Prevalence and Associated Factors of Complains on Depression, Anxiety, and Stress in University Students: An Extensive Population-Based Survey in China

Psychological Flexibility Profiles and Mental Health Among University Students with Left-Behind Experience: A Latent Profile Analysis

The left-behind experience as an adverse childhood experience has a negative impact on the mental health of university students. Psychological inflexibility mediated the relationship between adverse childhood experiences and mental disorders, but no similar findings were drawn in psychological flexibility (PF). More research is needed to understand the relationship between PF and mental health of university students with left-behind experience. To investigate the relationship between PF profiles and mental health and sleep quality of university students with left-behind experience based on latent profile analysis. A sample of 1988 Chinese university students with left-behind experience were recruited to complete an online survey. Participants provided demographic information and completed validated measures of PF and mental health. Latent profile analysis was used to identify patterns of PF, and logistic regression analysis was used to examine the relationships among these variables. We found four PF profiles among participants, with the largest number being the moderately flexible profile (n = 808, 40.6%). The level of PF was positively correlated with mental health and sleep quality (all P < 0.001). Females, being left behind at a young age and for a long time, and having little contact with parents were associated with low PF (all P < 0.05). Our study highlights the importance of focusing on the PF of university students with left-behind experience and left-behind children, and the need for interventions to improve their PF and thus their mental health.

Developmental trajectories of depression, anxiety, and stress among college students: a piecewise growth mixture model analysis

Mental health issues are becoming increasingly common among college students, but not all students follow the same developmental trends of mental health. This study aims to identify the developmental trajectories of depression, anxiety, and stress among college students and the related factors for different trajectory classes. The data were collected from a longitudinal survey of college students over four consecutive years, and 2473 students were included in the analysis. The study used a piecewise growth mixture model to determine the subtrajectories, and a multinomial logistic regression model was constructed to investigate the related factors affecting students in subtrajectories. The results revealed that subtrajectories include the low and stable class, increasing class, decreasing then stable class, increasing then decreasing class, and decreasing and high class. The decreasing and high class only presents in the trajectories of anxiety and stress. Regarding related factors, high BMI and high sleep hours were identified as related factors for the increasing class of depression; gender and high sleep hours were associated with the increasing class of anxiety; and hometown location was related to the increasing class of stress. Extroversion personality, relationship with classmates, siblings, and father’s education level are related factors for other subtrajectories. Considering that college students experience multiple trajectories of depression, anxiety, and stress, mental health education and psychological intervention should be carried out for students in each class.

Moderating role of mental health literacy on the relationship between bullying victimization during the life course and symptoms of anxiety and depression in Chinese college students

BACKGROUND

Exposure to persistent bullying victimization across multiple periods results in a high risk of worse consequences. Although amples studies support the association between bullying victimization and symptoms of anxiety and depression, whether mental health literacy can serve as a moderator on this relationship remains unknown. Therefore, the aim of this study was to examine the patterns of bullying victimization across the life course, and disentangle the moderating effect of mental health literacy between bullying victimization patterns and symptoms of anxiety and depression in Chinese college students.

METHODS

A total of 4036 college students were enrolled by cluster sampling from November 2020 to January 2021. Bullying victimization, mental health literacy, and symptoms of anxiety and depression were measured by self-report validated questionnaires. A latent class analysis was applied to identify bullying patterns. The PROCESS program was conducted to analyze whether mental health literacy moderates the link between bullying victimization patterns and symptoms of anxiety and depression.

RESULTS

Three latent patterns of bullying victimization were identified as follows: persistent bullying pattern (6.2%), moderate bullying pattern (10.5%), and low bullying pattern (83.3%). Logisitic regression analysis of anxiety and depressive symptoms indicated that compared with low bullying pattern, persistent bullying pattern had the highest risk. Specifically, mental health literacy moderated the association between bullying victimization pattern and anxiety symptoms (B = -0.039, P < 0.05).

CONCLUSIONS

It is important for practitioners to examine bullying victimization across the life course concurrently rather than a single period in isolation. Interventions and research should enhance mental health literacy to improve the mental health in college students with a history of bullying victimization.

Criteria for detection of possible risk factors for mental health problems in undergraduate university students

Introduction

Developing approaches for early detection of possible risk clusters for mental health problems among undergraduate university students is warranted to reduce the duration of untreated illness (DUI). However, little is known about indicators of need for care by others. Herein, we aimed to clarify the specific value of study engagement and lifestyle habit variables in predicting potentially high-risk cluster of mental health problems among undergraduate university students.

Methods

This cross-sectional study used a web-based demographic questionnaire [the Utrecht Work Engagement Scale for Students (UWES-S-J)] as study engagement scale. Moreover, information regarding life habits such as sleep duration and meal frequency, along with mental health problems such as depression and fatigue were also collected. Students with both mental health problems were classified as high risk. Characteristics of students in the two groups were compared. Univariate logistic regression was performed to identify predictors of membership. Receiver Operating Characteristic (ROC) curve was used to clarify the specific values that differentiated the groups in terms of significant predictors in univariate logistic analysis. Cut-off point was calculated using Youden index. Statistical significance was set at p < 0.05.

Results

A total of 1,644 students were assessed, and 30.1% were classified as high-risk for mental health problems. Significant differences were found between the two groups in terms of sex, age, study engagement, weekday sleep duration, and meal frequency. In the ROC curve, students who had lower study engagement with UWES-S-J score < 37.5 points (sensitivity, 81.5%; specificity, 38.0%), <6 h sleep duration on weekdays (sensitivity, 82.0%; specificity, 24.0%), and < 2.5 times of meals per day (sensitivity, 73.3%; specificity, 35.8%), were more likely to be classified into the high-risk group for mental health problems.

