Mental Health Of College Students Research Articles

The Impact of Green Space on University Students’ Mental Health: The Mediating Roles of Solitude Competence and Perceptual Restoration

With the prevalence of mental health problems among college students, perceptual recovery and the sensory dimensions of perception (PSD) have emerged as crucial environment-related factors for psychological well-being. However, there has been relatively limited research on how these factors directly and indirectly impact the restoration experience of college students in green spaces on campuses. Therefore, the aim of this study was to determine the influence of college students’ intrinsic motivation on their psychological well-being when exposed to campus green spaces. Special attention was given to the role of solitude and perceptual recovery in this process. Research Methodology: Based on a literature review and field research, we classified campus green spaces into eight types based on perceptual dimensions. We collected 550 questionnaires on campus, and the data processing involved structural equation modeling (SEM) and mediation analysis. Findings: A positive correlation was found between perceived sensory dimensions and the recovery experience. College students’ perceptual recovery and ability to be alone emerged as mediating variables in this process. In essence, this study sheds light on the mechanism through which intrinsic motivation impacts the mental health of college students when they engage with campus green spaces.

Depression and Anxiety of Portuguese University Students: A Cross-Sectional Study about Prevalence and Associated Factors

Background. The mental health of university students has worsened over time, and it is young people who have suffered the most from the COVID-19 pandemic in terms of mental health. Anxiety and depression are the most common symptoms reported by university students and are often the cause of disabilities, either in academic performance or in other spheres of life. Aim. The aim of this study was to both assess the prevalence of depressive and anxiety symptoms in Portuguese university students and analyze the factors associated with these symptoms. Methods. A quantitative cross-sectional study with a sample of 3,399 university students from seven Portuguese higher education institutions was conducted. The following questionnaires were used: the generalized anxiety disorder assessment scale (GAD-7), the patient health questionnaire (PHQ-9), and a study-created sociodemographic questionnaire. The Kendall correlation coefficient, chi-square test of independence, Spearman correlation coefficient, Shapiro-Wilk test, Mann–Whitney-Wilcoxon test, and Kruskall-Wallis test were used to analyze the association between variables. The statistical analysis was done using the software R Statistics (Version 4.0.4), using a significance level of 0.05. Results. Mild to severe anxiety symptoms were reported by 75% of the participants, and 61.2% described mild to severe depressive symptoms. Of the sample, 19.5% reported a previous diagnosis of a mental disorder, with 38.7% diagnosed after the pandemic began. Additionally, 23% reported taking medication for mental health issues, and 26.7% had considered self-harm or harbored thoughts of being “better off dead.” The study found lower anxiety and depressive symptoms (p<0.05) among men, students with higher socioeconomic status, those who frequently traveled home, individuals without prior mental health diagnoses, those with better academic performance, and those who avoided substances like coffee, tobacco, cannabis, and other illegal psychoactive substances. Interestingly, students in romantic relationships exhibited more anxiety symptoms (p<0.05). Moreover, participants who believed they had experienced moral or sexual harassment displayed higher levels of anxiety and depressive symptoms (p<0.001). Conclusions. There was a decrease in the mental health of university students after the pandemic compared to prepandemic studies, and the proportion of students with anxiety and depressive symptoms was alarming. There is an urgent need to implement programs in universities to promote students’ mental health.

Effects of Online Mindful Somatic Psychoeducation Program on Mental Health During the COVID-19.

