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ORIGINAL RESEARCH article

Front. Psychol., 16 December 2024
Sec. Health Psychology

The mediating role of rumination in the relationship between insomnia and non-suicidal self-injury of college students

  • 1Training and Research Center of Ideological and Political Work Team of Ministry of Education (Shaanxi Normal University), Xi'an, China
  • 2Psychological Health Education and Counseling Center, Sanda University, Shanghai, China

Introduction: Non-suicidal self-injury (NSSI) is a high-risk factor for suicide, which is widespread among college students and is closely associated with psychological issues. Insomnia tends to cause mental instability, and chronic insomnia can trigger severe mood swings, including anxiety, depression, and irritability. It can also lead to memory loss and metabolic disorders. College students are in a critical period of self-development, with significant vulnerability to insomnia and NSSI. This study investigated the influence of insomnia on NSSI among college students and examined the significance of rumination as a mediating factor.

Methods: Using random cluster sampling, we selected 667 college students from Jiangsu, China, and evaluated them using the Athens Insomnia Scale (AIS), Adolescent Self-Injury Scale (ASIS), and Ruminative Responses Scale (RRS). The significance of the mediating effect of rumination on the relationship between insomnia and NSSI among college students was tested using Bootstrap methods.

Results: The fact that the students were only children was statistically significant for rumination scores (p < 0.05). The results showed a significant positive correlation among insomnia, NSSI, and rumination (r = 0.198, 0.737, 0.243, respectively; p < 0.001). Insomnia of college students affects NSSI directly and indirectly through rumination.

Conclusion: Rumination fully mediated the relationship between insomnia and NSSI among college students, indicating an indirect influence of insomnia on NSSI. Total effect value is 0.192. Rumination plays a complete mediating role in the relationship between insomnia and NSSI among college students, with a mediating effect of 84.21%.

1 Introduction

Non-suicidal self-injury (NSSI) refers to the intentional harming of body tissues without suicidal intent, encompassing more than a dozen different manifestations, such as cutting, scratching, burning, pulling out hair, and hurting oneself with sharp objects (Nock, 2010; Zhong et al., 2018a). According to a survey conducted among 223 adolescents receiving care at a community clinic for mood disorders and self-injurious behaviors, approximately two-thirds reported experiencing severe nightly sleep disturbances (McGlinchey et al., 2017). It has become a major public health issue among college students and has gained increasing attention.

NSSI among college students is influenced by several external factors and internal conflicts, and the consequences of NSSI bring indelible harm to individuals and their families (Whitlock et al., 2006). A report published in 2002 investigated the occurrence of NSSI among a school-based cohort of adolescents and showed that the prevalence of “self-injurious” behavior was approximately 14% (Ross and Heath, 2002). A previous comprehensive meta-analysis revealed that the lifetime prevalence of self-injurious behavior among global adolescents was about 22.1% between 1989 and 2018 (Lim et al., 2019). Globally, NSSI is the third leading contributor to disability-adjusted life years (DALYs) among adolescents aged 10–24 years (Voss et al., 2020). A review has estimated an alarmingly high lifetime prevalence of NSSI among Chinese youth, reaching a staggering 24.7% (Qu et al., 2023). Non-suicidal NSSI is frequently comorbid with depression and eating disorders and also leads to an increased risk of suicidal ideation and suicidal behavior (Groschwitz et al., 2015; Xu H. et al., 2022). Self-injurious behavior significantly increases the risk of suicide, with a comorbidity rate between self-harm and suicide reaching 7.7% (Voss et al., 2020; Zhong et al., 2018b). Considering the universality and harmfulness of NSSI, this study aims to investigate the influencing factors and psychological mechanisms underlying NSSI.

