Bullying Victimization: A Comprehensive Overview of Emotional Responses and Psychological Consequences
Abstract
1. Introduction
1.1. Bullying Based on Context
1.2. The Emotional Dimension in Bullying Victimization
1.3. Aim of the Review
2. Materials and Methods
3. Results
4. Self-Conscious Emotions in Bullying Victimization
4.1. The Role of Humiliation
4.1.1. Humiliation at School
4.1.2. Humiliation at Work
4.1.3. Humiliation in Digital Domains
4.1.4. Humiliation in Ethnic–Cultural Bullying
4.1.5. Humiliation in Bullying Toward Stigmatized Groups
4.2. The Role of Shame
4.2.1. Shame, Self-Esteem, and Bullying Victimization
4.2.2. Shame in Bullying Toward Individuals with Health-Related Stigma
4.3. The Role of Guilt
4.3.1. Guilt and Bully-Victims
4.3.2. Guilt in Bullying Toward Individuals with Mental Health Conditions
5. Basic Emotions in Bullying Victimization
5.1. The Role of Anger
5.2. The Role of Fear
6. Psychological Consequences of Bullying Victimization
6.1. Psychological Impact of Victimization in Traditional Bullying
6.2. Psychological Impact of Victimization in Cyberbullying
6.3. Psychological Impact of Victimization in Workplace Bullying
7. Discussion
7.1. Theoretical Implications
7.2. Practical Implications
7.3. Limitations
8. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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| Subsection | Methodology | Geographical Context | Language |
|---|---|---|---|
| Introductory research on self-conscious emotions (4 articles) | Longitudinal (50%), review (25%), editorial (25%). | The United States (50%), Canada (25%), cross-national (25%). | English (100%). |
| The role of humiliation (109 articles) | Cross-sectional (50.46%), review (33.94%), book or book chapter (4.59%), longitudinal (2.75%), meta-analysis (2.75%), case-report (0.92%), commentary (0.92%), editorial (0.92%), neurophysiological experimental study (0.92%), opinion article (0.92%), thesis (0.92%). | The United States (30.28%), Spain (11.01%), the United Kingdom (8.26%), India (4.59%), Italy (4.59%), Canada (3.67%), cross-national (3.67%), Finland (3.67%), Australia (2.75%), Sweden (2.75%), The Netherlands (2.75%), China (1.83%), France (1.83%), Greece (1.83%), Israel (1.83%), Portugal (1.83%), Argentina (0.92%), Brazil (0.92%), Chile (0.92%), Colombia (0.92%), Hungary (0.92%), Ireland (0.92%), New Zealand (0.92%), Norway (0.92%), Palestine (0.92%), Peru (0.92%), Poland (0.92%), Singapore (0.92%), Switzerland (0.92%), Turkey (0.92%). | English (92.66%), Italian (3.67%), French (1.83%), Polish (0.92%), Spanish (0.92%). |
| The role of shame (54 articles) | Review (38.89%), cross-sectional (31.48%), longitudinal (20.37%), meta-analysis (3.7%), book or book chapter (1.85%), case–control study (1.85%), lexicographical analysis (1.85%). | Cross-national (20.37%), the United Kingdom (12.96%), the United States (12.96%), Spain (7.41%), Canada (5.56%), Norway (5.56%), China (3.7%), Italy (3.7%), Portugal (3.7%), The Netherlands (3.7%), Australia (1.85%), Austria (1.85%), Colombia (1.85%), France (1.85%), Germany (1.85%), Greece (1.85%), Mexico (1.85%), Poland (1.85%), Sudan (1.85%), Sweden (1.85%), Switzerland (1.85%). | English (98.15%), French (1.85%). |
| The role of guilt (29 articles) | Cross-sectional (58.62%), review (27.59%), book or book chapter (3.45%), case–control study (3.45%), longitudinal (3.45%), meta-analysis (3.45%). | The United States (20.69%), Norway (13.79%), Spain (13.79%), Australia (6.89%), cross-national (6.89%), Greece (6.89%), Italy (6.89%), Brazil (3.45%), Canada (3.45%), China (3.45%), Finland (3.45%), Hungary (3.45%), Portugal (3.45%), the United Kingdom (3.45%). | English (96.55%), Greek (3.45%). |
| Introductory research on basic emotions (13 articles) | Review (46.15%), cross-sectional (38.46%), book or book chapter (7.69%), longitudinal (7.69%). | The United States (53.85%), The Netherlands (23.08%), China (7.69%), cross-national (7.69%), Saudi Arabia (7.69%). | English (100%). |
| The role of anger (26 articles) | Review (30.77%), cross-sectional (26.92%), longitudinal (26.92%), between-subject experimental study (7.69%), book or book chapter (3.85%), research letter (3.85%). | The United States (38.46%), cross-national (11.54%), The Netherlands (7.69%), Australia (3.85%), Canada (3.85%), China (3.85%), Finland (3.85%), Greece (3.85%), Hungary (3.85%), Iran (3.85%), Israel (3.85%), Italy (3.85%), Spain (3.85%), the United Kingdom (3.85%). | English (100%). |
| The role of fear (13 articles) | Cross-sectional (38.46%), review (30.77%), between-subject experimental study (15.38%), commentary (7.69%), longitudinal (7.69%). | The United States (46.15%), Australia (7.69%), Belgium (7.69%), China (7.69%), cross-national (7.69%), Germany (7.69%), Switzerland (7.69%), the United Kingdom (7.69%). | English (100%). |
| Complementary research on psychological consequences (18 articles) | Cross-sectional (33.33%), review (27.78%), longitudinal (16.67%), meta-analysis (11.11%), bibliometric analysis (5.56%), book or book chapter (5.56%). | Cross-national (16.67%), Spain (16.67%), China (11.11%), the United States (11.11%), Australia (5.56%), Canada (5.56%), Croatia (5.56%), Indonesia (5.56%), Norway (5.56%), Pakistan (5.56%), Taiwan (5.56%), The Netherlands (5.56%). | English (100%). |
