武陵山区大学生危害健康行为潜在类别及其与校园欺凌的关联

王澳伦; 张天成; 徐涛; 郭淑媛; 张福兰

doi:10.16835/j.cnki.1000-9817.2023.05.025

武陵山区大学生危害健康行为潜在类别及其与校园欺凌的关联

doi: 10.16835/j.cnki.1000-9817.2023.05.025

吉首大学体育科学学院，湖南 416000

基金项目:

教育部规划基金项目 22YJA880086

湖南省教育厅重点项目 21A0346

吉首大学国家民族体育重点研究基地开放基金项目 MZTY2221

详细信息

作者简介:
王澳伦(1999-)，男，湖南益阳人，在读硕士，主要研究方向为体育教学

通讯作者:
张天成，E-mail：jdzhangtiancheng@163.com

利益冲突声明 所有作者声明无利益冲突。
中图分类号: B844.2 G478 R193
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- 被引次数: 0
出版历程
- 收稿日期: 2022-12-23
- 修回日期: 2023-02-20
- 网络出版日期: 2023-05-25
- 刊出日期: 2023-05-25

Potential categories of health risk behaviors of college students in Wuling Mountain Area and its association with campus bullying

College of Sports Science, Jishou University, Jishou(416000), Hunan Province, China

摘要

摘要: 目的了解武陵山区大学生危害健康行为潜在类别及其与校园欺凌的关联，为促进大学生身心健康发展提供理论依据。方法 2022年10—11月，采用分层随机整群抽样法抽取武陵山区6所高校3 042名大学生，利用“中国青少年健康相关/危险行为调查问卷”(大学版)对危害健康行为进行问卷调查，采用潜在类别分析方法分析偏食、无安全感、打架、孤独、抑郁、失眠、伤心欲绝、自杀意念、吸烟、饮酒、游戏成瘾、网络成瘾行为12种危害健康行为的潜在类别，采用多元Logistic回归方法进一步分析不同类别与校园欺凌的关联。结果武陵山区大学生危害健康行为分为类别1低风险组(44.2%)、类别2综合高危组(5.4%)、类别3情绪障碍组(50.4%)。不同性别、学科的大学生危害健康行为潜在类别分布特征差异均有统计学意义(χ²值分别为31.44，11.69，P值均＜0.05)。Logistic回归分析结果显示，控制人口学变量后，校园欺凌与类别3情绪障碍组的发生正性相关(OR=1.88，P＜0.01)。结论武陵山区大学生危害健康行为呈现类别分布，且各类别与校园欺凌关联不同。高校应重视校园欺凌的发生，针对不同类别的危害健康行为制定干预方案，促进大学生身心健康发展。
- 危险行为 /
- 暴力 /
- 精神卫生 /
- 回归分析 /
- 学生
Abstract: Objective To understand the potential categories of harmful behaviors of college students in Wuling Mountain Area and its relationship with campus bullying, so as to provide a theoretical basis for promoting the development of college students' physical and mental health. Methods The stratified random cluster sampling method was used to select 3 042 college students from six universities in Wuling Mountain Area from October to December, 2022. The "Chinese Youth Health Related/Risk Behaviors Questionnaire" (University Edition) compiled by the National Youth Health Related/Risk Behaviors Survey Group was used to investigate the health risk behaviors. The potential category analysis method was used to analyze the food preference, insecurity, fighting, loneliness, depression, insomnia, heartbreak, suicidal ideation, smoking, drinking, game addiction, Internet addiction of health risk behaviors were used to further analyze the relationship between different categories and campus bullying by using multi category Logistic regression method. Results College students in Wuling Mountain Area were classified into low risk group of category 1 (44.2%), category 2 (5.4%) substance dependent group, category 3(50.4%) emotional disorder group. The distribution of potential categories of health risk behaviors among college students was statistically significant by gender(χ²=31.44, 11.69, P < 0.05). Logistic regression analysis showed that after controlling demographic variables, campus bullying was the risk factor of category 3 emotional disorder group(OR=1.88, P < 0.01). Conclusion Health risk behaviors of college students in Wuling Mountain Area show distinct cluster pattern, and each category has different association with campus bullying. Colleges and universities should attach great importance to the occurrence of campus bullying, formulate intervention programs for different categories of health hazard behaviors, and promote the healthy development of college students' physical and mental health.
- Dangerous behavior /
- Violence /
- Mental health /
- Regression analysis /
- 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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图 1 武陵山区大学生危害健康行为3个潜类别条件分布

Figure 1. Distribution of three potential conditions of health hazard behaviors of college students in Wuling Mountain Area

下载: 全尺寸图片幻灯片

表 1 武陵山区大学生危害健康行为潜在类别模型适配指标(n=3 042)

Table 1. Potential category model adaptation index of health hazard behaviors of college students in Wuling Mountain Area(n=3 042)

类别数目	参数条目	AIC	BIC	aBIC	Entropy	LMR	BLRT	类别概率
1	12	11 925.07	11 984.13	11 946.02	—	—	—	1
2	25	11 415.01	11 538.05	11 458.65	0.67	0	0	0.42/0.60
3	38	11 355.65	11 542.67	11 421.98	0.79	< 0.01	< 0.01	0.05/0.50/0.44
4	51	11 336.38	11 587.38	11 425.40	0.73	0.44	0.44	0.04/0.42/0.06/0.47
5	64	11 323.97	11 638.95	11 435.68	0.66	0.28	0	0.05/0.19/0.44/0.25/0.08

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表 2 不同人口统计学特征武陵山区大学生危害健康行为潜在类别分布特征比较

Table 2. Comparison of distribution characteristics of potential health hazard behaviors among college students with different social demographic characteristics in Wuling Mountain Area

人口统计学指标		人数	低风险组	综合高危组	情绪障碍组	χ²值	P值
性别	男	1 527	798(52.3)	93(6.1)	636(41.7)	31.44	< 0.01
	女	1 515	546(36.0)	72(4.8)	897(59.2)
学科	文科	1 524	750(49.2)	87(5.7)	687(45.1)	11.69	< 0.01
	理科	1 518	594(39.1)	78(5.1)	846(55.7)
年级	大一	729	321(44.0)	30(4.1)	378(51.9)	6.36	0.39
	大二	777	381(49.0)	51(6.6)	345(44.4)
	大三	771	333(43.2)	42(5.4)	396(51.4)
	大四	765	309(40.4)	42(5.5)	414(54.1)
民族	汉族	2 346	1 029(43.9)	138(5.9)	1 179(50.3)	1.42	0.49
	其他民族	696	315(45.3)	27(3.9)	354(50.9)
注：()内数字为构成比/%。

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表 3 武陵山区大学生危害健康行为潜类别分组与校园欺凌症状关联性的Logistic回归分析(n=3 042)

Table 3. Logistic regression analysis of the association between latent categories of hazardous behaviors and bullying symptoms of college students in Wuling Mountain Area(n=3 042)

自变量	模型1				模型2
自变量	β值	标准误	Wald χ²值	OR值(OR值95%CI)	β值	标准误	Wald χ²值	OR值(OR值95%CI)
类别2	0.34	0.32	1.17	0.28(0.76~2.63)	0.42	0.33	1.64	1.52(0.80~2.87)
类别3	0.46	0.15	9.59	1.58(1.18~2.11)^**	0.63	0.16	16.53	1.88(1.40~2.54)^**
注：因变量以未发生校园欺凌为参照，自变量以类别1为参照；**P < 0.01。

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