Skip to main content

ORIGINAL RESEARCH article

Front. Psychol., 24 January 2024
Sec. Personality and Social Psychology

The relationship between ostracism and negative risk-taking behavior: the role of ego depletion and physical exercise

Fang Chen,&#x;Fang Chen1,2Jinhong Wang&#x;Jinhong Wang1Heng GaoHeng Gao1Yadi ZengYadi Zeng3Ziwei LiZiwei Li1Hongyu Zou
Hongyu Zou2*
  • 1College of Education and Sports Sciences, Yangtze University, Jingzhou, China
  • 2School of Psychology, South China Normal University, Guangzhou, China
  • 3School of Psychology, Shaanxi Normal University, Xi’an, China

Background: As a major public health problem globally, negative risk-taking behavior of college students may be related to their ostracism experience, but the reason for this association is unclear. Based on the limited resource theory, combined with the integrative model of athletic performance, we tested a moderated mediation model in which ego depletion mediated the association between ostracism and risk-taking, and physical exercise moderated the mediation process to examine the mechanisms underlying the association between ostracism and negative risk-taking behavior.

Methods: One thousand three hundred seven students (43% female) from four universities in China were recruited using cluster random sampling. The experience of being ostracized, ego depletion, physical exercise level, and negative risk-taking behavior were measured through an anonymous online questionnaire in “www.sojump.com.”

Results: After controlling for gender and grade in college, ostracism was positively related to negative risk-taking behavior; ego depletion mediated this relationship; and physical exercise level attenuated these direct and indirect relationships.

Conclusion: The results highlight individual risk and protective factors associated with negative risk-taking behavior, and provide new perspectives on ways to prevent and reduce college students’ negative risk-taking behavior.

1 Introduction

Negative risk-taking behavior is also often referred to as problematic behavior, dangerous behavior, etc., and mainly include dangerous driving, smoking, drunkenness, truancy, cheating, risky sexy behaviors, aggression, drug abuse, etc. (Hansen and Breivik, 2001). It had become a worldwide major public health problem, and was one of the leading causes for illness and death among people aged 18–24 years (Taghvaee and Mazandarani, 2022). Adolescence, defined as a period of high risk-taking behavior, which generally refers to the ages of 10–24 (Smetana et al., 2006; Sawyer et al., 2018; Zou et al., 2023). Late-adolescent (18–24) college students are at a crucial stage of transition from childhood to early adulthood. This is also a time when risky behaviors, such increasing alcohol use and risky sexual activity, are more common and prevalent (Duell et al., 2018; Liang et al., 2022). They are less mature than adults in terms of life experience, danger recognition and assessment skills, and self-control (Liang et al., 2022; Qiu et al., 2022). These characteristics may encourage college students to engage in negative risk-taking behavior. Therefore, it is important to focus research on this population.

In China, research found that the prevalence of dangerous behaviors, including unhealthy eating behaviors, daily risky behaviors, substance abuse behaviors, risky sexual behaviors among college students overall was 16.85% (Hu et al., 2023). Besides, the prevalence of cheating on exams is 10.6 and 41.1% for coursework and essay writing (Stiles et al., 2017; Wang and Xu, 2021) and is becoming more prevalent with the development of artificial intelligence (e.g., ChatGPT) (Hung and Chen, 2023). This places individuals at risk for physical and mental disease, untimely or needless death, and social issues including poverty, criminality, and academic failure (Taylor and Stupica, 2015; Dou et al., 2020a). It also puts society’s safety at risk (Wagemaker et al., 2020). In view of the current situation and the serious consequences of negative risk-taking behavior, this study aims to explore the susceptibility factors as well as the underlying mechanisms associated with negative risk-taking behaviors among college students.

Recent researchers have explored the causes of risk-taking behavior among college students in terms of personality, environment, and cognition (Jia et al., 2021; Oduaran and Agberotimi, 2021; Tyler and Brownridge, 2022). Among them, peer interactions and relationships are important influences on college students’ negative risk-taking behavior (Chinopfukutwa and Hektner, 2021). Humans are innately social and have a strong need to belong to groups, and to establish relatively positive and stable lasting social relationships with others to keep in physical and mental health (Leary and Baumeister, 1995). According to Niu et al. (2023), college students who are removed from the group are prone to have health and adjustment issues as well as the development of harmful behaviors. The feeling of exclusion is a risk factor for negative risk-taking behavior among college students, according to research that has focused on the relationship between ostracism and risk-taking behavior (Svetieva et al., 2015). However, the mechanisms between this process are still unclear. Therefore, in this study aimed to test the relationship between ostracism and negative risk-taking behavior and its underlying mechanisms in a sample of Chinese university students. This study enriches the related research on ostracism on negative risk-taking behavior of college students, and also provides a feasible direction for the prevention and reduction of negative risk-taking behavior of college students.

1.1 Ostracism and negative risk-taking behavior

Ostracism (being excluded and ignored), also known as social exclusion, is a pervasive phenomenon in our daily lives, often resulting in negative emotions and problematic behaviors (Williams, 2009). Ostracized adolescents have been shown to exhibit a higher tendency toward antisocial behavior, risky decision-making, and negative risk-taking behavior, whether the study used questionnaires or experimental virtual contextual methods (Duclos et al., 2013; Xu et al., 2023). The temporal need-threat model suggests that ostracism threatens the fulfillment of basic psychological needs (belonging, self-esteem, control and meaningful existence/need for recognition) (Williams, 2009). It is also a painful emotion and as with most responses to pain, negative emotions increase, including anxiety, sadness, and anger, while positive emotions decrease (Williams, 2007). When individuals are excluded, they feel alienated, helpless, and self-denial, causing dysfunctional cognitive-emotional abilities, which manifests more problem behaviors (Reiter-Scheidl et al., 2018; Zhang et al., 2022). A study on Chinese college students showed that experiencing ostracism depletes college students’ self-esteem. College students with low self-esteem are prone to ignore the risks behind the benefits and thus show more risk-taking behaviors (Meng, 2020).

Buelow and Wirth (2017) conducted two experimental studies with Australian university students. Experiment 1 manipulated exclusion using a network circle paradigm followed by completion of a balloon simulation risk task to measure risk-taking behavior. In Experiment 2, gambling risk-taking behavior was followed by controlled exclusion utilizing Atimia’s exclusion task, which produces exclusion effects by manipulating virtual players to exclude or include participants with word-associated objects. Both experiments’ results demonstrated that respondents who felt excluded exhibited significantly more risk-taking behavior; the impact was larger in Experiment 2, perhaps as a result of the experiment’s more demanding tasks requiring cognitive and self-control (Buelow and Wirth, 2017). The limited resource theory (Baumeister, 2003) provides an ideal framework for this result. The theory posits that human control resources are limited, and a series of maladaptive manifestations may occur by consuming too much self-control resources. Since ostracism, as a negative life event, exposes individuals to stressful and threatening situations that require them to use strategies such as cognitive regulation or emotional control to cope with them, it depletes self-control resources and leads to a failure of self-control, the adoption of unconventional thinking or behavioral activities, and the engagement in negative risk-taking behavior (Muraven et al., 1999). Certainly, ostracism does not always lead to negative experiences and outcomes. For instance, interpersonal alienation due to a higher tendency to be alone or a lack of social interest does not necessarily have a significant correlation with internalizing, externalizing problem behaviors (Coplan et al., 2013). At this point, it is important to explore other potential determinants at this time, such as antecedent anxiety and depression symptoms. In the present study, ostracism relates more to being passive ignored and rejected passively and exists primarily as an external stressors and threatening stimulus. According to the generalized strain theory, the stress experienced by an individual is the main cause of undesirable behavior (Agnew et al., 2002). We thus hypothesize that among college students that ostracism may be positively associated with more negative risk-taking behaviors.

1.2 Ego depletion as a mediator

Self-control is a key individual factor influencing adolescents’ negative risk-taking behavior (Jia et al., 2021). However, it is a limited resource, and low reserves create a state known as ego depletion (Tangney et al., 2004; Baumeister and Tice, 2007). Specifically, ego depletion refers to the state of temporary decline in self-control ability or willingness to perform volitional behaviors due to previous self-control tasks or volitional exercises depleting an individual’s limited self-control resources (Bratslavsky et al., 1998; Baumeister and Vohs, 2016). Based on the limited resource theory (Baumeister, 2003), the threats to an individual’s resources or needs from exclusion constitute an external stressors that depletes limited self-control resources and enters ego depletion (Wang and Zhang, 2020). This state is often accompanied by a decrease or failure in self-control, resulting in a range of problematic behaviors (Hagger et al., 2010; Mead et al., 2010). Therefore, ego depletion may mediate the relationship between ostracism and negative risk-taking behavior.

