Skip to main content

ORIGINAL RESEARCH article

Front. Public Health, 13 October 2022
Sec. Public Mental Health
This article is part of the Research Topic Community Series in the Consequences of COVID-19 on the Mental Health of Students - Volume II View all 40 articles

Sleep quality and creativity in Chinese college student during the COVID-19 pandemic: The mediating role of executive function

\nBotang Guo&#x;Botang Guo1Yue Song&#x;Yue Song2Lu Zhao&#x;Lu Zhao3Xinhui ChengXinhui Cheng1Hanze MaHanze Ma1Xiaohui QiuXiaohui Qiu1Xiuxian YangXiuxian Yang1Zhengxue QiaoZhengxue Qiao1Erying ZhaoErying Zhao1Tianyi BuTianyi Bu1Jiarun YangJiarun Yang4Rupam MishraRupam Mishra1Yanjie Yang
Yanjie Yang1*Jiawei Zhou
Jiawei Zhou1*
  • 1Psychological Science and Health Management Center, Harbin Medical University, Harbin, China
  • 2Department of Student Affairs, Mental Health Education Center, Harbin Normal University, Harbin, China
  • 3Department of Human Resource Management, Health Management College, Harbin Medical University, Harbin, China
  • 4Academy of Educational Sciences, Heilongjiang University, Harbin, China

Background: COVID-19 has impacted adolescents' interpersonal relationships, life attitudes, and mental health during the past 3 years. However, previous studies predominantly focused on negative problems, while few studies assessed the situation of teenagers from the perspective of positive psychology. Therefore, this study explores the creativity level of Chinese college students during the COVID-19 pandemic, the relationship between sleep quality and creativity, and the mediating role of executive function.

Method: A cross-sectional study was conducted across six colleges in Heilongjiang in China, with a sample of 4,258 college students recruited via stratified cluster sampling. Data were collected through an online survey. A mediation model was constructed, and SPSS PROCESS macro was used to analyze the data.

Results: The creativity score of Chinese college students during the COVID-19 pandemic was 106.48 ± 13.61. Correlation analysis demonstrated that sleep quality correlated negatively with creativity (r = −0.08, P < 0.01) but positively with executive function (r=0.45, P < 0.01), whilst executive function correlated negatively with creativity (r = −0.10, P < 0.01). Moreover, the mediation model revealed that executive function partially mediated the relationship between sleep quality and creativity in college students (indirect effect = −0.017, SE = 0.004, 95% CI = [−0.025, −0.008]). Executive function accounted for 48.6% of the variance in college students' creativity.

Conclusion: School administrators should implement measures such as sleep education to enhance students' sleep quality. Concurrently, curriculum and assessment implementation should enhance executive function. Such measures can contribute to improved student creativity, thus helping students overcome the negative emotional impact of the COVID-19 pandemic.

Introduction

The COVID-19 outbreak disrupts people's lives and adversely impacts individuals physical and mental health (1). College students have attracted much attention as a group of interest during the pandemic. Long-term isolation from studying at home impedes college students' social and communication skills development, produces several negative psychological burdens (such as loneliness, anxiety, depression, fear, etc.), and hinders brain and personality development (2). Creativity is the ability to generate novel and useful schemes, ideas, or inventions, and it is of great significance to individual development and social progress (3). Humanism and positive psychology suggest that creativity is closely related to happiness and that creativity is an important means to psychological happiness and self-realization (4). Related research noted that individuals with high creativity during the COVID-19 outbreak cultivated more positive emotions, thus leading to lower perceived stress and better coping with the pandemic's negative effects (5). Hence, enhancing college students' creativity is an effective method to increase psychological adjustment and psychological coping ability (6), which is conducive to enhancing college students' positive emotions to deal with the negative emotions generated during the pandemic.

Studies have shown that sleep correlates with two different types of memory and that this association is fundamental to creativity and problem-solving (7). A survey showed longer bedtimes or wake times, more sleep disorders, and poorer sleep quality compared to the pre-pandemic baseline, albeit individuals' sleep duration increased (8, 9). Studies have shown that adolescents and young adults are the groups whose sleep was most severely affected by the pandemic (8). Distance learning and pandemic prevention and control measures increase college students' screen time while decreasing the frequency of outings and physical activity, which may disturb sleep quality and biological rhythm (10), thereby impeding replenishment of cognitive resources consumed during the day, inhibiting divergent thinking activities and negatively affecting creativity (11). Out of several literature studies, the majority focus on the abnormal psychological state of college students during the pandemic. However, few studies have explored the relationship between sleep status and creativity among college students during the pandemic. Hence this study employs positive psychology to explore whether sleep quality is significantly correlated with college students' creativity during the pandemic period, as well as the potential mechanism of this relationship, in order to provide practical recommendations for college students to cope with negative emotions during the pandemic period.

Sleep quality refers to the overall subjective satisfaction of individuals in sleep activities (12). It is a significant physical and mental resource (13). For students and workers, sleep contributes considerably to the recovery of psychological resources essential for self-regulation (14). According to studies on the ego depletion theory in the context of sleep (15, 16), after individuals complete their daily tasks, their ability to control their resources decreases; conversely, good sleep quality contributes to the restoration of control over resources depleted during daytime work, resulting in more efficient dedication of physical and mental resources to work (17). The creativity component theory posits that individuals express creativity in response to external environmental pressure (18), which can result in resource depletion. Depleted self-control resources may be detrimental to the generation of creative behaviors. High-quality sleep replenishes individuals' self-control resources, enhances their positive emotional experience and thinking fluency, and is conducive to active and creative problem-solving. Conversely, impaired sleep quality negatively impacts psychological, physiological, and brain functions, especially attention and divergent thinking (19). Therefore, we hypothesize that sleep quality is positively correlated with creativity.

