大学生网络受欺负与抑郁的关系:心理资本和同伴支持的调节作用*

周莉, 王宏霞, 耿靖宇, 雷雳

心理科学 ›› 2024, Vol. 47 ›› Issue (4) : 981-989.

PDF(991 KB)
中文  |  English
PDF(991 KB)
心理科学 ›› 2024, Vol. 47 ›› Issue (4) : 981-989. DOI: 10.16719/j.cnki.1671-6981.20240427
临床与咨询

大学生网络受欺负与抑郁的关系:心理资本和同伴支持的调节作用*

  • 周莉1, 王宏霞**2, 耿靖宇2, 雷雳**3
作者信息 +

Cyberbullying Victimization and Depression among College Students: The Moderating Roles of Psychological Capital and Peer Support

  • Zhou Li1, Wang Hongxia2, Geng Jingyu2, Lei Li3
Author information +
文章历史 +

摘要

本研究采用问卷法对837个大学生进行了线上调查,探讨了心理资本和同伴支持是否能同时调节网络受欺负与抑郁情绪之间的关系。结果表明心理资本能够缓冲网络受欺负与抑郁情绪之间的关系。此外,当大学生同时伴随较低的心理资本和同伴支持,或其中一者较低时,网络受欺负均显著预测抑郁情绪。而当大学生同时伴随较高的心理资本和同伴支持时,网络受欺负对抑郁情绪的预测作用不再显著。

Abstract

This study sought to explore the moderating roles of psychological capital and peer support in the association between cyberbullying victimization and depression. The widespread usage of mobile technology and social media has added the concerns of the adverse effects of cyberbullying on victims' physical and mental health, especially among college students. In recent years, cyberbullying victimization has become a serious social and public issue worldwide. Previous studies have reported that cyberbullying victimization is closely related to mental health problems, particularly depression. Although cyberbullying victimization is significantly and positively related to college students' depression, not all college students experience higher levels of depression when faced with cyberbullying. That is, there may be important moderating factors that buffer the relationship between cyberbullying victimization and depression. According to the extension of the general strain theory, the current study aims to explore whether resource factors, including psychological capital and peer support, can simultaneously weaken the association between cyberbullying victimization and depression among college students.
A total of 837 college students (281 males and 556 females) with an average age of 19.66 years (SD=1.75 years ) were recruited to complete an online questionnaire regarding cyberbullying victimization, depression, psychological capital, and peer support. Descriptive statistics and Pearson correlations were computed to analyze the relationships among cyberbullying victimization, psychological capital, peer support, and depression. Besides, the moderating effects of psychological capital and peer support were tested via model 3 of the PROCESS macro.
The results showed that college students who experienced more cyberbullying victimization were more likely to report higher levels of depression (β = .34, p < .001). College students who experienced cyberbullying victimization but had lower levels of psychological capital were more likely to be depressed (β = .37, p < .001) than those with higher levels of psychological capital (β = .22, p < .001). Furthermore, higher levels of cyberbullying victimization significantly predicted increases in college students' depression when their psychological capital and peer support were both low (β = .34, p < .001), or one was low (β = .24, p < .001; β = .27, p < .01). In contrast, this effect became non-significant when college students' psychological capital and peer support were both high (β = -.1, p >.05).
The possible explanation is that low psychological capital is a strong predictor of depression. Additionally, college students with low level of psychological capital tend to interpret cyberbullying victimization more negatively and make negative attributions for such encounter. Therefore, when exposed to cyberbullying victimization, college students with low levels of psychological capital are more likely to be depressed, regardless of whether they have high or low levels of peer support. For college students with high psychological capital and high peer support, they have both sufficient internal resources and external support when exposed to cyberbullying victimization, thus they are less likely to be depressed. Therefore, when the psychological capital and peer support of college students are both high, the adverse effect of cyberbullying victimization on depression is no longer significant. These findings further suggest that, while a high level of psychological capital or social capital alone is not enough to help individuals to cope with adverse experiences, and high levels of both psychological capital and peer support can counteract the negative consequences of cyberbullying victimization. Thus, interventions that increase psychological capital and peer support simultaneously should be designed to alleviate depression associated with cyberbullying victimization among college students.