Many scenarios and behaviors produce ego depletion, such as stress coping, negative experiences, emotion regulation, thought suppression, and impulse control (Baumeister et al., 2007). Researches have proven that ostracism appears to be correlated with ego depletion, when individuals perceive ostracism, they need to consume significant self-control resources to regulate the negative thoughts and emotions associated with it, such as stress, sadness, and the desire for revenge (Lee et al., 2016; Kavakli, 2021). Baumeister et al.’s (2005) experiment, with 30 undergraduate students as subjects, manipulated social exclusion by randomly assigning people to receive bogus feedback about the future trajectory of their social lives. Participants in the exclusion group performed worse than those in the acceptance group in subsequent binaural split-listening tasks requiring self-control resources, and that individuals who experience ostracism were prone to develop ego depletion (Baumeister et al., 2005). According to recent research, college students who were socially ostracized and given challenging arithmetic assignments as separate ego depletion tests showed higher ego depletion effects when performing a later self-regulation challenge, which resulted in lower math academic performance (Saldivar, 2018). Thus, individuals deplete resources in social exclusion situations, and thus show relatively low performance on subsequent tasks is an outward manifestation of ego depletion.

Moreover, ego depletion theory suggests that individuals under ego depletion experience a weakening or loss of self-regulation, which increases the likelihood of negative psychological and problematic behaviors (e.g., excessive procrastination, substance dependence, excessive alcohol consumption, violent behaviors, irrational spending, risky sex, and unhealthy dietary habits) (Muraven, 2012; Baumeister, 2014). Research has found that ego depletion, in particular, promotes risk-taking behaviors with immediate rewards and delayed consequences, allowing individuals to prefer immediate gratification over long-term gains (Unger and Stahlberg, 2011). For example, ego depletion increases the probability of online risk-taking and unethical behaviors such as aggressive speech and violent behavior among college students (Ding et al., 2020a). Ego depletion may lead to increased alcohol consumption, failure to quit smoking, unhealthy eating, and risky sexual behavior among college students (Gissubel et al., 2018). In study with adolescents, individuals in ego depletion show higher negative emotions, lower information processing ability, and higher aggression (Chen et al., 2023). Therefore, we assume that ego depletion may mediate the relationship between ostracism and negative risk-taking behavior.

1.3 Physical exercise as a moderator

With the development of sport psychology, the protective effects of physical activity on an individual’s physical and mental health are becoming more widely acknowledged. Researchers have documented the role of physical exercise in reducing stress, improving emotional state, promoting cognitive function, and reducing the occurrence and development of psychological and behavioral problems (Jiang et al., 2018; Elbe et al., 2019; Smith and Merwin, 2021). Previous evidence suggests that physical exercise released college students’ stress and was beneficial in reducing internalizing problems such as anxiety and depression, as well as externalizing problems such as risk-taking and impulsivity (Herbert et al., 2020). Meanwhile, physical exercise also has positive effects in reducing withdrawal symptoms, decreasing the desire to smoke, controlling drinking behavior, and reducing antisocial behavior (Abrantes et al., 2017; Jackson and Beaver, 2018; Bock et al., 2019). Similarly, physical exercise was found to be effective in suppressing aggressive behaviors during the COVID-19 in China (Jiang, 2022). The integrative model of athletic performance emphasizes that playing sports produces positive cognitive, emotional, and physiological experiences, improves self-control, and alleviates negative emotions that protect physical and mental health (Huang et al., 2023). This can be seen as a moderating mechanism for physical exercise.

According to the limited resources theory, all self-control activities are dependent on limited resources and that ego depletion occurs when the performance of self-control is impaired (Heatherton and Baumeister, 1996). However, ego depletion is only temporary and energy resources can be recovered (Muraven and Baumeister, 2000). Physical exercise can recover energy resources. Exercise can train individuals’ strength (baseline ability) and endurance (ability to tolerate exertion) to improve self-control and reduce energy loss (Muraven et al., 1999). Previous research has demonstrated that mental energy resources are not only restored but enhanced through sustained exercise behaviors (Finley and Schmeichel, 2019). These energy resources help to broaden the mind and maintain focus, accompanied by more positive emotional experience, which counteracts negative emotions triggered by adverse environmental factors (e.g., ostracism), reduces psychological stress, and alleviate ego depletion (Huang et al., 2023). Additionally, evidence suggests that physical exercise can mitigate the negative effects of external risk environments (e.g., stress, family conflict, school bullying, etc.) on individuals’ mood and cognition (negative emotions, cognitive maladjustments), acting as a stress buffer (Sigfusdottir et al., 2011; Brown and Lawton, 2015; Kirklewski et al., 2020) and further reduces the likelihood of risk-taking behavior among college students (Newman et al., 2017). Therefore, we assume that physical exercise may moderate the relationship between and negative risk-taking behavior, as well as the impact of ego depletion as a mediator of this effect.

1.4 The present study

Many previous studies have examined the independent effects of ostracism or ego depletion on negative risk-taking behaviors among college students, but few studies have combined them and lacked research exploring the protective mechanisms involved. Physical exercise, as a significant factor influencing the mental health and behavior of college students (Tao et al., 2020), it may also have an influence on the relationships between ostracism, ego depletion, and negative risk-taking behavior. Therefore, the present study tested the relationship between ostracism and risk-taking in a sample of college students in China. Using the conceptual frameworks of ego depletion theory and the integrative model of athletic performance, a moderated mediation model (Figure 1) was constructed to test the following hypotheses.

Figure 1
www.frontiersin.org

Figure 1. The proposed moderated mediation model.

Hypothesis 1: Ostracism will be positively related to negative risk-taking behavior.

Hypothesis 2: Ego depletion will mediate the relationship between ostracism and negative risk-taking behavior.

Hypothesis 3: Physical exercise will moderate the whole effect paths of ostracism on negative risk-taking behavior. Specifically, physical exercise will moderate the association between ostracism and ego depletion, ostracism and negative risk-taking behavior, ego depletion and negative risk-taking behavior.

2 Method

2.1 Participants and procedure

An online questionnaire was administered to non-physical education majors from four universities in Jingzhou and Wuhan, China, using cluster random sampling, with informed consent from their classroom teachers and students. The primary examiner was a master’s student majoring in psychology. Before any data were collected, the main assessor would provide guidance to the participants and ask them to raise their hands if they had any questions during the answering period, and allow them to stop asking questions at any time without facing any consequences. Meanwhile, subjects were told that this survey was a psychological screening and that it was voluntary and unpaid. Students completed the questionnaires using a mobile application called Sojump (www.sojump.com), and all questionnaires are completed anonymously and results can only be submitted if each question is completed. All participants signed a written informed consent form, and the study was approved by the Ethics Committee of the College of Education and Sports Sciences, Yangtze University.

A total of 1,488 questionnaires was received. Of these, 181 questionnaires were considered invalid and excluded because of the response time (5–25 min) or results (no obvious carelessness in completing the questionnaires); this constituted a validity rate of 87.84%. In the final sample of 1,307 participants, there were 750 (57.38%) men and 557 (42.62%) women. There were 465 (35.58%) freshmen, 445 (34.05%) sophomores, 281 (21.50%) juniors, and 116 (8.87%) seniors.

2.2 Measures

2.2.1 Ostracism

Ostracism was measured by the Ostracism Experience Scale for Adolescents (OES-A), which was developed by Gilman et al. (2013) and revised by Niu et al. (2016). This scale consists of 11 items (e.g., “In general, my classmates seem to ignore me.”) that form two dimensions of ignorance and rejection. The scale is scored on a 5-point scale from “1 = strongly disagree” to “5 = strongly agree,” with the final score being the average of the 11 items, with higher scores indicating higher ostracism. In the present study, the Cronbach’s α was 0.85.

