青少年问题性社交网络使用的影响因素研究综述
Review of Factors Influencing Problematic Social Network Use in Adolescents
DOI: 10.12677/ap.2024.148583, PDF,   
作者: 宋行雨, 魏淑华*：济南大学教育与心理科学学院，山东 济南
关键词: 问题性社交网络使用；影响因素；青少年；Problematic Social Network Use； Influencing Factors； Teenagers
摘要: 问题性社交网络使用指个体因长时间和高强度使用社交网络，导致进一步不可控制地在社交网络中投入时间和精力，并带来以心理苦恼和生理不适反应为特征的消极后果。它引起的健康问题与社会问题已成为社会各界关注的焦点之一。由于青少年问题性社交网络使用的严峻形势，国内外越来越多的研究者开展了关于问题性社交网络使用影响因素的探究，包括影响因素的前因变量和结果变量的研究。对青少年问题性社交网络使用的影响因素进行梳理和综述，可为教育者采取有针对性的措施预防和干预青少年问题性社交网络使用，提供参考依据。
Abstract: Problematic Social Network Use (PSNU) refers to the individual’s prolonged and intense use of social networks, resulting in further uncontrollable investment of time and energy into social networks, accompanied by negative consequences characterized by psychological distress and physical discomfort. The health and social issues it causes have become a major concern for all sectors of society. Due to the severe situation of PSNU among teenagers, an increasing number of researchers both domestically and internationally have conducted research into the factors influencing problematic social network use, including studies on the antecedent and outcome variables of these factors. Reviewing and summarizing the influencing factors of PSNU among adolescents can provide educators with a reference for taking targeted measures to prevent and intervene in this issue.
文章引用：宋行雨, 魏淑华 (2024). 青少年问题性社交网络使用的影响因素研究综述. 心理学进展, 14(8), 566-577. https://doi.org/10.12677/ap.2024.148583

参考文献

[1] 安容瑾, 姜永志, 白晓丽(2020). 青少年社交网络使用与孤独感的关系: 在线积极反馈与积极情绪的多重中介. 中国临床心理学杂志, 28(4), 824-828, 833.
[2] 陈必忠, 郑雪(2019). 大五人格与大学生社交媒体自我控制失败: 错失恐惧的作用. 应用心理学, 25(2), 161-168.
[3] 楚啸原, 龙杰, 雷雳(2020). 社交焦虑与网络游戏过度使用: 自我补偿动机的中介作用和外倾性的调节作用. 心理科学, 43(4), 943-949.
[4] 岡安孝弘(2016). インターネット依存の心理社会的影響およびリスク要因に関する研究の動向. 明治大学心理社会学研究, (11), 23-45.
[5] 高文斌, 陈祉妍(2006). 网络成瘾病理心理机制及综合心理干预研究. 心理科学进展, 14(4), 596-603.
[6] 黄金娇, 叶佩琪, 魏倩, 吕萍萍, 石宇阳, 史慧静(2023). 不同类型屏幕时间与3~6岁儿童心理行为发育问题的相关性. 中国学校卫生, 44(12), 1833-1838.
[7] 季益富, 于欣(1999). 自尊量表. 中国心理卫生杂志, (12), 318-320.
[8] 贾丽媛, 黄雪雪, 薛艳妮, 胡婕, 张至贤, 李丹琳, 张诗晨, 等(2022). 中学生心理健康素养及童年期虐待与饮酒行为的关联. 中国学校卫生, 43(5), 648-652.
[9] 江莹, 苗嘉鑫, 王敬欣(2023). 中职生网络游戏成瘾的潜在剖面分析及其与自我控制的关系. 心理学进展, 13(4), 1488-1495.
[10] 姜永志, 白晓丽, 阿拉坦, 巴根, 刘勇, 李敏, 刘桂芹(2016). 青少年问题性社交网络使用. 心理科学进展, 24(9), 1435-1447.
[11] 姜永志, 白晓丽, 刘勇(2017). 青少年移动社交网络使用动机调查. 中国青年社会科学, 36(1), 88-94.
[12] 姜永志, 白晓丽, 七十三(2020). 青少年神经质人格与社交媒体错失恐惧的关系: 社交焦虑的中介作用. 中国临床心理学杂志, 28(5), 1029-1032, 1001.
[13] 姜永志, 金荣(2018). 人格特质对青少年移动社交网络使用的影响: 性别的调节作用. 贵州师范大学学报: 自然科学版, 36(5), 109-114.
