exposure and how it is remembered remain unclearly defined in much health communication research. This problem mainly stems from the complexity of understanding the concept of memory. Prolific discussions about memory have occurred in cognitive psychology in recent decades, particularly owing to advances in neuroimaging technologies. The evolution of memory research—from unitary or dichotomous perspectives to multisystem perspectives—has produced substantial implications for the topics and methods of studying memory. Among the various conceptualizations and types of memory studied, what has been of particular interest to health-communication researchers and practitioners is the notion of “encoded exposure.” Encoded exposure is a form of memory at least retrievable by a potential audience member through a conscious effort to recollect his or her past engagement with any particular unit of campaign content. While other aspects of memory (e.g., non-declarative or implicit memory) are certainly important for communication research, the encoded exposure assessed under a retrieval condition offers a critical point at which to establish the exposure-outcome link for the purpose of campaign design and evaluation. The typical methods to assess encoded exposure include recall and recognition tasks, which can be exercised in various ways depending on retrieval cues provided by a researcher to assess different types and levels of cognitive engagement with exposed information. Given that encoded exposure theoretically relies on minimal memory trace, communication scholars have suggested that recognition-based tasks are more appropriate and efficient indicators of encoded exposure compared to recall-based tasks that require a relatively high degree of current-information salience and accessibility. Understanding the complex nature of memory also has direct implications for the prediction of memory as one of the initial stages of communication effects. Some prominent message-level characteristics (e.g., variability in the structural and content features of a health message) or message recipient-level characteristics (e.g., individual differences in cognitive abilities) might be more or less predictive of different memory systems or information-processing mechanisms. In addition, the environments (e.g., bodily and social contexts) in which people are exposed to and interact with campaign messages affect individual memory. While the effort has already begun, directions for future memory research in health communication call for more attention to sharpening the concept of memory and understanding memory as a unique or combined function of multilevel factors.
Mental models of health risks are the causal beliefs that comprise one’s inference engines for the interpretation and prediction of health and illness experiences and messages. Mental models of health risks can be parsed into a handful of common elements, including beliefs about causes, consequences, and cures as well as identifying information such as symptoms and timing. Mental models research deriving from a risk and decision analysis framework emphasizes exposure sources and pathways as part of causal thinking as well as how interventions may reduce or increase the risk. Mental models can be developed as a function of one’s goals or the problem in a specific context, rather than as coherent, stable knowledge structures in long-term memory. For this reason they can be piecemeal and inconsistent in the absence of expertise or experience with the risk. Derived often by analogy with more familiar risks, mental models of health risks can lead to effective health behaviors but also to costly inaction or misplaced action. Assessing mental models of hazardous processes can contribute to the design of effective risk communications by identifying the concrete information message recipients need to cope with health risks, thereby making or strengthening common-sense links between risk and action representations. Although a wide variety of research methods are used to investigate mental models, achieving this level of specificity requires attention to substantive details. Researchers are beginning to better understand the interactions between mental models of risk and their social, cultural, and physical contexts, but much remains to explore.
Kathryn E. Anthony, Timothy L. Sellnow, Steven J. Venette, and Sean P. Fourney
Much current scholarship in the realm of information processing and decision making, particularly in the context of health risks, is derived from the logical-empiricist paradigm, involving a strong focus on cognition, routes of psychological processing of messages, and message heuristics. The message convergence framework (MCF), derived heavily from the writings of Perelman and Olbrechts-Tyteca, contributes to this body of literature by emphasizing the fact that people make decisions on health risks while being exposed to arguments from multiple sources on the same topic. The MCF offers an explanation for how people reconcile myriad messages to arrive at decisions. MCF differs from other theories of message processing because of its distinct and unique focus on arguments, messages, and the ways various arguments interact to create “convergence” in individuals’ minds. The MCF focuses on the ways that multiple messages converge to create meaning and influence in the minds of listeners. Convergence occurs when messages from multiple sources overlap in ways recognized by observers, creating perceptions of credibility and influencing their risk decisions. Perelman and Olbrechts-Tyteca explain that convergence occurs when “several distinct arguments lead to a single conclusion.” Individuals assess the strengths and weaknesses of the claims, and according to the scholars, the “strength” of the arguments “is almost always recognized.” Three key propositions focusing on message convergence articulate that audiences recognize message convergence, that they actively seek convergence in matters of concern, such as health risk, and that this convergence is potentially fleeting as new messages are introduced to the discussion.
