Volume 45 Issue 10
Oct.  2024
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YOU Chuanqi, CUI Yupeng. Intervention effects of bedtime screen use content on nighttime sleep quality among college students with high sedentary behavior[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2024, 45(10): 1446-1450. doi: 10.16835/j.cnki.1000-9817.2024324
Citation: YOU Chuanqi, CUI Yupeng. Intervention effects of bedtime screen use content on nighttime sleep quality among college students with high sedentary behavior[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2024, 45(10): 1446-1450. doi: 10.16835/j.cnki.1000-9817.2024324

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

doi: 10.16835/j.cnki.1000-9817.2024324
  • Received Date: 2024-07-20
  • Rev Recd Date: 2024-09-23
  • Available Online: 2024-11-02
  • Publish Date: 2024-10-25
  •   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.
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