2.2.2 Ego depletion

Ego depletion was measured by the Ego Depletion Scale, which was developed by Lanaj et al. (2014) and proved to be widely applicable to Chinese college students (Lanaj et al., 2014; Ding et al., 2020b; Liu et al., 2023). This scale consists of five items (e.g., “I have been feeling low energy lately”) on a 5-point scale, ranging from “1 = not at all” to “5 = completely.” The final score is the average of 5 items, the higher the score, the higher the ego depletion. In the present study, the Cronbach’s α was 0.95.

2.2.3 Physical exercise

Physical exercise was measured by the Physical Activity Rating Scale (PARS-3) (Liang, 1994). This scale consists of three items that measure physical exercise in terms of intensity, time, and frequency. The intensity and frequency of physical exercise, according to the usual situation, are divided into 5 levels and scored from 1 to 5 (light exercise (e.g., walking, radio exercises, etc.)/one time a month or less to intense, continuous and long-lasting exercise (e.g., intense running, martial arts or aerobics exercises, swimming, etc.)/about one times a day), and the duration of physical exercise is scored 0 to 4 (the duration of each physical exercise is 10 min or less to 60 min or more). The level scores for the three items are combined using the formula: Amount of Exercise = Intensity ×Time × Frequency. The higher the score, the higher the level of physical exercise. In the present study, the Cronbach’s α was 0.71.

2.2.4 Negative risk-taking behavior

Negative risk-taking behavior was measured by the Chinese version of the Adolescent Risk-Taking Behavior Scale, which was developed by Gullone et al. (2000) and revised by Zhang et al. (2011). The measure has four parts, namely stimulus seeking, recklessness, rebellion, and antisociality. The three remaining parts are thought to represent negative risk-taking behaviors, whereas stimulus seeking activities are thought to be positive or socially acceptable (Moore et al., 2004). Following the practice of previous studies (Liu et al., 2019; Jia et al., 2021), only the last three negative dimensions, with a total of 12 items (e.g., “making fun of or bullying others”), were used as indicators of negative risk-taking behavior. Each item is scored on a 5-point scale, ranging from “0 = never” to “4 = always.” The final score is the average of 12 items for recklessness, rebelliousness, and antisociality, with higher scores indicating higher levels of negative risk-taking behavior. In the present study, the Cronbach’s α was 0.94.

2.3 Data analysis

First, SPSS 26.0 was used to test common method bias and collinearity and to generate descriptive statistics and Pearson correlations among study variables. Second, all variable scores were standardized and the hypotheses were tested using the PROCESS 3.4 macro in SPSS 26.0 (Hayes, 2013). Hypothesis 1 and 2 (regarding mediation) were tested by Model 4 in the macro, and Hypothesis 3 (regarding moderated mediation) was tested in Model 59 in the macro. Last, the two models were tested using a bias-corrected percentile Bootstrap method with 95% confidence interval. An effect is considered significant when the confidence interval does not include 0. Gender and grade were controlled for in in tests of the hypotheses because previous studies found them to be closely related to the main variables of the current study (García et al., 2014; Ding et al., 2020a; Sun et al., 2021).

3 Results

3.1 Common method bias and collinearity

All data were collected from participants’ self-reports, raising the concern of common method bias. An exploratory factor analysis of all items from all of the self-report measures (Ostracism Experience Scale for Adolescents, Ego Depletion Scale, Physical Activity Rating Scale, and Negative Risk-taking Behavior Scale) identified five factors with characteristic roots greater than 1. The first factor explained 36.50% of the variance in this set of scores. According to Harmon’s single factor test, this value is lower than the cutoff of 40%, suggesting that there was no substantial common method variance.

3.2 Collinearity test

Because the analyses used linear regression and the main study variables were significantly inter-correlated, two tests of collinearity were conducted. Tolerance was greater than 0.1 (0.84–1.00) and the variance inflation factor (VIF) was less than 3 (1.04–1.19), indicating no serious multicollinearity.

3.3 Preliminary analyses

The descriptive statistics and correlations are shown in Table 1. Ostracism was positively correlated with ego depletion and negative risk-taking behavior (r = 0.25, 0.27, p < 0.001), ego depletion was negatively correlated with negative risk-taking behavior (r = 0.37, p < 0.001), and physical exercise was negatively correlated with ego depletion and negative risk-taking behavior (r = −0.34, −0.47, p < 0.001).

Table 1
www.frontiersin.org

Table 1. Means, standard deviations, and correlations among the main study variables.

3.4 Testing for mediation effect

Model 4 in the SPSS PROCESS 3.4 macro (Hayes, 2013) was used to analyze the mediation effect. In this study, it assumes that the independent variable (ostracism) will have an effect on the dependent variable (negative risk-taking behavior) through the mediating variable (ego depletion) and thus the dependent variable. The main variables in the data were standardized and after controlling for gender and grade, the results are shown in Table 2 and Figure 2. In support of Hypothesis 1, ostracism was associated with negative risk-taking behavior (β = 0.25, p < 0.001). In partial support of Hypothesis 2, this association was lower, but remained significant, after including ego depletion as a mediator (β = 0.16, p < 0.001). Ostracism was positively associated with ego depletion (β = 0.26, p < 0.001); ego depletion was positively associated with negative risk-taking behavior (β = 0.34, p < 0.001). In addition, the bootstrap 95% confidence interval did not include 0 either for the direct effect of ostracism on negative risk-taking behavior (0.11, 0.21), or for the indirect effect via ego depletion (0.07, 0.12). Thus, ostracism not only directly predicted negative risk-taking behavior, but also indirectly predicted negative risk-taking behavior through ego depletion, with ego depletion playing a partially mediating role. The direct and indirect effects contributed 64.00 and 36.00% to the total effect, respectively (Table 3).

Table 2
www.frontiersin.org

Table 2. Regression analysis of the mediating effect of ego depletion.

Figure 2
www.frontiersin.org

Figure 2. Mediation analysis. ***p < 0.001.

Table 3
www.frontiersin.org

Table 3. Mediation effect test.

3.5 Moderated mediation effect analysis

Hypothesis 3 proposed a moderated mediation model. This moderated mediation model was tested using Model 59 in SPSS PROCESS 3.4 (Hayes, 2013), which assumes that the direct path and indirect path are all moderated by the physical exercise, which is consistent with the assumptions of this study. The main variables in the data were standardized and incorporating physical exercise as a moderating variable based on the mediation model, the results are presented in Figure 3 and Table 4. The interaction between ostracism and physical exercise was a significant predictor of both ego depletion (β = −0.11, p < 0.001) and negative risk-taking behavior (β = −0.12, p < 0.001); the product of ego depletion and physical exercise was significantly related to negative risk-taking behavior (β = −0.23, p < 0.001).

Figure 3
www.frontiersin.org

Figure 3. Moderated mediation analysis. ***p < 0.001.

Table 4
www.frontiersin.org

Table 4. Regression analysis of the moderating effect of physical exercise.

Simple slopes tests were used to interpret these significant interactions. Physical exercise scores were dichotomized as low (M − 1 SD) or high (M + 1 SD). As shown in Figure 4, the predictive effect of ostracism on ego depletion was significantly higher for individuals with low physical exercise (β = 0.32, t = 8.76, p < 0.001) than for those with high physical exercise (β = 0.09, t = 2.72, p < 0.01), indicating that the effect of ostracism on ego depletion was weaker as physical exercise increased. As shown in Figures 5, 6, in the low physical exercise group there were significant effects of ostracism (β = 0.20, t = 6.34, p < 0.001) and ego depletion (β = 0.43, t = 13.76, p < 0.001) on negative risk-taking behavior. However, in the high physical exercise group, ostracism (β = −0.05, t = −1.65 p > 0.05) and ego depletion (β = −0.04, t = −1.22, p > 0.05) were not significantly associated with negative risk-taking behavior.

Figure 4
www.frontiersin.org

Figure 4. Moderating effect of physical exercise on the relationship between ostracism and ego depletion.

Figure 5
www.frontiersin.org

Figure 5. Moderating effect of physical exercise on the relationship between ostracism and negative risk-taking behavior.

Figure 6
www.frontiersin.org

Figure 6. Moderating effect of physical exercise on the relationship between ego depletion and negative risk-taking behavior.

