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The mediating effect of the cyberchondria and anxiety sensitivity in the association between problematic internet use metacognition beliefs and fear of COVID-19 among Iranian online population

机译:伊朗在线人群中有问题的互联网利用元认知信念与Covid-19之间的关联中的核心换胞菌和焦虑敏感性的介导效应

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摘要

With the rapid growth of the novel coronavirus disease 2019 (COVID-19), individuals may try to find related medical information using the internet to overcome their fears. Under such circumstances, individuals with the features of cyberchondria, anxiety sensitivity, and metacognitive beliefs in negative thoughts may suffer more fears than those without these features. Therefore, the present study proposed a model to understand the associations between problematic internet use (PIU), cyberchondria, anxiety sensitivity, metacognition beliefs, and fear of COVID-19. Utilizing a cross-sectional online survey, 651 Iranians completed the following psychometric scales: Metacognition Questionnaire-30 (MCQ-30), Anxiety Sensitivity Questionnaire (ASI), Cyberchondria Severity Scale-Short Form (CSS-12), Fear of COVID-19 Scale (FCV–19S), and Generalized Problematic Internet Use Scale (GPIUS). Structural equation modeling (SEM) was used to assess the proposed model via several fit indices. The indices include Tucker-Lewis index (TLI), comparative fit index (CFI), standardized root mean square residual (SRMR), and root mean square error of approximation (RMSEA). The fit indices (CFI = 0.948, TLI = 0.938, RMSEA = 0.053, and SRMR = 0.001) indicated the good fit between the data and the proposed model. Moreover, fear of COVID-19 was significantly and directly predicted by cyberchondria (β = 0.479, p < .001) and anxiety sensitivity (β = 0.286, p < .001). The relationship between PIU and cyberchondria with fear of COVID-19 was mediated significantly by anxiety sensitivity and metacognitive beliefs. Because fear of COVID-19 was found to be significantly associated with cyberchondria and anxiety sensitivity, healthcare providers may want to provide additional support for those with cyberchondria and anxiety sensitivity tendencies.
机译:随着2019年新型冠状病毒疾病的快速增长(Covid-19),个人可能会尝试使用互联网找到相关的医疗信息来克服他们的恐惧。在这种情况下,具有网络渡轮特征,焦虑敏感性和负面思想的焦虑敏感性和元认知信念的个体可能遭受更多的恐惧,而不是这些特征的恐惧。因此,本研究提出了一种模型,以了解有问题的互联网使用(PIU),网络核植物,焦虑敏感性,元认知信仰和对Covid-19的恐惧之间的关联。利用横断面在线调查,651名伊朗人完成了以下心理测量尺度:元记录问卷-30(MCQ-30),焦虑敏感性问卷(ASI),网络换网严重程度鳞片短鳞(CSS-12),恐惧Covid-19规模(FCV-19S)和广义有问题的互联网使用量表(GPIUS)。结构方程建模(SEM)用于通过几种拟合指标评估所提出的模型。指数包括Tucker-Lewis指数(TLI),比较拟合指数(CFI),标准化的根均方残差(SRMR),以及近似的根均方误差(RMSEA)。拟合指数(CFI = 0.948,TLI = 0.938,RMSEA = 0.053和SRMR = 0.001)表示数据与所提出的模型之间的良好拟合。此外,通过Cyber​​Chondria(β= 0.479,P <.001)和焦虑敏感性(β= 0.286,P <.001),对Covid-19的恐惧显着并直接预测。通过焦虑敏感性和元认知信念,患有Covid-19恐惧的PIU和Cyber​​Chondria之间的关系。由于对Covid-19的恐惧被发现与Cyber​​ Chondria和焦虑敏感性有关,因此医疗保健提供者可能希望为那些患有网络换网和焦虑敏感性倾向的人提供额外的支持。

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