scholarly journals The Role of Campus Data in Representing Depression Among College Students: Exploratory Research

10.2196/12503 ◽  
2020 ◽  
Vol 7 (1) ◽  
pp. e12503 ◽  
Author(s):  
Guang Mei ◽  
Weisheng Xu ◽  
Li Li ◽  
Zhen Zhao ◽  
Hao Li ◽  
...  
Keyword(s):  
Academic Performance ◽  
Depressive Symptoms ◽  
Correlation Analysis ◽  
Personal Information ◽  
Influencing Factor ◽  
Depression Scale ◽  
Machine Learning Algorithms ◽  
Daily Routine ◽  
Exploratory Research ◽  
Online Questionnaire

Background Depression is a predominant feature of many psychological problems leading to extreme behaviors and, in some cases, suicide. Campus information systems keep detailed and reliable student behavioral data; however, whether these data can reflect depression and we know the differences in behavior between depressive and nondepressive students are still research problems. Objective The purpose of this paper is to investigate the behavioral patterns of depressed students by using multisource campus data and exploring the link between behavioral preferences and depressive symptoms. The campus data described in this paper include basic personal information, academic performance, poverty subsidy, consumption habit, daily routine, library behavior, and meal habit, totaling 121 features. Methods To identify potentially depressive students, we developed an online questionnaire system based on a standard psychometric instrument, the Zung Self-Rating Depression Scale (SDS). To explore the differences in behavior of depressive and nondepressive students, the Mann-Whitney U test was applied. In order to investigate the behavioral features of different depressive symptoms, factor analysis was used to divide the questionnaire items into different symptom groups and then correlation analysis was employed to study the extrinsic characteristics of each depressive symptom. Results The correlation between these factors and the features were computed. The results indicated that there were 25 features correlated with either 4 factors or SDS score. The statistical results indicated that depressive students were more likely to fail exams, have poor meal habits, have increased night activities and decreased morning activities, and engage less in social activities (eg, avoiding meal times with friends). Correlation analysis showed that the somatic factor 2 (F4) was negatively correlated with the number of library visits (r=–.179, P<.001), and, compared with other factors, had the greatest impact on students’ daily schedule, eating and social habits. The biggest influencing factor to poor academic performance was cognitive factor F1, and its score was found to be significantly positively correlated with fail rate (r=.185, P=.02). Conclusions The results presented in this study indicate that campus data can reflect depression and its symptoms. By collecting a large amount of questionnaire data and combining machine learning algorithms, it is possible to realize an identification method of depression and depressive symptoms based on campus data.

scholarly journals The Role of Campus Data in Representing Depression Among College Students: Exploratory Research (Preprint)

2018 ◽  
Author(s):  
Guang Mei ◽  
Weisheng Xu ◽  
Li Li ◽  
Zhen Zhao ◽  
Hao Li ◽  
...  
Keyword(s):  
Academic Performance ◽  
Depressive Symptoms ◽  
Correlation Analysis ◽  
Personal Information ◽  
Influencing Factor ◽  
Depression Scale ◽  
Machine Learning Algorithms ◽  
Daily Routine ◽  
Exploratory Research ◽  
Online Questionnaire

BACKGROUND Depression is a predominant feature of many psychological problems leading to extreme behaviors and, in some cases, suicide. Campus information systems keep detailed and reliable student behavioral data; however, whether these data can reflect depression and we know the differences in behavior between depressive and nondepressive students are still research problems. OBJECTIVE The purpose of this paper is to investigate the behavioral patterns of depressed students by using multisource campus data and exploring the link between behavioral preferences and depressive symptoms. The campus data described in this paper include basic personal information, academic performance, poverty subsidy, consumption habit, daily routine, library behavior, and meal habit, totaling 121 features. METHODS To identify potentially depressive students, we developed an online questionnaire system based on a standard psychometric instrument, the Zung Self-Rating Depression Scale (SDS). To explore the differences in behavior of depressive and nondepressive students, the Mann-Whitney U test was applied. In order to investigate the behavioral features of different depressive symptoms, factor analysis was used to divide the questionnaire items into different symptom groups and then correlation analysis was employed to study the extrinsic characteristics of each depressive symptom. RESULTS The correlation between these factors and the features were computed. The results indicated that there were 25 features correlated with either 4 factors or SDS score. The statistical results indicated that depressive students were more likely to fail exams, have poor meal habits, have increased night activities and decreased morning activities, and engage less in social activities (eg, avoiding meal times with friends). Correlation analysis showed that the somatic factor 2 (F4) was negatively correlated with the number of library visits (<i>r</i>=–.179, <i>P</i>&lt;.001), and, compared with other factors, had the greatest impact on students’ daily schedule, eating and social habits. The biggest influencing factor to poor academic performance was cognitive factor F1, and its score was found to be significantly positively correlated with fail rate (<i>r</i>=.185, <i>P</i>=.02). CONCLUSIONS The results presented in this study indicate that campus data can reflect depression and its symptoms. By collecting a large amount of questionnaire data and combining machine learning algorithms, it is possible to realize an identification method of depression and depressive symptoms based on campus data.