1.1 Insomnia and non-suicidal self-injury behavior

Insomnia refers to the subjective experience of dissatisfaction with the quality and duration of sleep, which affects social functioning despite having a suitable sleep environment and opportunities (Xu et al., 2022a). A previous meta-analysis revealed that the pooled prevalence of insomnia in the general population was 22.0% (Zeng et al., 2020). With the development of society, the pressure of study and life of college students has increased, leading to increasingly serious sleep problems, among which the incidence of insomnia is increasing. Consequently, it leads to short-term or long-term health issues such as physical fatigue, decline in physical function, cognitive impairment, obesity, and depression (Jiang et al., 2015; Xu et al., 2022b). According to the cognitive model of insomnia, adolescents with insomnia have lower functional emotional responses and inhibition of impulse control, leading to the implementation of NSSI (Harvey, 2002). A meta-analysis indicates that sleep disturbances serve as a significant risk factor for suicidal ideation and suicide attempts among healthy adolescents. The results emphasize that adolescents with sleep disturbances are more inclined to attempt suicide and experience suicidal ideation than controls (Baldini et al., 2024; Williams et al., 2020). Research has demonstrated a close relationship between insomnia and NSSI, highlighting the significance of investigating sleep issues to prevent NSSI (Latina et al., 2021).

1.2 The mediating role of rumination

Rumination occurs when an individual focuses excessively on negative emotions, thoughts, or behaviors, repeatedly reflects on their causes and consequences, and experiences feelings of being blocked and unable to actively address problems (Nolen-Hoeksema, 1991). Current empirical research utilizing longitudinal follow-up methods to explore the relationship between rumination and sleep quality indicates that rumination promotes cognitive arousal and influences individual sleep quality (Woods and Scott, 2016 Kroese et al., 2016). According to the 3-P model of insomnia (Dhabhar et al., 1997), maintenance factors, such as incorrect sleep cognition, synergistically contribute to the development of persistent insomnia. Studies have demonstrated a significant negative correlation between rumination and sleep quality (Baglioni et al., 2010). When an individual cannot solve a problem due to persistent negative thinking, the non-adaptive characteristics can abruptly increase psychological pressure and foster inclinations toward self-harm (Bandel and Brausch, 2020). Intense rumination can cause an escalating accumulation of negative emotions, easily triggering NSSI (Selby et al., 2013). The emotional cascade model suggests that rumination increases negative emotions, such as those caused by sleep deprivation, which in turn intensifies rumination, thus creating a vicious cycle known as the “emotional cascade.” Moreover, NSSI allows individuals to momentarily divert their attention from rumination to intense physical sensations, thereby disrupting the emotional cascade process (Selby et al., 2013). College students might use NSSI as a direct and effective means to alleviate negative emotions, such as sleep deprivation.

This study combined the 3-P model of insomnia and the emotional cascade model to construct a mediation model to examine the mechanisms underlying the relationship between insomnia and NSSI among college students. Based on relevant theoretical and empirical evidence, the following hypotheses were proposed:

H: Insomnia is positively associated with NSSI, and rumination mediates the relationship between insomnia and NSSI among college students.

2 Materials and methods

2.1 Participants

A total of 680 college students from two universities in Nanjing, China, were selected for this study. The stratified cluster sampling method was employed to select 40 classes, with 10 classes drawn from each grade level, spanning freshmen to seniors. From each selected class, half of the students were randomly chosen to participate in the experiment. The study was designed as a double-blind experiment and conducted individually by a single researcher, who ensured that all tests were administered only after obtaining informed consent from the participants. A total of 680 questionnaires were distributed, of which 667 (98.09%) were effectively collected. Among the respondents, 426 (63.87%) were male students and 241 (36.13%) were female. The student population comprised 362 urban students (54.27%) and 305 rural students (45.73%). In addition, 402 subjects (60.27%) were only children, and 265 (39.73%) were not. The ages of the subjects ranged from 17 to 24 years, with an average age of (19.81 ± 1.31) years.

2.2 Measures

2.2.1 Athens Insomnia Scale

The Athens Insomnia Scale (AIS) proposed by Professor Dan Sedmark from the College of Medicine at Ohio State University in the United States was adopted (Soldatos et al., 2003; Soldatos et al., 2000). The scale consisted of 8 questions with 4 response options: no problem, slight influence, significant influence, and no sleep or severe influence. Scores were accumulated, with a total score of less than 4 indicating no sleep disorder, between 4 and 6 suggesting possible insomnia, and 6 or more indicating the presence of insomnia. This scale is a widely used self-report scale for assessing insomnia symptoms in Chinese individuals (Zhang et al., 2021), and the Cronbach’s alpha value for the entire scale was 0.846.