4 Discussion

4.1 Ostracism and negative risk-taking behavior

The findings showed that ostracism was associated with more negative risk-taking, which supported Hypothesis 1 and was consistent with previous research (Meng, 2020). Ostracism appears to be a significant risk factor for negative risk-taking behavior among Chinese college students, which is consistent with the limited-resource theory (Baumeister, 2003). Ostracism can have negative effects on an individual’s self-control resources and self-regulation ability. These have a close relationship with people’s decision-making behavior in response to complex risk situations, it is a significant predictor of negative risk-taking behavior among college students (Xu et al., 2015). In addition, ostracism as a stressful event can cause adolescents to develop negative emotions (anger, frustration and sadness) or to undermine basic psychological needs in order to alleviate emotions and maintain psychological equilibrium through stimulating, rebellious, and antisocial risk-taking behaviors (Williams, 2009; DeBono and Muraven, 2014; He et al., 2021). Examples include smoking, drinking, drug use, fighting and truancy. Therefore, how to prevent and reduce the occurrence of ostracism is a key concern for families and schools. Reducing ostracism and promoting harmonious interpersonal relationships can be an effective way to prevent college students from engaging in negative risk-taking behaviors. Simultaneously, some studies have shown that cumulative ecological risk affects college students’ risky behaviors, and the more stressful the external environment is, the higher the incidence of risky behaviors (Dou et al., 2020a; Hu et al., 2023). This suggests that apart from ostracism, attention should also be paid to reducing other ecological risk factors in the developmental environment of college students (e.g., family support, faculty-student relationships, and school connections) to control the occurrence of their negative risk-taking behavior.

4.2 The mediating role of ego depletion

Consistent with Hypothesis 2, ego depletion mediated the relationship between ostracism and negative risk-taking behavior, which is similar to a previous study (Dewall et al., 2012; Buelow and Wirth, 2017). That is, once college students consume excessive self-control resources to defend themselves against external pressures from or after ostracism, they are prone to ego depletion, which leads to negative risk-taking behavior. This suggests that we should think about how to go about enhancing college students’ self-control resources and preventing ego depletion. The results likewise provide empirical support for the limited resources theory. The theory suggests that external stressful events (ostracism) can cause stress to individuals. The processes of coping with stress (e.g., suppressing emotions, monitoring stimuli, denial, etc.) all require a person to change or stop current thoughts, emotions, or behaviors. This is a prerequisite for exhausting self-control resources. Adapting to stress can deplete self-control resources even when the stress itself is over. The consequence of depletion is a loss of self-control and difficulty in suppressing the desire and urge to engage in risk-taking behavior. This demonstrates that depletion of self-control resources is an important potential mechanism by which ostracism influences negative risk-taking behavior among college students. This finding also holds true for online interpersonal relationships in the information age, where it has been demonstrated that online social exclusion depletes an individual’s limited resources of self-control and inability to regulate perceptions, emotions, and behaviors about themselves, thus increasing the risk of externalizing problematic behaviors (Huang and Xin, 2023).

In our study, ostracized college students were more prone to ego depletion whether they were coping with distress by repressing or regulating negative emotions or maintaining psychological balance and gaining a sense of being. This is because these demands and efforts depleted their self-control resources (Baumeister, 2003; Huang and Xin, 2023). This finding supports previous research that excluded college students experience distressing and negative emotions, and self-regulation requires mobilization of resources in the self-control system, and that a lack of resources in subsequent cognitive processes increases the likelihood of ego depletion (Baumeister et al., 2005). College students in ego depletion have weakened attention and willpower, and their daily tolerance and judgment are reduced, with which behavioral inhibition is weakened, thus they may engage in potentially destructive behaviors, such as increased alcohol consumption and excessive alcohol consumption, drug use, aggression, or impulsive spending (Bishop, 2017; Dou et al., 2020b). This also supports the ego depletion theory, which states that an individual’s ability to regulate behavior decreases in a state of ego depletion, further affecting the individual’s behavior (Baumeister, 2014). Therefore, ego depletion is an important bridge between ostracism and negative risk-taking behavior. The likelihood of negative risk-taking behavior can be reduced by reducing college students’ ego depletion.

4.3 The moderating role of physical exercise

In the current study, physical exercise level (intensity, frequency, duration) attenuated the effects of ostracism on negative risk-taking behavior. This finding is consistent with Hypothesis 3, and partially consistent with the results of a related study (Schoendube et al., 2017). Physical exercise also weakened the influence of ego depletion as a mediator of the association between ostracism and risk-taking. The results are consistent with the integrative model of athletic performance (Huang et al., 2023). According to this model, physical exercise, as an activity beneficial to physical and mental health, can enhance positive emotional experiences and self-control by mitigating the influence of unfavorable external factors. In the case of the current study, this external factor was the experience of ostracism.

The self-control energy model also supports the results,which maintains that physical exercise can help individuals regulate their self-control, reduce the depletion of their self-control resources, and free themselves from repression and impulsivity (Wang et al., 2022). Earlier studies have also demonstrated that exercise can increase the amount and endurance of self-control, and motor exercise immediately prior to cognitive skill training can aid in the rapid recovery of cognitive control resources during subsequent skill completion (Ludyga et al., 2018). These results, and our own, suggest that reasonable physical exercise can enhance the self-control resource reserves and reduce the risk of entering into ego depletion after the experience of ostracism.

Similarly, studies have pointed out that physical exercise can help college students cope with external risk factors (ostracism) to inhibit risk-taking behavior. This because physical exercise can enhance cognitive abilities, social interaction skills, and emotion management skills (Culpepper and Killion, 2017; Tao et al., 2023). They can effectively distract themselves from stressful stimuli, counteract negative emotions, and improve negative cognition to Khoury-Kassabri and Schneider (2018) and Watson et al. (2017). In addition, a study has shown that part of the risk-taking behavior can also be released through the mental and physical energy of physical exercise (physical fitness and impulsive desire, rather than the self-control resource) (Park et al., 2021). In fact, this is also a process of controlling the self and detaching from depletion, which is beneficial for the purpose of preventing and controlling risk-taking behavior. This suggests that physical exercise can help college students cope with negative risk-taking behavior associated with ostracism and ego depletion and is a protective factor for physical and mental health. Nevertheless, the phenomenon of lack of exercise among college students in China is widespread, for example, a recent large-sample cross-sectional study revealed that as high as 76.0% of college students lacked exercise (Hu et al., 2023). Therefore, it is very necessary to encourage college students to participate in sports and scientifically guide them to exercise reasonably.

However, high-level physical exercise did not moderate the relationships among ostracism, ego depletion, and negative risk-taking behavior. This could be because medium physical exercise is a value threshold that has been recognized by national and international studies (Bull et al., 2020). Previous studies have shown that moderate and low-level physical exercise have a more pronounced positive effect on individual psychology and behavior, and exercise intensity has an inverted U-shaped relationship with cognitive function (Wang et al., 2016). Specifically, high-level physical exercise may lead to transient cognitive impairment, an inability to regulate problematic behaviors caused by adverse factors, and possibly even negative outcomes (drinking, fighting, etc.) (Wang and Gathercole, 2013; Peng, 2022). In addition, there are certain commonalities among participation in sports, physical exercise, and risk-taking behavior. Athleticism, especially when competitive, commonly involves aggression (Black et al., 2013). College students may not benefit from the positive effects of physical exercise if they are in this environment for a prolonged period. Therefore, proper physical exercise is a beneficial factor, but we should try to avoid high-intensity, high-frequency, and high-duration exercise.

4.4 Limitations and ideas

This study is not without limitations. First, the effect of ostracism on negative risk-taking behavior may be related to the type and duration of ostracism, and these characteristics were not assessed (I am making this up) “Ostracism by residents in a college dormitory may be especially distressing to students.” Second, the results of this study are limited by the cross-sectional design, which may compromise the establishment of a causal relationship. In China, negative risk-taking behavior is not recognized by the general public; therefore, it is possible that negative risk-taking behavior can lead to the ostracism of individuals. Longitudinal and experimental studies will be helpful in further delineating the association between ostracism and risk-taking behavior. For example, an experiment that ostracism was manipulated through the Cyberball paradigm, and risk-taking behavior was measured using Balloon Analog Risk Task, which confirmed the positive effect of ostracism on risk-taking behavior. Third, the study did not measure the type and duration of ostracism, and used a composite measure of risk-taking that could not identify specific risky behaviors associated with ostracism.

