Objective: We aimed to evaluate the relationship between perceived social support, coping strategies, anxiety, and depression symptoms among hospitalized COVID-19 patients by comparing them with a matched control group in terms of age, gender, and education level. Method: The patient group (n = 84) and the healthy controls (HCs, n = 92) filled in the questionnaire including the socio-demographic form, Hospital Anxiety Depression Scale, Multidimensional Perceived Social Support Scale, and Brief Coping Orientation to Problems Experienced through the online survey link. Results: The COVID-19 patients had higher perceived social support and coping strategies scores than the HCs. However, anxiety and depression scores did not differ significantly between the two groups. In logistic regression analysis performed in COVID-19 patients, the presence of chest CT finding (OR = 4.31; 95% CI = 1.04–17.95) was a risk factor for anxiety and the use of adaptive coping strategies (OR = 0.86; 95% CI = 0.73–0.99) had a negative association with anxiety. In addition, the use of adaptive coping strategies (OR = 0.89; 95% CI = 0.79–0.98) and high perceived social support (OR = 0.97; 95% CI = 0.93– 0,99) had a negative association with depression symptoms. Conclusions: Longitudinal studies involving the return to normality phase of the COVID-19 pandemic are needed to investigate the effects of factors such as coping strategies and perceived social support that could increase the psychological adjustment and resilience of individuals on anxiety and depression.

In this study, we aimed to investigate the relationship between compulsive buying (CB), biological rhythm, impulsivity, and fear of missing out (FoMO). The data in the research was collected from 493 university students using a package of psychological tools including the personal questionnaire, the Compulsive Buying Scale (CBS), Barratt Impulsiveness Scale (BIS-11), Fear of Missing Out Scale (FoMOs), Morningness–Eveningness Questionnaire (MEQ), Sleep Hygiene Index (SHI), and Depression Anxiety Stress Scale-21 (DASS-21). One-way analysis of variance was used to investigate the differences in scales scores across chronotypes, and hierarchical regression analysis to understand the relationships of compulsive buying scores with socio-demographic characteristics and scales scores. Morning-typeindividuals reported lower scores on the CBS, impulsivity, FoMOs, anxiety, and stress than evening-types or neither-types. According to the hierarchical regression analyses, compulsive buyers reported significantly greater levels of impulsivity, depression, anxiety, and fear of missing out. The results showed that evening-type individuals were more likely to compulsive buying behaviors, impulsivity, and FoMO. In conclusion, this study revealed pioneering findings in terms of CB-related factors. It also showed the relationship between consumers’ compulsive buying behavior, and FoMO and the effect of circadian preferences in biological rhythms on this relationship.