Regression Analysis of university students' Mental Health and its influencing factors during COVID-19 's epidemic in online Learning (Preprint)

2021 ◽  
Author(s):  
Chu Chunyuan
Keyword(s):  
Mental Health ◽  
Regression Analysis ◽  
Online Learning ◽  
Depressive Symptoms ◽  
University Students ◽  
Influencing Factors ◽  
Anxiety Symptoms ◽  
Detection Rates ◽  
Medical University ◽  
Poor Relationship

BACKGROUND The coronavirus (Covid-19) pandemic is an unprecedented emergency that has affected all global industries, including education,As a global public health emergency, COVID-19 can lead to psychological crises such as post-traumatic stress disorder, anxiety and depression. OBJECTIVE To understand the mental health level of university students during online learning under the epidemic situation of COVID-19 and analyze its influencing factors,so as to provide a scientific basis for mental health education of university students. METHODS From June to July 2020,one medical university and one non-medical university in southern Anhui were selected by cluster sampling, and 3781 medical and non-medical university students were investigated with DASS-21. RESULTS The detection rates of depressive symptoms, anxiety symptoms and stress emotions of literature majors (30.03%,31.05%,14.50%) were lower than those of non-literature majors (44.49%,46.22%,24.81%).The differences were statistically significant (χ2 values were 81.49 and 88.26,63.08,P<0.05, respectively).During the online study,the depressive symptoms and anxiety symptoms of the students in 4 universitys and universities were mainly moderate (18.43%, 20.68%),and the stress was mainly mild (9.41%) and moderate (5.29%).The results of multivariate Logistic regression analysis showed that non-medical students, poor relationship with parents, poor relationship with father, inadequate preparation of teachers before class and dissatisfaction with online teaching were prone to depressive symptoms (OR=1.84,1.28,1.63 and1.75 respectively) and anxiety (OR=1.79,1.22,1.65 and 1.77, respectively) and anxiety symptoms (OR=1.79,1.22,1.65,1.77, respectively) and anxiety (OR=1.79,1.22,1.65,1.77,1.19, respectively). ) and negative stress emotion (OR=2.09,1.41,1.58,1.29,1.48, respectively).Girls are less likely to have depressive symptoms (OR=0.82) and anxiety symptoms (OR=0.74) than boys.University students who live in rural areas are more likely to have anxiety symptoms (OR=1.27).The senior students were more likely to feel the existence of pressure (P < 0.05). CONCLUSIONS The detection rates of depressive symptoms,anxiety symptoms and negative stress emotion are higher in university students during online learning. Families and schools should pay timely attention to the mental health of university students during online learning and provide targeted psychological counseling for students with different characteristics.

scholarly journals Mental health status of Chinese residents during the COVID-19 epidemic

2020 ◽  
Author(s):  
Wen Jiang ◽  
Xuerong Liu ◽  
Jingxuan Zhang ◽  
Zhengzhi Feng
Keyword(s):  
Mental Health ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Depressive Symptoms ◽  
Cognitive Processing ◽  
Multiple Logistic Regression Analysis ◽  
Anxiety Symptoms ◽  
Multiple Logistic Regression ◽  
Processing Bias ◽  
Cognitive Processing Bias

Abstract Background: To investigate the mental health status of Chinese residents during the epidemic of COVID-19, as well as to identify the positive and negative factors and regulatory effect of negative cognitive processing bias on mental health.Methods: A total of 60199 residents in China were surveyed via an internet-based survey containing a general questionnaire, such as the self-rating depression scale, the state anxiety inventory, and the negative cognitive processing bias questionnaire. An ordered multiple logistic regression analysis model was used to analyze the collected data. Results: The survey revealed mild, moderate, and severe depressive symptoms in 62.65%, 11.33%, and 6.14% participants, respectively, and mild, moderate, and severe anxiety symptoms in 33.21%, 41.27%, and 22.99% participants, respectively. Multiple logistic regression analysis showed that factors, such as female gender, being older than 55 years, high school education level, medical staff, marital conflicts, negative attention bias, rumination, and death growth rate, positively affected depression and anxiety symptoms. The good family functionality, democratic working atmosphere, and a myriad of social activities negatively affected the level of depressive and anxiety symptoms.Conclusion: Chinese residents exhibited a high prevalence of anxiety and depressive symptoms during the epidemic. Thus, psychological interventions should focus on the vulnerable groups, and cognitive training should focus on reducing the negative cognitive processing bias. This might be an effective way to alleviate the mental stress of the general public during the COVID-19 pandemic.

