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开放科学(资源服务)标志码(OSID):
The Impact of Online Appearance-related Peer Conversation on Female College Students' Cosmetic Surgery Consideration: The Serial Mediation of Self-objectification and Facial Dissatisfaction
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摘要: 为探讨线上外貌相关的同伴谈话对女大学生整容意愿的影响及其作用机制,基于客体化理论和整容意愿的三因素模型,采用线上外貌相关的同伴谈话问卷、整容手术接纳量表、身体意识客体化量表以及相貌不满意量表对443名女大学生进行调查. 结果表明:①线上外貌相关的同伴谈话能直接预测整容意愿;②线上外貌相关的同伴谈话可以通过自我客体化、相貌不满意的中介作用对整容意愿进行间接预测,同时还可通过自我客体化→相貌不满意的链式中介作用对整容意愿产生影响. 该研究进一步揭示了女大学生整容意愿的影响因素及其社会心理机制,为干预和预防女大学生整容意愿提供了理论指导.
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关键词:
- 整容意愿 /
- 线上外貌相关的同伴谈话 /
- 自我客体化 /
- 相貌不满意 /
- 女大学生
Abstract: In order to examine the relationship between the online appearance-related peer conversation and female college students' cosmetic surgery consideration, as well as its underlying mechanism. A total of 433 female college students were recruited to complete a list of questionnaires regarding the online appearance-related peer conversation, cosmetic surgery consideration, self-objectification and facial dissatisfaction. The results showed that the online appearance-related peer conversation could directly predict the cosmetic surgery consideration of the participants, and could indirectly predict cosmetic surgery consideration by separate mediation effect of self-objectification and facial dissatisfaction. At the same time, it also could influence cosmetic surgery consideration by serial mediation effect of self-objectification and facial dissatisfaction. This study is helpful to further understand the influencing factors and social-psychological mechanisms of female college students' cosmetic surgery consideration and provides a theoretical basis for interfering and preventing the female college students' cosmetic surgery consideration. -
表 1 描述性统计结果和变量间的相关分析(N=443)
变量 M SD 范围 1 2 3 4 5 6 1年龄 19.97 1.07 16~25岁 1 2社交媒体使用强度 22.41 3.50 11~30 0.08 1 3线上外貌相关的同伴谈话 9.75 4.80 0~24 0.12** 0.30*** 1 4自我客体化 32.92 6.74 12~55 0.07 0.30*** 0.38*** 1 5相貌不满意 1.21 0.66 0~3.18 0.003 0.17*** 0.29*** 0.47*** 1 6整容意愿 12.76 7.64 0~30 0.05 0.13** 0.36*** 0.43*** 0.45*** 1 注:**代表p<0. 01水平上有统计学意义,***代表p<0. 001水平上有统计学意义. 表 2 各变量间关系的回归分析
回归方程 整体拟合指数 回归系数显著性 结果变量 预测变量 R R2 F β Bootstrap下限 Bootstrap上限 t 整容意愿 0.36 0.13*** 社交媒体使用强度 0.03 -0.06 0.12 0.60 线上外貌相关的同伴谈话 0.35 0.26 0.45 7.69*** 自我客体化 0.43 0.19*** 48.57 社交媒体使用强度 0.21 0.11 0.30 4.12*** 线上外貌相关的同伴谈话 0.32 0.23 0.41 7.06*** 相貌不满意 0.48 0.23*** 41.40 社交媒体使用强度 0.003 -0.09 0.09 0.06 线上外貌相关的同伴谈话 0.12 0.03 0.22 2.78** 自我客体化 0.42 0.32 0.52 8.49*** 整容意愿 0.55 0.30*** 51.11 社交媒体使用强度 -0.04 -0.13 0.04 -1.08 线上外貌相关的同伴谈话 0.20 0.11 0.30 4.25*** 自我客体化 0.23 0.12 0.33 4.07** 相貌不满意 0.30 0.20 0.39 6.22*** 注:* 代表p<0.05水平上有统计学意义;** 代表p<0.01水平上有统计学意义;*** 代表p<0.001水平上有统计学意义. 表 3 中介效应检验(n=443)
间接效应值 Bootstrap SE Boot CI下限 Boot CI上限 相对中介效应/% 总间接效应 0.15 0.03 0.10 0.20 42.26 间接效应1 0.07 0.02 0.04 0.12 20.59 间接效应2 0.04 0.01 0.02 0.06 11.37 间接效应3 0.04 0.02 0.01 0.07 10.30 注:Boot SE、Boot CI下限和Boot CI上限分别指通过偏差矫正的百分位Bootstrap法估计的间接效应的标准误差、95%置信区间的下限和上限. -
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