Article Highlights
Our findings suggest that basketball intervention could promote emotional stability in high school students.
Basketball intervention was found to improve self-control among high school students.
Basketball intervention was found to indirectly promote emotional stability by improving self-control in high school students.
The incidence of mental health problems and the prevalence of mental disorders among children and adolescents have increased annually with the rapid economic and social development of China. These issues have become critical public health concerns that affect the country’s future (Han & Wang, 2022).
Emotional stability is a core criterion for assessing individual mental health. A previous study by Chen (2023) highlighted the close relationship between emotional stability and mental health. Emotional stability refers to personality traits related to emotional responses, such as neuroticism from the Big Five personality traits, that align with situational contexts and are consistent across different occasions and times (Dong et al., 2017). Emotionally stable individuals are not easily provoked by trivial matters that may elicit substantial emotional responses; even when emotional fluctuations occur, they can control their emotions within a reasonable range of time (Zhang et al., 2022). Conversely, emotionally unstable individuals are more likely to experience negative emotions, including anxiety, annoyance, depression, and anger (Perkins et al., 2015), and will often exhibit negative traits such as a negative problem-solving style, low self-efficacy, negative coping strategies, and low subjective well-being (Mader et al., 2023; Muntean et al., 2022; Ruiz, 2005). High school students refer to students who are receiving education at the high school level, and their ages are generally between 15 and 18 years old. These adolescent students often experience intense, immediate, and unstable emotions (Liu et al., 2017). Extreme emotional reactions not only affect students’ academic performance and daily lives, but can also seriously affect their mental health (Han & Wang, 2022). Therefore, using practical measures to improve the emotional stability of high school students is an important issue faced by psychology and education.
Exercise intervention is to improve health levels or master sports skills, and to conduct purposeful, planned, and controllable systematic exercise training for specific groups of people. Physical activity is widely acknowledged as an effective means of improving mental health (Arabzadeh et al., 2023; Mahindru et al., 2023; Santos et al., 2023). The most significant mental health benefit of sports is that it can help individuals to effectively control and regulate their emotions (Rezaie et al., 2023). Recently, studies have confirmed that physical activity can enhance emotional stability and improve emotional regulation capacity, with supporting evidence derived from three main sources. First, emotional regulation theory posits that physical activity, by virtue of its situational characteristics (e.g., structured social interaction) and stress-relieving effects, provides a context for individuals to practice emotional regulation, thereby enhancing their ability to manage emotions and promoting stability (Peng et al., 2024). Second, correlational studies using questionnaire surveys have consistently demonstrated a positive association between participation in physical activity and emotional stability (e.g., Wenzel et al., 2021). Third, an empirical study on the relationship between sports and emotional stability primarily used specific forms of exercise (i.e., football and Zumba) as intervention methods (Barene & Krustrup, 2022). Further, research has shown that collective projects exert greater improvement effects on emotional stability than individual projects (Andersen et al., 2019). Basketball, as an example of a collective project, is widely appreciated by students for its collective, confrontational, and performative aspects (DiFiori et al., 2018). Given these reasons, this study selected basketball as a sports intervention program to explore its effect on emotional stability among high school students.
Furthermore, self-control refers to an individual’s ability to consciously control their behavior to achieve a goal or overcome impulses, temptations, or inherent habits (Daly et al., 2014). A correlation exists between self-control and emotional stability, as it has been found that students with high self-control tend to have stronger emotional regulation abilities (Zhang et al., 2022). Higher emotional regulation abilities allow students to keep their emotions within a controllable range when facing different situations, preventing emotional outbursts (Yin et al., 2024). Concurrently, scholars have conducted a series of studies on the relationship between exercise intervention and self-control, confirming through behavioral, electroencephalogram, and other indicators that sports are an effective means to improving individuals’ self-control (Cao et al., 2025; Xiang et al., 2019). Consequently, the promotion of emotional stability in individuals through sports may be achieved through the mediating variable of self-control.
This study used high school students to determine whether basketball practice can improve emotional stability and self-control. We proposed the following hypotheses:
Hypothesis 1: Basketball intervention will directly improve emotional stability in high school students.
Hypothesis 2: Basketball intervention will indirectly improve emotional stability in high school students by first improving self-control.
