From infected to recovered: the mediating role of sleep quality between self-compassion, social support and COVID-19 psychosomatic symptoms.

IF 3.5 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Outong Chen, Fang Guan, Chengqing Zhan, Ying Li
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引用次数: 0

Abstract

Background: Recent research has shown significant individual differences in COVID-19 psychosomatic symptoms. However, there has been a lack of studies investigating the influence of physical and psychological factors on these symptoms and their underlying mechanisms. This study aims to fill this gap by investigating the predictive role of self-compassion and social support on COVID-19 psychosomatic symptoms, as well as the potential mediating role of sleep quality.

Methods: Data were collected from 636 participants infected with COVID-19 during the early post-pandemic reopening phase in China. The measurement tools used in the current study included the Self-Compassion Scale, the Perceived Social Support Scale, Self-Rating Scale of Sleep, and a COVID-19 Psychosomatic Symptom Diary.

Results: A structural equation model revealed that: (1) social support directly predicts COVID-19 psychosomatic symptoms; (2) sleep quality fully mediates the relationship between self-compassion and COVID-19 psychosomatic symptoms; and (3) sleep quality partially mediates the relationship between social support and COVID-19 psychosomatic symptoms.

Conclusions: These findings not only confirm previous research but also provide new insights into the intricate interplay between psychological and physical factors and their influence on COVID-19 psychosomatic symptoms. The implications of these findings may inform the development of targeted rehabilitation programs in the post-pandemic era of the "new normal".

Clinical trial number: Not applicable.

从感染到康复:睡眠质量在自我同情、社会支持和 COVID-19 心身症状之间的中介作用。
背景:最近的研究表明,COVID-19心身症状存在明显的个体差异。然而,目前还缺乏对生理和心理因素对这些症状的影响及其内在机制的研究。本研究旨在通过调查自我同情和社会支持对 COVID-19 心身症状的预测作用,以及睡眠质量的潜在中介作用来填补这一空白:方法:在中国疫情重开后的早期阶段,研究人员收集了 636 名 COVID-19 感染者的数据。本研究使用的测量工具包括自我同情量表、感知社会支持量表、睡眠自评量表和 COVID-19 心身症状日记:结构方程模型显示(结果:结构方程模型显示:(1)社会支持可直接预测 COVID-19 心身症状;(2)睡眠质量可完全调节自我同情与 COVID-19 心身症状之间的关系;(3)睡眠质量可部分调节社会支持与 COVID-19 心身症状之间的关系:这些研究结果不仅证实了之前的研究,还为心理和生理因素之间错综复杂的相互作用及其对 COVID-19 心身症状的影响提供了新的见解。这些研究结果的意义可能有助于在大流行后的 "新常态 "时代制定有针对性的康复计划:临床试验编号:不适用。
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来源期刊
BMC Public Health
BMC Public Health 医学-公共卫生、环境卫生与职业卫生
CiteScore
6.50
自引率
4.40%
发文量
2108
审稿时长
1 months
期刊介绍: BMC Public Health is an open access, peer-reviewed journal that considers articles on the epidemiology of disease and the understanding of all aspects of public health. The journal has a special focus on the social determinants of health, the environmental, behavioral, and occupational correlates of health and disease, and the impact of health policies, practices and interventions on the community.
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