Conversely, Perelman and Olbrechts-Tyteca also discuss message divergence, and the rationale for wanting to intentionally create divergence among interacting arguments. Divergence is particularly appropriate in the realm of health and risk messages when scholars must challenge potentially harmful beliefs or correct misinformation. Some strategies for invoking divergence in include: dissociation, in which the speaker attempts to reframe the argument to create novel understandings; identification of the stock, hackneyed, and obsolete, where the speaker attempts to make existing claims appear commonplace or obsolete to the listener; refutation of fallacies, where the speaker points out the fallacious reasoning of the opponent; clash of interpretation, where the speaker publicly articulates that individuals have understood the convergence to mean different things; weakening through reaction, which involves the speaker’s attempting to incite a reactionary approach by the opponent; and finally, highlighting the consequence of invalid convergence, where the speaker describes the negative outcomes that may occur from following a false convergence based on incorrect information.
For message design, environmental scanning enables scholars and practitioners to assess the messages in a particular health-risk context. This assessment can assist practitioners in emphasizing or building convergence among reputable sources and in introducing divergence in cases where misunderstanding or a lack of evidence has contributed to an unproductive perception of convergence. Ultimately, the MCF can assist practitioners in scanning their health-risk environments for opportunities to establish or bolster convergence based on credible evidence and for introducing divergence to challenge inaccurate or misleading interpretations and evidence.
Daniel J. O'Keefe
Many health-related message variations have been described as variations in the framing of the message. What different applications of the term message framing have in common is that, in each case, something gets described in different ways (with researchers having a special interest in the consequences of these different descriptions). But what that “thing” is and how the descriptions of it differ vary across different uses of the term framing. In research on health-related messages, at least three different variations have been described using “framing” as a label.
One concerns variation in consequence-based arguments in persuasive messages. In this kind of framing, what varies is the description of the antecedent or consequent in arguments designed to persuade people to adopt some course of action. For example, the antecedent in an argument designed to encourage sunscreen use might be expressed as “if you wear sunscreen” or “if you don’t wear sunscreen,” and the consequent of such arguments might emphasize sunburns or skin cancer. A second concerns variation in the description of some news event, public policy issue, or health subject. For example, news media might describe obesity as controllable or as something over which one has limited control. A third concerns variation in the description of an attribute of a course of action. For example, a surgical procedure might be described as having a “90% success rate” or a “10% failure rate.”
Nichole Egbert and Foluke Omosun
Self-efficacy is the personal belief in one’s ability to meet a goal or perform a specific task. Although it can be applied to any type of human endeavor, the construct of self-efficacy is thought to be central to changing behaviors to improve health outcomes. For this reason, message designers have been attempting to understand how messages detract from or enhance self-efficacy. Persuasive messages have and can be used to enhance perceived self-efficacy related to health and risk behavior. Self-efficacy-strengthening messages and interventions in health promotion can be assessed in general or specfically in regards to fear appeals. Other aspects of self-efficacy interventions include collective efficacy and professional self-efficacy.
Message Recipient Psychological Characteristics: Incurious and Curious Motives to Learn about Health Risks
Successfully conveying information about the risk of potential threats to an individual’s physical and mental health is a serious challenge for healthcare practitioners. Adding to the challenge is the role of individual differences in people’s tendencies to want to learn (or in their choice to passively avoid) new information. These characteristic motives can be both curious and incurious in nature and interact with the perceived locus of the relevant health threat, which must be taken into account first. Some health threats are relatively “external,” and involve addressing the potential risk of an undesired event (e.g., developing illness, encountering relationship troubles). Research indicates that individuals who view external threats as “controllable” are more likely to respond positively to relevant information, but perception of control alone does not determine whether health-relevant information is likely to be sought or acted on. Besides perceived controllability, individual differences in incurious worry reduction motives (IWRM) play an important role as well. Two different kinds of IWRM have been identified: focus on distress (IWRM-FD) and focus on relief (IWRM-FR). Dispositional tendencies toward IWRM-FD are associated with greater willingness to seek out information when risk is perceived as low (i.e., information about the potential external threat is expected to make one feel better), but a tendency to passively avoid any information when risk is considered high (i.e., information is expected to intensify distress). In contrast, tendencies toward IWRM-FR reflect wanting more information about potential threats when risk is believed to be high, while passively avoiding news when perceived risk is low. In regard to coping with perceived risk, IWRM-FD scores predict avoidant coping, whereas IWRM-FR levels are associated with proactive coping and seeking others’ advice.
Other risks are more “internal,” and involve threats to an individual’s certainty about his or her self-concept, purpose in life, or the wisdom of past behavior; in short, an “identity crisis.” Such threats underlie wondering things like “Who am I, really?” and are associated with less self-awareness, lower self-esteem, and greater overall distress. In response to internal threats, intrapersonal curiosity (InC) motivates individuals to engage in introspective self-exploration that may help them to clarify, to elaborate on, and to improve their understanding of their self-concept. Recent research has found that individual differences in InC are positively associated with IWRM, suggesting that dealing with identity crises involves the desire to better know oneself, as well as wishing to mitigate worries about experiencing self-doubt.
