Chengfu Yu1
Qi Xie1
Shanyan Lin2*
Yue Liang1Guodong Wang1,3Yangang Nie1*Jianping Wang4*
Claudio Longobardi2- 1Department of Psychology and Research Center of Adolescent Psychology and Behavior, School of Education, Guangzhou University, Guangzhou, China
- 2Department of Psychology, University of Turin, Turin, Italy
- 3Human Resources Department, Guangzhou University, Guangzhou, China
- 4School of Politics and Public Administration, South China Normal University, Guangzhou, China
Although a large body of research has indicated that cyberbullying victimization is a crucial risk factor for adolescent non-suicidal self-injury (NSSI) behavior, the mediating and moderating mechanisms underlying this relationship remain unclear. To address this research gap, this study, based on the social control theory and the organism-environment interaction model, was designed to test whether school engagement mediated the relationship between cyberbullying victimization and adolescent NSSI and whether this mediating effect was moderated by sensation seeking. A sample of 1,102 adolescents (Mage = 13.17; SD = 0.69) anonymously completed the questionnaires. The results showed that the positive association between cyberbullying victimization and adolescent NSSI was mediated by school engagement. Moreover, this indirect link was significant for adolescents with high-level sensation seeking but non-significant for adolescents with low-level sensation seeking. These findings highlight school engagement as a potential mechanism linking cyberbullying victimization to adolescent NSSI, and high sensation seeking was an important risk factor to amplify this indirect effect. Intervention programs aimed at reducing NSSI among adolescents may benefit from the current research.
Introduction
Non-suicidal self-injury (NSSI) behavior refers to the deliberate, direct, and socially unacceptable destruction of body tissue in the absence of suicidal intent, such as skin cutting, skin burning, hitting oneself, and so on (Nock, 2010). NSSI has become a serious global public health problem. According to the results of survey research, The lifetime prevalence of NSSI among adolescents worldwide is 17.2% (Swannell et al., 2014), the 12 months prevalence of adolescent NSSI in China was relatively high, ranging from 15 to 32.7% (Jiang et al., 2017; Tang et al., 2018; Siu, 2019). Liu et al. (2020) use a sample of 2,716 Chinese adolescents found that the prevalence of NSSI has reached 26.9% in the past 12 months. Furthermore, the developmental consequences of NSSI during adolescence impact a wide array of aspects well-being later in life, and the effects can be far-reaching. These consequences can include anxiety, depression, and future suicidal behaviors (You and Lin, 2015; Davico et al., 2019). Therefore, it is a pressing need to identify the factors that may have important implications for adolescents’ NSSI. The current research tend to explore school engagement as mediator and sensation seeking as moderator in the relationship of cyberbullying victimization and adolescent NSSI. Potential findings of such research may provide insights for developing effective intervention and prevention programs to reduce the prevalence of NSSI.
Cyberbullying Victimization and Adolescent NSSI
Victimization is a risk factor for adolescents’ NSSI (Claes et al., 2015; Baiden et al., 2017). The interpersonal model of NSSI suggests that individuals experiencing negative interpersonal events usually may use NSSI as a maladaptive coping strategy to relieve stress or tension to escape from painful and stressful experiences (Nock, 2010). With the rapidly growing population of Internet users, cyberbullying victimization is becoming increasingly common among adolescents. Cyberbullying refers to one individual or group of individuals who repeatedly communicate hostile or aggressive messages intended to inflict harm or discomfort on others (e.g., usually peers) by a set of behaviors performed through the network of connections (e.g., computers, smartphones) (Li, 2007; Smith et al., 2008; Chan and Wong, 2015). The reported prevalence of cyberbullying victimization varies, with estimates ranging from 15 to 35% for Chinese adolescents (Erreygers et al., 2018; Li et al., 2019). Results from several empirical studies suggest that cyberbullying victimization was positively associated with NSSI and suicidal behavior (Van Geel et al., 2015; Moore et al., 2017; John et al., 2018). Further empirical studies’ findings indicate that adolescents who are bullied (including cybervictimization) are more likely to engage in NSSI (Baiden et al., 2017) and that cyberbullying victimization is associated with a higher risk of suicidality among teenagers (Messias et al., 2014). These findings highlight cyberbullying victimization as a potentially important risk factor for adolescent NSSI. Therefore, the current research explore the mechanism of NSSI affected by risk factors (e.g., cyberbullying victimization), so as to further understand the possible causes of NSSI in adolescents and provide theoretical reference for the prevention and reduction of adolescent NSSI in the future.
School Engagement as a Potential Mediator
A majority of adolescents’ social interactions and learning activities take place in their schools (Sujung and Min, 2018). Hirschi’s social control theory (Hirschi, 1969) states that if individuals have experienced a lack of social bonds (e.g., low school engagement), they were incline to develop delinquent or problematic behaviors. According to the Social Control Theory (Hirschi, 1969), experiencing victimization, such as cyberbullying victimization, may reduce a student’s level of school engagement, which may, in turn, further influence their problematic behaviors, such as engaging in NSSI. This relationship between school engagement and victimization suggests that school engagement may mediate the impact of cyberbullying victimization on adolescent NSSI.
School engagement is a multifaceted construct that incorporates students’ “initiation of action, effort, and persistence on schoolwork, as well as ambient emotional states during learning activities” (Skinner et al., 1990; p. 24). The possible mediating effects of school engagement are suggested by the following facts: First, adolescents who experience cyberbullying victimization are less likely to feel bonded to school and/or engaged in school activities (Buhs et al., 2006; Li et al., 2020). This disengagement occurs because the cyberbullied students tend to have lower levels of psychological resources (including psychological security, self-esteem, self-efficacy, and so on), which can, in turn, reduce their initiative for engaging in school activities (Na et al., 2015). In a longitudinal study, Buhs et al. (2006) found that middle school students who are bullied and who continually experience victimization are at higher risk for school disengagement. Similarly, Li et al. (2020) reported that bullying victimization could significantly reduce middle school students’ emotional and cognitive school engagement.
