|
|
社交媒体外貌意识对女性自我客体化与饮食失调的影响——一项网络分析研究
|
Abstract:
目的：探讨社交媒体外貌意识、自我客体化、饮食失调三者的症状网络关系，识别网络中的中心症状和桥梁症状，为进一步减少复杂精神障碍发生提供干预靶点参考。方法：对国内1186名年轻女性进行问卷调查，运用基于R语言的网络分析方法，构建社交媒体外貌意识、自我客体化与饮食失调的网络模型，并检验网络稳定性和准确性。结果：对体重和身材的过度关注是中国年轻女性群体社交媒体外貌意识–自我客体化–饮食失调网络模型的关键中心症状。而自我客体化症状，尤其是重视外表而忽视身体感受，成为网络中的关键桥梁症状，连接了三个症状群体。结论：本研究揭示了“过度重视体重”可能对社交媒体外貌意识、自我客体化和饮食失调的共同发生起到最为关键的维持和发展作用，而自我客体化可能成为连接社交媒体外貌意识和饮食失调的关键纽带。针对性的干预可能有助于减少女性同时发展出社交媒体外貌意识、自我客体化和饮食失调的风险，降低个体发展出复杂的精神障碍的可能。
Purpose: To explore the symptomatic network relationships among appearance-related social media consciousness, self-objectification, and disordered eating, and to identify central symptoms and bridge symptoms in the network, providing intervention target references for further reducing the occurrence of complex mental disorders. Methods: A questionnaire survey was conducted on 1186 young women in China. Network analysis methods based on R language were employed to construct a network model of appearance-related social media consciousness, self-objectification, and disordered eating. Network stability and accuracy were also tested. Results: Overvaluation of weight and shape emerged as the key central symptom in the entire network mode. Self-objectification symptoms, especially value appearance over body feelings, emerged as critical bridge symptoms connecting the three symptom groups. Conclusion: This study reveals that “overvaluation of weight” may play a crucial role in the maintenance and development of the co-occurrence of social media appearance consciousness, self-objectification, and disordered eating. Self-objectification may serve as a key link connecting social media appearance consciousness and disordered eating. Targeted interventions may help reduce the risk of women simultaneously developing appearance-related social media consciousness, self-objectification, and eating disorders, thereby decreasing the likelihood of individuals developing complex mental disorders.
| [1] | 千瓜数据. 2022年千瓜活跃用户画像趋势报告(小红书平台) [R/OL]. 2022-03-29.
https://www.qian-gua.com/blog/detail/1591.html, 2023-06-25. |
| [2] | Choukas-Bradley, S., Nesi, J., Widman, L. and Galla, B.M. (2020) The Appearance-Related Social Media Consciousness Scale？: Development and Validation with Adolescents. Body Image, 33, 164-174.
https://doi.org/10.1016/j.bodyim.2020.02.017 |
| [3] | Fredrickson, B.L. and Roberts, T.A. (1997) Objectification Theory: Toward Understanding Women’s Lived Experiences and Mental Health Risks. Psychology of Women Quarterly, 21, 173-206.
https://doi.org/10.1111/j.1471-6402.1997.tb00108.x |
| [4] | Tiggemann, M. and Kuring, J.K. (2004) The Role of Body Objectification in Disordered Eating and Depressed Mood. British Journal of Clinical Psychology, 43, 299-311. https://doi.org/10.1348/0144665031752925 |
| [5] | Borsboom, D. (2017) A Network Theory of Mental Disorders. World Psychiatry, 16, 5-13.