Numerous scholars have verified the relationship between sleep quality and creativity, but the underlying mechanisms of this relationship require further exploration. Executive function is a complex cognitive process in which individuals implement targeted behaviors flexibly and coordinate the activities of multiple cognitive subsystems (20), including three major components, namely cognitive flexibility, working memory, and inhibitory control (21). COVID-19 has placed tremendous psychological pressure on people (22), leading to alterations in adolescents' emotions, behaviors, and other daily activities (23, 24). Studies have shown that chronic and acute stress affect individual cognitive processes controlled by the prefrontal cortex (PFC) (25), thereby impacting processes and functions within the executive system, including working memory, emotional self-regulation, cognitive flexibility, etc. (26). Sleep quality can have a major impact on the neural activity of the prefrontal cortex; hence sleep conditions may affect executive function.

Numerous cross-sectional studies have examined the relationship between sleep problems such as insufficient sleep duration and sleepiness in adolescents and academic performance, mental health, and cognitive functioning, and reported significant correlations between the two (27, 28).

In individuals who continuously engage in highly energy-consuming behaviors, timely replenishment of their resources is not achieved, causing a decline in executive functions; as a result, such individuals engage in shallow cognitive processing (29). Harrison and Home found that the executive function of the sleep-deprived group was significantly lower than that of the control group (30). Another study also confirmed that sleep deprivation affected executive function, wherein increasing sleep deprivation correlated with worsening task performance (31). A study examining the effects of working memory in adolescents following sleep deprivation demonstrated that sleep restriction for 5 consecutive days significantly decreased response speed in working memory tests. Concurrently, fMRI revealed brain function inhibition similar to that observed with complete sleep deprivation (32). Therefore, sleep quality may correlate positively with executive function.

Research shows that executive function is essential for generating creative thinking (33, 34). According to Norlander et al., the prefrontal cortex plays a central role in creativity (35). Thus, executive function and creative thinking share a common biological basis and are closely related (36). Benedek et al. demonstrated a positive correlation of creativity with cognitive control, whereby flexible adjustment of cognitive control contributes to creative performance (37). The literature also provides evidence that inhibition positively correlates with divergent thinking (38). Other studies have shown that individuals with high working memory ability are more likely to successfully overcome external interference and generate new ideas and strategies in creative thinking tasks (39). Vananina and Ansburg experimentally found that interfering information processing tasks (Hick task) were negatively related to creative potential, whereas for tasks requiring the suppression of interfering information (negative priming task and overall priority task), reaction times correlated positively with creativity (40, 41). Therefore, individual executive function enhancement can broaden creative thinking ability, enabling college students to improve their psychological coping ability in the face of pandemic changes, thereby ameliorating their physical and mental health. Therefore, we hypothesized that executive function is positively correlated with creativity and that executive function mediates the relationship between sleep quality and creativity.

The present study

Based on the literature review, this study proposed the following hypotheses (Figure 1):

Hypothesis 1. Sleep quality is negatively correlated with the creativity level of college students.

Hypothesis 2. Executive function is positively correlated with sleep quality and negatively correlated with creativity.

Hypothesis 3. Executive function mediates the relationship between sleep quality and creativity.

FIGURE 1
www.frontiersin.org

Figure 1. The hypothetical conceptual model.

Methods

Participants and procedure

In December 2021, an online questionnaire survey was conducted among 4,500 college students from six universities in Heilongjiang Province, China, using a random cluster sampling method. Before the survey, consent was obtained from all participating college students. 4,258 valid questionnaires were collected (Mage = 19.88, SDage = 1.87, Rangeage = 17–26) for completion of the anonymous survey, with an effective rate of 94.62%. The survey included questions on demographic variables, sleep quality, executive function, and creativity levels. Among the total samples, 1,736 (40.8%) were male students, and 2,522 (59.2%) were female students. There were 2,367 (55.6%) single-child and 1,891 (44.4%) non-single-child family participants.

The online questionnaire used in this study contained uniform instructions to protect the informed consent of the subjects and ensure confidentiality of the content so as to improve the authenticity of the participants' responses. The survey system was set up prior to the survey. To preserve the accuracy of survey results, the questionnaire could only be filled in and submitted once from the same IP address to prevent multiple submissions by the same respondent. After the questionnaire was collected, the questionnaires with logical inconsistencies and evident irregularities were removed while valid questionnaires were retained.

Measures

Sleep quality

The sleep quality of college students was measured using the self-rating sleep status scale (42). High total scores indicated poorer sleep quality. The scale consists of 10 items, divided into 5 grades. Participants rated each item on a five-point scale that ranged from one (never) to five (always). Chinese researchers recognize the self-rating sleep status scale as possessing good reliability and validity (4345). In this study, Cronbach's α = 0.863, and the confirmatory factor analysis results (χ2/df = 90.511, CFI = 0.985, TLI = 0.924, RMSEA = 0.045) were within the acceptable range.

