Open Access
ARTICLE
Parental Psychological Control and Bullying Victimization in Chinese Adolescents: Roles of Deviant Peer Affiliation and Self-Compassion
Department of Psychology, Faculty of Arts and Sciences, Beijing Normal University at Zhuhai, Zhuhai, China
* Corresponding Author: Ling Sun. Email:
(This article belongs to the Special Issue: Adolescent and Youth Mental Health: Toxic and Friendly Environments)
International Journal of Mental Health Promotion 2026, 28(5), 10 https://doi.org/10.32604/ijmhp.2026.077266
Received 05 December 2025; Accepted 27 February 2026; Issue published 28 May 2026
Abstract
Background: Bullying victimization (BV) represents a critical public health concern among Chinese adolescents, with significant implications for psychological well-being. Although accumulating evidence underscores the detrimental association between maladaptive parenting practices and increased bullying victimization, the precise mediating mechanisms linking parental psychological control (PPC) to BV remain inadequately elucidated. This study addresses this gap by examining pathways through which PPC and deviant peer affiliation (DPA) jointly influence BV, while accounting for the protective role of self-compassion (SC). Methods: A sample of 861 Chinese adolescents (429 male; mean age = 14.08 years, SD = 1.07) recruited via a convenience sampling method completed validated self-report measures assessing PPC, DPA, SC, and BV frequency. Results: PPC is significantly associated with higher levels of BV (β = 0.268, p < 0.001). Crucially, structural equation modeling revealed that DPA partially mediated this relationship (β = 0.043, p < 0.01), indicating that PPC is positively associated with BV, and this association is mediated by DPA. Further moderation analyses identified SC as a buffering factor (β = −0.077, SE = 0.038, p < 0.05): Only adolescents with lower SC exhibited strengthened indirect effects of PPC on BV via DPA. This suggests SC mitigates the pathway from coercive parenting to risky peer associations. Conclusion: These findings contribute novel insights into multifaceted risk and protective factors for BV. PPC appears to function as a distal familial factor associated with adolescents’ victimization experiences through peer-related processes, whereas SC emerges as an intrapersonal resilience-related factor. The study underscores the adverse consequences of psychologically controlling parenting and provides empirical support for targeted interventions.Keywords
Bullying victimization (BV) is characterized by repeated, intentional peer aggression within a power-imbalanced relationship, causing psychological or physical harm to victims unable to defend themselves [1]. Recent meta-analytic evidence shows that one in four adolescents worldwide are affected by BV [2]. BV not only leads to psychopathological symptoms (e.g., depression, anxiety) [3,4,5], but also may alter victims’ social cognition, leading to maladaptive coping strategies such as aggressive cognitive styles (increased hostility) [6]. Specifically, this can perpetuate a cycle of victim-to-perpetrator transition, in which a victim may later bully others [7]. Research investigating modifiable risk factors and fundamental processes of BV is therefore essential for informing the design of tailored intervention approaches.
Bullying is widely conceptualized as an ecological phenomenon embedded within adolescents’ everyday social contexts, rather than an isolated individual experience [8]. Ecological systems theory [9] emphasizes that development unfolds through dynamic interactions between individuals and their nested environments, particularly within proximal microsystems such as the family, peer group, and school. Extending this perspective, the Social–Ecological Diathesis–Stress model proposes that environmental stressors interact with individual vulnerabilities to shape adolescents’ adjustment within peer contexts, including experiences of bullying victimization [8]. Together, these frameworks suggest that family processes may influence bullying risk indirectly by shaping adolescents’ peer environments, and that individual characteristics may condition adolescents’ susceptibility to these contextual influences. Within this framework, negative parenting practices such as parental psychological control (PPC) represent a distal microsystemic factor that shapes adolescents’ relational schemas and emotion regulation capacities, which in turn influence peer interactions [10,11]. Deviant peer affiliation (DPA), which is defined as selective association with peers who engage in problem or delinquent behaviours [12], has been identified as one such peer-context mechanism.
Empirical studies consistently indicate that adolescents exposed to dysfunctional or coercive parenting environments are more likely to affiliate with deviant peers [13,14]. From a social–ecological diathesis–stress perspective, psychologically controlling parenting may heighten adolescents’ cognitive and emotional vulnerabilities, including diminished autonomy, poor emotion regulation, and maladaptive interpersonal schemas, which in turn shape their peer selection processes [15,16]. Hence, DPA constitutes a critical peer-level mechanism through which family risk may be translated into victimization experiences. Although prior research suggests that the association between DPA and bullying dynamics may be bidirectional—serving both as a precursor to and a consequence of victimization [11,17,18]. The present study conceptualizes DPA primarily as a peer-context mechanism through which family-level risk is associated with bullying victimization. This conceptualization is consistent with ecological systems theory, which emphasizes the cascading influence of family processes on adolescents’ peer environments.
Importantly, not all adolescents exposed to controlling parenting engage with deviant peers, suggesting the presence of intrapersonal resilience factors. Self-compassion (SC) may serve as such a factor by modulating adolescents’ cognitive and affective responses to coercive parenting [12,19]. Specifically, SC promotes adaptive self-regulation, mindful awareness of personal distress, and balanced interpersonal engagement [20,21]. Prior research has largely examined SC as a buffer against psychological distress, demonstrating its protective role in reducing depression, anxiety, and stress and in moderating associations between stressors and maladjustment [22,23]. However, less attention has been paid to the role of SC in adolescents’ social-contextual processes, particularly in shaping peer selection under conditions of family adversity.
Drawing on the Social–Ecological Diathesis–Stress model, the present study examines SC as a moderator of peer-context formation rather than solely as a buffer of adjustment outcomes. Adolescents with higher SC may interpret coercive parental behaviour less self-critically and maintain more autonomous coping strategies, which reduces the likelihood of affiliating with deviant peers despite experiencing high PPC. In contrast, adolescents lower in SC may be more vulnerable to internalizing parental rejection and may gravitate toward deviant peers as an alternative source of acceptance and identity [11,24]. Thus, rather than exerting a direct effect, SC is theorized to buffer the transmission of family risk through peer contexts.
Taken together, the present study advances a process-oriented ecological model that integrates family-level risk, peer-context mechanisms, and individual resilience within a single conditional pathway. Specifically, we test whether (a) DPA mediates the association between PPC and BV, and (b) SC moderates the pathway linking PPC to DPA. By examining these associations within an ecological framework, this study aims to clarify the conditional processes through which family risk may be associated with adolescent bullying victimization.