This study aims to determine the effects of online mindful somatic psychoeducation program (o-MSP) on mental health in female university students during the coronavirus disease-2019 (COVID-19). Thirty-eight female university students were randomly assigned to an intervention group (IG, n=19) or a control group (CG, n=19). IG received o-MSP for 2-hours per session, twice weekly for 4-weeks; CG maintained their usual daily routine for 4-weeks. Measurements were performed pre- and post-intervention to assess stress, anxiety, and social connectedness using Perceived Stress Scale, State-Trait Anxiety Inventory, and Social Connectedness Scale. A qualitative analysis of changes in soma and social connectedness, subjectification of the soma, and mind-body integration was conducted through online interviews. Regarding stress and social connectedness, there were no significant difference between the groups (p>0.05). However, significant differences were observed in the main effect of time of measurement and time×group interaction, with IG showing significant improvement post-intervention, unlike CG (p<0.05). Regarding anxiety, there were significant differences in the main effect of time of measurement, time×group interaction, and group factor (p<0.05). Post-intervention, CG did not show a significant change, while IG showed a significant decrease (p<0.05). Qualitative analysis revealed that participants experienced "changes in soma and social connectedness," "subjectification of soma-body," and "embodiment of mind-body integration," and reported improved mental health. The o-MSP effectively reduced stress and anxiety in female university students and improved social connectedness. This suggests that o-MSP can be used to manage the mental health of university students in various settings.

Students' mental health during the pandemic: results of the observational cross-sectional COVID-19 MEntal health inTernational for university Students (COMET-S) study.

The aim of the study was to search rates of depression and mental health in university students, during the COVID-19 pandemic. This is an observational cross-sectional study. A protocol gathering sociodemographic variables as well as depression, anxiety and suicidality and conspiracism was assembled, and data were collected anonymously and online from April 2020 through March 2021. The sample included 12,488 subjects from 11 countries, of whom 9,026 were females (72.2%; aged 21.11 ± 2.53), 3,329 males (26.65%; aged 21.61 ± 2.81) and 133 "non-binary gender" (1.06%; aged 21.02 ± 2.98). The analysis included chi-square tests, correlation analysis, ANCOVA, multiple forward stepwise linear regression analysis and Relative Risk ratios. Dysphoria was present in 15.66% and probable depression in 25.81% of the total study sample. More than half reported increase in anxiety and depression and 6.34% in suicidality, while lifestyle changes were significant. The model developed explained 18.4% of the development of depression. Believing in conspiracy theories manifested a complex effect. Close to 25% was believing that the vaccines include a chip and almost 40% suggested that facemask wearing could be a method of socio-political control. Conspiracism was related to current depression but not to history of mental disorders. The current study reports that students are at high risk for depression during the COVID-19 pandemic and identified specific risk factors. It also suggested a role of believing in conspiracy theories. Further research is important, as it is targeted intervention in students' groups that are vulnerable both concerning mental health and conspiracism.

Contribution of Psychological Support to Risky Behavior Management of Selected High-Learning Institution Students: A Case of Kepler College, Rwanda

The students at universities have many things that affect their mental health, including peer pressure, heavy workload, substance abuse, and relationship management. It is a great job to evaluate the contribution of psychological support that mainly helps these students attain a good level of emotional and social interaction and spiritual and mental stability with their families and the community at large as a tool for risky behavior management. The purpose of the study is to assess how psychological support affects managing risky behavior and mental health in university students. The study emphasizes the need to address elements that have an impact on students' mental health, including peer pressure, a demanding workload, drug misuse, and relationship management. Students are given psychological assistance in controlling risky behavior through the application of the theoretical frameworks of Choice Theory, Behavior Theory, and Cognitive Behavior Theory. The study technique includes a census of 100 people: 97 students from cohort 2019B, a career and alumni affairs coordinator, a school counsellor, and an academic advisor. To classify results, data analysis uses coding and tabulation. The study findings dispel the misconception that college students are mature people who do not need help and show that all of them need psychological treatment. According to the report, institutions should provide young people's mental health care a high priority while they are still developing into adolescents. With a correlation value of 0.285, the study found that obtaining mental help and preserving mental stability had notable beneficial associations. Additionally, there was a positive association between seeking out counselling services and using mental assistance to manage activities, with correlation values of 0.500 (p 0.01) and 0.001 (p 0.001, respectively). With a correlation value of 0.625 (p 0.001), a strong positive relationship, social interactions and emotional support were shown to be related.

