Posters

Predictors of sleep quality: Depression, anxiety, and sleep self-efficacy

Student Author Information

Rayanna JohnsonFollow

Location

Hall Memorial Ballroom

Access Type

Campus Access Only

Start Date

4-4-2018 12:00 PM

Department

Psychology

Abstract

Sleep plays an important role in daily functioning and cognitive abilities, but despite this college students continue to struggle to get enough sleep. The objective of this study was to examine the impact of depression, anxiety, and sleep self-efficacy on sleep quality in college students using both objective and self-report data. Participants wore an ActiGraph wGT3X-BT wristband for a period of seven nights, and completed four questionnaires indicating their levels of anxiety, depression, sleep self-efficacy, and sleep quality. This study compared low and high sleep self-efficacy groups on depression scores, anxiety scores, and sleep duration using both the data provided by the ActiGraph wGT3X-BT and Pittsburgh Sleep Quality Index. Predictor variables for efficient sleeping habits using night-to-night sleep variability were also identified.

Faculty Mentor(s)

Dr. Ei Hlaing

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Apr 4th, 12:00 PM

Predictors of sleep quality: Depression, anxiety, and sleep self-efficacy

Hall Memorial Ballroom

Sleep plays an important role in daily functioning and cognitive abilities, but despite this college students continue to struggle to get enough sleep. The objective of this study was to examine the impact of depression, anxiety, and sleep self-efficacy on sleep quality in college students using both objective and self-report data. Participants wore an ActiGraph wGT3X-BT wristband for a period of seven nights, and completed four questionnaires indicating their levels of anxiety, depression, sleep self-efficacy, and sleep quality. This study compared low and high sleep self-efficacy groups on depression scores, anxiety scores, and sleep duration using both the data provided by the ActiGraph wGT3X-BT and Pittsburgh Sleep Quality Index. Predictor variables for efficient sleeping habits using night-to-night sleep variability were also identified.