A systematic review on the relationship between socioeconomic conditions and emotional disorder symptoms during Covid-19: unearthing the potential role of economic concerns and financial strain DOI Creative Commons
Jee Kei Chan, Aleya A. Marzuki, Samira Vafa

et al.

BMC Psychology, Journal Year: 2024, Volume and Issue: 12(1)

Published: April 26, 2024

Covid-19 has disrupted the lives of many and resulted in high prevalence rates mental disorders. Despite a vast amount research into social determinants health during Covid-19, little is known about whether results are consistent with gradient health. Here we report systematic review studies that investigated how socioeconomic condition (SEC)-a multifaceted construct measures person's standing society, using indicators such as education income, predicts emotional (depression anxiety) risk pandemic. Furthermore, examined which classes SEC would best predict symptoms

Language: Английский

Effect of COVID-19 outbreak on anxiety among students of higher education; A review of literature DOI Open Access
Tony Jehi, Raihan Khan, Hildemar Dos Santos

et al.

Current Psychology, Journal Year: 2022, Volume and Issue: 42(20), P. 17475 - 17489

Published: Jan. 7, 2022

Language: Английский

Citations

69

University Students’ Mental Health and Well-Being during the COVID-19 Pandemic: Findings from the UniCoVac Qualitative Study DOI Open Access
Mayuri Gogoi, Adam Webb, Manish Pareek

et al.

International Journal of Environmental Research and Public Health, Journal Year: 2022, Volume and Issue: 19(15), P. 9322 - 9322

Published: July 30, 2022

The worldwide spread of the coronavirus disease 2019 (COVID-19) pandemic in early 2020 affected all major sectors, including higher education. measures to contain this deadly led closure colleges and universities across globe, disrupting lives millions students subjecting them a new world online learning. These sudden disturbances coupled with demands learning system experiences living through have placed additional strains on mental health university students. Research students’ health, conducted during pandemic, found high levels stress, anxiety depression among In qualitative study, we aimed understand how student well-being by conducting in-depth interviews 34 undergraduate enrolled UK university. All were Microsoft Teams recorded prior permission. Transcripts thematically analysed which identified two broad themes: (i) University pandemic; (ii) factors that influenced well-being. further distributed six sub-themes: (a) isolation; (b) well-being; (c) bereavement; (d) academic concerns; (e) financial worries and; (f) support, coping, resilience. Our study identifies importance support pandemics calls for improve access services these crisis points universities. Findings can also inform risk assessments aftermath pandemic.

Language: Английский

Citations

39

Stress and depression in undergraduate students during the COVID-19 pandemic: Nursing students compared to undergraduate students in non-nursing majors DOI Open Access

Lisa M. Thomas

Journal of Professional Nursing, Journal Year: 2021, Volume and Issue: 38, P. 89 - 96

Published: Dec. 6, 2021

Language: Английский

Citations

47

Trends and prevalence of suicide 2017–2021 and its association with COVID-19: Interrupted time series analysis of a national sample of college students in the United States DOI

Yusen Zhai,

Xue Du

Psychiatry Research, Journal Year: 2022, Volume and Issue: 316, P. 114796 - 114796

Published: Aug. 14, 2022

Language: Английский

Citations

36

Anxiety, Depression, and PTSD among College Students in the Post-COVID-19 Era: A Cross-Sectional Study DOI Creative Commons
Xing Wang, Nan Zhang,

Changqin Pu

et al.

Brain Sciences, Journal Year: 2022, Volume and Issue: 12(11), P. 1553 - 1553

Published: Nov. 15, 2022

In the post-COVID-19 era, significant changes have taken place regarding epidemic, economy, family and social life. However, it remains unclear how these encompass psychological symptoms of college students. We carried out a cross-sectional study to investigate anxiety, depression, post-traumatic stress disorder (PTSD) among students from 10 November 2020, 16 2020. The questionnaire included self-designed canvas, Generalized Anxiety Disorder 7 (GAD-7), Patient Health Questionnaire 9 (PHQ-9), Impact Event Scale (IES-R). Factors associated with were estimated by ordered non-conditional logistic regression analysis. Of 4754 participants, 25.0%, 29.7%, 3.4%, 15.3%, 17.1%, 2.9% reported PTSD symptoms, one, any two, all three, respectively. cases anxiety or depression there was 9.11% comorbidity PTSD. fears being infected, social, family, economic increased risk in caused COVID-19. Female students, identified at lower developing (OR, 0.61, 95% CI: 0.43-0.86). Non-medical majors university, rural residence, higher educational background, fear taking public transport, deterioration relationships for male respondents due correlated had expanded infected extensive Therefore, screening interventions should be consistently strengthened more targeted era.

Language: Английский

Citations

26

Stacking ensemble learning model for predict anxiety level in university students using balancing methods DOI Creative Commons
Alfredo Daza Vergaray, Antonio Arroyo-Paz, Juana Bobadilla Cornelio

et al.

