背景:COVID-19大流行导致健康信息大幅增加,其中有,反过来,在搜索基于网络的医疗信息的个体中,导致网络软骨症和焦虑显著上升。为了应对这种信息过载,保护他们的心理健康,个人可以采取各种策略。然而,这些策略在减轻信息过载的负面影响和促进整体福祉方面的有效性仍不确定。
目的:本研究旨在探讨应对策略对信息驱动的滥用医疗保健与抑郁症和网络软骨病之间关系的调节作用。这些发现可以为我们对信息流行病的心理影响的理解增加一个新的维度,尤其是在全球健康危机的背景下,以及不同应对策略对医疗过度使用与网络软骨病和焦虑关系的调节作用。
方法:本研究中使用的数据来自基于网络的横断面调查。与一家专业调查公司签约,使用其基于网络的小组收集数据。这项调查是由18岁或以上没有认知问题的中国人完成的。传染病驱动的医疗保健过度使用之间关系的模型参数,cyberchondria,使用自举偏最小二乘结构方程模型分析焦虑。此外,还研究了应对策略对上述关系的调节作用。
结果:共有986名受访者完成了基于网络的调查。广泛性焦虑症-7和网络软骨症严重程度量表-12的平均得分分别为8.4(SD3.8)和39.7(SD7.5),分别。以问题为中心的应对的平均得分高于以情绪和回避为中心的应对。高水平的传染病与过度使用医疗保健之间存在显着正相关关系(自助平均0.21,SD0.03;95%CI0.1581-0.271)。在所有模型中,过度使用医疗保健会导致更严重的网络软骨症(自举平均0.107,SD0.032)和更高的焦虑水平(自举平均0.282,SD0.032)。情绪(自举平均0.02,SD0.008和0.037,SD0.015)和回避(自举平均0.026,SD0.009和0.049,SD0.016)为重点的应对策略显着缓和了过度使用医疗保健和网络软骨之间的关系,以及过度使用医疗保健和焦虑之间的关系,分别。关于基于问题的模型,对于过度使用医疗保健和焦虑之间的关系,调节作用显著(自举平均值0.007,SD0.011;95%CI0.005-0.027).
结论:本研究提供了实证证据,证明应对策略对信息相关的过度使用医疗保健服务与网络软骨症和焦虑之间关系的影响。未来的研究可以在这项研究的结果的基础上进一步探索这些关系,并开发和测试旨在减轻信息流行病对心理健康的负面影响的干预措施。
BACKGROUND: The COVID-19 pandemic has led to a substantial increase in health information, which has, in turn, caused a significant rise in cyberchondria and anxiety among individuals who search for web-based medical information. To cope with this information overload and safeguard their mental well-being, individuals may adopt various strategies. However, the effectiveness of these strategies in mitigating the negative effects of information overload and promoting overall well-being remains uncertain.
OBJECTIVE: This study aimed to investigate the moderating effect of
coping strategies on the relationship between the infodemic-driven misuse of health care and depression and cyberchondria. The findings could add a new dimension to our understanding of the psychological impacts of the infodemic, especially in the context of a global health crisis, and the moderating effect of different
coping strategies on the relationship between the overuse of health care and cyberchondria and anxiety.
METHODS: The data used in this study were obtained from a cross-sectional web-based survey. A professional survey company was contracted to collect the data using its web-based panel. The survey was completed by Chinese individuals aged 18 years or older without cognitive problems. Model parameters of the relationships between infodemic-driven overuse of health care, cyberchondria, and anxiety were analyzed using bootstrapped partial least squares structural equation modeling. Additionally, the moderating effects of
coping strategies on the aforementioned relationships were also examined.
RESULTS: A total of 986 respondents completed the web-based survey. The mean scores of the Generalized Anxiety Disorder-7 and Cyberchondria Severity Scale-12 were 8.4 (SD 3.8) and 39.7 (SD 7.5), respectively. The mean score of problem-focused
coping was higher than those of emotion- and avoidant-focused
coping. There was a significantly positive relationship between a high level of infodemic and increased overuse of health care (bootstrapped mean 0.21, SD 0.03; 95% CI 0.1581-0.271). The overuse of health care resulted in more severe cyberchondria (bootstrapped mean 0.107, SD 0.032) and higher anxiety levels (bootstrapped mean 0.282, SD 0.032) in all the models. Emotion (bootstrapped mean 0.02, SD 0.008 and 0.037, SD 0.015)- and avoidant (bootstrapped mean 0.026, SD 0.009 and 0.049, SD 0.016)-focused coping strategies significantly moderated the relationship between the overuse of health care and cyberchondria and that between the overuse of health care and anxiety, respectively. Regarding the problem-based model, the moderating effect was significant for the relationship between the overuse of health care and anxiety (bootstrapped mean 0.007, SD 0.011; 95% CI 0.005-0.027).
CONCLUSIONS: This study provides empirical evidence about the impact of
coping strategies on the relationship between infodemic-related overuse of health care services and cyberchondria and anxiety. Future research can build on the findings of this study to further explore these relationships and develop and test interventions aimed at mitigating the negative impact of the infodemic on mental health.