1.1 Parental Psychological Control and Bullying Victimization
Ecological system theory positions the family as a foundational microsystem that actively scaffolds children’s development and configures their future social-relational capacities [9]. Early interactions with parents are pivotal to adolescents’ socialization, as they rely on their parents as critical sources of self-identity and self-evaluation [25]. Therefore, adolescents’ adverse social interactions in school settings, such as victimization, are often rooted in the negative relationship dynamics they encounter in their early family life [26]. Previous studies have identified parenting as a predictor influencing the occurrence of bullying victimization through the ecological system theory framework [27,28]. Emerging as a culturally entrenched disciplinary practice in China [29], parental psychological control (PPC) manifests as a parenting approach that employs coercion and manipulation of rewards and punishment to regulate offspring conduct, cognitive schemas, and affective regulation patterns. This approach often employs guilt induction, shaming, and love withdrawal to enforce compliance, ultimately undermining autonomy and self-regulatory development [30]. Self-determination theory posits that PPC hinders adolescents’ autonomy, diminishes their self-esteem, and impedes their ability to establish a sense of control in peer relationships. These factors, in turn, make them susceptible to being dominated and manipulated [31]. When interacting with peers, children tend to mimic the interpersonal style they see in their families. Children who are exposed to family environments that are characterized by negative and excessively controlling parenting may develop acquiescent behavioural schemas. This is because they may internalize maladaptive relational schemas and emotion regulation patterns from familial interactions and then exhibit similar behaviours in peer interactions [32]. Within the developmental psychopathology framework, this trajectory significantly increases vulnerability to peer victimization among PPC-exposed individuals [26,33]. We therefore hypothesize:
Hypothesis 1: PPC is positively associated with adolescents’ BV.
1.2 Mediating Role of Deviant Peer Affiliation (DPA)
Empirical evidence confirms that dysfunctional family contexts predict heightened deviant peer affiliation (DPA) [34,35]. Furthermore, the Social-Ecological Diathesis-Stress model posits that psychosocial adversity amplifies neurocognitive vulnerabilities, resulting in more severe adverse outcomes, such as bullying victimization [8]. According to the theoretical framework of this model, PPC may trigger cognitive vulnerabilities in adolescents, which may diminish their psychological autonomy and lead to lower levels of volitional functioning and independent decision-making. Consequently, adolescents may develop a more defiant and maladaptive approach to peer relationships [15,16]. Specifically, they might be drawn to associations with peers who exhibit delinquent behaviours. This preference stems from a desire to cope with parental and peer rejection and to seek a sense of belonging that they may not find in their family or among their peers [36,37,38].
DPA refers to the behaviour of being selectively affiliated with peers who exhibit more serious behavioural problems (e.g., smoking, truancy, cheating). This affiliation pattern significantly amplifies adolescents’ vulnerability to both bullying perpetration and victimization. Previous research indicated that interaction with deviant peers may lead to increased peer victimization [11,17], some research even suggests that the association between DPA and bullying dynamics may be bidirectional—serving both as a precursor to and consequence of victimization [18]. Consistent with the process-oriented framework outlined above, the present study treats DPA as a peer-context mechanism linking family-level risk to bullying victimization. This analytic focus is consistent with ecological systems theory, which posits that family dynamics shape adolescents’ peer environments, and is supported by empirical evidence indicating that affiliation with deviant peers increases exposure to peer conflict and social marginalization [10]. Accordingly, DPA is treated as a mediator in the current model to test a theoretically specified family-to-peer-to-victimization pathway.
Hypothesis 2: DPA plays a mediating role between PPC and BV among Chinese adolescents.
1.3 Moderating Role of Self-Compassion
Although negative parenting often elevates risk of affiliation with delinquent peers, notably, a proportion of adolescents reared in such environments do not exhibit such an association with delinquent peers [12]. Individual differences among adolescents may serve as moderating variables, influencing the extent to which negative parenting predicts affiliation with deviant peers, leading to diverse outcomes. This suggests that while negative parenting can be a contributing factor, the interplay of personal and environmental factors ultimately shapes adolescents’ social affiliations and behavioural trajectories. One potential factor in this association is self-compassion (SC) [19,39,40].
SC constitutes a resilient mindset that encompasses kindness towards oneself, recognition of our shared human experiences, and maintaining mindfulness when facing adversity [20]. As a robust protective mechanism, SC buffers adolescent mental health across multiple domains [22,23]. Empirical evidence demonstrates its moderating capacity—higher SC weakens the perfectionism-depression linkage [22,41]. While enhancing stress regulation [23] and reducing depression, anxiety, and stress symptomatology [42]. Within the Social–Ecological Diathesis–Stress framework, SC may function as a protective factor that attenuates the impact of environmental stressors by enhancing adaptive coping and stress regulation [8]. Importantly, SC may be particularly relevant in buffering the peer-selection processes linking PPC to DPA. Adolescents with higher SC tend to maintain more balanced self-evaluations, tolerate interpersonal distress, and preserve autonomy in the face of relational challenges [21]. As a result, they may be less inclined to seek sense of belonging from deviant peer groups when familial relationships are psychologically controlling [12,43]. In contrast, adolescents low in SC may be more vulnerable to internalizing parental rejection and may compensate for unmet emotional needs by affiliating with deviant peers who provide a sense of acceptance [11,24]. Thus, SC is expected to moderate the association between PPC and DPA, rather than exerting a direct influence on bullying victimization. On the basis of the reasoning and evidence in the literature, we propose the hypothesis below:
Hypothesis 3: SC moderates the association between PPC and DPA, such that higher levels of SC weaken the positive association between PPC and DPA, thereby indirectly attenuating adolescents’ BV.
Guided by the above framework, the present study tests a moderated mediation model in which PPC is linked to BV through DPA, with SC moderating the PPC–DPA pathway (Fig. 1). This model allows us to examine whether and under what conditions family-level risk is translated into peer victimization during adolescence.
Figure 1: Structural equation model of overall associations of parental psychological control and bullying victimization. Note: PPC, parental psychological control; DPA, deviant peer affiliation; BV, bullying victimization; SC, self-compassion. Hypothesis 1: PPC is positively associated with adolescents’ BV. Hypothesis 2: DPA plays a mediating role between PPC and BV among Chinese adolescents. Hypothesis 3: SC moderates the association between PPC and DPA, such that higher levels of’ SC weaken the positive association between PPC and DPA, thereby indirectly attenuating adolescents’ BV.
Participants were recruited via convenience sampling from two middle schools in Shanxi Province, China. A total of 962 participants (Mean = 14.08, SD = 1.07; 49.83% male) was recruited, and 101 participants were excluded due to inattentive responses or having more than 20% missing data. The efficiency rate of the data was 89.5%.
The study received formal authorization from the principals of the school and the parents of the participants. We collected data from the students at two randomly selected middle schools in Lvliang city, Shanxi Province, between 10 and 20 April 2025. After the principals approved the study, students and parents received information packets with consent forms. With the consent of the parents, the survey was conducted during each class meeting. Students who fulfilled the specified criteria and provided informed consent were given paper questionnaires; then, the completed questionnaires were collected directly by the researcher. PPC was assessed using the Chinese Psychological Control Scale (measuring perceived maternal/paternal control), DPA with the Deviant Peer Affiliation Scale, BV via the Bullying Victimization Scale, and SC with the Self-Compassion Scale. This study was approved by the Ethics Committee of the Faculty of Psychology, Beijing Normal University (No. BNU202503110083).