5 Conclusion

In this study, a moderated mediation model was tested in order to explore the relationship between ostracism and negative risk-taking behaviors of Chinese college students and its internal mechanisms. The study has demonstrated that ostracism was positively associated with Chinese college students’ negative risk-taking behavior. Moreover, ego depletion mediated the relationship between ostracism and negative risk-taking behavior. Simultaneously, low and moderate physical exercise was a protective factor that mitigated these direct and indirect effects.

The results of this study have implications for current models’ conceptualizations of the effects of ostracism. Tests of the moderated mediation model provided evidence of how (the mediating role of ego depletion) and when (the moderating role of physical exercise) ostracism influences Chinese college students’ negative risk-taking behavior. Baumeister’s limited resource theory provides a good framework for the mediating mechanism in this study, which is also enriched with evidence related to the kind of external stressful environments that ego depletion can be influenced by. Additionally, we combined physical exercise with ego depletion mechanisms, which greatly enriches limited resource theory and theories about physical exercise as an individual protective factor.

The results also have some practical implications for fostering the wellbeing of college students. Ostracism is a direct risk factor for ego depletion and negative risk-taking behavior. College students could be educated on the effects of ostracism and alternatives to ostracizing group members. The prevention of ego depletion could be included in any self-care initiatives or programs designed to reduce risk-taking behaviors such as alcohol abuse. Students can also be encouraged to engage in physical exercise and sports as a way to strengthen self-regulation. One example is the “trail running app” adopted by some universities in Hubei Province in China. This app uses a credit system to reward daily exercise.

Data availability statement

The datasets presented in this article are not readily available because the datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request. Requests to access the datasets should be directed to HZ, em91aG9uZ3l1MjAxNkAxNjMuY29t.

Ethics statement

The studies involving humans were approved by the ethics committee of Yangtze university. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

FC: Writing – original draft. JW: Writing – original draft. HG: Writing – review & editing. YZ: Writing – review & editing. ZL: Writing – review & editing. HZ: Writing – review & editing.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by The Key Project of Hubei Province Education Science Plan in 2023, No. 2023GA034.

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.

References

Abrantes, A. M., Scalco, M. D., O'Donnell, S., Minami, H., and Read, J. P. (2017). Drinking and exercise behaviors among college students: between and within-person associations. J. Behav. Med. 40, 964–977. doi: 10.1007/s10865-017-9863-x

PubMed Abstract | Crossref Full Text | Google Scholar

Agnew, R., Brezina, T., Wright, J. P., and Cullen, F. T. (2002). Strain, personality traits, and delinquency: extending general strain theory. Criminology 40, 43–72. doi: 10.1111/j.1745-9125.2002.tb00949.x

Crossref Full Text | Google Scholar

Baumeister, R. F. (2003). Ego depletion and self-regulation failure: a resource model of self-control. Alcohol. Clin. Exp. Res. 27, 281–284. doi: 10.1097/01.Alc.0000060879.61384.A4

PubMed Abstract | Crossref Full Text | Google Scholar

Baumeister, R. F. (2014). Self-regulation, ego depletion, and inhibition. Neuropsychologia 65, 313–319. doi: 10.1016/j.neuropsychologia.2014.08.012

PubMed Abstract | Crossref Full Text | Google Scholar

Baumeister, R. F., DeWall, C. N., Ciarocco, N. J., and Twenge, J. M. (2005). Social exclusion impairs self-regulation. J. Pers. Soc. Psychol. 88, 589–604. doi: 10.1037/0022-3514.88.4.589

Crossref Full Text | Google Scholar

Baumeister, R. F., and Tice, D. M. (2007). The strength model of self-control. Curr. Dir. Psychol. Sci. 16, 351–355. doi: 10.1556/0406.18.2017.010

Crossref Full Text | Google Scholar

Baumeister, R. F., and Vohs, K. D. (2016). Misguided effort with elusive implications. Perspect. Psychol. Sci. 11, 574–575. doi: 10.1177/1745691616652878

PubMed Abstract | Crossref Full Text | Google Scholar

Baumeister, R. F., Vohs, K. D., and Tice, D. M. (2007). The strength model of self-control. Curr. Dir. Psychol. Sci. 16, 351–355. doi: 10.1111/j.1467-8721.2007.0053

Crossref Full Text | Google Scholar

Bishop, T. (2017). The effects of Ego depletion and emotional intelligence on risk-taking. UNF Graduate Theses and Dissertations :759. Available at: https://digitalcommons.unf.edu/etd

Google Scholar

Black, A. C., Hochman, E., and Rosen, M. I. (2013). Acute effects of competitive exercise on risk-taking in a sample of adolescent male athletes. J. Appl. Sport Psychol. 25, 175–179. doi: 10.1080/10413200.2012.704621

PubMed Abstract | Crossref Full Text | Google Scholar

Bock, B. C., Dunsiger, S. I., Rosen, R. K., Thind, H., Jennings, E., Fava, J. L., et al. (2019). Yoga as a complementary therapy for smoking cessation: results from BreathEasy, a randomized clinical trial. Nicotine Tob. Res. 21, 1517–1523. doi: 10.1093/ntr/nty212

PubMed Abstract | Crossref Full Text | Google Scholar

Bratslavsky, E., Muraven, M., and Tice, D. M. (1998). Ego depletion: is the active self a limited resource? J. Pers. Soc. Psychol. 74, 1252–1265. doi: 10.1037/0022-3514.74.5.1252

Crossref Full Text | Google Scholar

Brown, J. D., and Lawton, M. (2015). Stress and well-being in adolescence: the moderating role of physical exercise. J. Hum. Stress. 12, 125–131. doi: 10.1080/0097840X.1986.9936777

Crossref Full Text | Google Scholar

Buelow, M. T., and Wirth, J. H. (2017). Decisions in the face of known risks: ostracism increases risky decision-making. J. Exp. Soc. Psychol. 69, 210–217. doi: 10.1016/j.jesp.2016.07.006

Crossref Full Text | Google Scholar

Bull, F. C., Al-Ansari, S. S., Biddle, S., Borodulin, K., Buman, M. P., Cardon, G., et al. (2020). World Health Organization 2020 guidelines on physical activity and sedentary behaviour. Br. J. Sports Med. 54, 1451–1462. doi: 10.1136/bjsports-2020-102955

PubMed Abstract | Crossref Full Text | Google Scholar

Chen, Y., Zhang, Y., Han, N., and Wang, K. (2023). The effect of campus exclusion on middle school students' deviant behavior online: the sequential mediating role of relative deprivation and self-control. Psychol. Dev. Educ. 39, 887–894. doi: 10.16187/j.cnki.issn1001-4918.2023.06.15

Crossref Full Text | Google Scholar

Chinopfukutwa, V. S., and Hektner, J. M. (2021). Peer crowd affiliations as predictors of prosocial and risky behaviors among college students. J. Am. Coll. Heal. 70, 1231–1240. doi: 10.1080/07448481.2020.1790574

PubMed Abstract | Crossref Full Text | Google Scholar

Coplan, R. J., Rose-Krasnor, L., Weeks, M., Kingsbury, A., Kingsbury, M., and Bullock, A. (2013). Alone is a crowd: social motivations, social withdrawal, and socioemotional functioning in later childhood. Dev. Psychol. 49, 861–875. doi: 10.1037/a0028861

PubMed Abstract | Crossref Full Text | Google Scholar

Culpepper, D., and Killion, L. (2017). Effects of exercise on risk-taking. Phys. Activity Rev. 5, 1–5. doi: 10.16926/par.2017.05.01

Crossref Full Text | Google Scholar

DeBono, A., and Muraven, M. (2014). Rejection perceptions: feeling disrespected leads to greater aggression than feeling disliked. J. Exp. Soc. Psychol. 55, 43–52. doi: 10.1016/j.jesp.2014.05.014

Crossref Full Text | Google Scholar

Dewall, C. N., Gilman, R., Sharif, V., Carboni, I., and Rice, K. G. (2012). Left out, sluggardly, and blue: low self-control mediates the relationship between ostracism and depression. Pers. Individ. Diff. 53, 832–837. doi: 10.1016/j.paid.2012.05.025

