Impact of social support on college students' anxiety due to COVID-19 isolation: Mediating roles of perceived risk and resilience in the postpandemic period.

Introduction: Because of the outbreak of COVID-19, several colleges and universities in Xi'an, China, implemented quarantine measures and closed their gates, which increased anxiety among the students. Methods: The Perceived Social Support Scale, Perceived Risk of COVID-19 Pandemic Scale, Connor-Davidson Resilience Scale, and Self-Rating Anxiety Scale were used for measurements. SPSS26 and AMOS26 (IBM SPSS AMOS Statistics, New York, United States) were used for data analysis. Structural equation modeling (SEM) was used to test the data from the 2,251 respondents and the hypothetical model. Results: The students' perceived social support was discovered to have had a significant negative effect on anxiety. The students' perceived COVID-19 risk and resilience played significant mediating roles in the relationship between social support and anxiety. Discussion: When college students feel social support and have resilience, they can reduce anxiety during the epidemic stage. Therefore, education administrators and parents should help college students to identify the current situation of the epidemic environment, enrich relevant knowledge.

Mediating effect of resilience in the relationship between loneliness and life satisfaction during COVID-19: A cross-country study of Thai and Chinese college students.

This study investigated the compensating mediating mechanism of resilience in the relationship between loneliness and life satisfaction in Thai and Chinese college students during a risk period of coronavirus disease 2019 transmission. A total of 262 Thai and 247 Chinese college students were enrolled in the study between December 2020 and January 2021. A measurement model was constructed with the items of loneliness, resilience, and life satisfaction by using structural equation models. Subsequently, structural mediating models were constructed according to the valid items and a multigroup comparison was performed. The relationship between loneliness and life satisfaction differed significantly between Thai and Chinese college students as a result of the mediating effect of resilience. Resilience in Thai college students partly compensated for the negative influence of loneliness on life satisfaction, and resilience in Chinese college students compensated completely for the negative influence of loneliness on life satisfaction.

Psychological effects of the COVID-19 pandemic on Wuhan's high school students.

OBJECTIVE: This study explored the protective mechanisms of resilience and positive emotion regulation against psychological trauma among Wuhan's high school students during the COVID-19 outbreak. METHOD: We obtained 286 valid samples from four high schools in Wuhan, China. To construct a measurement model and a structural model, structural equation models using four measurement scales with valid items were adopted, including a scale of psychological trauma, a scale of resilience, a scale of positive emotional regulation, and a scale of mental health. Participants reported their answers to items on a 5-point Likert-like scale. RESULTS: The results revealed that psychological trauma was a negative predictor of mental health, and resilience and positive emotion regulation mediated the relationship between psychological trauma and mental health. CONCLUSIONS: Accordingly, we concluded that resilience and positive emotion regulation interrupted the direct impact of psychological trauma on mental health, thereby greatly protecting the mental health of Wuhan's high school students during the COVID-19 outbreak.

The effect of the 2019 novel coronavirus pandemic on college students in Wuhan.

OBJECTIVE: This study explored a multiple mediation model in Wuhan's college students. Positive thinking and resilience were identified as mediators between 2019 novel coronavirus (2019-nCoV) victimization experiences and mental health. METHOD: The sample included 384 from 4 universities in Wuhan, China. Four structured instruments were applied to the college students, including scale of the 2019-nCoV coronavirus victimization experience, scale of the positive thinking, scale of the resilience, and scale of the mental health. The responses were scored using a 5-point Likert scale. Structural equation models were used to construct measurement and structural models. RESULTS: The findings confirmed that the 2019-nCoV victimization experience was a negative predictor of mental health; positive thinking and resilience were strong mediators between 2019-nCoV victimization experience and mental health. CONCLUSIONS: The results indicated that a complete model was significant because positive thinking compensated for resilience. Notably, these 2 strong mediators will vastly resist the negative influences of 2019-nCoV victimization experience on mental health in Wuhan's college students until the end of the pandemic. (PsycInfo Database Record (c) 2020 APA, all rights reserved).