心理发展与教育 ›› 2018, Vol. 34 ›› Issue (2): 210-218.doi: 10.16187/j.cnki.issn1001-4918.2018.02.10

• 灾后学生心理健康专题 • 上一篇    下一篇

社交网站成瘾与青少年抑郁的关系:认知负载和核心自我评价的中介作用

陈春宇1, 连帅磊1, 孙晓军1, 柴唤友1,2, 周宗奎1   

  1. 1. 青少年网络心理与行为教育部重点实验室;华中师范大学心理学院, 武汉 430079;
    2. 教育大数据应用技术国家工程实验室, 华中师范大学国家数字化学习工程技术研究中心, 武汉 430079
  • 出版日期:2018-03-15 发布日期:2018-03-15
  • 通讯作者: 周宗奎,E-mail:zhouzk@mail.ccnu.edu.cn E-mail:zhouzk@mail.ccnu.edu.cn
  • 基金资助:

    国家社科基金重大项目(11&ZD151);国家自然科学青年基金项目(31400887);华中师范大学中央高校基本科研业务费专项资金项目(CCNU14Z02004、CCNU15A02043);华中师范大学优秀博士学位论文培育计划项目(2017YBZZ085)。

The Effect of Social Network Sites Addiction on Adolescents' Depression: Mediating Role of Cognitive Overload and Core Self-evaluation

CHEN Chunyu1, LIAN Shuailei1, SUN Xiaojun1, CHAI Huanyou1,2, ZHOU Zongkui1   

  1. 1. Key Laboratory of Adolescent CyberPsychology and Behavior(CCNU), Ministry of Education;School of Psychology, Central China Normal University, Wuhan 430079;
    2. National Engineering Laboratory for Technology of Big Data Applications in Education, National Engineering Research Center for E-Learning, Central China Normal University, Wuhan 430079
  • Online:2018-03-15 Published:2018-03-15

摘要: 为探讨社交网站成瘾对青少年抑郁的影响及其作用机制,在素质-压力模型的视角下,采用社交网站成瘾量表、认知负载量表、核心自我评价量表和流调中心抑郁量表,对武汉市三所全日制中学886名初中生进行调查。结果表明:(1)社交网站成瘾、认知负载、核心自我评价和抑郁两两间存在显著的相关,且社交网站成瘾对抑郁具有显著的正向预测作用;(2)认知负载和核心自我评价能在社交网站成瘾与抑郁的关系中起完全中介作用。具体而言,社交网站成瘾通过三条路径影响抑郁:一是认知负载的单独中介作用;二是核心自我评价的单独中介作用;三是认知负载-核心自我评价的链式中介作用。本研究揭示了社交网站成瘾与抑郁的关系及其作用机制,拓展了社交网站成瘾对个体心理社会适应的研究。

关键词: 社交网站成瘾, 认知负载, 核心自我评价, 抑郁, 青少年

Abstract: The purpose of this study was to investigate the underlying mechanism between social network sites addiction and depression in adolescents. Based on the Diathesis-stress theory, a questionnaire, including Social Network Sites Addiction Scale, Cognitive Overload Scale, Core Self-Evaluations Scale, and Center for Epidemiologic Studies Depression Scale (CES-D), was used to investigate 886 junior school students from three full-time middle schools in Wuhan. The results indicated that:(1) There were significant correlations among social network sites addiction, cognitive overload, core self-evaluation and depression, and social network sites addiction significantly and positively predicted the level of depression; (2) Cognitive overload and core self-evaluation played mediating roles between social network sites addiction and depression. In particular, social network sites addiction affected depression through three paths:one was the mediating role of cognitive overload; the second was the mediating role of core self-evaluation; the third was the chain-mediated role of both cognitive overload and core self-evaluation. In summary, this study uncovered the mechanism underlying the relationship between social network sites addiction and depression, which contributes to the understanding of the complex mechanism between social network sites addiction and its outcomes.