2.2.2 Adolescent Self-Injury Scale

The Adolescent Self-Injury Scale (ASIS) revised by Feng Yu and complied by Zheng Ying (Zheng, 2006; Feng, 2008), comprising a total of 19 questions, was adopted in this study. Among these questions, 18 were dedicated to exploring the frequency and severity of 18 different types of NSSI, and the rest were open-ended. The NSSI score was calculated as the product of the frequency and severity scores. The measurement outcomes demonstrated excellent internal consistency in this study (Cronbach’s α = 0.912).

2.2.3 Ruminative Responses Scale

Rumination was assessed using the Ruminative Response Scale (RSS) developed by Professor Susan Nolen-Hoeksema and translated into Chinese by Yang Juan (Nolen-Hoeksema and Davis, 1999; Yang et al., 2009). The scale comprised 21 questions encompassing depression-related factors, reflective factors, and compulsive meditation factors. A higher total score corresponded to a higher level of rumination. The measurement outcomes demonstrated excellent internal consistency in this study (Cronbach’s α = 0.966).

2.3 Procedure

The study was reviewed and approved by the Ethics Committee of Sanda University (No. 2023006). The inclusion criteria were college students from freshman year to senior year, with those having suicidal tendencies excluded. All participants willingly consented to participate and provided their informed consent, which included the study’s objectives, provisions for anonymity, and the confidentiality and security of data. The inclusion criteria for the study subjects were college students enrolled in the two selected universities, excluding those with suicidal tendencies. Each questionnaire took approximately 10 min to complete, and the data were collected from January to March 2024.

To minimize the effect of common method variance (CMV) on the results, unrotated exploratory factor analysis was conducted using the Harman factor test on the 59 items encompassing three scales. The results showed that 7 factors had eigenvalues greater than 1. The first factor explained 33.60% of the total variance, which is less than 40%, indicating that the questionnaire data did not suffer from severe CMV (Podsakoff et al., 2003).

2.4 Data analysis

The data were analyzed using SPSS 26.0. All questionnaires were filled out anonymously. The data were used for t-tests, correlation analysis, descriptive statistics, etc. The mediation effects of insomnia in the relationship between social exclusion and NSSI were examined using Hayes’ Process 4.3 plug-in Model 4, supplemented with Bootstrap analysis.

3 Results

3.1 Statistical analysis of demographic differences in insomnia, NSSI, and rumination

Demographic variables for insomnia, NSSI, and rumination among college students were analyzed using the independent samples t-test. The results showed that the students were only children were statistically significant for rumination scores (p < 0.05). However, place of birth were not statistically correlated with insomnia, NSSI, or rumination scores. Detailed results are shown in Table 1.

Table 1
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Table 1. Differences in demographic characteristics of insomnia, NSSI, and rumination among college students (x¯ ± s).

3.2 Descriptive statistics and correlation analysis

Descriptive statistics and correlation analysis were conducted on insomnia, NSSI, and rumination among college students. The results, shown in Table 2, indicate significant positive correlations between these variables. Specifically, there is a significant positive correlation between insomnia and NSSI (r = 0.20, p < 0.001), insomnia and rumination (r = 0.74, p < 0.001), and NSSI and rumination (r = 0.24, p < 0.001). Detailed results are provided in Table 2.

Table 2
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Table 2. Correlation matrix (r) of Insomnia, NSSI and rumination among college students.

3.3 Mediation analysis of insomnia, NSSI, and rumination in college students

The mediation effect was analyzed using model 4 in Hayes’ macro program with insomnia as the independent variable, NSSI as the dependent variable, rumination as the mediator variable, and gender and age as the control variable. The results of the mediation effect analysis showed that the 95% confidence interval (CI) for each path did not include 0, indicating that the mediation effect of the sense of rumination on insomnia and NSSI was significant. The results showed a significant positive correlation between insomnia and NSSI (β = 0.19, t = 5.07, p < 0.001) among college students, indicating that the path coefficient of insomnia and NSSI was significant in the direct effect model. However, after adding rumination as the mediator variable, the positive correlation between insomnia and NSSI was no longer significant (β = 0.04, t = 0.64, p > 0.05), indicating an absence of significant mediation effects in the model. Therefore, rumination plays a full mediation role in the relationship between insomnia and NSSI among college students. Detailed results are shown in Table 3.

Table 3
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Table 3. The mediation effect analysis of rumination.