Method
Participants and Procedure
Sample size was determined a priori using G*Power software (Version 3.1), with an effect size of 0.25, an alpha level of .05, two groups, and two measurements. The analysis indicated a required total sample size of 66. Accounting for an estimated 20% attrition rate, the target sample size was increased to 80 participants, with at least 40 per group. Using convenience sampling, we randomly assigned students from two high school classes in Changzhou, Jiangsu Province, to either a control group or an experimental group. Prior to the experiment, participants were screened via a questionnaire, with those reporting genetic syndromes, heart conditions, or physical disabilities being excluded. The final sample comprised 89 participants. The control group comprised 24 boys and 22 girls (M = 14.79 years, SD = 0.85), and the experimental group comprised 23 boys and 20 girls (M = 14.89 years, SD = 0.77).
The experimental group underwent basketball exercise interventions as planned, and five students were randomly selected to wear Polar heart rate sensors before each session to monitor their heart rates. The exercise intensity was set to moderate, referring to the moderate-intensity aerobic heart rate calculation formula recommended by the American College of Sports Medicine (Garber et al., 2011). The target heart rate range was calculated as follows: (220 – age) × (60–69%), which is a commonly used criterion for moderate-intensity exercise, balancing exercise effectiveness and safety. Each session lasted 30 minutes, excluding warm-up and cool-down times, and was conducted three times per week over 8 weeks. The control group attended regular physical education classes, held three times weekly for 45 minutes each. These sessions included basic fitness training (e.g., jogging, calisthenics, and stretching), instruction in general sports skills (e.g., badminton, table tennis, and rope jumping—all nonteam-based activities), and free activity time. Throughout the study, all participants were instructed not to engage in any additional physical activity outside of their assigned classes to avoid confounding the results. This study was approved by the ethics committee of Yangzhou University Medical College. All participants provided informed consent.
Measures
Self-Control
We used the Self-Control Scale for Middle School Students compiled by H. Wang and Lu (2004). This scale includes three dimensions: emotional self-control (e.g., “I can remain calm when criticized by teachers”), cognitive self-control (e.g., “I can concentrate on studying without distracting thoughts”), and behavioral self-control (“I can persist in completing my study plan”), with a total of 36 items. The scale uses a 5-point Likert scale ranging from 1 = strongly disagree to 5 = strongly agree, with higher scores indicating stronger self-control. The Cronbach’s alpha coefficient for the scale was .92 in the original study and .88 in this study.
Emotional Stability
We measured emotional stability using the Eysenck Personality Questionnaire (Neuroticism Scale) revised by M. Y. Qian et al. (2000). This scale consists of 12 items, scored as “yes” (1 point) or “no” (0 points). An example item is “Do you often feel anxious for no reason?” As age significantly affects the scale scores, raw scores were converted to T-scores (T = 50 + 10X, where X = [raw score – M] / SD). Higher T-scores indicate higher levels of neuroticism, reflecting lower emotional stability. Therefore, this variable is also labeled as “neuroticism (reverse indicator of emotional stability)” in this study. In this study, the Cronbach’s alpha coefficient for the scale was .80.
Data Analysis
In this study, we used SPSS 26.0 to analyze and process the data. An independent-samples t test was used to test data homogeneity across the experimental and control groups before the experiment. Repeated-measures analysis of variance (ANOVA) was used to evaluate the effects of group and time factors on self-control and emotional stability, and we used Model 4 of the PROCESS program to assess mediating effects (Wu et al., 2026). Variable coding was set as follows: experimental group = 1; and control group = 0. Statistical significance was set at p < .05.
Results
Common Method Deviation Test
The Harman single-factor test for common method bias, conducted prior to formal data analyses, indicated that 14 factors had eigenvalues greater than 1, and the amount of variance explained by the first factor was 21.07%, which is below the critical criterion of 40%. These results indicated no serious common method bias in this study.
Comparison of Baseline Values of Self-Control and Emotional Stability Between Student Groups
We conducted independent-samples t tests on the baseline self-control and emotional stability scores for high school students in the experimental and control groups. The results indicated nonsignificant differences in the baseline values between the two groups, suggesting that the two groups of participants were homogeneous before the experiment (see Table 1), thus meeting the requirements for experimental grouping.