Crossref Full Text | Google Scholar

Ding, Q., Zhang, Y., and Zhou, Z. (2020a). Relative deprivation and college students’ online flaming: mediating effect of ego depletion and gender difference. Psychol. Dev. Educ. 36, 200–207. doi: 10.16187/j.cnki.issn1001-4918.20200209

Crossref Full Text | Google Scholar

Ding, Q., Zhang, Y. X., and Zhou, Z. K. (2020b). Misplaced fear and social networking site addiction: a mediated model with moderation. Psychol. Sci. 43, 1140–1146. doi: 10.16719/j.cnki.1671-6981.20200516

Crossref Full Text | Google Scholar

Dou, K., Lin, X. Q., and Wang, Y. J. (2020a). Negative parenting and risk-taking behaviors in Chinese adolescents: testing a sequential mediation model in a three-wave longitudinal study. Children Youth Services Rev. 119:105631. doi: 10.1016/j.childyouth.2020.105631

Crossref Full Text | Google Scholar

Dou, K., Wang, L., Li, J.-B., Wang, G., Li, Y., and Huang, Y. (2020b). Mobile phone addiction and risk-taking behavior among Chinese adolescents: a moderated mediation model. Int. J. Environ. Res. Public Health 17:5472. doi: 10.3390/ijerph17155472

PubMed Abstract | Crossref Full Text | Google Scholar

Duclos, R., Wan, E. W., and Jiang, Y. (2013). Show me the honey! Effects of social exclusion on financial risk-taking. J. Consum. Res. 40, 122–135. doi: 10.1086/668900

Crossref Full Text | Google Scholar

Duell, N., Steinberg, L., Icenogle, G., Chein, J., Chaudhary, N., Di Giunta, L., et al. (2018). Age patterns in risk taking across the world. J. Youth Adolesc. 47, 1052–1072. doi: 10.1007/s10964-017-0752-y

Crossref Full Text | Google Scholar

Elbe, A. M., Lyhne, S. N., Madsen, E. E., and Krustrup, P. (2019). Is regular physical activity a key to mental health? Commentary on "association between physical exercise and mental health in 1.2 million individuals in the USA between 2011 and 2015:a cross-sectional study", by Chekroud et al., published in lancet Psychiat. J. Sport Health Sci. 8, 6–7. doi: 10.1016/j.jshs.2018.11.005

Crossref Full Text | Google Scholar

Finley, A. J., and Schmeichel, B. J. (2019). Aftereffects of self-control on positive emotional reactivity. Personal. Soc. Psychol. Bull. 45, 1011–1027. doi: 10.1177/0146167218802836

PubMed Abstract | Crossref Full Text | Google Scholar

García, A. V., Du, X., Li, J., and Du, X. (2014). Testing risk-taking behavior in Chinese undergraduate students. PLoS One 9:e97989. doi: 10.1371/journal.pone.0097989

Crossref Full Text | Google Scholar

Gilman, R., Carter-Sowell, A., Dewall, C. N., Adams, R. E., and Carboni, I. (2013). Validation of the ostracism experience scale for adolescents. Psychol. Assess. 25, 319–330. doi: 10.1037/a0030913

PubMed Abstract | Crossref Full Text | Google Scholar

Gissubel, K., Beiramar, A., and Freire, T. (2018). The ego depletion effect on undergraduate university students: a systematic review. Motiv. Emot. 42, 334–347. doi: 10.1007/s11031-018-9686-2

Crossref Full Text | Google Scholar

Gullone, E., Moore, S., Moss, S., and Boyd, C. (2000). The adolescent risk-taking questionnaire: development and psychometric evaluation. J. Adolesc. Res. 15, 231–250. doi: 10.1177/0743558400152003

Crossref Full Text | Google Scholar

Hagger, M. S., Wood, C. W., Stiff, C., and Chatzisarantis, N. L. D. (2010). Self-regulation and self-control in exercise: the strength-energy model. Int. Rev. Sport Exerc. Psychol. 3, 62–86. doi: 10.1080/17509840903322815

Crossref Full Text | Google Scholar

Hansen, E. B., and Breivik, G. (2001). Sensation seeking as a predictor of positive and negative risk behaviour among adolescents. Personal. Individ. Differ. 30, 627–640. doi: 10.1016/S0191-8869(00)00061-1

Crossref Full Text | Google Scholar

Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York: Guilford.

Google Scholar

He, Z., Muhlert, N., and Elliott, R. (2021). Emotion regulation of social exclusion: a cross-cultural study. Hum. Soc. Sci. Commun. 8, 1–7. doi: 10.1057/s41599-021-00857-z

Crossref Full Text | Google Scholar

Heatherton, T. F., and Baumeister, R. F. (1996). Self-regulation failure: past, present, and future. Psychol. Inq. 7, 90–98. doi: 10.1207/s15327965pli0701_20

Crossref Full Text | Google Scholar

Herbert, C., Meixner, F., Wiebking, C., and Gilg, V. (2020). Regular physical activity, short-term exercise, mental health, and well-being among university students: the results of an online and a laboratory study. Front. Psychol. 11:509. doi: 10.3389/fpsyg.2020.00509

PubMed Abstract | Crossref Full Text | Google Scholar

Hu, W., Chen, Z., Qin, H., Lou, W., Lou, X., and Wu, C. (2023). The impact of cumulative ecological risks on health risk behaviors among college students in Henan Province. Chin. J. School Health 11:9. doi: 10.16835/j.cnki.1000-9817.2023.11.9

Crossref Full Text | Google Scholar

Huang, M., Chen, L., Chen, Z., and Peng, X. P. (2023). Relationship between fashion media exposure and appearance anxiety among female college students: mediation of sexual capitalization and moderating role of physical exercise. Chin. J. Clin. Psych. 31, 437–441. doi: 10.16128/j.cnki.1005-3611.2023.02.036

Crossref Full Text | Google Scholar

Huang, Y., and Xin, S. (2023). Online social exclusion and adolescent externalizing problems: a moderated mediation model. Appl. Psychol., 1–8. doi: 10.20058/j.cnki.CJAP.023015

Crossref Full Text | Google Scholar

Hung, J., and Chen, J. (2023). The benefits, risks and regulation of using ChatGPT in Chinese academia: a content analysis. Soc. Sci. 12:380. doi: 10.3390/socsci12070380

Crossref Full Text | Google Scholar

Jackson, D., and Beaver, K. M. (2018). “The impact of physical exercise on antisocial behavior: a neurocognitive perspective” in The Wiley Blackwell Handbook of Forensic Neuroscience, vol. 1, 659–675.

Google Scholar

Jia, X., Zhu, H., Sun, G., Meng, H., and Zhao, Y. (2021). Socioeconomic status and risk-taking behavior among Chinese adolescents: the mediating role of psychological capital and self-control. Front. Psychol. 12:760968. doi: 10.3389/fpsyg.2021.760968

Crossref Full Text | Google Scholar

Jiang, Q. (2022). College students' exercise experience and aggression during COVID-19: a chain mediating model. Front. Psychol. 13:1020679. doi: 10.3389/fpsyg.2022.1020679

PubMed Abstract | Crossref Full Text | Google Scholar

Jiang, Y., Zhang, L. W., and Mao, Z. X. (2018). Physical exercise and mental health: the effect of emotion regulation self-efficacy and emotion regulation strategy. Stud. Psychol. Behav. 16, 570–576. doi: 10.3969/j.issn.1672-0628.2018.04.020

Crossref Full Text | Google Scholar

Kavakli, M. (2021). Which one is more detrimental for humankind? Ostracism or social exclusion? Their effects on depression, anxiety, stress. J. Cogn. Behav. Psychother. Res. 10, 1–18. doi: 10.5455/JCBPR.63389

Crossref Full Text | Google Scholar

Khoury-Kassabri, M., and Schneider, H. (2018). The relationship between Israeli youth participation in physical activity programs and antisocial behavior. Child Adolesc. Soc. Work J. 35, 357–365. doi: 10.1007/s10560-017-0528-y

Crossref Full Text | Google Scholar

Kirklewski, S. J., Watson, R. J., and Lauckner, C. (2020). The moderating effect of physical activity on the relationship between bullying and mental health among sexual and gender minority youth. J. Sport Health Sci. 12, 106–115. doi: 10.1016/j.jshs.2020.11.013

PubMed Abstract | Crossref Full Text | Google Scholar

Lanaj, K., Johnson, R. E., and Barnes, C. M. (2014). Beginning the workday yet already depleted? Consequences of late-night smartphone use and sleep. Organ. Behav. Hum. Decis. Process. 124, 11–23. doi: 10.1016/j.obhdp.2014.01.001

Crossref Full Text | Google Scholar

Leary, M. R., and Baumeister, R. F. (1995). The need to belong. Psychol. Bull. 117, 497–529. doi: 10.4324/9780367198459-REPRW57-1

Crossref Full Text | Google Scholar

Lee, K., Kim, E., Bhave, D. P., and Duffy, M. K. (2016). Why victims of undermining at work become perpetrators of undermining: an integrative model. J. Appl. Psychol. 101, 915–924. doi: 10.1037/apl0000092

PubMed Abstract | Crossref Full Text | Google Scholar

Liang, D. Q. (1994). Stress levels and their relationship with physical activity among students in higher education. Chinese J. Mental Health. 8, 5–6.

