The mediating role of coping strategies between depression and social support and the moderating effect of the parent–child relationship in college students returning to school: During the period of the regular prevention and control of COVID-19

Objective According to the WHO, compared to before the COVID-19 pandemic, young people showed a significant increase in depressive symptoms. In light of the recent coronavirus pneumonia pandemic, this study was conducted to determine how social support, coping style, parent-child relationships, and depression are associated. We investigated how these factors interacted and affected the prevalence of depression during this challenging and unheard-of time. Our research may help both individuals and healthcare professionals better comprehend and assist those who are coping with the pandemic's psychological effects. Design and main outcome measures 3,763 students from a medical college in Anhui Province were investigated with Social Support Rate Scale, Trait Coping Style Questionnaire, and Self-rating Depression Scale. Results When the pandemic situation was normalizing, social support was associated with depression and the coping style of college students (p < 0.01). During the period of pandemic normalization, the parent–child relationship moderated the relationship between social support and positive coping (t = −2.45, p < 0.05);the parent–child relationship moderated the relationship between social support and negative coping (t = −4.29, p < 0.01);and the parent–child relationship moderated the association between negative coping and depression (t = 2.08, p < 0.05). Conclusion Social support has an impact on depression in the period of the regular prevention and control of COVID-19 through the mediating role of coping style and the moderating effect of the parent–child relationship.

The mediating role of coping strategies between depression and social support and the moderating effect of the parent-child relationship in college students returning to school: During the period of the regular prevention and control of COVID-19.

Objective: According to the WHO, compared to before the COVID-19 pandemic, young people showed a significant increase in depressive symptoms. In light of the recent coronavirus pneumonia pandemic, this study was conducted to determine how social support, coping style, parent-child relationships, and depression are associated. We investigated how these factors interacted and affected the prevalence of depression during this challenging and unheard-of time. Our research may help both individuals and healthcare professionals better comprehend and assist those who are coping with the pandemic's psychological effects. Design and main outcome measures: 3,763 students from a medical college in Anhui Province were investigated with Social Support Rate Scale, Trait Coping Style Questionnaire, and Self-rating Depression Scale. Results: When the pandemic situation was normalizing, social support was associated with depression and the coping style of college students (p < 0.01). During the period of pandemic normalization, the parent-child relationship moderated the relationship between social support and positive coping (t = -2.45, p < 0.05); the parent-child relationship moderated the relationship between social support and negative coping (t = -4.29, p < 0.01); and the parent-child relationship moderated the association between negative coping and depression (t = 2.08, p < 0.05). Conclusion: Social support has an impact on depression in the period of the regular prevention and control of COVID-19 through the mediating role of coping style and the moderating effect of the parent-child relationship.

The Mental Health Status and Associated Factors Among Medical Students Engaged in Online Learning at Home During the Pandemic: A Cross-Sectional Study From China

Background: The purpose of this study was to assess the mental health status of medical students engaged in online learning at home during the pandemic, and explore the potential risk factors of mental health. Methods: A cross-sectional study was conducted via an online survey among 5,100 medical students from Wannan Medical College in China. The Depression, Anxiety and Stress scale (DASS-21) was used to measure self-reported symptoms of depression, anxiety, and stress among medical students during online learning in the pandemic. Results: In total, 4,115 participants were included in the study. The prevalence symptoms of depression, anxiety, and stress were 31.9, 32.9, and 14.6%, respectively. Depression was associated with gender, grade, length of schooling, relationship with father, students' daily online learning time, and students' satisfaction with online learning effects. Anxiety was associated with gender, length of schooling, relationship with father, relationship between parents, students' daily online learning time, and students' satisfaction with online learning effects. Stress was associated with grade, relationship with father, relationship between parents, students' daily online learning time, and students' satisfaction with online learning effects. Conclusions: Nearly one-third of medical students survived with varying degrees of depression, anxiety, and stress symptoms during online learning of the COVID-19 pandemic. Gender, grade, length of schooling, family environment, and online learning environment play vital roles in medical students' mental health. Families and schools should provide targeted psychological counseling to high-risk students (male, second-year and third-year, four-year program). The findings of this study can provide reference for educators to cope with the psychological problems and formulate the mental health curriculum construction among medical students during online learning.

Serial Multiple Mediation of the Correlation Between Internet Addiction and Depression by Social Support and Sleep Quality of College Students During the COVID-19 Epidemic.