Executive function

The adolescent executive function scale was used as a measurement tool (46). The scale was composed of 21 items divided into 3 grades, with Cronbach's α = 0.972. The total score was the sum of each item's score. High total scores were indicative of subpar executive function; conversely, low total scores indicated better executive function. The reliability and validity of this scale have been authenticated by Chinese researchers (47, 48). Confirmatory factor analysis results (χ2/df = 46.859, CFI = 0.871, TLI = 0.857, RMSEA = 0.048) were within the acceptable range.

Creativity

The creativity of college students was measured with the Williams Creativity Tendency Scale (49). High total scores indicated a higher propensity for creativity. Total scores of more than 135 points, 120–134 points, 90–119 points, and less than 90 points represent excellent, good, average, and poor creativity, respectively. This scale consists of 50 items, each graded between 1 (completely inconsistent) to 3 (completely consistent), Cronbach's α = 0.972. The reliability and validity of this scale have been demonstrated in studies on college students in China (50, 51). Confirmatory factor analysis results (χ2/df = 129.73, CFI = 0.973, TLI = 0.940, RMSEA = 0.025) were within the acceptable range.

Data analysis

All analyses were performed using SPSS 26.0 software. Analytic methods included descriptive statistics, regression analysis, correlation analysis, etc., and PROCESS macro analysis (Model 4) was employed to assess the mediating effect of executive function. The sample size in the model was set as 5,000, and the confidence interval (CI) was set as 95%. If the confidence interval did not contain zero, the effect was significant, and vice versa.

Results

Preliminary analysis

In this study, the average score generated by 4,258 students was (106.48 ± 13.61), which was representative of average creativity level. 107 (2.5%) participants had excellent creativity, 705 (16.6%) had average creativity, 3,217 (75.6%) had good creativity, and 229 (5.4%) had poor creativity. Descriptive analysis revealed that the creativity level of college students varies with age, single-child family status, registered residence, and subjective socioeconomic status (P < 0.05). See Table 1.

TABLE 1
www.frontiersin.org

Table 1. Basic situation and creativity score of college students.

Correlation analysis

The sleep quality score was (20.95 ± 6.27), the executive function score was (34.57 ± 9.18), and the creativity score was (106.48 ± 13.61). Correlation analysis showed that sleep quality was negatively correlated with creativity (r = −0.08, P < 0.01) but correlated positively with executive function (r = 0.45, P < 0.01), while executive function was negatively correlated with creativity (r = −0.10, P < 0.01). Specific results are shown in Table 2.

TABLE 2
www.frontiersin.org

Table 2. Correlations among variables.

Testing for mediation effect

Our results showed that sleep quality was negatively correlated with creativity (β = –0.035, t = –5.291, P < 0.001) and that the better the quality of sleep, the higher the level of creativity, supporting hypothesis 1. Process model 4 was used to test hypotheses 2&3, according to which executive function would mediate the relationship between sleep quality and creativity. As shown in Table 3, sleep quality was significantly positively correlated with executive function (β = 0.316, t = 33.228, P < 0.001) and significantly negatively correlated with creativity (β = –0.053, t = –4.952, P < 0.001), which implies that better executive function pairs with higher creativity level in college students. Executive function partially mediates the relationship between sleep quality and creativity (indirect effect = −0.017, SE = 0.004, 95% CI= [−0.025, −0.008]), accounting for 48.6% of the total effect value (see Table 4). This supports the validity of hypotheses 2 and 3. The final confirmed mediation model was seen in Figure 2.

TABLE 3
www.frontiersin.org

Table 3. Summary of hierarchical regression analyses predicting creativity.

TABLE 4
www.frontiersin.org

Table 4. Direct and indirect effects of sleep quality on creativity.

FIGURE 2
www.frontiersin.org

Figure 2. The confirmed mediation model.

Discussion

Relevance of study results

The theory of two continuous models and the tenets of positive psychology posit that individuals also manifest positive changes when confronted with adversity (52, 53). Findings from this study aim to complement positive psychology reports on the physical and mental health of adolescents impacted by COVID-19. Firstly, we observed that the creativity level of Chinese adolescents during the pandemic was very low. Secondly, we found a significant correlation between sleep quality and creativity. Lastly, the executive function was identified as a mediator of this relationship.

The Chinese college students surveyed in this pandemic period study obtained medium creativity scores. Significant differences existed across individuals based on the comparison of creativity by grade, single-child status, household registration location, and subjective socioeconomic status. However, there was no significant difference across genders. As students progress in their studies, their development may be inhibited by practical considerations, resulting in lower creativity (54). Individuals from single-child households grow up with high-quality educational resources in an environment conducive to self-development. More opportunities to develop their creative potential are available to them than to individuals with siblings; hence, the former possess superior creative tendencies (55). In addition, there are significant geographical differences in the creativity levels of college students, whereby urban students are more creative than rural students. This indicates that the allocation of educational resources in China is uneven, while the environment strongly influences the development of creativity (56). There are also differences in the creativity of college students based on subjective socioeconomic status. In families with high socioeconomic status, parents are more educated, show more respect and understanding toward their children, often communicate with them, and allow them to express their own opinions, which facilitates the development of creativity (57). Conversely, families with low socioeconomic status experience more economic hardship, and family stress theory suggests that family economic stress increases parents' psychological stress, which leads to poor parenting behaviors such as low warmth and harsh punishment, which are not conducive to the development of creativity (58).