Table 1. Comparing the Baseline Values of Self-Control and Emotional Stability Between the Experimental and Control Groups of High School Students
Effects of Basketball Intervention on Emotional Stability in High School Students
Emotional stability served as the dependent variable, while group (experimental versus control) and time (pretest versus posttest) were treated as independent variables. A mixed-design ANOVA revealed no significant main effect of group, however it showed a significant main effect of time and a significant time × group interaction (see Table 2). Simple effects analysis further indicated the following (see Figure 1 and Table 3): (a) prior to the intervention, emotional stability scores did not differ significantly between groups; (b) after the intervention, the experimental group scored significantly lower than the control group (DiFiori et al., 2018); and (c) the experimental group displayed a significant improvement in emotional stability following the intervention, while the control group exhibited no significant change. These results demonstrated that the basketball intervention significantly enhanced emotional stability among high school students.
Table 2. Repeated-Measures Analysis of Variance for the Impact of Basketball Intervention on Emotional Stability in High School Students
Table 3. Preintervention and Postintervention Emotional Stability in High School Students for the Experimental Group and Control Group
Figure 1. The Changing Trend of Emotional Stability Scores of High School Students Before and After the Intervention
Effects of Basketball Intervention on Self-Control in High School Students
Self-control served as the dependent variable, with group (experimental versus control) and time (pretest versus posttest) as independent variables. A mixed-design ANOVA revealed no main effect of group, but did show a significant main effect of time and a significant time × group interaction (see Table 4). Simple effects analysis revealed the following (see Figure 2 and Table 5): (a) at pretest, self-control scores did not differ significantly between groups; (b) at posttest, the experimental group scored significantly higher than the control group; and (c) within the experimental group, posttest scores improved significantly relative to pretest, while no significant change occurred in the control group. These results indicated that the basketball intervention significantly enhanced self-control among high school students.
To examine intervention effects across specific self-control dimensions, we conducted mixed-design ANOVAs with each dimension as the dependent variable. For emotional self-control, the results revealed no main effect of group, but showed a significant main effect of time and a significant time × group interaction (see Table 4). Simple effects analysis (see Table 5) indicated no between-group difference at pretest, but showed a significant difference at posttest, with the experimental group exhibiting significant improvement over time while the control group did not. Thus, emotional self-control was significantly enhanced following the basketball intervention.
For cognitive self-control, no significant main effects of group or time were observed, although a significant group × time interaction emerged (see Table 4). Subsequent analysis revealed no significant between- or within-group differences at either timepoint (see Table 5), suggesting that the intervention did not exert a significant effect on this dimension.
For behavioral self-control, there was no main effect of group, although a significant main effect of time and a significant time × group interaction were noted (see Table 4). Simple effects analysis confirmed no between-group difference at pretest, a significant difference at posttest, and a significant pretest to posttest improvement within the experimental group only (see Table 5). This indicated that behavioral self-control increased significantly after the intervention.
Collectively, the basketball intervention effectively improved overall emotional stability and self-control in high school students, including their emotional, cognitive, and behavioral self-control.
Table 4. Repeated Measures Analysis of Variance for the Impact of Basketball Intervention on Self-Control in High School Students
Figure 2. The Changing Trend of Self-Control Scores of High School Students Before and After the Intervention
Table 5. Preintervention and Postintervention Self-Control in High School Students for the Experimental Group and Control Group
Construction of a Mediation Model for the Influence of Basketball Intervention on the Emotional Stability of High School Students
We analyzed posttest data to verify the hypothetical mediation model of this study. As shown in Table 6, the results indicated that both the basketball intervention and self-control negatively predicted T-scores (that is, levels of neuroticism) of the Eysenck Personality Questionnaire (Neuroticism Scale). Since lower T-scores on this scale indicate higher emotional stability, basketball intervention and self-control essentially predicted greater emotional stability among high school students.
Table 6. Mediation Analysis and Bootstrapping Mediation Analysis
Note. CI = confidence interval; LL = lower limit; UL = upper limit.
* p < .05. ** p < .01.