| Traditional bullying (31 articles) | Cross-sectional (87.1%), longitudinal (12.9%). | China (35.48%), the United States (9.68%), Spain (6.45%), Turkey (6.45%), Australia (3.23%), Bangladesh (3.23%), Canada (3.23%), cross-national (3.23%), Germany (3.23%), Greece (3.23%), Indonesia (3.23%), Italy (3.23%), Norway (3.23%), Portugal (3.23%), Saudi Arabia (3.23%), Sweden (3.23%), the United Kingdom (3.23%). | English (96.77%), Portuguese (3.23%). |
| Cyberbullying (28 articles) | Cross-sectional (89.29%), longitudinal (10.71%). | The United States (21.43%), China (14.29%), Malaysia (7.14%), Spain (7.14%), Vietnam (7.14%), Bangladesh (3.57%), France (3.57%), Ghana (3.57%), Hong Kong (3.57%), India (3.57%), Japan (3.57%), Mexico (3.57%), Pakistan (3.57%), Qatar (3.57%), Romania (3.57%), Saudi Arabia (3.57%), Singapore (3.57%). | English (100%). |
| Workplace bullying (18 articles) | Cross-sectional (55.56%), longitudinal (44.44%). | Norway (22.22%), Denmark (11.11%), Spain (11.11%), Australia (5.56%), Bangladesh (5.56%), cross-national (5.56%), Cyprus (5.56%), Germany (5.56%), Italy (5.56%), Korea (5.56%), Mexico (5.56%), Poland (5.56%), the United States (5.56%). | English (100%). |
| Study/Country | Design | Participants | Instruments | Findings |
|---|---|---|---|---|
| Arslan et al. (2021)/Turkey | Cross-sectional study | N = 456 middle and high school students. Mean age: 15.53 years | SEHS-S, BES, YIBS, YEBS, SWS | Adolescents involved as victims or perpetrators showed lower positive psychological orientations, reduced subjective well-being, and increased emotional and behavioral problems compared to non-involved peers. Positive psychological orientations mediated the link between bullying involvement and mental health outcomes, as well as overall well-being. |
| Baiden and Tadeo (2020)/USA | Cross-sectional study using a national survey | N = 14,603 middle and high school students (grades 9 and 12). Age range: 14–18 years | Own instruments | Around 18% of adolescents reported suicidal ideation in the past year. Experiencing both school bullying and cyberbullying increased the odds of suicidal ideation by 3.26 times, school bullying alone by 2.15 times, and cyberbullying alone by 2 times. Key associated factors included forced sexual intercourse, depressive symptoms, and substance use. |
| Baier et al. (2019)/Germany | Cross-sectional study | N = 10,638 middle school students (grade 9). Mean age: 14.9 years | PHQ-4, SSS-8 | Cyberbullying was the strongest predictor of poor mental health for both sexes. Relational bullying by classmates and teachers was also linked to poor mental health, and sexual cyberbullying correlated with mental health issues in females. No association was found between physical bullying and mental health outcomes. |
| Balluerka et al. (2023)/Spain | Cross-sectional study | N = 550 middle and high school students. Mean age: 12.2 years | QEPV, RSES, CECAD | Bullying victimization was a significant risk factor for anxiety and depression in children and adolescents. Self-esteem mediated the link between victimization and emotional distress, with a particularly strong effect for depression. |
| Bao et al. (2020)/China | Cross-sectional study | N = 2360 middle and high school students. Mean age: 13.41 years and 16.40 years, respectively | Own instruments | Psychological pain fully mediated the bullying-suicidal ideation link in middle school students and partially mediated it in high school students. Family togetherness mitigated this indirect effect in middle school, whereas peer support moderated it in high school students. |
| X. W. Chu et al. (2019)/China | Longitudinal study. Follow-up 1 year | N = 661 middle school students (grades 7 and 8). Mean age: 12.86 years | TBS, RCBI-II, DASS-21, RSES, S-CS, ULS-8 | Bullying victimization did not predict later psychosocial issues, but adolescents with psychosocial challenges were more likely to be victimized. Depression and general anxiety predicted both school and cyberbullying, while stress predicted school bullying. Self-esteem, social anxiety, and loneliness predicted cyberbullying victimization, with males high in loneliness more likely than females to experience it. |
| Duan et al. (2020)/China | Cross-sectional study | N = 11,919 middle and high school students. Mean age: 15.0 years | PHQ-9, TCSQ, MINI | The relationship between bullying involvement and suicide risk was mediated by negative coping styles and depressive symptoms, with these factors also acting as serial mediators in the association. |
| Espelage et al. (2016)/USA | Retrospective study | N = 482 undergraduate students. Mean age: 19.98 years | JVQ, UIVS, BSI, SPRINT | Bullying victimization significantly predicted higher levels of depression, anxiety, and post-traumatic stress, even after controlling for other childhood victimization experiences. Exposure to community violence and child abuse predicted post-traumatic stress symptoms, with bullying victimization emerging as the strongest predictor. |
