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Background: Poor sleep is commonplace among traditional entry university students. Lifestyle modifications, such as time management behaviors, may improve sleep quality by allocating sufficient time for sleep and mitigating stress-associated sleep latency inefficiencies. Purpose: The purpose of our study was to evaluate time management behaviors as predictors of sleep quality in traditional entry university students. We hypothesized that time management behaviors would predict perceived control of time, which in turn, would predict global sleep quality. Methods: A cross-sectional convenience sample of university students (n = 302) completed a 73-item instrument comprised the Pittsburgh Sleep Quality Index and the Time Management Behavior scale. Model building procedures included exploratory factor analysis, confirmatory factor analysis, and structural equation modeling. Results Our specified model identified significant paths between setting goals and priorities ([beta] = 0.261; p = 0.012), mechanics of time management ([beta] = 0.210; p = 0.043) and preference for organization ([beta] = 0.532; p < 0.001) for perceived control of time (R[subscript 2] = 0.300 p < 0.001). We further identified a significant path between perceived control of time and global sleep quality (R[subscript 2] = 0.196, p = 0.022). Discussion: Our study suggests that time management behaviors are associated with global sleep quality. Translation to Health Education: Practice Health education interventions addressing sleep quality of traditional entry university students should consider incorporating time management behaviors.

Background: Chronic Obstructive Pulmonary Disease (COPD) is more prevalent in rural areas than in non-rural areas due to factors such as limited access to healthcare; however, no known studies have systematically reviewed evidence related to the impact of self-management interventions on rural adults with COPD. Purpose: Systematically review telehealth and non-telehealth self-management interventions delivered to adults with COPD in rural areas. Methods: Six electronic databases were searched to identify eleven eligible articles. Results: Six studies delivered telehealth interventions, while five delivered non-telehealth interventions. Six interventions (54.5%) reported the use of a behavioral theory, and four (36.4%) employed a randomized control trial (RCT) design. Three studies (n = 2 telehealth; n = 1 non-telehealth) reported significant improvements in self-management efficacy, five (n = 3 telehealth; n = 2 non-telehealth) reported improvements in quality of life, four (n = 1 telehealth; n = 3 non-telehealth) demonstrated improved exercise capacity, and four (n = 2 telehealth; n = 2 non-telehealth) reported improved COPD knowledge. Discussion: There is promising evidence that telehealth interventions could be as beneficial as non-telehealth interventions for improving COPD self-management in rural areas. Translation to Health Education Practice: Community-based needs assessments in rural areas may help determine the optimal method of delivery (i.e., telehealth and/or non-telehealth strategies) for local COPD self-management interventions.