Testing the Mediated Effect of Basketball Intervention on the Emotional Stability of High School Students
The results of the mediation test using the bootstrapping method (with 5,000 resamples) indicated that the basketball intervention significantly affected the emotional stability of high school students, with an effect value of –.41 (representing 59.42% of the total effect). Self-control had a significant mediating effect on the relationship between the basketball intervention and emotional stability, with a mediating effect size of –.28 (representing 40.58% of the total effect). Since none of their 95% confidence intervals contained zero, the direct, mediated, and total effects of the model were significant (see Figure 3). Given the above, this study supported Hypotheses 1 and 2.
Figure 3. Diagram of the Mediation Model
Note. * p < 05.
Discussion
Effects of Basketball Intervention on the Emotional Stability of High School Students
This study found that, after 8 weeks of moderate-intensity 30-minute basketball exercises, the intervention significantly improved the emotional stability of high school students. This result confirms Hypothesis 1, a finding corroborated by other related studies (Wei et al., 2024). Previous studies have confirmed that individual and group sports can improve individual emotional stability (Q. Wang et al., 2021); however, group sports such as basketball and football have a more pronounced effect on emotional stability than individual sports like running and aerobics. Several scholars have explored the relationship between motor intervention and emotional stability using brain function mechanisms, discovering that, after a period of exercise intervention, the emotional stability, cognition, and brain activity of participants improved (Han & Wang, 2022).
Overall, the benefits of exercise on emotional stability have been confirmed. When encountering psychological problems, such as difficulties and setbacks during exercise, individuals may find it beneficial to engage in mutual confiding to alleviate and release suppressed emotions. Accordingly, improving emotional stability in group exercise programs is generally more effective than in individual programs. Basketball requires greater teamwork, communication, emotional control, and rule following. It does not allow teammates to complain to each other, express dissatisfaction with penalties, or experience other negative emotions. This theoretically verifies the hypothesis.
Effects of Basketball Intervention on Self-Control Among High School Students
After 8 weeks of the basketball intervention, the overall, emotional, and behavioral self-control levels of high school students significantly improved. This conclusion has been confirmed by various studies that have found basketball interventions to promote self-control in college students, mobile phone addicts, and young children (Policastro et al., 2018, Xiao et al., 2021). However, relatively few studies have examined basketball interventions aimed at improving self-control among high school students. As basketball is a fast-paced sport, the individual’s response demands greater effort. In basketball, team members should always pay attention to the ball, their teammates, opponents, and their movements and positions. Additionally, they should always abide by basketball rules throughout the process of exercising individual self-control and maintaining a high performance level. Energy model theory of self-control also supports this view. It holds that when an individual performs a self-control task, it must consume a limited resource, such as muscle strength, which becomes briefly depleted during use (Baumeister et al., 2024). With proper rest, this resource can be restored to its original level or even exceed it temporarily. This view is more prominent during exercise, when self-control resources are continually consumed. Individuals may feel fatigued, experience discomfort, have difficulty breathing, and even desire to give up. This phenomenon is physiologically referred to as the pole. When self-control resources are exhausted, persevering through the pole will cause a pleasant feeling of movement. The self-control threshold slowly increases as one persists through the pole, improving self-control (Muraven & Baumeister, 2000).
Unlike in previous studies, after 8 weeks of exercise intervention, the cognitive self-control of the experimental group in our study exhibited a marginal increase, however it did not reach statistical significance, p = .29, indicating no significant difference compared to the pretest or control group, whose cognitive self-control decreased. This may be because, first, cognitive self-control reflects the ability of an individual to regulate thoughts, and high school students, being in the early stages of youth, tend to be immature, wander easily, and be easily distracted. Second, the classroom atmosphere of the experimental group was harmonious and active, the classroom content was novel, and student participation was high. In contrast, the classroom teaching content of the control group was relatively dull and insufficiently attractive. Therefore, their cognitive self-control declined.
Implications
Based on the above results suggesting that basketball interventions promote emotional stability, self-control, and logical analysis among high school students, a self-control mediation model for basketball interventions is proposed to enhance emotional stability in this population. Path analysis revealed that self-control partially mediated the relationship between basketball interventions and emotional stability. Specifically, basketball interventions can directly promote the emotional stability of high school students and indirectly achieve this through the mediating variable of self-control. Relevant theoretical and empirical studies have confirmed the previous set of results, which can be explained by short-term emotional effects, long-term emotional effects, and stress effects (Barene & Krustrup, 2022; Wenzel et al., 2021). Short-term emotional effects indicate that a non-competitive, pleasant physical activity can reduce the levels of anxiety, depression, and other negative emotions in the short term, thereby forming an excellent emotional response. Long-term emotional effects suggest that long-term regular physical activity is rarely associated with adverse emotional reactions, such as anxiety and depression, over an extended period and can help improve mood.
