- 1School of Geography, South China Normal University, Guangzhou, China
- 2College of Resource Environment and Tourism, Capital Normal University, Beijing, China
Purpose: This study used a moderated mediation model to test the mediating effect of general self-efficacy on the relationship between post-traumatic growth (PTG) and creativity and the moderating effect of deliberate rumination in the second path of the indirect mediation path during the COVID-19 pandemic.
Methods: A sample of 881 university students from Guangdong Province, China, was surveyed with the Posttraumatic Growth Inventory, the Runco Ideational Behavior Scale, the General Self-Efficacy Scale, and the Deliberate Rumination Inventory. SPSS (23 version) and PROCESS (3.3 version) were used for correlation analyses, mediation analysis, and moderated mediation analysis.
Results: (1) PTG was positively correlated with creativity, self-efficacy, and deliberate rumination. Creativity was positively correlated with self-efficacy and deliberate rumination. Deliberate rumination was positively correlated with self-efficacy. (2) Self-efficacy mediated the relationship between PTG and creativity. (3) Deliberate rumination moderated the second half of the path of “PTG → self-efficacy → creativity.”
Conclusions: PTG affected creativity directly and also indirectly through self-efficacy. In particular, deliberate rumination moderated the relationship between self-efficacy and creativity, such that the association was stronger when the incidence of deliberate rumination was low. These results provide a more comprehensive understanding of the positive link between PTG and creativity.
Introduction
The coronavirus disease 2019 (COVID-19) spread rapidly and widely worldwide, which had a significant impact on people’s lives (Zhao et al., 2020). For example, a sample survey and analysis of 17,865 posts of active Weibo users found that people’s sensitivity to social risks increased and their life satisfaction decreased during the pandemic (Li et al., 2020). Pandemics and government-mandated measures of quarantine and isolation defined as lockdown have an impact on mental health of general population (Brooks et al., 2020). People suffered from depression, anxiety, insomnia, stress, addiction symptoms, and the persistence of avoidance behaviors due to infection fears, reduced social activities, loss of accessibility to basic necessities, and financial loss during the pandemics (Brooks et al., 2020; Rossi et al., 2020; Grignoli et al., 2021). During the COVID-19 pandemic, a study of 1,210 respondents in China showed that 84.7% spent 20–24 h per day at home and experienced the rates of moderate to severe depression and anxiety of 16.5 and 28.8%, respectively (Wang et al., 2020). In addition, the relatives of COVID-19 patients suffered from high levels of anxiety due to feelings of insecurity and loss of a sense of control (Dorman-Ilan et al., 2020). Most Italian residents had higher levels of distress because of positive cases nearby, the prolonged lockdown and having to relocate (Di Giuseppe et al., 2020). At the same time, people face enormous stressors and spend more time fantasizing, which is an addictive mental behavior associated with psychological dysfunctions (Somer et al., 2020). In summary, individuals have been exposed to varying degrees of threat of injury or death, resulting in numerous psychological problems and instances of post-traumatic stress disorder (PTSD) during the pandemic (Yehuda, 2002; Sun et al., 2020). Therefore, it is essential to understand people’s automatic coping mechanisms in order to respond effectively to the intense stress caused by a pandemic (Di Giuseppe et al., 2020).
The COVID-19 pandemic has also posed a threat to the physical and mental health of Chinese college students, and this has attracted extensive attention from society and academia. Many universities have taken precautionary measures such as closing campuses, postponing internships, and changing to e-learning. College students have generally been anxious because of multiple pressures from the pandemic, their studies and their employment (Cao et al., 2020). For example, a cross-sectional study showed that 50.09% of college students from Guangdong Province, China, reported symptoms of stress (Li X. et al., 2020). A similar study found that the prevalence of mental disorders among 11,954 Chinese college students was as high as 22.8%, and that the stress caused by uncertainty was a risk factor for mental disorders during the pandemic (Wu et al., 2020). In the face of such a devastating public health event, it is necessary to attend to the mental health status of college students and to intervene effectively to improve their ability to avoid mental disorders.
A number of empirical studies have examined the positive effects that traumatic events can have on people (Linley and Joseph, 2004). Tedeschi and Calhoun (1996), in their scientific measurement of the phenomenon of psychological growth after traumatic events, proposed the term post-traumatic growth (PTG) to describe the process by which people re-evaluate traumatic events in order to better understand themselves, others, and the world as they actively adapt to challenging circumstances.
Although some college students from China suffered from PTSD, anxiety, and depressive symptoms during the COVID-19 pandemic, they also sought effective ways to adapt to trauma and adversity (Chi et al., 2020). Researchers have pointed out that PTG is positively correlated with PTSD symptoms (Shakespeare-Finch and Lurie-Beck, 2014; Liu et al., 2016) and that both positive and negative outcomes of traumatic events may occur simultaneously. In the short and long post-traumatic period, PTG can be used as a strategy to alleviate PTSD or as an outcome to be transformed by PTSD (Wu et al., 2018). Furthermore, negative emotions and cognitive deficits caused by traumatic events may impair an individual’s creativity development (Benedek et al., 2014). However, a study that focused on 92 outstanding literary scholars from the Tang and Song dynasties in China showed that an adverse environment can be an important factor in the achievement of highly successful creatives (Yi et al., 2017). Trauma and adversity are conceptually similar in that both involve experiences that are destructive or antagonistic to the individual (American Psychiatric Association, 2013). When individuals use various strategies to solve problems in the face of adversity, cognitive flexibility is likely to increase and provide motivation and opportunities for the development of creativity. Then individuals who experience PTG are able to face traumatic events and life challenges with more positive moods, which will foster creative ideas (Han et al., 2019). Thus, trauma is closely linked to creativity, but until now there exists little empirical research examining this association (Liang et al., 2020). In addition, previous studies focused on only outstanding individuals (Simonton, 1994; Niu and Kaufman, 2005), but few studies have investigated the general population. The relationship between ordinary people’s trauma and creativity is also an important issue.
Research shows that the positive changes generated by PTG include interpersonal relationship, personal strength, mental state, attitude toward life, etc. (Tedeschi and Calhoun, 2004). These positive changes can help individuals to adopt more proactive thinking and coping styles when they experience new negative events. Therefore, we speculate that individuals who experience PTG can improve their general self-efficacy. Though the development of creativity may be a manifestation of PTG, it is also influenced by other factors. Studies have demonstrated that individual self-efficacy is a positive predictor of creativity (Jaiswal and Dhar, 2016; Newman et al., 2018). However, it is worth exploring whether self-efficacy can have a positive impact on the creativity of college students in the face of the immense mental stress caused by their social isolation during the COVID-19 outbreak (Chi et al., 2020).
Furthermore, stressors associated with COVID-19 activated individuals’ rumination mechanisms, which may have an impact on individual creativity. It has been shown that a higher frequency of rumination during the pandemic resulted in more negative emotions and decreased cognitive function (Newman et al., 2018; Ye et al., 2020), which is detrimental to the development of creative thinking. However, individuals can also increase their self-confidence by recalling positive examples through rumination (Bandura, 1997). At the same time, creative ideas and material from life can be obtained through rumination (Forgeard et al., 2020). It has been shown that intrusive rumination is positively correlated with creativity (Wang et al., 2021) and that intrusive rumination may promote deliberate rumination (Kamijo and Yukawa, 2018). Deliberate rumination indicates that individuals cognitively revisit events, reframe and recover their core beliefs, and feel positive changes in several aspects of their lives (Cann et al., 2011). When individuals face traumatic events, high self-efficacy can promote individuals to be more likely to actively recognize and reflect on the problem under the influence of the consciousness of “I can,” that is, to realize deliberate rumination (Andersson et al., 2014). However, there are few researches on the influence of deliberate rumination on the relationship between general self-efficacy and creativity (Binnewies et al., 2009). Thus, deliberate rumination deserves attention as an important factor influencing individual mental health and cognitive development.
In order to enhance the understanding of the changes in creativity of college students during the COVID-19 pandemic, this study explored the relationship between PTG and creativity among college students during that period as well as the mediating role of self-efficacy and the moderating role of deliberate rumination. In the following section, the definitions of these four variables and the relationships between them are presented.