关键词

网络受欺负 / 心理资本 / 同伴支持 / 抑郁情绪

Key words

cyberbullying victimization / psychological capital / peer support / depression

引用本文

导出引用
周莉, 王宏霞, 耿靖宇, 雷雳. 大学生网络受欺负与抑郁的关系:心理资本和同伴支持的调节作用*[J]. 心理科学. 2024, 47(4): 981-989 https://doi.org/10.16719/j.cnki.1671-6981.20240427
Zhou Li, Wang Hongxia, Geng Jingyu, Lei Li. Cyberbullying Victimization and Depression among College Students: The Moderating Roles of Psychological Capital and Peer Support[J]. Journal of Psychological Science. 2024, 47(4): 981-989 https://doi.org/10.16719/j.cnki.1671-6981.20240427

参考文献

[1] 陈红, 李艺, 李运端, 范翠英. (2020). 网络受欺负对非自杀性自伤的影响: 社会排斥和负性情绪的链式中介作用. 中国特殊教育, 1, 73-78.
[2] 姜乾金. (1999). , 心理卫生评定量表手册. 中国心理卫生杂志出版社.
[3] 李露, 叶宝娟, 倪林英, 杨强. (2020). 家庭亲密度对大学生亲社会行为的影响: 有调节的中介效应. 中国临床心理学杂志, 28(1), 178-180.
[4] 庞亚玲, 麻超, 雷亮, 石耀慧, 宋潮, 张振军. (2021). 大学生压力知觉对睡眠质量的影响: 有调节的中介模型. 中国特殊教育, 5, 81-89.
[5] 屈雅山, 常国良. (2019). 青少年网络欺凌问题与应对策略. 基础教育研究, 1, 20-22.
[6] 杨逸群, 陈亮, 陈光辉, 张文新. (2020). 同伴拒绝、友谊支持对青少年抑郁的影响: 有中介的调节模型. 中国临床心理学杂志, 28(2), 348-353.
[7] 张阔, 张赛, 董颖红. (2010). 积极心理资本: 测量及其与心理健康的关系. 心理与行为研究, 8(1), 58-64.
[8] Agnew, R. (1992). Foundation for a general strain theory of crime and delinquency. Criminology, 30(1), 47-88.
[9] Agnew, R. (2013). When criminal coping is likely: An extension of general strain theory. Deviant Behavior, 34(8), 653-670.
[10] Almenayes, J. (2017). The relationship between cyberbullying victimization and depression: The moderating effects of gender and age. Social Networking, 6(3), 215-223.
[11] Avey J. B., Luthans F., Smith R. M., & Palmer N. F. (2010). Impact of positive psychological capital on employee well-being over time. Journal of Occupational Health Psychology, 15(1), 17-28.
[12] Bonanno, R. A., & Hymel, S. (2013). Cyber bullying and internalizing difficulties: Above and beyond the impact of traditional forms of bullying. Journal of Youth and Adolescence, 42(5), 685-697.
[13] Cheng S. T., Cheung K. C. C., & Cheung C. K. (2008). Peer victimization and depression among Hong Kong adolescents. Journal of Clinical Psychology, 64(6), 766-776.
[14] Choi J. K., Teshome T., & Smith J. (2021). Neighborhood disadvantage, childhood adversity, bullying victimization, and adolescent depression: A multiple mediational analysis. Journal of Affective Disorders, 279, 554-562.
[15] Chou W. J., Wang P. W., Hsiao R. C., Hu H. F., & Yen C. F. (2020). Role of school bullying involvement in depression, anxiety, suicidality, and low self-esteem among adolescents with high-functioning autism spectrum disorder. Frontiers in Psychiatry, 11, Article 9.
[16] Chu X. W., Fan C. Y., Liu Q. Q., & Zhou Z. K. (2018). Cyberbullying victimization and symptoms of depression and anxiety among Chinese adolescents: Examining hopelessness as a mediator and self-compassion as a moderator. Computers in Human Behavior, 86, 377-386.
[17] Dou G. B., Xiang Y., Sun X. H., & Chen L. (2020). Link between cyberbullying victimization and perpetration among undergraduates: Mediating effects of trait anger and moral disengagement. Psychology Research and Behavior Management, 13, 1269-1276.
[18] Erdur-Baker, Ӧ., & Kavsut, F. (2007). Cyber bullying: A new face of peer bullying. Eurasian Journal of Educational Research, 27, 31-42.
[19] Felton J. W., Cole D. A., Havewala M., Kurdziel G., & Brown V. (2019). Talking together, thinking alone: Relations among co-rumination, peer relationships, and rumination. Journal of Youth and Adolescence, 48(4), 731-743.