Additionally, when less engaged in school activities, adolescents are more likely to develop NSSI (Young et al., 2011). The school environment plays a significant role in shaping adolescents’ behaviors, and adolescents may be more inclined to participate in risk-taking behaviors (including NSSI behaviors) when they are less engaged in school (Pittman and Richmond, 2007). For example, Wyman et al. (2010) found that improving students’ school engagement can effectively and significantly reduce their suicide-risk level. Considerable evidence has confirmed that school engagement is an important protective factor against NSSI (Chapman et al., 2011; Kim et al., 2019). Chapman et al. (2011) found that emotional school engagement was associated with lower injurious behavior, including NSSI behavior in adolescents. Moreover, Kim et al. (2019) reported that emotional school engagement could buffer the negative impact of cybervictimization on adolescent NSSI and suicidal behaviors. Based on the literature reviewed above, school engagement may be a crucial mediator in the underlying mechanism that how cyberbullying victimization brings a bear to adolescent NSSI, so we propose the following:
Hypothesis 1: school engagement will mediate the relationship between cyberbullying victimization and adolescents’ NSSI.
Sensation Seeking as a Moderator
Despite what is known about the significant role of cyberbullying victimization in adolescent NSSI, not all adolescents are equally influenced by cyberbullying victimization (Moore et al., 2017). Hence, there must be some potential moderators that buffer or aggravate the risk effect of cyberbullying victimization on adolescent NSSI. According to the organism-environment interaction model (Cummings et al., 2002), individual behavior (e.g., NSSI behavior) is formed and developed in the interaction between the individual and the environment. Namely, when adolescents in the interaction of different levels of intrapersonal attributes (e.g., sensation seeking) and environmental contexts (e.g., cyber, school), they would respond differently to their developmental outcomes (e.g., NSSI behavior). Sensation seeking is a form of difficult temperament that refers to “the seeking of varied, novel, complex and intense sensations and experiences” (Zuckerman et al., 1972). According to the organism-environment interaction model perspective (Cummings et al., 2002), cyberbullying victimization may influence adolescent’s NSSI in conjunction with sensation seeking. Sensation seeking has been identified by numerous empirical researchers to be a robust risk factor for emotional and behavioral problems (Knorr et al., 2013; Laurence et al., 2015). However, to the best of our knowledge, no study to date has tested the moderating effect of sensation seeking on direct or mediating pathways from cyberbullying victimization to adolescent NSSI and other maladjustments. However, some researchers have confirmed that high sensation seeking and impulsivity exacerbate the risk effect of stress on adolescent self-injurious thoughts and behaviors (Pierro et al., 2012; You and Leung, 2012; Aldrich et al., 2018). For example, in a 6-months longitudinal study, Aldrich et al. (2018) found that high impulsivity increased adolescents’ self-injurious thoughts and behaviors that result from stress-induced low psychological arousal.
Additionally, some empirical research results have confirmed that sensation seeking amplifies the risk effect of school adversity on adolescent risk behaviors. For instance, Eklund and Fritzell (2014) found that the interaction of sensation-seeking with negative school effects was associated with an increased risk of adolescents’ delinquent behaviors. Moreover, some empirical research has confirmed that high sensation seeking could significantly aggravate the detrimental effects of the consequences of low school engagement (e.g., substance abuse) on adolescent self-injurious thoughts and behaviors (Ortin et al., 2012). For instance, Ortin et al. (2012) found that sensation seeking significantly amplifies the adverse effect of adolescents’ substance use problems on their suicide attempts. Based on the above theoretical framework and empirical evidence, we propose the following:
Hypothesis 2: sensation seeking will moderate the positive indirect link between cyberbullying victimization and adolescent NSSI. Specifically, this indirect link will be significant among adolescents with high sensation seeking but less significant among adolescents with low sensation seeking.
The Present Study
In the current study, we aimed to bring together the social control theory (Hirschi, 1969) and the organism-environment interaction model (Cummings et al., 2002) to explain why cyberbullying victimization is associated with adolescent NSSI. We aimed to produce a moderated mediation model based on the combined effects described by hypothesis 1 and hypothesis 2 (see Figure 1).
Figure 1. The proposed mediated moderation model. NSSI, non-suicidal self-injurious behavior.
Materials and Methods
Participants
Participants were recruited from three junior middle schools in Guangdong province, southern China, through stratified and random cluster sampling. A total of 1,006 adolescents (51.78% females, n = 521) ranging in age from 12 to 15 (Mage = 13.16, SD = 0.67) participated in this study. There were 556 seventh graders and 450 eighth graders. Reflecting the demographics of the sample, 48.63% of participants’ fathers and 54.07% of their mothers have less than a high school education. 44.51% come from rural areas, and 55.49% from cities.
Measures
Cyberbullying Victimization
Cyberbullying victimization was measured with the Cyberbullying Victimization Scale (Erdur-Baker, 2007). Participating adolescents were asked to report the frequency of cyberbullying victimization they experienced while communicating through the Internet in the past 6 months. The scale provides statements to which participants respond using a 4-point Likert-type score ranging from 1 = never happened to 4 = more than five times. An example of the survey statements is, “Someone once spread untrue and bad things about me on the Internet.” Average scores were calculated for all items in this scale, with higher scores indicating a higher frequency of cyberbullying victimization. This scale has been shown adaptive reliability and validity among Chinese adolescents in previous studies (Zhou et al., 2013; Chu et al., 2018). The result of confirmatory factor analysis (CFA) indicates the scale has good structure validity in this study: χ2/df = 5.01, CFI = 0.88, RMSEA = 0.06, and SRMR = 0.05. Moreover, in this study, Cronbach’s α for this scale was 0.82.