| Eyuboglu et al. (2021)/Turkey | Cross-sectional study | N = 6202 middle and high school students. Mean age: 14.4 years | HADS, SDQ, RSES | The prevalence of school bullying and cyberbullying victimization was 33% and 17%, respectively. Bullying involvement, whether as a victim, perpetrator, or both, was associated with anxiety, depression, psychosocial difficulties, and self-harm, with higher prevalence among females. |
| Gong et al. (2022)/China | Cross-sectional study | N = 1943 elementary, middle and high school students. Age range: 9–30 years | GAD-7 | School bullying was linked to higher levels of anxiety in both victims and perpetrators, particularly for those involved in both roles. The relationship between bullying and anxiety was not one-directional, but rather characterized by a complex feedback loop in which anxiety increased the likelihood of being targeted by bullying and also of engaging in bullying behavior. |
| Guo et al. (2022)/China | Cross-sectional study | N = 3635 middle school students. Age not established | OBVQ, PHQ-9, GAD-7, IGA, IWB | Bullying victimization significantly impacted mental health and social support. Victims showed maladaptive behaviors altering perceived support and influencing anxiety, depression, subjective well-being, and aggression. Three main pathways were identified: (i) direct effect on aggressive behavior, (ii) direct effect on perceived social support, and (iii) indirect effect via both aggression and social support. |
| Hasan et al. (2025)/Saudi Arabia | Cross-sectional study | N = 304 school students. Age range: 15–18 years | OBVQ, DASS-21 | The study found a significant difference in the psychological impact of bullying on depression and stress, but no such effect was observed on anxiety. |
| Islam et al. (2020)/Australia | Cross-sectional study | N = 2166 high school students. Age range: 12–17 years | DISC-IV, YRBS, OBVQ | Individuals that experienced school bullying or cyberbullying exhibited a significantly higher risk of developing major depressive disorder, suicidality, and self-harm compared to those not been exposed. |
| C. Jiang and Shi (2024)/9 countries | Cross-sectional study | N = 26,450 adolescents of 9 countries. Mean age: 15.44 years | SSES | School and cyberbullying victimization were positively associated with problematic behaviors, with cyberbullying showing a stronger effect. Intrapersonal emotional competence and interpersonal social competence mediated these relationships. |
| Mata et al. (2021)/Portugal | Cross-sectional study | N = 224 young adults. Mean age: 22.71 years | MPS, PANSI, DASS, CTQ-SF, | Depressive symptoms partially mediated the link between negative life events and suicidal ideation, with socially prescribed perfectionism moderating the depressive symptom–suicidal ideation pathway. The relationship was strongest among young adults with high perfectionism. |
| Morales-Rodríguez et al. (2023)/Spain | Cross-sectional study | N = 337 university students. Mean age: 20.22 years | DASS-21, PSRS, PSS, GSES, TMMS, STAI, CSS, MPS, HSPS-S | Emotional attention, problem solving coping strategies, perfectionism, and trait anxiety were the most significant contributors in predicting suicidal risk, with maladaptive perfectionism identified as a key factor that exacerbates the risk. |
| Orri et al. (2020)/Canada | Longitudinal study | N = 1618 adolescents. Age range: 13–20 years | SS, DASS | The lifetime prevalence of passive suicidal ideation, serious suicidal ideation, and suicide attempts was 22.2%, 9.8%, and 6.7%, respectively. Females reported these outcomes at twice the rate of males. Mental health issues were consistently linked to suicide-related outcomes across all ages, with similar patterns observed for both males and females. |
| Östberg et al. (2018)/Sweden | Cross-sectional study | N = 392 middle school students (grades 8 and 9). Age range: 14–16 years | PASS | Bullying was linked to higher levels of perceived stress and an increased risk of recurrent pain in both males and females. Students who experienced bullying showed lower cortisol output and a diminished cortisol awakening response compared to those who were not bullied. |
| Pascual-Sanchez et al. (2021)/UK | Cross-sectional study | N = 1288 secondary school students. Mean age: 12.88 years | OBVQ, EIS, CNS, ICU, RSES | No significant differences in narcissism were found. Bullying perpetrators showed higher impulsivity and callous–unemotional traits, as well as lower self-esteem. Impulsivity predicted all forms of perpetration, while callous–unemotional traits and low self-esteem were specifically linked to school bullying and cyberbullying. |
| Peng et al. (2020)/China | Cross-sectional study | N = 4241 middle and high school students. Age range: 11–18 years | JCVQ, K-10 | Bullying victimization and perpetration were reported by 18.0% and 10.7% of participants, respectively. The prevalence of self-harm, suicidal ideation, and suicide attempts was 11.8%, 11.8%, and 7.1%, respectively. Both physical bullying victimization and perpetration were identified as risk factors for self-harm and suicidal behavior. Verbal victimization was linked to suicidal ideation and cyberbullying perpetration to suicide attempts. |