Theoretical Basis and Hypothesis
Relationship Between PTG and Creativity
PTG refers to the positive psychological changes brought about by an individual’s struggle with traumatic events, which does not mean a reduction in the level of psychological distress; rather, the two often coexist (Tedeschi and Calhoun, 2004). It is commonly assessed using indicators such as “new possibilities, relating to others, personal strength, spiritual change, and appreciation of life” (Tedeschi and Calhoun, 1996). Recently, many studies have focused on the predictors of and influences on PTG. For example, it has been shown that optimism, social support, and appropriate cognitive strategies contribute to PTG (Baillie et al., 2014; Pérez-San-Gregorio et al., 2017; Sun et al., 2020). In addition, a number of scholars and practitioners have empirically confirmed the mechanisms of action when different traumatic events have a positive impact on people such as cancer (Sharp et al., 2018), burns (Wiechman Askay and Magyar-Russell, 2009), sexual assault (Frazier et al., 2001), earthquakes (Alamdar et al., 2020), and the death of a loved one (Büchi et al., 2007). Although the possible positive effects of traumatic events have been demonstrated in practice, the exact nature of the predictors and consequences of PTG remain inconclusive (Blackie and Jayawickreme, 2014; Groarke et al., 2017).
Guilford (1950) defined the term creativity as a process of thought and action that produces new and original works, emphasizing the originality and effectiveness of creativity (Runco and Jaeger, 2012). Rhodes (1961) proposed the 4Ps creativity model, which integrates the different aspects of creativity, including person, process, product and process. In the field of social psychological research, Amabile (1988) developed a model of the components of creativity that comprised cognitive, personality, motivational, and social factors including domain-relevant skills, creativity-relevant skills and task motivation. Later, Amabile (1996) revised the model to take into account the working environment. Sternberg and Lubart (1991) developed creativity investment theory, which states that creativity is related to six factors associated with the individual’s psychological mechanisms and environment: intellectual abilities, knowledge, thinking styles, personality, motivation, and environment. Plucker et al. (2004, p. 90), after reviewing 90 articles from high-impact journals, suggested that “creativity is the interaction among aptitude, process, and environment by which an individual or group produces a perceptible product that is both novel and useful as defined within a social context.” However, there is currently no agreed definition of creativity (Treffinger, 2009).
Creativity is an important part of cognitive, social, and emotional activity, and it is often defined in terms of creative products, but creative ideas can also be quantified as creative products, and focusing on the ideas people generate is particularly useful for understanding “everyday creativity” (Runco et al., 2000). The Runco Ideational Behavior Scale, for example, measures creative potential by asking individuals to rate the frequency with which they generate ideas in their everyday experiences (Runco et al., 2000).
A number of studies have examined the influences on an individual’s creativity such as environment, emotions, cognition, stress, goals and motivation (Peterson et al., 2008; Edl et al., 2014; Hu et al., 2015; Du et al., 2020). Peterson et al. (2008) found that the character strength of creativity correlated significantly with PTG (Peterson et al., 2008). It is a pity that creativity was only one of many character strengths included as outcomes in their study, the precise nature of the association between PTG and creativity was not investigated further or explained.
Creative processes involve cognition and self-control (Edl et al., 2014). Traumatic events may impair cognitive processes and cognitive functioning, thus negatively affecting creativity (Paulus et al., 2010). Conversely, an examination of the experiences of 722 Chinese writers in the twentieth century found that those who suffered personal tragedy or political persecution were more likely to win creative awards in their later years (Niu and Kaufman, 2005). Thus, the effects of trauma can be both negative and positive.
PTG can be accompanied by positive psychological changes, i.e., in personal attitudes, awareness, and health behaviors associated with growth (Siegel and Schrimshaw, 2000; Barskova and Oesterreich, 2009). It has been shown that increased creativity may constitute a manifestation of PTG (Forgeard, 2013). During the COVID-19 outbreak, Chinese university students have shown the ability to respond effectively to challenges and experience PTG (Chi et al., 2020). However, the positive changes in the behavior and the cognition of college students experiencing PTG need to be further explored through empirical studies (Liang et al., 2020). In summary, we believe that PTG can have a positive effect on the creativity of college students and propose the following hypothesis:
H1: PTG has a positive correlation with creativity.
The Mediating Role of Self-Efficacy
Self-efficacy is a central concept in social cognitive theory (Bandura, 1978), which refers to an individual’s perceptions or beliefs about whether they are able to adopt appropriate behavior when faced with challenging circumstances. As a perception of “can do,” self-efficacy reflects a sense of control over the environment and may be thought of as the ability of individuals to handle certain life stressors with greater confidence (Schwarzer et al., 1997). According to the theory of self-efficacy, the sense of the individual of control over the environment and subjective evaluation of their own ability will affect their psychological status and behavioral choices. These include what behavioral choices to make, how much effort to put in and how long to persist in the face of difficulties, and the emotional state of the person facing the situation (Bandura, 1990). Self-efficacy is not static (Ng and Lucianetti, 2015), and it is influenced by a variety of internal and external factors such as achievement goals (Du et al., 2020), creativity training (Mathisen and Brønnick, 2009), and social support (Mathisen, 2011).
Previous research has shown that PTG is positively correlated with self-efficacy in both patient and survivor groups that have experienced a traumatic event (Barskova and Oesterreich, 2009). Self-efficacy manages people’s perceptions of the environment and their assessment of personal competence in the face of traumatic and stressful events (Bandura, 2011). People with high self-efficacy are more open to challenges thus are more likely to experience growth-related changes. PTG, both as a process and as an outcome, also can impact positively on an individual’s personality (Blackie and Jayawickreme, 2014). Therefore, we speculate that individuals who experience traumatic events and achieve growth can improve their general self-efficacy. Thus, it is proposed that individuals who experience PTG are more confident in themselves and, in their lives, then experience greater general self-efficacy in the face of stressful events (Tedeschi and Calhoun, 2004; Jia et al., 2017). It leads to the second hypothesis of the study:
H2a: PTG has a positive correlation with self-efficacy.
A number of studies have investigated the relationship between self-efficacy and creativity. In the field of creativity research, the positive correlation between an individual’s self-efficacy and an individual’s creativity is well recognized (Jaiswal and Dhar, 2016; Newman et al., 2018). In addition, some studies have explored the mediating role of self-efficacy in the relationship between creativity and other factors such as achievement goals (Du et al., 2020), motivation-enhancing practices (Ma et al., 2017), and active procrastination (Liu et al., 2017). The predictive effect of self-efficacy on creativity is also influenced by internal and external factors. For example, self-efficacy had a differential effect due to individual differences in creativity, and that it was negatively correlated with individual creativity for employees who were more promotion-oriented (Li C.-R. et al., 2020). In addition, researchers have empirically shown that college students’ award experience influences the degree of effect of their self-efficacy on creativity (Chang et al., 2016). Given so much overlap between self-efficacy and creativity, we propose the third hypothesis:
H2b: Self-efficacy has a positive correlation with creativity.
From a health behavior perspective, self-efficacy affects people’s health behaviors (Strecher et al., 1986). For example, the person who has high sense of self-efficacy is more likely to increase motivation to act, leading to greater achievement and better health (Zalewska-Puchala et al., 2007). This means that individuals who have increased self-efficacy during a traumatic event are likely to experience more positive changes. Thus, they are able to confidently cope with illness risks and implement positive and healthy behaviors, thereby promoting creative behaviors. In addition, self-efficacy mediates knowledge and behavior and facilitates the knowledge-behavior relations (Rimal, 2000). It has also been shown that self-efficacy mediates perceived efficacy of the government health measures and compliance during the pandemic, and that people with high self-efficacy are better able to have higher scores in behavioral compliance (Roma et al., 2020). It follows that self-efficacy as a factor that enables individuals to face life stresses with confidence is often presented as a mediating role in research.
Individuals who have experienced PTG may develop confidence in their own abilities and in their capacity to face the future, which may facilitate their achievement of more challenging and creative tasks. The COVID-19 has forced college student to study at home for long periods of time, resulting in students facing multiple stressors and suffering from general anxiety about their physical health, academics, and socialization (Cao et al., 2020; Li X. et al., 2020). Thus, COVID-19 has been a substantial stressor that can lead to psychological distress among college students (Lahav, 2020). Exposure to stressors leads to the secretion of cortisol in the body (Dickerson and Kemeny, 2004). It has been shown that physiological activity in humans is influenced by self-efficacy and that cortisol secretion is lower at when self-efficacy is high (Wiedenfeld et al., 1990, Nierop et al., 2008), thereby reducing the increase in cortisol that may result from traumatic events and mitigating the potentially damaging effects on neuronal and cognitive mechanisms (Schönfeld et al., 2013). This physiological mechanism reveals that an individual’s self-efficacy may have an effect on creative cognition by influencing the secretion of cortisol. Thus, the increase in self-efficacy, as an important aspect of PTG, protects psychological health, which facilitates the generation of creative ideas. On the other hand, changes in self-efficacy, an important judgment factor in the choice of challenging tasks and problem-solving, may have an impact on creativity. Then, we propose the fourth hypothesis.
H2: Self-efficacy mediates PTG and creativity.