Bearing the above in mind, research on individual differences in tendencies to avail oneself of different coping strategies indicates that proactive coping (e.g., positive reframing, seeking advice) tends to result in beneficial outcomes, such as personal growth and improved health, but some proactive strategies are “double-edged” and may lead to some negative outcomes as well. In particular, proactive strategies like acceptance of one’s limitations or discussing them with others when seeking social support were helpful, but they also had the potential to leave individuals feeling less sure of themselves. These findings suggest that practitioners who wish to more effectively communicate information about risk of potential health threats should consider whether the nature of the threat is internal or external, the role of individual differences in IWRM and InC, and how to help their patients to focus on the positive benefits of acceptance (i.e., identify solvable problems) and seeking social support (i.e., acquiring useful advice) over the negative aspects (i.e., admitting limitations).
Message sensation value (MSV) is defined as the degree to which a message’s format and content features elicit sensory, affective, and arousal responses. MSV research has received considerable scholarly and professional attention for more than two decades. The seminal work, to date, has been conducted by the Kentucky School. MSV was initially operationalized as perceived message sensation value (PMSV). The activation model of information exposure (AMIE) provides the basis for explaining the functional mechanism of MSV and PMSV. The AMIE proposes that exposure is a function of the interaction between an individual’s sensation-seeking tendency and sensation-enhancing attributes of the message itself.
There are three primary types of message features that contribute to MSV: (a) the formal video dimension, (b) the formal audio dimension, and (c) the content dimension. There is an important distinction between subjective reactions to the message (PMSV) and the format and content features contributing to these reactions (MSV).
In general, messages of high relative to low in sensation value have elicited greater message processing and more favorable evaluations across a range of outcome variables in health communication. Some health communication campaigns have employed high sensation value messages to target high sensation seekers. This sensation-seeking targeting approach, SENTAR, however, has received mixed and limited support. The influence of MSV on message effectiveness might be very similar for the two groups. Recently, some scholars have attempted to situate AMIE in a broader context of persuasion. First, AMIE and the elaboration likelihood model (ELM) offer competing predictions in terms of the role of MSV in persuasion, such that AMIE stresses a straightforward attention-getting effect, whereas ELM predicts a distracting effect of MSV interfering with message’s content. The very few studies conducted thus far reveal limited and mixed findings. Second, in the integration of MSV research with the appraisal theory and excitation-transfer theory, MSV may function as an arousal generator to amplify the influence of discrete emotions on perceived message effectiveness. Third, according to the psychological reactance theory, there are challenges with implementing high sensation value (HSV) messages, in that they potentially could backfire among the target audiences. Messages with HSV may garner better-perceived effectiveness when they tone down the controlling language.
Future studies should investigate the relationships between specific MSV-enhancing features and message processing. They can expand the literature by studying the impact of MSV in a variety of media message contexts (e.g., broadcast journalism). Future experiments might also incorporate psychophysiological measures (e.g., skin response and heart-rate deceleration) to complement self-reported measures. Future studies should continue to explore other features (e.g., visual-verbal redundancy) that might affect attention and message processing jointly with MSV, and other individual difference variables, such as need for cognition, trait reactance, locus of control, and etc.
Mia Liza A. Lustria
In today’s saturated media environment, it is incumbent for designers of health education materials to find more effective and efficient ways of capturing the attention of the public, particularly when the intent is to influence individual behavior change. Tailoring is a message design strategy that has been shown to amplify the effectiveness of health messages at an individual level. It is a data-driven and theory-informed strategy for crafting a message using knowledge of various factors that might influence the individual’s responsiveness to the message, such as their information needs, beliefs, motivations, and health behaviors. It also enhances the persuasiveness of a message by increasing its perceived relevance, drawing attention to the message, and encouraging deeper elaboration of the information. Tailoring content based on known antecedents of the intended behavioral outcomes has been shown to enhance tailoring effectiveness. Compared to generic messages, tailored messages are perceived to be more personally relevant, command greater attention, are recalled more readily, and encourage more positive evaluations of the information overall. Various meta-analyses have demonstrated the effectiveness of tailored interventions promoting a number of health behaviors, such as smoking cessation, healthy diet and nutrition, physical activity, and regular recommended health screenings.
Advances in information and communication technologies have led to more sophisticated, multimodal tailored interventions with improved reach, and more powerful expert systems and data analysis models. Web technologies have made it possible to scale the production and delivery of tailored messages to multiple individuals at relatively low cost and to improve access to expert feedback, particularly among hard-to-reach population groups.