| Plexousakis et al. (2019)/Greece | Cross-sectional study | N = 433 secondary school students. Age range: 8–16 years | OBVQ, CROPS, PBIS | Parental overprotection was positively associated with post-traumatic stress symptoms. Parental bonding quality related to bullying experiences and post-traumatic symptomatology, whereas parental care appeared to reduce the development of post-traumatic stress symptoms. |
| Rahayu and Hamid (2021)/Indonesia | Cross-sectional study | N = 415 middle school students (grades 7 and 8). Age range: 12–14 years | VAS, RSES, KADS-11 | A significant relationship was found between verbal aggressiveness and self-esteem in early adolescents exhibiting verbal aggression. A connection between verbal aggressiveness and depression in these adolescents was also found. |
| Ringdal et al. (2020)/Norway | Cross-sectional study | N = 1814 upper secondary graduate students. Age range: 15–21 years | MSPSS, SWEMWBS, HSCL-10, ASQ | Social support, bullying, and school-related stress were associated with well-being and anxiety/depression, with small-to-moderate effects. Bullying showed the strongest correlation with anxiety/depressive symptoms, while teacher-related stress had a weak link to anxiety/depression and no significant association with well-being. |
| Shahnaz and Ara (2019)/Bangladesh | Cross-sectional study | N = 75 bullied and 75 non-bullied individuals. Age range: 12–14 years | CBVS, CSS, RSES | A negative correlation was found between bullying and self-esteem, while self-esteem was positively correlated with coping skills. The study revealed significant differences in self-esteem and coping strategies between victims and non-victims of bullying. |
| Smith and Reidy (2021)/USA | Cross-sectional study using a national survey | N = 5967 individuals (1061 gays, 3210 bisexuals, and 1696 unsure). Mean age: 16 years | Own instruments | Bullying partially mediated the link between sex and suicide risk, with females reporting higher risk and greater cyberbullying experiences than males. No significant differences were found across sexual minority subgroups. |
| Vacca et al. (2023)/Italy | Cross-sectional study | N = 638 high school students. Mean age: 15.65 years | OBVQ, DASS-21, CERQ-18 | Bullying victimization impacted depression, anxiety, and stress via dysfunctional cognitive emotion regulation, with no significant effect on functional strategies. Its influence on mental health was both direct and indirect, showing a harmful effect on emotional well-being. |
| Xie et al. (2020)/China | Cross-sectional study | N = 1634 elementary school students (grades 9). Mean age: 13 years | CSS | Bullying victimization was strongly associated with depression in children. Coping strategies influenced severity: those who sought help demonstrated better psychological well-being than those who relied on self-defense or avoidance behaviors. The link between victimization and depression was moderated by coping style. |
| Y. Xu et al. (2023)/China | Cross-sectional study | N = 5013 high school students (grades 11 and 12). Mean age: 15.81 years | DBVS, SQ, DDIS, PCL-5, TEC | School bullying victimization correlated with post-traumatic stress symptoms. An indirect link was mediated by feelings of insecurity, with a pathway from insecurity to self-disclosure. However, self-disclosure did not mediate the effect on post-traumatic stress symptoms. |
| Yang et al. (2021)/China | Cross-sectional study | N = 11,248 elementary school students (grades 5 and 12). Mean age: 13.83 years | MSSVB, MSSMHS | The results showed that 30.8% of participants experienced bullying victimization (20.5% relational, 5.3% cyberbullying) in the past six months. Psychological symptoms occurred in 20.2%, self-harm in 3.1%, suicidal ideation in 7.6%, and suicide attempts in 1.9%. Males were more vulnerable to victimization, while females reported higher rates of self-harm, suicidal ideation, and suicide attempts. |
| Zhong et al. (2021)/China | Longitudinal study. Follow-up 2 years | N = 4043 elementary school students (grades 3 and 4). Mean age: 9.93 years | CMPV, EBQ, RSES, YSR | Bullying victimization was positively and significantly associated with subsequent depressive symptoms. Self-esteem played a mediating role in the relationship between bullying victimization and the development of depressive symptoms. |
| Zou et al. (2023)/China | Cross-sectional study | N = 2106 female college students. Mean age: 19.83 years | MINI-C, SBBQ, RRS, ISI | Rumination significantly mediated the link between bullying victimization and suicidal ideation. Insomnia mediated the relationship for cyberbullying but not for school bullying. The chain mediation of rumination and insomnia was significant across bullying forms. |
| Study/Country | Design | Participants | Instruments | Findings |
|---|---|---|---|---|
