冲动性对青少年观看色情片的影响

余春艳; 廉启国; 钟向阳; 张家帅; 涂晓雯; 楼超华; 左霞云

doi:10.16835/j.cnki.1000-9817.2021.03.025

冲动性对青少年观看色情片的影响

doi: 10.16835/j.cnki.1000-9817.2021.03.025

1.
复旦大学生殖与发育研究院上海市计划生育科学研究所/国家卫生健康委员会计划生育药具重点实验室，上海 200237
2.
上海市静安区教育学院
3.
复旦大学公共卫生学院

基金项目:

上海市计划生育科学研究所青年创新基金 Q2018-1

国家卫生健康委员会计划生育药具重点实验室科技创新导向项目 CX2017-05

世界卫生组织项目 ERC0003027

详细信息

作者简介:
余春艳(1981-)，女，江苏南京人，博士，助理研究员，主要研究方向为青少年健康行为

通讯作者:
左霞云，E-mail：zuxiyu513@163.com

中图分类号: R 179 G 627.8 G 444
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- 文章访问数: 1091
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- 被引次数: 0
出版历程
- 收稿日期: 2020-10-12
- 修回日期: 2020-11-20
- 网络出版日期: 2021-04-20
- 刊出日期: 2021-03-25

Influence of impulsivity on adolescents' pornography use

1.
NHC Key Lab of Reproduction Regulation, Shanghai Institute of Planned Parenthood Research, Fudan University, Shanghai(200237), China

摘要

摘要: 目的通过全球小年龄研究(GEAS)上海研究点纵向调查数据分析冲动性特质对青少年观看色情片的影响，为青少年性健康促进提供依据。方法采用分层整群抽样方法选取上海市某区3所初中六至八年级1 512名学生，从2017—2020年进行3轮纵向数据收集。基线和随访的色情片观看情况及社会人口学相关信息由学生在平板电脑上自填。冲动性特质测量仅在2018年随访时通过Barratt冲动性量表纸质问卷获取。采用一般统计学描述、面板数据描述和混合线性模型进行分析。结果 3次调查中，32.7%的青少年(494名)有过看色情片的经历。男生的运动性冲动得分高于女生(16.33±3.25，15.66±2.93)，差异有统计学意义(t=4.13，P < 0.01)，无计划性冲动得分低于女生(22.83±5.21，23.65±5.11)，差异有统计学意义(t=-3.03，P < 0.01)。混合效应线性模型结果显示，冲动性总得分与色情片观看关联有统计学意义(β=0.001，P < 0.01)；冲动性各亚组分析中，高运动性冲动及高注意性冲动显著影响色情片观看(P值均 < 0.01)；女生、父母较多了解及学校有人关心的青少年较少观看色情片，而使用网络时间>3 h/d的青少年观看色情片的频率更高(P值均 < 0.01)。结论青少年观看色情片与冲动性特质具有稳定的关联。应针对这一年龄青少年进行合理疏导，使之具有在良莠不齐的媒体世界中明辨是非的能力。
- 冲动行为 /
- 精神卫生 /
- 性 /
- 色情作品 /
- 线性模型 /
- 青少年
Abstract: Objective To explore the influence of impulsive traits of adolescent on pornography use through the analysis of the Global Early Adolescent Study(GEAS) longitudinal survey data collected in Shanghai, and to provide evidence for adolescent sexual health promotion. Methods Totally 1 512 students from grades 6 to 8 in three middle schools in a district of Shanghai were selected for the present study by stratified cluster sampling method. Baseline and two-wave follow-up investigation were conducted between 2017 and 2020. Three waves of pornography use and social demographic information were collected using electronic questionnaire through tablets while impulsivity were tested only once during the follow-up in 2018 using the paper and pencil based Barratt Impulsivity Scale, version11 (BIS-11). General statistical description and panel data statistical description, as well as multilevel mixed effect linear model were used to do the analysis. Results About 32.7% (494) of the adolescents reported the experience of watching pornography in three-wave analysis. Boys were more impulsive than girls in the motor subscale (16.33±3.25, 15.66±2.93, t=4.13, P < 0.01) while girls were more impulsive than boys in the nonplanning subscale (23.65±5.11, 22.83±5.21, t=-3.03, P < 0.01). Mixed effect linear model result showed that impulsivity was correlated with pornography use(β=0.001, P < 0.01); higher impulsivity in motor and attention were correlated with more frequent pornography use(P < 0.01). Being female, perceived more parental awareness and perceived care from school adults would decrease the use of pornography while spent more than 3 hours on internet would increase the use of pornography (P < 0.01). Conclusion There are stable correlations between impulsivity and pornography use. It is urgent to equip young adolescents with the necessary ability to distinguish the good from the bad in the mass and internet media world.
- Impulsive behavior /
- Mental health /
- Sex /
- Erotica /
- Linear models /
- Adolescent

