D'Angelo Jonathan, Kerr Bradley, Moreno Megan A
Department of Communication Arts, University of Wisconsin - Madison.
Seattle Children's Research Institute.
Bull Sci Technol Soc. 2014 Oct-Dec;34(5-6):159-169. doi: 10.1177/0270467615584044.
Given the prevalence of social media, a nascent but important area of research is the effect of social media posting on one's own self. It is possible that an individual's social media posts may have predictive capacity, especially in relation to health behavior. Researchers have long utilized concepts from the Theory of Reasoned Action (TRA) to predict health behaviors. The theory does not account for social media, which may influence or predict health behaviors. The purpose of this study was to test a model including Facebook alcohol displays and constructs from the TRA to predict binge drinking. Incoming college freshmen from two schools (312 participants between the ages of 18 and 19) were interviewed prior to (T1) and one year into college (T2), and their Facebook profiles were evaluated for displayed alcohol content. Path modeling was used to evaluate direct and indirect paths predicting binge drinking. Path analysis suggested that Facebook alcohol displays at T1 directly predict binge drinking at T2, while alcohol attitude both directly and indirectly predicts binge drinking. Based on these results, a preliminary model of social media presentation and action is discussed.
鉴于社交媒体的普及，一个新兴但重要的研究领域是社交媒体发帖对个人自身的影响。个人的社交媒体帖子可能具有预测能力，尤其是在与健康行为相关的方面。长期以来，研究人员一直运用理性行动理论（TRA）中的概念来预测健康行为。该理论并未考虑到可能影响或预测健康行为的社交媒体。本研究的目的是测试一个模型，该模型包括脸书上展示的饮酒内容以及TRA中的一些构念，以预测暴饮行为。来自两所学校的即将入学的大学新生（312名年龄在18至19岁之间的参与者）在入学前（T1）和入学一年后（T2）接受了访谈，并对他们脸书资料中展示的饮酒内容进行了评估。路径建模用于评估预测暴饮行为的直接和间接路径。路径分析表明，T1时脸书上展示的饮酒内容直接预测T2时的暴饮行为，而饮酒态度则直接和间接预测暴饮行为。基于这些结果，讨论了社交媒体呈现与行为的初步模型。