Google Scholar

Liang, Z. Q., Dou, K., Li, J. B., Wang, Y. J., and Nie, Y. G. (2022). Linking self-control to negative risk-taking behavior among Chinese late adolescents: a moderated mediation model. Int. J. Environ. Res. Public Health 19:7646. doi: 10.3390/ijerph19137646

PubMed Abstract | Crossref Full Text | Google Scholar

Liu, J., Jiang, Z., Luo, J., and He, W. (2023). Chain mediating role of negative affect and ego depletion between quarantine time and academic procrastination among university students during the COVID-19 pandemic. Psychol. Sch. 60, 5088–5098. doi: 10.1002/pits.23018

Crossref Full Text | Google Scholar

Liu, L., Wang, N., and Tian, L. (2019). The parent-adolescent relationship and risk-taking behaviors among Chinese adolescents: the moderating role of self-control. Front. Psychol. 10:542. doi: 10.3389/fpsyg.2019.00542

PubMed Abstract | Crossref Full Text | Google Scholar

Ludyga, S., Gerber, M., Brand, S., Puhse, U., and Colledge, F. (2018). Effects of aerobic exercise on cognitive performance among young adults in a higher education setting. Res. Q. Exerc. Sport 89, 164–172. doi: 10.1080/02701367.2018.1438575

Crossref Full Text | Google Scholar

Mead, N. L., Alquist, J. L., and Baumeister, R. F. (2010). “Ego depletion and the limited resource model of self-control” in Self Control in Society, Mind, and Brain, 375–388.

Google Scholar

Meng, P. (2020). The psychological mechanism of the influence of social exclusion on risk-taking behavior. Open J. Soc. Sci. 8, 146–164. doi: 10.4236/jss.2020.83014

Crossref Full Text | Google Scholar

Moore, S., Gullone, E., and McArthur, C. (2004). Risk taking and HIV/AIDS among young people in Cameroon: prediction of vulnerability using the adolescent risk-taking questionnaire. Soc. Behav. Personal. 32, 207–219. doi: 10.2224/sbp.2004.32.3.207

Crossref Full Text | Google Scholar

Muraven, M. (2012). “Ego depletion: theory and evidence” in The Oxford Handbook of Human Motivation, vol. 111, 126.

Google Scholar

Muraven, M., and Baumeister, R. F. (2000). Self-regulation and depletion of limited resources: does self-control resemble a muscle? Psychol. Bull. 126, 247–259. doi: 10.1037//0033-2909.126.2.247

PubMed Abstract | Crossref Full Text | Google Scholar

Muraven, M., Baumeister, R. F., and Tice, D. M. (1999). Longitudinal improvement of self-regulation through practice: building self-control strength through repeated exercise. J. Soc. Psychol. 139, 446–457. doi: 10.1080/00224549909598404

PubMed Abstract | Crossref Full Text | Google Scholar

Newman, T. J., Alvarez, M. A. G., and Kim, M. (2017). An experiential approach to sport for youth development. J. Exp. Educ. 40, 308–322. doi: 10.1177/1053825917696833

Crossref Full Text | Google Scholar

Niu, G. F., Shi, X. H., Yao, L. S., Yang, W. C., Jin, S. Y., and Xu, L. (2023). Social exclusion and depression among undergraduate students: the mediating roles of rejection sensitivity and social self-efficacy. Curr. Psychol. 42, 24198–24207. doi: 10.1007/s12144-022-03318-1

PubMed Abstract | Crossref Full Text | Google Scholar

Niu, G. F., Sun, X. J., Tian, Y., Fan, C. Y., and Zhou, Z. K. (2016). Resilience moderates the relationship between ostracism and depression among Chinese adolescents. Pers. Individ. Diff. 99, 77–80. doi: 10.1016/j.paid.2016.04.059

Crossref Full Text | Google Scholar

Oduaran, C., and Agberotimi, S. F. (2021). Moderating effect of personality traits on the relationship between risk-taking behaviour and self-injury among first-year university students. Adv. Ment. Health 19, 247–259. doi: 10.1080/18387357.2021.1913065

Crossref Full Text | Google Scholar

Park, S., Chiu, W., and Won, D. (2021). Effects of physical education, extracurricular sports activities, and leisure satisfaction on adolescent aggressive behavior: a latent growth modeling approach. PLoS One 16:e0251221. doi: 10.1371/journal.pone.0251221

PubMed Abstract | Crossref Full Text | Google Scholar

Peng, C. L. (2022). Analysis of the relationship between physical exercise and health risk behaviors among secondary school students--a case study in Hengyang City. Phys. Educ. Teach. Friend 45, 72–75. doi: 10.3969/j.issn.1006-1487.2022.04.020

Crossref Full Text | Google Scholar

Qiu, Q., Dai, S., and Yan, J. (2022). Health behaviors of late adolescents in China: scale development and preliminary validation. Front. Psychol. 13:1004364. doi: 10.3389/fpsyg.2022.1004364

PubMed Abstract | Crossref Full Text | Google Scholar

Reiter-Scheidl, K., Papousek, I., Lackner, H. K., Paechter, M., Weiss, E. M., and Aydin, N. (2018). Aggressive behavior after social exclusion is linked with the spontaneous initiation of more action-oriented coping immediately following the exclusion episode. Physiol. Behav. 195, 142–150. doi: 10.1016/j.physbeh.2018.08.001

PubMed Abstract | Crossref Full Text | Google Scholar

Saldivar, S. (2018). Social exclusion: Ego depletion and self-awareness. Doctoral dissertation, Texas A&M University-Corpus Christi.

Google Scholar

Sawyer, S. M., Azzopardi, P. S., Wickremarathne, D., and Patton, G. C. (2018). The age of adolescence. Lancet Child Adolesc. Health 2, 223–228. doi: 10.1016/s2352-4642(18)30022-1

Crossref Full Text | Google Scholar

Schoendube, A., Bertrams, A., Sudeck, G., and Fuchs, R. (2017). Self-control strength and physical exercise: an ecological momentary assessment study. Psychol. Sport Exerc. 29, 19–26. doi: 10.1016/j.psychsport.2016.11.006

Crossref Full Text | Google Scholar

Sigfusdottir, I. D., Asgeirsdottir, B. B., Sigurdsson, J. F., and Gudjonsson, G. H. (2011). Physical activity bufers the efects of family confict on depressed mood: a study on adolescent girls and boys. J. Adolesc. 34, 895–902. doi: 10.1016/j.adolescence.2011.01.003

PubMed Abstract | Crossref Full Text | Google Scholar

Smetana, J. G., Campione-Barr, N., and Metzger, A. (2006). Adolescent development in interpersonal and societal contexts. Annu. Rev. Psychol. 57, 255–284. doi: 10.1146/annurev.psych.57.102904.190124

PubMed Abstract | Crossref Full Text | Google Scholar

Smith, P. J., and Merwin, R. M. (2021). The role of exercise in Management of Mental Health Disorders: an integrative review. Annu. Rev. Med. 72, 45–62. doi: 10.1146/annurev-med-060619-022943

PubMed Abstract | Crossref Full Text | Google Scholar

Stiles, B. L., Pan, M., LaBeff, E. E., and Wong, N. (2017). The role of academic entitlement in college cheating: a comparison between China and the United States. Res. High. Educ. J. 33:15. Available at: https://www.aabri.com/manuscripts/172744.pdf.