Conclusion

Academic staff should detect students who meet these criteria at the earliest and provide mental health support to reduce DUI among undergraduate university students.

Mindfulness-based interventions to reduce anxiety among Chinese college students: A systematic review and meta-analysis

Mindfulness-based interventions are found to have a positive effect on an individual's mental health. Using a meta-analysis method, this study examined the effects of mindfulness-based interventions on alleviating anxiety among Chinese college students. Using six international and two Chinese electronic databases, we comprehensively researched literature published between 1 January 2012 and 31 December 2021. The literature was then carefully selected and classified. The literature selection, data extraction, and quality assessment were all independently conducted by two members of the research team; any disagreements were resolved through consultation with a third researcher. A total of 11 original articles met all the eligibility criteria and were included in the meta-analysis. The meta-analysis revealed that mindfulness-based interventions have a positive effect on the remission of anxiety among Chinese college students. This confirms the need to generalize mindfulness-based interventions as a form of treatment and prevention for anxiety among Chinese college students.

Prevalence and variables associated with depression, anxiety, and stress among Chilean higher education students, post-pandemic

Background

Mental health among university students is a public health problem in Chile, understanding that this population is susceptible to mental disorders.

Objective

The present study aimed to determine the prevalence and variables influencing depression, anxiety, and stress in Chilean university students.

Method

A representative sample (n = 1,062) of Chilean university students and a cross-sectional study design were used. Bivariate analysis and multiple logistic regression were performed to identify risk factors associated with symptomatology. They were analyzed using descriptive statistics. A questionnaire with sociodemographic variables was applied in November 2022, in addition to the depression anxiety stress scale (DASS-21), instruments with excellent reliability in this population (α = 0.955; ω = 0.956). On the other hand, the Questionnaire of Problematic Alcohol and Drug Consumption (DEP-ADO) was applied. A descriptive analysis was performed, followed by bivariate analysis and multiple logistic regression using SPSS version 25. The variables showed a value of p <0.05; they were declared statistically significant in the final model. Odds ratios (OR) were adjusted to a 95% confidence interval (95% CI), which was used to determine the independent predictors.

Results

The prevalence of mental health problems in this population was high, with depressive symptoms in 63.1% of the sample; 69.2% with anxiety; 57% with stress; 27.4% with problematic alcohol consumption; and 14.9% with inappropriate marijuana consumption. Some 10.1% of the sample reported daily medication with antidepressants and/or anxiolytics. Concerning significant variables for depression, these were: being female, belonging to sexual, not having children, having problematic marijuana use, and using prescription drugs. Concerning anxiety, the significant variables were being a woman, belonging to sexual minorities, being an adolescent, and consuming prescription medication. Finally, concerning stress, the significant variables were being a woman, belonging to sexual minorities, being a student dedicated exclusively to academic activities, and taking prescription medication.

Conclusion

Chilean university students presented a high prevalence of anxiety, depression, and stress, where being female and belonging to sexual minorities seem to be the variables that have the greatest impact on susceptibility to mental health problems. These results should call the attention of political and university authorities in Chile to improve this population's mental health and quality of life since they are the following professional generation of our country.

Analysis of Influencing Factors of Psychological Intervention on International Students in China after COVID-19: Hainan Province, China

Objectives: In the post-covid-19 era, students face numerous mental health-related effects. Returning to Chinese institutions, international students in China experienced mental health issues (anxiety and stress). These overseas students' psychological issues are obstacles to their academic performance in China. Students' fear restructured their ability to think critically and execute effectively. Consequently, the framework of this study is intended to emphasize the beneficial effects of offline activities, physical activity, and classroom activities on reducing anxiety among international students in China. Methods: This study is predicated on survey data acquired using a five-point Likert scale. 317 responses were received from overseas students enrolled in Hainan universities. Results: The findings show that offline, physical, and classroom activities substantially impact the anxiety reduction of overseas students in China. The study's contribution to the literature is a fresh concept that previous research has not addressed. In addition, this research has significant theoretical and practical consequences for both knowledge and findings. Conclusion: The study has given a paradigm for relieving anxiety among overseas students in China by addressing a research gap. Meanwhile, this study's limitations provide a roadmap for researching further areas of literature in the future.

Investigation on Depression of College Students Majoring in Physical Education and Nonphysical Education: A StudyBased on the Age Region and Gender of 374 Students

In the research on the relationship between depression and college students' major, there are some differences in the degree of depression between sports major and nonsports major students. Based on these results, we assume that there is the possibility of emotional differences between professional and nonprofessional sports. A total of 374 samples of students majoring in physical education and nonphysical education at the same university were analyzed by using the methods of literature review and data analysis. A total of 188 subjects, including 121 males and 253 females (186 majoring in sports and nonsports), were asked to fill in the SDS (Self-Rating Depression Scale). SDS is widely used in rough screening, emotional state evaluation, investigation, and scientific research of outpatients in clinical psychology departments. The research obtained the difference in depression degree in the whole sample and further compared the depression degree of students of different ages and native places. Statistical analysis was performed on all data using SPSS 23.0 software. Basic data description, paired chi-square analysis, and covariance analysis were used. The results show that in this sample, the maximum value (minimum/maximum value) of one item of the total depression score of nonphysical education students exceeds the average value by 3 standard deviations, and this shows that the general level of depression scores of non-PE majors is high; most non-PE majors are in mild depression, which is equal to the number of PE majors who are in a normal mood; and nonsports majors in cities are more likely to have mild depression.