[14] 姜永志, 金童林(2018). 自恋人格与青少年问题性移动社交网络使用的关系: 遗漏焦虑和积极自我呈现的作用. 中国特殊教育, (11), 64-70.
[15] 李巾英, 马林(2019). 被动性社交网站使用与错失焦虑症: 压力知觉的中介与乐观的调节. 心理科学, 42(4), 949-955.
[16] 李笑燃, 姜永志, 张斌(2018). 孤独感对青少年问题性移动社交网络使用的影响: 人际困扰和积极自我呈现的作用. 心理科学, 41(5), 1117-1123.
[17] 廖慧云, 钟云辉, 王冉冉, 唐宏(2016). 大学生手机成瘾倾向, 自尊及羞怯与人际关系困扰的关系. 中国临床心理学杂志, 24(5), 852-855.
[18] 刘勤学, 方晓义, 周楠(2011). 青少年网络成瘾研究现状及未来展望. 华南师范大学学报: 社会科学版, (3), 65-70.
[19] 刘致宏, 张珊珊, 吴涵玉(2022). 问题性社交网络使用与大学生线上社交焦虑和抑郁症状的关联. 中国学校卫生, 43(11), 1699-1703.
[20] 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.
[21] 施巍松, 张星洲, 王一帆, 张庆阳(2019). 边缘计算: 现状与展望. 计算机研究与发展, 56(1), 69-89.
[22] 孙深彦. (2014). 对中职学生网络沉迷问题的思考. 现代教育, (2), 112-112.
[23] 滕雄程, 雷辉, 李景萱, 文峥(2021). 大学生社交焦虑对社交网络成瘾的影响: 意向性自我调节的调节效应. 中国临床心理学杂志, 29(3), 514-517.
[24] 王泓懿, 张珊珊(2023). 问题性社交网络使用对抑郁情绪的影响: 基于潜在剖面分析. 中国健康心理学杂志, 31(10), 1588-1594.
[25] 王卉卉(2019). 青少年同伴关系与错失恐惧, 病理性网络使用的关系及干预研究. 硕士学位论文, 武汉: 华中师范大学.
[26] 王秋英(1998). 家庭养育方式与中学生心理健康水平的相关研究. 中国心理卫生杂志, 12(5), 21-22.
[27] 谢坤语(2005). 关于加强大学生网络思想教育的对策. 湖南科技学院学报, 26(9), 268-270.
[28] 徐碧波, 谢涵, 林崇德, 吴鹏(2018). 中国青少年互联网心理与行为研究及展望. 心理发展与教育, 34(3), 377-384.
[29] 闫峥, 吴宸梓, 冯伟, 王子龙(2016). 可信普适社交网络研究综述和展望. 网络与信息安全学报, 2(2), 30-40.
[30] 杨慧芳, 刘金花(2003). 高自控与低自控儿童的控制归因, 自控期望比较研究. 心理发展与教育, 19(3), 6-11.
[31] 殷俊凤, & 解昌国. (2015). 网络成瘾青少年家庭环境与应对方式的相关性. 中国健康心理学杂志, 23(2), 229-232.
[32] 张春良(2015). 体育协会内部治理的法治度评估——以中国足协争端解决机制为样本的实证考察. 体育科学, 35(7), 18-26, 57.
[33] 张静, 常逢锦, 黄丹媚, 温祥(2021). 神经质人格与青少年问题性移动社交网络使用的关系: 焦虑情绪与积极自我呈现的链式中介作用. 中国临床心理学杂志, 29(3), 598-602.
[34] 张晓强, 邱芬(2019). 体育锻炼对青少年攻击性的影响——基于应对方式与心理弹性的链式中介作用. 哈尔滨体育学院学报, 37(5), 85-91.
[35] 周健锋, 方杰(2021). 社交网站支持对大学生社交网站成瘾的影响: 有调节的中介模型. 心理技术与应用, 9(5), 293-299.
[36] 朱键军, 张卫, 喻承甫, 周莎莎, 孙国健, 甄霜菊(2015). 学校氛围和青少年病理性网络游戏使用的关系: 有调节的中介模型. 心理发展与教育, 31(2), 246-256.
[37] 朱颖贤, 梁俏, 喻承甫, 张卫(2019). 不良同伴交往、意向性自我调节与初中生网络游戏成瘾: 师生关系的调节作用.第二十二届全国心理学学术会议摘要集(pp. 223-224). 华南师范大学心理学院, 广州大学教育学院.
