| Literature DB >> 35897264 |
Wandeep Kaur1, Vimala Balakrishnan2, Yoke Yong Chen3, Jeyarani Periasamy4.
Abstract
The impact of COVID-19 has forced higher education institutes to go into lockdown in order to curb the situation. This sudden change caused students within the institutions to forgo traditional face to face classroom settings and to attend immediate online classes. This review aims to summarize the evidence of the social demographic mental health impacts of the COVID-19 pandemic on students in higher education institutes within the Asia Pacific region and identify the coping mechanisms adopted during these times. A systematic literature search was conducted using three databases (PubMed, Google Scholar, and Scopus), out of which 64 studies met the inclusion/exclusion criteria. The findings revealed that the social demographic groups most at risk were female students, those who were in the final years of their studies (i.e., students who were almost graduating), and postgraduate students as well as students studying medical fields (nursing, dental, medicine, health sciences etc.). The majority of the studies identified that students were relying on mobile devices and extended screen time to cope with the pandemic. Having proper social support, be it through a network of friends or positive family cohesion, can be a good buffer against the mental impacts of COVID-19. Students in higher education institutes are at risk of mental consequences due to COVID-19. By reducing their screen time, finding a healthier coping system, increasing the availability of support within the family and community, as well as actively engaging in beneficial activities students may be able to alleviate general negative emotions, specifically during the pandemic.Entities:
Keywords: Asia Pacific; COVID-19; anxiety; depression; higher education; mental health; stress; students
Mesh:
Year: 2022 PMID: 35897264 PMCID: PMC9329973 DOI: 10.3390/ijerph19158894
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1Flow diagram that describes the flow of information through the review’s study search and selection.
Description of Published Research Articles Included in Scoping Review (N = 64).
| Study Characteristics | Number of Studies ( | Percentage (%) |
|---|---|---|
| Year of publication | ||
| 2020 | 38 | 59 |
| 2021 | 26 | 41 |
| Region | ||
| East Asia | 28 | 44 |
| South Asia | 17 | 27 |
| Southeast Asia | 2 | 3 |
| Oceania | 2 | 3 |
| North America | 14 | 22 |
| Multiple | 1 | 1 |
| Study Design | ||
| Cross sectional | 51 | 80 |
| Longitudinal | 6 | 9 |
| 1 Others | 6 | 9 |
| Not mentioned | 1 | 2 |
| Sample Size | ||
| <100 | 1 | 2 |
| 100–999 | 38 | 59 |
| 1000–4999 | 17 | 27 |
| ≥5000 | 8 | 12 |
| Target Respondents (Cohort) | ||
| Medical students (including dental and nursing and health science) | 11 | 17 |
| University and college students | 53 | 83 |
| Scale Used | ||
| GAD-7 | 18 | 28 |
| PHQ | 18 | 28 |
| DASS-21 | 11 | 17 |
| 2 Others | 33 | 51 |
Note: 1 Others: mix method/cluster sampling/snowball sampling/interviews; GAD-7: 2 Generalized Anxiety Disorder Scale; PHQ: Patient Health Questionnaire; DASS-21: Depression, Anxiety, and Stress Scale; 2 Others: Perceived Stress Scale; Short Mood and Feelings Questionnaire; CESD: Centre for Epidemiological Studies Depression; SDS: Self-rating Depression Scale; HADS: Hospital Anxiety and Depression Scale; Alcohol Use Disorders Identification Test (AUDIT); Zhung’s Self Rating Anxiety Scale; UCLA Loneliness Scale.
Summary of studies on the mental health symptoms with corresponding factors among students.
| Mental Health Symptoms | Number of Studies ( | Factors Identified |
|---|---|---|
| Depressive Symptoms | 34 | Gender, age, year of study, study discipline, career concerns, academic concerns, geographical location, fear of COVID-19, race |
| Anxiety symptoms | 39 | Gender, age, year of study, study discipline, economic stressors and financial constraints, career concerns, academic concerns, geographical location, lack of outdoor activity |
| Stress | 16 | Gender, age, year of study, study discipline, economic stressors and financial constraints, social support, living condition, career concerns, academic concerns, stigmatization |
| Psychological Distress | 11 | Self-esteem, gender, study discipline, year of study, underlying medical vulnerabilities |
Note: Year of Study: first year, second year, senior year etc.; Study discipline: medical, law, engineering etc.; Geographical location: rural/urban; Living condition: alone or with family/friends; Psychological distress: posttraumatic stress disorder, mood disorder etc.
Summary of studies on the coping mechanisms adopted by students.
| Coping Mechanism | Studies |
|---|---|
| Increased screen time | [ |
| Maladaptive coping mechanism | [ |
| Social Support | [ |
| Religious/Spiritual | [ |
| Staying active | [ |