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陈丽君, 蒋销柳, 苏文亮. 性感觉寻求、第三人效应和性别对大学生网络色情活动影响[J]. 中国公共卫生, 2019, 35(11): 1552-1556. DOI: 10.11847/zgggws1119696
引用本文: 陈丽君, 蒋销柳, 苏文亮. 性感觉寻求、第三人效应和性别对大学生网络色情活动影响[J]. 中国公共卫生, 2019, 35(11): 1552-1556. DOI: 10.11847/zgggws1119696
Li-jun CHEN, Xiao-liu JIANG, Wen-liang SU. Effect of sexual sensation seeking, the third person effect and gender on online sexual activity among university students[J]. Chinese Journal of Public Health, 2019, 35(11): 1552-1556. DOI: 10.11847/zgggws1119696
Citation: Li-jun CHEN, Xiao-liu JIANG, Wen-liang SU. Effect of sexual sensation seeking, the third person effect and gender on online sexual activity among university students[J]. Chinese Journal of Public Health, 2019, 35(11): 1552-1556. DOI: 10.11847/zgggws1119696

性感觉寻求、第三人效应和性别对大学生网络色情活动影响

Effect of sexual sensation seeking, the third person effect and gender on online sexual activity among university students

  • 摘要:
      目的  了解我国大学生网络色情活动的现状,并探讨性感觉寻求、第三人效应和性别对网络色情活动的影响,了解网络色情活动的预测因素及在何种条件下起作用。
      方法  2016年9 — 12月采用整群抽样方法抽取福建省6所高校808名大学生进行网络色情活动问卷(OSA)、性感觉寻求量表(SSSS)和第三人效应调查。
      结果  79.58 %(643/808)的大学生报告最起码体验过1种网络色情活动,男生网络色情活动总平均频率明显高于女生(1.92 ± 1.04 vs 1.38 ± 0.65,F = 70.88,d = 0.63,P < 0.001)。性感觉寻求对网络色情活动有显著的预测作用,且会受到大众传媒中第三人效应的调节,整体调节模型拟合指标为 χ2 = 257.75,df = 33,CFI = 0.93,TLI = 0.89,AIC = 18 128.07,BIC = 18 292.38,RMSEA = 0.092(95 % CI = 0.082~0.102),各指标在可接受范围内。第三人效应的调节作用体现在:对于高第三人效应的大学生,性感觉寻求对网络色情活动有显著的预测作用,β = 0.82(t = 5.26,P < 0.001);而对于低第三人效应的被试,性感觉寻求的预测作用不显著,β = 0.09(t = 1.17,P > 0.05)。多群组分析显示调节模型的路径系数在男女生群体存在差异,即整体模型受性别的调节,具体表现为第三人效应对网络色情活动的预测系数及与性感觉寻求二者的交互作用上女生显著高于男生。
      结论  我国大学生普遍有网络色情活动经历,性感觉寻求对大学生网络色情行为的作用受第三人效应的调节,且调节效应因性别而异。

     

    Abstract:
      Objective  To examine the status quo of online sexual activities (OSAs) and to explore predictive factors and the influence of sexual sensation seeking (SSS), the third person effect (TPE) and gender on OSAs among college students in China.
      Methods  We conducted an on-line questionnaire survey among 808 students recruited with cluster random sampling at 6 universities in 3 cities of Fujian province between September and December 2016. Sexual Sensation Seeking Scale (SSSS), Questionnaire of Online Sexual Activities, and a self-designed scale for TPE were used in the survey.
      Results  Among all the students, 79.58% (643/808) reported experiencing at least one type of OSAs and the male students reported a higher frequency of all types of OSAs than the female students (1.92 ± 1.04 vs. 1.38 ± 0.65, F = 70.88, d = 0.63, P < 0.001). Structural equation model analysis revealed that SSS significantly predicted OSAs and the correlation between SSS and OSAs was moderated by TPE among the students. The fitting indexes for the established model were all within the acceptable range (χ2 = 257.75, df = 33, comparative-fit index CFI = 0.93, Tucker-Lewis index TLI = 0.89, Akaike information criterion AIC = 18 128.07, Bayesian information criterion BIC = 18 292.38, root mean square error of approximation RMSEA = 0.092 95% confidence interval: 0.082 – 0.102. Among the students scored with high TPE, SSS demonstrated a predictive effect on OSAs significantly (β = 0.82, t = 5.26; P < 0.001); but among the students scored with low TPE, the predictive effect of SSS on OSAs was not significant (β = – 0.09, t = 1.17; P > 0.05). Multi-group invariance test revealed a gender difference in path coefficients of the TPE moderating model and the moderating effect of TPE on the predictive effect of SSS on OSAs and the interaction between SSS and OSAs are significantly higher among the girl students than among the boy students.
      Conclusion  Among university students in Fujian province, China, online sexual activity is prevalent; the effect of sexual sensation seeking on online sexual activity is moderated by the third person effect and there is a gender difference in the moderating effect.

     

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