Could Watching TV Be Good for You? Examining How Media Consumption Patterns Relate to Salivary Cortisol.

This research explores whether media diet influences health, not through its effects on cognition and behavior but rather through its effects on biomarkers of stress, which are implicated in a host of acute and chronic illnesses. Two hundred and forty young adults completed assessments of their media consumption habits followed at least 2 days later by measures of the stress-related hormone cortisol. Results suggest that frequency of consuming different media and genres may decrease cortisol under certain conditions and increase them under others. Further, the patterns of results were wholly different from those found for perceived stress. The implications of these findings for health-related media effects and theoretical development are discussed.

Unrealistic Hope and Unnecessary Fear: Exploring How Sensationalistic News Stories Influence Health Behavior Motivation.

In light of the inherent conflict between the nature of science (slow, subject to correction) and the nature of news (immediate, dramatic, novel), this study examines the effect of emotional health news coverage on intentions to engage in protective health behaviors. One hundred seventy-seven students read news stories designed to evoke either fear or hope about human papillomavirus (HPV) followed by different levels of response efficacy information regarding an impending HPV vaccine. Results indicated no main effects for emotion frame or response efficacy, but a significant interaction suggested that emotionally-consistent presentations (fear/low efficacy; hope/high efficacy) boosted intentions to engage in protective actions relative to emotionally-inconsistent, sensationalized presentations (fear/high efficacy, hope/low efficacy). Consistent with the emotion-as-frame perspective, this effect was moderated by perceived knowledge about HPV prevention. Effects of the sensationalized story constructions on trust in health news were also evidenced. Implications for the role of emotional health news coverage in priming prior knowledge about preventative health behaviors, along with future research directions, are discussed.

"Obesity is the New Major Cause of Cancer": Connections Between Obesity and Cancer on Facebook and Twitter.

Social media interactions can inform public health risk perceptions. While research has examined the risk relationships between obesity and cancer, public attitudes about their associations remain largely unknown. We explored how these constructs were discussed together on two social media platforms. Publicly accessible Facebook and Twitter posts from a 2-month period in 2012 containing references to obesity ("obese/obesity," "overweight," and "fat") and cancer-related words were extracted (N = 3702 posts). Data cleaning yielded a final set of 1382 posts (Facebook: N = 291; Twitter: N = 1091). Using a mixed-methods approach, themes were inductively generated, and sentiment valence, structural elements, and epistemic stance were coded. Seven relational themes emerged: obesity is associated with cancer (n = 389), additional factors are associated with both obesity and cancer (n = 335), obesity causes cancer (n = 85), cancer causes obesity (n = 6), obesity is not linked to cancer (n = 13), co-occurrence (n = 492), and obesity is valued differently than cancer (n = 60). Fifty-nine percent of posts focused on an associative or causal link between obesity and cancer. Thirty-one percent of posts contained positive and/or negative sentiment. Facebook was more likely to contain any sentiment, but Twitter contained proportionately more negative sentiment. Concurrent qualitative analysis revealed a dominance of individual blame for overweight/obese persons and more support and empathy for cancer survivors. Our study reflects wide recognition of the evidence linking obesity to increased risk of cancer, a diverse set of factors perceived to be dually associated with both conditions and differing attribution of responsibility. We demonstrate that social media monitoring can provide an important gauge of public health risk perception.

What Do People Like to "Share" About Obesity? A Content Analysis of Frequent Retweets About Obesity on Twitter.

Twitter has been recognized as a useful channel for the sharing and dissemination of health information, owing in part to its "retweet" function. This study reports findings from a content analysis of frequently retweeted obesity-related tweets to identify the prevalent beliefs and attitudes about obesity on Twitter, as well as key message features that prompt retweeting behavior conducive to maximizing the reach of health messages on Twitter. The findings show that tweets that are emotionally evocative, humorous, and concern individual-level causes for obesity were more frequently retweeted than their counterparts. Specifically, tweets that evoke amusement were retweeted most frequently, followed by tweets evoking contentment, surprise, and anger. In regard to humor, derogatory jokes were more frequently retweeted than nonderogatory ones, and in terms of specific types of humor, weight-related puns, repartee, and parody were shared frequently. Consistent with extant literature about obesity, the findings demonstrated the predominance of the individual-level (e.g., problematic diet, lack of exercise) over social-level causes for obesity (e.g., availability of cheap and unhealthy food). Implications for designing social-media-based health campaign messages are discussed.

Is Online Health Activity Alive and Well or Flatlining? Findings From 10 Years of the Health Information National Trends Survey.

The Internet increasingly enables diverse health communication activities, from information seeking to social media interaction. Up-to-date reporting is needed to document the national prevalence, trends, and user profiles of online health activities so that these technologies can be best used in health communication efforts. This study identifies prevalence, trend, and factors associated with seeking health information, e-mailing health care providers, and using social media for health purposes. Four iterations of HINTS survey data, collected in 2003, 2005, 2008, and 2012, were analyzed to assess population-level trends over the last decade, and current prevalence of Internet-based health communication activities. Sociodemographic and health correlates were explored through weighted logistic regression modeling. Findings demonstrated that Internet use has steadily increased, with 78% of U.S. adults online in 2012; however several digital divide factors--among them education, age, and race/ethnicity--still predict access. Once online, 70% of adults use the Internet as their first source for health information, and while 19% have e-mailed health care providers, engagement in health communication on social media is still relatively low. Distinct user profiles characterize each type of communication, with age, population density, and gender emerging as important predictors across online health activities. These findings have important implications for health communication research and practice.