The mediating effect of rumination between insomnia and NSSI among college students was examined by Bootstrap analysis with 5,000 replicate samples, and the results are shown in Table 4. The direct effect of insomnia on NSSI was significant, with an effect value of 0.04. The Bootstrap 95% confidence intervals (upper and lower limits) did not encompass 0 for any of the paths, suggesting a mediating effect of rumination between insomnia and NSSI among college students. This finding supports Hypothesis 2 with an effect value of 0.16. Moreover, the proportion of the mediating effect to the total effect is 84.21%, and the model diagram of the mediating effect is detailed in Figure 1.

Table 4
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Table 4. Bootstrap analysis for full mediation effects.

Figure 1
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Figure 1. The full mediation effect model. Note: ***p <0.001.

4 Discussion

This study examined how insomnia impacts the NSSI among college students and investigated the mediating role of rumination. It was found that rumination played a mediating role between insomnia and NSSI.

The detection rate of insomnia (scale score greater than 6 points) among college students was 37.33%, and the detection rate of suspicious insomnia (scale score between 3 and 6 points) was 38.23%, consistent with the results of a previous study (Cao et al., 2017). In addition, approximately 23.83% of college students reported experiencing NSSI for at least one time, consistent with the research results of 24.7% obtained by Qu et al. (2023). This result could be attributed to the fact that women have richer emotional experiences, greater sensitivity, and are more susceptible to negative emotions in their academic and personal lives, leading to higher levels of psychological distress and a greater tendency to resort to NSSI (Gandhi et al., 2015).

4.1 The relationship between insomnia, NSSI, and rumination of college students

Insomnia of college students shows a significant positive correlation with NSSI, i.e., the more serious the insomnia of college students, the more serious the NSSI, aligning with previous research (Latina et al., 2021). College students without sleep disorders are physically and mentally happy, less physically impaired, and more energized for daytime activities (Mehta, 2022). Insomnia may affect the clearing of traumatic memories in individuals, prolonging the impact of traumatic memories (Chunhua et al., 2019). Moreover, insomnia may increase the probability of NSSI by intensifying feelings of distress, hopelessness, and individual impulsiveness (Bauducco et al., 2019). Insomnia in college students has a significant correlation with rumination. According to the Cognitive Model of Insomnia (Harvey, 2002), insomniacs tend to worry excessively about sleep and its consequences, and such negative cognitions induce autonomic arousal and emotional distress, with recurrent thoughts about the causes of negative emotional experiences and undesirable outcomes leading to high levels of rumination. Notably, rumination has a significant positive correlation with NSSI, i.e., the higher the level of rumination indicates a more serious NSSI, which is consistent with the previous research results (Nagy et al., 2023). According to the reaction style theory, rumination reduces social support and problem-solving ability, thereby strengthening the influence of negative factors. Intense rumination among adolescents can lead to decreased self-control levels, ultimately resulting in NSSI (Miranda et al., 2013). Previous studies have shown that adolescents can be treated with cognitive behavioral therapy for insomnia (Crevits et al., 2024).

4.2 The mediating role of rumination between insomnia and NSSI among college students

Rumination plays a complete mediating role in the relationship between insomnia and NSSI among college students, with a mediating effect of 84.21%, indicating that insomnia of college students affects NSSI directly and indirectly through rumination. This result validates the emotional cascade model to a certain extent, which suggests that the cascade of rumination and negative emotions creates aversive states, and the NSSI disperses this cascades, thereby reducing the occurrence of negative emotions (Selby et al., 2013). Negative emotions can induce cognitive biases in individuals when confronted with stressful life events related to sleep problems, leading them to excessively focus on and negatively evaluate potential factors contributing to poor sleep quality, ultimately degrading the sleep quality of college students and leading to insomnia.

According to the insomnia maintenance cognitive model, prolonged sleep delay may lead individuals to worry excessively about subsequent sleep quality, triggering and prolonging non-adaptive stress-sleep interactions (Harvey, 2002). Long-term sleep deficiency or insomnia can impair the ability of individuals to regulate negative emotions (Niu and Snyder, 2023), while rumination is considered a maladaptive coping strategy and a unique cognitive mechanism. This mechanism is related to the increase in negative emotions and the decrease in inhibition of negative information. When facing negative emotions reinforced by rumination, students have difficulty initiating and sustaining positive emotion regulation efforts, which aggravates pain and makes NSSI more inclined to avoid aversive experiences (Selby et al., 2013). For college students with NSSI, psychological interventions can incorporate methods such as cognitive behavioral therapy for insomnia and stimulus control therapy to improve sleep conditions, thereby addressing NSSI.

