Christopher E. Beaudoin

Exploring Antismoking Ads: Appeals, Themes, and Consequences

In this study we seek a descriptive understanding of antismoking television advertising in light of the problem cigarette consumption poses for society today. We establish relationships between ad characteristics and whether ads have a youth or adult orientation, based on a content analysis of 197 antismoking television advertisements produced between 1991 and 1999. The study finds that youth-oriented ads have youth characters, sociability, and humor as common appeals, and social and short-term consequences. In contrast, adult-oriented ads relied on fear appeals and long-term, health-related consequences.

Explaining the Relationship between Internet Use and Interpersonal Trust: Taking into Account Motivation and Information Overload

Although a growing body of empirical research has assessed the relationship between Internet use and social capital, little is known about what mechanisms underlie this relationship. The current study addresses this gap in the literature by articulating and testing a multi-step model specific to the development of interpersonal trust, a critical component of social capital. In considering the influence of Internet use on interpersonal trust, this model takes into account motivation and information overload. Structural equation modeling was used to test the model with data from the 2006 Gadgets Survey of the Pew Internet & American Life Project. This analysis indicates that the effects of social resource motivation for Internet use on interpersonal trust were mediated by Internet use and perceived information overload. In addition, Internet use inversely influenced perceived information overload, Internet use influenced interpersonal trust, and perceived information overload inversely influenced interpersonal trust. These findings are considered in reference to previous literature on Internet effects, uses and gratifications, information processing, and the cognitive mediation model.

Bonding and bridging neighborliness: An individual-level study in the context of health

Although previous research provides a compelling picture of social capitals role in predicting health outcomes, only a modicum of research has tested the more detailed roles of the dimensions of bonding and bridging social capital, with no research focusing exclusively on bonding and bridging neighborliness or ethnicity. To help fill this gap in the literature, the current study measures individual-level bonding and bridging neighborliness for four U.S. ethnic groups-and then, with cross-sectional data from a 2007 national telephone survey of U.S. adults, employs ordinal logistic regression and OLS regression to test the individual-level predictors of self-rated health and stress, when controlling for BMI and demographics. Bonding neighborliness was associated with self-rated health and inversely associated with stress, whereas bridging neighborliness was not significantly linked to either health outcome. When also controlling for neighborhood composition, the bonding neighborliness findings remained generally consistent, while the association between bridging neighborliness and self-rated health gained significance. These results indicate the protective effects that bonding neighborliness can have on health outcomes, as well as the more modest protective effects of bridging neighborliness. These findings have implications for future research and practice, highlighting the potential of health interventions and policies that target the development of bonding social capital.

SARS News Coverage and Its Determinants in China and the US

/ This study investigates the prevalence of news frames in SARS news coverage from the Xinhua News Agency and the Associated Press (AP), as well as whether the frames were predicted by news environment and the SARS timeline. Factor analysis supported four frame dimensions: attribution of responsibility, human interest, economic consequences and severity. Frame prevalence was considered in terms of, first, the story as the unit of analysis and, second, word count as the unit of analysis. For both types of measurement, attribution of responsibility and severity frames were more common in AP. For economic consequences, story frame prevalence was higher in AP, while word frame prevalence was higher in Xinhua. For both types of measurement, economic consequences decreased over time, while attribution of responsibility and severity increased. Attribution of responsibility and human interest frames increased more over time in AP, while the severity frame increased more over time in Xinhua.

News, Social Capital and Health in the Context of Katrina

This study assesses the public health functions played by news information and social capital in the context of Hurricane Katrina. In-depth interviews were conducted with 57 hurricane shelter residents between 4 and 6 weeks after the hurricane. Depression was more common for participants who relied more on news information than for other participants after the hurricane (adjusted odds ratio [AOR], 5.49; 95% CI, 1.29 to 23.35; p=.021). Depression was more common for participants with relatively low levels of pre-hurricane positive social interactions (AOR, .16; 95% CI, .02 to 1.83; p=.046) and post-hurricane positive social interactions (AOR, .02; 95% CI, .00 to .74; p=.033) and high levels of post-hurricane negative social interactions (AOR, 17.05; 95% CI, .92 to 315.64; p=.047). Illness and injury were more common for participants who had relied more on news information than for other participants after the hurricane (AOR, 1.13; 95% CI, 1.02 to 2.77; p=.046).

