西安市初中生网络游戏障碍与睡眠质量的相关性

汪丽娜; 雷慧; 姜红; 晏妮; 王嘉琪; 刘偲佼; 师昕; 成果; 马乐

doi:10.16835/j.cnki.1000-9817.2022.07.021

西安市初中生网络游戏障碍与睡眠质量的相关性

doi: 10.16835/j.cnki.1000-9817.2022.07.021

汪丽娜¹,
雷慧¹,
姜红¹,
晏妮¹,
王嘉琪¹,
刘偲佼¹,
师昕¹,
成果^2, ,,
马乐^1, ,

1.
西安交通大学公共卫生学院，陕西 71006
2.
四川大学华西第二医院西部妇幼医学研究院出生缺陷与相关妇儿疾病教育部重点实验室

基金项目:

国家自然科学基金项目 21808178

陕西省科技新星计划 2015LJXX-07

详细信息

作者简介:
汪丽娜(1996-)，女，在读博士，主要研究方向为营养流行病学

通讯作者:
成果，E-mail: ehw_cheng@126.com

马乐，E-mail：male@mail.xjtu.edu.cn

利益冲突声明 所有作者声明无利益冲突。
中图分类号: R179 G627.8
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- 被引次数: 0
出版历程
- 收稿日期: 2021-11-19
- 修回日期: 2022-01-17
- 网络出版日期: 2022-07-27
- 刊出日期: 2022-07-25

Association between Internet gaming disorder and sleep quality among junior middle school student of Xi'an City

WANG Lina¹,
LEI Hui¹,
JIANG Hong¹,
YAN Ni¹,
WANG Jiaqi¹,
LIU Sijiao¹,
SHI Xin¹,
CHENG Guo^{2
, ,},
MA Le^{1
, ,}

1.
School of Public Health, Xi'an Jiaotong University, Xi'an (710061), China

摘要

摘要: 目的了解西安市青少年网络游戏障碍(Internet gaming disorder, IGD)现状及其与睡眠质量的关系，为开展青少年IGD干预和促进睡眠质量提供参考依据。方法于2019年8月至2020年2月选取西安市航天中学、西京学校、西安交通大学第二附属中学3所中学1 181名初一初二年级学生，采用基本信息问卷收集学生的性别、年龄、家庭环境等基本信息，通过网络游戏障碍诊断问卷和失眠严重程度指数量表获取IGD诊断情况及失眠严重程度，使用Logistic回归等方法分析IGD相关的危险因素及其与失眠严重程度的关联。结果在过去12个月内参与网络游戏且填写IGD诊断问卷的929名初中生中，IGD检出率为20.0%(186名)。单因素分析显示性别、是否单亲家庭、是否与父母同住、是否网络游戏上瘾、网络游戏时间自控情况、失眠严重程度不同的初中生IGD检出率差异有统计学意义(χ²值分别为17.11，8.33，202.92，91.23，29.06，P值均 < 0.05)。矫正混杂因素的Logistic回归分析结果表明，在过去12个月是否参与网络游戏和失眠严重程度关联无统计学意义(OR=1.62，95%CI=0.92~2.85，P>0.05)；针对网络游戏的人群中重度失眠的IGD风险为不失眠者的3.56倍(95%CI=1.92~6.61，P < 0.01)。结论青少年网络游戏障碍现状不容乐观，失眠严重程度与IGD呈正相关。应尽早对网络游戏障碍青少年开展早期的预防干预以降低IGD的发生风险。
- 电子游戏 /
- 睡眠 /
- 精神卫生 /
- 回归分析 /
- 学生
Abstract: Objective To investigate the association of Internet gaming disorder (IGD) and sleep quality in adolescents of Xi'an, thereby providing theoretical evidence for prevention of IGD and improvement of sleep quality of adolescents. Methods A total of 1 181 adolescents from 3 middle schools of Xi'an were randomly selected between August, 2019 and February, 2020. These adolescents were assessed by a series of questionnaires, including basic information questionnaire, IGD and Insomnia Severity Index (ISI). Univariate analysis and multivariate Logistic regression model were used to evaluate the association between IGD and insomnia. Results Among 929 junior middle school students who participated in online games and the IGD Diagnostic Questionnaire was filled out in the past 12 months, the prevalence of IGD was 20.0%(186). Univariate analyses indicated that gender, whether single family, whether they living with their parents, whether they were addicted to online games, whether they could control the time of online games, and the severity of insomnia influenced IGD (χ²=17.11, 8.33, 202.92, 91.23, 29.06, P < 0.05). The multivariate Logistic regression of the total population showed that participating in online games was not associated with the severity of insomnia (OR=1.62, 95%CI=0.92-0.85, P>0.05). The people who participated in online games in the past 12 monthsthe severity of insomnia was positively correlated with the risk of IGD (OR=3.56, 95%CI=1.92-6.61, P < 0.01). Conclusion Internet gaming disorder become a severe situation in the middle school students. The severity of insomnia might become the risk factor of IGD, so social should pay more attention to the prevention of internet addiction.
- Video games /
- Sleep /
- 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 西安市初中生人口统计学特征分布在是否参与网络游戏青少年间比较

Table 1. Comparison of demographic characteristics of survey respondents among adolescents with whether they participated in online games