NSSI
NSSI was measured with the 7-item Non-Suicidal Self-Injury Scale (You et al., 2013). Adolescents were asked to report whether they have engaged in NSSI behaviors (i.e., self-cutting, burning, scratching skin and so on) in the past six months. Items were rated on a 4-point Likert scale (1 = never, 2 = once or twice, 3 = three to five times, 4 = six times or more). The result of CFA indicates the scale has very good structure validity in this study: χ2/df = 4.54, CFI = 0.98, RMSEA = 0.06, and SRMR = 0.02. In the current study, the Cronbach’s α coefficient of this scale was 0.71.
School Engagement
A 23-item self-report school engagement questionnaire was used to assess school engagement (Wang et al., 2011). The measure of school engagement has three dimensions, including emotional engagement (e.g., “I feel happy and safe in this school”), behavioral engagement (e.g., “How often do you have trouble paying attention in classes?”), and cognitive engagement (e.g., “How often do you try to figure out problems and planning how to solve them?”). Items were rated on a Likert scale with 5 points, ranging from 1 = “never” to 5 = “always” for emotional engagement and behavioral engagement, and from 1 = “fully disagree” to 5 = “fully agree” for emotional engagement. Average scores of all items were calculated on this scale, with higher scores representing the higher levels of school engagement. The result of CFA indicates the scale has very good structure validity in this study: χ2/df = 4.08, CFI = 0.93, RMSEA = 0.06, and SRMR = 0.05. The scale of school engagement has adequate reliability and validity for Chinese adolescents, in which was proved by previous study (Zhu et al., 2015). In this study, the Cronbach’s α coefficient of this questionnaire was 0.89.
Sensation Seeking
The sensation-seeking subscale of the UPPS-P Impulsive Behavior Scale (Cyders et al., 2014) was used to assess sensation seeking. This scale has been shown adaptive reliability and validity among Chinese adolescents in previous studies (Zhu et al., 2016; Wang et al., 2017). The adolescents were asked to answer four items by indicating the level of sensation seeking (e.g., “I sometimes like doing things that are a bit frightening”). Items were rated on a Likert scale with 4 points (ranging from 1 = strongly disagree to 4 = strongly agree). Average scores were calculated for all items in this scale, and higher composite scores indicate higher levels of sensation seeking. The result of CFA indicates the scale has excellent structure validity in this study: χ2/df = 1.62, CFI = 0.99, RMSEA = 0.03, and SRMR = 0.01. In this study, the Cronbach’s α coefficient of this subscale was 0.74.
Control Variables
Given that parent-adolescent communication is a significant factor influencing adolescent NSSI (Ru et al., 2018), we controlled for this variable in the statistical analyses. The relevant measurement was taken using a parent-adolescent communication questionnaire (Su et al., 2013). Participants indicated how frequently they spoke with their parents regarding daily life, academics, interpersonal interaction, safety, and emotional issues on a 3-point scale ranging from 1 = never to 3 = often. Average scores of all items were calculated on this scale, with higher scores representing higher levels of parent-adolescent communication. The result of CFA indicates the questionnaire has excellent structure validity in this study: χ2/df = 3.48, CFI = 0.99, RMSEA = 0.05, and SRMR = 0.02. In this study, the Cronbach’s α coefficient of this questionnaire was 0.91.
Procedure
This research received ethics approval, with full permission and consent from the Academic Ethics Review Committee of the School of Education, Guangzhou University. Before adolescent participants filled out any of the self-report scales for this study, we received written, signed informed consent from all the adolescent participants, their parents/legal guardians, their teachers, and their schools. In addition, we informed participants that they could quit the research test at any time they wished to. The data were collected by well-trained psychology teachers or undergraduate students who majored in psychology. The data were collected in the format of paper and pencil within the participants in their classrooms. In the process of data collection, the professional staff informed the participants, in advance, that all the collected data are anonymous and would only be used for scientific research purposes. Also, there are no “correct” (right or wrong) answers for any of the choices, allowing participants to respond to the questionnaires according to their true thoughts.
Statistical Analyses
This study used the SPSS 25.0 software for reliability analysis and descriptive statistical analysis. Moreover, we conducted structural equation modeling using maximum likelihood estimation and bootstrapping with 1,000 replicates to test the mediation and moderation effects in Mplus 7.1 (Muthén and Muthén, 1998–2019). According to statisticians’ suggestion (Hoyle, 2012), we used three indices (including χ2/df, CFI, and RMSEA) to evaluate the goodness of fit of a model. The model fit is considered acceptable when χ2/df < 5, CFI > 0.90, RMSEA < 0.08, and SRMR < 0.08 (Hoyle, 2012).
Results
Preliminary Analyses
The means, standard deviations, and correlation coefficients for all variables of the current study are displayed in Table 1. The results indicate that cyberbullying victimization and sensation seeking were both negatively correlated with school engagement and positively correlated with NSSI. Moreover, school engagement scores were negatively correlated with NSSI.
Table 1. Descriptive statistics and correlations for all variables.