4.3 Limitations and future directions

This study employs a cross-sectional design to explore the relationship between insomnia, NSSI, and rumination in college students. The limitation of a cross-sectional study is that it restricts the consideration of insomnia as a static factor for exploring the impact on NSSI and rumination. In the future, the mechanism between insomnia and NSSI will be investigated through a longitudinal follow-up study. The questionnaire assessment method used in this study did not incorporate psychiatric diagnosis, and relevant diagnostic studies will be considered. Finally, this study is a single-center study, only considering Jiangsu Province. Therefore, multi-center large-scale random cluster sampling will be taken into account. Our future study aims to mitigate the occurrence of NSSI among college students by seeking interpersonal support, establishing positive behavioral patterns, and reducing negative cognitive-emotional regulation. This approach will effectively reduce the comorbidity of NSSI and suicide and effectively intervene in the occurrence of NSSI among college students.

5 Conclusion

In conclusion, this study utilized a questionnaire survey to investigate the mediating effect of rumination on the relationship between insomnia and NSSI. The results of mediation effect analysis showed that insomnia had a significant direct effect on NSSI, but after adding the mediator variable rumination, insomnia had no significant direct effect on NSSI, indicating that rumination played a fully mediating role between insomnia and NSSI. Students with good sleep quality find it easier to relieve fatigue, enhance immune function, promote development, possess greater vitality for interpersonal communication, a stable state of mind, and an optimistic attitude, thus reducing the generation of negative emotions (Xie et al., 2023). Good emotional and cognitive experience are crucial in mitigating the risk of NSSI. To effectively prevent the physical and psychological harm to college students caused by NSSI and reduce the probability of college suicides, schools and families should urge college students to develop reasonable work and rest habits, thereby reducing the number and frequency of staying up late.

Data availability statement

The original contributions of this study are outlined in the article and supplementary materials. For further inquiries, please contact the corresponding author.

Ethics statement

The Ethics Committee of Sanda University (SU-2023006) approved the study. Author Hongli Sun is from sanda 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

HW: Data curation, Software, Supervision, Validation, Writing – original draft, Writing – review & editing. HS: Software, Validation, Writing – review & editing.

Funding

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.

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.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyg.2024.1504890/full#supplementary-material

References

Baglioni, C., Spiegelhalder, K., Lombardo, C., and Riemann, D. (2010). Sleep and emotions: a focus on insomnia. Sleep Med. Rev. 14, 227–238. doi: 10.1016/j.smrv.2009.10.007

Crossref Full Text | Google Scholar

Baldini, V., Gnazzo, M., Rapelli, G., Marchi, M., Pingani, L., Ferrari, S., et al. (2024). Association between sleep disturbances and suicidal behavior in adolescents: a systematic review and meta-analysis. Front. Psych. 15:1341686. doi: 10.3389/fpsyt.2024.1341686

PubMed Abstract | Crossref Full Text | Google Scholar

Bandel, S. L., and Brausch, A. M. (2020). Poor sleep associates with recent nonsuicidal self-injury engagement in adolescents. Behav. Sleep Med. 18, 81–90. doi: 10.1080/15402002.2018.1545652

PubMed Abstract | Crossref Full Text | Google Scholar

Bauducco, S. V., Salihovic, S., and Boersma, K. (2019). Bidirectional associations between adolescents’ sleep problems and impulsive behavior over time. Sleep Med. X 1:100009. doi: 10.1016/j.sleepx.2019.100009

PubMed Abstract | Crossref Full Text | Google Scholar

Cao, X. L., Wang, S. B., Zhong, B. L., Zhang, L., Ungvari, G. S., Ng, C. H., et al. (2017). The prevalence of insomnia in the general population in China: a meta-analysis. PLoS One 12:e0170772. doi: 10.1371/journal.pone.0170772

PubMed Abstract | Crossref Full Text | Google Scholar

Chunhua, X., Jiacui, D., Xue, L., and Kai, W. (2019). Impaired emotional memory and decision-making following primary insomnia. Medicine 98:e16512. doi: 10.1097/MD.0000000000016512

