COVID-19 Pandemic-Related Sleep and Mental Health Disparities among Students at a Hispanic and Minority-Serving Institution

How COVID-19 Information Fear of Missing out Increases the Risk of Depression and Anxiety: Roles of Resilience and Personality Types

During major health emergencies (e.g., the COVID-19 pandemic) people often fear missing relevant information. COVID-19 information fear of missing out (FOMO) is a phenomenon where people feel anxiety about losing control of COVID-19-related information. The present study aimed to examine how COVID-19 information FOMO relates to mental health (e.g., depression and anxiety), the mediating role of resilience, and the moderating role of personality types during the COVID-19 pandemic. We surveyed 1442 Chinese undergraduates (Mage = 21.68 ± 2.35 years) on the relevant variables. The results showed that COVID-19 information FOMO was positively associated with depression and anxiety, and resilience mediated these associations. Latent profile analysis (LPA) identified three personality types (undercontrolled, adaptive, and overcontrolled). Personality types moderated the mediation models, in which the indirect effects were only significant in the participants classified in the undercontrolled group rather than the participants classified in the other two groups. This study told us that undergraduates' mental health, particularly that of the undercontrollers, should be paid attention to when responding to a major public health emergency (e.g., the COVID-19 pandemic).

Potentially traumatic pandemic stressors and anxiety-related sleep disturbance among Latinx persons

Latinx persons have endured elevated rates of traumatic stress related to the COVID-19 pandemic. The effect of potentially traumatic pandemic stressors on anxiety-related sleep disturbances, a factor implicated in trauma-related psychopathology, is largely unexamined in this population. The present study evaluated the additive effect of potentially traumatic pandemic stressors (e.g., hospitalization) on anxiety-related sleep disturbances. Further, given within-group disparities across Latinx communities with intersectional identities and COVID-19-related risk factors, comparisons of the likelihood of pandemic stressors, by subgroup (i.e., older persons, individuals with chronic illness, and Black Latinx persons), were evaluated. Participants were 292 (29.8% female, Mage = 35.03 years, SD = 8.72) Latinx adults who completed a questionnaire battery during a period of high contagion (June 2020-July 2021). There were statistically significant differences across groups such that participants who experienced any potentially traumatic pandemic stressors reported elevated scores on indices of anxiety, depressive symptoms, and anxiety-related sleep disturbances compared to those who had not experienced these stressors, ds = 0.54-93. Hierarchical regression analysis revealed that hospitalization was associated with anxiety-related sleep disturbances after controlling for age, sex, chronic illness history, other stressors, anxiety, depressive symptoms, and somatic symptom burden, ΔR2 = .01. Black Latinx identity and chronic illness were significantly associated with potentially traumatic pandemic-related stressors. This is the first empirical work to evaluate the role of potentially traumatic pandemic stressors on sleep disturbances among Latinx persons and indicates that hospitalization in a pandemic context has an incremental effect on sleep disturbances in this minoritized group.

Relations among perceived stress, fatigue, and sleepiness, and their effects on the ambulatory arterial stiffness index in medical staff: A cross-sectional study

Objective

To explore the relations among perceived stress, fatigue, sleepiness, and the pathway of their effects on the ambulatory arterial stiffness index (AASI) among medical staff.

Methods

This cross-sectional study was conducted at a tertiary hospital in Wuhan, China. Perceived stress, fatigue, and sleepiness were measured using the perceived stress scale (PSS), Fatigue assessment scale (FAS), and Epworth Sleepiness Scale (ESS), respectively. AASI was obtained from 24-h ambulatory blood pressure monitoring. Path analysis was used to clarify the relations among the PSS, FAS, and ESS scores, and their relations to AASI values.

Results

A total of 153 participants were included herein. The PSS and FAS correlated with the ESS (r = 0.424, p < 0.001), and the PSS correlated with the FAS (r = 0.614, p < 0.001). In addition, the ESS correlated with the AASI (r = 0.225, p = 0.005). According to the path analysis results, the PSS and FAS had no direct effect on the AASI, but did have an indirect effect on this index (β = 0.059, 95% confidence interval [CI] = 0.017-0.128, p = 0.005; β = 0.059, 95%CI = 0.016-0.135, p = 0.006, respectively) by influencing the ESS (β = 0.263, β = 0.262, p = 0.004).

Conclusion

Sleepiness was a mediator of the effects of perceived stress and fatigue on AASI.

Unmet Healthcare Needs among College Students during the COVID-19 Pandemic: Implications for System-Wide and Structural Changes for Service Delivery

Background: During the COVID-19 pandemic, college students faced health disparities in addition to a negative burden on academic performance; however, little is reported in the literature regarding healthcare utilization. Methods: A cross-sectional survey was conducted among consenting college student participants aged 18 or older from a Hispanic-serving institution. Descriptive and bivariate statistics were used to analyze demographic characteristics and the types of healthcare services needed by such characteristics. Logistic regression was used to adjust for noted sex differences in associations between reporting limited healthcare services and types of healthcare services. Results: The study population of 223 participants was mostly Hispanic/Latino (65%) and female (73%). Of the population, 11% reported they could not obtain needed healthcare services, with time being reported as the most common reason. Significant associations were found between seeking general healthcare services/routine screening, seeking mental health services, and seeking sexual health services with reporting limited healthcare services, with sex-adjusted odds ratios and 95% confidence intervals of 1.90 (95% CI: 1.08, 3.36), 3.21 (95% CI: 1.44, 4.15), and 2.58 (95% CI: 1.05, 6.35), respectively. Conclusions: Availability and inability to obtain health services may exacerbate college student health disparities. Targeted interventions are needed in the population to mitigate the potential burdens of unmet healthcare needs, particularly among minority college students.