scholarly journals Mental health status of Chinese residents during the COVID-19 epidemic

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Wen Jiang ◽  
Xuerong Liu ◽  
Jingxuan Zhang ◽  
Zhengzhi Feng
Keyword(s):  
Mental Health ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Depressive Symptoms ◽  
Cognitive Processing ◽  
Multiple Logistic Regression Analysis ◽  
Anxiety Symptoms ◽  
Multiple Logistic Regression ◽  
Processing Bias ◽  
Cognitive Processing Bias

Abstract Background To investigate the mental health status of Chinese residents during the epidemic of COVID-19, as well as to identify the positive and negative factors and regulatory effect of negative cognitive processing bias on mental health. Methods A total of 60,199 residents in China were surveyed via an internet-based survey containing a general questionnaire, such as the self-rating depression scale, the state anxiety inventory, and the negative cognitive processing bias questionnaire. An ordered multiple logistic regression analysis model was used to analyze the collected data. Results The survey revealed mild, moderate, and severe depressive symptoms in 62.65, 11.33, and 6.14% participants, respectively, and mild, moderate, and severe anxiety symptoms in 33.21, 41.27, and 22.99% participants, respectively. Multiple logistic regression analysis showed that factors, such as female gender, being older than 55 years, high school education level, medical staff, marital conflicts, negative attention bias, rumination, and death growth rate, positively affected depression and anxiety symptoms. The good family functionality, democratic working atmosphere, and a myriad of social activities negatively affected the level of depressive and anxiety symptoms. Conclusion Chinese residents exhibited a high prevalence of anxiety and depressive symptoms during the epidemic. Thus, psychological interventions should focus on the vulnerable groups, and cognitive training should focus on reducing the negative cognitive processing bias. This might be an effective way to alleviate the mental stress of the general public during the COVID-19 pandemic.

scholarly journals Depressive Symptoms among Haramaya University Students in Ethiopia: A Cross-Sectional Study

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Mitiku Teshome Hambisa ◽  
Andualem Derese ◽  
Tilahun Abdeta
Keyword(s):  
Mental Health ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Depressive Symptoms ◽  
University Students ◽  
Logistic Regression Analysis ◽  
Associated Factors ◽  
Mental Health Problems ◽  
Cross Sectional Study ◽  
Cross Sectional

Background. The prevalence of mental health problems including depression is increasing in severity and number among higher institution students, and it has a lot of negative consequences like poor academic performance and committing suicide. Identifying the prevalence and associated factors of mental illness among higher institution students is important in order to administer appropriate preventions and interventions. In Ethiopia, only a few studies tried to report associated factors of depression among university students. Objective. The objective of this study was to determine the prevalence and factors associated with depressive symptoms among Haramaya University students, Ethiopia. Methods. Institution-based, cross-sectional study design was conducted among 1040 students. A standard, self-administered questionnaire was used to get data from a sample of randomly selected 1040 undergraduate university students using a multistage systematic random sampling technique. The questionnaire used was the Beck Depression Inventory (BDI) scale which is a self-report 21-item scale that is used to assess the presence of depressive symptoms. All 21 items are rated on a three-point scale (0 to 3). Each question is scored on a 0 to 3 scale, and total scores range from 0 to 63, with higher scores reflecting greater levels of depressive symptoms. The questionnaire has been well validated as a measure of depressive symptomatology with scores 1-13 indicating minimal depressive symptoms, 14-19 showing mild depressive symptoms, 20-28 showing moderate depressive symptoms, and 29-63 indicating severe depressive symptoms. Logistic regression analysis was used to identify variables independently associated with depressive symptoms after we dichotomized the depressive symptoms screening tool to “yes/no” depressive symptoms. This means students who did not report any depressive symptoms were given “no” depressive symptoms and who reported at least one (≥1) depressive symptoms were given “yes” (depressive symptoms). Results. A total of 1022 (98.3%) out of 1040 students participated in this study. The mean age of participants was 20.9 years (SD±2.17), and the majority of them (76.0%) were male students. Prevalence of depressive symptoms among undergraduate students was 26.8% (95% CI: 24.84, 28.76). Among those who had reported depressive symptoms: 10%, 12%, 4%, and 1% of students reported minimal, mild, moderate, and severe depressive symptoms, respectively. Multivariable logistic regression analysis in the final model revealed that being a first-year student (AOR 6.99, 95% CI: 2.31, 21.15, p value < 0.001), being a second-year student (AOR 6.25, 95% CI: 2.05, 19.07, p value < 0.001), and being a third-year student (AOR 3.85, 95% CI: 1.26, 11.78, p value < 0.018) and being divorced/widowed (AOR 5.91, 95% CI: 1.31, 26.72, p value < 0.021), current drinking alcohol (AOR 2.53, 95% CI: 1.72,3.72, p value < 0.001), current smoking cigarettes (AOR 1.71, 95% CI: 1.02, 2.86, p value < 0.042), and current use of illicit substances (AOR 2.20, 95% CI: 1.26, 3.85, p value < 0.006) were independently associated with depressive symptoms. Having no religion and currently chewing Khat were statistically significantly associated with depressive symptoms in the binary logistic regression analysis but not in the final model. Conclusions. The prevalence of depressive symptoms among university students in this study is high relative to the general population. Sociodemographic factors year of study and current substance use were identified as associated factors of depressive symptoms. Recommendations. This finding suggests the need for the provision of mental health services at the university, including screening, counseling, and effective treatment. Families need to closely follow their students’ health status by having good communication with the universities, and they have to play their great role in preventing depression and providing appropriate treatment as needed. The governments and policy-makers should stand with universities by supporting and establishing matured policies which helps universities to have mental health service centers. Generally, the university and other stakeholders should consider these identified associated factors for prevention and control of mental health problems of university students.

