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在线传播饮食营养信息与影响健康行为意向:风险认知、问题识别和情境动机的作用。

Communicating Online Diet-Nutrition Information and Influencing Health Behavioral Intention: The Role of Risk Perceptions, Problem Recognition, and Situational Motivation.

机构信息

a School of Management , University of Science and Technology of China , Hefei , Anhui Province , P.R. China.

b Institute of Urban and Rural Economics , Anhui Academy of Social Sciences , Hefei , Anhui Province , P.R. China.

出版信息

J Health Commun. 2018;23(7):624-633. doi: 10.1080/10810730.2018.1500657. Epub 2018 Jul 30.

Abstract

Despite the concerns raised about the impact of online health information on users, research has not specifically explored different types of information behaviors people exhibit during the communicative process. In this article, we address this research gap by combining the Situational Theory of Problem Solving with considerations of multiple dimensions of risk perception, such as affective and deliberative. This study constructs a hypothetical model to explore how online users' risk perceptions and information behaviors (information seeking, forefending, and forwarding) influence their health behavioral intention. A survey collected data from 1,463 participants at two healthcare centers in China. Based on the structural equation modeling, multiple dimensions of risk perception play a distinctive role in communicating online health information and forming health behavioral intention. Furthermore, information forwarding, an essential information behavior, influences deliberative risk perception more than information forefending, and it is a much better predictor of individuals' health intention than information seeking. Implications and suggestions for health communication research are discussed.

摘要

尽管人们对在线健康信息对用户的影响表示担忧,但研究尚未专门探讨人们在交流过程中表现出的不同类型的信息行为。在本文中,我们通过将问题解决的情境理论与多维度的风险感知(如情感和深思熟虑)相结合来解决这一研究空白。本研究构建了一个假设模型,以探讨在线用户的风险感知和信息行为(信息搜索、回避和转发)如何影响他们的健康行为意向。这项研究通过在中国的两家医疗中心收集了 1463 名参与者的数据。基于结构方程模型,风险感知的多个维度在在线交流健康信息和形成健康行为意向方面发挥着独特的作用。此外,信息转发作为一种重要的信息行为,对深思熟虑的风险感知的影响大于信息回避,并且它是个体健康意向的一个更好的预测指标,而不是信息搜索。本文讨论了对健康传播研究的启示和建议。

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