PubMed Abstract | Crossref Full Text | Google Scholar

Crevits, L., Silva, C., and Bat-Pitault, F. (2024). Preliminary study: cognitive behavioural therapy for insomnia in adolescents with anorexia nervosa. Eating and weight disorders-studies on anorexia. Bulimia Obes. 29:3. doi: 10.1007/s40519-023-01634-4

Crossref Full Text | Google Scholar

Dhabhar, F. S., McEwen, B. S., and Spencer, R. L. (1997). Adaptation to prolonged or repeated stress–comparison between rat strains showing intrinsic differences in reactivity to acute stress. Neuroendocrinology 65, 360–368. doi: 10.1159/000127196

Crossref Full Text | Google Scholar

Feng, Y. (2008). The relation of adolescents’ self-harm behaviors, individual emotion characteristics and family environment factors. Wuhan: Central China Normal University.

Google Scholar

Gandhi, A., Luyckx, K., Maitra, S., and Claes, L. (2015). Non-suicidal self-injury and identity distress in Flemish adolescents: exploring gender differences and mediational pathways. Personal. Individ. Differ. 82, 215–220. doi: 10.1016/j.paid.2015.03.031

Crossref Full Text | Google Scholar

Groschwitz, R. C., Kaess, M., Fischer, G., Ameis, N., Schulze, U. M., Brunner, R., et al. (2015). The association of non-suicidal self-injury and suicidal behavior according to DSM-5 in adolescent psychiatric inpatients. Psychiatry Res. 228, 454–461. doi: 10.1016/j.psychres.2015.06.019

PubMed Abstract | Crossref Full Text | Google Scholar

Harvey, A. G. (2002). A cognitive model of insomnia. Behav. Res. Ther. 40, 869–893. doi: 10.1016/S0005-7967(01)00061-4

Crossref Full Text | Google Scholar

Jiang, X. L., Zheng, X. Y., Yang, J., Ye, C. P., Chen, Y. Y., Zhang, Z. G., et al. (2015). A systematic review of studies on the prevalence of insomnia in university students. Public Health 129, 1579–1584. doi: 10.1016/j.puhe.2015.07.030

Crossref Full Text | Google Scholar

Kroese, F. M., Evers, C., Adriaanse, M. A., and de Ridder, D. T. (2016). Bedtime procrastination: a self-regulation perspective on sleep insufficiency in the general population. J. Health Psychol. 21, 853–862. doi: 10.1177/1359105314540014

PubMed Abstract | Crossref Full Text | Google Scholar

Latina, D., Bauducco, S., and Tilton-Weaver, L. (2021). Insomnia symptoms and non-suicidal self-injury in adolescence: understanding temporal relations and mechanisms. J. Sleep Res. 30:e13190. doi: 10.1111/jsr.13190

PubMed Abstract | Crossref Full Text | Google Scholar

Lim, K. S., Wong, C. H., McIntyre, R. S., Wang, J., Zhang, Z., Tran, B. X., et al. (2019). Global lifetime and 12-month prevalence of suicidal behavior, deliberate self-harm and non-suicidal self-injury in children and adolescents between 1989 and 2018: a Meta-analysis. Int. J. Environ. Res. Public Health 16:4581. doi: 10.3390/ijerph16224581

Crossref Full Text | Google Scholar

McGlinchey, E. L., Courtney-Seidler, E. A., German, M., and Miller, A. L. (2017). The role of sleep disturbance in suicidal and nonsuicidal self-injurious behavior among adolescents. Suicide Life Threat. Behav. 47, 103–111. doi: 10.1111/sltb.12268

PubMed Abstract | Crossref Full Text | Google Scholar

Mehta, K. J. (2022). Effect of sleep and mood on academic performance—at interface of physiology, psychology, and education. Humanit. Soc. Sci. Commun. 9, 1–13. doi: 10.1057/s41599-021-01031-1

Crossref Full Text | Google Scholar

Miranda, R., Tsypes, A., Gallagher, M., and Rajappa, K. (2013). Rumination and hopelessness as mediators of the relation between perceived emotion dysregulation and suicidal ideation. Cogn. Ther. Res. 37, 786–795. doi: 10.1007/s10608-013-9524-5