The Moderating Role of Deliberate Rumination
There are two main types of definitions of rumination in current research. Nolen-Hoeksema et al. (2008) defined rumination as an individual’s repeated, passive attention to the details of a stressful event, the possible causes and consequences of its symptoms, and the details of the course of the event. However, to assess contemplation objectively and neutrally, it is important to distinguish two main types of rumination: intrusive and deliberate (Tedeschi and Calhoun, 2004; Cann et al., 2011). Intrusive rumination refers to the individual’s passive repetition of the traumatic event in a negative manner, which is a non-constructive cognitive approach, whereas deliberate rumination refers to the individual’s active re-examination of the traumatic events and related information: they face the dilemma openly and solve the problem (Cann et al., 2011). Deliberate rumination represents the positive aspect of contemplation, whereby individuals actively reflect on and re-evaluate cognitive processes and ways of thinking to choose a more compatible worldview and lifestyle, shifting their personal attention to positive aspects (Joseph and Linley, 2005). Deliberate rumination allows individuals to achieve positive meaning construction of the stressful event (Cann et al., 2010b), which may lead to PTG of the individual (Wu et al., 2015). What’s more, deliberate rumination can lead to a more purposeful cognitive process and metacognition of the stressful event, which aims to solve problems and foreshadows the possibility of PTG (Cann et al., 2011), reducing the damage of the stressful event (Tedeschi and Calhoun, 2004). For example, in a study of PTG following cancer, it was found that enhanced deliberate rumination can facilitate individuals to achieve PTG (Rider Mundey et al., 2018). Studies have found a significant positive correlation between deliberate rumination and PTG (Andrades et al., 2017; Xu et al., 2019). From above, we can infer that, to some extent, deliberate rumination seems to be an important factor in the individual’s perception of a potentially negative stressor. In summary, we propose a fifth hypothesis:
H3a: Deliberate rumination has a positive correlation with PTG.
Studies examining the effects of rumination on creativity have shown that different types of rumination affect creativity differently. An increase in creative thinking may stem from the development of a post-traumatic cognitive process (Liang et al., 2020), which involves cognitive and attentional control. Iterative rumination on individuals and events is also an important factor in the development of creativity (Verhaeghen et al., 2005). For example, it has been suggested that rumination contributes to the development of higher-value creative ideas (Forgeard et al., 2020). Self-reflective rumination stimulates interest in creative behavior (Verhaeghen et al., 2005, 2014). In light of the above, we believe it is worthwhile to further explore how deliberate rumination can contribute to the development of creativity in college students. Therefore, we hypothesize that.
H3b: Deliberate rumination has a positive correlation with creativity.
The relationship between self-efficacy and rumination has been explored from different perspectives. Researchers have shown that rumination has a negative impact. For example, an empirical study with undergraduate nursing students showed that rumination can lead to depression and reduce self-efficacy, and that self-efficacy does not alleviate depression (Takagishi et al., 2013).
Conversely, higher levels of self-efficacy contribute to an individual’s ability to adapt and develop. Individuals with PTSD and possessing higher self-efficacy chose to extract memories that promoted an increase in self-efficacy when recalling experiences (Brown et al., 2016). In other words, self-efficacy had a positive impact on deliberate rumination. It is generally accepted that rumination is likely to trigger negative emotions and thoughts in individuals, but the facilitative role of rumination with positive beliefs in problem-solving has been overlooked (Dunn and Sensky, 2018). Furthermore, finding support for one’s view of oneself by reviewing the past and constructing future events is often beneficial in establishing and maintaining self-efficacy (Bandura, 1997). Therefore, we suggest that there is an association between self-efficacy, deliberate rumination and creativity, and that, due to its plasticity (Ng and Lucianetti, 2015), self-efficacy has different effects on creativity at different levels of deliberate rumination. In summary, we hypothesize that.
H3c: Deliberate rumination has a positive correlation with self-efficacy.
Based on existing research and the hypotheses above, we further propose that
H3: Deliberate rumination moderates the second half of the path of “PTG → self-efficacy → creativity.”
Materials and Methods
Participants and Procedures
The study was conducted at a polytechnic in Guangdong Province, China, that serves more than 20,000 full-time students. A total of 918 students completed the survey questionnaire. After data collection, 37 participants who were not from Guangdong were excluded from the study, and so the actual number of valid questionnaires was 881. Among the interviewees, 317 (35.982%) were male and 564 (64.018%) were female. Before the research design was finalized, the researchers conducted exploratory focus-group interviews with students at the school to understand their emotional profile and psychological state. The majority of the interviewees indicated that they had been depressed during the COVID-19 pandemic.
The present study followed a correlational design and used a web-based questionnaire as the data collection method. The questionnaires were completed between April 10 and June 15, 2020. A QR code for completing the questionnaire was sent to students electronically during the time college students were studying online because their in-person classes were canceled because of the COVID-19 outbreak. Participants simply had to scan the QR code, go to the on-screen questionnaire, answer the questions and then click on Submit (QR refers to quick response, a readable barcode that contains a large amount of information. Devices, such as mobile phones and tablets, use cameras to scan the QR code and recognize the binary data in it, which takes them to a specific linked website). In China, QR codes are widely used as a means of accessing specific webpages and for other tasks, such as making financial payments, providing identification and searching for information. It should be emphasized that the purpose of the study was explained in detail before the QR code was scanned and that all participants completed the questionnaire on a voluntary basis.
Materials
The questionnaire used in this study consisted of 64 items divided into five sections: (a) demographic information, (b) Posttraumatic Growth Inventory, (c) Runco Ideational Behavior Scale, (d) General Self-Efficacy Scale, and (e) Deliberate Rumination Inventory. The demographic information included gender, home address, and profession. Runco Ideational Behavior Scale, General Self-Efficacy Scale, and Deliberate Rumination Inventory above-mentioned scales were originally developed in English and translated into Chinese for this study. In order to improve the quality of the translations, a back-translation method was used (Brislin, 1970); that is, the first researcher translated the English version into Chinese, then a second researcher back-translated the translated English into Chinese, and a third researcher compared the original, translated, and back-translated versions of the scales to assess the accuracy of the translations. The translations were corrected and optimized prior to finalizing the questionnaire to ensure the equivalence of the scales.
Posttraumatic Growth Inventory
The study used the Chinese version of the Posttraumatic Growth Scale, originally proposed by Tedeschi and Calhoun (1996) and later translated by Geng et al. (2011). The scale consists of 21 items that cover five dimensions: interpersonal relationships (e.g., “Putting effort into my relationships”), new possibilities (e.g., “I’m more likely to try to change things which need changing”), personal strengths (e.g., “I discovered that I’m stronger than I thought I was”), spiritual changes (e.g., “A better understanding of spiritual matters”), and the appreciation of life (e.g., “Appreciating each day”). The scale has six points that measure feelings, reactions, and agreement (1 = no change to 6 = very high degree of change). In the present study, the Cronbach’s alpha coefficient of the scale was 0.958.
Runco Ideational Behavior Scale
The Runco Ideational Behavior Scale, developed by Runco et al. (2000), was used in this study. It consists of 23 self-report items (e.g., “I think about ideas more often than most people” and “I am able to think up answers to problems that have not already been figured out”) that measure the level of creative behavior in everyday life on a 5-point Likert scale (1 = strongly disagree to 5 = strongly agree). In the present study, the Cronbach’s alpha coefficient of the scale was 0.938.
General Self-Efficacy Scale
The General Self-Efficacy Scale (Schwarzer et al., 1997), which consists of 10 items, was used in this study. After discussion, the last three items of the original scale were removed so as to take into account the specific situation of participants and research needs, reducing the total to seven (e.g., “I can always manage to solve difficult problems if I try hard enough” and “I am confident that I could deal efficiently with unexpected events”). The scale has four points (1 = not at all true to 4 = very true). In this study, the Cronbach’s alpha coefficient of the scale was 0.875.
Deliberate Rumination Inventory
The Deliberate Rumination Inventory, part of the Event-Related Rumination Inventory, developed by Cann et al. (2011), was used in this study. The inventory, consisting of 10 items (e.g., “I thought about whether I could find meaning from my experience” and “I thought about the event and tried to understand what happened”), assesses the frequency of deliberate rumination in injured people. The scale rated on a 4-point Likert scale (1 = not at all and 4 = always). In this study, the Cronbach’s alpha coefficient for the inventory was 0.913.
Data Analysis
Version 23.0 of SPSS was used to perform the analysis. Since self-report data were collected for this study, common method biases were tested to ensure its validity by using the Harman single factor test before data processing (Podsakoff et al., 2003). The 74 items in the questionnaire related to the four variables were tested. The results showed that nine factors had eigenvalues greater than 1. These factors contributed 63.876% of the total variance. The first factor explained only 31.878% of the variance, which did not reach the critical criterion of 40% (Zhou and Long, 2004), indicating that there is no significant common methodological bias in this study.
