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ORIGINAL RESEARCH article

Front. Psychol.
Sec. Mindfulness
Volume 15 - 2024 | doi: 10.3389/fpsyg.2024.1476197
This article is part of the Research Topic The Interplay of Stress, Health, and Well-being: Unraveling the Psychological and Physiological Processes - Volume II View all 27 articles

Associations between mindfulness and non-restorative sleep： the roles of resilience and handgrip

Provisionally accepted
Shuhan Li Shuhan Li 1Yingting Jiang Yingting Jiang 1Zhenrong Shen Zhenrong Shen 1Yuan Liao Yuan Liao 1Yihao Zeng Yihao Zeng 1Zengjie Ye Zengjie Ye 2*
  • 1 Guangzhou University of Chinese Medicine, Guangzhou, China
  • 2 Guangzhou Medical University, Guangzhou, Guangdong Province, China

The final, formatted version of the article will be published soon.

    Aim: This study examined the mediating role of resilience and the moderating role of grip strength (handgrip) in the relationship between mindfulness and non-restorative sleep (NRS) and evaluated the non-linear association between mindfulness and NRS among university freshmen students. Design: This is a cross-sectional descriptive study. Method:A total of 384 university students were recruited from Be Resilient to Nursing Career (REDACTED) from two universities in June 2022. The Mindful Attention Awareness Scale, 10-item Connor-Davidson Resilience Scale, Non-restorative Sleep Scale, and handgrip were administered. Latent profile analysis, moderated mediation analysis, and generalized additive model analysis were performed. Results: The following three subgroups were identified through the latent profile analysis: low mindfulness (21%), medium mindfulness (49.4%), and high mindfulness (29.6%). While the significant mediating role of resilience between mindfulness and NRS was confirmed (SE=0.041, P ＜0.05), the moderating role of handgrip was not statistically significant. A non-linear relationship was verified between mindfulness and NRS.

    Keywords: mindfulness, resilience, Non-restorative sleep, Handgrip, moderated mediation analysis, Generalized additive model analysis

    Received: 07 Aug 2024; Accepted: 12 Dec 2024.

    Copyright: © 2024 Li, Jiang, Shen, Liao, Zeng and Ye. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Zengjie Ye, Guangzhou Medical University, Guangzhou, 510170, Guangdong Province, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.