睡前1小时屏幕内容对大学生夜晚睡眠质量的影响

有传奇; 崔玉鹏

doi:10.16835/j.cnki.1000-9817.2024324

睡前1小时屏幕内容对大学生夜晚睡眠质量的影响

doi: 10.16835/j.cnki.1000-9817.2024324

有传奇¹,
崔玉鹏^2, ,

1.
首都体育学院休闲与社会体育学院，北京 100091
2.
首都体育学院运动科学与健康学院

详细信息

作者简介:
有传奇(1999-)，男，安徽宣城人，在读硕士，主要研究方向为运动人体科学以及体力活动与健康促进

通讯作者:
崔玉鹏，E-mail：cuiyupeng@cupes.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 Q428 TN946.1
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出版历程
- 收稿日期: 2024-07-20
- 修回日期: 2024-09-23
- 网络出版日期: 2024-11-02
- 刊出日期: 2024-10-25

Intervention effects of bedtime screen use content on nighttime sleep quality among college students with high sedentary behavior

YOU Chuanqi¹,
CUI Yupeng^{2
, ,}

1.
Department of Leisure and Social Sports, Capital University of Physical Education and Sports, Beijing (100091), China

摘要

摘要: 目的探讨睡前1 h基于屏幕久坐行为的不同屏幕内容对大学生夜间睡眠质量的影响，为指导大学生养成健康睡眠习惯提供依据。方法 2024年3月1—15日，通过学生社交媒体群组或招募海报在首都体育学院招募40名大学生，采用单盲完全随机分组实验设计随机分为电视/电影流媒体组(n=10)、电子游戏组(n=10)、在线冲浪/社交组(n=10)、助眠类视频组(n=10)4组。采用国际体力活动问卷简表(IPAQ-SF)、自评抑郁量表(SDS)和自评焦虑量表(SAS)分别测量大学生实验前的身体活动和情绪状态水平。在为期5 d的实验中，受试者在睡前1 h观看不同的屏幕内容，在干预前后收集受试者的匹兹堡睡眠质量指数(PSQI)、睡眠时长、入睡时间和起床时间。使用配对样本t检验比较干预前后组内差异，使用单因素方差分析进行组间的横向比较。结果在干预前后的组内纵向比较中，电视/电影流媒体(5.40±0.70，6.30±0.67)组和在线冲浪/社交(5.50±0.97，6.20±0.63)组的PSQI评分均有升高(t值分别为-3.86，-2.33，P值均 < 0.05)，助眠类视频组的PSQI评分(5.80±0.92，4.90±0.74)降低(t=3.25，P < 0.05)，电子游戏组PSQI评分(5.60±0.84，5.80±0.79)差异无统计学意义(t=-0.69，P>0.05)。在干预后组间横向比较中，助眠类视频组的PSQI评分(4.90±0.74)、入睡时间(0:25±0.24 h)、睡眠效率[(81.83±5.40)%]均优于其余3组[PSQI：6.30±0.67，5.80±0.79，6.20±0.63；入睡时间：1:31±0.36 h，00:56±0.56 h，01:22±0.54 h；睡眠效率：(72.60±5.00)%，(75.50±4.43)%，(74.80±5.20)%](F值分别为8.00，6.61，19.00)，睡眠时长优于电视/电影流媒体组和在线冲浪/社交组[(7.30±0.68)(6.20±0.26)(6.36±0.64)h](F=6.61)(P值均 < 0.01)。结论睡前1 h不同屏幕内容的屏幕久坐行为对睡眠质量影响不同。电视/电影流媒体和在线冲浪/社交的屏幕内容会降低睡眠质量，观看助眠类视频可能提高睡眠质量，玩电子游戏不会改变当前睡眠质量。
- 注视，眼 /
- 久坐生活方式 /
- 睡眠 /
- 干预性研究 /
- 学生
Abstract: Objective To explore the effects of different screen content on the nighttime sleep quality of college students based on screen time 1 h before bedtime, so as to provide a basis for healthy sleep habits. Methods From March 1 to 15, 2024, 40 college students were recruited from Capital Institute of Physical Education through student social media groups or recruitment posters, and were randomly assigned to TV/movie streaming group (n=10), video game group (n=10), online surfing/social networking group (n=10), sleep aid video group (n=10) by single-blind randomized experimental design. The International Physical Activity Questionnaire Short Form (IPAQ-SF), Self-rating Depression Scale (SDS) and Self-rating Anxiety Scale (SAS) were used to measure the physical activity and emotional state levels of college students before the experiment. In the 5-day experiment, participants watched different screen content 1 h before sleep, then Pittsburgh Sleep Quality Index (PSQI), sleep duration, sleep latency and wake-up time were collected before and after the intervention. A paired sample t-test was used to compare the differences within groups before and after the intervention, and one-way analysis of variance was used for horizontal comparison between groups. Results In the longitudinal within-group comparisons before and after the intervention, there was an increase in PSQI scores in the TV/movie strearming (5.40±0.70, 6.30±0.67) and online surfing/social networking (5.50±0.97, 6.20±0.63) groups (t=-3.86, -2.33, P < 0.05) and the sleep aid video group (5.80±0.92, 4.90±0.74) with a decrease in PSQI scores (t=3.25, P < 0.05), and the difference in PSQI scores in the video game group (5.60±0.84, 5.80±0.79) was not statistically significant (t=-0.69, P>0.05). In the post-intervention cross-sectional comparison between groups, the sleep aid video group had better PSQI scores (4.90±0.74; 6.30±0.67, 5.80±0.79, 6.20±0.63), sleep latency (0:25±0.24 h, 1:31±0.36 h, 00:56±0.56 h, 01:22±0.54 h) and sleep efficiency[(81.83±5.40)%; (72.60±5.00)%, (75.50±4.43)%, (74.80±5.20)%] than the other 3 groups (F=8.00, 6.61, 19.00) and better sleep duration than the TV/movie strearming group and the online surfing/social networking group [(7.30±0.68) (6.20±0.26) (6.36±0.64)h] (F=6.61) (P < 0.01). Conclusions Bedtime screen use with different screen contents affects sleep quality differently. The screen content of TV/movie streaming and online surfing/socialising reduced sleep quality, whereas watching sleep aiding videos may improve sleep quality, while playing video games shows no effects on sleep quality.
- Fixation, ocular /
- Sedentary lifestyle /
- Sleep /
- Intervention studies /
- Students
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表 1 不同组别大学生基本指标比较(x ± s)