人口统计学指标	不参与(n=246)	参与(n=935)	χ²值	P值
性别
男	52(21.2)	527(56.4)	94.68	< 0.01
女	194(78.8)	408(43.6)
单亲家庭
否	227(92.3)	849(90.8)	0.41	0.52
是	19(7.7)	86(9.2)
居住环境
与父母同住	214(87.0)	766(81.9)	3.55	0.31
与母亲同住	21(8.5)	97(10.4)
与父亲同住	7(2.8)	40(4.3)
不与父母同住	4(1.6)	32(3.4)
父亲的文化程度
小学以下	3(1.2)	42(4.5)	6.29	0.04
初中/高中	124(50.4)	484(51.8)
大专及以上	119(48.4)	409(43.7)
母亲的文化程度
小学以下	6(2.4)	50(5.3)	3.57	0.17
初中/高中	129(52.4)	464(49.6)
大专及以上	111(45.1)	421(45.0)
家庭经济状况
贫困	14(5.7)	51(5.5)	0.34	0.84
一般	127(51.6)	465(49.7)
较好	105(42.7)	419(44.8)
失眠严重程度
无临床意义失眠	126(51.2)	434(46.4)	2.05	0.36
轻度失眠	100(40.7)	405(43.3)
中重度失眠	20(8.1)	96(10.3)
注： ()内数字为构成比/%。

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表 2 青少年基本特征和暴露因素分布在RGU和LGD组间比较

Table 2. Comparison of basic characteristics and exposure factors of adolescents between RGU and LGD groups

特征	RUG组(n=743)	IGD组(n=186)	χ²值	P值
性别
男	395(53.2)	131(70.4)	17.11	< 0.01
女	348(46.8)	55(29.6)
单亲家庭
否	682(91.8)	160(86.0)	5.61	0.02
是	61(8.2)	26(14.0)
居住环境
与父母同住	612(82.4)	147(79.0)	8.33	0.04
与母亲同住	81(10.9)	16(8.6)
与父亲同住	25(3.4)	16(8.6)
不与父母同住	25(3.4)	7(3.8)
家庭经济状况
贫困	35(4.7)	17(9.1)	4.07	0.13
一般	375(50.5)	88(47.3)
较好	333(44.8)	81(43.5)
网络游戏上瘾
否	472(63.6)	26(14.0)	202.92	< 0.01
是	76(10.2)	94(50.5)
不确定	195(26.2)	66(35.5)
可自控网游时间
否	78(10.5)	50(26.9)	91.23	< 0.01
是	522(70.3)	60(32.3)
不确定	143(19.2)	76(40.9)
失眠严重程度
无临床意义失眠	373(50.2)	60(32.3)	29.06	< 0.01
轻度失眠	311(41.9)	91(48.9)
中重度失眠	59(7.9)	35(18.8)
注： ()内数字为构成比/%。

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表 3 西安市青少年暴露因素分布在不同失眠严重程度组间比较

Table 3. Distribution of exposure factors in Xi'an adolescents between groups with different insomnia severity

组别	选项	无临床意义(n=560)	轻度(n=505)	中重度(n=116)	χ²值	P值
性别	男	289(51.6)	243(48.1)	45(38.8)	6.70	0.04
	女	271(48.4)	262(51.9)	71(61.2)
单亲家庭	否	520(92.9)	462(91.5)	93(80.2)	19.42	< 0.01
	是	40(7.1)	43(8.5)	23(19.8)
居住环境	与父母同住	480(85.7)	411(81.4)	86(74.1)	10.49	0.11
	与母亲同住	51(9.1)	53(10.5)	16(13.8)
	与父亲同住	14(2.5)	24(4.7)	8(6.9)
	不与父母同住	15(2.7)	17(3.4)	6(5.2)
父亲文化程度	小学以下	18(3.2)	22(4.3)	6(5.2)	1.80	0.77
	初中/高中	289(51.6)	264(52.3)	56(48.3)
	大专及以上	253(45.2)	219(43.4)	54(46.5)
母亲文化程度	小学以下	29(5.2)	19(3.8)	9(7.8)	4.58	0.33
	初中/高中	279(49.8)	262(51.9)	54(46.5)
	大专及以上	252(45.0)	224(44.3)	53(45.7)
家庭经济状况	贫困	32(5.7)	25(5.0)	10(8.6)	9.15	0.06
	一般	258(46.1)	275(54.5)	55(47.4)
	较好	270(48.2)	205(40.5)	51(44.0)
网络游戏上瘾	否	326(58.2)	256(50.7)	51(44.0)	11.16	0.03
	是	88(15.7)	107(21.2)	21(18.1)
	不确定	146(26.1)	142(28.1)	44(37.9)
可自控网游时间	否	76(13.6)	57(11.3)	30(25.9)	23.50	< 0.01
	是	378(67.5)	304(60.2)	58(50.0)
	不确定	106(18.9)	144(28.5)	28(24.1)
注： ()内数字为构成比/%。

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表 4 失眠严重程度与一年内是否参与网络游戏及网络游戏障碍多元Logistic回归分析

Table 4. Multivariate Logistic regression model of the adjusted risk of the severity of insomnial on online games and IGD

自变量与常量	模型1(n=1 181)					模型2(n=929)
自变量与常量	β值	标准误	Wald χ²值	P值	OR值(OR值95%CI)	β值	标准误	Wald χ²值	P值	OR值(OR值95%CI)
无临床意义失眠					1.00					1.00
轻度失眠	0.20	0.16	1.52	0.22	1.22(0.89~1.69)	0.47	0.22	4.56	0.03	1.60(1.04~2.47)
中重度失眠	0.48	0.29	2.83	0.09	1.62(0.92~2.85)	1.27	0.32	16.19	< 0.01	3.56(1.92~6.61)
常量	3.42	0.63	29.62	< 0.01		-2.10	0.33	40.55	< 0.01

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