Health information seeking, diet and physical activity: An empirical assessment by medium and critical demographics

PURPOSE Research over the past decade has conveyed a dramatic rise in health information seeking via the Internet and articulated various profiles and outcomes of health information seeking. In building upon this research, the current study is innovative in considering predictors of health information seeking by medium, as well as outcomes of health information seeking by medium and by critical demographics. METHODS OLS regression and logistic regression are conducted on data from a telephone survey of American adults in 2007 (N=700). RESULTS Profiles of health information seekers vary dramatically by medium (Internet versus newspapers versus television). In terms of outcomes, newspaper health information seeking is associated with fruit and vegetable consumption, while television health information seeking is associated with sweetened soft drink consumption. There are four significant interaction terms between these two health information seeking variables and unhealthy snack consumption. Internet health information seeking has no significant effects. CONCLUSIONS In comparison to the Internet, newspaper and television media have more favorable associations with recommended levels of lifestyle behaviors that may be critical in efforts to decrease obesity in the United States.

Mass Media Use, Neighborliness, and Social Support Assessing Causal Links With Panel Data

This study assesses pathways of causal influence between two mass media use measures (campaign exposure and news attention) and two indicators of social capital (neighborliness and social support). This assessment encompasses the evaluation of a health media campaign that targeted African Americans in New Orleans following Hurricane Katrina. Analysis of panel survey data indicated a significant over-time increase in neighborliness but not social support. Among the three cross-lagged effect models of influence, the best fit was of the mass media use causes social capital model. Similarly, among the three synchronous effect models of influence, the best fit was of the mass media use causes social capital model. This analysis provides support for the media campaigns effectiveness and, more broadly, allows for the extension of recent research that has used panel data to strengthen inferences of causation in different mass communication scenarios.

The impact of a health campaign on health social capital.

Referring to literature in sociology, mass communication, and public health, we conceptualize and operationally define “health social capital” and “individual health social capital” and then posit and test a model for its development in response to a public health media campaign. The campaign evaluated here was designed to stimulate behaviors that would provide a more supportive social environment for children and youth, an environment which we consider to be richer in aggregate health social capital. The association model of advertising was employed to explain the development of individual health social capital measures of awareness, attitude, and behavior. With cross-sectional data (1998, n = 614; 1999, n = 1,087; 2000, n = 1,388), we examine the results for changes in awareness, attitude, and behavior over time and the significant links between these dependent variables and media campaign exposure. The results show significant increases in awareness and attitude, but not in behavior. Structural equation modeling revealed different patterns of influence for newspaper and TV campaign exposure.

Modeling the impact of online cancer resources on supporters of cancer patients

This article considers the impact of internet use and online social capital on the health outcomes of supporters of cancer patients. Structural equation modeling offers support for the following three-step model: internet use online social capital stress and depression. Specifically, asynchronous online communication and offline communication stimulated by online communication had direct positive paths to social interaction and social support which, in turn, were both predictive of healthier or lower levels of stress and depression. These findings support previous research, which has indicated positive associations between mass media use and social capital and between social capital and health outcomes. In contrast, internet information-seeking by information type had a negative direct path to social support and negative indirect paths to stress and depression, indicating that information-seeking online has a detrimental impact on social capital and the health indicators.

Apps Seeking Theories: Results of a Study on the Use of Health Behavior Change Theories in Cancer Survivorship Mobile Apps

Background Thousands of mobile health apps are now available for use on mobile phones for a variety of uses and conditions, including cancer survivorship. Many of these apps appear to deliver health behavior interventions but may fail to consider design considerations based in human computer interface and health behavior change theories. Objective This study is designed to assess the presence of and manner in which health behavior change and health communication theories are applied in mobile phone cancer survivorship apps. Methods The research team selected a set of criteria-based health apps for mobile phones and assessed each app using qualitative coding methods to assess the application of health behavior change and communication theories. Each app was assessed using a coding derived from the taxonomy of 26 health behavior change techniques by Abraham and Michie with a few important changes based on the characteristics of mHealth apps that are specific to information processing and human computer interaction such as control theory and feedback systems. Results A total of 68 mobile phone apps and games built on the iOS and Android platforms were coded, with 65 being unique. Using a Cohen’s kappa analysis statistic, the inter-rater reliability for the iOS apps was 86.1 (P<.001) and for the Android apps, 77.4 (P<.001). For the most part, the scores for inclusion of theory-based health behavior change characteristics in the iOS platform cancer survivorship apps were consistently higher than those of the Android platform apps. For personalization and tailoring, 67% of the iOS apps (24/36) had these elements as compared to 38% of the Android apps (12/32). In the area of prompting for intention formation, 67% of the iOS apps (34/36) indicated these elements as compared to 16% (5/32) of the Android apps. Conclusions Mobile apps are rapidly emerging as a way to deliver health behavior change interventions that can be tailored or personalized for individuals. As these apps and games continue to evolve and include interactive and adaptive sensors and other forms of dynamic feedback, their content and interventional elements need to be grounded in human computer interface design and health behavior and communication theory and practice.