TikToks Lead to Higher Knowledge and Perceived Severity of Sexual Violence among Adolescent Men.

Social media communication is a promising way to deliver important health messages about sexual violence to a key population of adolescent men. The researchers conducted an online, between-participants experiment to examine the impact of personal narrative TikToks about sexual violence on adolescent men. Participants were adolescent men (n = 580) aged 15 to 19 (M = 17.3, SD = 1.43). Participants were randomly assigned to treatment (personal narrative TikToks about sexual violence) or control (hair braiding TikTok tutorials) conditions. Adolescent men who viewed personal narrative TikToks about sexual violence had higher knowledge of consequences and higher perceived severity of sexual violence. Additionally, adolescent men found personal narrative TikToks more attention-grabbing (vs. control) and did not have negative reactions. Findings that short (approximately one-minute) TikTok videos led to differences in knowledge and beliefs among, and were interesting and not aversive to, adolescent men are important for sexual violence prevention research. Health messages on TikTok can help shift adolescent perceptions of sexual violence, which is a key starting point towards changing norms.

How Information Repertoire Affects Vaccine Hesitancy: Processes of Information Verification and Cognitive Elaboration.

As information consumption plays a critical role in addressing vaccine hesitancy in the hybrid media environment, it becomes crucial to understand how individuals' use of a combination of channels and sources affects their vaccine hesitancy. Based on information repertoire approaches emphasizing the multiplicity of channels and sources, we investigated different patterns of information repertoire related to the COVID-19 pandemic and how these patterns affected vaccine hesitancy through different informational mechanisms. Our results based on a U.S. sample suggest that while a richer information repertoire related to increased confidence in vaccines through increased information verification, this richness also corresponded with deepened vaccine hesitancy through heightened cognitive elaboration and perceived information inconsistency. Our findings support the utility of repertoire approaches for better understanding health information acquisition in the complex media ecology.

Stay Socially Distant and Wash Your Hands: Using the Health Belief Model to Determine Intent for COVID-19 Preventive Behaviors at the Beginning of the Pandemic.

BACKGROUND: The COVID-19 pandemic has quickly spread around the world, and since currently no treatments that are safe and effective for large groups of people nor a vaccine are available, the best way to prevent the illness is to avoid being exposed to the virus causing it. The purpose of this study was to examine the predictive effects of both demographic and psychosocial factors originating with the Health Belief Model on reported intent to adhere to COVID-19 preventive behaviors (e.g., social distancing, hand washing, and not attending large gatherings). METHOD: A Qualtrics survey of 500 U.S. adults was conducted to explore the relationships of demographics and psychosocial factors with the intent to adhere to COVID-19 preventive measures. RESULTS: Gender was a predictor of taking preventive action, with women more likely to take action. Health Belief Model constructs predicted uptake of most COVID-19 preventive actions, but the constructs often appeared to work independent of the model. Race/ethnicity was an infrequent predictor, but when it did, minorities were less likely to report intent to adhere to COVID-19 preventive behaviors. CONCLUSION/IMPLICATIONS: While not a perfect model for this pandemic, the Health Belief Model and its constructs should continue to be considered for use by public health communicators focusing on preventive measure campaign design in both the COVID-19 pandemic era and beyond.

Tweeting the #flushot: Beliefs, Barriers, and Threats During Different Periods of the 2018 to 2019 Flu Season.

Influenza epidemics happen every year, with more than 8 million severe cases in 2017. The most effective way to prevent seasonal influenza is vaccination. In recent years, misinformation regarding vaccines abounds on social media, but the flu vaccine is relatively understudied in this area, and the current study is the first 1 to explore the content and nature of influenza information that is shared on Twitter, comparing tweets published in the early flu season with those posted in peak flu season. Using a quantitative content analysis, 1000 tweets from both parts of the flu season were analyzed for use of Health Belief Model (HBM) variables, engagement, and flu vaccine specific variables. Findings show several promising opportunities for health organizations and professionals: HBM constructs were present more frequently than in previous, related studies, and fewer vaccine-hesitant tweets appear to be present. However, the presence of high barriers to flu vaccine uptake increased significantly from early to peak season, including an increase in the mention of conspiracy theories. Flu vaccine related tweets appear to vary in misinformation level and density throughout the flu season. While this should be confirmed by further studies over multiple flu seasons, this a finding that should be considered by public health organizations when developing flu vaccine campaigns on social media.

Predicting visual attention to nutrition information on food products: the influence of motivation and ability.

Obesity is linked to numerous diseases including heart disease, diabetes, and cancer. To address this issue, food and beverage manufacturers as well as health organizations have developed nutrition symbols and logos to be placed on the front of food packages to guide consumers to more healthful food choices. In 2010, the U.S. Food and Drug Administration requested information on the extent to which consumers notice, use, and understand front-of-package nutrition symbols. In response, this study used eye-tracking technology to explore the degree to which people pay visual attention to the information contained in food nutrition labels and front-of-package nutrition symbols. Results indicate that people with motivation to shop for healthful foods spent significantly more time looking at all available nutrition information compared to people with motivation to shop for products on the basis of taste. Implications of these results for message design, food labeling, and public policy are discussed.