Accepted for/Published in: JMIR Formative Research
Date Submitted: Sep 20, 2023
Date Accepted: Sep 23, 2024
Date Submitted to PubMed: Sep 23, 2024
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Seasonal and Weekly Patterns of Korean Adolescents’ Web Search Activity of ‘Insomnia’: a Retrospective Study
ABSTRACT
Background:
Sleep deprivation in adolescents is a common but serious issue in public health. Internet search activity related to sleep problems can provide relevant information for understanding the epidemiological characteristics of this population. Here we analyzed the seasonal and weekly pattern of internet search activity on ‘insomnia’ in adolescent and adult populations in South Korea.
Objective:
We aimed to reveal whether the adolescent population exhibits distinct temporal patterns in internet search activity of ‘insomnia’ when compared to the adult population, which might be associated with subjective sleep disturbance linked to the academic schedule of middle/high schools (e.g. summer and winter vacation).
Methods:
We extracted the daily search volume of ‘insomnia’ in the adolescent (13~18 years old) and the adult population (19 ~ 59 years old) for the years 2016~2019 using ‘NAVER DataLab’, which is based on the most widely used internet search engine in Korea. The time series of the search volume was decomposed into the slow annual trend and the fast weekly pattern using the Fast Fourier Transform, then the relative search volume of both groups was compared across days in a week and months in a year.
Results:
The adolescent population exhibited much larger seasonal variations in the search volume when compared to the adult population (coefficient of variation: 0.414 for the adolescents vs. 0.064 for adults). Search volume of ‘insomnia’ in adolescents was particularly higher in January, February, and August, which are academic vacation periods in Korea (p < .001). In the weekly pattern, adolescents showed particularly increased search volume on Sunday and Monday (p < .001). When we set the young adult population (19~24 years old) as an additional control group, the same patterns were observed between the adolescents vs. the young adults.
Conclusions:
The adolescent population exhibited internet search on ‘insomnia’ with distinct seasonal and weekly patterns compared to the adult population, which might be highly associated with the school schedule (i.e. vacation periods and weekends). The adolescents’ subjective sleep problems are more likely to be affected by the delayed sleep phases related to the disrupted daily routine.
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