[20] Franck E., Vanderhasselt M. A., Goubert L., Loeys T., Temmerman M., & De Raedt R. (2016). The role of self-esteem instability in the development of postnatal depression: A prospective study testing a diathesis-stress account. Journal of Behavior Therapy and Experimental Psychiatry, 50, 15-22.
[21] Fredrickson, B. L. (2001). The role of positive emotions in positive psychology: The broaden-and-build theory of positive emotions. American Psychologist, 56(3), 218-226.
[22] Giumetti G. W., Kowalski R. M., & Feinn R. S. (2022). Predictors and outcomes of cyberbullying among college students: A two wave study. Advance online publication. Aggressive Behavior, 48(1), 40-54.
[23] Hayes A. F.(2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. The Guilford Press.
[24] Ho, T. T. Q., & Gu, C. H. (2023). Cyberbullying victimization and depression: Self-esteem as a mediator and approach coping strategies as moderators. Journal of American College Health, 71(1), 94-101.
[25] Holfeld, B., & Mishna, F. (2019). Internalizing symptoms and externalizing problems: Risk factors for or consequences of cyber victimization? Journal of Youth and Adolescence, 48(3), 567-580.
[26] Hu Y., Bai Y. P., Pan Y. G., & Li S. (2021). Cyberbullying victimization and depression among adolescents: A meta-analysis. Psychiatry Research, 305, 114198.
[27] Jenaro C., Flores N., & Frías C. P. (2018). Systematic review of empirical studies on cyberbullying in adults: What we know and what we should investigate. Aggression and Violent Behavior, 38, 113-122.
[28] Jenaro C., Flores N., & Frías C. P. (2021). Anxiety and depression in cyberbullied college students: A retrospective study. Journal of Interpersonal Violence, 36(1-2), 579-602.
[29] Khine A. T., Saw Y. M., Htut Z. Y., Khaing C. T., Soe H. Z., Swe K. K., & Hamajima N. (2020). Assessing risk factors and impact of cyberbullying victimization among university students in Myanmar: A cross-sectional study. PLoS ONE, 15(1), e0227051.
[30] Luo W., Zhong B. L., & Chiu, H. F. K. (2021). Prevalence of depressive symptoms among Chinese university students amid the COVID-19 pandemic: A systematic review and meta-analysis. Epidemiology and Psychiatric Sciences, 30, e31.
[31] Luthans F., Avolio B. J., Avey J. B., & Norman S. M. (2007). Positive psychological capital: Measurement and relationship with performance and satisfaction. Personnel Psychology, 60(3), 541-572.
[32] Martínez-Monteagudo M. C., Delgado B., Díaz-Herrero Á., & García-Fernández J. M. (2020). Relationship between suicidal thinking, anxiety, depression and stress in university students who are victims of cyberbullying. Psychiatry Research, 286, 112856
[33] Medrano J. L. J., Lopez Rosales F., & Gámez-Guadix M. (2018). Assessing the links of sexting, cybervictimization, depression, and suicidal ideation among university students. Archives of Suicide Research, 22(1), 153-164.
[34] Miloseva L., Vukosavljevic-Gvozden T., Richter K., Milosev V., & Niklewski G. (2017). Perceived social support as a moderator between negative life events and depression in adolescence: Implications for prediction and targeted prevention. EPMA Journal, 8(3), 237-245.