Has COVID-19 really affected the physical and mental health of university students? One-year follow-up results after the pandemic declaration.

The COVID-19 pandemic affected the whole world and various isolation measures were applied during this period. One of the groups that were physically and mentally affected by this period was students. To investigate the effects of the COVID-19 pandemic on the physical activity (PA) level, attitudes and behaviors related to PA, smoking, perceived stress, and fatigue of university students one-year after the declaration of the pandemic. A total of 102 students (79F/23M, 20.68±1.81 years) who were evaluated face to face with International Physical Activity Questionnaire-Short Form (IPAQ-SF), Cognitive Behavioral Physical Activity Questionnaire (CBPAQ), Perceived Stress Scale (PSS), and Turkish Checklist Individual Strength (CIS-T) Questionnaire before the declaration of the pandemic, were evaluated online with the same questionnaires one-year after the declaration of the pandemic. Although there was no difference in terms of other variables, there was a statistically significant difference in the CBPAQ outcome expectation subscale (p = 0.04). The ΔPSS and ΔCIS-T total had a statistically significant effect on the ΔCBPAQ total (p = 0.003 and p = 0.007), ΔPSS and ΔCIS-T total were independent predictors of ΔCBPAQ total (Δ: before-one year after the declaration of the pandemic)CONCLUSION:University students had positive attitudes and behaviors related to PA and they increased their PA levels, although not significantly, compared to before the declaration of the pandemic. Perceived stress and fatigue may have an effect on attitudes and behaviors related to PA and PA levels. It is thought that university students continue their routines despite the many limitations of the pandemic.

Mental health and leisure time management of university students

Background Leisure time is a period that human beings can freely use to relax, have fun play, and improve themselves in accordance with their tendencies and wishes. Leisure time management is very important in maintaining physical and psychological health as it can enhance mood and relieve depression. Aim To assess the relationship between mental health and leisure time management of university students. Patients and methods A descriptive correlational research design was utilized. A stratified random sample of 1059 university students was included. The study was conducted at two randomly selected faculties: Faculty of Nursing (practical) and Faculty of Arts (theoretical) in Cairo University. Tools Personal characteristics sheet, leisure time activity questionnaire, and the Arabic scale for mental health were utilized. Results 59.8% of the studied sample engage moderately in leisure time activities, 54.1% always spend their leisure time in using social networking, and 62.7% of the studied sample had moderate positive indicators of mental health. Moreover, there was a significant correlation between leisure time management and mental health in university students. Conclusion Leisure time activities have significant effect on mental health of university students. This means that students who make effective use of their leisure time have more positive indicators of mental health. Recommendations Raising awareness of university students about useful leisure time activities that enhance their mental health and rationalizing use of social networking

The Promoting Effect of Organic Integration of Sports and Aesthetic Education on College Students’ Mental Health in the New Era

Abstract College sports is an important part of college education, has the important function of fitness and heart health, and is an important way to cultivate the mental health of college students. This paper selects a representative number of colleges and universities from a certain region as the object of investigation, measures the organic integration of college sports and aesthetic education, and proposes the whole-process teaching design for the organic integration of college sports and aesthetic education after digging into the implementation of aesthetic education in college sports courses. On this basis, two natural classes in a college are taken as experimental objects to carry out intervention experiments on the integration of physical education and aesthetic education, diagnose the mental health level of college students by using the symptom self-assessment scale, and compare the mental health level of college students before and after the experiment by using the mathematical statistics method. The current teaching methods of physical education and aesthetic education are relatively traditional, focusing on the lecture-question-and-answer method (84.8%), the movement demonstration method (77.6%), and the movement decomposition and overall practice method (64.8%). After the teaching experiment, the mental health of the students in the two classes showed significant differences in each factor item (p &lt; 0.05). The mental health level of the students in the class that used the integration of sports and aesthetic education for teaching was reduced by 16.83% and 13.77% compared with the pre experimentation and the control class, respectively. The organic integration of sports and aesthetic education has a certain promotion effect on the mental health of college students.

