Psychology Department, Suffolk University, Boston, MA 02108, USA.
Harvard Medical School, McLean Hospital, Belmont, MA 02478, USA.
Int J Environ Res Public Health. 2021 Dec 21;19(1):50. doi: 10.3390/ijerph19010050.
The current study evaluated the impact of psychological wellbeing on sleep quality during the onset of the COVID-19 pandemic. A novel empirical model tested variables that mediate and moderate this impact. First, a relationship was established between psychological wellbeing during the COVID-19 pandemic and sleep quality. Second, resilience-based coping associated with the COVID-19 pandemic was tested as a mediator of the impact of psychological wellbeing on sleep quality. Third, dispositional rumination, mindfulness, and worry were compared as moderators of the impact of psychological wellbeing on sleep quality. Fourth, a moderated mediated model was tested for each moderator. Online survey data was collected from 153 adults in the United States. Results demonstrated that coping with the COVID-19 pandemic partially mediated the impact of psychological wellbeing on sleep quality. Worry, but not rumination or mindfulness, moderated the impact. A moderated mediation model failed to demonstrate significance, indicating that the data are best represented by distinct mediation and moderation models. Thus, interventions aimed at improving sleep quality should prioritize concurrent reduction in worry and increase in resilience-based coping strategies. This study provides practical and theoretical contribution to the literature by demonstrating relationships between key variables and contextualizing how the model can be used for assessments and interventions during widespread crises.
本研究评估了在 COVID-19 大流行期间心理健康对睡眠质量的影响。一个新的实证模型检验了中介和调节这种影响的变量。首先，建立了 COVID-19 大流行期间心理健康与睡眠质量之间的关系。其次，测试了基于韧性的应对策略与 COVID-19 大流行之间的关系，作为心理健康对睡眠质量影响的中介。第三，将特质性沉思、正念和担忧作为心理健康对睡眠质量影响的调节因素进行了比较。第四，对每个调节因素进行了调节中介模型检验。该研究从美国的 153 名成年人中收集了在线调查数据。结果表明，应对 COVID-19 大流行部分中介了心理健康对睡眠质量的影响。担忧而不是沉思或正念调节了这种影响。调节中介模型未显示显著意义，表明数据最好由独立的中介和调节模型来表示。因此，旨在改善睡眠质量的干预措施应优先考虑同时减少担忧和增加基于韧性的应对策略。本研究通过演示关键变量之间的关系，并将模型如何在广泛的危机期间用于评估和干预进行情境化，为文献提供了实践和理论贡献。