[35] Molden D. C., Hui C. M., & Scholer, A. A. (2016). Understanding self-regulation failure: A motivated effort-allocation account. In E. R. Hirt, J. J. Clarkson, & L. L. Jia (Eds.), Self-Regulation and ego control (pp. 425-459). Academic Press.
[36] Niu G. F., He J., Lin S. Y., Sun X. J., & Longobardi C. (2020). Cyberbullying victimization and adolescent depression: The mediating role of psychological security and the moderating role of growth mindset. International Journal of Environmental Research and Public Health, 17(12), 4368.
[37] Parra L. A., Bell T. S., Benibgui M., Helm J. L., & Hastings P. D. (2018). The buffering effect of peer support on the links between family rejection and psychosocial adjustment in LGB emerging adults. Journal of Social and Personal Relationships, 35(6), 854-871.
[38] Peterson C.,& Seligman, M. E. (2004). Character strengths and virtues: A handbook and classification Oxford University Press A handbook and classification. Oxford University Press.
[39] Radloff, L. S. (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1(3), 385-401.
[40] Rueger S. Y., Malecki C. K., Pyun Y., Aycock C., & Coyle S. (2016). A meta-analytic review of the association between perceived social support and depression in childhood and adolescence. Psychological Bulletin, 142(10), 1017-1067.
[41] Saleem S., Khan N. F., & Zafar S. (2022). Prevalence of cyberbullying victimization among Pakistani youth. Technology in Society, 65, Article 101577.
[42] Song, R. J., & Song, L. J. (2021). The dampen effect of psychological capital on adolescent depression: A moderated mediation model. Current Psychology, 40(1), 56-64.
[43] Wang C. Y., Wen W., Zhang H. F., Ni J., Jiang J. J., Cheng Y. R., & Liu W. M. (2021). Anxiety, depression, and stress prevalence among college students during the COVID-19 pandemic: A systematic review and meta-analysis. Journal of American College Health. Advance online publication.
[44] Wang H. X., Zhou L., & Lei L. (2022). Using shattered assumption theory to understand how cyberbullying victimization is linked with perceived control among Chinese college students. Journal of Interpersonal Violence. 37(21-22), NP19624-NP19643.
[45] Wang X. C., Gao L., Yang J. P., Zhao F. Q., & Wang P. C. (2020). Parental phubbing and adolescents' depressive symptoms: Self-esteem and perceived social support as moderators. Journal of Youth and Adolescence, 49(2), 427-437.
[46] Worsley J. D., McIntyre J. C., & Corcoran R. (2019). Cyberbullying victimisation and mental distress: Testing the moderating role of attachment security, social support, and coping styles. Emotional and Behavioural Difficulties, 24(1), 20-35.
[47] Xiong J. M., Hai M., Wang J. T., Li Y., & Jiang G. R. (2020). Cumulative risk and mental health in Chinese adolescents: The moderating role of psychological capital. School Psychology International, 41(5), 409-429.
[48] Zhang H. P., Chi P. L., Long H. L., & Ren X. Y. (2019). Bullying victimization and depression among left-behind children in rural China: Roles of self-compassion and hope. Child Abuse and Neglect, 96, Article 104072.
[49] Zhou Z. K., Tang H. Y., Tian Y., Wei H., Zhang F. J., & Morrison C. M. (2013). Cyberbullying and its risk factors among Chinese high school students. School Psychology International, 34(6), 630-647.

基金

*本研究得到北京高校思想政治工作研究课题(BJSZ2021ZC02)的资助

PDF(991 KB)

评审附件

Accesses

Citation

Detail

段落导航
相关文章

/