Additionally, empirical studies on basketball interventions aimed at promoting individual emotional stability have provided evidence for the present study. The emotional stability of individuals participating in collective sports such as basketball and football has been found to be significantly improved, with a more pronounced effect than in individual sports (Hoffmann et al., 2022). This latter effect is achieved through the mediating variable of self-control. First, participation in basketball effectively fosters the development of self-control. As a dynamic and strategically complex team sport, basketball requires players to continuously monitor teammates and opponents, adapt tactics in real time, and make rapid decisions (Guo & Wang, 2025). Such an environment demands the consistent inhibition of automatic responses, shifts in attentional focus, and engagement in planned actions, essentially providing repeated practice in cognitive control functions. Regular involvement in such structured physical activities is known to strengthen executive functions associated with prefrontal cortex development, thereby solidifying the self-regulatory capacity of individuals (Friedman & Robbins, 2022). Second, enhanced self-control directly contributes to improved emotional stability. A core component of self-control is emotional self-regulation, which involves modulating emotional arousal, inhibiting impulsive emotional reactions, and employing adaptive strategies to manage affect (Wenzel et al., 2021). Higher emotional self-control enables individuals to more effectively mobilize cognitive resources to reappraise stressful situations, buffer negative emotional experiences, and thus maintain greater emotional stability in the face of challenges. Accordingly, the self-control strengthened through basketball intervention, particularly its emotion-regulatory dimension, provides adolescents with enhanced internal psychological resources to support emotional stability.
Collectively, beyond the direct emotional benefits of physical activity, basketball interventions systematically cultivate participants’ self-control by engaging them in contexts that demand continuous cognitive and emotional regulation during fast-paced social interactions. This, in turn, equips them with sustainable psychological skills for affect regulation, thereby indirectly and meaningfully promoting emotional stability.
Limitations and Future Research Directions
This study has several limitations. First, it only measured two time points (i.e., pretest and posttest), which may not accurately reveal the dynamic effects of the basketball intervention on each dependent variable. The number of measurements should be increased in future studies to further explore the dynamic impact of basketball interventions on the emotional stability and self-control of high school students. Second, the scales used to measure self-control and emotional stability in this study might have introduced specific measurement errors, which could have been minimized using measurement methods from experimental psychology. Third, based on the literature collation and analysis, variables other than self-control might have affected emotional stability; these related variables should be further explored in future cross-sectional surveys. Finally, participants in the experimental group might have realized that they were special participants, potentially influencing the experimental process.
Conclusion
This study found that an 8-week moderate-intensity basketball intervention promoted emotional stability in high school students. This intervention was also found to improve self-control among high school students. We suggest that such an intervention can indirectly promote emotional stability by improving self-control in high school students.
Andersen, M. H., Ottesen, L., & Thing, L. F. (2019). The social and psychological health outcomes of team sport participation in adults: An integrative review of research.
Scandinavian Journal of Public Health,
47(8), 832–850.
https://doi.org/10.1177/1403494818791405
Arabzadeh, E., Ebrahimi, S., Gholami, M., Moiniafshari, K., Sohrabi, A., Armannia, F., & Shahba, M. (2023). The relationship between physical activity pre COVID-19 pandemic with mental health, depression, and anxiety in COVID-19 patients: A cross-sectional study.
Sport Sciences for Health,
19(4), 1239–1244.
https://doi.org/10.1007/s11332-023-01056-w
Barene, S., & Krustrup, P. (2022). Football and Zumba training in female hospital staff: Effects after 12 and 40 weeks on self-reported health status, emotional wellbeing, general self-efficacy and sleep problems.
International Journal of Environmental Research and Public Health,
19(3), Article 1685.
https://doi.org/10.3390/ijerph19031685
Baumeister, R. F., André, N., Southwick, D. A., & Tice, D. M. (2024). Self-control and limited willpower: Current status of ego depletion theory and research.