| Albdour et al. (2019)/USA | Cross-sectional study | N = 150 middle school students (grades 5–12). Age range: 12–16 years | CSI-24, K10 | 34% of adolescents reported cyberbullying victimization and 26.7% admitted perpetration in the past year, with significant gender differences. Common platforms included text messaging, Instagram, and Facebook. Victimization was linked to psychological distress, while perpetration was associated with physical complaints. |
| Albikawi (2023)/Saudi Arabia | Cross-sectional study | N = 2106 female college students. Mean age: 19.83 years | RSES, SAS, CIAS-R, WHO-5, CVBI | Prevalence rates among students included low self-esteem (19.6%), depression (30.2%), internet addiction (49.2%), anxiety (34.6%), cyberbullying perpetration (20.7%), and victimization (17.3%). Low self-esteem was inversely related to both perpetration and victimization, while internet addiction predicted both outcomes. |
| Alrajeh et al. (2021)/Qatar | Cross-sectional study | N = 836 university students. Age range: 18–34 years | RCBI-II, PHQ-9 | Among students, 6.8% perpetrated cyberbullying, 29.2% were victims, 35.8% were both perpetrators and victims, and 28.2% were uninvolved. Around 50% scored 10 or higher on the PHQ-9, indicating depressive symptoms. Cyberbullying involvement was significantly associated with gender (p = 0.03) and depression (p < 0.001). |
| Balakrishnan and Fernandez (2018)/Malaysia | Cross-sectional study | N = 1263 young adults. Mean age: 20.9 years | RSES, TEQ | Binary logistic regression showed no significant effects of self-esteem or empathy on participants, regardless of their roles. However, self-esteem was strongly associated with the likelihood of victims experiencing anger and reporting incidents of cyberbullying. Among bystanders, significant associations were observed between self-esteem and feelings of anger, sadness, victim-blaming, and defending the victim. Empathy showed no significant correlations with the behavioral or emotional responses of bullies, victims, or bystanders. |
| Cénat et al. (2019)/France | Cross-sectional study | N = 4626 undergraduate students. Mean age: 20.08 years | YRBS, CYB-VIC | Cyberbullying victimization was more prevalent among males. Victims, regardless of gender, were more likely to report suicidal ideation and attempts. Psychological distress significantly mediated the link between cyberbullying victimization and suicidality. |
| X. W. Chu et al. (2018)/China | Cross-sectional study | N = 487 adolescents Mean age: 12.67 years | CBI, HSC, S-CS, CESDS, BAI | Feelings of hopelessness partially mediated the link between cyberbullying victimization and both depression and anxiety. Effects were more pronounced in adolescents with lower levels of self-compassion. |
| X. Chu et al. (2022)/China | Cross-sectional study | N = 1289 university students. Age range: 16–25 years | CSE, RCBI-II, CESDS, BSI-CV | Depression mediated the link between cyberbullying victimization and suicidal ideation more strongly (p = 0.282) than core self-evaluation (p = −0.148). |
| Felipe-Castaño et al. (2019)/Spain | Cross-sectional study | N = 1108 university students. Mean age: 20.95 years | CYB-VIC, CYB-AGRE, SA-45, | A total of 77.6% participants experienced cyberbullying, and 51.2% committed cyberaggression in the past year. Most incidents lasted one month or less. Prolonged cases were less habitual. Male aggressors were more frequent, with no gender differences among victims. |
| Giumetti et al. (2022)/USA | Longitudinal study. Follow-up 6 months | N = 317 university students. Age range: 19–31 years | WCM, SNAQ, SDTQ, BES, MSPSS, SCS, CWBC, DASS | Bullying involvement and Machiavellianism predicted both victimization and cyberbullying perpetration. Victimization correlated with anxiety, depression, and helping behavior. Cyberbullying perpetration was linked to deviant behavior, but not to grade point average or alcohol use. |
| Ho et al. (2020)/Vietnam | Cross-sectional study | N = 606 university students. Age range: 18–25 years | CVS, DASS-21, PSSS | Cyberbullying victimization was positively correlated with depressive symptoms among Vietnamese university students, with social support partially mediating this relationship. |
| Ho et al. (2022)/Vietnam | Cross-sectional study | N = 819 university students. Mean age: 21.03 years | RSES, SRCS, DASS-21 | Self-esteem moderated the relationship between problem-solving strategies and depression symptoms, as well as between internalization strategies and depression symptoms in individuals subjected to cyberbullying. |
| Huang et al. (2021)/China | Cross-sectional study | N = 897 college students. Mean age: 20.43 years | RSES, SAS, CIAS-R | 64.3% of Chinese college students reported cyberbullying victimization, and 26.0% admitted perpetration during the semester. Cyberbullying was associated with gender, anxiety, internet addiction, game duration, and violent content in online games. |
| Q. Jiang et al. (2022)/China | Cross-sectional study | N = 728 middle school students. Mean age: 13.36 years | DERS-SF, TILS, CESDS, CS | Difficulties in emotion regulation were positively associated with adolescent cyberbullying, with loneliness and depression acting as mediators. |