2.3.1 Parental Psychological Control
The Chinese Psychological Control Scale was included to measure participants’ perceived PPC in this study [44]. The scale is composed of two subscales and 20 items. Each subscale consists of 10 questions divided into five dimensions: feelings of neglect (2 items), expression restriction (1 item), personal attack (2 items), withdrawal of love (3 items), and excessive interference (2 items). The scale adopted a 4-point Likert scale, with 1 being “completely disagree” and 4 being “strongly agree”. Consequently, elevated sum scores on the scale were associated with elevated levels of perceived PPC (Cronbach’s α = 0.924).
The measurement of self-compassion was conducted using the Self-Compassion Scale [20], which comprises 26 items divided into six dimensions: self-kindness (5 items), mindfulness (4 items), common humanity (4 items), self-judgement (5 items), over-identification (4 items), and isolation (4 items). The items were evaluated using a 5-point Likert scale: from 1 (“almost never”) to 5 (“almost always”). Among the dimensions mentioned above, the latter three were reverse-scored. Higher total scores suggested elevated levels of SC (Cronbach’s α = 0.878).
2.3.3 Deviant Peer Affiliation
DPA was measured via the Deviant Peer Affiliation Scale [45]. Eight items were included in this scale, and each of which was evaluated utilizing a 5-point Likert scale ranging from 1 (“no one”) to 5 (“everyone”). Higher sum scores suggested a heightened probability of deviant peer affiliation (Cronbach’s α = 0.727). The reliability of this scale is relatively modest, which is acceptable [46].
BV was assessed utilizing the culturally adapted Chinese Delaware Bullying Victimization Scale–Student [47]. Given China’s educational situation and the limited accessibility of electronic devices among middle school students, we omitted cyberbullying items (4 items) from the original scale. The 13-item revised scale consists of four items each for verbal bullying, physical bullying, and relational bullying, as well as one nondimensional scored item, Item 13, “I’m bullied at this school”, capturing overall victimization perception. Responses used a 6-point Likert scale (1 = never, 6 = every day), with higher total scores indicating greater BV frequency (Cronbach’s α = 0.865). In line with established bullying research emphasizing repetition as a defining feature [48], participants reporting a frequency of 3 (“once or twice a month”) or higher were classified as victims. This criterion reflects repeated victimization rather than occasional exposure.
Prior to data collection, a Monte Carlo power analysis was conducted in Mplus 8.3 (Muthén & Muthén, Los Angeles, CA, USA) to estimate the required sample size for the hypothesized moderated mediation model. Based on parameter values drawn from prior literature, the simulation indicated that a sample size of approximately 200 participants was sufficient to achieve 80% power for detecting the indirect and interaction effects [49]. The final sample size (N = 861) exceeded this requirement, indicating adequate statistical power for the analyses. Missing data were imputed using the expectation-maximization (EM) algorithm.
Descriptive statistics, demographic correlations (sex, age), and bivariate associations were computed in SPSS 27.0 (IBM Corp., Armonk, NY, USA). Structural equation modelling (SEM) in Mplus 8.3 tested direct and mediated pathways linking PPC and DPA to BV. In mediated SEM, the measurement model (Model 1) had one latent variable (parental psychological control, PPC), two observed variables (deviant peer affiliation, DPA, and self-compassion, SC), and two covariates (age and sex). The main effects of PPC and DPA were subsequently introduced into the model (Model 2). Finally, latent moderated structural equations (LMS) tested SC’s moderating role in the DPA pathway (Model 3) (LMSs, Model 3). Model adequacy was evaluated using a three-step comparative procedure [50].
SEM Model fit was assessed by the comparative fit index (CFI), Tucker-Lewis index (TLI), root mean squared error of approximation (RMSEA), and standardized root mean square residual (SRMR). Consistent with prevailing guidelines, acceptable fit required: CFI/TLI > 0.90, RMSEA < 0.10, and SRMR ≤ 0.08. The significance of the indirect effect of DPA was determined through the bootstrapping method, employing a sample size of 5000 and establishing a 95% confidence interval (CI), which was significant if the 95% CI did not cover 0. The relative fitness of the LMS was evaluated based on the Akaike information criterion (AIC) and log-likelihood ratio (LR) test. Comparing the above information of Model 2 and Model 3 revealed that the decrease in the AIC value and the significance of the l LR test could demonstrate the superiority of Model 3 over Model 2 [51,52].
Furthermore, the bootstrapping method [53] was employed to examine the significance of the moderated mediation effect with a sample size of 5000 and a 95% CI, with effects significant when 95% CIs excluded zero.
Based on the repetition-based criterion (≥3), 59 participants (6.85%) reported repeated verbal victimization (Mean = 1.57, SD = 0.78), 13 participants (1.51%) reported repeated physical victimization (Mean = 1.23, SD = 0.46), and 22 participants (2.55%) reported repeated relational victimization (Mean = 1.29, SD = 0.54). Using the global item (item 13), 1.4% of adolescents reported being bullied at least once or twice per month. Table 1 reports descriptive statistics (means, standard deviations) and Spearman’s rank-order correlations for all study variables. The findings indicated a positive association between PPC and DPA, as well as between PPC and BV, whereas a negative association was observed between PPC and SC.
Table 1: Descriptive statistics and correlation matrix of all the variables (N = 861).
| Variable | Mean | SD | 1 | 2 | 3 | 4 | 5 | |
|---|---|---|---|---|---|---|---|---|
| 1 | Age | 14.08 | 1.07 | |||||
| 2 | Sex | 0.50 | 0.50 | 0.04 | ||||
| 3 | Parental psychological control | 1.51 | 0.47 | 0.11** | 0.03 | |||
| 4 | Self-compassion | 3.34 | 0.62 | −0.30** | 0.06 | −0.36** | ||
| 5 | Deviant peer affiliation | 1.20 | 0.31 | 0.36** | 0.09* | 0.17** | −0.31** | |
| 6 | Bullying victimization | 1.36 | 0.51 | 0.19** | −0.09** | 0.27** | −0.44** | 0.36** |
Table 2 presents the standardized path estimates for both the mediation model (SEM) and the fully moderated mediation model (LMS). Model fit indices for the measurement and structural models are reported below. Model 1 included only the measurement model, which exhibited an optimal fit, as indicated by the fit index: χ2(19) = 87.87, CFI = 0.98, TLI = 0.97, RMSEA = 0.07 (95% CI [0.05, 0.08]). The direct effect of PPC on BV was incorporated into Model 2, along with the mediating effect of DPA. The fit of Model 2 also met the criterion: χ2(37) = 189.71, CFI = 0.95, TLI = 0.93, RMSEA = 0.07 (95% CI [0.06, 0.08]). As shown in the SEM results in Table 2, PPC is positively associated with BV both directly (β = 0.268, p < 0.001) and indirectly by relating to DPA (β = 0.043, p < 0.01, 95% CI [0.014, 0.072]), with the indirect effect accounting for 13.83% of the total effect.