Informatics in Medicine Unlocked, Journal Year: 2023, Volume and Issue: 42, P. 101340 - 101340

Published: Jan. 1, 2023

Anxiety is known as one of the most common health disorders affecting a large part population with high social and personal impact, which affects about 25% people worldwide; it so when comes to anxiety in students, evidenced that 2018, 63% school students United States reported having experienced "excessive anxiety" recent years. The purpose this study was propose method 4 combined models based on Stacking aim predicting levels college students. In addition, an end-user web interface developed best model proposed study. data set used consisted sample undergraduate systems computer Engineering from public university total 284 participants. then cleaned preprocessed using Python program. balancing, were divided into 5 values obtained oversampling performed, distributing according condition. Then portioning balanced proceeded, cross-validation for training. For modeling evaluation, independent algorithms proposed. approach, called 4A: KNN-Ensemble shown obtain results several evaluation metrics. Specifically, following achieved: Accuracy = 97.83%, sensitivity 98.44%, f1-score 97.88%, MCC 97.08% specificity 99.32%, these exceeded those by other algorithms. However, 2A: SVM-Ensemble technique balance achieved value precision metric result 97.83%. This article focuses applying Ensemble identify at early stage among attending Peru. Therefore, method, improvement prediction observed, surpassing performance used.

Language: Английский

Citations

16

COVID-19-related direct and vicarious racial discrimination: Associations with psychological distress among U.S. college students DOI Creative Commons
Anjeli R. Macaranas,

Abdelrahman ElTohamy,

Sunah Hyun

et al.

Journal of Affective Disorders, Journal Year: 2023, Volume and Issue: 325, P. 747 - 754

Published: Jan. 13, 2023

Language: Английский

Citations

14

Depression, Perceived Risk of COVID-19, Loneliness, and Perceived Social Support from Friends Among University Students in Poland, UK, and India DOI Creative Commons
Anna Bokszczanin, Marek Palace, William M. Brown

et al.

Psychology Research and Behavior Management, Journal Year: 2023, Volume and Issue: Volume 16, P. 651 - 663

Published: March 1, 2023

The study examines the prevalence of depression among university students in Poland, UK and India face second pandemic wave COVID-19. paper also protective role perceived social support, hypothesis being that support from friends would reduce depression.The data (N=732) Poland (N=335), (N= 198), (N=199) were collected online during fall/winter 2021. Participants completed measures (CES-D), COVID-19 risk perception index, loneliness (DJGLS), (MSPSS).Almost 52% all participants (58.5% 62.6% UK, 29.1% India) met criteria for major depression. higher levels symptoms associated with a COVID-19, greater loneliness, female gender, younger students' age, lower support. family predicted Polish Indian samples. Structural equation analyses (SEM) revealed indirect effect on association between age This result shows significantly reduced depression, regardless level COVID-19.Our conclusions link to specialists' enhancement psychological help We recommend information campaigns treatment options.

Language: Английский

Citations

13

Student experiences of the COVID‐19 pandemic: Perspectives from first‐generation/lower‐income students and others DOI
Jessica Kiebler, Abigail J. Stewart

Analyses of Social Issues and Public Policy, Journal Year: 2021, Volume and Issue: 22(1), P. 198 - 224

Published: Dec. 7, 2021

ABSTRACT Twenty‐eight University of Michigan students (12 first‐generation/low‐income and 16 from more educated, affluent families) were invited online to provide open‐ended responses photographs representative their experiences during COVID‐19, in a modified Photovoice approach. Given the literature, we expected that cultural mismatch, class stereotypes, relative deprivation would be relevant features accounts self‐identified first‐generation/lower‐income students’ experience, contrast peers. Using thematic analysis, three themes differentiated written two groups students: changed environmental demands, comparison similar or different other students, change continuity availability institutional support . Both shared concerns about issues with mental health, concern for family. While reported they experienced less access space quiet schoolwork, counterparts conditions studying better. Additionally, when comparing themselves others, first‐generation mentioned best guesses while nonfirst‐generation tended compare those like themselves. Finally, wrote continued dedication having fewer resources academic success.

Language: Английский

Citations

28

Need Satisfaction and Depressive Symptoms Among University Students in Hong Kong During the COVID-19 Pandemic: Moderating Effects of Positive Youth Development Attributes DOI Creative Commons
Daniel T. L. Shek, Diya Dou, Xiaoqin Zhu

et al.

Frontiers in Psychiatry, Journal Year: 2022, Volume and Issue: 13

Published: July 7, 2022

As studies on the mental health status of university students during COVID-19 pandemic are almost non-existent in Hong Kong, we examined four research questions this paper: What is prevalence depressive symptoms Kong? socio-demographic correlates symptoms? Do need satisfaction and positive youth development (PYD) attributes, including beliefs about adversity, psychosocial competence (resilience emotional competence) family functioning predict depression? PYD attributes moderate predictive effect We above using Centre for Epidemiologic Studies Depression Scale Revised (CESD-R) 1,648 Kong. For utilized validated measures Chinese competence), functioning. satisfaction, used a measure derived from two focus group interviews involving students. Results showed that 48.4% respondents (95% confidence interval = [45.9%, 51.1%]) scored 16 or (i.e., "at-risk" clinical depression). predicted, age, gender, student (local vs. international), financial hardship were significant symptoms. Besides, negatively predicted depression scores. Finally, multiple regression analyses controlling as covariates all moderated impact depression. The findings reinforce theoretical proposition serve important factors protecting pandemic.

Language: Английский

Citations

22