[38] An, Z., Huang, R., Zhang, R., Tie, X., Li, G., Cao, J. et al. (2019). Severe Haze in Northern China: A Synergy of Anthropogenic Emissions and Atmospheric Processes. Proceedings of the National Academy of Sciences of the United States of America, 116, 8657-8666.[CrossRef] [PubMed]
[39] Andreassen, C. S., Nielsen, M. B., Pallesen, S., & Gjerstad, J. (2019). The Relationship between Psychosocial Work Variables and Workaholism: Findings from a Nationally Representative Survey. International Journal of Stress Management, 26, 1-10.[CrossRef] 
[40] Arikewuyo, A. O., Lasisi, T. T., Abdulbaqi, S. S., Omoloso, A. I., & Arikewuyo, H. O. (2022). Evaluating the Use of Social Media in Escalating Conflicts in Romantic Relationships. Journal of Public Affairs, 22, e2331.[CrossRef] 
[41] Awan, S., Diwan, M. N., Aamir, A., Allahuddin, Z., Irfan, M., Carano, A. et al. (2022). Suicide in Healthcare Workers: Determinants, Challenges, and the Impact of COVID-19. Frontiers in Psychiatry, 12, Article 792925.[CrossRef] [PubMed]
[42] Błachnio, A., Przepiorka, A., & Pantic, I. (2016). Association between Facebook Addiction, Self-Esteem and Life Satisfaction: A Cross-Sectional Study. Computers in Human Behavior, 55, 701-705.[CrossRef] 
[43] Blackwell, D., Leaman, C., Tramposch, R., Osborne, C., & Liss, M. (2017). Extraversion, Neuroticism, Attachment Style and Fear of Missing Out as Predictors of Social Media Use and Addiction. Personality and Individual Differences, 116, 69-72.[CrossRef] 
[44] Bronfenbrenner, U., & Evans, G. W. (2000). Developmental Science in the 21st Century: Emerging Questions, Theoretical Models, Research Designs and Empirical Findings. Social Development, 9, 115-125.[CrossRef] 
[45] Chang, F., Chen, H., Chen, P., Ho, M., Hsieh, S., Lin, J. et al. (2020). Immunologic Aspects of Characteristics, Diagnosis, and Treatment of Coronavirus Disease 2019 (COVID-19). Journal of Biomedical Science, 27, Article No. 72.[CrossRef] [PubMed]
[46] Davis, P. M. (2002). The Effect of the Web on Undergraduate Citation Behavior: A 2000 Update. College & Research Libraries, 63, 53-60.[CrossRef] 
[47] Dempsey, A. E., O’Brien, K. D., Tiamiyu, M. F., & Elhai, J. D. (2019). Fear of Missing Out (FoMO) and Rumination Mediate Relations between Social Anxiety and Problematic Facebook Use. Addictive Behaviors Reports, 9, Article ID: 100150.[CrossRef] [PubMed]
[48] Duvenage, M., Correia, H., Uink, B., Barber, B. L., Donovan, C. L., & Modecki, K. L. (2020). Technology Can Sting When Reality Bites: Adolescents’ Frequent Online Coping Is Ineffective with Momentary Stress. Computers in Human Behavior, 102, 248-259.[CrossRef] 
[49] El Abiddine, F. Z., Aljaberi, M. A., Gadelrab, H. F., Lin, C., & Muhammed, A. (2022). Mediated Effects of Insomnia in the Association between Problematic Social Media Use and Subjective Well-Being among University Students during COVID-19 Pandemic. Sleep Epidemiology, 2, Article ID: 100030.[CrossRef] [PubMed]
[50] Evans, J. S. B. T., & Stanovich, K. E. (2013). Dual-process Theories of Higher Cognition: Advancing the Debate. Perspectives on Psychological Science, 8, 223-241.[CrossRef] [PubMed]
[51] Feinstein, J. S., Buzza, C., Hurlemann, R., Follmer, R. L., Dahdaleh, N. S., Coryell, W. H. et al. (2013). Fear and Panic in Humans with Bilateral Amygdala Damage. Nature Neuroscience, 16, 270-272.[CrossRef] [PubMed]
[52] Ferreira, D. G., Temido-Ferreira, M., Vicente Miranda, H., Batalha, V. L., Coelho, J. E., Szegö, É. M. et al. (2017). α-Synuclein Interacts with PrPC to Induce Cognitive Impairment through mGluR5 and NMDAR2B. Nature Neuroscience, 20, 1569-1579.[CrossRef] [PubMed]