Obesity in social media: a mixed methods analysis.

The escalating obesity rate in the USA has made obesity prevention a top public health priority. Recent interventions have tapped into the social media (SM) landscape. To leverage SM in obesity prevention, we must understand user-generated discourse surrounding the topic. This study was conducted to describe SM interactions about weight through a mixed methods analysis. Data were collected across 60 days through SM monitoring services, yielding 2.2 million posts. Data were cleaned and coded through Natural Language Processing (NLP) techniques, yielding popular themes and the most retweeted content. Qualitative analyses of selected posts add insight into the nature of the public dialogue and motivations for participation. Twitter represented the most common channel. Twitter and Facebook were dominated by derogatory and misogynist sentiment, pointing to weight stigmatization, whereas blogs and forums contained more nuanced comments. Other themes included humor, education, and positive sentiment countering weight-based stereotypes. This study documented weight-related attitudes and perceptions. This knowledge will inform public health/obesity prevention practice.

Predictors of eHealth usage: insights on the digital divide from the Health Information National Trends Survey 2012.

BACKGROUND: Recent eHealth developments have elevated the importance of assessing the extent to which technology has empowered patients and improved health, particularly among the most vulnerable populations. With noted disparities across racial and social groups in chronic health outcomes, such as cancer, obesity, and diabetes, it is essential that researchers examine any differences in the implementation, uptake, and impact of eHealth strategies across groups that bear a disproportionate burden of disease. OBJECTIVE: The goal was to examine eHealth use by sociodemographic factors, such as race/ethnicity, socioeconomic status (SES), age, and sex. METHODS: We drew data from National Cancer Institute's 2012 Health Information National Trends Survey (HINTS) (N=3959) which is publicly available online. We estimated multivariable logistic regression models to assess sociodemographic predictors of eHealth use among adult Internet users (N=2358) across 3 health communication domains (health care, health information-seeking, and user-generated content/sharing). RESULTS: Among online adults, we saw no evidence of a digital use divide by race/ethnicity. However, there were significant differences in use by SES, particularly for health care and health information-seeking items. Patients with lower levels of education had significantly lower odds of going online to look for a health care provider (high school or less: OR 0.50, 95% CI 0.33-0.76) using email or the Internet to communicate with a doctor (high school or less: OR 0.46, 95% CI 0.29-0.72), tracking their personal health information online (high school or less: OR 0.53, 95% CI 0.32-0.84), using a website to help track diet, weight, and physical activity (high school or less: OR 0.64, 95% CI 0.42-0.98; some college: OR 0.67, 95% CI 0.49-0.93), or downloading health information to a mobile device (some college: OR 0.54, 95% CI 0.33-0.89). Being female was a consistent predictor of eHealth use across health care and user-generated content/sharing domains, whereas age was primarily influential for health information-seeking. CONCLUSIONS: This study illustrates that lower SES, older, and male online US adults were less likely to engage in a number of eHealth activities compared to their counterparts. Future studies should assess issues of health literacy and eHealth literacy and their influence on eHealth engagement across social groups. Clinical care and public health communication efforts attempting to leverage Web 2.0 and 3.0 platforms should acknowledge differential eHealth usage to better address communication inequalities and persistent disparities in health.

Facebook friends with (health) benefits? Exploring social network site use and perceptions of social support, stress, and well-being.

There is clear evidence that interpersonal social support impacts stress levels and, in turn, degree of physical illness and psychological well-being. This study examines whether mediated social networks serve the same palliative function. A survey of 401 undergraduate Facebook users revealed that, as predicted, number of Facebook friends associated with stronger perceptions of social support, which in turn associated with reduced stress, and in turn less physical illness and greater well-being. This effect was minimized when interpersonal network size was taken into consideration. However, for those who have experienced many objective life stressors, the number of Facebook friends emerged as the stronger predictor of perceived social support. The "more-friends-the-better" heuristic is proposed as the most likely explanation for these findings.

Web 2.0 for health promotion: reviewing the current evidence.

As Web 2.0 and social media make the communication landscape increasingly participatory, empirical evidence is needed regarding their impact on and utility for health promotion. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we searched 4 medical and social science databases for literature (2004-present) on the intersection of Web 2.0 and health. A total of 514 unique publications matched our criteria. We classified references as commentaries and reviews (n = 267), descriptive studies (n = 213), and pilot intervention studies (n = 34). The scarcity of empirical evidence points to the need for more interventions with participatory and user-generated features. Innovative study designs and measurement methods are needed to understand the communication landscape and to critically assess intervention effectiveness. To address health disparities, interventions must consider accessibility for vulnerable populations.

An Initial Investigation into Naturally Occurring Loss- and Gain-Framed Memorable Breast Cancer Messages.

Memorable message research examines interpersonal messages "…remembered for extremely long periods of time and which people perceive as a major influence on the course of their lives" (Knapp, Stohl, & Reardon, 1981, p. 27). They can also guide actions, such as health behaviors. This exploratory research examined self-reported memorable messages about breast cancer to determine if they were framed, emphasizing either the benefits (gain-framed) or the costs (loss-framed) of a behavior. About one-fourth of the messages were framed, with most being gain-framed. The messages tended to emphasize early detection actions. Study limitations and implications for future research are discussed.