| Lam et al. (2022)/USA | Cross-sectional study | N = 486 undergraduate students. Mean age: 20.1 years | SIAS, INCOM | Social anxiety was associated with both cyberbullying victimization and perpetration. However, the role of cyberbullying victimization as a moderator between social comparison and anxiety remained inconclusive. |
| J. Lee (2021)/Singapore | Cross-sectional, retrospective study | N = 356 university students. Mean age: 20.7 years | OBVQ, CVS, CESDS, DASS | Depressive and anxiety symptoms were positively correlated with all four forms of bullying victimization (childhood/young adult and traditional/cyber). Females reported higher depression and anxiety. Childhood cyberbullying increased risk of both victimization and perpetration in young adulthood, while childhood traditional bullying was mainly linked to later traditional victimization and mental health symptoms. Effects on mental health were partially mediated by young adult bullying involvement. |
| M. H. L. Lee et al. (2023)/Malaysia | Cross-sectional study | N = 270 university students Mean age: 21.98 years | BSMAS, DASS-21 | 24.4% of participants reported cyberbullying victimization, and 13.0% reported perpetration in the past six months. Male gender and social media addiction were positively associated with victimization and perpetration. Perpetration motivations included positive attitudes toward cyberbullying and desire for power. Victimization, social media addiction, and mental health issues (depression, anxiety, stress) were significantly related. |
| Lindsay et al. (2016)/USA | Cross-sectional study | N = 335 undergraduate students. Mean age: 21.8 years | Hierarchal multiple logistic regressions | 34% of participants reported anxiety from online interactions (40% females, 27% males), and 37% reported depression (38% females, 24% males). Emotional impact was influenced by gender and the sender–receiver relationship, with online harassment strongly linked to fear among young females. |
| Mallik and Radwan (2020)/Bangladesh | Two-phased, cross-sectional study | N = 276 middle and high school students. Age range: 14–17 years | SCV, CVBS, SDQ | Cyberbullying victimization prevalence was 32%, higher among males. Among victims, 27.3% showed at least one psychiatric disorder, with emotional (21.6%) and behavioral (12.5%) disorders being common. Major depressive disorder prevalence was 9.1%, significantly higher than in non-victims. |
| Martínez-Monteagudo et al. (2020)/Spain | Cross-sectional study | N = 1282 university students. Age range: 18–46 years | ECIPQ, DASS-21, SS | 18.6% of participants reported cyberbullying victimization in the past two months. Among victims, 72.2% experienced high anxiety, 68.1% showed depression symptoms, and 75.2% reported elevated stress. Victimization also predicted suicidal ideation. |
| Maurya et al. (2022)/India | Longitudinal study. Follow-up 3 years | N = 16,292 adolescents. Age range: 10–19 years | PHQ-9 | Cyberbullying victimization increased over three years, from 3.8% to 6.4% in females, and from 1.9% to 5.6% in males. Depressive symptoms affected 33% of females and 16.6% of males. Suicidal ideation was reported by 7.5% of females and 2.3% of males. Compared to non-victims, victims were 2.07 times more likely to experience depressive symptoms and 2.50 times more likely to report suicidal ideation. |
| Medrano et al. (2018)/Mexico | Cross-sectional study | N = 303 university students. Mean age: 19.73 years | SQ, CBQ-V, CESDS, PANSI | Sexting was linked to cyberbullying victimization, which was subsequently associated with depressive symptoms. Moreover, sexting, cyberbullying victimization, and depressive symptoms were significantly correlated with suicidal ideation. |
| Musharraf and Anis-ul-Haque (2018)/Pakistan | Cross-sectional study | N = 508 university students. Mean age: 20.53 years | CVS, DASS-21, WEMWBS | Cyberbullying victimization was negatively correlated with well-being and positively correlated with depression, anxiety, and stress. Cyberaggression showed no significant impact. Females were more likely than males to experience anxiety following victimization. |
| Sam et al. (2019)/Ghana | Cross-sectional study | N = 844 high school and university students. Mean age: 18.63 years | CVS, PVQ, PWBS, RSES | Psychological well-being showed no significant differences between victims and non-victims of cyberbullying. The impact of cyberbullying on psychological well-being was minimal, and no clear victim profile emerged from the data. |
| Selkie et al. (2015)/USA | Cross-sectional study | N = 265 female students. Age range: 18–25 years | PHQ-9, AUDIT | During college, 27% of participants experienced cyberbullying. Victimization was linked to increased risk of depression (17.4%), while perpetration was associated with higher risk of both depression and problematic alcohol use (37.5%). |
| Turliuc et al. (2020)/Romania | Longitudinal study. Follow-up 6 months | N = 300 adolescents. Mean age: 15.3 years | RCBI, BDI, ERQ, STAI, RSES | Depressive symptoms at Time 1 were not significantly related to cyberbullying victimization or perpetration at Time 2. However, Time 1 perpetration predicted higher depressive symptoms at Time 2. Males showed lower depression initially, with no later gender differences. |