Research on the Influence of College Ideological and Political Education on Students’ Mental Health Based on Deep Learning

Abstract Psychological health education is the main battlefield for promoting the mental health of college students. This article studies the impact of ideological and political education in universities on the mental health of college students. Research on Student Mental Health Based on DL. A student emotion recognition model based on DL (deep learning) has been established. The separable CNN (Convolutional neural network) is used to detect the face in the image, and the face is located and tracked through the tracker. After normalizing the facial image, it is input into a deep separable CNN for classification. The results indicate that the regression equation can explain 74.106% of the total variation. The political characteristics of Demographics characteristics have a significant impact on college students’ political entity identity, while gender, grade, and major have no significant impact on college students’ Party identification. Social practice and campus culture have a significant positive impact on the political entity identity of college students. Compared with traditional machine learning-based emotion recognition methods, the classification accuracy of the proposed method in this paper has been improved by 8.036%, and research based on DL technology has significant advantages in accuracy.

Development of a Big Data Analysis and Management Decision Support System for Student Mental Health in Higher Education

Abstract In recent years, the number of psychological problems occurring in college students has been increasing day by day, and timely, convenient, and accurate psychological warning is an important way to prevent college students from psychological crises. Starting from the basic needs of the system and aiming at realizing the embedding of data mining technology in the psychological management system, this paper elaborates on the design and implementation of the data mining technology module suitable for the psychological management system. The clustering algorithm-K mean algorithm of data mining is used to distinguish groups of students with different categories of psychological problems, which provides data support for the next decision-making. Through simulation experiments between the system designed in this paper and four other mental health management systems, the clustering performance and system evaluation performance of this paper’s system are better than those of the other systems. The result of mining the mental health of college students through this system shows that 82.2% of the student’s assessment results show normal, and 8.35% of the students need to focus on, and this result is not much different from that obtained from the statistical survey of a personality questionnaire, which indicates that the use of clustering analysis in the system can be an effective prediction of the mental health of college students.

Analysis of the Advancement and Practice of Smart Education Models on Adolescent Physical and Mental Health Education

Abstract This paper utilizes a correlation-based smart prediction model to construct a smart teaching model for mental health. In the ABaisSvd model, the GD algorithm is used to iteratively update the matrix and optimize it by minimizing the error between the reconstructed achievement matrix and the original achievement matrix. The potential impact of attendance behavior and bias factors on grade prediction was also considered, and the prediction function was implemented and optimized after analyzing the correlation between student grades, attendance behavior, and bias factors through dimensionality reduction. According to the analysis of smart psychological teaching practices, 8.1% and 0.65% of students at University X experienced moderate and severe psychological problems, respectively. The smart classroom achieved a score of more than 87 points for the dimensions of appropriate use of educational techniques and obvious educational effects. The level of smart classroom and mental health in Group I was significantly higher than before the experimental intervention. There was no significant change in Group II before and after the intervention. Still, the level of mental health after the intervention (1.75) was also slightly higher than that before the intervention (1.74), and more than half of the students got a sense of theoretical, practical, and emotional gain in wisdom teaching. To sum up, the wisdom education model in this paper has the potential to significantly improve the mental health of college students.

Types of Digital Mindfulness: Improving Mental Health Among College Students - A Scoping Review.

The pressure of learning on students causes mental health problems in students. This can disrupt the student's academic process. The previous review still focused on the impact of digital mindfulness on students, but did not describe the various types of digital mindfulness on students' mental health. A digital image of mindfulness is needed to be a reference for health workers in providing health services to students. The purpose of this study is to describe types of digital-based mindfulness method to improve mental health in university students. The method used in this study was a scoping review. The databases used were CINAHL, PubMed, and Scopus. Search strategy used PRISMA for Scoping Review with keywords namely mindfulness, digital, mental health, and students. The inclusion criteria in this study were student samples, digital-based mindfulness therapy, randomized control trial and quasi-experiment designs, and publication year in the last 10 years (2014-2023). We found that 11 articles about digital-based mindfulness therapy is effective in improving mental health in college students. The types of digital mindfulness carried out are education, counseling, and meditation. Range of samples are 54-561 university students. In addition, there are also counseling services and therapy training guided by facilitators. Information is presented through video and audio that can be accessed at any time by students. Application development is needed by adding monitoring and evaluation features to monitor student compliance in conducting mindfulness therapy and counseling schedules. Then, the role of health workers through holistic mental health services by involving families can improve the process of developing services for students optimally.