After common-method-bias evaluation, we carried out descriptive analysis, correlation analysis, and model testing of the data based on the research hypotheses. First, we examined trends in concentration and dispersion of the data. Then, we tested the relationships between the independent, mediating, dependent, and moderating variables by calculating Pearson’s correlation coefficients. A model was constructed based on the results of the correlation analysis, and the hypotheses proposed were tested, and the PROCESS (version 3.3) plug-in in SPSS was used to test the mediating effect of self-efficacy and the moderating effect of deliberate rumination. [The PROCESS plug-in was developed by Hayes (2013) specifically for path analysis-based regulation and mediator analysis and their combinations].
Results
Descriptive Statistics and Correlations Analyses
Means, standard deviations, and correlations of the study variables were calculated. As shown in Table 1, the PTG of participating college students was significantly and positively correlated with general self-efficacy (r = 0.466, p < 0.01) and creativity (r = 0.434, p < 0.01). Their general self-efficacy was positively correlated with creativity (r = 0.475, p < 0.01) and deliberate rumination (r = 0.216, p < 0.01). In addition, deliberate rumination was positively correlated with creativity (r = 0.288, p < 0.01). Thus, the results of the correlation analysis provided preliminary support for the subsequent mediated-effects test. In addition, gender was used as a control variable in the current study. And, it was dummy coded (1, female and 0, male).
Mediation Analysis of Self-Efficacy
Multiple regression analysis was performed using Model 4 of the PROCESS component of SPSS, with PTG as the independent variable, creativity as the dependent variable and general self-efficacy as the mediating variable. As shown in Table 2, PTG positively predicted creativity (β = 0.150, SE = 0.018, p < 0.001). As well, PTG was positively correlated to self-efficacy (β = 0.248, SE = 0.016, p < 0.001), and self-efficacy was positively correlated to creativity (β = 0.375, SE = 0.035, p < 0.001).
In addition, we used the bootstrap method to test the confidence interval (CI) estimates, which showed that the 95% confidence intervals for the direct and indirect effects of PTG on creativity did not include 0. Thus, the partial mediator equation model of general self-efficacy held, and self-efficacy was the mediating variable in the relationship between PTG and creativity. The direct effect (0.150) and the mediating effect (0.093) accounted for 61.728 and 38.272% of the total effect, respectively (see Table 3).
Moderated Mediation Effects
To test H3, the second half of the mediated model was analyzed by adding the moderating variable deliberate rumination. Then we used SPSS PROCESS Model 14 to test the model. The results showed that deliberate rumination was positively correlated to creativity (β = 0.178, p < 0.001) with a 95% CI [0.111, 0.244]. The interaction term of self-efficacy and deliberate rumination reached a significant level for creativity (β = −0.186, p < 0.001) with a 95% confidence interval of [−0.282, −0.090] (see Table 4). The model is shown in Figure 1.
In order to further analyze the moderating effect of deliberate rumination, the study divided deliberate rumination into low (M − 1SD) and high (M + 1SD) groups and performed a simple slope analysis. The results showed that 95% of the CIs did not include zero and that deliberate rumination influenced the strength of the relationship between self-efficacy and creativity (see Table 5). Self-efficacy was a stronger predictor of creativity with low (i.e., M − 1 SD) levels of deliberate rumination (see Figure 2).
Table 5. Conditional indirect effect at specific levels of deliberate rumination when mediated by general self-efficacy.
Figure 2. The relationship between self-efficacy and creativity for high and low levels of deliberate rumination.
Discussion
Discussion of the Results
First, the present study shows that PTG significantly predicts creativity in college students, which was relatively consistent with H1 and previous studies on the positive effects of traumatic events, which have the potential to increase creativity (Forgeard, 2013; Liang et al., 2020). According to the PTG model proposed by Tedeschi and Calhoun (2004), traumatic events change an individual’s worldview, and PTG is the result of reconstruction and integration of cognitive assessments of traumatic events. The cognitive assessment process may involve cognitive neurological and psychological rehabilitation, prompting reflection and return to a way of life more in line with their values, thus changing their behavior and thinking (Baseotto et al., 2020). At the same time, from a mental and behavioral developmental perspective, negative experiences can have an impact on an individual’s cognitive and behavioral structure (Yi et al., 2017). When faced with difficulties and distress, they think deeply and explore ways to find a way out of the situation. In the process, they choose new ways of thinking and make an effort to adopt behaviors that build new cognitive structures and behavioral systems (Helson and Roberts, 1994). By using a variety of strategies to solve problems and readjust to a new life, they successfully embrace new ways of making sense of the world and develop new cognitive structures that promote cognitive flexibility and innovative behavior (Cann et al., 2010a). As a result, individuals who have experienced PTG have a more objective and positive perception of the traumatic event and on the challenges of everyday life. This positive emotional state is conducive to creative development (Han et al., 2019). So, measuring levels of PTG can predict an individual’s perception of their increased level of creativity.
Second, the findings validate H2a, H2b, and H2. The results show that PTG positively predicts an individual’s self-efficacy, which aligns with previous findings that individuals who have experienced PTG may be able to develop greater confidence in themselves (Joseph et al., 1993; Arpawong et al., 2013; Glad et al., 2013). This finding supports the PTG model, which posits positive changes in self-perception (Tedeschi and Calhoun, 2004). In other words, the positive impact of a traumatic event may also be reflected in the individual’s reassessment of their ability to face and resolve past or possible future traumatic events in a more confidently and courageously. In addition, individuals with high self-efficacy are more likely to experience PTG (Benight and Bandura, 2004; Prati and Pietrantoni, 2009; Jurišová, 2016). Thus, PTG and self-efficacy are closely related.
The results also validate the positive predictive effect of self-efficacy on creativity, which also aligns with the results of previous studies. According to social cognitive theory, people with high self-efficacy tend to be more open to challenges, put a higher level of effort into an activity and pay more sustained attention to it (Bandura, 1978, 1982). Therefore, with regard to creativity, self-efficacy affects the individual’s abilities to engage in the creative process: persons with low self-efficacy may cease their efforts when faced with challenges and dilemmas, and so fail to produce a product of creative value. In addition, the component model of creativity points by Amabile (1988) to internal motivation as one of the most important factors influencing creativity. Individuals with high self-efficacy, which is a source of motivation, tend to set creative goals and are confident of reaching them (Intasao and Hao, 2018). However, those with doubts about their own abilities tend to avoid situations and tasks that are beyond their creative reach, which can make it difficult for them to develop and demonstrate practical skills and abilities (Locke and Latham, 2006). During the COVID-19 pandemic, college students who experienced PTG may have increase their level of self-efficacy, which had a protective effect on cognitive (Wang et al., 2014). As a result, they have been able to gather materials and ideas from life in a more positive frame of mind and stimulate their creative behavior. In summary, it is logical that self-efficacy plays a mediating role between PTG and creativity.
Third, the results are also consistent with H3a, H3b, H3c, and the results of other studies. To begin, deliberate rumination by college students had a positive impact on PTG, which validates previous research that showed that deliberate rumination has a constructive effect on human development. Therefore, in mental health counseling and interventions for college students, it is important to help them to transform cathartic negative thoughts and emotions into positive perceptions of the traumatic event in order to facilitate the occurrence of PTG. Further, deliberate rumination had a positive effect on college students’ creativity (Verhaeghen et al., 2005, 2014; Forgeard et al., 2020). In past studies, self-efficacy and rumination were considered as important factors influencing individual physical and mental growth, with the former often representing a positive influence and the latter being associated with mental illness (Takagishi et al., 2013; Karabati et al., 2017; Nota and Coles, 2018), However, the two dimensions of rumination have not been comprehensively discussed. Deliberate rumination, which involves active self-reflection and reflection, can help individuals to better cope with difficult situations (Dunn and Sensky, 2018). Finally, deliberate rumination had a positive correlation with students’ self-efficacy, which is consistent with the findings of previous studies (Bandura, 1997; Brown et al., 2016). The frequency of rumination among college students influenced their level of creativity and deliberate rumination, which means individual have positive beliefs stimulates creative interests and behaviors.
Fourth, the present study found that deliberate rumination plays a moderating role in the influence of college students’ self-efficacy on creativity, which confirms H3. The present study found that the positive effect of self-efficacy on creativity was more significant for college students with lower levels of deliberate rumination compared to those with high levels of deliberate rumination. According to Cann et al. (2011), deliberate rumination enables people to positively understand negative events in order to solve problems. As mentioned above, deliberate rumination has been found to be an important predictor of PTG. For example, it has been shown that deliberate rumination motivates individuals to rethink the world, others, and self and to take the initiative to obtain social support to reduce stress and grow (Xu et al., 2019). Therefore, college students with higher levels of deliberate rumination have the ability and means to solve problems and rate their level of creativity higher. In contrast, students with low levels of deliberate rumination inhibit the development of creativity due to a lack of proactive and constructive thinking about events and problems (Cohen and Ferrari, 2010; Vahle-Hinz et al., 2017).