scholarly journals Depression, Anxiety, and Suicidal Ideation in Chinese University Students During the COVID-19 Pandemic

2021 ◽  
Vol 12 ◽  
Author(s):  
Shuang-Jiang Zhou ◽  
Lei-Lei Wang ◽  
Meng Qi ◽  
Xing-Jie Yang ◽  
Lan Gao ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Support ◽  
Depressive Symptoms ◽  
Graduate Students ◽  
Suicidal Ideation ◽  
University Students ◽  
Protective Factors ◽  
Anxiety Symptoms ◽  
Chinese University ◽  
Chinese University Students

Coronavirus disease-2019 (COVID-19) pandemic has seriously threatened the global public health security and caused a series of mental health problem. Current research focuses mainly on mental health status and related factors in the COVID-19 pandemic among Chinese university students. Data from 11133 participants was obtained through an online survey. The Patient Health Question-9 (PHQ-9) was used to assess depressive symptoms, the Social Support Rate Scale (SSRS) was used to assess social support. We also used 7-item Generalized Anxiety Disorder Scale (GAD-7) to assess anxiety symptoms. Totally, 37.0% of the subjects were experiencing depressive symptoms, 24.9% anxiety symptoms, 20.9% comorbid depressive and anxiety symptoms, and 7.3% suicidal ideation. Multivariable logistic regression analysis revealed an increased presence of mental health problems in female students, graduate students, and those with personal COVID-19 exposure. Awareness of COVID-19, living with family were protective factors that reduced anxiety and depression symptoms. In addition, male, personal COVID-19 exposure, depressive and anxiety symptoms were risk factors for suicidal ideation. Social support, COVID-19 preventive and control measures, prediction of COVID-19 trends, living with family and graduate students are protective factors for reducing suicidal ideation.

scholarly journals Mental health status of Chinese residents during the COVID-19 epidemic

2020 ◽  
Author(s):  
Wen Jiang ◽  
Xuerong Liu ◽  
Jingxuan Zhang ◽  
Zhengzhi Feng
Keyword(s):  
Mental Health ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Depressive Symptoms ◽  
Cognitive Processing ◽  
Multiple Logistic Regression Analysis ◽  
Anxiety Symptoms ◽  
Multiple Logistic Regression ◽  
Processing Bias ◽  
Cognitive Processing Bias

Abstract Background: To investigate the mental health status of Chinese residents during the epidemic of COVID-19, as well as to identify the positive and negative factors and regulatory effect of negative cognitive processing bias on mental health.Methods: A total of 60199 residents in China were surveyed via an internet-based survey containing a general questionnaire, such as the self-rating depression scale, the state anxiety inventory, and the negative cognitive processing bias questionnaire. An ordered multiple logistic regression analysis model was used to analyze the collected data. Results: The survey revealed mild, moderate, and severe depressive symptoms in 62.65%, 11.33%, and 6.14% participants, respectively, and mild, moderate, and severe anxiety symptoms in 33.21%, 41.27%, and 22.99% participants, respectively. Multiple logistic regression analysis showed that factors, such as female gender, being older than 55 years, high school education level, medical staff, marital conflicts, negative attention bias, rumination, and death growth rate, positively affected depression and anxiety symptoms. The good family functionality, democratic working atmosphere, and a myriad of social activities negatively affected the level of depressive and anxiety symptoms.Conclusion: Chinese residents exhibited a high prevalence of anxiety and depressive symptoms during the epidemic. Thus, psychological interventions should focus on the vulnerable groups, and cognitive training should focus on reducing the negative cognitive processing bias. This might be an effective way to alleviate the mental stress of the general public during the COVID-19 pandemic.

