中职生网络欺凌现状及其对健康危险行为的影响

王金阳; 单桂英; 张海莲; 王雨; 刘宏扬

doi:10.16835/j.cnki.1000-9817.2023.12.009

中职生网络欺凌现状及其对健康危险行为的影响

doi: 10.16835/j.cnki.1000-9817.2023.12.009

1.
延边大学护理学院, 吉林延吉 133000
2.
磐石市职业教育中心

基金项目:

2023年度吉林省青少年发展研究计划项目 2023jqy-175

详细信息

作者简介:
王金阳(1995-)，男，吉林磐石人，在读硕士，护师，主要研究方向为社区护理

通讯作者:
张海莲，E-mail：hailianzh@qq.com

利益冲突声明 所有作者声明无利益冲突。
中图分类号: G444 TN711 C913.5
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- 被引次数: 0
出版历程
- 收稿日期: 2023-08-03
- 修回日期: 2023-10-09
- 网络出版日期: 2023-12-26
- 刊出日期: 2023-12-25

Cyberbullying and its effect on health risk behaviors among secondary vocational school students

1.
Nursing College of Yanbian University, Yanji (133000), Jilin Province, China

摘要

摘要: 目的了解中职生网络欺凌与健康危险行为现状, 探讨网络欺凌对健康危险行为的影响, 为制定促进青少年健康相关行为干预策略提供参考依据。方法于2023年3-4月, 采用随机整群抽样方法对吉林市与延吉市各1所中等职业学校1 184名学生进行现场问卷调查, 采用χ²检验和广义线性模型对数据进行分析。结果中职生网络欺凌报告839人(70.9%), 健康危险行为1 036人(87.5%)。网络欺凌总分与健康危险行为之间呈正相关(r=0.60, P < 0.01)。广义线性模型分析显示, 女生、无网络欺凌与中职生健康危险行为呈负相关(β值分别为-2.75, -8.90), 单亲家庭、同学关系紧张与中职生健康危险行为呈正相关(β值分别为2.56, 4.82);具有网络欺凌经历的单亲家庭、同学关系紧张、上网以社交为主的中职生会增加健康危险行为发生(β值分别为3.41, 4.88, 2.20)(P值均 < 0.05)。结论中职生的网络欺凌与健康危险行为发生率较高, 网络欺凌与健康危险行为正性相关。应从家庭、学校及社会多角度关注和开展中职生网络使用指导与健康教育, 并采取相应干预策略促进青少年健康发展。
- 因特网 /
- 暴力 /
- 危险行为 /
- 因素分析，统计学 /
- 学生
Abstract: Objective To investigate the current situation of cyberbullying and health risk behaviors among secondary vocational school students, to explore the effects of cyberbullying on health risk behaviors, so as to provide a reference for formulating intervention strategies to promote adolescent health-related behaviors. Methods From March to April 2023, a field survey was conducted on 1 184 students from one secondary vocational school each in Jilin City and Yanji City by random cluster sampling method.The data was analyzed using Chi-square tests and generalized linear models. Results Among secondary vocational school students, 839 individuals (70.9%) experienced the cyberbullying, and 1 036 individuals (87.5%) had one and more health risk behavior group.There was a positive correlation between cyberbullying and health risk behaviors (r=0.60, P < 0.01).The generalized linear model analysis showed that female and no Internet addiction were negatively correlated with the health risk behaviors of secondary vocational students (β=-2.75, -8.90), and the single-parent families and peer pressure was positively correlated with the health behaviors of secondary vocational students (β=2.56, 4.82)(P < 0.05).Secondary vocational students experienced cyberbullying who from single-parent families, peer pressure and social-oriented internet usage were more likely to engage in health risk behaviors (β=3.41, 4.88, 2.20, P < 0.05). Conclusions The incidence of cyberbullying and health risk behaviors among secondary vocational school students is relatively high, and cyberbullying can influence the occurrence of health risk behaviors.It is important to focus on and implement guidance for internet use and health behavior education for secondary vocational students from multiple perspectives, including the family, school, and society.Corresponding intervention strategies should be taken to promote the healthy development of adolescents.
- Internet /
- Violence /
- Dangerous behavior /
- Factor analysis, statistical /
- Students
注释:

1) 利益冲突声明 所有作者声明无利益冲突。

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表 1 中职生网络欺凌与健康危险行为单因素分析

Table 1. Univariate analysis of cyberbullying and health risk behaviors among secondary vocational students