Key words: social network sites addiction, cognitive overload, core self-evaluation, depression, adolescents

中图分类号: 

  • B844

Andreassen, C. S. (2015). Online social network site addiction:A comprehensive review. Current Addiction Reports, 2(2), 175-184.

Beck, A. T. (1967). Depression:Clinical, experimental, and theoretical aspectss (Vol. 32):University of Pennsylvania Press.

Chen, W., & Lee, K. H. (2013). Sharing, liking, commenting, and distressed? The pathway between facebook interaction and psychological distress. Cyberpsychology Behavior & Social Networking, 16(10), 728-734.

Cheng, H., & Furnham, A. (2003). Personality, self-esteem, and demographic predictions of happiness and depression. Personality & Individual Differences, 34(6), 921-942.

Cheung, L. M., & Wong, W. S. (2011). The effects of insomnia and internet addiction on depression in hong kong chinese adolescents:an exploratory cross-sectional analysis. Journal of Sleep Research, 20(2), 311-317.

Choi, S. B., & Lim, M. S. (2016). Effects of social and technology overload on psychological well-being in young south korean adults:The mediatory role of social network service addiction. Computers in Human Behavior, 61, 245-254.

Clasen, P. C., Fisher, A. J., & Beevers, C. G. (2015). Mood-reactive self-esteem and depression vulnerability:Person-specific symptom dynamics via smart phone assessment. PLoS ONE, 10, e0129774. doi:10.1371/journal.pone.0129774.

Douglas, A. C., Mills, J. E., Niang, M., Stepchenkova, S., Byun, S., & Ruffini, C., et al. (2008). Internet addiction:Meta-synthesis of qualitative research for the decade 1996-2006. Computers in Human Behavior, 24(6), 3027-3044.

Elphinston, R. A., & Noller, P. (2011). Time to face it! Facebook intrusion and the implications for romantic jealousy and relationship satisfaction. Cyberpsychology Behavior & Social Networking, 14(11), 631-635.

Feinstein, B. A., Hershenberg, R., Bhatia, V., Latack, J. A., Meuwly, N., & Davila, J. (2013). Negative social comparison on facebook and depressive symptoms:Rumination as a mechanism. Psychology of Popular Media Culture, 2(3), 161-170.

Guedes, E., Nardi, A. E., Machado, S., King, A. L. S., Guedes, E., & Nardi, A. E., et al. (2016). Social networking, a new online addiction:A review of facebook and other addiction disorders. Medicalexpress, 3(1), 1-6.

Hardie, E., & Tee, M. Y. (2007). Excessive Internet use:The role of personality, loneliness and social support networks in Internet Addiction. Australian Journal of Emerging Technologies & Society, 5(1), 34-47.

Hartup, W. W. (1996). The company they keep:Friendships and their developmental significance. Child Development, 67(1), 1-13.

Hayes, A. F. (2012). PROCESS:A versatile computational tool for observed variable mediation, moderation, and conditional process modeling[White paper]. Retrieved from http://www.athayes.com/public/process2012.pdf

Hong, F. Y., Huang, D. H., Lin, H. Y., & Chiu, S. L. (2014). Analysis of the psychological traits, facebook usage, and facebook addiction model of taiwanese university students. Telematics & Informatics, 31(4), 597-606.

Ingram, R. E., & Luxton, D. D. (2005). Vulnerability-stress models. In B. L. Hankin & J. R. Z. Abela (Eds.), Development of Psychopathology:A Vulnerability-Stress Perspective (pp. 32-46). Thousand Oaks, CA:Sage Publications, Inc.

Judge, T. A., & Bono, J. E. (2001). Relationship of core self-evaluations traits-self-esteem, generalized self-efficacy, locus of control, and emotional stability-with job satisfaction and job performance:a meta-analysis. Journal of Applied Psychology, 86(1), 80-92.

Judge, T. A., Erez, A., Bono, J. E., & Thoresen, C. J. (2003). The core self-evaluation scale:Development of a measure. Personnel Psychology, 56(2), 303-331.