Testing for Mediating Effect of School Engagement
The mediation model represented in Figure 2 revealed an excellent fit to the data: χ2/df = 2.34, CFI = 0.98, RMSEA = 0.04, and SRMR = 0.02. Cyberbullying victimization negatively predicted school engagement (b = −0.25, SE = 0.07, β = −0.11, t = −3.59, p < 0.01, 95%CI [−0.39, −0.11]), and school engagement negatively predicted NSSI (b = −0.07, SE = 0.02, β = −0.12, t = −3.59, p < 0.01, 95%CI [−0.11, −0.03]). Moreover, the residual effect of cyberbullying victimization on NSSI was significant (b = 0.30, SE = 0.04, β = 0.21, t = 6.86, p < 0.01, 95%CI [0.22, 0.39]). Bootstrapping analyses indicated that school engagement significant mediated the relation between cyberbullying victimization and adolescent NSSI (indirect effect = 0.018, SE = 0.008, 95% CI [0.005, 0.036]).
Figure 2. Model of the mediating role of school engagement between cyberbullying victimization and NSSI. NSSI, non-suicidal self-injurious behavior. The values outside the brackets are unstandardized coefficients, those in parentheses are standard errors, and those in brackets are standardized coefficients. Paths between gender, age, parent-adolescent interaction, and each of the variables in the model are not displayed. Of those paths, the following were significant: age (b = 0.02, SE = 0.02, β = 0.06, t = 2.11, p < 0.05, 95% CI [0.003, 0.09]), and parent-adolescent interaction (b = 0.20, SE = 0.01, β = 0.40, t = 13.73, p < 0.01, 95% CI [0.17, 0.23]) to school engagement; Parent-adolescent interaction to NSSI (b = 0.03, SE = 0.01, β = −0.09, t = −2.82, p < 0.01, 95% CI [−0.05, −0.01]). ∗∗p < 0.01.
Testing for Moderated Mediation
The moderated mediation model represented in Figure 3 revealed a good fit to the data: χ2/df = 2.63, CFI = 0.99, RMSEA = 0.04, and SRMR = 0.03. The bias-corrected percentile bootstrap results indicated that the indirect effect of cyberbullying victimization on adolescent NSSI through school engagement was moderated by sensation seeking. Specifically, sensation seeking moderated the association between school engagement and NSSI (b = −0.06, SE = 0.02, β = −0.07, t = −2.35, p < 0.05, 95% CI [−0.11, −0.01]). We conducted a simple slopes test, and, as depicted in Figure 4, school engagement was significantly associated with NSSI among the adolescents with higher sensation seeking (1 SD above the mean; b = −0.10, SE = 0.03, t = −3.95, p < 0.01, 95% CI [−0.16, −0.05]). However, this link between school engagement and NSSI was not significant among the adolescents with lower sensation seeking (1 SD below the mean; b = −0.03, SE = 0.03, t = −1.02, p > 0.05, 95% CI [−0.08, 0.02]). Moreover, sensation seeking had a significant negative association with school engagement(b = −0.08, SE = 0.02, β = −0.12, t = −3.99, p < 0.01, 95% CI [−0.13, −0.04]) and a significant positive relationship with NSSI (b = 0.04, SE = 0.01, β = 0.09, t = 2.86, p < 0.01,95% CI [0.01, 0.06]). However, the interaction between cyberbullying victimization and sensation seeking in predicting school engagement and NSSI were not significant.
Figure 3. Model of the moderating role of sensation seeking on the indirect relationship between cyberbullying victimization and NSSI. SS, sensation seeking; NSSI, non-suicidal self-injurious behavior. The values outside the brackets are unstandardized coefficients, those in parentheses are standard errors, and those in brackets are standardized coefficients. Paths between gender, age, parent-adolescent interaction, and each of the variables in the model are not displayed. Of those paths, the following were significant: parent-adolescent interaction to school engagement (b = 0.19, SE = 0.02, β = 0.40, t = 13.61, p < 0.01, 95% CI [0.17, 0.22]) and NSSI (b = −0.03, SE = 0.01, β = −0.10, t = −3.01, p < 0.01, 95% CI [−0.05, −0.01]). ∗p < 0.05, ∗∗p < 0.01.
Figure 4. NSSI among adolescents as a function of school engagement and sensation seeking. NSSI, non-suicidal self-injurious behavior.
Moreover, the indirect link between cyberbullying victimization and NSSI via school engagement was significant for the adolescents with higher sensation seeking (indirect effect = 0.025, SE = 0.015, 95% CI [0.001, 0.062]). However, this indirect link was non-significant for those with lower sensation seeking (indirect effect = 0.005, SE = 0.006, 95% CI [−0.002, 0.029]). Therefore, the mediating effect of school engagement between cyberbullying victimization and adolescent NSSI was moderated by sensation seeking. Furthermore, we conducted a supplementary analysis. The results indicated that no paths were moderated by gender.
Discussion
Despite burgeoning evidence for the risk effect of bullying(include cyberbullying victimization) on adolescent NSSI (Baiden et al., 2017; Esposito et al., 2019), few researchers have examined the mechanisms involved in mediating and moderating effect. To address this research gap, we tested whether school engagement mediated the relationship between cyberbullying victimization and adolescent NSSI and whether this mediating effect was moderated by sensation seeking.
