Sleep and work: The interactive mechanism

The association between trait mindfulness and sleep problems: A three-level meta-analysis

Trait mindfulness has shown potential in relieving the symptoms related to sleep problems, but the relationship between trait mindfulness and sleep problems varies across studies. To explore this association and obtain reliable estimates, a three-level meta-analysis was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach. A comprehensive literature search identified 86 studies involving 87 independent samples and 35,521 participants. A total of 441 effect sizes were analyzed. The study indicated a negative association between trait mindfulness and sleep problems. Furthermore, the meta-analysis revealed significant moderating effects of study design, mindfulness facets, and measurement for trait mindfulness on this relationship. This study suggests that trait mindfulness is closely related to the alleviation of sleep problems. Furthermore, trait mindfulness is vital important in strengthening prevention and intervention measures targeting individuals' sleep problems.

Association between personality characteristics and sleep quality among Chinese middle-aged and older adults: evidence from China family panel studies

BACKGROUND

Poor sleep quality will have adverse effects on physical and mental health, quality of life and other aspects of middle-aged and older adults. Sleep quality is affected by many factors. Whether the sleep quality measures of the participants had changed in the previous or subsequent time period is not easily taken into account. Moreover, there have been no studies on this topic in Chinese middle-aged and older adults. The objective of this study was to mitigate the bias of sleep quality assessment, and analyze the association between personality traits and sleep quality in Chinese middle-aged and older adults.

METHODS

The data came from the China Family Panel Studies (CFPS). A total of 6031 participants aged ≥ 45 years were included in this study. Personality characteristics were evaluated based on the scores of each dimension of Big Five personality traits. Sleep duration and sleep perception were used as indicators to measure sleep quality. Logistic models were used to analyze the relationship between personality traits and sleep duration or sleep perception, respectively.

RESULTS

4.5% of the participants had abnormal sleep duration, and 14.4% had a pessimistic sleep perception. Conscientiousness was rated the highest among the personality traits (3.97 ± 0.6). Participants with higher scores for extraversion personality traits had more normal sleep duration (OR = 0.77, 95% CI: 0.64-0.93) and more optimistic sleep perception (OR = 0.86, 95% CI: 0.76-0.96). Using the Internet and feeling unwell in the past week have a moderating effect on the impact of conscientiousness personality characteristics on sleep duration or sleep perception, respectively (but not overall sleep quality). In addition, participants with a spouse or no recent physical discomfort tended to have a normal sleep duration and a more optimistic sleep perception.

CONCLUSIONS

The higher the score of extraversion personality traits, the better the overall sleep quality of middle-aged and older adults. Having a spouse and feeling unwell were the important factors affecting their sleep quality. Specific personality traits intervention should be carried out for middle-aged and older adults with poor sleep quality to make their personality traits are closer to extraversion. In addition, middle-aged and older adults without spouses should be encouraged to marry or remarry. We will strengthen health management and medical expenditures for middle-aged and older adults.

The Relationship Between Digital Activity and Bedtime, Sleep Duration, and Sleep Quality in Chinese Working Youth

PURPOSE

The study aims to examine whether and how digital activities influence sleep issues among working Chinese youth.

METHODS

This study used data from the China Family Panel Studies (CFPS) a Chinese population-based survey, and employed the multilevel ordinal logistic regression model (MOLRM) to test the associations between digital engagement (whether to engage in digital activity, frequency, and duration) and sleep issues (bedtime, sleep duration, and quality) among Chinese working youth. Additionally, the restricted cubic spline model (RCSM) was adopted to fit the MOLRM to evaluate the nonlinear relationship between digital activity duration and sleep quality, and thus determine the optimal range of digital activity duration.

RESULTS

The analysis included 7849 working young adults. The digital usage rate was 84.11%. Digital use was not significantly associated with average, workday, or free-day sleep duration, after controlling for all potential confounders. However, most digital activity indicators could significantly predict bedtime and sleep quality. Furthermore, the RCSM indicated a non-linear relationship pattern between digital activity duration and sleep quality, with a weekly peak point of 25 h. Age significantly moderated the relationship between digital activity, sleep duration and bedtime. Younger youth who used digital media more frequently and for a longer time tended to sleep later and had shorter sleep duration than older youth.

CONCLUSION

Digital usage significantly predicted later bedtime among Chinese working youth; however, it was not linked with sleep duration on workdays or free days. In parallel, a nonlinear correlation between digital activity duration and sleep quality indicated that appropriate digital activity duration (less than 25 h weekly) may contribute to good sleep quality.

Mobile phone addiction and cognitive failures in daily life: The mediating roles of sleep duration and quality and the moderating role of trait self-regulation

Previous studies have reported well-documented findings that mobile phone addiction (MPA) is associated with negative emotion-related consequences; however, sporadic research has investigated the associations between MPA and cognitive outcomes related to daily cognitive functioning. Sleep duration, sleep quality, and trait self-regulation are thought to be linked to this association. The present study aimed to examine the mediating roles of sleep duration and quality and the moderating role of trait self-regulation between MPA and daily cognitive failures. A total of 1721 secondary school students were recruited to complete four self-reported questionnaires. The model results indicated that sleep quality (but not sleep duration) partially mediated the association between MPA and daily cognitive failures, and high levels of trait self-regulation could attenuate the potential impact of MPA on daily cognitive failures through sleep quality. Overall, these findings address the issue of how and when MPA is linked with cognitive performance in daily life, which can advance a better understanding of the negative consequences induced by MPA. Limitations and implications are discussed.