| Urano et al. (2020)/Japan | Cross-sectional study | N = 6403 high school students. Age range: 12–18 years | SPEC, MSPSS, RSES, CVBI, JVK-6 | Cyberbullying victimization directly affected psychological distress and self-esteem. High intrapersonal emotional competence reduced psychological distress, whereas high interpersonal emotional competence increased it. No significant interactions were observed for self-esteem. |
| L. Wang (2021)/Hong Kong | Cross-sectional study | N = 607 middle and high school students. Mean age: 15.04 years | CVS, CDI, SASA, ScS, MS | Cyberbullying victimization significantly affected both social anxiety and depression. Social anxiety showed a negative correlation with social competence. |
| Wright and Wachs (2023)/USA | Cross-sectional study | N = 1309 elementary, middle, and high school students, as well as university students. Age range: >18–25 years | CESDS, MSPSS | Perceived parental social support was negatively associated with depression, while involvement in cyberbullying, whether as a victim, perpetrator, or witness, was positively correlated. Middle school students engaged in cyberbullying more frequently than high school and university students. |
| Study/Country | Design | Participants | Instruments | Findings |
|---|---|---|---|---|
| Aarestad et al. (2020)/Norway | Cross-sectional study | N = 675 patients from an outpatient clinic. Mean age: 39 years | S-NAQ, NAQ-R, MINI, BDI-II, BAI, SHCS, AUDIT, RSA, WAI, RTW-SE | Bullying exposure (25.8%) was associated with higher rates of depression, anxiety, health complaints, alcohol use, and reduced resilience. Exposed individuals also reported lower work ability, return-to-work self-efficacy, job satisfaction, and had double the prevalence of full-time sick leave. |
| Aristidou et al. (2020)/Cyprus | Cross-sectional study | N = 113 nurses. Mean age: 32.9 years | VAS, STSS-M, WVHSCCSRI | 47% of participants experienced or witnessed bullying, with 21% as victims only and 11% as witnesses. Symptom severity was linked to trauma, including post-traumatic stress disorder. High-frequency bullying was more prevalent than moderate experiences. Nurses in emergency departments reported more bullying than those in intensive care. Resignation was more likely among those considering it due to bullying, and those punished for reporting faced greater consequences. Reporting likelihood varied with perceived importance of incidents. |
| Bonde et al. (2016)/Denmark | Longitudinal study. Three waves for 4 years | N = 7502 public service and private sector employees | SF-36, KSQ, SCL90-R, MDI | Bullying reports showed a consistent pattern over four years, with 22.2% of employees experiencing recurring incidents. Self-reported health issues, such as sick leave, poor self-rated health, sleep disturbances, and depressive symptoms, persisted for years, regardless of whether bullying continued. |
| Clausen et al. (2016)/Denmark | Longitudinal study. Follow-up 1 year | N = 2766 employees (human service and sales workers, office workers, and manual workers). Mean age: 43 years | MDI, COPSOQ-II | The study found no significant link between exposure to bullying or threats of violence and turnover risk overall. However, a notable relationship was observed among office workers, but not among human service, sales, or manual workers. In addition, no association was found between threats of violence and turnover across different occupational groups. |
| Einarsen and Nielsen (2015)/Norway | Longitudinal study. 5-year time lag | N = 1613 Norwegian workforce. Mean age: 45.23 years | NAQ-R, QEAW, HSCL-25 | Workplace bullying significantly predicted mental health issues five years later, even after controlling for baseline mental health, gender, age, as well as job change, demands, and control. This effect was observed only in males, with male anxiety levels predicting subsequent bullying, whereas female baseline symptoms did not predict future exposure. |
| Enriquez Estrada et al. (2023)/Mexico | Cross-sectional study | N = 349 medical residents. Mean age: 28 years | LIPT, BDI-II, BAI, SFHS | 19.5% of participants experienced psychological terror, often perpetrated by higher-degree trainees (39%). Women were more affected, particularly through workplace stigma and inappropriate task assignments. Anxiety, lower mental health quality of life, and higher medical specialization independently predicted workplace bullying. |
| Figueiredo-Ferraz et al. (2015)/Spain | Longitudinal study. Follow-up 6 months | N = 372 Spanish employees working with people with intellectual disabilities at 61 companies. Mean age: 38.4 years | Mobbing-UNIPSICO Scale, ZSDS | Employees exposed to workplace bullying, especially those experiencing it persistently from Time 1 to Time 2, showed significantly higher depressive symptoms compared to those with transient or no bullying exposure, indicating that prolonged bullying is linked to increased depression. |