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表 1 不同性别青少年Barratt冲动性量表(BIS-11)总分及亚组得分比较(x±s)

Table 1. Comparisons on adolescents' BIS-11 total score and each sub-scale score (x±s)

性别	人数	冲动总得分	运动性冲动	注意性冲动	无计划性冲动
男	776	61.16±10.03	16.33±3.25	22.13±4.58	22.83±5.21
女	736	61.30±10.00	15.66±2.93	22.04±4.59	23.65±5.11
合计	1 512	61.19±10.04	16.00±3.12	22.07±4.60	23.21±5.17
t值		-0.25	4.13	0.38	-3.03
P值		0.80	< 0.01	0.70	< 0.01

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表 2 青少年色情片观看频率的重复测量影响因素个体相关性检验(n=1 512)

Table 2. Test for the effects of endogeneity for each time-varying covariate to adolescents' pornography use frequency (n=1 512)

个体间和个体内效应是否相等	模型1		模型2		模型3		模型4
个体间和个体内效应是否相等	β值	P值	β值	P值	β值	P值	β值	P值
β年龄(个体)=β年龄(标化)	0.009	0.007	0.008	0.012	0.008	0.013	0.009	0.006
β父母了解(个体)=β父母了解(标化)	-0.007	0.317	-0.011	0.082	-0.008	0.181	-0.009	0.168
β学校关心(个体)=β学校关心(标化)	-0.006	0.460	-0.001	0.884	-0.007	0.390	-0.006	0.464
β网络时间(个体)=β网络时间(标化)	0.011	0.022	0.012	0.010	0.010	0.021	0.011	0.017
注：模型1，2，3，4分别代表以总得分、运动性冲动得分、注意性冲动得分及无计划性冲动得分拟合的模型。

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表 3 青少年色情片观看频率影响因素混合线性模型结果(n=1 512)

Table 3. Effect of mixed linear model on the frequency of viewing of adolescent pornography(n=1 512)

变量		模型1		模型2		模型3		模型4
变量		β值	P值	β值	P值	β值	P值	β值	P值
年龄		0.004	< 0.01	0.004	< 0.01	0.004	< 0.01	0.004	< 0.01
性别		-0.010	< 0.01	-0.008	< 0.01	-0.009	< 0.01	-0.010	< 0.01
父母了解程度		-0.009	< 0.01	-0.008	0.01	-0.009	< 0.01	-0.009	< 0.01
学校有成年人关心		-0.017	< 0.01	-0.014	< 0.01	-0.015	< 0.01	-0.017	< 0.01
网络使用时间/(h·d^-1)	< 2	-0.001	0.75	0.002	0.47	0.002	0.52	0.002	0.43
	≥3	0.018	< 0.01	0.020	< 0.01	0.020	< 0.01	0.020	< 0.01
冲动性得分		0.001	< 0.01	0.002	< 0.01	0.001	< 0.01	0.000	0.08
注：模型1，2，3，4中的冲动性得分分别代表总得分、运动性冲动得分、注意性冲动得分及无计划性冲动得分。

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