Sleep quality was found to be significantly negatively correlated with creativity. Poorer sleep quality in college students was associated with worsening creativity, consistent with previous research conclusions (5961). According to the complementary learning system model, problem-related memories are transferred to the neocortex during sleep. When confronted with the problems again after sleep, neocortex activity is stronger while hippocampus activity is weakened, and memory reorganization is manifested in behavior, such that creative problem-solving ability is improved after sleep (62). According to the self-control depletion model, individuals will consume self-control resources when completing daily behavioral tasks, and lack of sleep hinders recovery of the consumed resources, thereby affecting the enthusiasm and creativity of individuals during daytime behavioral activities, resulting in a vicious cycle (13). High-quality sleep increases creativity by boosting individuals' willingness to invest resources and take risks when proposing new and useful ideas (17). The COVID-19 outbreak brought consequential disruptions to college students' daily life as remote studying from home became imperative (63). Among undergraduates with less constraint, there is a possibility of developing addictions to network gaming or entertainment programs which consume a large amount of physical and mental resources over time, thus affecting sleep patterns and quality (64), resulting in reduced daytime distribution of physical and mental resources. The inability to generate positive emotions to expand and regain self-control resources negatively impacts psychological (19), physiological and brain functions, especially attention and divergent thinking. The resulting reduction in the mental agility of college students during creative activities prevents them from reaching their full creative potential (11).

This study also examined the mediating role of executive function in sleep quality and creativity in college students. The results demonstrated a significant positive correlation between sleep quality and executive function as well as a significant negative correlation between executive function and creativity. Executive function partially mediated the relationship between sleep quality and creativity. A decline in sleep quality impedes replenishment of the individual's limited resources, thereby weakening inhibition ability and executive function in learning and life while reinforcing superficial cognitive processing (29). Studies have shown that short-term sleep deprivation can interfere with normal prefrontal cortex function (65, 66), while prefrontal cortex development is essential for the development of executive function (67, 68). Therefore, executive function is remarkably sensitive to alterations in sleep quality.

Although distance learning and pandemic prevention and control measures have provided increased opportunities for improving sleep quality, college students' prolonged video screen time and reduced outdoor activities may disrupt sleep quality and biorhythm (8), resulting in decreased cognitive flexibility during daytime activities, reduced ability to control thoughts and actions, and weakened creative thinking.

Creative thinking necessitates the contribution of executive function. These mental processes are related to the activity of the prefrontal cortex (36, 69). Neuroscience research also reveals involvement of the frontal lobe, posterior brain regions (70), and subcortical structures (71) in the creative process. Reduced executive function decreases thinking flexibility, weakens self-regulation and self-control, and limits the generation of novel ideas. Limitations in problem-solving capacity reduce creativity to a certain extent (72). During the pandemic, college students faced pressure from a disrupted pace of life with irregular work, rest hours, and sleep quality. This new irregularity impacts college students' remote learning, capacity for self-regulation and self-control, and thinking flexibility. Consequently, students become prone to negative emotions, with less incentive to partake in creative activities. Such students are also at risk of psychological disorders due to the strain on mental health during the pandemic. Creativity and executive function share a common physiological basis, and the development of creativity requires the strengthening of prefrontal cortex function. Impaired executive function can affect the performance of college students for tasks dependent on creativity (73). Working memory is an important component of executive function, and research indicates that sleep quality and working memory are interconnected (74). Research on rapid eye movement (REM) sleep and non-rapid eye movement (non-REM) sleep indicates that the REM sleep stage is principally responsible for memory reorganization by enhancing inter-memory connections and generating new connections, while the non-REM sleep stage contributes to rule extraction, formation of relational memory and memory integration, thereby complementing memory reorganization (75). During the pandemic, college students' sleep patterns were disrupted, and both REM and non-REM sleep were adversely affected to varying degrees; thus, executive function and creative problem-solving were impaired.

Implications

This study expanded our understanding of the impact of sleep quality on college students' creativity in the face of public health emergencies by linking sleep quality to creativity. Unlike previous studies conducted in a controlled setting, data collection in this study occurred during the COVID-19 pandemic; hence, the results are more reflective of the real world. Furthermore, the present study analyzed the mediating role of executive functioning among college students. The results revealed that poor sleep quality affects executive function and negatively impacts students' creativity.

Applying measures based on the relationship between these three variables may enable teachers and school administrators to foster students' creativity and mental health more efficiently after the pandemic. Varying degrees of negative emotions in students seem inevitable after an pandemic stretching beyond 2 years. At such times, sleep education for college students should be enhanced, while curricula should pay attention to executive function training such that students can improve their adaptive skills, nurture their creativity and achieve more significant personal development.

Limitations and future direction

Although all the hypotheses in this study have been verified, this study also contains limitations. Firstly, this study adopts a self-report method for the questionnaire survey. In the future, in addition to self-reports, other methods of data collection, such as evaluation of others, could be adopted to reduce deviation caused by a single research method. Secondly, this study adopted a cross-sectional research method which precludes the determination of a causal relationship between variables. Therefore, alternate methods such as longitudinal tracking should be applied in subsequent studies.