Google Scholar

Sun, X., Zhang, Y., Niu, G., Tian, Y., Xu, L., and Duan, C. (2021). Ostracism and problematic smartphone use: the mediating effect of social self-efficacy and moderating effect of rejection sensitivity. Int. J. Ment. Heal. Addict. 21, 1334–1347. doi: 10.1007/s11469-021-00661-5

Crossref Full Text | Google Scholar

Svetieva, E., Zadro, L., Denson, T. F., Dale, E., O’Moore, K., and Zheng, W. Y. (2015). Anger mediates the effect of ostracism on risk-taking. J. Risk Res. 19, 614–631. doi: 10.1080/13669877.2014.1003320

Crossref Full Text | Google Scholar

Taghvaee, L., and Mazandarani, A. A. (2022). Poor sleep is associated with sensation-seeking and risk behavior in college students. Sleep Sci 15, 249–256. doi: 10.5935/1984-0063.20220024

PubMed Abstract | Crossref Full Text | Google Scholar

Tangney, J. P., Baumeister, R. F., and Boone, A. L. (2004). High self-control predicts good adjustment, less pathology, better grades, and interpersonal success. J. Pers. 72, 271–324. doi: 10.1111/j.0022-3506.2004.00263.x

PubMed Abstract | Crossref Full Text | Google Scholar

Tao, B., Lu, T., Chen, H., and Yan, J. (2023). The relationship between psychological stress and emotional state in Chinese university students during COVID-19: the moderating role of physical exercise. Healthcare 11:695. doi: 10.3390/healthcare11050695

PubMed Abstract | Crossref Full Text | Google Scholar

Tao, S., Wu, X., Yang, Y., and Tao, F. (2020). The moderating effect of physical activity in the relation between problematic mobile phone use and depression among university students. J. Affect. Disord. 273, 167–172. doi: 10.1016/j.jad.2020.04.012

Crossref Full Text | Google Scholar

Taylor, J., and Stupica, B. (2015). Attachment, history of corporal punishment, and impulsivity as predictors of risk-taking behaviors in college students. Fam. Sci. 6, 402–412. doi: 10.1080/19424620.2015.1116452

Crossref Full Text | Google Scholar

Tyler, K. A., and Brownridge, D. A. (2022). Family violence, personality traits, and risk behaviors: links to dating violence victimization and perpetration among college students. Violence Vict. 37, 683–701. doi: 10.1891/VV-2021-0106

Crossref Full Text | Google Scholar

Unger, A., and Stahlberg, D. (2011). Ego-depletion and risk behavior: too exhausted to take a risk. Soc. Psychol. 42, 28–38. doi: 10.1027/1864-9335/a000040

Crossref Full Text | Google Scholar

Wagemaker, E., Huizenga, H. M., Dekkers, T. J., Collot d’Escury-Koenigs, A. L., Salemink, E., and Bexkens, A. (2020). When do those “risk-taking adolescents” take risks? The combined effects of risk encouragement by peers, mild-to-borderline intellectual disability and sex. J. Abnorm. Child Psychol. 48, 573–587. doi: 10.1007/s10802-020-00617-8

PubMed Abstract | Crossref Full Text | Google Scholar

Wang, L. Z., Gao, Y., Yang, S. X., Sun, Z. C., Tang, S. H., and Zhou, H. Z. (2022). The relationship between physical exercise and psychological resilience in college students: the mediating role of self-control. Bull. Sports Sci. Technol. Literat. 30, 177–180. doi: 10.19379/j.cnki.issn.1005-0256.2022.07.049

Crossref Full Text | Google Scholar

Wang, S., and Gathercole, S. E. (2013). Working memory deficits in children with reading difficulties: memory span and dual task coordination. J. Exp. Child Psychol. 115, 188–197. doi: 10.1016/j.jecp.2012.11.015

PubMed Abstract | Crossref Full Text | Google Scholar

Wang, Y., and Xu, Z. (2021). Statistical analysis for contract cheating in Chinese universities. Mathematics 9:1684. doi: 10.3390/math9141684

Crossref Full Text | Google Scholar

Wang, K., and Zhang, N. (2020). The effects of campus exclusion on middle school students' internalizing and externalizing problems: the mediating roles of peer relationships and core self-evaluation. Psychol. Dev. Educ. 36, 594–604. doi: 10.16187/j.cnki.issn1001-4918.2020.05.11

Crossref Full Text | Google Scholar

Wang, D., Zhou, C., Zhao, M., Wu, X., and Chang, Y.-K. (2016). Dose-response relationships between exercise intensity, cravings, and inhibitory control in methamphetamine dependence: an ERPs study. Drug Alcohol Depend. 161, 331–339. doi: 10.1016/j.drugalcdep.2016.02.023

PubMed Abstract | Crossref Full Text | Google Scholar

Watson, A., Timperio, A., Brown, H., Best, K., and Hesketh, K. D. (2017). Effect of classroom-based physical activity interventions on academic and physical activity outcomes: a systematic review and meta-analysis. Int. J. Behav. Nutr. Phys. Act. 14:114, 114–138. doi: 10.1186/s12966-017-0569-9

PubMed Abstract | Crossref Full Text | Google Scholar

Williams, K. D. (2007). Ostracism. Annu. Rev. Psychol. 58, 425–452. doi: 10.1146/annurev.psych.58.110405.085641

Crossref Full Text | Google Scholar

Williams, K. D. (2009). Ostracism: a temporal need-threat model. Adv. Exp. Soc. Psychol. 41, 279–314. doi: 10.1016/S0065-2601(08)00406-1

Crossref Full Text | Google Scholar

Xu, M., Li, Z., Zhang, J., Sun, L., Fan, L., Zeng, Q., et al. (2015). Social exclusion influences attentional bias to social information. Asian J. Soc. Psychol. 18, 199–208. doi: 10.1111/ajsp.12101

Crossref Full Text | Google Scholar

Xu, L., Lu, Z. Z. X., Li, H. J., Chen, J. W., Niu, G. F., and Peng, S. (2023). The effect of social exclusion on college students' conspicuous consumption: a mediated model with moderation. Chinese J. Health Psychol. 31, 1083–1090. doi: 10.13342/j.cnki.cjhp.2023.07.024

Crossref Full Text | Google Scholar

Zhang, Q., Wang, X. A., Miao, L., He, L., and Wang, H. (2022). The effect of Chronotype on risk-taking behavior: the chain mediation role of self-control and emotional stability. Int. J. Environ. Res. Public Health 19:16068. doi: 10.3390/ijerph192316068

PubMed Abstract | Crossref Full Text | Google Scholar

Zhang, C., Zhang, L. J., and Shang, L. (2011). Reliability and validity of the adolescent risk-taking questionnaire-risk-taking behavior scale among secondary school students. Chinese J. Mental Health 25, 636–640. doi: 10.3969/j.issn.1000-6729.2011.08.018

Crossref Full Text | Google Scholar

Zou, H., Huang, J., Zhang, W., Wu, J., Wu, W., and Huo, L. (2023). The effect of cyberbullying victimization and traditional bullying victimization on suicidal ideation among Chinese female college students: the role of rumination and insomnia. J. Affect. Disord. 340, 862–870. doi: 10.1016/j.jad.2023.08.099

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: college students, ostracism, ego depletion, physical exercise, negative risk-taking behavior

Citation: Chen F, Wang J, Gao H, Zeng Y, Li Z and Zou H (2024) The relationship between ostracism and negative risk-taking behavior: the role of ego depletion and physical exercise. Front. Psychol. 15:1332351. doi: 10.3389/fpsyg.2024.1332351

Received: 08 November 2023; Accepted: 10 January 2024;
Published: 24 January 2024.

Edited by:

Atsushi Oshio, Waseda University, Japan

Reviewed by:

Wei Na, Beijing University of Civil Engineering and Architecture, China
Renata Maria Silva Santos, Federal University of Minas Gerais, Brazil

Copyright © 2024 Chen, Wang, Gao, Zeng, Li and Zou. 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: Hongyu Zou, em91aG9uZ3l1MjAxNkAxNjMuY29t

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.