However, it does not mean that higher levels of deliberate rumination are better, because students with low levels of deliberate rumination were more likely to be influenced by self-efficacy as a factor. As the frequency of deliberate rumination decreased, the effect of self-efficacy on creativity increased. While deliberate rumination assists individuals in finding meaning in stressful events, this meaning may involve negative beliefs, worldviews, and self-concepts (Kamijo and Yukawa, 2018), which may lead to negative emotions, which reveals that when suffer a stressful event, individuals who possess strong deliberate rumination may reinforce the recurrence of negative emotions to the extent that they reduce their self-efficacy in dealing with the stressful event, thus weakening the development of creativity. The high levels of deliberate rumination are more likely lead to negative emotions due to the fact that during the COVID-19 outbreak, students studied at home for long periods of time and were unable to communicate with others and so resolve their confusion. Then changes in self-efficacy have less impact on the effect of creativity under the effect of negative emotions such as anxiety and helplessness (Hu et al., 2015). Dispersed thinking is a core component of creative thinking (Runco and Acar, 2012). When deliberate rumination levels are lower, individuals with high levels of self-efficacy are able to positively think and solve problems from multiple perspectives due to reduced frequency of repetitive thinking about events and constant self-focusing. Then the influence of self-efficacy on creativity is subsequently enhanced.
Implications
In a theoretical sense, our study links PTG and creativity, a new learning that deepens understanding of the positive impact of traumatic events on the mechanisms of creativity. In addition, the researchers analyzed mediating and moderating effects. Using self-efficacy as a mediating variable, they found that the PTG of college students increased their self-efficacy and ultimately had a positive effect on their creativity, while deliberate rumination had a moderating effect on self-efficacy and creativity.
In a practical sense, this study has described the relationship between the four variables presented in this study, which may help researchers to better understand the mechanisms by which creativity develops after trauma. Therefore, the negative impact of major public health events, such as the COVID-19 pandemic, can be alleviated through positive psychological interventions with the college student population. This theory has a great guiding role in reality. After college students experience traumatic events, effective measures can be taken to promote their PTG, improving their self-efficacy and avoiding them having too high frequency of deliberate rumination so as to develop their creativity. During the outbreak confinement, The Ministry of Education of the People’s Republic of China asked universities to set up psychological support hotlines and online counseling services to mitigate the psychological damage caused to students. For instance, several universities provided psychological counseling services for students, offering them access to psychological problems, timely follow-up by professionals, and regular visits thus providing better attention to students’ PTG (The Ministry of Education of the People’s Republic of China, 2020). Second, news media should also focus on promoting healthy lifestyles and new forms of activities that emerge during the COVID-19 pandemic, such as online supermarkets, video consultations, and live home activities, which will help the public to build confidence in their lives and avoid excessive attention of epidemic-related information. Meanwhile, the mutual assistance of epidemic prevention resources and the timely response of staff to residents’ needs in the community will enhance individuals’ sense of security and alleviate the negative feelings associated with isolation and excessive rumination. Such interventions can help the students to reconstruct their perception of adversity and enable them to develop positive self-beliefs and so promote the creative process.
Limitations and Future Directions
This study has certain limitations. First, the cross-sectional study used in this study, while revealing correlations between the variables, does not allow for inference of causality between the variables tested. Future researchers could conduct longitudinal studies to determine whether the scores measured effectively represent an actual increase in creativity. Second, this study was conducted with college students from the same college, and due to the limitations of sampling at that time, gender balance of the samples was not achieved. In the future, the external validity of the results of this study can be tested by selecting subjects from a wider range of sources and more balanced gender. Third, this study only focused on the moderating effect of deliberate rumination between self-efficacy and creativity. Future research could further expand on the effects of other dimensions of rumination on creativity after a traumatic event. Finally, the effects of other factors, such as major discipline and gender on the four variables, have not been explored in this study, and future research could include control variables to further clarify the relationship between the four variables.
Conclusion
This study tested a moderated mediation model to examine the relationship between PTG and creativity, and the mediating role of self-efficacy between the two and the moderating role of deliberate rumination in college students during the COVID-19 pandemic. The results showed that PTG positively predicted creativity while self-efficacy mediated the relationship between the two. Furthermore, deliberate rumination moderated self-efficacy in the second half of the mediating pathway between PTG and creativity. More specifically, the positive predictive effect of self-efficacy on creativity was more pronounced at low levels of deliberate rumination.
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 Institutional Ethics Committee of School of Geography, South China Normal University. The patients/participants provided their written informed consent to participate in this study.
Author Contributions
WZ and YX designed the research and reviewed and edited the paper. YZ, WZ, YX, and DH carried out the literature search and data analysis. WZ, YZ, YX, JS, XW, JW, and DH wrote the paper. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by the Guangdong Planning Office of Philosophy and Social Science, grant number GD20CJY19.
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.
References
Alamdar, S., Lv, Y., Guo, J., Lu, J., and Zhang, Y. (2020). Attentional bias effect on post-traumatic outcomes in children after earthquake: mediation role of rumination. Psych J. 9, 738–748. doi: 10.1002/pchj.360
Amabile, T. (1988). A model of creativity and innovation in organizations. Res. Organ. Behav. 10, 123–167.
Amabile, T. (1996). Creativity in context: Update to “The social psychology of creativity”. Boulder, CO: Westview Press.
American Psychiatric Association (2013). Diagnostic and statistical manual of mental disorders: Fifth edition (DSM-5). Washington, DC: American Psychiatric Publishing.
Andersson, L. M. C., Moore, C. D., Hensing, G., Krantz, G., and Staland-Nyman, C. (2014). General self-efficacy and its relationship to self-reported mental illness and barriers to care: a general population study. Community Ment. Health J. 50, 721–728. doi: 10.1007/s10597-014-9722-y
Andrades, M., García, F. E., Calonge, I., and Martínez-Arias, R. (2017). Posttraumatic growth in children and adolescents exposed to the 2010 earthquake in Chile and its relationship with rumination and posttraumatic stress symptoms. J. Happiness Stud. 19, 1505–1517. doi: 10.1007/s10902-017-9885-7.4