Conclusion

In conclusion, this study revealed that Chinese college students' creativity level was average during the COVID-19 pandemic. This suggests that a joint contribution from educational institutions, families, and individuals may be warranted to improve the creativity level of college students during the pandemic. First and foremost, schools should be attentive to the sleep quality and mental health status of students compelled to study from home during the pandemic, adequately schedule time for learning and extracurricular activities, reinforce sleep education, ameliorate the psychological support system, and promptly intervene to treat students with serious psychological problems. Concurrently, educational institutions should train students' executive function via appropriate curricula and assessment measures. Furthermore, college students should adjust their mentality, sufficiently engage in outdoor sports, develop regular work and rest habits, and enhance their psychological coping ability by establishing and cultivating intimate relationships and maintaining emotional connections, with the aim of maintaining a state of good mental health.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving human participants were reviewed and approved by the Ethics Committee of Harbin Medical University. The patients/participants provided their written informed consent to participate in this study.

Author contributions

BG, YS, and LZ wrote the main manuscript text. XC and HM prepared figures and tables. YY and JZ supervised the manuscript. XY, XQ, and ZQ investigated data. EZ and TB rewrote the manuscript. BG, JY, and RM revised the manuscript. All authors reviewed the manuscript. All authors contributed to the article and approved the submitted version.

Funding

This research was funded by the National Natural Science Foundation of China (81903397) and the Heilongjiang Province Key Cultivation Think Tanks.

Acknowledgments

The authors express their thanks to the individuals who volunteered to participate in this study. We are also grateful to Prof. Ming Fang and Yanjuan Zhou of Harbin Medical University for their assistance in collecting data. We would like to thank the eight hospitals involved in the investigation for their cooperation.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

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.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpubh.2022.987372/full#supplementary-material

References

1. Ye B, Zhou X, Im H, Liu M, Yang Q. Epidemic rumination and resilience on college students' depressive symptoms during the COVID-19 pandemic: the mediating role of fatigue. Front Public Health. (2020) 8:560983. doi: 10.3389/fpubh.2020.560983

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Chen L, Cheng R, Hu B. The effect of self-disclosure on loneliness in adolescents during COVID-19: the mediating role of peer relationships. Front Psychiatry. (2021) 12:710515. doi: 10.3389/fpsyt.2021.710515

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Marks ADG, Sobanski DJ, Hine DW. Do dispositional rumination and/or mindfulness moderate the relationship between life hassles and psychological dysfunction in adolescents? Aust NZ J Psychiatry. (2010) 44:831. doi: 10.3109/00048674.2010.487478

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Acar S, Tadik H, Myers D, Van der Sman C, Uysal R. Creativity and well-being: a meta-analysis. J Creative Behav. (2021) 55:738–51. doi: 10.1002/jocb.485

CrossRef Full Text | Google Scholar

5. Fiori M, Fischer S, Barabasch A. Creativity is associated with higher well-being and more positive COVID-19 experience. Pers Ind Diff. (2022) 194:111646. doi: 10.1016/j.paid.2022.111646

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Russ SW. Affect, Creative Experience, and Psychological Adjustment. Oxford: Taylor and Francis (2015).

Google Scholar

7. Paller KA, Creery JD, Schechtman E. Memory and sleep: how sleep cognition can change the waking mind for the better. Annu Rev Psychol. (2020) 72:123–50. doi: 10.1146/annurev-psych-010419-050815

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Kuula L, Pesonen A, Heinonen K, Kajantie E, Eriksson JG, Andersson S, et al. Naturally occurring circadian rhythm and sleep duration are related to executive functions in early adulthood. J Sleep Res. (2018) 27:113–9. doi: 10.1111/jsr.12581

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Marelli S, Castelnuovo A, Somma A, Castronovo V, Mombelli S, Bottoni D, et al. Impact of COVID-19 lockdown on sleep quality in university students and administration staff. J Neurol. (2021) 268:8–15. doi: 10.1007/s00415-020-10056-6

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Ji X, Saylor J, Earle FS. Sufficient sleep attenuates covid-19 pandemic-related executive dysfunction in late adolescents and young adults. Sleep Med. (2021) 12:21–4. doi: 10.1016/j.sleep.2021.06.027

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Harrison Y, Horne JA. One night of sleep loss impairs innovative thinking and flexible decision making. Organ Behav Hum Decis Process. (1999) 78:128–45. doi: 10.1006/obhd.1999.2827

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Harvey AG, Kathleen S, Whitaker KL, Damian M, Harvinder V. The subjective meaning of sleep quality: a comparison of individuals with and without insomnia. Sleep. (2008) 31:383. doi: 10.1093/sleep/31.3.383

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Inga J, Nägel Sabine S. Exercise and sleep predict personal resources in employees' daily lives. Appl Psychol Health Well-Being. (2014) 5:348–68. doi: 10.1111/aphw.12014

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Barnes CM, Lucianetti L, Bhave DP, Christian MS. You wouldn't like me when i'm sleepy: leader sleep, daily abusive supervision, and work unit engagement. Acad Manage J. (2015) 58:1419–37. doi: 10.5465/amj.2013.1063

CrossRef Full Text | Google Scholar

15. Baumeister RF, Muraven M, Tice DM. Ego depletion: a resource model of volition, self-regulation, and controlled processing. Soc Cognit. (2000) 18:130–50. doi: 10.1521/soco.2000.18.2.130