OBJECTIVE: This cross-sectional study explores the serial multiple mediation of the correlation between internet addiction and depression by social support and sleep quality of college students during the COVID-19 epidemic. METHODS: We enrolled 2,688 students from a certain university in Wuhu, China. Questionnaire measures of internet addiction, social support, sleep quality, depression and background characteristics were obtained. RESULTS: The prevalence of depression, among 2,688 college students (median age [IQR]=20.49 [20.0, 21.0] years) was 30.6%. 32.4% of the students had the tendency of internet addiction, among which the proportion of mild, moderate and severe were 29.8%, 2.5% and 0.1%, respectively. In our normal internet users and internet addiction group, the incidence of depression was 22.6% and 47.2%, respectively. The findings indicated that internet addiction was directly related to college students' depression and indirectly predicted students' depression via the mediator of social support and sleep quality. The mediation effect of social support and sleep quality on the pathway from internet addiction to depression was 41.97% (direct effect: standardized estimate=0.177; total indirect effect: standardized estimate=0.128). The proposed model fit the data well. CONCLUSION: Social support and sleep quality may continuously mediate the link between internet addiction and depression. Therefore, the stronger the degree of internet addiction, the lower the individual's sense of social support and the worse the quality of sleep, which will ultimately the higher the degree of depression. We recommend strengthening monitoring of internet use during the COVID-19 epidemic, increasing social support and improving sleep quality, so as to reduce the risk of depression for college students.

Association Between Online Self-Directed Learning Ability and Negative Emotions Among College Students During the COVID-19 Pandemic: A Cross-Sectional Study in Anhui Province, East China.

Background: This study investigated the correlation between depression, anxiety, and stress among college students engaged in online learning during the coronavirus disease 2019 (COVID-19) pandemic and self-directed learning (SDL) ability, which could provide a scientific basis for mental health education of the college students. Methods: A cross-sectional study was conducted among 5,558 students from two universities in Anhui province, East China. The Depression, Anxiety, and Stress Scale-21 (DASS-21) and the Self-directed Learning Ability Scale were used to conduct an online questionnaire survey. Results: A total of 35.15, 36.32, and 17.24% of college students reported symptoms of depression, anxiety, and stress, respectively. Males and nonmedical students were at higher risks to suffer from depression, anxiety, and stress. In adjusted model, compared with Q1 of self-management ability, the odds ratio (OR) of the Q2, Q3, and Q4 were as follows: 0.635 (0.531-0.759), 0.504 (0.415-0.611), and 0.312 (0.248-0.392) for depression; 0.639 (0.535-0.764), 0.653 (0.540-0.789), and 0.421 (0.338-0.525) for anxiety; and 0.649 (0.523-0.805), 0.579 (0.457-0.733), and 0.482 (0.364-0.637) for stress. For information capability, decrease in risk was even more pronounced: Q2 (0.654, 0.540-0.794), Q3 (0.560, 0.454-0.690), and Q4 (0.233, 0.181-0.301) for depression; Q2 (0.781, 0.646-0.945), Q3 (0.616, 0.501-0.757), and Q4 (0.276, 0.216-0.353) for anxiety; and Q2 (0.444, 0.357-0.553), Q3 (0.454, 0.357-0.578), and Q4 (0.272, 0.202-0.368) for stress. Compared with the Q2 group of cooperation learning ability, cooperation learning ability quartiles were positively associated with depression (Q1: 1.382, 95% CI: 1.138-1.678), anxiety (Q4: 1.260, 95% CI: 1.008-1.576), and stress (Q1: 2.002, 95% CI: 1.583-2.532; Q3: 1.600, 95% CI: 1.252-2.044; Q4: 1.674, 95% CI: 1.243-2.255). Conclusion: The prevalence of depression, anxiety, and stress among college students was high for those studying online at home during the COVID-19 pandemic, especially among nonmedical students and males. SDL ability was negatively associated with negative emotions of the college students during this period of online learning.

Anxiety and associated factors among medical college students during COVID-19 epidemic

Objective: To analyze anxiety and its influencing factors of medical college students during the epidemic of COVID-19, so as to provide theoretical basis for targeted mental health promotion.

Depression and anxiety and assciated factors among college students returned to campus during the outbreak of COVID-19

Objective: The purpose of this study was to investigate the state of depression and anxiety and associated factors of back-to-school college students during the outbreak of COVID-19, so as to provide theoretical basis for emotional counseling and psychological crisis intervention after long-term school closure due to epidemic outbreak.

Analysis of mental health and influencing factors of college students in the online learning period during the outbreak of COVID-19

Objective: To investigate the mental health and influencing factors of college students during online learning under the coronavirus disease 2019 (COVID-19) epidemic, and to provide a scientific basis for mental health education.

Analysis of network usage and influencing factors among college students returning to a vocational college during COVID-19 epidemic

Objective: To understand the current situation and influencing factors of Internet addiction among college students after returning to school during the COVID-19 epidemic, and to provide scientific basis for timely intervention measures to adjust the risk factors of Internet addiction.

School adaptation and behavior of the first batch of college students returning to school during the COVID-19 epidemic

Objective: To analyze the school adaptation and behavioral performance of the first batch of students who return to school during the COVID-19 epidemic, and to provide a theoretical basis for further development of corresponding intervention measures.

Sleep quality and influencing factors of college students returning to school during COVID-19 epidemic

Objective: To investigate the sleep quality and influencing factors of the first batch of college students returning to school during COVID-19 epidemic, so as to provide scientific basis for taking corresponding measures.