Arpawong, T. E., Oland, A., Milam, J. E., Ruccione, K., and Meeske, K. A. (2013). Post-traumatic growth among an ethnically diverse sample of adolescent and young adult cancer survivors. Psychooncology 22, 2235–2244. doi: 10.1002/pon.3286
Baillie, S. E., Sellwood, W., and Wisely, J. A. (2014). Post-traumatic growth in adults following a burn. Burns 40, 1089–1096. doi: 10.1016/j.burns.2014.04.007
Bandura, A. (1978). Self-efficacy: toward a unifying theory of behavioral change. Adv. Behav. Res. Ther. 1, 139–161. doi: 10.1016/0146-6402(78)90002-4
Bandura, A. (1982). Self-efficacy mechanism in human agency. Am. Psychol. 37, 122–147. doi: 10.1037/0003-066X.37.2.122
Bandura, A. (1990). Perceived self-efficacy in the exercise of control over AIDS infection. Eval. Program Plann. 13, 9–17. doi: 10.1016/0149-7189(90)90004-G
Bandura, A. (2011). On the functional properties of perceived self-efficacy revisited. J. Manag. 38, 9–44. doi: 10.1177/0149206311410606
Barskova, T., and Oesterreich, R. (2009). Post-traumatic growth in people living with a serious medical condition and its relations to physical and mental health: a systematic review. Disabil. Rehabil. 31, 1709–1733. doi: 10.1080/09638280902738441
Baseotto, M. C., Morris, P. G., Gillespie, D. C., and Trevethan, C. T. (2020). Post-traumatic growth and value-directed living after acquired brain injury. Neuropsychol. Rehabil. 3, 1–20. doi: 10.1080/09602011.2020.1798254
Benedek, M., Jauk, E., Sommer, M., Arendasy, M., and Neubauer, A. C. (2014). Intelligence, creativity, and cognitive control: the common and differential involvement of executive functions in intelligence and creativity. Dermatol. Int. 46, 73–83. doi: 10.1016/j.intell.2014.05.007
Benight, C. C., and Bandura, A. (2004). Social cognitive theory of posttraumatic recovery: the role of perceived self-efficacy. Behav. Res. Ther. 42, 1129–1148. doi: 10.1016/j.brat.2003.08.008
Binnewies, C., Sonnentag, S., and Mojza, E. J. (2009). Feeling recovered and thinking about the good sides of one’s work. J. Occup. Health Psychol. 14, 243–256. doi: 10.1037/a0014933
Blackie, L., and Jayawickreme, E. (2014). Promoting change in post-traumatic growth research: response to commentaries. Eur. J. Pers. 28, 351–361. doi: 10.1002/per.1970
Brislin, R. (1970). Back-translation for cross-cultural research. J. Cross-Cult. Psychol. 1, 185–216. doi: 10.1177/135910457000100301
Brooks, S. K., Webster, R. K., Smith, L. E., Woodland, L., Wessely, S., Greenberg, N., et al. (2020). The psychological impact of quarantine and how to reduce it: rapid review of the evidence. Lancet 395, 912–920. doi: 10.1016/S0140-6736(20)30460-8
Brown, A. D., Kouri, N. A., Rahman, N., Joscelyne, A., Bryant, R. A., and Marmar, C. R. (2016). Enhancing self-efficacy improves episodic future thinking and social-decision making in combat veterans with posttraumatic stress disorder. Psychiatry Res. 242, 19–25. doi: 10.1016/j.psychres.2016.05.026
Büchi, S., Mörgeli, H., Schnyder, U., Jenewein, J., Hepp, U., Jina, E., et al. (2007). Grief and post-traumatic growth in parents 2–6 years after the death of their extremely premature baby. Psychother. Psychosom. 76, 106–114. doi: 10.1159/000097969
Cann, A., Calhoun, L. G., Tedeschi, R. G., Kilmer, R. P., Gil-Rivas, V., Vishnevsky, T., et al. (2010a). The Core Beliefs Inventory: a brief measure of disruption in the assumptive world. Anxiety Stress Coping 23, 19–34. doi: 10.1080/10615800802573013
Cann, A., Calhoun, L. G., Tedeschi, R. G., and Solomon, D. T. (2010b). Posttraumatic growth and depreciation as independent experiences and predictors of well-being. J. Loss Trauma 15, 151–166. doi: 10.1080/15325020903375826
Cann, A., Calhoun, L. G., Tedeschi, R. G., Triplett, K. N., Vishnevsky, T., and Lindstrom, C. M. (2011). Assessing posttraumatic cognitive processes: The Event Related Rumination Inventory. Anxiety Stress Coping 24, 137–1156. doi: 10.1080/10615806.2010.529901
Cao, W., Fang, Z., Hou, G., Han, M., Xu, X., Dong, J., et al. (2020). The psychological impact of the COVID-19 epidemic on college students in China. Psychiatry Res. 287:112934. doi: 10.1016/j.psychres.2020.112934
Chang, S.-H., Wang, C.-L., and Lee, J.-C. (2016). Do award-winning experiences benefit students’ creative self-efficacy and creativity? The moderated mediation effects of perceived school support for creativity. Learn. Individ. Differ. 51, 291–298. doi: 10.1016/j.lindif.2016.09.011
Chi, X., Becker, B., Yu, Q., Willeit, P., Jiao, C., Huang, L., et al. (2020). Prevalence and psychosocial correlates of mental health outcomes among Chinese college students during the coronavirus disease (COVID-19) pandemic. Front. Psych. 11:803. doi: 10.3389/fpsyt.2020.00803
Cohen, J. R., and Ferrari, J. R. (2010). Take some time to think this over: the relation between rumination, indecision, and creativity. Creat. Res. J. 22, 68–73. doi: 10.1080/10400410903579601
Di Giuseppe, M., Zilcha-Mano, S., Prout, T. A., Perry, J. C., Orru, G., and Conversano, C. (2020). Psychological impact of coronavirus disease 2019 among italians during the first week of lockdown. Front. Psych. 11:576597. doi: 10.3389/fpsyt.2020.576597
Dickerson, S. S., and Kemeny, M. E. (2004). Acute stressors and cortisol responses: a theoretical integration and synthesis of laboratory research. Psychol. Bull. 130, 355–391. doi: 10.1037/0033-2909.130.3.355
Dorman-Ilan, S., Hertz-Palmor, N., Brand-Gothelf, A., Hasson-Ohayon, I., Matalon, N., Gross, R., et al. (2020). Anxiety and depression symptoms in COVID-19 isolated patients and in their relatives. Front. Psych. 11:581598. doi: 10.3389/fpsyt.2020.581598
Du, K., Wang, Y., Ma, X., Luo, Z., Wang, L., and Shi, B. (2020). Achievement goals and creativity: the mediating role of creative self-efficacy. Educ. Psychol. 40, 1249–1269. doi: 10.1080/01443410.2020.1806210
Dunn, J. M., and Sensky, T. (2018). Psychological processes in chronic embitterment: the potential contribution of rumination. Psychol. Trauma 10, 7–13. doi: 10.1037/tra0000291
Edl, S., Benedek, M., Papousek, I., Weiss, E., and Fink, A. (2014). Creativity and the Stroop interference effect. Personal. Individ. Differ. 69, 38–42. doi: 10.1016/j.paid.2014.05.009
Forgeard, M. J. C. (2013). Perceiving benefits after adversity: the relationship between self-reported posttraumatic growth and creativity. Psychol. Aesthet. Creat. Arts 7, 245–264. doi: 10.1037/a0031223
Forgeard, M., Corcoran, E., Beard, C., and Bjorgvinsson, T. (2020). Relationships between depression, self-reflection, brooding, and creative thinking in a psychiatric sample. Psychol. Aesthet. Creat. Arts 14, 325–333. doi: 10.1037/aca0000206
Frazier, P., Conlon, A., and Glaser, T. (2001). Positive and negative life changes following sexual assault. J. Consult. Clin. Psychol. 69, 1048–1055. doi: 10.1037/0022-006X.69.6.1048
Geng, Y., Xu, Q., Liu, H., and Xu, X. (2011). Reliability and validity analysis of the Chinese Post-traumatic Growth Scale in multiple trauma survivors. Chin. J. Nurs. 46, 1003–1005. doi: 10.3761/j.issn.0254-1769.2011.10.023
Glad, K. A., Jensen, T. K., Holt, T., and Ormhaug, S. M. (2013). Exploring self-perceived growth in a clinical sample of severely traumatized youth. Child Abuse Negl. 37, 331–342. doi: 10.1016/j.chiabu.2013.02.007
Grignoli, N., Petrocchi, S., Bernardi, S., Massari, I., Traber, R., Malacrida, R., et al. (2021). Influence of empathy disposition and risk perception on the psychological impact of lockdown during the coronavirus disease pandemic outbreak. Front. Public Health 8:567337. doi: 10.3389/fpubh.2020.567337
Groarke, A., Curtis, R., Groarke, J. M., Hogan, M. J., Gibbons, A., and Kerin, K. (2017). Post-traumatic growth in breast cancer: how and when do distress and stress contribute? Psychooncology 26, 967–974. doi: 10.1002/pon.4243
Han, W., Feng, X., Zhang, M., Peng, K. P., and Zhang, D. (2019). Mood states and everyday creativity: employing an experience sampling method and a day reconstruction method. Front. Psychol. 10:1698. doi: 10.3389/fpsyg.2019.01698
Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York, NY: Guilford Press.