CrossRef Full Text | Google Scholar

16. Brown D, Lian, H, Ferris D. Self-control at work. Acad Manag Ann. (2017) 11:1227–77. doi: 10.5465/annals.2015.0126

CrossRef Full Text | Google Scholar

17. Christian MS, Ellis AP. Examining the effects of sleep deprivation on workplace deviance: A self-regulatory perspective. Acad Manage J. (2011) 54:913–34. doi: 10.5465/amj.2010.0179

CrossRef Full Text | Google Scholar

18. Amabile TM, Pratt MG. The dynamic componential model of creativity and innovation in organizations: making progress, making meaning. Res Org Behav. (2016) 36:157–83. doi: 10.1016/j.riob.2016.10.001

CrossRef Full Text | Google Scholar

19. Baas M, Dreu CKW, Nijstad BA. A meta-analysis of 25 years of mood-creativity research: hedonic tone, activation, or regulatory focus? Psychol Bullet. (2008) 134:779–806. doi: 10.1037/a0012815

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Carpenter PA, Just MA, Reichle ED. Working memory and executive function: evidence from neuroimaging. Curr Opin Neurobiol. (2000) 10:195–199. doi: 10.1016/S0959-4388(00)00074-X

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Miyake A, Friedman NP, Emerson MJ, Witzki AH, Howerter A, Wager TD, et al. The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: a latent variable analysis. Cogn Psychol. (2000) 41:49–100. doi: 10.1006/cogp.1999.0734

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Li D, Gang Z. Psychological interventions for people affected by the COVID-19 epidemic. Lancet Psychiatry. (2020) 7:300–2. doi: 10.1016/S2215-0366(20)30073-0

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Chen Q, Liang M, Li Y, Guo J, Fei D, Wang L. Mental health care for medical staff in china during the covid-19 outbreak. Lancet Psychiatry. (2020) 7:E15–6. doi: 10.1016/S2215-0366(20)30078-X

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Yang Y, Li W, Zhang Q, Zhang L, Xiang YT. Mental health services for older adults in china during the covid-19 outbreak. Lancet Psychiatry. (2020) 7:E15–6. doi: 10.1016/s2215-0366(20)30079-1

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Park J, Moghaddam B. Impact of anxiety on prefrontal cortex encoding of cognitive flexibility. Neuroscience. (2016) 345:193–202. doi: 10.1016/j.neuroscience.2016.06.013

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Sánchez M, Lavigne R, Romero JF, Elósegui E. Emotion regulation in participants diagnosed with attention deficit hyperactivity disorder, before and after an emotion regulation intervention. Front Psychol. (2019) 10:1092. doi: 10.3389/fpsyg.2019.01092

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Dewald JF, Meijer AM, Oort FJ, Kerkhof GA, Bgels SM. The influence of sleep quality, sleep duration and sleepiness on school performance in children and adolescents: a meta-analytic review. Sleep Med Rev. (2009) 14:179–89. doi: 10.1016/j.smrv.2009.10.004

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Yang KI, Hyun KJ, Young H, Lim KD, Daeyoung K, Jin HK, et al. Prevalence of self-perceived snoring and apnea and their association with daytime sleepiness in Korean high school students. J Clin Neurol. (2017) 13:265. doi: 10.3988/jcn.2017.13.3.265

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Hagger MS, Wood C, Stiff C, Chatzisarantis LD. Ego depletion and the strength model of self-control: a meta-analysis. Psychol Bullet. (2010) 136:495–525. doi: 10.1037/a0019486

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Harrison Y, Horne J. Sleep loss impairs short and novel language tasks having a prefrontal focus. J Sleep Res. (2010) 7:95–100. doi: 10.1046/j.1365-2869.1998.00104.x

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Killgore W. Effects of sleep deprivation on cognition. Prog Brain Res. (2010) 185:105–29. doi: 10.1016/B978-0-444-53702-7.00007-5

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Jiang F. Effect of chronic sleep restriction on sleepiness and working memory in adolescents and young adults. J Clin Exp Neuropsychol. (2011) 33:892–900. doi: 10.1080/13803395.2011.570252

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Benedek, M., Jauk, E., Sommer, M., Arendasy, M., and Neubauer, A. C. Intelligence, creativity, and cognitive control: the common and differential involvement of executive functions in intelligence and creativity. Intelligence. (2014) 46:73–83. doi: 10.1016/j.intell.2014.05.007

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Benedek M, Könen T, Neubauer AC. Associative abilities underlying creativity. Psychol. Aesth. Creativity Arts. (2012) 6:273–81. doi: 10.1037/a0027059

CrossRef Full Text | Google Scholar

35. Norlander T. Conceptual convergence in creativity: incubation and brain disease state. Creativity Res. J. (2001) 13:329–33. doi: 10.1207/S15326934CRJ1334_10

CrossRef Full Text | Google Scholar

36. Csikszentmihalyi M, Wolfe R. New conceptions and research approaches to creativity: implications of a systems perspective for creativity in education. Systems Model Creativity. (2014) 01:161–84. doi: 10.1007/978-94-017-9085-7_10