Relationship between satisfaction with learning outcomes and mental health among medical and engineering students

2020 ◽  
pp. 70-78
Author(s):  
O. Bukhanovskaya ◽  
N. Demcheva
Keyword(s):  
Mental Health ◽  
Academic Performance ◽  
Mental Disorders ◽  
University Students ◽  
Learning Outcomes ◽  
Engineering Students ◽  
Clinical Forms ◽  
Complete Survey ◽  
Medical University

Method of calculating the index of crisis of gratification has been developed on the basis of the complete survey of 995 students of medical university and 804 students of engineering university, determination of clinical and social parameters and factors related to the process of education in the specialized university. It included: a scale for the assessment of the degree of intellectual intensity, academic performance, stress situations related to the peculiarities of education. Reliable differences in values between groups of healthy students, students with preclinical and clinical forms of mental disorders are revealed as a result of calculation of the index of gratification. The authors conclude that satisfaction with the results of education has a significant impact on the mental health of university students.

scholarly journals Depressive Symptoms in Swiss University Students during the COVID-19 Pandemic and Their Correlates

2021 ◽  
Vol 18 (4) ◽  
pp. 1458 ◽  
Author(s):  
Thomas Volken ◽  
Annina Zysset ◽  
Simone Amendola ◽  
Anthony Klein Swormink ◽  
Marion Huber ◽  
...  
Keyword(s):  
Mental Health ◽  
Depressive Symptoms ◽  
University Students ◽  
Mental Health Problems ◽  
Binary Logistic Regression ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
National Population ◽  
Student Cohorts ◽  
Containment Measures

Background: COVID-19 containment measures and the uncertainties associated with the pandemic may have contributed to changes in mental health risks and mental health problems in university students. Due to the high burden of the disease, depression is of particular concern. However, knowledge about the prevalence of depressive symptoms in Swiss university students during the pandemic is limited. We therefore assessed the prevalence of depressive symptoms and their change during the COVID-19 pandemic in a large sample of Swiss university students. Methods: We assessed depressive symptoms in two cross-sectional cohorts of university students (n = 3571) in spring and autumn 2020 during the COVID-19 pandemic and compared them with a matched sample of the Swiss national population (n = 2328). Binary logistic regression models estimated prevalence with corresponding 95% confidence intervals (95% CI). Results: Adjusted prevalence of depressive symptoms in female (30.8% (95% CI: 28.6–33.0)) and male students (24.8% (95% CI: 21.7–28.1)) was substantially higher than in the matching female (10.9% (95% CI: 8.9–13.2)) and male (8.5% (6.6–11.0)) pre-pandemic national population. Depressive symptoms in the two consecutive student cohorts did not significantly differ. Conclusions: More than a quarter of Swiss university students reported depressive symptoms during the COVID-19 pandemic, which was substantially higher as compared to the matched general population. Universities should introduce measures to support students in such times of crisis and gain an understanding of the factors impacting mental health positively or negatively and related to university structures and procedures.

scholarly journals Factors associated with depressive episode among first year University students in Serbia

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
S Čanković ◽  
D Čanković ◽  
I Radić ◽  
D Rakić ◽  
S Ukropina ◽  
...  
Keyword(s):  
Mental Health ◽  
Logistic Regression ◽  
Depressive Symptoms ◽  
University Students ◽  
Depressive Episode ◽  
Social Health ◽  
Support Network ◽  
First Year ◽  
Behavioral Factors ◽  
First Year University