Crossref Full Text | Google Scholar

Nagy, L. M., Shanahan, M. L., and Seaford, S. P. (2023). Nonsuicidal self-injury and rumination: a meta-analysis. J. Clin. Psychol. 79, 7–27. doi: 10.1002/jclp.23394

PubMed Abstract | Crossref Full Text | Google Scholar

Niu, X., and Snyder, H. R. (2023). The role of maladaptive emotion regulation in the bidirectional relation between sleep and depression in college students during the COVID-19 pandemic. Anxiety Stress Coping 36, 83–96. doi: 10.1080/10615806.2022.2073441

PubMed Abstract | Crossref Full Text | Google Scholar

Nock, M. K. (2010). Self-injury. Annu. Rev. Clin. Psychol. 6, 339–363. doi: 10.1146/annurev.clinpsy.121208.131258

Crossref Full Text | Google Scholar

Nolen-Hoeksema, S. (1991). Responses to depression and their effects on the duration of depressive episodes. J. Abnorm. Psychol. 100, 569–582. doi: 10.1037//0021-843x.100.4.569

Crossref Full Text | Google Scholar

Nolen-Hoeksema, S., and Davis, C. G. (1999). " thanks for sharing that": ruminators and their social support networks. J. Pers. Soc. Psychol. 77, 801–814. doi: 10.1037/0022-3514.77.4.801

Crossref Full Text | Google Scholar

Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., and Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. J. Appl. Psychol. 88, 879–903. doi: 10.1037/0021-9010.88.5.879

PubMed Abstract | Crossref Full Text | Google Scholar

Qu, D., Wen, X., Liu, B., Zhang, X., He, Y., Chen, D., et al. (2023). Non-suicidal self-injury in Chinese population: a scoping review of prevalence, method, risk factors and preventive interventions. Lancet Reg. Health Western Pacific 37:100794. doi: 10.1016/j.lanwpc.2023.100794

PubMed Abstract | Crossref Full Text | Google Scholar

Ross, S., and Heath, N. (2002). A study of the frequency of self-mutilation in a community sample of adolescents. J. Youth Adolesc. 31, 67–77. doi: 10.1023/A:1014089117419

Crossref Full Text | Google Scholar

Selby, E. A., Franklin, J., Carson-Wong, A., and Rizvi, S. L. (2013). Emotional cascades and self-injury: investigating instability of rumination and negative emotion. J. Clin. Psychol. 69, 1213–1227. doi: 10.1002/jclp.21966

PubMed Abstract | Crossref Full Text | Google Scholar

Soldatos, C. R., Dikeos, D. G., and Paparrigopoulos, T. J. (2000). Athens insomnia scale: validation of an instrument based on ICD-10 criteria. J. Psychosom. Res. 48, 555–560. doi: 10.1016/S0022-3999(00)00095-7

PubMed Abstract | Crossref Full Text | Google Scholar

Soldatos, C. R., Dikeos, D. G., and Paparrigopoulos, T. J. (2003). The diagnostic validity of the Athens insomnia scale. J. Psychosom. Res. 55, 263–267. doi: 10.1016/S0022-3999(02)00604-9

Crossref Full Text | Google Scholar

Voss, C., Hoyer, J., Venz, J., Pieper, L., and Beesdo-Baum, K. (2020). Non-suicidal self-injury and its co-occurrence with suicidal behavior: An epidemiological-study among adolescents and young adults. Acta Psychiatr. Scand. 142, 496–508. doi: 10.1111/acps.13237

Crossref Full Text | Google Scholar

Whitlock, J., Eckenrode, J., and Silverman, D. (2006). Self-injurious behaviors in a college population. Pediatrics 117, 1939–1948. doi: 10.1542/peds.2005-2543

Crossref Full Text | Google Scholar

Williams, A. B., Dzierzewski, J. M., Griffin, S. C., Lind, M. J., Dick, D., and Rybarczyk, B. D. (2020). Insomnia disorder and behaviorally induced insufficient sleep syndrome: prevalence and relationship to depression in college students. Behav. Sleep Med. 18, 275–286. doi: 10.1080/15402002.2019.1578772

PubMed Abstract | Crossref Full Text | Google Scholar

Woods, H. C., and Scott, H. (2016). #Sleepyteens: social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self-esteem. J. Adolesc. 51, 41–49. doi: 10.1016/j.adolescence.2016.05.008

