Presentation Title

Student Survival: Sleep and Social Parameters During a Pandemic

Presentation Type

Poster

Full Name of Faculty Mentor

Marlena Ryba, Psychology

Major

Psychology

Second Major

Sociology

Presentation Abstract

While technology has many benefits (e.g., more connections), research suggests that prolonged use of technology may have adverse effects on mental and physical health. Given the increased use of technology during the COVID-19 pandemic, it is important to examine the effects of technology use, particularly among students engaged in virtual learning. This study will examine the relationship between time spent engaging in virtual learning, levels of social support, and sleep. Using a self-report assessment of time spent engaged in virtual learning (hours), the Social Network Index, and the Pittsburgh Sleep Quality Index, a multiple regression analysis will be used to analysis data from a sample of college students to investigate whether the amount of time spent on virtual learning and social support predict participants' sleep quality. It is hypothesized that sleep quality is affected by both the amount of time spent virtual learning and social support received.

Location

Poster Session 2

Start Date

22-4-2021 4:30 PM

End Date

22-4-2021 6:30 PM

Disciplines

Psychology

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Apr 22nd, 4:30 PM Apr 22nd, 6:30 PM

Student Survival: Sleep and Social Parameters During a Pandemic

Poster Session 2

While technology has many benefits (e.g., more connections), research suggests that prolonged use of technology may have adverse effects on mental and physical health. Given the increased use of technology during the COVID-19 pandemic, it is important to examine the effects of technology use, particularly among students engaged in virtual learning. This study will examine the relationship between time spent engaging in virtual learning, levels of social support, and sleep. Using a self-report assessment of time spent engaged in virtual learning (hours), the Social Network Index, and the Pittsburgh Sleep Quality Index, a multiple regression analysis will be used to analysis data from a sample of college students to investigate whether the amount of time spent on virtual learning and social support predict participants' sleep quality. It is hypothesized that sleep quality is affected by both the amount of time spent virtual learning and social support received.

https://digitalcommons.coastal.edu/ugrc/test1/test1track/74