Abstract Background Some findings indicate that university students are at higher risk of depression despite being a socially advantaged population, showing that 15 to 25% of them develop some type of mental disorder during graduation, and depression is one of the most prevalent. The aim of this study was to investigate the prevalence of depressive symptoms and its association with gender, material status, social health, and behavioral factors among university students. Methods The research represents a cross-sectional study conducted at the University of Novi Sad, Serbia. The research involved 455 first-year students. The average age of participants was 19.3 years (72.1% girls and 27.9% boys). Patient Health Questionnaire (PHQ-9) was used to measure depressive symptoms (cut point for depressive episode ≥10). Additional questions were focused on self-assessed material status, social health, and behavioral factors (smoking and alcohol use). The binary logistic regression model was used to estimate the association between depression and observed independent variables. Results The prevalence of moderate to severe depressive episode among students was 18.0%, with no gender differences. Out of the total, 11.0% of students had suicidal thoughts or thoughts of hurting themselves. Multivariable logistic regression showed that self-assessed poor material status (OR = 2.04; 95%CI: 1.06-3.89), self-assessed poor social health (OR = 8.9; 95%CI:4.87-16.42) and smoking (OR = 2.18; 95%CI: 1.09-4.39) were significant predictors of depression among first-year university students. Conclusions High prevalence of depressive episode among university students call for the action for the promotion of mental health, particularly among those of lower socioeconomic status, and points out the importance of social health and social network in the prevention of mental disorders. Key messages Students on the first year of University should be screened for depressive symptoms. It is important to educate students on how to create a strong support network and to implement intervention programs for improving mental health through fostering healthy lifestyles change.

scholarly journals Job Dissatisfaction Mediated the Associations Between Work Stress and Mental Health Problems

2021 ◽  
Vol 12 ◽  
Author(s):  
Dan Qiu ◽  
Ruiqi Li ◽  
Yilu Li ◽  
Jun He ◽  
Feiyun Ouyang ◽  
...  
Keyword(s):  
Mental Health ◽  
Logistic Regression ◽  
Depressive Symptoms ◽  
Path Analysis ◽  
Work Stress ◽  
Mental Health Problems ◽  
Health Problems ◽  
Anxiety Symptoms ◽  
Job Dissatisfaction ◽  
Working Adults

Objective: This study aimed to explore the relationships and the underlying mechanisms between work stress and mental health problems, and potential mediation effects through job dissatisfaction in a working population.Methods: A large population-based study among workers in China was conducted. The self-reported scales of assessing job dissatisfaction and work stress were included in the questionnaire. Generalized Anxiety Disorder-2 and Patient Health Questionnaire-2 were used for assessment of mental health. Univariate logistic regression was conducted to test the associations between work stress and mental health. Path analysis was conducted to test the proposed mediation model.Results: Of the 6,190 included employees, 27.72% reported that they perceived work stress, 14.84% of them reported that they were not satisfied with their work, 5.01% of the employees reported depressive symptoms, and 3.75% of the employees reported anxiety symptoms. The results of univariate logistic regression showed that employees who perceived work stress were more likely to report anxiety symptoms (adjusted odds ratio (AOR) = 2.78; 95% CI: 2.03–3.79) or depressive symptoms (AOR = 1.61; 95% CI: 1.22–2.12). The path analysis showed that work stress was positively associated with job dissatisfaction. Job dissatisfaction mediated the relationship between work stress and mental health problems among Chinese working adults.Conclusion: This study suggests the importance of psychosocial work environment for mental health among Chinese working adults. Work dissatisfaction is a stressor that may induce negative consequences on the mental health among Chinese workers. Interventions to help workers with stress management may be beneficial for their mental health.

scholarly journals The Impacts of Propensity to Worry and Fear of COVID-19 on Mental Health of University Students

2021 ◽  
Vol 8 (4) ◽  
pp. 57-66
Author(s):  
Hacer BELEN
Keyword(s):  
Mental Health ◽  
University Students ◽  
Emotional Stability ◽  
Anxiety Symptoms ◽  
Health Issues ◽  
Penn State Worry Questionnaire ◽  
Penn State ◽  
State Worry ◽  
The Impact ◽  
The Relationship

Epidemics and pandemics are difficult periods for the affected community, specifically in the proliferation of mental health issues. In such adverse times, factors of psychological vulnerability such as propensity to worry and low emotional stability might have a detrimental effect on the mental health of the individuals. To investigate the impact of such factors on mental health, this study examined the impacts of propensity to worry and fear of COVID-19 on anxiety depending on the individuals’ levels of emotional stability. As a means of such investigation, this study was conducted based on quantitative data, and the research sample was selected using a convenient sampling method. Participants included 304 university students (71.6% were women and 28.4% were men; MAge = 22.37 ± 3.04) and responded to the Penn State Worry Questionnaire, Fear of COVID-19 Scale, Symptom Checklist-90 Revised, and 10-Item Personality Inventory. The moderated mediation analysis using PROCESS macro (Model 14) was performed to examine the study hypotheses. Results revealed that propensity to worry was associated with anxiety symptoms. Fear of COVID-19 mediated this link and emotional stability moderated the relationship between propensity to worry and anxiety. The findings showed that trait worry, trait emotional stability, and fear of COVID-19 are determinants of anxiety symptoms, suggesting that such factors are important in understanding these issues.

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