İŞE BAĞLILIĞIN TÜKENMİŞLİK VE DEPRESYON DÜZEYLERİ ÜZERİNDEKİ ETKİLERİ: SAĞLIK ÇALIŞANLARI ÜZERİNDE BİR ARAŞTIRMA

2014 ◽  
Vol 1 (2) ◽  
pp. 206
Author(s):  
Haluk TANRIVERDİ ◽  
Mucize SARIHAN
Keyword(s):  
Regression Analysis ◽  
Correlation Analysis ◽  
Health Workers ◽  
Personal Information ◽  
Depression Scale ◽  
Work Commitment ◽  
Statistical Software ◽  
Research Hospital ◽  
Training And Research

The main purpose of this study is to examine the effects of health workers’ levels of work commitment on the levels of depression and burnout.  Having this purpose in mind, a questionnaire consisting of personal information form, work commitment scale, burnout scale and depression scale was conducted with 266 health workers of İstanbul Kartal Training and Research Hospital in May 2013. Data obtained from questionnaires were analyzed by SPSS 17,0 statistical software. Correlation analysis was utilized in order to determine the relationships among work commitment, burnout and depression levels of health workers whereas regression analysis was utilized in order to determine the effects of health workers’ levels of work commitment on the levels of depression and burnout. According to the results, it has been found that there are statistically relevant relationships among work commitment, burnout and depression levels of health workers. It has been concluded that the more health workers’ levels of work commitment increase, their levels of depression and burnout decrease.

scholarly journals Factors of academic stress: Do they impact English academic performance?

2021 ◽  
Vol 10 (4) ◽  
pp. 1446
Author(s):  
Erlinda D. Tibus ◽  
Sybill Krizzia G. Ledesma
Keyword(s):  
Academic Performance ◽  
Academic Success ◽  
Correlation Analysis ◽  
Time Management ◽  
Academic Stress ◽  
Moderate Level ◽  
Exploratory Research ◽  
Personal Stress ◽  
And Performance ◽  
The Impact

<span>This study investigated the college students’ level of academic performance and determined the impact of academic stress on their English academic performance. This employed a descriptive-exploratory research design with Exploratory Factor Analysis (EFA) and correlation analysis (Pearson r) as main analyses using statistical software. The result suggested that the students (N=250) have a moderate level of stress. Likewise, seven factors were generated through EFA but were reduced to four factors using parallel analysis, the factors are perceived personal stress, classroom stress, performance stress, and time management stress. In the correlation analysis, it was found out that perceived personal stress, classroom stress, and performance stress are significantly correlated except for time management stress. Moreover, these factors were found to have no significant relationship with the English grades of the students. With this result, it is concluded that despite having a moderate level of academic stress, students were able to manage them by using a plethora of coping mechanisms available. The institutions should offer prevention and intervention services that directly address the academic stress of the students to ensure academic success.</span>

İŞE BAĞLILIĞIN TÜKENMİŞLİK VE DEPRESYON DÜZEYLERİ ÜZERİNDEKİ ETKİLERİ: SAĞLIK ÇALIŞANLARI ÜZERİNDE BİR ARAŞTIRMA THE EFFECTS OF WORK COMMITMENT ON THE LEVELS OF BURNOUT AND DEPRESSION: A RESEARCH ON THE HEALTH CARE EMPLOYEES

2014 ◽  
Vol 1 (2) ◽  
pp. 206
Author(s):  
Haluk TANRIVERDİ ◽  
Mucize SARIHAN
Keyword(s):  
Health Care ◽  
Regression Analysis ◽  
Correlation Analysis ◽  
Health Workers ◽  
Personal Information ◽  
Depression Scale ◽  
Work Commitment ◽  
Statistical Software ◽  
Health Care Employees ◽  
Training And Research

The main purpose of this study is to examine the effects of health workers’ levels of work commitment on the levels of depression and burnout.  Having this purpose in mind, a questionnaire consisting of personal information form, work commitment scale, burnout scale and depression scale was conducted with 266 health workers of İstanbul Kartal Training and Research Hospital in May 2013. Data obtained from questionnaires were analyzed by SPSS 17,0 statistical software. Correlation analysis was utilized in order to determine the relationships among work commitment, burnout and depression levels of health workers whereas regression analysis was utilized in order to determine the effects of health workers’ levels of work commitment on the levels of depression and burnout. According to the results, it has been found that there are statistically relevant relationships among work commitment, burnout and depression levels of health workers. It has been concluded that the more health workers’ levels of work commitment increase, their levels of depression and burnout decrease.