Table 2: Results of the SEM and LMS models.
| Variables and Estimated Effects | Model Type | PPC | DPA | BV | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| β | SE | 95% CI | β | SE | 95% CI | β | SE | 95% CI | ||
| Age | SEM Results | 0.036* | 0.018 | 0.005, 0.150 | 0.094*** | 0.011 | 0.073, 0.116 | −0.023 | 0.024 | −0.114, 0.038 |
| Sex | 0.045 | 0.037 | −0.027, 0.118 | 0.036 | 0.020 | −0.003, 0.076 | 0.118* | 0.047 | −0.003, 0.262 | |
| PPC | / | / | / | 0.077** | 0.023 | 0.032, 0.122 | 0.268*** | 0.059 | 0.124, 0.288 | |
| DPA | / | / | / | / | / | / | 0.577*** | 0.097 | 0.367, 0.748 | |
| Indirect Effect to BV | 0.043** | 0.015 | 0.014, 0.072 | / | / | / | / | / | / | |
| Age | LMS Results | 0.041* | 0.020 | 0.000, 0.083 | 0.080*** | 0.011 | 0.058, 0.101 | −0.024 | 0.024 | −0.072, 0.023 |
| Sex | 0.046 | 0.037 | −0.028, 0.117 | 0.050* | 0.019 | 0.012, 0.089 | 0.118* | 0.047 | 0.024, 0.207 | |
| PPC | / | / | / | 0.289* | 0.133 | 0.058, 0.578 | 0.267*** | 0.059 | 0.158, 0.388 | |
| DPA | / | / | / | / | / | / | 0.560*** | 0.097 | 0.383, 0.764 | |
| SC | / | / | / | −0.050 | 0.033 | −0.099, 0.045 | / | / | / | |
| PPC × SC | / | / | / | −0.077* | 0.038 | −0.159, −0.011 | / | / | / | |
To examine whether self-compassion (SC) moderates the association between parental psychological control (PPC) and deviant peer affiliation (DPA), we estimated a latent moderated structural model (Model 3) by adding the PPC × SC interaction term to Model 2 (the mediation model). Model comparison using the log-likelihood ratio (LR) test indicated that Model 3 provided a significantly better fit than Model 2, LR (df = 2) = 8.57, p < 0.05, supporting the inclusion of the interaction term.
As shown in Table 2, the latent interaction between PPC and SC was significantly associated with DPA (β = −0.077, SE = 0.038, 95% CI [−0.159, −0.011]), indicating that higher levels of SC attenuated the positive association between PPC and DPA.
To reveal the mechanisms by which SC moderates the effect of PPC on DPA, a simple slope analysis was performed (see Fig. 2). Results confirmed that at low levels of SC (−1 SD), PPC is significantly associated with DPA (b = 0.079, t = 2.244, p = 0.04 < 0.05), with a 95% CI of [0.014, 0.152]; Conversely, at high SC (+1 SD), PPC’s predictive effect became non-significant (b = −0.017, t = −0.620, p = 0.535), with a 95% CI of [−0.073, 0.034]. These findings indicated the mitigation of the adverse impacts of PPC on DPA by SC.
We further examined whether the indirect effect of PPC on BV via DPA was conditional on levels of SC by testing a moderated mediation model using bootstrapping procedures with 5000 resamples. Results indicated that the conditional indirect effect was significant at low levels of SC (−1 SD; β = 0.044, 95% CI [0.009, 0.093]), but became non-significant at mean and high levels of SC. Moreover, the index of moderated mediation was significant (β = −0.043, 95% CI [−0.097, −0.007]), providing formal evidence that SC moderated the indirect effect of PPC on BV through DPA.
Figure 2: Interactive effect of parental psychological control (PPC) and self-compassion (SC) on deviant peer affiliation.
Rather than solely referring to the statistical findings, the present discussion focuses on interpreting the observed associations within an integrated theoretical framework. Drawing on ecological systems theory [9] and the Social–Ecological Diathesis–Stress model [8], the findings are interpreted as reflecting how family-level risks, peer-context processes, and individual psychological resources jointly shape adolescents’ vulnerability to bullying victimization. Consistent with prior research, PPC was positively associated with BV [26,33,54,55]. Importantly, from an ecological systems perspective, the findings highlight how family-level processes may become embedded within adolescents’ broader social ecologies. Ecological systems theory emphasizes that more distal contexts (e.g., family dynamics) influence development primarily through their impact on more proximal interactional settings [9]. In this sense, PPC may shape adolescents’ emotional and interpersonal functioning in ways (e.g., by invalidating children’s emotional experiences) [30] that become salient (e.g., being perceived as vulnerable by peers) within peer environments, where bullying victimization actually occurs [56,57]. The present findings therefore align with ecological assumptions by suggesting that parenting practices are relevant to victimization, not because they serve as a direct trigger for bullying, but because they shape adolescents’ cognitive processes when selecting peers.
Importantly, although the standardized effects observed in the present study were in the small-to-moderate range (e.g., β = 0.27 for the direct PPC–BV association; β = 0.29 for PPC–DPA; β = 0.56 for DPA–BV), these magnitudes are broadly consistent with prior meta-analytic findings indicating that parenting and peer-related predictors of bullying involvement are typically modest in size [58,59]. From a developmental and ecological perspective, however, even small-to-moderate effects may carry meaningful practical significance, particularly when risk factors accumulate over time or operate across multiple contextual systems [60,61]. Given the high prevalence and long-term consequences of bullying victimization, incremental increases in risk associated with family and peer processes may therefore translate into meaningful population-level impact.
The mediating role of deviant peer affiliation (DPA) further clarifies this ecological process. Although the association between PPC, DPA, and BV has been examined in prior studies, the current findings contribute by situating DPA explicitly as a proximal peer-context mechanism linking family risk to victimization experiences. From a social–ecological diathesis–stress perspective, PPC may be conceptualized as a distal vulnerability factor that interacts with proximal influencing factors (peer contexts) to heighten adolescents’ exposure to interpersonal stressors [8]. Our findings provide evidence that maladaptive parent‒child relationships predispose adolescents to delinquent peer affiliations [34,35]. While this pathway is largely confirmatory, replication within a Chinese adolescent sample strengthens confidence in the cross-cultural relevance of peer-mediated pathways linking family processes to bullying experiences.
One possible explanation is that an absence of love and care in familial environments may render adolescents more prone to seeking intimacy from peer relationships [30,62]. In accordance with social network theory, there are two possible pathways through which PPC shapes adolescent peer network dynamics [63]. The first mechanism, “homophily selection”, involves proactive affiliation with peers exhibiting congruent psychosocial profiles. Adolescents exposed to elevated PPC demonstrate heightened psychosocial maladjustment patterns along the internalizing–externalizing spectrum [32,64,65]. Consequently, they may actively seek peers with shared behavioural profiles through similarity-based selection [63]. Moreover, when relational competence deficits from coercive family dynamics restrict access to prosocial peer networks, adolescents may gravitate toward delinquent peers—a process termed “default selection” due to limited alternatives. Grounded in social learning theory, chronic exposure to PPC impedes the acquisition of prosocial behavioural repertoires essential for maintaining adaptive peer relationships; consequently, adolescents exposed to PPC may experience marginalization within normative peer groups. Such relational exclusion systematically predisposes adolescents to the spontaneous formation of nonconforming affiliations [66]. In summary, they exhibit a greater propensity to affiliate with deviant and delinquent cohorts to gain a sense of belonging and self-worth [36,37].