| Follmer and Follmer (2021)/USA | Longitudinal study using a cross-lagged panel design | N = 279 individuals with mood disorders. Participants were employed in industries such as manufacturing (N = 98), health care and social assistance (N = 40), and educational services (N = 21) | WIS, WOS, NSIS | The study found that even low-grade workplace mistreatment can adversely affect mental health and work outcomes, and may contribute to suicidal thoughts and behaviors among employees with depression or bipolar disorder. |
| Glavanits et al. (2025)/Germany, Austria and Hungary | Cross-sectional study | N = 89 victims of workplace bullying. Mean age: 40.3 years | PCQ, PSS-10, COPSOQ-II | The study found that high psychological capital was associated with lower stress, although workplace bullying maintained a direct relationship with stress, despite the moderating effect of psychological capital. |
| Kabir et al. (2023)/Bangladesh | Cross-sectional study | N = 1264 nurses. Mean age: 28.41 years | WPB, S-NAQ, BMS-10, SIDAS-5 | Elevated suicidal ideation (13.26%) was significantly linked to high-risk and targeted bullying, as well as to burnout, with an interaction observed between workplace bullying, burnout, and suicidal ideation. |
| E. S. Kim et al. (2025)/Korea | Cross-sectional study | N = 12,541 employees who participated I workplace mental health screenings. Age range: 19–65 years | CES-D, OLBI | Workplace bullying was reported by 18.7% of females and 10.6% of males, and was significantly associated with increased odds of suicidal ideation and attempts, regardless of depression status. |
| Lipińska-Grobelny (2023)/Poland | Cross-sectional study | N = 220 Polish employees. Age range: 22–65 | NAQ-R, GHQ-28 | Gender significantly moderated the impact of workplace bullying on mental health, with males exhibiting stronger responses, including somatic disorders, anxiety, insomnia, and depression, compared to females. |
| Loerbroks et al. (2015)/Germany | Longitudinal study. 4-year time lag | N = 621 junior hospital physicians | GSSTDS | Workplace bullying at baseline predicted increased depressive symptoms at 1- and 3-year follow-ups. Baseline depressive symptoms were also associated with a higher risk of subsequent bullying, particularly at the 3-year follow-up. |
| Lo Presti et al. (2019)/Italy | Cross-sectional study | N = 151 employees who called on a workplace bullying public clinical center as victims. Mean age: 50.1 years | Own instruments | Bootstrapped regression analysis indicated that anxiety mediated the link between workplace bullying and physical symptoms, while both anxiety and depression mediated its association with negative psychological outcomes. |
| Miller et al. (2020)/Australia | Cross-sectional study | N = 580 Fly-In–Fly-Out workers in the Australian resources sector. Mean age: 35.5 years | NAQ-R, BDI-II, BHS | 55.7% of participants reported workplace bullying, with 32.3% experiencing moderate to severe depression. Bullying was associated with a nearly threefold increase in suicide risk and a 2.5-fold higher likelihood of clinical depression. |
| Molero Jurado et al. (2021)/Spain | Cross-sectional study | N = 1357 Spanish, self-selected nurses from multiple healthcare institutions. Mean age: 30.86 years | CAPP, EQ-i-20M, CASPE, ASI-3 | Workplace bullying was linked to high anxiety sensitivity and low emotional intelligence, although perceived social support from family, friends, or significant others mitigated its negative effects. |
| Nielsen et al. (2017)/Norway | Longitudinal study. Two waves 10–22 months | N = 2337 employees from Norwegian governmental ministries | PCL-S, QPSNordic | Bullying victimization was associated with higher levels of post-traumatic stress disorder following a workplace terror attack, but it did not appear to influence the long-term trajectory of the disorder. |
| Nielsen et al. (2016)/Norway | Longitudinal study. Two waves 5 years (T1–T2 2 years, T1–T3 5 years) | N = 775 (T1–T2) and N = 1613 (T1–T3) Norwegian employees. Age range: 18–65 years | NAQ-R, HSCL | Suicidal ideation prevalence was 4% at T1, 5% at T2, and 4.2% at T3. At T1, participants reported monthly exposure to person-related bullying (8.2%), work-related bullying (19.1%), and physically intimidating bullying (1.8%). Only exposure to physically intimidating bullying was identified as a risk factor for suicidal ideation. |
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Borrego-Ruiz, A.; Fernández, S. Bullying Victimization: A Comprehensive Overview of Emotional Responses and Psychological Consequences. Psychol. Int. 2026, 8, 22. https://doi.org/10.3390/psycholint8010022
Borrego-Ruiz A, Fernández S. Bullying Victimization: A Comprehensive Overview of Emotional Responses and Psychological Consequences. Psychology International. 2026; 8(1):22. https://doi.org/10.3390/psycholint8010022
Chicago/Turabian StyleBorrego-Ruiz, Alejandro, and Saulo Fernández. 2026. "Bullying Victimization: A Comprehensive Overview of Emotional Responses and Psychological Consequences" Psychology International 8, no. 1: 22. https://doi.org/10.3390/psycholint8010022
APA StyleBorrego-Ruiz, A., & Fernández, S. (2026). Bullying Victimization: A Comprehensive Overview of Emotional Responses and Psychological Consequences. Psychology International, 8(1), 22. https://doi.org/10.3390/psycholint8010022