Helson, R., and Roberts, B. (1994). Ego development and personality change in adulthood. J. Pers. Soc. Psychol. 66, 911–920. doi: 10.1037/0022-3514.66.5.911
Hu, W., Wang, B., Duan, H., Cheng, L., Zhou, H., and Li, J. (2015). Neural mechanism of creative cognitive process influenced by emotion. Adv. Psychol. Sci. 23, 1869–1878. doi: 10.3724/SP.J.1042.2015.01869
Intasao, N., and Hao, N. (2018). Beliefs about creativity influence creative performance: the mediation effects of flexibility and positive affect. Front. Psychol. 9:1810. doi: 10.3389/fpsyg.2018.01810
Jaiswal, N. K., and Dhar, R. L. (2016). Fostering employee creativity through transformational leadership: moderating role of creative self-efficacy. Creat. Res. J. 28, 367–371. doi: 10.1080/10400419.2016.1195631
Jia, X., Liu, X., Ying, L., and Lin, C. (2017). Longitudinal relationships between social support and posttraumatic growth among adolescent survivors of the wenchuan earthquake. Front. Psychol. 8:1275. doi: 10.3389/fpsyg.2017.01275
Joseph, S., and Linley, P. A. (2005). Positive adjustment to threatening events: an organismic valuing theory of growth through adversity. Rev. Gen. Psychol. 9, 262–280. doi: 10.1037/1089-2680.9.3.262
Joseph, S., Williams, R., and Yule, W. (1993). Changes in outlook following disaster: the preliminary development of a measure to assess positive and negative responses. J. Trauma. Stress. 6, 271–279. doi: 10.1002/jts.2490060209
Jurišová, E. (2016). Coping strategies and post-traumatic growth in paramedics: moderating effect of specific self-efficacy and positive/negative affectivity. Stud. Psychol. 58, 259–275. doi: 10.21909/sp.2016.04.722
Kamijo, N., and Yukawa, S. (2018). The role of rumination and negative affect in meaning making following stressful experiences in a Japanese sample. Front. Psychol. 9:2404. doi: 10.3389/fpsyg.2018.02404
Karabati, S., Ensari, N., and Fiorentino, D. (2017). Job satisfaction, rumination, and subjective well-being: a moderated mediational model. J. Happiness Stud. 20, 251–268. doi: 10.1007/s10902-017-9947-x
Lahav, Y. (2020). Psychological distress related to COVID-19—The contribution of continuous traumatic stress. J. Affect. Disord. 277, 129–137. doi: 10.1016/j.jad.2020.07.141
Li, X., Lv, S., Liu, L., Chen, R., Chen, J., Liang, S., et al. (2020). COVID-19 in Guangdong: immediate perceptions and psychological impact on 304,167 college students. Front. Psychol. 11:2024. doi: 10.3389/fpsyg.2020.02024
Li, S., Wang, Y., Xue, J., Zhao, N., and Zhu, T. (2020). The impact of COVID-19 epidemic declaration on psychological consequences: a study on active Weibo users. Int. J. Environ. Res. Public Health 17:2032. doi: 10.3390/ijerph17062032
Li, C.-R., Yang, Y., Lin, C.-J., and Xu, Y. (2020). Within-person relationship between creative self-efficacy and individual creativity: the mediator of creative process engagement and the moderator of regulatory focus. J. Creat. Behav. 55, 63–78. doi: 10.1002/jocb.435
Liang, Y., Zheng, H., Cheng, J., Zhou, Y., and Liu, Z. (2020). Associations between posttraumatic stress symptoms, creative thinking, and trait resilience among Chinese adolescents exposed to the Lushan earthquake. J. Creat. Behav. 1–12. doi: 10.1002/jocb.460
Linley, P. A., and Joseph, S. (2004). Positive change following trauma and adversity: a review. J. Trauma. Stress 17, 11–21. doi: 10.1023/B:JOTS.0000014671.27856.7e
Liu, W., Pan, Y., Luo, X., Wang, L., and Pang, W. (2017). Active procrastination and creative ideation: the mediating role of creative self-efficacy. Personal. Individ. Differ. 119, 227–229. doi: 10.1016/j.paid.2017.07.033
Liu, A.-N., Wang, L.-L., Li, H.-P., Gong, J., and Liu, X.-H. (2016). Correlation between posttraumatic growth and posttraumatic stress disorder symptoms based on Pearson correlation coefficient: a meta-analysis. J. Nerv. Ment. Dis. 205, 380–389. doi: 10.1097/NMD.0000000000000605
Locke, E. A., and Latham, G. P. (2006). New directions in goal-setting theory. Curr. Dir. Psychol. Sci. 15, 265–268. doi: 10.1111/j.1467-8721.2006.00449.x
Ma, Z., Long, L., Zhang, Y., Zhang, J., and Lam, C. K. (2017). Why do high-performance human resource practices matter for team creativity? The mediating role of collective efficacy and knowledge sharing. Asia Pac. J. Manag. 34, 565–586. doi: 10.1007/s10490-017-9508-1
Mathisen, G. E. (2011). Organizational antecedents of creative self-efficacy. Creat. Innov. Manag. 20, 185–195. doi: 10.1111/j.1467-8691.2011.00606.x
Mathisen, G., and Brønnick, K. (2009). Creative self-efficacy: an intervention study. Int. J. Educ. Res. 48, 21–29. doi: 10.1016/j.ijer.2009.02.009
Newman, A., Tse, H. H. M., Schwarz, G., and Nielsen, I. (2018). The effects of employees’ creative self-efficacy on innovative behavior: the role of entrepreneurial leadership. J. Bus. Res. 89, 1–9. doi: 10.1016/j.jbusres.2018.04.001
Ng, T., and Lucianetti, L. (2015). Within-individual increases in innovative behavior and creative, persuasion, and change self-efficacy over time: a social-cognitive theory perspective. J. Appl. Psychol. 101, 14–34. doi: 10.1037/apl0000029
Nierop, A., Wirtz, P. H., Aliki Bratsikas, A., Zimmermann, R., and Ehlert, U. (2008). Stress-buffering effects of psychosocial resources on physiological and psychological stress response in pregnant women. Biol. Psychol. 78, 261–268. doi: 10.1016/j.biopsycho.2008.03.012
Niu, W., and Kaufman, J. (2005). Creativity in troubled times: factors associated with recognitions of Chinese literary creativity in the 20th century. J. Creat. Behav. 39, 57–67. doi: 10.1002/j.2162-6057.2005.tb01249.x
Nolen-Hoeksema, S., Wisco, B., and Lyubomirsky, S. (2008). Rethinking rumination. Perspect. Psychol. Sci. 3, 400–424. doi: 10.1111/j.1745-6924.2008.00088.x
Nota, J. A., and Coles, M. E. (2018). Shorter sleep duration and longer sleep onset latency are related to difficulty disengaging attention from negative emotional images in individuals with elevated transdiagnostic repetitive negative thinking. J. Behav. Ther. Exp. Psychiatry 58, 114–122. doi: 10.1016/j.jbtep.2017.10.003
Paulus, P. B., Levine, D. S., Brown, V., Minai, A. A., and Doboli, S. (2010). Modeling ideational creativity in groups: connecting cognitive, neural, and computational approaches. Small Group Res. 41, 688–724. doi: 10.1177/1046496410369561
Pérez-San-Gregorio, M. Á., Martín-Rodríguez, A., Borda-Mas, M., Avargues-Navarro, M. L., Pérez-Bernal, J., and Gómez-Bravo, M. A. (2017). Coping strategies in liver transplant recipients and caregivers according to patient posttraumatic growth. Front. Psychol. 8:18. doi: 10.3389/fpsyg.2017.00018
Peterson, C., Park, N., Pole, N., D’Andrea, W., and Seligman, M. E. P. (2008). Strengths of character and posttraumatic growth. J. Trauma. Stress. 21, 214–217. doi: 10.1002/jts.20332
Plucker, J. A., and Beghetto, R. A., and G. T. Dow (2004). Why isn’t creativity more important to educational psychologists? Potentials, pitfalls, and future directions in creativity research. Educ. Psychol. 39, 83–96. doi: 10.1207/s15326985ep3902_1
Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., and Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. J. Appl. Psychol. 88, 879–903. doi: 10.1037/0021-9010.88.5.879
Prati, G., and Pietrantoni, L. (2009). Optimism, social support, and coping strategies as factors contributing to posttraumatic growth: a meta-analysis. J. Loss Trauma 14, 364–388. doi: 10.1080/15325020902724271
Rider Mundey, K., Nicholas, D., Kruczek, T., Tschopp, M., and Bolin, J. (2018). Posttraumatic growth following cancer: The influence of emotional intelligence, management of intrusive rumination, and goal disengagement as mediated by deliberate rumination. J. Psychosoc. Oncol. 37, 1–22. doi: 10.1080/07347332.2018.1514449
Rimal, R. N. (2000). Closing the knowledge-behavior gap in health promotion: the mediating role of self-efficacy. Health Commun. 12, 219–237. doi: 10.1207/S15327027HC1203_01
Roma, P., Monaro, M., Muzi, L., Colasanti, M., Ricci, E., Biondi, S., et al. (2020). How to improve compliance with protective health measures during the COVID-19 outbreak: testing a moderated mediation model and machine learning algorithms. Int. J. Environ. Res. Public Health 17:7252. doi: 10.3390/ijerph17197252
Rossi, R., Socci, V., Talevi, D., Mensi, S., Niolu, C., Pacitti, F., et al. (2020). COVID-19 pandemic and lockdown measures impact on mental health among the general population in Italy. Front. Psych. 11:790. doi: 10.3389/fpsyt.2020.00790
