Gong Hongcun, Deng Sanhong, Wang Hao, Cao Gaohui
School of Information Management, Nanjing University, China.
International Joint Informatics Laboratory, Nanjing University, China.
Digit Health. 2023 Oct 25;9:20552076231208559. doi: 10.1177/20552076231208559. eCollection 2023 Jan-Dec.
The aim of the current study was to explore the relationship between online and offline health information-seeking behaviors, as antecedents and consequences, and health anxiety and related belief factors in rural residents.
Based on the ABC theory of emotions (ABC model), this study developed two theoretical models of the association between health anxiety and health information-seeking behavior: Placing health information-seeking behavior (both online and offline) as an outcome and antecedent, respectively, and setting three belief factors of the perceived health threat, intolerance of uncertainty, and catastrophic misinterpretations. We collected 730 self-reported data points from 20 June to 5 July 2022 for rural residents in China and empirically tested the research model and hypotheses using partial least squares-based structural equation modeling.
The perceived health threat and intolerance of uncertainty are significant motivators of health anxiety, and health anxiety has a direct beneficial effect on both online and offline health information-seeking behaviors. Health anxiety is influenced either directly or indirectly by catastrophic misinterpretations resulting from online health information-seeking, while offline health information-seeking behavior does not contribute as strongly to health anxiety directly but mainly reinforces it through the mediating influence of catastrophic misinterpretations.
Rural residents' health anxiety promotes their online and offline health information behaviors. And both their online and offline health information-seeking behaviors may promote health anxiety directly and through catastrophic misinterpretations. Comparing the two, online health information-seeking behaviors primarily exacerbate health anxiety through direct effects, whereas offline health information-seeking behaviors primarily affect health anxiety through catastrophic misinterpretations. We provide suggested guidelines for alleviating health anxiety and regulating health information behaviors among rural residents.
本研究旨在探讨农村居民在线和离线健康信息寻求行为作为前因和后果与健康焦虑及相关信念因素之间的关系。
基于情绪ABC理论(ABC模型),本研究构建了两个关于健康焦虑与健康信息寻求行为关联的理论模型:分别将健康信息寻求行为(包括在线和离线)作为结果和前因,并设定了感知健康威胁、不确定性不耐受和灾难性误解这三个信念因素。我们于2022年6月20日至7月5日收集了730份来自中国农村居民的自我报告数据,并使用基于偏最小二乘法的结构方程模型对研究模型和假设进行了实证检验。
感知健康威胁和不确定性不耐受是健康焦虑的重要驱动因素,健康焦虑对在线和离线健康信息寻求行为均有直接的正向影响。健康焦虑直接或间接受在线健康信息寻求导致的灾难性误解影响,而离线健康信息寻求行为对健康焦虑的直接影响不强,主要通过灾难性误解的中介作用来强化健康焦虑。
农村居民的健康焦虑促进了他们的在线和离线健康信息行为。他们的在线和离线健康信息寻求行为都可能直接并通过灾难性误解促进健康焦虑。相比之下,在线健康信息寻求行为主要通过直接影响加剧健康焦虑,而离线健康信息寻求行为主要通过灾难性误解影响健康焦虑。我们为缓解农村居民的健康焦虑和规范其健康信息行为提供了建议指南。