大学生短视频成瘾的潜在剖面分析

潘俊星; 郭俊俏; 武杨杰; 赵小云

doi:10.16835/j.cnki.1000-9817.2024027

大学生短视频成瘾的潜在剖面分析

doi: 10.16835/j.cnki.1000-9817.2024027

1.
淮北师范大学学生工作处，安徽 235025
2.
安徽师范大学教育科学学院
3.
亳州学院教育系
4.
淮北师范大学教育学院

基金项目:

安徽省高校哲学社会科学重大研究项目 2022AH040055

2022年淮北师范大学共青团创新项目 GQTZD202201

安徽省高校哲学社会科学重点研究项目 2023AH050290

详细信息

作者简介:
潘俊星(1995-)，男，安徽亳州人，硕士，助教，主要研究方向为学校心理学、心理健康教育

通讯作者:
赵小云，E-mail：zhaoxiaoyun1980@163.com

利益冲突声明 所有作者声明无利益冲突。
中图分类号: G444 R179 TN711.5
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- 文章访问数: 191
- HTML全文浏览量: 92
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- 被引次数: 0
出版历程
- 收稿日期: 2023-10-16
- 修回日期: 2023-11-28
- 网络出版日期: 2024-03-02
- 刊出日期: 2024-02-25

Latent profile analysis of college students' short-form video addiction

1.
Department of Students' Affair, Huaibei Normal University, Huaibei (235025), Anhui Province, China

摘要

摘要: 目的探究大学生短视频成瘾的潜在类别及其主要人口学特征，为大学生短视频成瘾的预防和干预提供实证参考。方法采用方便抽样方法，于2023年6月抽取安徽省某高校1 386名大学生，采用短视频成瘾量表进行问卷调查。运用“以个体为中心”的潜在剖面分析方法探究大学生短视频成瘾的类别，并运用多元Logistic回归探究人口学变量与短视频成瘾潜在分类的关系。结果大学生短视频成瘾分为3种潜在类别：无成瘾组(22.15%，307名)、低成瘾组(63.28%，877名)和高成瘾组(14.57%，202名)。多元Logistic回归分析结果显示，性别、专业类型和家庭所在地均与大学生短视频成瘾相关：男生(低成瘾组：OR=0.47；高成瘾组：OR=0.41)、文史类专业(低成瘾组：OR=0.66)、来自城市(高成瘾组：OR=0.51)的学生更不容易短视频成瘾(P值均 < 0.05)。结论大学生短视频成瘾存在显著的群体异质性。家庭、学校和社会应重视和关注大学生的短视频成瘾现象，积极采取针对性干预措施，预防和降低大学生短视频成瘾症状的发生。
- 短视频 /
- 行为，成瘾 /
- 精神卫生 /
- 回归分析 /
- 学生
Abstract: Objective To explore the latent categories and general demographic characteristics of short-form video addiction among college students, so as to provide empirical reference for prevention and intervention of short-form video addiction among college students. Methods Convenience sampling method was used to select 1 386 college students from a certain university in Anhui Province in June 2023. A questionnaire survey was conducted among college students by using the Short Video Addiction Scale. The latent profile analysis method of "individual center" was used to explore the categories of college students' short-form video addiction, and multiple Logistic regression was used to explore the influence of demographic variables on the latent classification of short-form video addiction. Results College students with short-form video addiction were divided into three latent categories: non addiction group (22.15%, n=307), low addiction group (63.28%, n=877) and high addiction group (14.57%, n=202). The results of multiple Logistic regression analysis showed that gender, major type and family location were related with short-form video addiction among college students: male students (low addiction group: OR=0.47; high addiction group: OR=0.41), cultural and historical majors (low addiction group: OR=0.66), and students from cities (high addiction group: OR=0.51) were less likely to be involved in short-form video addiction (P < 0.05). Conclusions There is significant group heterogeneity in short-form video addiction among college students. Families, schools and society should attach importance and pay attention to the phenomenon of short-form video addiction among college students, actively take targeted intervention measures to prevent and reduce the occurrence of short-form video addiction symptoms among college students.
- Short video /
- Behavior, addictive /
- 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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表 1 大学生短视频成瘾潜在剖面分析拟合信息

Table 1. Fitting information for latent profile analysis of short-form video addiction among college students

模型	AIC值	BIC值	aBIC值	Entropy值	P_LMR值	P_BLRT值	类别概率
1类	28 400.57	28 442.44	28 417.03	—	—	—	—
2类	27 180.21	27 248.26	27 206.96	0.74	< 0.01	< 0.01	0.36/0.64
3类	26 629.82	26 724.03	26 666.85	0.80	< 0.01	< 0.01	0.22/0.63/0.15
4类	26 436.93	26 557.31	26 484.25	0.77	0.05	< 0.01	0.09/0.32/0.10/0.49
5类	26 304.50	26 451.06	26 362.11	0.78	< 0.01	< 0.01	0.11/0.29/0.11/0.42/0.07
6类	26 228.80	26 401.53	26 296.70	0.78	0.94	< 0.01	0.20/0.09/0.42/0.08/0.13/0.07

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表 2 不同类型大学生在短视频成瘾及各维度得分比较(x±s)

Table 2. Comparison of scores in short-form video addiction and various dimensions among different types of college students(x±s)

潜在类别	戒断性	逃避性	失控性	低效性	总分
C1	7.53±2.30	5.33±2.09	8.72±2.83	3.91±1.80	25.49±5.38
C2	12.40±2.89	9.90±2.19	11.83±2.26	6.75±1.62	40.88±4.90
C3	20.07±2.86	12.80±1.76	14.65±2.35	8.69±1.16	56.21±5.35
F值	1 250.46	857.09	384.86	595.18	2 295.02
P值	< 0.01	< 0.01	< 0.01	< 0.01	< 0.01

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表 3 不同人口学变量对大学生短视频成瘾3个潜类别组的多元Logistic回归分析(n=1 386)

Table 3. Multiple Logistic regression analysis of different demographic variables on three latent category groups of short-form video addition among college students(n=1 386)

自变量	选项	低成瘾组		高成瘾组
自变量	选项	β值	OR值(95%CI)	β值	OR值(95%CI)
性别	男	-0.75	0.47(0.35~0.63)^**	-0.89	0.41(0.27~0.63)^**
专业类型	文史类	-0.42	0.66(0.44~0.97)^*	0.28	1.33(0.75~2.35)
	理工类	-0.36	0.70(0.48~1.02)	0.06	1.06(0.60~1.89)
家庭所在地	县城	-0.02	0.98(0.69~1.39)	-0.08	0.92(0.58~1.47)
	城市	-0.20	0.82(0.58~1.15)	-0.68	0.51(0.31~0.84)^**
注： P < 0.05，*P < 0.01。

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