FROM SCREEN TO BED: ASSOCIATION BETWEEN SCHOOL-AGED CHILDREN’S DIGITAL SCREEN TIME AND SLEEP ATTRIBUTES DURING THE COVID-19 PANDEMIC

Date

2022

College

College of Human Ecology (CHE)

Abstract

This research aimed to determine the relationship between school-aged children’s digital screen time and sleep attributes. The data were collected from all the parents and guardians of sixty-one (61) school-aged children studying during A.Y. 2021-2022 in Maquiling School, Inc., Barangay Puypuy, Bay, Laguna. The respondents accomplished a self administered questionnaire to identify their demographic characteristics, devices commonly used, average screen time, the average length of sleep, sleep behaviors and sleep habits. Using descriptive statistics, it was found out that the cellphone was the device commonly used by most school-aged children involved. Most of them spent about 7-8 hours per day using digital screens. Furthermore, the data revealed that their sleep duration is lower than the recommended number of hours, with a weighted mean of 8.48 hours. Spearman Correlation analysis showed that school-aged children’s screen time and length of sleep had a positive weak relationship. In the domain of sleep behaviors, sleep disordered breathing and daytime sleepiness had a negative very weak association with screen time, while parasomnias got a positive very weak relationship. Moreover, most statements under sleep habits had a positive very weak relationship with the average screen time, and only a few had a negative relationship. On the relationship between the length of sleep and sleep behaviors of school-aged children, sleep consistency and daytime sleepiness had a negative very weak relationship, while parasomnias and sleep disordered breathing got a positive very weak association. Most statements under sleep habits had a negative very weak relationship with the average length of sleep, and only a few had a positive relationship.

LC Subject

school-aged children, screen time, sleep attributes, sleep behaviors, sleep habits

Document Type

Dissertation/Thesis

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