Third, the moderation by SC represents one of the most theoretically informative aspects of the present study. Rather than functioning as a general protective factor across all adolescents, SC emerged as a conditional resilience resource that weakened the association between PPC and DPA. This pattern refines diathesis–stress assumptions by demonstrating that vulnerability processes are not uniform, but depend on individual-level regulatory capacities. Within the diathesis–stress framework [8], PPC and DPA can be understood as risk-related conditions, whereas SC operates as an intrapersonal resource that alters how adolescents respond to interpersonal stress and maintain healthy interpersonal connections. First, adolescents with higher levels of SC may be better able to maintain balanced self-evaluations [67], regulate negative affect [68], and avoid excessive self-blame [20,69] in response to controlling parenting experiences. These regulatory capacities may, in turn, reduce the tendency to seek affirmation or belonging through maladaptive peer affiliations. Second, SC is a crucial element in fostering positive and healthy interpersonal connections [21]. It facilitates the harmonious integration of autonomy and intimacy, allowing more self-compassionate adolescents to possess the fundamental social competencies necessary to sustain typical peer relationships, which fosters a sense of belonging. Consequently, they are less prone to forming deviant peer connections.
At the same time, the findings suggest that SC is not universally protective. Its buffering role appears most relevant under conditions of elevated familial risk (e.g., controlling parenting), highlighting the importance of considering when and for whom individual strengths are most consequential. This nuanced pattern extends prior work by positioning SC not merely as a correlate of adjustment, but as a contextual moderator within family–peer risk processes. However, it is also important to acknowledge that, from a social–ecological and diathesis–stress perspective [8], under conditions of chronic or severe psychological control, or when adolescents are embedded in highly entrenched deviant peer environments, individual self-regulatory resources such as SC may be insufficient on their own to fully offset accumulated risk.
Several limitations warrant acknowledgment. First, the cross-sectional approach prevents definitive causal claims about observed relationships, while unmeasured variables may drive effects. Additionally, there may be a range of alternative models that could account for the observed outcomes. Future work should prioritize longitudinal or experimental designs to disambiguate the directionality and mechanisms underlying these phenomena. Second, the self-report method used for all the scales in this study may bias the results, although a common method bias test was conducted. According to Barber and Xia [70], subjective reports of PPC tend to mirror adolescents’ interpretations of their relationship with their parents. However, such interpretations may be susceptible to personal biases, emotional states, and developmental stages, which may result in discrepancies between the perceived and actual levels of PPC. Moreover, self-report surveys are susceptible to social desirability bias. Podsakoff et al. discovered that participants frequently adjust their responses in alignment with social norms, particularly in studies on sensitive topics such as peer relationships and parental behaviours [71]. To ensure the replicability of our results, future research should adopt multi-informant approaches (e.g., teacher/parent/peer reports) to mitigate single-reporter bias. Third, the present study focused exclusively on traditional forms of bullying victimization and did not include measures of cyberbullying victimization. Although cyberbullying frequently co-occurs with traditional bullying and may share overlapping family-related and peer-related risk mechanisms [72,73], its exclusion was informed by both measurement considerations and contextual factors. Specifically, the sample consisted of early and middle adolescents from public middle and high schools in mainland China, where school policies and educational regulations typically restrict students’ access to smartphones during school days. As a result, opportunities for cyberbullying exposure in daily school contexts may be relatively limited for this population. Nevertheless, by omitting cyberbullying items, the present study captures only a partial representation of adolescents’ victimization experiences. Future research should incorporate both traditional and cyber forms of bullying to more comprehensively examine the interplay between parental psychological control, peer processes, and adolescent victimization across contexts. Fourth, the reliance on the Chinese early adolescents from two Shanxi middle schools necessitates caution regarding generalizability across cultural contexts, regions, or developmental stages due to the convenience sampling method. Replication in more diverse samples is warranted.
The findings offer several tentative implications that should be interpreted cautiously, given the cross-sectional design. First, the observed associations between PPC, DPA, and BV highlight the potential relevance of parenting practices for adolescents’ peer experiences. Parenting education efforts that emphasize autonomy-supportive communication and emotional validation may be promising avenues for future intervention-oriented research, particularly for families characterized by higher levels of psychological control.
Second, the identification of DPA as a proximal correlate of BV underscores how affiliations with high-risk peers are associated with BV. Programs aimed at strengthening adolescents’ social competencies and facilitating engagement with prosocial peer networks may help reduce exposure to high-risk peer contexts. However, longitudinal and experimental studies are necessary to determine whether modifying peer affiliation patterns leads to reductions in BV.
Third, the conditional buffering role of SC suggests that individual psychological resources may shape how adolescents navigate family- and peer-related stressors. Importantly, self-compassion appeared to be most relevant under conditions of elevated familial risk, rather than functioning as a universal protective factor. School- or community-based programs designed to cultivate self-compassion (e.g., mindfulness-based approaches) [74], may therefore warrant further investigation as complementary strategies within broader prevention frameworks, rather than as standalone interventions.
This study identified significant associations between PPC and adolescent BV, with DPA statistically accounting for part of this association. SC was found to moderate the PPC–DPA link, such that the association was weaker among adolescents reporting higher levels of self-compassion. These findings highlight the interplay between familial factors, peer affiliations, and individual psychological resources within adolescents’ social ecologies. Accordingly, cultivating self-compassion may represent a promising area for future longitudinal and intervention-based research examining protective processes within adolescent peer ecologies. This insight can help parents, educators, and counsellors develop better strategies to support teens facing family stress and peer challenges, ultimately creating safer and more supportive social environments.
Acknowledgement:
Funding Statement: This work was supported by the Guangdong Provincial Department of Education (2023WTSCX109), the Guangdong Province Philosophy and Social Sciences Planning Project (GD25YXL11), and the Special Fund for Higher Education of Guangdong Province Education Science Planning Project (2025GXJK0594).
Author Contributions: Conceptualization, Ling Sun, Jinyang Yuan; Formal analysis, Jinyang Yuan; Investigation, Ququ Li; Resources, Ququ Li and Ling Sun; Writing—original draft preparation, Jinyang Yuan; Writing—review & editing, Jinyang Yuan, Zewen Wu, Ling Sun; Supervision, Ling Sun; Project administration, Ququ Li and Ling Sun; Funding acquisition, Ling Sun. All authors reviewed and approved the final version of the manuscript.
Availability of Data and Materials: The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Ethics Approval: This study was reviewed and approved by the Ethics Committee of the Faculty of Psychology, Beijing Normal University (No. BNU202503110083). Informed consent was obtained from all participants’ parents/guardians and school authorities prior to the study.
Conflicts of Interest: The authors declare no conflicts of interest.