CrossRef Full Text | Google Scholar

37. Benedek M, Franz F, Heene M, Neubauer AC. Differential effects of cognitive inhibition and intelligence on creativity. Pers Ind Diff. (2012) 53:480–5. doi: 10.1016/j.paid.2012.04.014

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Golden CJ. The measurement of creativity by the stroop color and word test. J Pers Assessment. (1975) 39:502–6. doi: 10.1207/s15327752jpa3905_9

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Lee CS, Therriault DJ. The cognitive underpinnings of creative thought: a latent variable analysis exploring the roles of intelligence and working memory in three creative thinking processes. Intelligence. (2013) 31:306–20. doi: 10.1016/j.intell.2013.04.008

CrossRef Full Text | Google Scholar

40. Ansburg PI, Hill K. Creative and analytic thinkers differ in their use of attentional resources. Pers Ind Diff. (2003) 34:1141–1152. doi: 10.1016/S0191-8869(02)00104-6

CrossRef Full Text | Google Scholar

41. Vartanian O, Martindale C, Kwiatkowski J. Creative potential, attention, and speed of information processing. Pers Indi Diff. (2007) 43:470–1480. doi: 10.1016/j.paid.2007.04.027

CrossRef Full Text | Google Scholar

42. Jianming L. Seff–rating scale of sleep (SRSS). China J Health Psychol. (2012) 20:1851. doi: 10.3969/j.issn.1005-1252.2000.03.058

CrossRef Full Text

43. Yang B, Yang Y, Wang X, University HU. College freshmen sleeping quality and mental health during the drill. China J Health Psychol. (2014). 5:771–773. doi: 10.13342/j.cnki.cjhp.2014.05.052

CrossRef Full Text

44. Zhang CH, Wen XX, Wen ZH. Study on relationship between Guangdong provincial nurses' psychological stress and sleep status under COVID-19 epidemic. Chin Manip Rehab Med. (2021) 12:48–50. doi: 10.19787/j.issn.1008-1879.2021.02.014

CrossRef Full Text

45. Pei-Fen MA, Shi HM, Jin L, Yang KJ. The correlational of nurses' sleep quality and anxiety in ICU of 3a-level hospital. J Nursing Admin. (2013). 13:176–178. doi: 10.3969/j.issn.1671-315X.2013.03.010

CrossRef Full Text

46. Huang CHTYWL. Development of adolescent executive function scale. Chin J Behav Med Brain Sci. (2014) 23:463–465. doi: 10.3760/cma.j.issn.1674-6554.2014.05.025

CrossRef Full Text | Google Scholar

47. Xu W, Zhang Y, Zhou L, Hua J, School E, University Z, et al. Influence of physical fitness on academic achievement in adolescents: evidences from a longitudinal study. J Beijing Sport Univ. (2018) 41:70–6. doi: 10.19582/j.cnki.11-3785/g8.2018.07.010

CrossRef Full Text

48. Zhang YQ, Guo C, Liu XH, Zhang X, Zhang X. Perceived stressful life events and resilience in junior high school students: the mediating role of executive functions. J Southwest Univ. (2018) 40:140–5. doi: 10.13718/j.cnki.xdzk.2018.12.022

CrossRef Full Text

49. Liu XL, Liu L, Qiu YX, Jin Y, Zhou, J. Reliability and validity of Williams creativity assessment packet. J Schooling Stu. (2016) 13:51–8. doi: 10.3969/j.issn.1005-2232.2016.03.007

CrossRef Full Text

50. Tian HW. Cultivating undergraduate creativity–a demonstration research on undergraduate subjectivity. J Inst Water Conserv Hydroelect Power. (2009) 25:84–6. doi: 10.3969/j.issn.1008-4444.2009.02.029

CrossRef Full Text

51. Tang SCDBY. Cultivation of innovative ability of nursing undergraduates based on maker model. J Nursing. (2020) 27:6–9. doi: 10.16460/j.issn1008-9969.2020.17.006

CrossRef Full Text

52. Westerhof GJ, Keyes CLM. Mental illness and mental health: the two continua model across the lifespan. J Adult Dev. (2010) 17:110–9. doi: 10.1007/s10804-009-9082-y

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Ssabc D, Ela B, Yl A, Tr A, Ssa B. Mental health interventions and supports during COVID-19 and other medical pandemics: a rapid systematic review of the evidence. General Hospital Psychiatry. (2020) 66:133–46. doi: 10.1016/j.genhosppsych.2020.08.007

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Zhang L. Social creativity and entrepreneurial intentions of college students: mediated by career adaptability and moderated by parental entrepreneurial background. Front Psychol. (2022) 13:893351. doi: 10.3389/fpsyg.2022.893351

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Yang J, Hou X, Wei D, Wang K, Li Y, Qiu J, et al. Only-child and non-only-child exhibit differences in creativity and agreeableness: evidence from behavioral and anatomical structural studies. Brain Imaging Behav. (2017) 11:493–502. doi: 10.1007/s11682-016-9530-9

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Zheng XY, Wang QY, Zhang X, Wang TY. Study on college students' creativity development: based on survey and analysis of students from Beijing university of chemical technology. Tsinghua J Edu. (2013). 34:121–124. doi: 10.3969/j.issn.1001-4519.2013.04.019

CrossRef Full Text

57. Mauricio CV, Nicole BG, Laura JC, Alejandro AM, Christian AO. Does socioeconomic status influence student creativity? Thinking Skills Creativity (2018) 29. (2018) 142–52. doi: 10.1016/j.tsc.2018.07.005