[53] Hawi, N. S., & Samaha, M. (2017). The Relations among Social Media Addiction, Self-Esteem, and Life Satisfaction in University Students. Social Science Computer Review, 35, 576-586.[CrossRef] 
[54] Hawi, N. S., Samaha, M., & Griffiths, M. D. (2018). Internet Gaming Disorder in Lebanon: Relationships with Age, Sleep Habits, and Academic Achievement. Journal of Behavioral Addictions, 7, 70-78.[CrossRef] [PubMed]
[55] Hung, I. F., Cheng, V. C., Li, X., Tam, A. R., Hung, D. L., Chiu, K. H. et al. (2020). SARS-CoV-2 Shedding and Seroconversion among Passengers Quarantined after Disembarking a Cruise Ship: A Case Series. The Lancet Infectious Diseases, 20, 1051-1060.[CrossRef] [PubMed]
[56] Iannone, N. E., McCarty, M. K., Branch, S. E., & Kelly, J. R. (2018). Connecting in the Twitterverse: Using Twitter to Satisfy Unmet Belonging Needs. The Journal of Social Psychology, 158, 491-495.[CrossRef] [PubMed]
[57] Kuss, D. J., & Griffiths, M. D. (2012). Internet Gaming Addiction: A Systematic Review of Empirical Research. International Journal of Mental Health and Addiction, 10, 278-296.[CrossRef] 
[58] Laconi, S., Rodgers, R. F., & Chabrol, H. (2014). The Measurement of Internet Addiction: A Critical Review of Existing Scales and Their Psychometric Properties. Computers in Human Behavior, 41, 190-202.[CrossRef] 
[59] Laconi, S., Vigouroux, M., Lafuente, C., & Chabrol, H. (2017). Problematic Internet Use, Psychopathology, Personality, Defense and Coping. Computers in Human Behavior, 73, 47-54.[CrossRef] 
[60] Lee-Won, R. J., Herzog, L., & Park, S. G. (2015). Hooked on Facebook: The Role of Social Anxiety and Need for Social Assurance in Problematic Use of Facebook. Cyberpsychology, Behavior, and Social Networking, 18, 567-574.[CrossRef] [PubMed]
[61] Lemola, S., Perkinson-Gloor, N., Brand, S., Dewald-Kaufmann, J. F., & Grob, A. (2015). Adolescents’ Electronic Media Use at Night, Sleep Disturbance, and Depressive Symptoms in the Smartphone Age. Journal of Youth and Adolescence, 44, 405-418.[CrossRef] [PubMed]
[62] Lester, D., Hvezda, J., Sullivan, S., & Plourde, R. (1983). Maslow’s Hierarchy of Needs and Psychological Health. The Journal of General Psychology, 109, 83-85.[CrossRef] [PubMed]
[63] Liu, R. T., Walsh, R. F. L., Sheehan, A. E., Cheek, S. M., & Sanzari, C. M. (2022). Prevalence and Correlates of Suicide and Nonsuicidal Self-Injury in Children: A Systematic Review and Meta-Analysis. JAMA Psychiatry, 79, 718-726.[CrossRef] [PubMed]
[64] Mak, K. K., Scheer, B., Yeh, C., Ohno, S., & Nam, J. K. (2021). Associations of Personality Traits with Internet Addiction: A Cross-Cultural Meta-Analysis with a Multilingual Approach. Cyberpsychology, Behavior, and Social Networking, 24, 777-798.[CrossRef] [PubMed]
[65] Montag, C., Jurkiewicz, M., & Reuter, M. (2010). Low Self-Directedness Is a Better Predictor for Problematic Internet Use than High Neuroticism. Computers in Human Behavior, 26, 1531-1535.[CrossRef] 
[66] Morahan-Martin, J., & Schumacher, P. (2000). Incidence and Correlates of Pathological Internet Use among College Students. Computers in Human Behavior, 16, 13-29.[CrossRef] 
[67] Pelling, E. L., & White, K. M. (2009). The Theory of Planned Behavior Applied to Young People’s Use of Social Networking Web Sites. CyberPsychology & Behavior, 12, 755-759.[CrossRef] [PubMed]
[68] Przepiorka, W., Bouman, L., & de Kwaadsteniet, E. W. (2021). The Emergence of Conventions in the Repeated Volunteer’s Dilemma: The Role of Social Value Orientation, Payoff Asymmetries and Focal Points. Social Science Research, 93, Article ID: 102488.[CrossRef] [PubMed]
[69] Quaglieri, A., Mari, E., Boccia, M., Piccardi, L., Guariglia, C., & Giannini, A. M. (2020). Brain Network Underlying Executive Functions in Gambling and Alcohol Use Disorders: An Activation Likelihood Estimation Meta-Analysis of fMRI Studies. Brain Sciences, 10, Article 353.[CrossRef] [PubMed]