The Impact of Dormitory Interpersonal Relationships on Mental Health of College Students and Intervention Strategies

The Impact of Dormitory Interpersonal Relationships on Mental Health of College Students and Intervention Strategies

The impact of physical activity on mental health in college students

The impact of physical activity on mental health in college students

How Emotion Nurtures Mentality: The Influencing Mechanism of Social-Emotional Competency on the Mental Health of University Students

How Emotion Nurtures Mentality: The Influencing Mechanism of Social-Emotional Competency on the Mental Health of University Students

Higher Education Students’ Mental State: Before and After the Post-COVID-19 Era

Background The most significant hurdle to academic achievement is mental health issues. Students with mental illness may struggle academically and socially, which may have a detrimental effect on their prospects of success in both their professional and personal lives. Objectives This paper aims to explore the COVID-19 pandemic’s effects on the educational system, notably on the mental health of university students. It assesses the effects of isolation, social exclusion, social isolation, and quarantine on university students’ psychological and mental health before and after COVID-19. Methodology The present exploration took 330 male and female responses from 9 universities in Bangladesh psychically and online from March 2020 to February 2022 by using a structured questionnaire, when education institutions started their operations in full swing. The 7-item Generalized Anxiety Disorders Scale (GAD-7) (Spitzer et al., 2006) was employed to assess participants’ general stress levels. Findings Findings from the research demonstrated that in contrast to the students who spent the majority of their time in the village both throughout and after the COVID-19 outbreak, the students who spent the majority of their time in the town experienced isolation from society, sleep problems, depression-related feelings of insecurity and uncertainty, and distraction from social media. On the other hand, people who spent the most time in the village throughout and following the COVID-19 outbreak, many had irregular eating habits and social media distractions. Practical uses The outcomes of this inquiry offer ideas and suggestions to reach desirable mental well-being for students in higher education both throughout and following the COVID-19 outbreak. The study’s shortcomings are the small sample size and respondents’ lack of interest.

The Influence of Horticultural Group Counseling Activities on Mental Health of College Students

The Influence of Horticultural Group Counseling Activities on Mental Health of College Students

To Explore the Influence and Enlightenment of Developmental Psychology on Mental Health of College Students

To Explore the Influence and Enlightenment of Developmental Psychology on Mental Health of College Students

An evaluation model for college students mental health based on machine learning algorithm

An evaluation model for college students mental health based on machine learning algorithm

Preliminary Study for Gatekeepers Self-Efficacy Scale among Resident Assistants (GSS- RA)

As the importance of promoting college student mental health increases and campuses work to prevent suicide, resident assistants (RAs) are called upon to serve as gatekeepers to facilitate professional help as a part of suicide prevention initiatives on campuses. However, assessing the efficacy of suicide prevention training is lacking. This study develops and validates the Gatekeepers Self-Efficacy Scale among resident assistants (RAs) based on the Question, Persuade, Response suicide prevention model. Exploratory Factor Analysis (EFA), Parallel Analysis, and Multidimensional Graded Response model (MGRM) were used with 302 RAs sample. Two factors were found, (1) Communicating about Crisis and (2) Knowledge of Resources, with appropriate item fit and parameter estimates. The response patterns of the two factors and their correlations with objective suicide prevention knowledge were estimated and discussed. The implications of these findings for practical application are discussed, along with suggestions for future studies.