Consistent with hypothesis 1 and the prediction derived from the social control theory (Hirschi, 1969), the current study found that school engagement mediated the positive association between cyberbullying victimization and adolescent NSSI. In other words, adolescents who experience cyberbullying victimization may reduce their school engagement, which may, in turn, increase their problematic behaviors such as NSSI. Thus, insufficient school engagement is one of the explanatory mechanisms for why adolescents are more likely to adopt NSSI to cope with their experience of cyberbullying victimization. In line with previous studies, adolescents who report being bullied and perceived unsafety and distrust at school (i.e., low school engagement) were more inclined to develop NSSI (Noble et al., 2011). Emotional school engagement also has been found to play a significant indirect role between cyberbullying victimization and suicidal behavior (Kim et al., 2019). Additionally, school engagement may be a crucial protective factor for the effective prevention and reduction of adolescent NSSI; this was also supported by prior studies (Chapman et al., 2011; Kim et al., 2019). For example, Chapman et al. (2011) found that higher levels of emotional school engagement were associated with lower injurious behavior. Previous studies have illustrated there are some mediators (e.g., depressive mood and symptoms) between bullying victimization and adolescent NSSI (Claes et al., 2015; Baiden et al., 2017). The current research further demonstrated the mediating role of school engagement in the relationship between cyberbullying victimization and adolescent NSSI. Therefore, this finding enriches the body of research regarding the potential mechanisms between cyberbullying victimization and adolescent NSSI. Additionally, previous studies pointed out that assessing the influence factors of adolescents’ NSSI behaviors could be help to comprehend the formulation of specific strategies for treating members of this behavior (Ong et al., 2017). This study provides insights that may be useful for developing intervention programs aiming to reduce the incidence of adolescent NSSI. For example, the study found that cyberbullying victimization was a risk factor and school engagement was a exactly protective factor for adolescent NSSI behavior, thus, intervention programs of school could focus on these two empirically validated factors and add effective interventions to reduce adolescent NSSI (Hasking et al., 2016).
Our findings were consistent with hypothesis 2 and the prediction derived from the organism-environment interaction model (Cummings et al., 2002). Our results suggest that the risk effect of cyberbullying victimization on adolescent NSSI via school engagement was significant for adolescents with high-level sensation seeking but non-significant for adolescents with low-level sensation seeking. Specifically, the risk effect of low school engagement on adolescent NSSI was significantly exacerbated by high sensation seeking. This effect probably occurs because adolescents with high sensation-seeking levels are more likely to use maladaptive regulation strategies rashly (e.g., affiliate with deviant peers) when they lack emotional support from teachers and classmates (Zhu et al., 2016), which in turn increases NSSI. This result may also be explained by the reverse-buffering model (Rueger et al., 2016), which proposes that a risk factor strengthens the negative connection between a beneficial factor and a maladjustment outcome. More specifically, high levels of sensation seeking reinforce the negative impacts of low school engagement on adolescents’ NSSI.
This study also reveals that sensation seeking did not moderate the association between cyberbullying victimization and adolescent school engagement and NSSI. Specifically, high sensation seeking cannot exacerbate the adverse direct impacts of cyberbullying victimization on adolescent development. This finding may reflect that cyberbullied adolescents often lack adequate psychological resources and the interpersonal support resources needed to deal with cyberbullying victimization (Na et al., 2015). The lack of skills and support puts them at high risk for school disengagement and NSSI, regardless of the protective effects of low sensation seeking. It may also suggest that cyberbullying victimization has a comparatively robust impact on adolescents’ school engagement and NSSI, and sensation seeking may only modulate cyberbullying victimization’s psychological and behavioral effects (e.g., school engagement) on NSSI. Further explorations of other crucial moderating variables (such as school connectedness, Kim et al., 2019) are necessary to determine which factors could aggravate or buffer the impacts of cyberbullying victimization.
In conclusion, the creative point of this study is to produce reliable data to construct a moderated mediation model for exploring “how and when” the potential risk and protective factors take effect on adolescents’ NSSI. Specifically speaking, cyberbullying victimization has negative impact on adolescents’NSSI via school engagement when adolescents with high-level sensation seeking. We found that school engagement was a protective factor for NSSI among adolescents with low sensation seeking. However, among adolescents with high sensation seeking, school engagement cannot withstand the detrimental impact of being cyberbullied on their NSSI. These results emphasize the significant role of school engagement and sensation seeking in the relationship between cyberbullying victimization and NSSI among Chinese adolescents. Thus, the current study offers an analysis model to recognize the role of school aspect (school engagement) and personal factor (sensation seeking) between cybervictimization and NSSI, which is an important contribution to advance in the understanding of adolesceent cyberbullying phenomena and its negative impact on their NSSI behavior. Meanwhile, the current study provide some reference value for future related research and prevention programs developed for Chinese adolescent NSSI.
Limitations and Future Directions
Undoubtedly, the current research has some limitations, but it also provides some possible directions for future research. First, all the assessments in this study were reported by the adolescents; thus, common method bias might exist to a certain degree (Du et al., 2005). Second, this research was performed using a cross-sectional study design, so the results cannot uncover the causal relationships between studied variables (Maxwell et al., 2011). Longitudinal tracking designs can be considered in the future. Third, this research only explored the mediating role of school engagement and the moderating role of sensation seeking in the relationship between cyberbullying victimization and NSSI among Chinese adolescents, which undermines the cross-cultural generalizability of the conclusions. Future research may consider other mediating variables (e.g., basic psychological needs satisfaction, Emery et al., 2017) and moderating variables (e.g., attachment with peers and parents, Jiang et al., 2017) to further explore the mechanisms between cyberbullying victimization and adolescents’ NSSI in eastern and western cultures.
General Conclusion
1. The positive association between cyberbullying victimization and adolescent NSSI was mediated by school engagement.
2. This indirect link of cyberbullying victimization on adolescent NSSI via school engagement was significant for adolescents with high-level sensation seeking but non-significant for adolescents with low-level sensation seeking.
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the corresponding authors, without undue reservation, to any qualified researcher.
Ethics Statement
The studies involving human participants were reviewed and approved by the Academic Ethics Review Committee of the School of Education, Guangzhou University. Written informed consent to participate in this study was provided by the participants’ legal guardian/next of kin.