scholarly journals Anxiety, Depression and Academic Performance: A Study Amongst Portuguese Medical Students Versus Non-Medical Students

2018 ◽  
Vol 31 (9) ◽  
pp. 454 ◽  
Author(s):  
João Moreira de Sousa ◽  
Cátia A. Moreira ◽  
Diogo Telles-Correia
Keyword(s):  
Academic Performance ◽  
Depressive Symptoms ◽  
Medical Students ◽  
Depression Scale ◽  
Well Being ◽  
Cross Sectional Study ◽  
Anxiety Symptoms ◽  
Chi Square ◽  
Cross Sectional ◽  
Poor Academic Performance

Introduction: The aim of the study is to assess the prevalence of anxiety and depressive symptoms in Portuguese medical students compared to students of other faculties, and the possible impact those symptoms have on academic performance.Material and Methods: A cross-sectional study was conducted in a sample of 750 students: 512 medical students and 238 nonmedical students. All students anonymously completed a socio-demographic survey and the Hospital Anxiety and Depression Scale (HADS). Statistical analysis was performed using the chi-square test, Mann-Whitney test, Spearman correlation coefficient or Kruskal-Wallis test.Results: We found a prevalence of 21.5% (n = 161) for anxiety symptoms and 3.7% (n = 28) for depressive symptoms. Being a medical student was more significantly associated with symptoms of anxiety (p = 0.034) compared with other students. Depressive symptoms were slightly associated with poor academic performance (p < 0.01). A percentage of 59.6% (n = 96) of students with anxiety symptoms and 46.4% (n = 13) of students with depressive symptoms did not seek medical or psychological care at that time.Discussion: Medical students in this sample seem to have more symptoms of anxiety, possibly explained by a higher number of female students in that sample. Depressive symptoms could be associated with poor academic performance in both groups, but an evident correlation was not established.Conclusion: Considering the high levels of anxiety symptoms, the possible impact of depressive symptoms in academic performance and the lack of psychiatric or psychological follow-up reported in this study, it is urgent to develop adequate means of support to improve students’ well-being and mental health.

scholarly journals The Impact of the COVID-19 Pandemic on Vulnerable People Suffering from Depression: Two Studies on Adults in France

2021 ◽  
Vol 18 (6) ◽  
pp. 3250
Author(s):  
Natalia Martinelli ◽  
Sandrine Gil ◽  
Johann Chevalère ◽  
Clément Belletier ◽  
Guillaume Dezecache ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Risk Behaviors ◽  
Health Risk Behaviors ◽  
Psychological Effects ◽  
Daily Routine ◽  
Online Questionnaire ◽  
Perceived Vulnerability ◽  
Large Samples ◽  
Health Related ◽  
The Impact

This study investigated the difficulties experienced by people suffering from depression in coping with the stressful context of the COVID-19 pandemic and the lockdown. Two large samples of the French population were classified on the basis of their depressive symptoms and completed an online questionnaire on their emotions and their behaviors during the lockdown. Results showed that, compared to participants with no or mild mental health-related symptoms, participants with moderate to severe depressive symptoms suffered from greater psychological effects of the pandemic and the lockdown (fear, anxiety, sadness, sleep quality, loss of daily routine). However, health risk behaviors (smoking, drinking, non-compliance with lockdown and barrier gestures) and perceived vulnerability did not differ between the participant groups, although more severely depressed participants tended to be less respectful of health guidelines. In addition, the most heightened effects on the depressed participants were boredom and the feeling of social isolation, which was not compensated by the search for social affiliation. Supporting people with depression should be a public health priority because they suffer psychologically more than others from the pandemic and the lockdown.

scholarly journals Depressive Symptoms and the Link with Academic Performance among Rural Taiwanese Children

2020 ◽  
Vol 17 (8) ◽  
pp. 2778 ◽  
Author(s):  
Yujuan Gao ◽  
Derek Hu ◽  
Evan Peng ◽  
Cody Abbey ◽  
Yue Ma ◽  
...  
Keyword(s):  
At Risk ◽  
Academic Performance ◽  
Depressive Symptoms ◽  
Low Income ◽  
Depression Scale ◽  
Risk Groups ◽  
Epidemiological Studies ◽  
Depression Score ◽  
School Students ◽  
High Prevalence