Current Opinion in Psychology, 60, Article 101882.
https://doi.org/10.1016/j.Copsyc.2024.101882
Cao, L. G., Yu, Q. H., Feng, X., Wang, L., & Lang, J. (2025). The influence of physical exercise on achievement motivation among college students: The mediating roles of self-efficacy and life satisfaction.
Frontiers in Psychology,
16, Article 1529829.
https://doi.org/10.3389/fpsyg.2025.1529829
Chen, Y. N. (2023). The relationship between personality traits, emotional stability and mental health in art vocational and technical college students during epidemic prevention and control.
Psychology Research and Behavior Management,
16, 2857–2867.
https://doi.org/10.2147/prbm.S417243
Daly, M., Baumeister, R. F., Delaney, L., & MacLachlan, M. (2014). Self-control and its relation to emotions and psychobiology: Evidence from a Day Reconstruction Method study.
Journal of Behavioral Medicine,
37(1), 81–93.
https://doi.org/10.1007/s10865-012-9470-9
DiFiori, J. P., Güllich, A., Brenner, J. S., Côté, J., Hainline, B., Ryan, E., III, & Malina, R. M. (2018). The NBA and youth basketball: Recommendations for promoting a healthy and positive experience.
Sports Medicine, 48(9), 2053–2065.
https://doi.org/10.1007/s40279-018-0950-0
Dong, Y., Li, W., Guo, Y., Zhan, W., & Yuan, B. (2017). The relationship between emotional stability and creative thinking in college students [In Chinese]. Chinese Journal of Health Psychology, 25(1), 149–154.
Garber, C. E., Blissmer, B., Deschenes, M. R., Franklin, B. A., Lamonte, M. J., Lee, I.-M., Nieman, D. C., & Swain, D. P. (2011). Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults: Guidance for prescribing exercise.
Medicine & Science in Sports & Exercise,
43(7), 1334–1359.
https://doi.org/10.1249/MSS.0b013e318213fefb
Guo, Z., & Wang, Q. (2025). Comparative study on dynamic visual tracking abilities in three-dimensional multi-object tracking tasks among basketball players of different skill levels.
Frontiers in Psychology,
16, Article 1710450.
https://doi.org/10.3389/fpsyg.2025.1710450
Han, F. L., & Wang, Q. L. (2022). Positive and negative mood states mediated the effects of psychological resilience on emotional stability among high school students during the COVID-19 pandemic.
Frontiers in Psychology,
13, Article 967669.
https://doi.org/10.3389/fpsyg.2022.967669
Hoffmann, M. D., Barnes, J. D., Tremblay, M. S., & Guerrero, M. D. (2022). Associations between organized sport participation and mental health difficulties: Data from over 11,000 US children and adolescents.
PLOS One,
17(6), Article e0268583.
https://doi.org/10.1371/journal.pone.0268583
Liu, L., Sun, C., Su, C., Xiang, Y. S., & Guo, S. (2017). The relationship between academic burden and academic self-efficacy in middle school students from the perspective of cognitive load [In Chinese]. Modern Preventive Medicine, 44(21), 3910–3913.
Mader, N., Arslan, R. C., Schmukle, S. C., & Rohrer, J. M. (2023). Emotional (in)stability: Neuroticism is associated with increased variability in negative emotion after all.
Proceedings of the National Academy of Sciences of the United States of America,
120(23), Article e2212154120.
https://doi.org/10.1073/pnas.2212154120
Mahindru, A., Patil, P., & Agrawal, V. (2023). Role of physical activity on mental health and well-being: A review.
Cureus,
15(1), Article e33475.
https://doi.org/10.7759/cureus.33475
Muntean, L. M., Nireştean, A., Popa, C. O., Strete, E. G., Ghiga, D. V., Sima-Comaniciu, A., & Lukacs, E. (2022). The relationship between emotional stability, psychological well-being and life satisfaction of Romanian medical doctors during COVID-19 period: A cross-sectional study.
International Journal of Environmental Research and Public Health,
19(5), Article 2937.
https://doi.org/10.3390/ijerph19052937
Peng, B., Chen, W., Wang, H., Yu, T., & Kong, M. (2024). A study on the relationship between physical exercise and feelings of inferiority among college students: The chain mediating effect of social support and emotional regulation ability.
