ABSTRACT
The coronavirus disease 2019 outbreak has the potential to trigger declines in individual mental health, potentially in the form of depressive symptoms. However, few studies have explored factors protective of mental health during the ongoing pandemic. For the sustainable development of individual health, this study was conducted during the pandemic and examines the relationship between gratitude and symptoms of depression, as well as the moderating effect of psychological capital. Latent variable structural equation modeling was used to analyze depressive symptoms and protective factors in 3123 college students. This study measures gratitude, depressive symptoms, and psychological capital, using the Gratitude Scale, Patient Health Questionnaire‐9, and the Positive Psychological Capital Questionnaire, respectively. Gratitude was negatively related to depressive symptoms, with psychological capital as a moderator of the relationship. Specifically, psychological capital had a powerful protective effect against depressive symptoms. Students with high psychological capital had lower depressive symptoms than those with low psychological capital, regardless of their level of gratitude. In students with low psychological capital, gratitude had a protective effect against depressive symptoms. These findings suggest that psychological capital is a powerful protective factor against depressive symptoms during a pandemic and improving psychological capital could enhance mental health. [ FROM AUTHOR]
ABSTRACT
Background: An outbreak caused by the 2019 novel coronavirus (2019-nCoV) has spread globally. However, the viral dynamics, co-infection and their associations with clinical severity, have not been well explored.Methods: We longitudinally enrolled 23 (Five severe-type, ten common-type and eight asymptomatic-type patients) hospitalized 2019-nCov-infected patients in Jiangsu between January 21 and February 11, 2020. Medical records and pharyngeal swab specimens, were collected to analyze the association between viral dynamic and disease severity.Results: Five severe-type, ten common-type and eight asymptomatic-type patients were enrolled. Linear mixed effects models revealed that the common and severe-type patients had a higher level of viral load (3.08 points, 95% CI, 0.51-5.65, P = 0.019; 6.07 points, 95% CI, 2.79-9.35, P < 0.001) and maintained a higher peak viral load ( P = 0.066 and 0.022, respectively), when compared with the asymptomatic group. Viral load shedding among older patients (aged ≥ 60) processed slower than that among younger patients ( P = 0.047). RNA virome sequencing identified two co-infected RNA viruses, Human endogenous retrovirus H (HERV) and Human picobirnavirus (HPBV). Of note, HPBV was detected in one severe-type and two common-type patients, while was not detected in all the asymptomatic cases.Conclusion: Higher viral load was positively associated with disease severity. This finding highlights the importance of monitoring the viral kinetics to identify patients at greater risk of progressing to severe pneumonia.