Author Contributions
CY, QX, SL, YN, and JW conceived and designed the research. CY and JW performed the research. CY analyzed the data. CY, QX, SL, YL, GW, YN, JW, and CL contributed to the writing of the manuscript, revised the manuscript critically for important intellectual content, and commented on and approved the final manuscript. All authors contributed to the article and approved the submitted version.
Funding
This study was supported by the National Natural Science Foundation of China (31671153).
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
Aldrich, J. T., Wielgus, M. D., and Mezulis, A. H. (2018). Low physiological arousal and high impulsivity as predictors of self-injurious thoughts and behaviors among adolescents. J. Adolesc. 62, 55–60. doi: 10.1016/j.adolescence.2017.11.006
Baiden, P., Stewart, S. L., and Fallon, B. (2017). The mediating effect of depressive symptoms on the relationship between bullying victimization and non-suicidal self-injury among adolescents: findings from community and inpatient mental health settings in Ontario, Canada. Psychiatry Res. 255, 238–247. doi: 10.1016/j.psychres.2017.05.018
Buhs, E. S., Ladd, G. W., and Herald, S. L. (2006). Peer exclusion and victimization: processes that mediate the relation between peer group rejection and children’s classroom engagement and achievement? J. Educ. Psychol. 98, 1–13. doi: 10.1037/0022-0663.98.1.1
Chan, H. C., and Wong, D. S. W. (2015). Traditional school bullying and cyberbullying in Chinese societies: prevalence and a review of the whole-school intervention approach. Aggress. Violent Behav. 23, 98–108. doi: 10.1016/j.avb.2015.05.010
Chapman, R. L., Buckley, L., Sheehan, M. C., Shochet, I. M., and Romaniuk, M. (2011). The impact of school connectedness on violent behavior, transport risk-taking behavior, and associated injuries in adolescence. J. School Psychol. 49, 399–410. doi: 10.1016/j.jsp.2011.04.004
Chu, X. W., Fan, C. Y., Liu, Q. Q., and Zhou, Z. K. (2018). Cyberbullying victimization and symptoms of depression and anxiety among chinese adolescents: examining hopelessness as a mediator and self-compassion as a moderator. Comput. Hum. Behav. 86, 377–386. doi: 10.1016/j.chb.2018.04.039
Claes, L., Luyckx, K., Baetens, I., Van de Ven, M., and Witteman, C. (2015). Bullying and victimization, depressive mood, and non-suicidal self-injury in adolescents: the moderating role of parental support. J. Child Fam. Stud. 24, 3363–3371. doi: 10.1007/s10826-015-0138-2
Cummings, M. E., Davies, P. T., and Campbell, S. B. (2002). Developmental Psychopathology and Family Process: Theory, Research, and Clinical Implications. New York, NY: The Guilford Press.
Cyders, M. A., Littlefield, A. K., Coffey, S., and Karyadi, K. A. (2014). Examination of a short english version of the UPPS-P impulsive behavior scale. Addict. Behav. 39, 1372–1376. doi: 10.1016/j.addbeh.2014.02.013
Davico, C., Amianto, F., Gaiotti, F., Lasorsa, C., Peloso, A., Bosia, C., et al. (2019). Clinical and personality characteristics of adolescents with anorexia nervosa with or without non-suicidal self-injurious behavior. Compr. Psychiatry 94:152115. doi: 10.1016/j.comppsych.2019.152115
Du, J. Z., Zhao, G. X., and Liu, J. P. (2005). Common method biases in measures. Psychol Sci. 28, 165–167.
Eklund, J. M., and Fritzell, J. (2014). Keeping delinquency at bay: the role of the school context for impulsive and sensation-seeking adolescents. Eur. J. Criminol. 11, 682–701. doi: 10.1177/1477370813512584
Emery, A. A., Heath, N. L., and Mills, D. J. (2017). The role of basic need satisfaction in the onset, maintenance, and cessation of non-suicidal self-injury: an application of self-determination theory. Arch. Suicide Res. 21, 413–424. doi: 10.1080/13811118.2016.1211043
Erdur-Baker, O. (2007). Cyberbullying and its correlation to traditional bullying, gender and frequent and risky usage of internet-mediated communication tools. New Media Soc. 27, 31–42.
Erreygers, S., Vandebosch, H., Vranjes, I., Baillien, E., and Witte, H. D. (2018). The interplay of negative experiences, emotions and affective styles in adolescents’ cybervictimization: a moderated mediation analysis. Comput. Hum. Behav. 81, 223–234. doi: 10.1016/j.chb.2017.12.027
Esposito, C., Bacchini, D., and Affuso, G. (2019). Adolescent non-suicidal self-injury and its relationships with school bullying and peer rejection. Psychiatr. Res. 274, 1–6. doi: 10.1016/j.psychres.2019.02.018
Hasking, P. A., Heath, N. L., Kaess, M., Lewis, S. P., Plener, P. L., Walsh, B. W., et al. (2016). Position paper for guiding response to non-suicidal self-injury in schools. Sch. Psychol Int. 37, 644–663. doi: 10.1177/0143034316678656
Hoyle, R. H. (2012). Handbook of structural equation modeling. Struct. Equ. Modeling 20, 354–360. doi: 10.1080/10705511.2013.769397
Jiang, Y., You, J., Zheng, X., and Lin, M. P. (2017). The qualities of attachment with significant others and self-compassion protect adolescents from non suicidal self-injury. Sch. Psychol. Q. 32, 143–155. doi: 10.1037/spq0000187
John, A., Glendenning, A. C., Marchant, A., Montgomery, P., and Hawton, K. (2018). Self-harm, suicidal behaviours, and cyberbullying in children and young people: systematic review. J. Med. Internet Res. 20, 1–15.