组别	选项	人数	网络欺凌			健康危险行为
组别	选项	人数	检出人数	χ²值	P值	检出人数	χ²值	P值
性别	男	429	313(73.0)	1.44	0.26	388(90.4)	5.33	0.02
	女	755	526(69.7)			648(85.8)
民族	少数民族	217	174(80.2)	11.18	＜0.01	204(94.0)	10.29	＜0.01
	汉族	967	665(68.8)			832(86.0)
独生子女	是	566	384(67.8)	4.78	0.03	498(88.0)	0.23	0.66
	否	618	455(73.6)			538(87.1)
居住地	城市	681	388(57.0)	16.68	＜0.01	581(85.3)	6.99	0.01
	农村	503	451(89.7)			455(90.5)
学校住宿	否	529	417(78.8)	29.39	＜0.01	481(90.9)	10.26	＜0.01
	是	655	422(64.4)			555(84.7)
家庭类型	核心家庭	633	427(67.5)	8.28	0.02	536(84.7)	10.10	0.01
	单亲家庭	136	98(72.1)			122(89.7)
	其他	415	314(75.7)			378(91.1)
父亲学历	大专及以上	116	77(66.4)	9.02	0.03	94(81.0)	16.50	＜0.01
	初/高/中专	807	558(69.1)			696(86.2)
	小学及以下	197	154(78.2)			186(94.4)
	不知道	64	50(78.1)			60(93.8)
母亲学历	大专及以上	96	59(61.5)	20.36	＜0.01	76(79.2)	19.72	＜0.01
	初/高/中专	785	536(68.3)			675(86.0)
	小学及以下	225	181(80.4)			211(93.8)
	不知道	78	63(80.8)			74(94.9)
年级	一年级	429	333(77.6)	26.67	＜0.01	377(87.9)	2.93	0.23
	二年级	396	244(61.6)			338(85.4)
	三年级	359	262(73.0)			321(89.4)
同学关系	和睦	861	595(69.1)	4.72	0.10	732(85.0)	19.07	＜0.01
	一般	287	217(75.6)			268(93.4)
	紧张	36	27(75.0)			36(100.0)
学习成绩	中等以上	315	222(70.5)	4.97	0.08	277(87.9)	19.12	＜0.01
	中等	487	331(68.0)			423(86.9)
	中等以下	382	286(74.9)			336(88.0)
上网目的	娱乐与消费	817	579(70.9)	15.22	＜0.01	729(89.2)	9.14	0.01
	学习与资讯	139	82(59.0)			112(80.6)
	社交	228	178(78.1)			195(85.5)
注： ()内数字为检出率/%。

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表 2 中职生网络欺凌与健康危险行为相关性(n=1 184，r值)

Table 2. The correlation between cyberbullying and health risk behaviors among secondary vocational students(n=1 184, r)

变量	健康危险行为总分	攻击暴力	自杀自残	破坏纪律	吸烟饮酒	无保护性行为
网络欺凌总分	0.60	0.55	0.35	0.52	0.43	0.31
网络欺凌	0.56	0.56	0.28	0.49	0.42	0.28
网络受害	0.51	0.45	0.34	0.49	0.37	0.29
注： P值均＜0.01。

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表 3 中职生健康危险行为影响因素分析[n=1 184，β值(95%CI)]

Table 3. Analysis of influencing factors of health risk behaviors among secondary vocational students[n=1 184, β(95%CI)]

自变量	选项	模型1 (自变量主效应)	模型2(自变量×网络欺凌交互效应)
性别	女	-2.75(-4.18~-1.33)^**	-2.79(-4.47~-1.10)^**
家庭类型	单亲家庭	2.56(0.33~4.80)^*	3.41(0.77~6.05)^*
	其他	0.03(-0.01~0.07)	0.02(-0.03~0.06)
同学关系	一般	1.44(-0.15~3.04)	1.13(-0.72~2.98)
	紧张	4.82(0.83~8.81)^*	4.88(0.27~9.50)^*
学习成绩	中等	-1.61(-3.29~0.07)	-2.08(-4.10~-0.07)^*
	中等以下	-1.07(-2.85~0.70)	-1.50(-3.59~0.59)
上网目的	学习与资讯	-0.41(-2.57~1.75)	-0.93(-3.69~1.83)
	社交	1.77(0.01~3.52)	2.20(0.18~4.21)^*
网络欺凌	无	-8.90(-10.45~-7.36)^**
注：性别以男生为参照，家庭类型以核心家庭为参照，同学关系以和睦为参照，学习成绩以中等以上为参照，上网目的以娱乐与消费为参照，网络欺凌以有为参照。P < 0.05，*P < 0.01。

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