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医护人员的头痛:一项关于诱发因素和维持因素及其与作为新冠后综合征的职业倦怠之间关系的前瞻性研究。

Headaches in Healthcare Workers: A Prospective Study of Precipitating and Maintenance Variables and Their Relationship with Burnout as a Post-COVID Syndrome.

作者信息

Gil-Almagro Fernanda, Carmona-Monge Francisco Javier, García-Hedrera Fernando José, Peñacoba-Puente Cecilia

机构信息

Department of Psychology, Faculty of Health Sciences, Rey Juan Carlos University, Avda. de Atenas, s/n, 28922 Madrid, Spain.

Intensive Care Unit, Hospital Universitario Fundación Alcorcón, Calle Berlin, 6A, 28922 Madrid, Spain.

出版信息

Neurol Int. 2024 Nov 14;16(6):1464-1480. doi: 10.3390/neurolint16060109.

DOI:10.3390/neurolint16060109
PMID:39585068
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11587430/
Abstract

BACKGROUND

Headaches are a common symptom in healthcare workers (HCWs), mainly associated with high levels of stress. Different research has studied their incidence during the COVID-19 pandemic, most of them with correlational designs, and at the beginning of the pandemic and focused on the associated occupational variables.

AIMS

(1) To analyze the incidence of headaches in HCWs at the beginning of the COVID-19 pandemic and their maintenance six months later. (2) To explore the risk factors associated with their onset and maintenance, including sociodemographic, occupational, emotional symptomatology, and personality variables. (3) To propose a model to explain the chronification of stress in burnout, including the moderating role of chronic headaches.

METHODS

A prospective study ( = 259 HCWs) at three points in time during the COVID-19 pandemic, from the alarm state phase (T1: May-June 2020) to the post-pandemic stage (T3: April-July 2022), including an intermediate measure six months after T1 (T2). Descriptive analyses, Pearson's chi-square, Student's t, logistic regressions, and moderated mediation models were conducted using the Process package for SPSS. In addition to headaches, socio-demographic, occupational, emotional symptomatology, and personality variables were included.

RESULTS

At T1 the prevalence of headaches was 69.9%. At T2 the prevalence was 73.7%. Of these, 59.5% are T1-T2 sustained headaches. Headaches at T1 were associated with age ( = 0.010) (younger HCWs), professional category ( = 0.049) (nurses), service ( = 0.023) (ICU, COVID hospitalization), non-availability of PPE ( = 0.010), additional COVID-19 symptomatology ( < 0.001), and concern for contagion of family members ( < 0.001) (higher scores). In addition, HCWs with headaches had higher levels of stress ( = 0.001), anxiety ( = 0.001), depression ( = 0.041), and sleep disorders ( < 0.001). A subsequent logistic regression analysis showed that of the above variables, the presence of additional COVID-19 symptoms ( < 0.001) and depression ( = 0.010) were the predictor variables. With regard to the maintenance of headaches (T1-T2), anxiety ( = 0.035), stress ( = 0.001), and cognitive fusion ( = 0.013) were found to be the significant variables. The tested model proposes anxiety (T1) as antecedent, cognitive fusion (T2) as mediator, burnout (T3) as consequent, and chronic headaches (yes/no) as the moderating variable between anxiety and burnout (model 5). The model is significant (F = 19.84, < 0.001) and contributes to the explanation of 36% of the variance of burnout. The relationships in the model are all statistically significant, and specifically chronic headaches contribute to a 6-fold increase in the likelihood of burnout.

CONCLUSIONS

The present research differentiates between precipitating and maintenance factors of headaches in HCWs. The former, more studied in previous research, are usually related to sociodemographic and occupational variables and levels of anxiety and stress. Maintenance factors, scarcely explored, are related to the maintenance of emotional symptomatology and the inability to manage intrusive thoughts (i.e., cognitive fusion). Of particular interest is that the presence of chronic headaches itself is capable of producing burnout as a post-COVID syndrome.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d388/11587430/d2f5e52a04bc/neurolint-16-00109-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d388/11587430/a545b393856a/neurolint-16-00109-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d388/11587430/d2f5e52a04bc/neurolint-16-00109-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d388/11587430/a545b393856a/neurolint-16-00109-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d388/11587430/d2f5e52a04bc/neurolint-16-00109-g002.jpg
摘要

背景

头痛是医护人员(HCWs)的常见症状,主要与高压力水平相关。不同的研究探讨了新冠疫情期间头痛的发病率,其中大多数采用相关性设计,且研究时间集中在疫情初期,并侧重于相关职业变量。

目的

(1)分析新冠疫情初期医护人员头痛的发病率及其在六个月后的持续情况。(2)探究与头痛发作和持续相关的风险因素,包括社会人口统计学、职业、情绪症状和人格变量。(3)提出一个模型来解释倦怠中压力的慢性化,包括慢性头痛的调节作用。

方法

在新冠疫情期间的三个时间点对259名医护人员进行前瞻性研究,从警戒状态阶段(T1:2020年5月至6月)到疫情后阶段(T3:2022年4月至7月),包括在T1后六个月的中间测量(T2)。使用SPSS的Process程序包进行描述性分析、皮尔逊卡方检验、学生t检验、逻辑回归和调节中介模型分析。除头痛外,还纳入了社会人口统计学、职业、情绪症状和人格变量。

结果

在T1时头痛的患病率为69.9%。在T2时患病率为73.7%。其中,59.5%为T1 - T2持续头痛。T1时的头痛与年龄(p = 0.010)(年轻医护人员)、专业类别(p = 0.049)(护士)、服务科室(p = 0.023)(重症监护室、新冠患者住院科室)、个人防护装备不可用(p = 0.010)、额外的新冠症状(p < 0.001)以及对家庭成员感染的担忧(p < 0.001)(得分较高)相关。此外,有头痛的医护人员压力水平更高(p = 0.001)、焦虑水平更高(p = 0.001)、抑郁水平更高(p = 0.041)以及睡眠障碍更严重(p < 0.001)。随后的逻辑回归分析表明,在上述变量中,额外的新冠症状(p < 0.001)和抑郁(p = 0.010)是预测变量。关于头痛的持续情况(T1 - T2),焦虑(p = 0.035)、压力(p = 0.001)和认知融合(p = 0.013)是显著变量。所测试的模型提出焦虑(T1)作为前因,认知融合(T2)作为中介,倦怠(T3)作为后果,慢性头痛(是/否)作为焦虑和倦怠之间的调节变量(模型5)。该模型具有显著性(F = 19.84,p < 0.001),并有助于解释36%的倦怠方差。模型中的关系均具有统计学显著性,特别是慢性头痛使倦怠的可能性增加了6倍。

结论

本研究区分了医护人员头痛的诱发因素和维持因素。前者在先前研究中研究较多,通常与社会人口统计学和职业变量以及焦虑和压力水平相关。维持因素研究较少,与情绪症状的维持以及无法处理侵入性思维(即认知融合)有关。特别值得关注的是,慢性头痛本身能够作为新冠后综合征导致倦怠。

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