Kim, J. H., Walsh, E., Pike, K., and Thompson, E. A. (2019). Cyberbullying and victimization and youth suicide risk: the buffering effects of school connectedness. J. Sch. Nurs. 36, 251–257. doi: 10.1177/1059840518824395
Knorr, A. C., Jenkins, A. L., and Conner, B. T. (2013). The role of sensation seeking in non-suicidal self-injury. Cognit. Ther. Res. 37, 1276–1284. doi: 10.1007/s10608-013-9554-z
Laurence, C., Islam, M. A., Fagundo, A. B., Susana, J. M., Roser, G., Agüera, Z., et al. (2015). The relationship between non-suicidal self-injury and the UPPS-P impulsivity facets in eating disorders and healthy controls. PLoS One 10:e0126083. doi: 10.1371/journal.pone.0126083
Li, J., Sidibe, A. M., Shen, X., and Hesketh, T. (2019). Incidence, risk factors and psychosomatic symptoms for traditional bullying and cyberbullying in Chinese adolescents. Child. Youth Serv. Rev. 107:104511. doi: 10.1016/j.childyouth.2019.104511
Li, L., Chen, X., and Li, H. (2020). Bullying victimization, school belonging, academic engagement and achievement in adolescents in rural China: a serial mediation model. Child. Youth Serv. Rev. 113:104946. doi: 10.1016/j.childyouth.2020.104946
Li, Q. (2007). Bullying in the new playground: research into cyberbullying and cybervictimization. Australas. J. Educ. Tec. 23, 435–454. doi: 10.14742/ajet.1245
Liu, S. H., You, J. N., Ying, J. F., Li, X. A., and Shi, Q. (2020). Emotion reactivity, nonsuicidal self-injury, and regulatory emotional self-efficacy: a moderated mediation model of suicide ideation. J. Affect Disord. 266, 82–89. doi: 10.1016/j.jad.2020.01.083
Maxwell, S. E., Cole, D. A., and Mitchell, M. A. (2011). Bias in cross-sectional analyses of longitudinal mediation: partial and complete mediation under an autoregressive model. Multivar. Behav. Res. 46, 816–841. doi: 10.1080/00273171.2011.606716
Messias, E., Kindrick, K., and Castro, J. (2014). School bullying, cyberbullying, or both: correlates of teen suicidality in the 2011 CDC youth risk behavior survey. Compr. Psychiatry 55, 1063–1068. doi: 10.1016/j.comppsych.2014.02.005
Moore, S. E., Norman, R. E., Suetani, S., Thomas, H. J., Sly, P. D., and Scott, J. G. (2017). Consequences of bullying victimization in childhood and adolescence: a systematic review and meta-analysis. World J. Psychiatry 7, 60–76. doi: 10.5498/wjp.v7.i1.60
Na, H., Dancy, B. L., and Park, C. (2015). College student engaging in cyberbullying victimization: cognitive appraisals, coping strategies, and psychological adjustments. Arch. Psychiatry Nurs. 29, 155–161. doi: 10.1016/j.apnu.2015.01.008
Noble, R. N., Sornberger, M. J., Toste, J. R., Heath, N. L., and McLouth, R. (2011). Safety first: the role of trust and school safety in non-suicidal self-injury. McGill J. Educ. 46, 423–441. doi: 10.7202/1009175ar
Ong, S. H., Tan, A. C. Y., and Liang, W. Z. (2017). Functions of nonsuicidal self-injury in singapore adolescents: implications for intervention. Asian J. Psychiatry 28, 47–50. doi: 10.1016/j.ajp.2017.03.015
Ortin, A., Lake, A. M., Kleinman, M., and Gould, M. S. (2012). Sensation seeking as risk factor for suicidal ideation and suicide attempts in adolescence. J. Affect Disord. 143, 214–222. doi: 10.1016/j.jad.2012.05.058
Pierro, R. D., Sarno, I., Perego, S., Gallucci, M., and Madeddu, F. (2012). Adolescent nonsuicidal self-injury: the effects of personality traits, family relationships and maltreatment on the presence and severity of behaviours. Eur. Child Adoles. Psychiatry 21, 511–520. doi: 10.1007/s00787-012-0289-2
Pittman, L., and Richmond, A. (2007). Academic and psychological functioning in late adolescence: the importance of school belonging. J. Exp. Educ. 75, 270–290. doi: 10.3200/jexe.75.4.270-292
Ru, F., Yang, L., Fu, S., Zhang, L., Tang, H., Fu, Y., et al. (2018). Parent-adolescent attachment and nonsuicidal self-injurious behaviors among middle school students. Chinese J. Sch. Health 39, 681–687.
Rueger, S. Y., Malecki, C. K., Pyun, Y., Aycock, C., and Coyle, S. (2016). A meta-analytic review of the association between perceived social support and depression in childhood and adolescence. Psychol. Bull. 142, 1017–1067. doi: 10.1037/bul0000058
Siu, M. H. A. (2019). Self-harm and suicide among children and adolescents in Hong Kong: a review of prevalence, risk factors, and prevention strategies. J. Adolesc. Health 64, S59–S64.