Simon Zebregs and Gert-Jan de Bruijn
Meta-analyses are becoming increasingly popular in the field of health and risk communication—meta-analyses allow for more precise estimations of the magnitude of effects and the robustness of those effects across empirical studies in a particular domain. Despite its popularity, most scholars are not trained in the basic methods involved with meta-analyses. There are advantages to meta-analysis in comparison to other forms of research synthesis. An overview of the methods involved in conducting and reporting meta-analytical research is helpful.
However, the methods involved with meta-analyses are not as clear-cut as they may first appear. Numerous issues must be considered and various arbitrary decisions are required during the process. These issues and decisions relate to various topics such as inclusion criteria, the selection of sources, quality assessments for eligible studies, and publication bias. Basic knowledge of these issues and decisions is important for interpreting the outcomes of a meta-analysis correctly.
Metaphor equates two concepts or domains of concepts in an A is B form, such that a comparison is implied between the two parts leading to a transfer of features typically associated with B (called source) to A (called target). Metaphor is evident in written, spoken, gestural, and pictorial modalities. It is also present as latent patterns of thought in the form of conceptual mappings between domains of experience called conceptual metaphor. Metaphor is found commonly in a variety of health and risk communication contexts, including public discourse, public understanding and perceptions, medical encounters, and clinical assessment. Often metaphor use is beneficial to achieving desired message effects; however, sometimes its use in a message can lead to unintended undesirable effects. There is a general consensus, although not complete agreement, that metaphors in messages are processed through engagement with corresponding conceptual mappings. This matching process can be taken as a general principle for design of metaphor-based health and risk messages.
Jessica Fitts Willoughby
People who communicate health and risk information are often trying to determine new and innovative ways to reach members of their target audience. Because of the nearly ubiquitous use of mobile phones among individuals in the United States and the continued proliferation of such devices around the world, communicators have turned to mobile as a possible channel for disseminating health information. Mobile health, often referred to as mHealth, uses mobile and portable devices to communicate information about health and to monitor health issues. Cell phones are one primary form of mHealth, with the use of cell phone features such as text messaging and mobile applications (apps) often used as a way to provide health information and motivation to target audience members. Text messaging, or short message service (SMS), is a convenient form for conveying health information, as most cell phone owners regularly send and receive text messages. mHealth offers benefits over other channels for communicating health information, such as convenience, portability, interactivity, and the ability to personalize or tailor messages. Additionally, mHealth has been found to be effective at changing attitudes and behaviors related to health. Research has found mobile to be a tool useful for promoting healthy attitudes and behaviors related to a number of topic areas, from increased sexual health to decreased alcohol consumption. Literature from health communication and research into mHealth can provide guidance for health communicators looking to develop an effective mHealth intervention or program, but possible concerns related to the use of mobile need to be considered, such as concerns about data security and participant privacy.
Melissa J. Robinson and Silvia Knobloch-Westerwick
In today’s media-saturated environment, individuals may be exposed to hundreds of media messages on a wide variety of topics each day. It is impossible for individuals to attend to every media message, and instead, they engage in the phenomenon of selective exposure, where certain messages are chosen and attended to more often than others. Health communication professionals face challenges in creating messages that can attract the attention of targeted audiences when health messages compete with more entertaining programming. In fact, one of the greatest obstacles for health campaigns is a lack of adequate exposure among targeted recipients. Individuals may avoid health messages completely or counterargue against persuasive attempts to change their health-related attitudes and behaviors. Once individuals have been exposed to a health message, their current mood plays an important role in the processing of health information and decision making. Early research indicated that a positive mood might actually be detrimental to information processing because individuals are more likely to process the information heuristically. However, recent studies countered these results and suggested that individuals in positive moods are more likely to attend to self-relevant health information, with increased recall and greater intent to change their behaviors.
Since mood has the ability to influence exposure to health messages and subsequent message processing, it is important for individuals to be able to manage their mood prior to health information exposure and possibly even during exposure. One way individuals can influence their moods is through media use including TV shows, movies, and music. Mood management theory predicts that individuals choose media content to improve and maintain positive moods and examines the mood-impacting characteristics of stimuli that influence individuals’ media selections. Therefore, an individual’s mood plays an important role in selection of any type of communication (e.g., news, documentaries, comedies, video games, or sports).
How can health message designers influence individuals’ selection and attention to health messages when negative moods may be blocking overtly persuasive attempts to change behaviors and a preference for entertaining media content? The narrative persuasion research paradigm suggests that embedding health information into entertainment messages may be a more effective method to overcome resistance or counterarguing than traditional forms of health messages (e.g., advertisements or articles). It is evident that mood plays a complex role in message selection and subsequent processing. Future research is necessary to examine the nuances between mood and health information processing including how narratives may maintain positive moods through narrative selection, processing, and subsequent attitude and/or behavior change.
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.