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Open Access FOMO Predicts Bedtime Procrastination and Poorer Sleep Quality via Rumination

Objectives: Bedtime procrastination is linked to compromised sleep quality and is an increasingly common phenomenon affecting sleep and well-being among young adults. Although research effort has been devoted to studying the predictors of bedtime procrastination, fear of missing out (FOMO), which is an emotion common among young adults, is rarely studied. Therefore, in the present study, we examined a hypothesized serial mediation model. The model hypothesized that FOMO would predict bedtime procrastination via rumination, and that bedtime procrastination would subsequently predict poorer sleep quality. Methods: We recruited 213 participants (aged between 17 and 30) to complete a series of questionnaires that measured FOMO, bedtime procrastination, sleep quality, and rumination. We performed conditional process analyses with SPSS PROCESS Macro (Model 6) to test the hypothesized model. Results: We found support for the hypothesis, where FOMO predicted rumination, which in turn, predicted bedtime procrastination and subsequently poor sleep quality. Conclusion: The findings shed light on the underlying mechanism and sleep-related outcome of the association between FOMO and bedtime procrastination. They provided the foundation for further research to develop interventions targeted at reducing bedtime procrastination and improving sleep quality.

Keywords: BEDTIME PROCRASTINATION; FEAR OF MISSING OUT; RUMINATION; SLEEP QUALITY

Document Type: Research Article

Affiliations: School of Social and Health Sciences, James Cook University, Singapore

Publication date: December 1, 2023

This article was made available online on December 31, 2023 as a Fast Track article with title: "FOMO Predicts Bedtime Procrastination and Poorer Sleep Quality via Rumination".

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  • The American Journal of Health Behavior seeks to improve the quality of life through multidisciplinary health efforts in fostering a better understanding of the multidimensional nature of both individuals and social systems as they relate to health behaviors.

    The Journal aims to provide a comprehensive understanding of the impact of personal attributes, personality characteristics, behavior patterns, social structure, and processes on health maintenance, health restoration, and health improvement; to disseminate knowledge of holistic, multidisciplinary approaches to designing and implementing effective health programs; and to showcase health behavior analysis skills that have been proven to affect health improvement and recovery.

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