Department of Nursing, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China.
Mental health Centre, West China Hospital, Sichuan University, Chengdu, China.
Compr Psychiatry. 2024 Aug;133:152505. doi: 10.1016/j.comppsych.2024.152505. Epub 2024 Jun 6.
More than half the domestic population in China were infected with COVID-19 in two months after ending "zero-infection policy", which severely overwhelmed frontline healthcare providers with stress and fear. However, there is no study to date investigating the associations between nurses' fear of pandemic and cyberchondria. This study aimed to 1) investigate the correlations between fear pandemic and cyberchondria among frontline nurses, and 2) discover its potential mechanism.
A cross-sectional sample of frontline nurses (N = 8161) was recruited from 98 hospitals across China in February 2023. Participants were invited to complete an online, self-rated standardized questionnaire focused on pandemic fear, alexithymia, psychological distress, and cyberchondria. Environmental, clinical and socioeconomic information were collected for adjustment while conducting chain mediation analysis.
When other covariates were controlled, it was found that fear of the pandemic significantly contributed to cyberchondria (b = 0.58, 95%CI [0.56, 0.60], p < .001). The chain mediation model suggested that both alexithymia and psychological distress were mediating factors between pandemic fear and cyberchondria.
The higher the perceived fear, the greater the cyberchondria, which suggests that reducing fear about the pandemic and providing adequate support could reduce the incidence of cyberchondria. As alexithymia and psychological distress may be transdiagnostic mechanisms between fear and cyberchondria, targeted interventions focused on expression dysregulation and emotional identification could be useful.
在中国结束“动态清零”政策的两个月后,超过一半的国内人口感染了 COVID-19,这给一线医护人员带来了巨大的压力和恐惧。然而,目前还没有研究调查护士对大流行的恐惧与网络疑病症之间的关系。本研究旨在:1)调查一线护士中对大流行的恐惧与网络疑病症之间的相关性,2)发现其潜在机制。
本研究于 2023 年 2 月从中国 98 家医院招募了 8161 名一线护士进行横断面样本调查。参与者被邀请填写一份在线的、自我评定的标准化问卷,重点关注大流行恐惧、述情障碍、心理困扰和网络疑病症。在进行连锁中介分析时,收集了环境、临床和社会经济信息进行调整。
当控制其他协变量时,发现对大流行的恐惧显著导致了网络疑病症(b=0.58,95%CI[0.56,0.60],p<0.001)。连锁中介模型表明,述情障碍和心理困扰都是大流行恐惧与网络疑病症之间的中介因素。
感知到的恐惧越高,网络疑病症的程度就越大,这表明减少对大流行的恐惧并提供足够的支持可以降低网络疑病症的发病率。由于述情障碍和心理困扰可能是恐惧与网络疑病症之间的跨诊断机制,因此针对表达失调和情绪识别的靶向干预可能是有用的。