References
1. Smith PK . Bullying: Definition, types, causes, consequences and intervention. Soc Pers Psychol Compass. 2016; 10( 9): 519– 32. doi:10.1111/spc3.12266. [Google Scholar] [CrossRef]
2. Ariani TA , Putri AR , Firdausi FA , Aini N . Global prevalence and psychological impact of bullying among children and adolescents: a meta-analysis. J Affect Disord. 2025; 385: 119446. doi:10.1016/j.jad.2025.119446. [Google Scholar] [CrossRef]
3. Kiing J , Ragen E , Sulaiman M , Goh W , Tan N , Ng S , et al. Bullying and depression among adolescents in East Asia: A scoping review on prevalence rates, risk and protective factors. Front Psychiatry. 2025; 16: 1497866. doi:10.3389/fpsyt.2025.1497866. [Google Scholar] [CrossRef]
4. Lee J . Pathways from childhood bullying victimization to young adult depressive and anxiety symptoms. Child Psychiatry Hum Dev. 2021; 52( 1): 129– 40. doi:10.1007/s10578-020-00997-4. [Google Scholar] [CrossRef]
5. Moore S , Norman R , Suetani S , Thomas H , Sly P , Scott J . Consequences of bullying victimization in childhood and adolescence: A systematic review and meta-analysis. World J Psychiatry. 2017; 7( 1): 60– 76. doi:10.5498/wjp.v7.i1.60. [Google Scholar] [CrossRef]
6. Walters GD , Espelage DL . From victim to victimizer: Hostility, anger, and depression as mediators of the bullying victimization–bullying perpetration association. J Sch Psychol. 2018; 68: 73– 83. doi:10.1016/j.jsp.2017.12.003. [Google Scholar] [CrossRef]
7. Klomek AB , Sourander A , Elonheimo H . Bullying by peers in childhood and effects on psychopathology, suicidality, and criminality in adulthood. Lancet Psychiatry. 2015; 2( 10): 930– 41. doi:10.1016/S2215-0366(15)00223-0. [Google Scholar] [CrossRef]
8. Swearer SM , Hymel S . Understanding the psychology of bullying: Moving toward a social-ecological diathesis–stress model. Am Psychol. 2015; 70( 4): 344– 53. doi:10.1037/a0038929. [Google Scholar] [CrossRef]
9. Bronfenbrenner U . Ecology of the family as a context for human development: Research perspectives. Dev Psychol. 1986; 22( 6): 723– 42. doi:10.1037/0012-1649.22.6.723. [Google Scholar] [CrossRef]
10. Chen X , Li L , Lv G , Li H . Parental behavioral control and bullying and victimization of rural adolescents in China: The roles of deviant peer affiliation and gender. Int J Environ Res Public Health. 2021; 18( 9): 4816. doi:10.3390/ijerph18094816. [Google Scholar] [CrossRef]
11. Hong JS , Kim DH , Piquero AR . Assessing the links between punitive parenting, peer deviance, social isolation and bullying perpetration and victimization in South Korean adolescents. Child Abus Negl. 2017; 73: 63– 70. doi:10.1016/j.chiabu.2017.09.017. [Google Scholar] [CrossRef]
12. Wang Q , Luo X , Hu W , Tu R , Zhao F . Psychological Maltreatment and Adolescent Internet Harassment Perpetration: The Mediating Role of Deviant Peer Affiliation and the Moderating Role of Self-compassion. Child Abus Negl. 2023; 135: 105947. doi:10.1016/j.chiabu.2022.105947. [Google Scholar] [CrossRef]
13. Wang X , Tian F , Wang P . Childhood psychological maltreatment predicts adolescents’ bullying victimization: Deviant peer affiliation and teacher-student relationships as moderators. Child Youth Serv Rev. 2024; 163: 107814. doi:10.1016/j.childyouth.2024.107814. [Google Scholar] [CrossRef]
14. Xiao N , Zhou H , Liu Y , Qiu F , Zhang Y , Xiao H , et al. Father/Mother Psychological Control and Problematic Gaming Among Chinese Adolescents: The Mediating Effect of Deviant Peer Affiliation and the Moderating Effect of Control Orientation. Deviant Behav. 2025: 1– 14. doi:10.1080/01639625.2025.2569520. [Google Scholar] [CrossRef]
15. Van Petegem S , Zimmer-Gembeck M , Baudat S , Soenens B , Vansteenkiste M , Zimmermann G . Adolescents’ responses to parental regulation: The role of communication style and self-determination. J Appl Dev Psychol. 2019; 65: 101073. doi:10.1016/j.appdev.2019.101073. [Google Scholar] [CrossRef]
16. Xiang S , Liu Y . Understanding the joint effects of perceived parental psychological control and insecure attachment styles: A differentiated approach to adolescent autonomy. Pers Individ Dif. 2018; 126: 12– 8. doi:10.1016/j.paid.2018.01.009. [Google Scholar] [CrossRef]
17. Cho S . The impact of low self-control and delinquent peer associations on bullying perpetration and victimization among South Korean adolescents: Time-concurrent, time-lagged, and latent growth curve modeling. J Sch Violence. 2018; 17( 4): 500– 20. doi:10.1080/15388220.2018.1453821. [Google Scholar] [CrossRef]
18. Hodges E , Boivin M , Vitaro F , Bukowski W . The Power of Friendship: Protection Against an Escalating Cycle of Peer Victimization. Dev Psychol. 1999; 35( 1): 94– 101. doi:10.1037/0012-1649.35.1.94. [Google Scholar] [CrossRef]
19. Ren Y , Zhang S , Huang C , Zhang J , Jiang T , Fang Y . Perceived parental rearing styles and depression in Chinese adolescents: The mediating role of self-compassion. Front Psychiatry. 2024; 15. doi:10.3389/fpsyt.2024.1417355. [Google Scholar] [CrossRef]
20. Neff KD . The development and validation of a scale to measure self-compassion. Self Identity. 2003; 2( 3): 223– 50. doi:10.1080/15298860309027. [Google Scholar] [CrossRef]
21. Neff KD , Beretvas SN . The role of self-compassion in romantic relationships. Self Identity. 2013; 12( 1): 78– 98. doi:10.1080/15298868.2011.639548. [Google Scholar] [CrossRef]
22. Ferrari M , Yap K , Scott N , Einstein DA , Ciarrochi J . Self-compassion moderates the perfectionism and depression link in both adolescence and adulthood. PloS One. 2018; 13( 2): e0192022. doi:10.1371/journal.pone.0192022. [Google Scholar] [CrossRef]
23. Vigna AJ , Poehlmann-Tynan J , Koenig BW . Does self-compassion covary with minority stress? Examining group differences at the intersection of marginalized identities. Self Identity. 2018; 17( 6): 687– 709. doi:10.1080/15298868.2018.1457566. [Google Scholar] [CrossRef]
24. Wang Z , Liu C , Li T , Zhao F . Paternal parenting and depressive symptoms among adolescents: A moderated mediation model of deviant peer affiliation and school climate. Child Youth Serv Rev. 2020; 119: 105630. doi:10.1016/j.childyouth.2020.105630. [Google Scholar] [CrossRef]
