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Objective: To examine the relative contribution of transition readiness (i.e., healthcare self-management) to health-related quality of life (HRQoL) among emerging adult (EA) college students without a chronic medical condition (CMC). Participants: College students (n = 2372; Mage = 19.32, SD = 1.26) from a Midwestern university. Methods: Participants completed online measures of demographics, HRQoL, and transition readiness. Results: Hierarchical regression analyses found transition readiness accounted an additional 3-4% of the variability in mental and physical HRQoL (p < 0.001), beyond demographic factors. 11.3% of EAs reported overall mastery of transition readiness, with navigating health insurance being the weakest area. Conclusions: Findings support the consensus that transition readiness is relevant to HRQoL for "all" EAs, including those without a CMC. EAs without a CMC demonstrate relatively weak transition readiness skills. Primary and university-based healthcare might consider programs supporting transition readiness and HRQoL among underresourced EAs.

Emerging adults with a chronic medical condition (CMC) are at increased risk for developing health anxiety (HA). Adverse childhood experiences (ACEs) have been linked to developing HA. CMCs and ACEs frequently co-occur among emerging adults. However, no known research has examined ACEs and HA within this critical developmental period. Further, increased negative illness appraisals (e.g., uncertainty, intrusivness) may partially explain the relation between ACEs and HA. The present study examined the following mediation model: ACEs → illness appraisals → HA. Emerging adults (N = 121) with a CMC completed self-report measures of demographics, ACEs, illness appraisals, and HA. Regression analyses were conducted to test each illness appraisal as a mediator between ACEs and HA. Results demonstrated significant indirect effects for both illness appraisals. Findings demonstrate greater ACEs may increase negative illness appraisals which heightens overall HA. Thus, these associations support trauma-informed care approaches to support emerging adults. [ABSTRACT FROM AUTHOR]

Objective: Adolescents and young adults in the college setting often report poor sleep hygiene and quality. These sleep difficulties may be related to emotion dysregulation, which is highly relevant to broader adjustment. The current study aimed to empirically identify latent groups of healthy college students with distinct subjective sleep patterns and examine differences in emotion dysregulation between subgroups.Methods: College students (N = 476; Mage=19.38) completed the Adolescent Sleep-Wake Scale-Revised, Adolescent Sleep Hygiene Scale-Revised, and Difficulties in Emotion Dysregulation Scale. Most participants were White (78%), non-Hispanic/Latinx (85%), and female (77%). Latent profile analysis identified patterns of sleep with maximum likelihood estimation. Bolck-Croon-Hagenaars procedure evaluated differences in emotion dysregulation by class.Results: A three-class model had optimal fit, Bayesian information criterion = 11,577.001, Bootstrapped Parametric Likelihood Ratio Test = -5,763.042, p < .001, entropy = .815. The three profiles identified were good sleep (overall high sleep quality and hygiene; n = 219), moderate sleep (low sleep quality with mix of low and high sleep hygiene; n = 221), and poor sleep (very low sleep quality and hygiene; n = 36). Those in the good sleep group (M = 68.06, SE = 1.5) reported significantly less emotion dysregulation than the moderate sleep group (M = 92.12, SE = 1.67; X2(2) = 98.34, p = .001) and the poor sleep group (M = 99.51, SE = 4.10; p < .001). The moderate and poor sleep groups did not significantly differ, X2(2) = 2.60, p = .11.Conclusions: Emotion dysregulation differed across three sleep profiles, with participants classified in the good sleep group reporting, on average, the lowest emotion dysregulation, compared to the moderate and poor sleep groups. These findings highlight contextual factors of sleep that may be clinically targeted to promote emotion regulation. [ABSTRACT FROM AUTHOR]

Objective: To identify possible subgroups of health care utilization (HCU) patterns among adolescents and young adults (AYAs) with a chronic medical condition (CMC), and examine how these patterns relate to transition readiness and health-related quality of life (HRQoL).Methods: Undergraduates (N = 359; Mage=19.51 years, SD = 1.31) with a self-reported CMC (e.g., asthma, allergies, irritable bowel syndrome) completed measures of demographics, HCU (e.g., presence of specialty or adult providers, recent medical visits), transition readiness, and mental HRQoL (MHC) and physical HRQoL (PHC). Latent class analysis identified four distinct patterns of HCU. The BCH procedure evaluated how these patterns related to transition readiness and HRQoL outcomes.Results: Based on seven indicators of HCU, a four-class model was found to have optimal fit. Classes were termed High Utilization (n = 95), Adult Primary Care Physician (PCP)-Moderate Utilization (n = 107), Family PCP-Moderate Utilization (n = 81), and Low Utilization (n = 76). Age, family income, and illness controllability predicted class membership. Class membership predicted transition readiness and PHC, but not MHC. The High Utilization group reported the highest transition readiness and the lowest HRQoL, while the Low Utilization group reported the lowest transition readiness and highest HRQoL.Conclusions: The present study characterizes the varying degrees to which AYAs with CMCs utilize health care. Our findings suggest poorer PHC may result in higher HCU, and that greater skills and health care engagement may not be sufficient for optimizing HRQoL. Future research should examine the High Utilization subgroup and their risk for poorer HRQoL. [ABSTRACT FROM AUTHOR]

Abstract Objective: Investigate the sleep hygiene and quality of emerging adults with a CMC compared to healthy peers as well as potential predictors of sleep quality. Participants: College students with and without a CMC (n = 137 per group; aged 18–23 years) at a Midwestern university. Methods: Participants reported on anxious and depressive symptoms, sleep quality, sleep hygiene, and illness uncertainty. Results: College students with a CMC reported poorer sleep quality (Adolescent Sleep Quality Scale-Revised) and hygiene (Adolescent Sleep Hygiene Scale-Revised) than the non-CMC group. The indirect effect of internalizing symptoms on sleep quality via cognitive-emotional arousal was only significant in the CMC. Illness uncertainty demonstrated a significant indirect effect on sleep quality though the consecutive influence of internalizing symptoms and cognitive-emotional arousal. Conclusions: Emerging adults with CMCs may experience poorer sleep outcomes than peers. Illness uncertainty, internalizing symptoms, and cognitive-emotional arousal appear relevant to sleep outcomes, suggesting clinical implications for these constructs. [ABSTRACT FROM AUTHOR]