Kim, K., Ryu, E., Chon, M. Y., Yeun, E. J., Choi, S. Y., & Seo, J. S., et al. (2006). Internet addiction in korean adolescents and its relation to depression and suicidal ideation:A questionnaire survey. International Journal of Nursing Studies, 43(2), 185-192.

Koc, M., & Gulyagci, S. (2013). Facebook addiction among turkish college students:The role of psychological health, demographic, and usage characteristics. Cyberpsychology Behavior & Social Networking, 16(4), 279-284.

Kuss, D. J., & Griffiths, M. D. (2011). Online social networking and addiction-a review of the psychological literature. International Journal of Environmental Research & Public Health, 8(9), 3528-3552.

Laumer, S., Mailer, C., & Weinert, C. (2013). The negative side of ICT-enabled communication:The case of social interaction overload in online social networks. In Proceedings of the 21st european conference on information systems(ecis). Completed research. Paper 86.

Lee, A. R., Son, S. M., & Kim, K. K. (2016). Information and communication technology overload and social networking service fatigue:A stress perspective. Computers in Human Behavior, 55, 51-61.

Maalouf, F. T., Atwi, M., & Brent, D. A. (2011). Treatment-resistant depression in adolescents:Review and updates on clinical management. Depression & Anxiety, 28(11), 946-954.

Maier, C., Laumer, S., Eckhardt, A., et al. (2012). When social networking turns to social overload:Explaining the stress, emotional exhaustion, and quitting behavior from social network sites' users. In Proceedings of the 20th European Conference on Information Systems, p. 71.

Maier, C., Laumer, S., Eckhardt, A., & Weitzel, T. (2015). Giving too much social support:Social overload on social networking sites. European Journal of Information Systems, 24(5), 447-464.

Mclaughlin, K. A., & King, K. (2015). Developmental trajectories of anxiety and depression in early adolescence. Journal of Abnormal Child Psychology, 43(2), 311-323.

Meena, P. S., Soni, R., Jain, M., & Paliwal, S. (2015). Social networking sites addiction and associated psychological problems among young adults:A study from North India. Diabetes & Metabolism, 6(1), 14-16.

Monroe, S. M., & Simons, A. D. (1991). Diathesis-stress theories in the context of life stress research:Implication for the depressive disorders. Psychological Bulletin, 110(3), 406-425.

Moreau, A., Laconi, S., Delfour, M., & Chabrol, H. (2015). Psychopathological profiles of adolescent and young adult problematic facebook users. Computers in Human Behavior, 44, 64-69.

Neira, C. J. B., & Barber, B. L. (2014). Social networking site use:Linked to adolescents' social self-concept, self-esteem, and depressed mood. Australian Journal of Psychology, 66(1), 56-64.

Ostovar, S., Allahyar, N., Aminpoor, H., Moafian, F., Nor, M. B. M., & Griffiths, M. D. (2016). Internet addiction and its psychosocial risks (depression, anxiety, stress and loneliness) among iranian adolescents and young adults:A structural equation model in a cross-sectional study. International Journal of Mental Health and Addiction, 14(3), 257-267.

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.

Salanova, M., Llorens, S., & Cifre, E. (2013). The dark side of technologies:Technostress among users of information and communication technologies. International Journal of Psychology, 48(3), 422-436.

Schraml, K., Perski, A., Grossi, G., & Simonssonsarnecki, M. (2011). Stress symptoms among adolescents:the role of subjective psychosocial conditions, lifestyle, and self-esteem. Journal of Adolescence, 34(5), 987-996.

Selye, H. (1976). Stress without distress. Philadelphia, PA:J.B. Lippincott Co.

Southall, D., & Roberts, J. E. (2002). Attributional style and self-esteem in vulnerability to adolescent depressive symptoms following life stress:A 14-week prospective study. Cognitive Therapy & Research, 26(5), 563-579.

Sowislo, J. F., & Orth, U. (2013). Does low self-esteem predict depression and anxiety? a meta-analysis of longitudinal studies. Psychological Bulletin, 139(1), 213-240.