25. Zhao M , Ford T , Panayiotou M , Karl A . Developmental pathways of depressive symptoms via parenting, self-evaluation and peer relationships in young people from 3 to 17 years old: evidence from ALSPAC. Soc Psychiatry Psychiatr Epidemiol. 2023; 58( 6): 907– 17. doi:10.1007/s00127-022-02416-6. [Google Scholar] [CrossRef]
26. Ren P , Yang L , Chen C , Luo F . Parental control and adolescents’ bullying victimization: The moderating role of teacher support. Curr Psychol. 2023; 42( 32): 27952– 64. doi:10.1007/s12144-022-03864-8. [Google Scholar] [CrossRef]
27. Chu X , Chen Z . The associations between parenting and bullying among children and adolescents: A systematic review and meta-analysis. J Youth Adolesc. 2025; 54( 4): 928– 54. doi:10.1007/s10964-024-02108-1. [Google Scholar] [CrossRef]
28. Grama DI , Georgescu RD , Coşa IM , Dobrean A . Parental Risk and Protective Factors Associated with Bullying Victimization in Children and Adolescents: A Systematic Review and Meta-analysis. Clin Child Fam Psychol Rev. 2024; 27( 3): 627– 57. doi:10.1007/s10567-024-00473-8. [Google Scholar] [CrossRef]
29. Ng FF , Pomerantz EM , Deng C . Why are Chinese mothers more controlling than American mothers? “My child is my report card”. Child Dev. 2014; 85( 1): 355– 69. doi:10.1111/cdev.12102. [Google Scholar] [CrossRef]
30. Barber BK , Harmon EL . Violating the self: Parental psychological control of children and adolescents. In: Intrusive parenting: How psychological control affects children and adolescents. Washington, DC, USA: American Psychological Association; 2002. p. 15– 52. doi:10.1037/10422-002. [Google Scholar] [CrossRef]
31. Ryan RM , Deci EL . Self-determination theory: basic psychological needs in motivation, development, and wellness. New York, NY, USA: The Guilford Press; 2017. doi:10.1521/978.14625/28806. [Google Scholar] [CrossRef]
32. Soenens B , Park S-Y , Vansteenkiste M , Mouratidis A . Perceived parental psychological control and adolescent depressive experiences: A cross-cultural study with Belgian and South-Korean adolescents. J Adolesc. 2012; 35( 2): 261– 72. doi:10.1016/j.adolescence.2011.05.001. [Google Scholar] [CrossRef]
33. Wong TKY , Konishi C . The interplay of perceived parenting practices and bullying victimization among Hong Kong adolescents. J Soc Pers Relatsh. 2021; 38( 2): 668– 89. doi:10.1177/0265407520969907. [Google Scholar] [CrossRef]
34. Yoon D , Yoon S , Yoon M , Snyder SM . Developmental trajectories of deviant peer affiliation in adolescence: Associations with types of child maltreatment and substance use. Child Youth Serv Rev. 2019; 105: 104446. doi:10.1016/j.childyouth.2019.104446. [Google Scholar] [CrossRef]
35. Li M , Chen J , Li X , Deater-Deckard K . Moderation of harsh parenting on genetic and environmental contributions to child and adolescent deviant peer affiliation: A longitudinal twin study. J Youth Adolesc. 2015; 44( 7): 1396– 412. doi:10.1007/s10964-015-0288-y. [Google Scholar] [CrossRef]
36. Lansford JE , Dodge KA , Fontaine RG , Bates JE , Pettit GS . Peer rejection, affiliation with deviant peers, delinquency, and risky sexual behavior. J Youth Adolesc. 2014; 43( 10): 1742– 51. doi:10.1007/s10964-014-0175-y. [Google Scholar] [CrossRef]
37. Li S , Zhao F , Yu G . Childhood emotional abuse and depression among adolescents: Roles of deviant peer affiliation and gender. J Interpers Violence. 2022; 37( 1–2): NP830– 50. doi:10.1177/0886260520918586. [Google Scholar] [CrossRef]
38. Yoon D , Snyder SM , Yoon S . Child maltreatment types and adolescent substance use: The role of deviant peer affiliation. Child Fam Soc Work. 2020; 25( 2): 355– 63. doi:10.1111/cfs.12691. [Google Scholar] [CrossRef]
39. Liu X , Cui L , Yang Y . The Developmental Trajectory of Chinese Adolescents’ Self-Compassion and its Relationship with Parenting Styles: a Longitudinal Study. J Youth Adolesc. 2025; 54: 665– 81. doi:10.1007/s10964-024-02087-3. [Google Scholar] [CrossRef]
40. Zhang R , Zhang X , Yang M , Zhang H . Self-Compassion Moderates the Effect of Contingent Self-Esteem on Well-Being: Evidence from Cross-Sectional Survey and Experiment. Int J Ment Health Promot. 2024; 26: 117– 26. doi:10.32604/ijmhp.2023.045819. [Google Scholar] [CrossRef]
41. Adams V , Howell J , Egan SJ . Self-compassion as a moderator between clinical perfectionism and psychological distress. Aust Psychol. 2023; 58: 31– 40. doi:10.1080/00050067.2022.2125281. [Google Scholar] [CrossRef]
42. Xue S , Gu Q , Zhu K , Jiang J . Self-compassion buffers the impact of learned helplessness on adverse mental health during COVID-19 lockdown. J Affect Disord. 2023; 327: 285– 91. doi:10.1016/j.jad.2023.01.099. [Google Scholar] [CrossRef]
43. Ewert C , Vater A , Schröder-Abé M . Self-Compassion and Coping: A Meta-Analysis. Mindfulness. 2021; 12( 5): 1063– 77. doi:10.1007/s12671-020-01563-8. [Google Scholar] [CrossRef]
44. Shek D . Assessment of perceived parental psychological control in Chinese adolescents in Hong Kong. Res Soc Work Pract. 2006; 16( 4): 382– 91. doi:10.1177/1049731506286231. [Google Scholar] [CrossRef]
45. Li D , Li X , Wang Y , Zhao L , Bao Z , Wen F . School connectedness and problematic internet use in adolescents: A moderated mediation model of deviant peer affiliation and self-control. J Abnorm Child Psychol. 2013; 41( 8): 1231– 42. doi:10.1007/s10802-013-9761-9. [Google Scholar] [CrossRef]
46. Taber KS . The use of Cronbach’s alpha when developing and reporting research instruments in science education. Res Sci Educ. 2018; 48( 6): 1273– 96. doi:10.1007/s11165-016-9602-2. [Google Scholar] [CrossRef]
47. Xie J , Wei Y , Bear G . Revision of Chinese Version of Delaware Bullying Victimization Scale–student in adolescents. Chin J Clin Psychol. 2018; 26( 2): 259– 63. [Google Scholar]
48. Solberg ME , Olweus D . Prevalence estimation of school bullying with the Olweus Bully/Victim Questionnaire. Aggress Behav. 2003; 29: 239– 68. doi:10.1002/ab.10047. [Google Scholar] [CrossRef]
49. Muthén LK , Muthén BO . How to Use a Monte Carlo Study to Decide on Sample Size and Determine Power. Struct Equ Model. 2002; 9( 4): 599– 620. doi:10.1207/S15328007SEM0904_8. [Google Scholar] [CrossRef]
50. Fang J , Wen Z . The analyses of moderated mediation effects based on structural equation modeling. J Psychol Sci. 2018; 41: 453– 8. [Google Scholar]