Crossref Full Text | Google Scholar

Xie, G., Wu, Q., Guo, X., Zhang, J., and Yin, D. (2023). Psychological resilience buffers the association between cell phone addiction and sleep quality among college students in Jiangsu Province, China. Front. Psychiatry 14:1105840. doi: 10.3389/fpsyt.2023.1105840

PubMed Abstract | Crossref Full Text | Google Scholar

Xu, Y. M., Li, C., Zhu, R., and Zhong, B. L. (2022a). Prevalence and correlates of insomnia symptoms in older Chinese adults during the COVID-19 outbreak: a classification tree analysis. J. Geriatr. Psychiatry Neurol. 35, 223–228. doi: 10.1177/08919887221078561

PubMed Abstract | Crossref Full Text | Google Scholar

Xu, Y. M., Pu, S. S., Li, Y., and Zhong, B. L. (2022b). Possible avoidant personality disorder magnifies the association between bullying victimization and depressive symptoms among chinese university freshmen. Front. Psych. 13:822185. doi: 10.3389/fpsyt.2022.822185

PubMed Abstract | Crossref Full Text | Google Scholar

Xu, H., Wang, R., Li, R., Jin, Z., Wan, Y., and Tao, F. (2022). Associations of non-suicidal self-injury and psychological symptoms with suicide attempt in adolescents: are there any gender differences? Front. Psych. 13:894218. doi: 10.3389/fpsyt.2022.894218

PubMed Abstract | Crossref Full Text | Google Scholar

Yang, J., Ling, Y., Xiao, J., and Yao, S. Q. (2009). The Chinese version of ruminative responses scale in high school students: its reliability and validity. Chin. J. Clin. Psych. 17, 27–28. doi: 10.16128/j.cnki.1005-3611.2009.01.021

Crossref Full Text | Google Scholar

Zeng, L. N., Zong, Q. Q., Yang, Y., Zhang, L., Xiang, Y. F., Ng, C. H., et al. (2020). Gender difference in the prevalence of insomnia: a meta-analysis of observational studies. Front. Psych. 11:577429. doi: 10.3389/fpsyt.2020.577429

PubMed Abstract | Crossref Full Text | Google Scholar

Zhang, Q. Q., Li, L., and Zhong, B. L. (2021). Prevalence of insomnia symptoms in older Chinese adults during the COVID-19 pandemic: a meta-analysis. Front. Med. 8:779914. doi: 10.3389/fmed.2021.779914

PubMed Abstract | Crossref Full Text | Google Scholar

Zheng, Y. (2006). Epidemiologic investigation of self-mutilation behavior among adolescents in Wuhan and its functional model. (Unpublished master’s thesis), Central China Normal University, Wuhan.

Google Scholar

Zhong, B. L., Xu, Y. M., Xie, W. X., Chen, W. C., and Lu, J. (2018b). Prevalence of deliberate self-harm among Chinese patients with heroin dependence: a meta-analysis. Front. Psych. 9:325. doi: 10.3389/fpsyt.2018.00325

PubMed Abstract | Crossref Full Text | Google Scholar

Zhong, B. L., Xu, Y. M., Zhu, J. H., and Liu, X. J. (2018a). Non-suicidal self-injury in Chinese heroin-dependent patients receiving methadone maintenance treatment: prevalence and associated factors. Drug Alcohol Depend. 189, 161–165. doi: 10.1016/j.drugalcdep.2018.05.006

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: insomnia, college students, non-suicidal self-injury, rumination, mediating role

Citation: Wang H and Sun H (2024) The mediating role of rumination in the relationship between insomnia and non-suicidal self-injury of college students. Front. Psychol. 15:1504890. doi: 10.3389/fpsyg.2024.1504890

Received: 01 October 2024; Accepted: 26 November 2024;
Published: 16 December 2024.

Edited by:

Bao-Liang Zhong, Wuhan Mental Health Center, China

Reviewed by:

Valentina Baldini, University of Bologna, Italy
Yang Liu, Jishou University, China
Lifen Zhao, Nanjing Normal University, China

Copyright © 2024 Wang and Sun. 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: Hanqing Wang, aDAwODZAcXEuY29t

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