Skinner, E. A., Wellborn, J. G., and Connell, J. P. (1990). What it takes to do well in school and whether I’ve got it: a process model of perceived control and children’s engagement and achievement in school. J. Educ. Psychol. 82, 22–32. doi: 10.1037/0022-0663.82.1.22
Smith, P. K., Mahdavi, J., Carvalho, M., Fisher, S., Russell, S., and Tippett, N. (2008). Cyberbullying: its nature and impact in secondary school pupils. J. Child Psychol. Psychiatry 49, 376–385. doi: 10.1111/j.1469-7610.2007.01846.x
Sujung, C., and Min, L. J. (2018). Explaining physical, verbal, and social bullying among bullies, victims of bullying, and bully-victims: assessing the integrated approach between social control and lifestyles-routine activities theories. Child Youth Serv. Rev. 91, 372–382. doi: 10.1016/j.childyouth.2018.06.018
Su, S., Li, X., Lin, D., Xu, X., and Zhu, M. (2013). Psychological adjustment among left-behind children in rural China: the role of parental migration and parent-child communication. Child Care Health Dev. 39, 162–170. doi: 10.1111/j.1365-2214.2012.01400.x
Swannell, S. V., Martin, G. E., Page, A., Hasking, P., and St John, N. J. (2014). Prevalence of nonsuicidal self-injury in nonclinical samples: systematic review, meta-analysis and meta-regression. Suicide. Life Threat. Behav. 44, 273–303. doi: 10.1111/sltb.12070
Tang, J., Li, G., Chen, B., Huang, Z., Zhang, Y., Chang, H., et al. (2018). Prevalence of and risk factors for non-suicidal self-injury in rural China: results from a nationwide survey in China. J. Affect Disord. 226, 188–195. doi: 10.1016/j.jad.2017.09.051
Van Geel, M., Goemans, A., and Vedder, P. (2015). A meta-analysis on the relation between peer victimization and adolescent non-suicidal self-injury. Psychiatry Res. 230, 364–368. doi: 10.1016/j.psychres.2015.09.017
Wang, M. T., Willett, J. B., and Eccles, J. S. (2011). The assessment of school engagement: examining dimensionality and measurement invariance by gender and race/ethnicity. J. Sch. Psychol. 49, 465–480. doi: 10.1016/j.jsp.2011.04.001
Wang, Z., Yu, C., Zhang, W., Chen, Y., Zhu, J., and Liu, Q. (2017). School climate and adolescent aggression: a moderated mediation model involving deviant peer affiliation and sensation seeking. Pers. Indiv. Differ. 119, 301–306. doi: 10.1016/j.paid.2017.08.004
Wyman, P. A., Brown, C. H., Lomurray, M., Schmeelk-Cone, K., Petrova, M., Yu, Q., et al. (2010). An outcome evaluation of the sources of strength suicide prevention program delivered by adolescent peer leaders in high schools. Am. J. Public Health 100, 1653–1661. doi: 10.2105/ajph.2009.190025
You, J., and Leung, F. (2012). The role of depressive symptoms, family invalidation and behavioral impulsivity in the occurrence and repetition of non-suicidal self-injury in Chinese adolescents: a 2-year follow-up study. J Adolesc. 35, 389–395. doi: 10.1016/j.adolescence.2011.07.020
You, J., Lin, M. P., Fu, K., and Leung, F. (2013). The best friend and friendship group influence on adolescent nonsuicidal self-injury. J. Abnorm. Child Psychol. 41, 993–1004. doi: 10.1007/s10802-013-9734-z
You, J., and Lin, M.-P. (2015). Predicting suicide attempts by time varying frequency of nonsuicidal self-injury among Chinese community adolescents. J. Consult. Clin. Psychol. 83, 524–533. doi: 10.1037/a0039055
Young, R., Sweeting, H., and Ellaway, A. (2011). Do schools differ in suicide risk? The influence of school and neighbourhood on attempted suicide, suicidal ideation and self-harm among secondary school pupils. BMC Public Health 11:874. doi: 10.1186/1471-2458-11-874
Zhou, Z., Tang, H., Tian, Y., Wei, H., Zhang, F., and Morrison, C. M. (2013). Cyberbullying and its risk factors among Chinese high school students. Sch. Psychol Int. 34, 630–647. doi: 10.1177/0143034313479692
Zhu, J., Yu, C., Zhang, W., Bao, Z., Jiang, Y., Chen, Y., et al. (2016). Peer victimization, deviant peer affiliation and impulsivity: predicting adolescent problem behaviors. Child Abuse Neg. 58, 39–50. doi: 10.1016/j.chiabu.2016.06.008
Zhu, J., Zhang, W., Yu, C., and Bao, Z. (2015). Early adolescent internet game addiction in context: how parents, school, and peers impact youth. Comput. Hum. Behav. 50, 159–168. doi: 10.1016/j.chb.2015.03.079
Keywords: cyberbullying, school engagement, sensation seeking, adolescent, non-suicidal self-injury
Citation: Yu C, Xie Q, Lin S, Liang Y, Wang G, Nie Y, Wang J and Longobardi C (2020) Cyberbullying Victimization and Non-suicidal Self-Injurious Behavior Among Chinese Adolescents: School Engagement as a Mediator and Sensation Seeking as a Moderator. Front. Psychol. 11:572521. doi: 10.3389/fpsyg.2020.572521
Received: 14 June 2020; Accepted: 15 October 2020;
Published: 05 November 2020.
Edited by:
Eva M. Romera, University of Córdoba, SpainReviewed by:
Paula Da Costa Ferreira, University of Lisbon, PortugalHerrera-López Mauricio, University of Nariño, Colombia
Copyright © 2020 Yu, Xie, Lin, Liang, Wang, Nie, Wang and Longobardi. 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: Shanyan Lin, c2hhbnlhbi5saW5AdW5pdG8uaXQ=; Yangang Nie, bmllLXlhbmdhbmdAZ3podS5lZHUuY24=; Jianping Wang, d2FuZ2pwQHNjbnUuZWR1LmNu