51. Maslowsky J , Jager J , Hemken D . Estimating and interpreting latent variable interactions: A tutorial for applying the latent moderated structural equations method. Int J Behav Dev. 2015; 39( 1): 87– 96. doi:10.1177/0165025414552301. [Google Scholar] [CrossRef]
52. Sardeshmukh SR , Vandenberg RJ . Integrating moderation and mediation: A structural equation modeling approach. Organ Res Methods. 2017; 20( 4): 721– 45. doi:10.1177/1094428115621609. [Google Scholar] [CrossRef]
53. Hayes AF . Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York, NY, USA: Guilford Press; 2013. [Google Scholar]
54. Wu W , Ding W , Xie R , Tan D , Wang D , Sun B , et al. Bidirectional longitudinal relationships between maternal psychological control and bullying/victimization among father-absent left-behind children in China. J Interpers Violence. 2022; 37( 17–18): NP15925– 43. doi:10.1177/08862605211022062. [Google Scholar] [CrossRef]
55. Yu L , Li X , Hu Q , Guo Z , Hong D , Huang Y , et al. School bullying and its risk and protective factors in Chinese early adolescents: A latent transition analysis. Aggress Behav. 2023; 49( 4): 345– 58. doi:10.1002/ab.22080. [Google Scholar] [CrossRef]
56. Dickson DJ , Laursen B , Valdes O , Stattin H . Derisive Parenting Fosters Dysregulated Anger in Adolescent Children and Subsequent Difficulties with Peers. J Youth Adolesc. 2019; 48( 8): 1567– 79. doi:10.1007/s10964-019-01040-z. [Google Scholar] [CrossRef]
57. Hemphill SA , Tollit M , Kotevski A , Heerde JA . Predictors of traditional and cyber-bullying victimization: A longitudinal study of Australian secondary school students. J Interpers Violence. 2015; 30( 15): 2567– 90. doi:10.1177/0886260514553636. [Google Scholar] [CrossRef]
58. Yoon D , Yoon S , Pei F , Ploss A . The roles of child maltreatment types and peer relationships on behavior problems in early adolescence. Child Abus Negl. 2021; 112: 104921. doi:10.1016/j.chiabu.2020.104921. [Google Scholar] [CrossRef]
59. Lereya ST , Samara M , Wolke D . Parenting behavior and the risk of becoming a victim and a bully/victim: A meta-analysis study. Child Abus Negl. 2013; 37: 1091– 108. doi:10.1016/j.chiabu.2013.03.001. [Google Scholar] [CrossRef]
60. Zych I , Farrington DP , Ttofi MM . Protective factors against bullying and cyberbullying: A systematic review of meta-analyses. Aggress Violent Behav. 2019; 45: 4– 19. doi:10.1016/j.avb.2018.06.008. [Google Scholar] [CrossRef]
61. Bronfenbrenner U , Morris PA . The Bioecological Model of Human Development. Handb Child Psychol. 2007: 793– 827. doi:10.1002/9780470147658.chpsy0114. [Google Scholar] [CrossRef]
62. Evans GW , Li D , Whipple SS . Cumulative risk and child development. Psychol Bull. 2013; 139: 1342– 96. doi:10.1037/a0031808. [Google Scholar] [CrossRef]
63. Sijtsema JJ , Lindenberg S , Veenstra R . Do they get what they want or are they stuck with what they can get? Testing homophily against default selection for friendships of highly aggressive boys. The TRAILS Study. J Abnorm Child Psychol. 2010; 38( 6): 803– 13. doi:10.1007/s10802-010-9402-5. [Google Scholar] [CrossRef]
64. Chyung YJ , Lee YA , Ahn SJ , Bang HS . Associations of Perceived Parental Psychological Control with Depression, Anxiety in Children and Adolescents: A Meta-Analysis. Marriage Fam Rev. 2022; 58( 2): 158– 97. doi:10.1080/01494929.2021.1941496. [Google Scholar] [CrossRef]
65. Meter DJ , Ehrenreich SE , Underwood MK . Relations between Parent Psychological Control and Parent and Adolescent Social Aggression. J Child Fam Stud. 2019; 28( 1): 140– 51. doi:10.1007/s10826-018-1240-z. [Google Scholar] [CrossRef]
66. Rudolph KD , Lansford JE , Agoston AM , Sugimura N , Schwartz D , Dodge KA , et al. Peer victimization and social alienation: Predicting deviant peer affiliation in middle school. Child Dev. 2014; 85( 1): 124– 39. doi:10.1111/cdev.12112. [Google Scholar] [CrossRef]
67. MacBeth A , Gumley A . Exploring compassion: A meta-analysis of the association between self-compassion and psychopathology. Clin Psychol Rev. 2012; 32( 6): 545– 52. doi:10.1016/j.cpr.2012.06.003. [Google Scholar] [CrossRef]
68. Neff KD , Vonk R . Self-compassion versus global self-esteem: Two different ways of relating to oneself. J Pers. 2009; 77( 1): 23– 50. doi:10.1111/j.1467-6494.2008.00537.x. [Google Scholar] [CrossRef]
69. Marsh IC , Chan SWY , MacBeth A . Self-compassion and psychological distress in adolescents—A meta-analysis. Mindfulness. 2018; 9( 4): 1011– 27. doi:10.1007/s12671-017-0850-7. [Google Scholar] [CrossRef]
70. Barber BK , Xia M . The centrality of control to parenting and its effects. In: Authoritative Parenting: Synthesizing Nurturance and Discipline for Optimal Child Development. Washington, DC, USA: American Psychological Association; 2013. p. 61– 87. doi:10.1037/13948-004. [Google Scholar] [CrossRef]
71. Podsakoff PM , MacKenzie SB , Podsakoff NP . Sources of method bias in social science research and recommendations on how to control it. Annu Rev Psychol. 2012; 63: 539– 69. doi:10.1146/annurev-psych-120710-100452. [Google Scholar] [CrossRef]
72. Baldry AC , Farrington DP , Sorrentino A . “Am I at risk of cyberbullying”? A narrative review and conceptual framework for research on risk of cyberbullying and cybervictimization: The risk and needs assessment approach. Aggress Violent Behav. 2015; 23: 36– 51. doi:10.1016/j.avb.2015.05.014. [Google Scholar] [CrossRef]
73. Kowalski RM , Giumetti GW , Schroeder AN , Lattanner MR . Bullying in the digital age: A critical review and meta-analysis of cyberbullying research among youth. Psychol Bull. 2014; 140( 4): 1073– 137. doi:10.1037/a0035618. [Google Scholar] [CrossRef]
74. Bluth K , Eisenlohr-Moul TA . Response to a mindful self-compassion intervention in teens: A within-person association of mindfulness, self-compassion, and emotional well-being outcomes. J Adolesc. 2017; 57( 1): 108– 18. doi:10.1016/j.adolescence.2017.04.001. [Google Scholar] [CrossRef]
Cite This Article
Copyright © 2026 The Author(s). Published by Tech Science Press.This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Submit a Paper
Propose a Special lssue
View Full Text
Download PDF
Downloads
Citation Tools