https://doi.org/10.1002/wps.20375 |
| [6] | Cramer, A.O.J., Waldorp, L.J., Van Der Maas, H.L.J. and Borsboom, D. (2010) Comorbidity: A Network Perspective. Behavioral and Brain Sciences, 33, 137-150. https://doi.org/10.1017/S0140525X09991567 |
| [7] | 古练. 进食障碍检查自评问卷6.0 (EDE-Q6.0)中文版的信效度分析及在临床应用的研究[D]: [硕士学位论文]. 上海: 上海交通大学, 2016. |
| [8] | 古练, 陈珏, 黄悦, 等. 进食障碍检查自评问卷6.0中文版在女性进食障碍患者中应用的效度和信度[J]. 中国心理卫生杂志, 2017, 31(5): 350-355. |
| [9] | 黄明明, 彭香萍, 郭莉萍. 社交媒体外貌意识量表中文版测评青少年的效度和信度[J]. 中国临床心理学杂志, 2023, 31(4): 875-878. |
| [10] | Jackson, T. and Chen, H. (2015) Features of Objectified Body Consciousness and Sociocultural Perspectives as Risk Factors for Disordered Eating among Late-Adolescent Women and Men. Journal of Counseling Psychology, 62, 741-752. https://doi.org/10.1037/cou0000096 |
| [11] | Jackson, T., Cai, L. and Chen, H. (2020) Asian versus Western Appearance Media Influences and Changes in Body Image Concerns of Young Chinese Women: A 12-Month Prospective Study. Body Image, 33, 214-221.
https://doi.org/10.1016/j.bodyim.2020.03.008 |
| [12] | Epskamp, S., Cramer, A.O.J., Waldorp, L.J., Schmittmann, V.D. and Borsboom, D. (2012) Qgraph: Network Visualizations of Relationships in Psychometric Data. Journal of Statistical Software, 48, 1-18.
https://doi.org/10.18637/jss.v048.i04 |
| [13] | Briganti, G., Scutari, M. and McNally, R.J. (2022) A Tutorial on Bayesian Networks for Psychopathology Researchers. Psychological Methods, 28, 947-961. https://doi.org/10.31234/osf.io/h4vxa |
| [14] | Foygel, R. and Drton, M. (2010) Extended Bayesian Information Criteria for Gaussian Graphical Models. 24th Annual Conference on Neural Information Processing Systems 2010, Vancouver, 6-9 December 2010, 1-9. |
| [15] | Isvoranu, A.M., Borsboom, D., Van Os, J. and Guloksuz, S. (2016) A Network Approach to Environmental Impact in Psychotic Disorder: Brief Theoretical Framework. Schizophrenia Bulletin, 42, 870-873.
https://doi.org/10.1093/schbul/sbw049 |
| [16] | Tools, T., Nodes, I.I., Version, N., Includes, D., Gpl-, L., Utf-, E., Rox-ygennote, R., Jones, A.P., Jones, M.P. and Date, R.C. (2018) Package “Networktools”. |
| [17] | Jones, P.J., Mair, P. and McNally, R.J. (2018) Visualizing Psychological Networks: A Tutorial in R. Frontiers in Psychology, 9, Article No. 1742. https://doi.org/10.3389/fpsyg.2018.01742 |
| [18] | Epskamp, S., Borsboom, D. and Fried, E.I. (2018) Estimating Psychological Networks and Their Accuracy: A Tutorial Paper. Behavior Research Methods, 50, 195-212. https://doi.org/10.3758/s13428-017-0862-1 |
| [19] | Monteleone, A.M. (2021) A Systematic Review of Network Analysis Studies in Eating Disorders: Is Time to Broaden the Core Psychopathology to Non-Specific Symptoms. European Eating Disorders Review, 29, 531-547.
https://doi.org/10.1002/erv.2834 |
| [20] | Register, J.D., Katrevich, A.V., Aruguete, M.A.S. and Edman, J.L. (2015) Ef-fects of Self-Objectification on Self-Reported Eating Pathology and Depression. American Journal of Psychology, 128, 107-113.
https://doi.org/10.5406/amerjpsyc.128.1.0107 |
| [21] | Prichard, I., McLachlan, A.C., Lavis, T. and Tiggemann, M. (2018) The Impact of Different Forms of #fitspiration Imagery on Body Image, Mood, and Self-Objectification among Young Women. Sex Roles, 78, 789-798.
https://doi.org/10.1007/s11199-017-0830-3 |
