MA, Kent State University, 2020, College of Arts and Sciences / Department of Psychological Sciences
The stress generation literature has established a bidirectional relationship between depression
and stressors. Not only do stressful life events predict depressive episodes, but depressive history
is also linked to increased, future stressors. One mechanism that has received little attention to
account for this relationship is sleep. Sleep difficulties are well associated with depression, both
as a predictive and maintenance factor. Beyond depression, sleep disruption is also a factor in
various stressful events, from an increased risk of accidents to higher reports of interpersonal
conflict. The present study explored the role of sleep quality and sleep duration to account for
depression's association with stressors. Ninety-six college students reported on their depressive
symptoms before undergoing a two-week, online diary, where they reported on sleep quality,
sleep duration, and the number of stressors experienced. Two, generalized structural equation
models (GSEMs) were used to test the unique relevance of both sleep quality and duration, to
account for baseline depressive symptoms' predicting average differences in stressors over the
diary. Within each GSEM, a multilevel model was used to explore the daily, within-person
association of either sleep quality or duration and the number of stressors reported. Baseline
depression was predictive of poorer sleep quality and more stressors. Moreover, sleep quality
also mediated the effect of depression on stress generation, accounting for 9.97% of the variance.
On a daily level, poorer sleep quality and less sleep duration the night before also predicted more
stressors the next day. However, sleep duration was not associated with depression, nor did it
mediate the depression's relationship with stress generation. The results suggest that both sleep
quality and duration may help explain future stress generation. Sleep quality, in particular,
appears to be a relevant mechanism in the prediction of f (open full item for complete abstract)
Committee: Jeffrey Ciesla (Advisor)
Subjects: Psychology