Previous studies reflect a high prevalence of depressive symptoms among Taiwanese adolescents (ages 13–18), but there is an absence of literature related to the risk of depression of children in Taiwan (ages 6–12), particularly among potentially vulnerable subgroups. To provide insight into the distribution of depressive symptoms among children in rural Taiwan and measure the correlation between academic performance, we conducted a survey of 1655 randomly selected fourth and fifth-grade students at 92 sample schools in four relatively low-income counties or municipalities. Using the Center for Epidemiological Studies-Depression Scale (CES-D) we assessed the prevalence of depressive symptoms in this sample, in addition to collecting other data, such as performance on a standardized math test as well as information on a number of individual and household characteristics. We demonstrate that the share of children with clinically significant symptoms is high: 38% of the students were at risk of general depression (depression score ≥ 16) and 8% of the students were at risk of major depression (depression score > 28). The results of the multivariate regression and heterogeneous analysis suggest that poor academic performance is closely associated with a high prevalence of depressive symptoms. Among low-performing students, certain groups were disproportionately affected, including girls and students whose parents have migrated away for work. Results also suggest that, overall, students who had a parent who was an immigrant from another country were at greater risk of depression. These findings highlight the need for greater resource allocation toward mental health services for elementary school students in rural Taiwan, particularly for at-risk groups.

scholarly journals Effect of COVID-19 Quarantine on the Sleep Quality and the Depressive Symptom Levels of University Students in Jordan During the Spring of 2020

2021 ◽  
Vol 12 ◽  
Author(s):  
Heba Saadeh ◽  
Maha Saadeh ◽  
Wesam Almobaideen ◽  
Assem Al Refaei ◽  
Nour Shewaikani ◽  
...  
Keyword(s):  
Mental Health ◽  
Depressive Symptoms ◽  
University Students ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Depression Scale ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Online Questionnaire ◽  
Cross Sectional

Objectives: This study was designed to assess the effect of COVID-19 home quarantine and its lifestyle challenges on the sleep quality and mental health of a large sample of undergraduate University students in Jordan. It is the first study applied to the Jordanian population. The aim was to investigate how quarantine for several weeks changed the students' habits and affected their mental health.Methods: A cross-sectional study was conducted using a random representative sample of 6,157 undergraduate students (mean age 19.79 ± 1.67 years, males 28.7%) from the University of Jordan through voluntarily filling an online questionnaire. The Pittsburgh Sleep Quality Index (PSQI) and the Center for Epidemiologic Studies-Depression Scale (CES-D) were used to assess sleep quality and depressive symptoms, respectively.Results: The PSQI mean score for the study participants was 8.1 ± 3.6. The sleep quality of three-quarters of the participants was negatively affected by the extended quarantine. Nearly half of the participants reported poor sleep quality. The prevalence of poor sleep quality among participants was 76% (males: 71.5% and females: 77.8%). Similarly, the prevalence of the depressive symptoms was 71% (34% for moderate and 37% for high depressive symptoms), with females showing higher prevalence than males. The overall mean CES-D score for the group with low depressive symptoms is 9.3, for the moderate group is 19.8, while it is 34.3 for the high depressive symptoms group. More than half of the students (62.5%) reported that the quarantine had a negative effect on their mental health. Finally, females, smokers, and students with decreased income levels during the extended quarantine were the common exposures that are significantly associated with a higher risk of developing sleep disturbances and depressive symptoms.Conclusions: Mass and extended quarantine succeeded in controlling the spread of the COVID-19 virus; however, it comes with a high cost of potential psychological impacts. Most of the students reported that they suffer from sleeping disorders and had a degree of depressive symptoms. Officials should provide psychological support and clear guidance to help the general public to reduce these potential effects and overcome the quarantine period with minimum negative impacts.

Maternal anxiety and depression in pregnancy and DNA methylation of the NR3C1 glucocorticoid receptor gene

Epigenomics ◽  
2020 ◽  
Author(s):  
Alexandra E Dereix ◽  
Rachel Ledyard ◽  
Allyson M Redhunt ◽  
Tessa R Bloomquist ◽  
Kasey JM Brennan ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Depressive Symptoms ◽  
Trait Anxiety ◽  
Cpg Island ◽  
Depression Scale ◽  
Maternal Anxiety ◽  
Anxiety And Depression ◽  
Pregnancy Anxiety ◽  
Glucocorticoid Receptor Gene ◽  
Island Shore

Aim: To quantify associations of anxiety and depression during pregnancy with differential cord blood DNA methylation of the glucorticoid receptor ( NR3C1). Materials & methods: Pregnancy anxiety, trait anxiety and depressive symptoms were collected using the Pregnancy Related Anxiety Scale, State-Trait Anxiety Index and Edinburgh Postnatal Depression Scale, respectively. NR3C1 methylation was determined at four methylation sites. Results: DNA methylation of CpG 1 in the NR3C1 CpG island shore was higher in infants born to women with high pregnancy anxiety (β 2.54, 95% CI: 0.49–4.58) and trait anxiety (β 1.68, 95% CI: 0.14–3.22). No significant association was found between depressive symptoms and NR3C1 methylation. Conclusion: We found that maternal anxiety was associated with increased NR3C1 CpG island shore methylation.

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