How Interactive Data Visualization and Users' BMI (Body Mass Index) Influence Obesity Prevention Intentions: The Mediating Effect of Cognitive Absorption

The current study examines how interactive data visualization can augment the persuasive potential of health information. In an experiment using an obesity-awareness website (N = 248), we manipulated the level of interactivity in a data visualization tool that featured obesity prevalence in the U.S. and measured participants' absorption into the website, perceived issue severity, content perceptions, and intentions to prevent/treat obesity. Our data demonstrated that lower BMI participants reported greater cognitive absorption when highly interactive data visualization was available on the website. Subsequently, greater cognitive absorption into the website led to higher perceived issue severity, greater content perceptions, and higher obesity prevention intentions among lower BMI participants but not among higher BMI participants.

Framing Obesity: Effects of Obesity Labeling and Prevalence Statistics on Public Perceptions

The rising prevalence rate of obesity in the United States has accentuated concerns about obesity-related problems as a major public health issue, which has motivated widespread efforts to increase public knowledge and to motivate individuals to change their relevant behaviors. Although health campaign messages commonly include information about prevalence rates for obesity, the impact of obesity labeling and prevalence rate descriptions in such messages has been overlooked by researchers. This online framing experiment fills the research gap by investigating the effects of obesity labeling (disease vs. body type) and prevalence statistics (prevalence rates of obesity, extreme obesity, combined overweight-obesity, or no prevalence information). Our findings suggest that obesity perceptions deviate from reality and that participants use framed cues in the health message as reference points when making judgments related to the nature and prevalence of obesity. Moreover, this study shows that even accurate information might lead to inaccurate perceptions as a result of framing, and perceptions of the nature and prevalence of obesity mediate the effects of framing on behavioral intentions. Implications for obesity framing and the design of public health messages are discussed.