Runco, M. A., and Acar, S. (2012). Divergent thinking as an indicator of creative potential. Creat. Res. J. 24, 66–75. doi: 10.1080/10400419.2012.652929
Runco, M. A., and Jaeger, G. J. (2012). The standard definition of creativity. Creat. Res. J. 24, 92–96. doi: 10.1080/10400419.2012.650092
Runco, M. A., Plucker, J. A., and Lim, W. (2000). Development and psychometric integrity of a measure of ideational behavior. Creat. Res. J. 13, 393–400. doi: 10.1207/S15326934CRJ1334_16
Schönfeld, P., Ackermann, K., and Schwabe, L. (2013). Remembering under stress: different roles of autonomic arousal and glucocorticoids in memory retrieval. Psychoneuroendocrinology 39, 249–256. doi: 10.1016/j.psyneuen.2013.09.020
Schwarzer, R., Bäßler, J., Kwiatek, P., Schröder, K., and Zhang, J. X. (1997). The assessment of optimistic self-beliefs: comparison of the German, Spanish, and Chinese versions of the General Self-Efficacy Scale. Appl. Psychol. 46, 69–88. doi: 10.1111/j.1464-0597.1997.tb01096.x
Shakespeare-Finch, J., and Lurie-Beck, J. (2014). A meta-analytic clarification of the relationship between posttraumatic growth and symptoms of posttraumatic distress disorder. J. Anxiety Disord. 28, 223–229. doi: 10.1016/j.janxdis.2013.10.005
Sharp, L., Redfearn, D., Timmons, A., Balfe, M., and Patterson, J. (2018). Posttraumatic growth in head and neck cancer survivors: is it possible and what are the correlates? Psychooncology 27, 1517–1523. doi: 10.1002/pon.4682
Siegel, K., and Schrimshaw, E. (2000). Perceiving benefits in adversity: stress-related growth in women living with HIV/AIDS. Soc. Sci. Med. 51, 1543–1554. doi: 10.1016/S0277-9536(00)00144-1
Somer, E., Abu-Rayya, H. M., Schimmenti, A., Metin, B., Brenner, R., Ferrante, E., et al. (2020). Heightened levels of maladaptive daydreaming are associated with COVID-19 lockdown, pre-existing psychiatric diagnoses, and intensified psychological dysfunctions: a multi-country study. Front. Psych. 11:587455. doi: 10.3389/fpsyt.2020.587455
Sternberg, R., and Lubart, T. I. (1991). An investment theory of creativity and its development. Hum. Dev. 34, 1–31. doi: 10.1159/000277029
Strecher, V. J., DeVellis, B. M., Becker, M. H., and Rosenstock, I. M. (1986). The role of self-efficacy in achieving health behavior change. Health Educ. Q. 13, 73–92. doi: 10.1177/109019818601300108
Sun, X., Li, X., Huang, J., and An, Y. (2020). Prevalence and predictors of PTSD, depression and posttraumatic growth among Chinese firefighters. Arch. Psychiatr. Nurs. 34, 4–18. doi: 10.1016/j.apnu.2019.12.007
Takagishi, Y., Sakata, M., and Kitamura, T. (2013). Influence of rumination and self-efficacy on depression in Japanese undergraduate nursing students. Asian J. Soc. Psychol. 16, 163–168. doi: 10.1111/ajsp.12000
Tedeschi, R. G., and Calhoun, L. G. (1996). The Posttraumatic Growth Inventory: measuring the positive legacy of trauma. J. Trauma. Stress. 9, 455–471. doi: 10.1002/jts.2490090305
Tedeschi, R. G., and Calhoun, L. G. (2004). Posttraumatic growth: conceptual foundations and empirical evidence. Psychol. Inq. 15, 1–18. doi: 10.1207/s15327965pli1501_01
The Ministry of Education of the People’s Republic of China. (2020). Principles of opening psychological support hotlines and network counseling services for the new coronavirus pneumonia in the education system. Available at: http://www.gov.cn/xinwen/2020-01/28/content_5472681.htm (Accessed July 18, 2020).
Treffinger, D. J. (2009). Myth 5: creativity is too difficult to measure. Gift. Child Q. 53, 245–247. doi: 10.1177/0016986209346829
Vahle-Hinz, T., Mauno, S., de Bloom, J., and Kinnunen, U. (2017). Rumination for innovation? Analysing the longitudinal effects of work-related rumination on creativity at work and off-job recovery. Work Stress 31, 315–337. doi: 10.1080/02678373.2017.1303761
Verhaeghen, P., Joorman, J., and Khan, R. (2005). Why we sing the blues: the relation between self-reflective rumination, mood, and creativity. Emotion 5, 226–232. doi: 10.1037/1528-3542.5.2.226
Verhaeghen, P., Joormann, J., and Aikman, S. N. (2014). Creativity, mood, and the examined life: self-reflective rumination boosts creativity, brooding breeds dysphoria. Psychol. Aesthet. Creat. Arts 8, 211–218. doi: 10.1037/a0035594
Wang, C., Pan, R., Wan, X., Tan, Y., Xu, L., Ho, C. S., et al. (2020). Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) epidemic among the general population in China. Int. J. Environ. Res. Public Health 17:1729. doi: 10.3390/ijerph17051729
Wang, Y., Yao, L., Liu, L., Yang, X., Wu, H., Wang, J., et al. (2014). The mediating role of self-efficacy in the relationship between big five personality and depressive symptoms among Chinese unemployed population: a cross-sectional study. BMC Psychiatry 14:61. doi: 10.1186/1471-244X-14-61
Wang, Q., Zhao, X., Yuan, Y., and Shi, B. (2021). The relationship between creativity and intrusive rumination among chinese teenagers during the COVID-19 pandemic: emotional resilience as a moderator. Front. Psychol. 11:601104. doi: 10.3389/fpsyg.2020.601104
Wiechman Askay, S., and Magyar-Russell, G. (2009). Post-traumatic growth and spirituality in burn recovery. Int. Rev. Psychiatry 21, 570–579. doi: 10.3109/09540260903344107
Wiedenfeld, S. A., O’Leary, A., Bandura, A., Brown, S., Seymour, L., and Raska, K. (1990). Impact of perceived self-efficacy in coping with stressors on components of the immune system. J. Pers. Soc. Psychol. 59, 1082–1094. doi: 10.1037/0022-3514.59.5.1082
Wu, D., Yu, L., Yang, T., Cottrell, R., Peng, S., Guo, W., et al. (2020). The impacts of uncertainty stress on mental disorders of Chinese college students: evidence from a nationwide study. Front. Psychol. 11:243. doi: 10.3389/fpsyg.2020.00243
Wu, X., Zhou, X., Wang, W., and Tian, Y. (2018). Dialectical understanding posttraumatic stress disorder and posttraumatic growth: a perspective of integration and comparison. J. Beij. Nor. Univ. (Soc. Sci.) 266, 41–50.
Wu, X., Zhou, X., Wu, Y., and An, Y. (2015). The role of rumination in posttraumatic stress disorder and posttraumatic growth among adolescents after the Wenchuan earthquake. Front. Psychol. 6:1335. doi: 10.3389/fpsyg.2015.01335
Xu, W., Jiang, H., Zhou, Y., Zhou, L., and Fu, H. (2019). Intrusive rumination, deliberate rumination, and posttraumatic growth among adolescents after a Tornado: the role of social support. J. Nerv. Ment. Dis. 207, 152–156. doi: 10.1097/NMD.0000000000000926
Ye, B., Wu, D., Im, H., Liu, M., Wang, X., and Yang, Q. (2020). Stressors of COVID-19 and stress consequences: the mediating role of rumination and the moderating role of psychological support. Child Youth Serv. Rev. 118:105466. doi: 10.1016/j.childyouth.2020.105466
Yehuda, R. (2002). Post-traumatic stress disorder. N. Engl. J. Med. 346, 108–114. doi: 10.1056/NEJMra012941
Yi, X., Chen, P., and Zhao, W. (2017). Creative achievements and affecters of eminent writers in Tang and Song dynasties: a historiometric account. J. Beij. Nor. Univ. (Soc. Sci.) 262, 33–40. doi: 10.3969/j.issn.1002-0209.2017.04.004
Zalewska-Puchala, J., Majda, A., Galuszka, A., and Kolonko, J. (2007). Health behaviour of students versus a sense of self-efficacy. Adv. Med. Sci. 52, 73–77.
Zhao, H., He, X., Fan, G., Li, L., Huang, Q., Qiu, Q., et al. (2020). COVID-19 infection outbreak increases anxiety level of general public in China: involved mechanisms and influencing factors. J. Affect. Disord. 276, 446–452. doi: 10.1016/j.jad.2020.07.085
Keywords: post-traumatic growth, creativity, deliberate rumination, general self-efficacy, mediated effect, moderated mediation model, COVID-19
Citation: Zeng W, Zeng Y, Xu Y, Huang D, Shao J, Wu J and Wu X (2021) The Influence of Post-Traumatic Growth on College Students’ Creativity During the COVID-19 Pandemic: The Mediating Role of General Self-Efficacy and the Moderating Role of Deliberate Rumination. Front. Psychol. 12:665973. doi: 10.3389/fpsyg.2021.665973
Edited by:
Maria Anna Coniglio, University of Catania, ItalyReviewed by:
Paolo Roma, Sapienza University of Rome, ItalyFrank Guangzhe, University of Macau, China
Baojuan Ye, Jiangxi Normal University, China
Copyright © 2021 Zeng, Zeng, Xu, Huang, Shao, Wu and Wu. 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: Yanhua Xu, eWFuaHVheHVlZHVAZm94bWFpbC5jb20=