[70] Ryan, R. M., & Deci, E. L. (2000). Intrinsic and Extrinsic Motivations: Classic Definitions and New Directions. Contemporary Educational Psychology, 25, 54-67.[CrossRef] [PubMed]
[71] Salehi, Z., Pasha, H., Hosseini, S. R., Kheirkhah, F., & Bijani, A. (2023). The Impact of Social Support, Physical and Psychological Performance on Sleep Outcomes in Iranian Older Adults: A Case-Control Study. BMC Geriatrics, 23, Article No. 791.[CrossRef] [PubMed]
[72] Schmuck, P., & Chli, M. (2019). CCM‐SLAM: Robust and Efficient Centralized Collaborative Monocular Simultaneous Localization and Mapping for Robotic Teams. Journal of Field Robotics, 36, 763-781.[CrossRef] 
[73] Seth, S., & Eugster, M. J. A. (2016). Probabilistic Archetypal Analysis. Machine Learning, 102, 85-113.[CrossRef] 
[74] Shahreki, J., & Lee, J. Y. (2024). Adopting Human Resource Information System and Work-Related Outcomes in Emerging Market SMEs: Unified Theory of Acceptance and Use of Technology. Cross Cultural & Strategic Management, 31, 116-142.[CrossRef] 
[75] Smith, A. R., Hames, J. L., & Joiner, T. E. (2013). Status Update: Maladaptive Facebook Usage Predicts Increases in Body Dissatisfaction and Bulimic Symptoms. Journal of Affective Disorders, 149, 235-240.[CrossRef] [PubMed]
[76] Steinfield, C., Ellison, N. B., & Lampe, C. (2008). Social Capital, Self-Esteem, and Use of Online Social Network Sites: A Longitudinal Analysis. Journal of Applied Developmental Psychology, 29, 434-445.[CrossRef] 
[77] Stockdale, L. A., & Coyne, S. M. (2020). Bored and Online: Reasons for Using Social Media, Problematic Social Networking Site Use, and Behavioral Outcomes across the Transition from Adolescence to Emerging Adulthood. Journal of Adolescence, 79, 173-183.[CrossRef] [PubMed]
[78] Tang, D., Wei, F., Qin, B., Liu, T., & Zhou, M. (2014). Coooolll: A Deep Learning System for Twitter Sentiment Classification. In Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014) (pp. 208-212). Association for Computational Linguistics.[CrossRef] 
[79] Volkow, N. D., Fowler, J. S., & Wang, G. (2003). The Addicted Human Brain: Insights from Imaging Studies. Journal of Clinical Investigation, 111, 1444-1451.[CrossRef] [PubMed]
[80] Vorderer, P., Krömer, N., & Schneider, F. M. (2016). Permanently Online—Permanently Connected: Explorations into University Students’ Use of Social Media and Mobile Smart Devices. Computers in Human Behavior, 63, 694-703.[CrossRef] 
[81] Wang, X., Wang, H., Wang, J., Sun, R., Wu, J., Liu, S. et al. (2011). The Genome of the Mesopolyploid Crop Species Brassica Rapa. Nature Genetics, 43, 1035-1039.[CrossRef] [PubMed]
[82] Weinstein, A., Maayan, G., & Weinstein, Y. (2015). A Study on the Relationship between Compulsive Exercise, Depression and Anxiety. Journal of Behavioral Addictions, 4, 315-318.[CrossRef] [PubMed]
[83] Wilson, K., Fornasier, S., & White, K. M. (2010). Psychological Predictors of Young Adults’ Use of Social Networking Sites. Cyberpsychology, Behavior, and Social Networking, 13, 173-177.[CrossRef] [PubMed]
[84] Wright, A. G. C., Krueger, R. F., Hobbs, M. J., Markon, K. E., Eaton, N. R., & Slade, T. (2013). The Structure of Psychopathology: Toward an Expanded Quantitative Empirical Model. Journal of Abnormal Psychology, 122, 281-294.[CrossRef] [PubMed]
[85] Xanidis, N., & Brignell, C. M. (2016). The Association between the Use of Social Network Sites, Sleep Quality and Cognitive Function during the Day. Computers in Human Behavior, 55, 121-126.[CrossRef] 
[86] Young, K. S., & Rogers, R. C. (1998). The Relationship between Depression and Internet Addiction. CyberPsychology & Behavior, 1, 25-28.[CrossRef]