Frontiers in Psychology,
15, Article 1521510.
https://doi.org/10.3389/fpsyg.2024.1521510
Perkins, A. M., Arnone, D., Smallwood, J., & Mobbs, D. (2015). Thinking too much: Self-generated thought as the engine of neuroticism.
Trends in Cognitive Sciences,
19(9), 492–498.
https://doi.org/10.1016/j.tics.2015.07.003
Policastro, F., Accardo, A., Marcovich, R., Pelamatti, G., & Zoia, S. (2018). Relation between motor and cognitive skills in Italian basketball players aged between 7 and 10 years old.
Sports,
6(3), Article 80.
https://doi.org/10.3390/sports6030080
Qian, M. Y., Wu, G. D., Zhu, R. C., & Zhang, X. (2000). Revision of the Chinese version of the Short Eys [In Chinese]. Acta Psychologica Sinica, 3, 317–323.
Rezaie, L., Norouzi, E., Bratty, A. J., & Khazaie, H. (2023). Better sleep quality and higher physical activity levels predict lower emotion dysregulation among persons with major depression disorder.
BMC Psychology,
11(1), Article 171.
https://doi.org/10.1186/s40359-023-01213-3
Santos, G. C. J., Rino, M. J., da Silva Lima, V. L., Santos, J. A., da Silva Fidelis, D. E., Ramos, T. L., de Andrade, A. J., de Lira, C. T. C., & de Souza Fernandes, M. S. (2023). Physical activity and mental health in Brazilian university students: An analysis in different sexes during the COVID-19 pandemic.
Biomedical Human Kinetics,
15(1), 113–120.
https://doi.org/10.2478/bhk-2023-0014
Wang, H., & Lu, J. (2004). Development and investigation of the questionnaire on the self-control ability of junior high school students [In Chinese]. Psychology Science, 6, 1477–1482.
Wang, Q., Yang, P., Tao, B., & Yan, J. (2021). The relationship between self-control and emotional stability of high-level basketball referees in China: The chain mediating role of mood state and psychological resilience [In Chinese]. Sports and Science, 42(6), 86–95.
Wei, W., Duan, R., Han, F., & Wang, Q. (2024). The impact of moderate-intensity basketball intervention on the physical self-esteem and school adjustment of first-year high school students.
PeerJ,
12, Article 17941.
https://doi.org/10.7717/peerj.17941
Wenzel, M., Rowland, Z., & Kubiak, T. (2021). Examining five pathways on how self-control is associated with emotion regulation and affective well-being in daily life.
Journal of Personality,
89(3), 451–467.
https://doi.org/10.1111/jopy.12590
Wu, C., Wang, X., Zhang, Y., Ma, C., & Deng, Y. (2026). The mechanism of physical exercise and adolescent short-form video app addiction: The chain mediating role of autonomous motivation and mental health literacy.
BMC Public Health,
26(1), Article 569.
https://doi.org/10.1186/s12889-026-26220-y
Xiang, M.-Q., Liao, J.-W., Huang, J.-H., Deng, H.-L., Wang, D., Xu, Z., & Hu, M. (2019). Effect of a combined exercise and dietary intervention on self-control in obese adolescents.
Frontiers in Psychology,
10, Article 1385.
https://doi.org/10.3389/fpsyg.2019.01385
Xiao, T., Jiao, C., Yao, J., Yang, L., Zhang, Y., Liu, S., Grabovac, I., Yu, Q., Kong, Z., Yu, J. J., & Zhang, J. (2021). Effects of basketball and baduanjin exercise interventions on problematic smartphone use and mental health among college students: A randomized controlled trial.
Evidence-Based Complementary and Alternative Medicine, 2021(1), Article 8880716.
https://doi.org/10.1155/2021/8880716
Yin, X., Yu, Y., Qian, H., & Wang, Z. (2024). Family happiness and college students’ smartphone addiction control: The chain mediation effect of emotion regulation and self-control.
Frontiers in Public Health,
12, Article 1444033.
https://doi.org/10.3389/fpubh.2024.1444033
Zhang, Q., Wang, X., Miao, L., He, L., & Wang, H. (2022). The effect of chronotype on risk-taking behavior: The chain mediation role of self-control and emotional stability.
International Journal of Environmental Research and Public Health,
19(23), Article 16068.
https://doi.org/10.3390/ijerph192316068