Larry Rosen1, Louis M Carrier2, Aimee Miller2, Jeffrey Rokkum2, Abraham Ruiz2. 1. Department of Psychology, California State University Dominguez Hills, Carson CA 90747, USA. Electronic address: lrosen@csudh.edu. 2. Department of Psychology, California State University Dominguez Hills, Carson CA 90747, USA.
Abstract
OBJECTIVES: Sleep problems related to technology affect college students through several potential mechanisms including displacement of sleep due to technology use, executive functioning abilities, and the impact of emotional states related to stress and anxiety about technology availability. DESIGN: In the present study, cognitive and affective factors that influence technology usage were examined for their impact upon sleep problems. PARTICIPANTS AND MEASUREMENTS: More than 700 US college students completed an online questionnaire addressing technology usage, anxiety/dependence, executive functioning, nighttime phone usage, bedtime phone location, and sleep problems. RESULTS: A path model controlling for background variables was tested using the data. The results showed that executive dysfunction directly predicted sleep problems as well as affected sleep problems through nighttime awakenings. In addition, anxiety/dependence increased daily smartphone usage and also increased nighttime awakenings, which, in turn, affected sleep problems. CONCLUSIONS: Thus, both the affective and cognitive factors that influence technology usage affected sleep problems.
OBJECTIVES: Sleep problems related to technology affect college students through several potential mechanisms including displacement of sleep due to technology use, executive functioning abilities, and the impact of emotional states related to stress and anxiety about technology availability. DESIGN: In the present study, cognitive and affective factors that influence technology usage were examined for their impact upon sleep problems. PARTICIPANTS AND MEASUREMENTS: More than 700 US college students completed an online questionnaire addressing technology usage, anxiety/dependence, executive functioning, nighttime phone usage, bedtime phone location, and sleep problems. RESULTS: A path model controlling for background variables was tested using the data. The results showed that executive dysfunction directly predicted sleep problems as well as affected sleep problems through nighttime awakenings. In addition, anxiety/dependence increased daily smartphone usage and also increased nighttime awakenings, which, in turn, affected sleep problems. CONCLUSIONS: Thus, both the affective and cognitive factors that influence technology usage affected sleep problems.
Authors: Larry D Rosen; L Mark Carrier; Jonathan A Pedroza; Stephanie Elias; Kaitlin M O'Brien; Joshua Lozano; Karina Kim; Nancy A Cheever; Jonathan Bentley; Abraham Ruiz Journal: Psicol Educ (Madr) Date: 2017-05-25