Stavropoulos, V., Alexandraki, K., & Motti-Stefanidi, F. (2013). Recognizing internet addiction:Prevalence and relationship to academic achievement in adolescents enrolled in urban and rural greek high schools. Journal of Adolescence, 36(3), 565-576.

Sweller, J. (1988). Cognitive load during problem solving:Effects on learning. Cognitive Science, 12(2), 257-285.

Tarafdar, M., Tu, Q., Ragu-Nathan, B., & Ragu-Nathan, T. (2007). The impact of technostress on role stress and productivity. Journal of Management Information Systems, 24(1), 301-328.

Turel, O., & Serenko, A. (2012). The benefits and dangers of enjoyment with social networking websites. European Journal of Information Systems, 21(5), 512-528.

Valkenburg, P. M., Peter, J., & Schouten, A. P. (2006). Friend networking sites and their relationship to adolescents' well-being and social self-esteem. Cyberpsychology & Behavior, 9(5), 584-590.

Vogel, E. A., Rose, J. P., Roberts, L. R., & Eckles, K. (2014). Social comparison, social media, and self-esteem. Psychology of Popular Media Culture, 3(4), 206-222.

Wenzlaff, R. M., & Eisenberg, A. R. (2002). Mental control after dysphoria:Evidence of a suppressed, depressive bias *. Behavior Therapy, 32(1), 27-45.

Woods, H. C., & Scott, H. (2016). #Sleepyteens:Social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self-esteem. Journal of Adolescence, 51, 41-49.

Wu, A. M., Cheung, V. I., Ku, L., & Hung, E. P. (2013). Psychological risk factors of addiction to social networking sites among chinese smartphone users. Journal of Behavioral Addictions, 2(3), 160-166.

陈武, 周宗奎, 王明忠. (2013). 高中生父母冲突与抑郁:自尊的中介作用. 中国临床心理学杂志, 21(1), 136-138.

丁倩, 周宗奎, 张永欣. (2016). 大学生社交网站使用与依赖:积极自我呈现的中介效应与关系型自我构念的调节效应. 心理发展与教育, 32(6), 683-690.

范兴华, 陈锋菊, 唐文萍, 黄月胜, 袁宋云. (2016). 流动儿童歧视知觉、自尊与抑郁的动态关系:模型检验. 中国临床心理学杂志, 24(1), 45-48.

方杰, 张敏强, 邱皓政. (2012). 中介效应的检验方法和效果量测量:回顾与展望. 心理发展与教育, 28(1), 105-111.

郭昫澄, 郭永玉. (2012). 社会情境中的控制感. 心理科学进展, 20(11), 1860-1868.

蔺秀云, 方晓义, 刘杨, 兰菁. (2009). 流动儿童歧视知觉与心理健康水平的关系及其心理机制. 心理学报, 41(10), 967-979.

刘庆奇, 牛更枫, 范翠英, 周宗奎. (2017). 被动性社交网站使用与自尊和自我概念清晰性:有调节的中介模型. 心理学报, 49(1), 60-71.

聂衍刚, 曾敏霞, 张萍萍, 万华. (2013). 青少年人际压力、人际自我效能感与社交适应行为的关系. 心理与行为研究, 11(3), 346-351.

牛更枫, 孙晓军, 周宗奎, 孔繁昌, 田媛. (2016). 基于QQ空间的社交网站使用对青少年抑郁的影响:上行社会比较和自尊的序列中介作用. 心理学报, 48(10), 1282-1291.

任志洪, 江光荣, 叶一舵. (2011). 班级环境与青少年抑郁的关系:核心自我评价的中介与调节作用. 心理科学, (5), 1106-1112.

任志洪, 叶一舵. (2009). 核心自我评价量表的中文修订. 福建师范大学学报(哲学社会科学版), (4), 157-163.

汪向东, 王希林, 马弘. (1999). 心理卫生评定量表手册(增订版). 北京:中国心理卫生杂志社.

温忠麟, 叶宝娟. (2014). 有调节的中介模型检验方法:竞争还是替补.心理学报, 46(5), 714-726.