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Jankowska DM, Maciej K. Family factors and development of creative thinking. Pers Ind Diff. (2018). 142:202–6. 202–6. doi: 10.1016/j.paid.2018.07.030

CrossRef Full Text | Google Scholar

59. Guohong HH, Bai DHPYT. Nightmare bosses: the impact of abusive supervision on employees' sleep, emotions, and creativity. J Bus Ethics. (2017) 145:21–31. doi: 10.1007/s10551-015-2859-y

CrossRef Full Text | Google Scholar

60. Los Angeles. Alternating skimpy sleep with sleep marathons hurts attention, creativity in young adults [J].

61. Ritter SM, Strick M, Bos MW, Baaren R, Dijksterhuis AP. Good morning creativity: task reactivation during sleep enhances beneficial effect of sleep on creative performance. J Sleep Res. (2012) 21:643–7. doi: 10.1111/j.1365-2869.2012.01006.x

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Born J, Wilhelm I. System consolidation of memory during sleep. Psychol Res. (2012) 76:192–203. doi: 10.1007/s00426-011-0335-6

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Moreno C, Wykes T, Galderisi S, Nordentoft M, Arango C. How mental health care should change as a consequence of the COVID-19 pandemic. Lancet Psychiatry. (2020) 7:813–24. doi: 10.1016/S2215-0366(20)30307-2

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Benham, G. Stress and sleep in college students prior to and during the COVID-19 pandemic. Stress Health. (2020) 37:504–15. doi: 10.1002/smi.3016

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Jones K, Harrison Y. (2001). Frontal lobe function, sleep loss and fragmented sleep. Sleep Med Rev. 5:463–75. doi: 10.1053/smrv.2001.0203

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Wimmer F, Hoffmann RF, Bonato RA, Moffitt AR. The effects of sleep deprivation on divergent thinking and attention processes. J Sleep Res. (1992) 1:223–30. doi: 10.1111/j.1365-2869.1992.tb00043.x

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Krull KR. Handbook of Developmental Cognitive Neuroscience. Cambridge, MA: The MIT Press (2001).

Google Scholar

68. Zelazo PD, Frye D. Cognitive complexity and control: II the development of executive function in childhood. Curr Directions Psychol. Sci. (1998) 7:121–6. doi: 10.1111/1467-8721.ep10774761

CrossRef Full Text | Google Scholar

69. Keith S. The cognitive neuroscience of creativity: a critical review. Creativity Res J. (2011) 23:137–54. doi: 10.1080/10400419.2011.571191

CrossRef Full Text | Google Scholar

70. Heilman KM, Nadeau SE, Beversdorf DO. Creative innovation: possible brain mechanisms. Neurocase. (2003) 9:369–79. doi: 10.1076/neur.9.5.369.16553

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Dietrich A. The cognitive neuroscience of creativity. Psychono Bullet Rev. (2004) 11:1011–26. doi: 10.3758/BF03196731

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Zabelina DL, Robinson MD. Creativity as flexible cognitive control. Psychol Aesth Creativity Arts. (2010) 4:136–43. doi: 10.1037/a0017379

CrossRef Full Text | Google Scholar

73. Taylo, CL, Zaghi AE, Kaufman JC, Reis SM, Renzulli JS. Characteristics of ADHD related to executive function: differential predictions for creativity-related traits. J. Creative Behav. (2018) 54:350–62. doi: 10.1002/jocb.370

CrossRef Full Text | Google Scholar

74. Weizhen X, Anne B, Cindy L. Poor sleep quality and compromised visual working memory capacity. J Int. Neuropsychol. Soc. (2019) 25:583–94. doi: 10.1017/S1355617719000183

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Lacaux C, Andrillon T, Bastoul C, Idir Y, Fonteix-Galet A, Arnulf I, et al. Sleep onset is a creative sweet spot. Sci Adv. (2021) 7:eabj5866. doi: 10.1126/sciadv.abj5866

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: COVID-19, creativity, sleep quality, executive function, mediation, college student

Citation: Guo B, Song Y, Zhao L, Cheng X, Ma H, Qiu X, Yang X, Qiao Z, Zhao E, Bu T, Yang J, Mishra R, Yang Y and Zhou J (2022) Sleep quality and creativity in Chinese college student during the COVID-19 pandemic: The mediating role of executive function. Front. Public Health 10:987372. doi: 10.3389/fpubh.2022.987372

Received: 06 July 2022; Accepted: 13 September 2022;
Published: 13 October 2022.

Edited by:

Haibo Yang, Academy of Psychology and Behavior, Tianjin Normal University, China

Reviewed by:

Yanhua Xu, Capital Normal University, China
Retno Lestari, University of Brawijaya, Indonesia

Copyright © 2022 Guo, Song, Zhao, Cheng, Ma, Qiu, Yang, Qiao, Zhao, Bu, Yang, Mishra, Yang and Zhou. 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) and the copyright owner(s) 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: Yanjie Yang, eWFuamllMTk2NSYjeDAwMDQwOzE2My5jb20=; Jiawei Zhou, Y2hyaXN0aW5hemhvdSYjeDAwMDQwO3llYWgubmV0

These authors have contributed equally to this work

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.