Table 1. Comparison of basic indicators of different groups among college students(x ± s)

组别	人数	年龄/岁	久坐行为时间/(h·d^-1)	SSB时间/(h·d^-1)	抑郁得分	焦虑得分	MVPA/(min·d^-1)
电视/电影流媒体组	10	21.30±1.70	11.75±1.87	6.90±1.08	19.70±1.63	34.50±2.20	28.50±6.15
电子游戏组	10	20.70±1.50	11.80±1.47	6.80±1.03	19.80±3.58	31.50±3.69	29.80±9.68
在线冲浪/社交组	10	21.20±1.80	11.75±1.47	7.00±0.66	19.70±2.94	30.40±5.35	26.30±6.09
助眠类视频组	10	21.40±2.10	11.65±1.29	7.30±0.67	20.40±2.00	33.40±3.40	28.70±10.48
F值		0.31	1.62	0.64	0.16	2.31	0.31
P值		0.82	0.20	0.59	0.99	0.09	0.82

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表 2 不同组别大学生干预前后不同睡眠指标比较(x ± s)

Table 2. Comparison of different sleep indicators before and after intervention among different groups of college students(x ± s)

组别	干预前后	人数	统计值	PSQI得分	睡眠时长/h	入睡时间^a	起床时间^a	睡眠效率/%
电视/电影流媒体组	干预前	10		5.40±0.70	6.55±0.50	1:01±0.35	7:40±0.85	74.38±3.70
	干预后	10		6.30±0.67	6.20±0.26	1:31±0.36	8:00±0.67	72.60±5.00
			t值	-3.86	2.33	-3.45	0.06	1.41
			P值	< 0.01	0.05	0.01	0.06	0.19
电子游戏组	干预前	10		5.60±0.84	6.45±0.64	1:06±0.43	7:51±0.71	74.40±5.20
	干预后	10		5.80±0.79	6.60±0.70	0:56±0.56	7:39±0.78	75.50±4.43
			t值	-0.69	-0.44	1.18	0.56	-0.62
			P值	0.51	0.67	0.27	0.56	0.55
在线冲浪/社交组	干预前	10		5.50±0.97	6.65±0.62	1:03±0.38	7:45±0.89	78.13±3.20
	干预后	10		6.20±0.63	6.36±0.64	1:22±0.54	7:54±0.77	74.80±5.20
			t值	-2.33	1.12	-2.50	0.54	2.20
			P值	0.05	0.29	0.03	0.54	0.06
助眠类视频组	干预前	10		5.80±0.92	6.65±0.65	0:52±0.19	7:43±0.58	74.40±5.20
	干预后	10		4.90±0.74	7.30±0.68	0:25±0.24	7:32±0.73	81.83±5.40
			t值	3.25	-3.50	5.05	0.55	-3.90
			P值	0.01	0.01	< 0.01	0.55	< 0.01
注： ^a均数采用24 h制描述，标准差单位为小时数。

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