张中奎. (2015). 网站复杂度对消费者购买意愿的影响——基于认知负荷的中介效应(硕士学位论文). 中国科学技术大学,合肥.

中国互联网络信息中心. (2017). 《中国互联网络发展状况统计报告》. 来自http://cnnic.cn/hlwfzyj/hlwxzbg/hlwtjbg/201708/P020170807351923262153.pdf

周浩, 龙立荣. (2004). 共同方法偏差的统计检验与控制方法. 心理科学进展, 12(6), 942-950.
[1] 王玉龙, 赵婧斐, 蔺秀云. 家庭风险因素对青少年自伤的累积效应及其性别差异[J]. 心理发展与教育, 2024, 40(2): 240-247.
[2] 王艳辉, 沈梓锋, 赖雪芬. 父母心理控制与青少年外化问题行为的关系:意志控制和越轨同伴交往的链式中介作用[J]. 心理发展与教育, 2024, 40(2): 248-256.
[3] 肖嘉林, 梁凯欣, 黄柳玥, 王恩娜, 黄巧敏, 何韵涵, 卢宝琳, 迟新丽. 积极发展资源在减少青少年抑郁水平中的累积效应、关系模式及特定资源的作用[J]. 心理发展与教育, 2024, 40(2): 257-269.
[4] 魏华, 丁慧敏, 陈武, 郝兴风, 熊婕. 父母低头行为与青少年网络欺负的关系:压力的中介作用与年龄的调节作用[J]. 心理发展与教育, 2024, 40(1): 114-121.
[5] 邹盛奇, 伍新春. 父母冲突与青少年同伴依恋的关系:亲子依恋的中介作用及性别差异[J]. 心理发展与教育, 2023, 39(6): 798-807.
[6] 苑媛, 梁周健, 张丽. 结构性校园氛围与中学生抑郁:社会支持的中介作用和性别的调节作用[J]. 心理发展与教育, 2023, 39(6): 869-876.
[7] 彭海云, 盛靓, 邱凡硕, 周姿言, 辛素飞. 青少年心理减负从“无聊”开始——无聊倾向对青少年主观幸福感的影响机制[J]. 心理发展与教育, 2023, 39(6): 895-902.
[8] 何灿, 魏华, 丁倩, 桂勇. 父母工作性通信工具使用对粗暴养育的影响:焦虑抑郁的中介作用与主管支持感的调节作用[J]. 心理发展与教育, 2023, 39(6): 903-912.
[9] 刘庆, 冯兰. 父母婚姻质量和青少年同胞关系:教养方式的中介作用及其性别差异[J]. 心理发展与教育, 2023, 39(5): 654-662.
[10] 刘思含, 伍新春, 王歆逸. 父母教养方式的潜在类别及其与青少年学习投入和焦虑症状的关系[J]. 心理发展与教育, 2023, 39(5): 673-682.
[11] 沙晶莹, 张向葵, 刘千冬. 人以群分?学业动机比较对青少年同伴选择的影响[J]. 心理发展与教育, 2023, 39(5): 683-690.
[12] 张雯, 王振宏. 负性生活事件与青少年内化问题的关系:社会支持的中介作用和亲子亲和的调节作用[J]. 心理发展与教育, 2023, 39(5): 718-725.
[13] 洪新伟, 苗灵童, 范航, 宋明华, 朱婷婷, 刘燊, 张林. 父母婚姻冲突与青少年攻击行为的关系:情绪安全感和学校联结的作用[J]. 心理发展与教育, 2023, 39(5): 726-734.
[14] 王玉龙, 苏慧娟, 蔺秀云. 青少年自伤的分类:基于潜在剖面分析[J]. 心理发展与教育, 2023, 39(5): 735-742.
[15] 胡义豪, 徐璐妍, 卞小华, 周颖, 刘俊升. 同伴侵害与青少年抑郁的关系:班级攻击规范凸显性的调节作用[J]. 心理发展与教育, 2023, 39(4): 542-549.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!