scholarly journals The COVID-19 pandemic, well-being, and transitions to post-secondary education

2021 ◽  
Author(s):  
Malte Sandner ◽  
Alex Patzina ◽  
Silke Anger ◽  
Sarah Bernhard ◽  
Hans Dietrich

This study examines the immediate and intermediate effects of the COVID-19 pandemic on the well-being of two high school graduation cohorts (2020 and 2021). We also investigate how changes in well-being at the transition to post-secondary education affect educational plans and outcomes. Our unique panel data contain prospective survey information on three dimensions of well-being: mental health problems, self-rated health, and life satisfaction for 3,697 students. Data is collected several months before (fall 2019), shortly before and soon after (spring 2020), and several months after (fall/winter 2020/21) the outbreak of the COVID-19 pandemic. Applying difference-in-differences designs, random effect growth curve models, and linear regression models, we find that school closures had a positive immediate effect on students’ well-being. Over the course of the pandemic, however, well-being strongly declined, mainly concentrated among the 2021 graduation cohort. Finally, we show that a strong decline in mental health is associated with changes in educational and career plans and transition outcomes. As adverse life experiences in adolescence are likely to accumulate over the life course, this study is the first to exhibit potential long-lasting negative effects of the COVID-19 pandemic on education and careers of young individuals.

Author(s):  
Jenny Martin ◽  
Elspeth McKay

The primary aim of this chapter is to explore the use of information and communications technology (ICT) in post-secondary education to provide opportunities for students with mental health difficulties to remain engaged in their studies during times of mental illness. Higher incompletion rates are particularly concerning amongst this group. The authors discuss how improved outcomes can be achieved through effective use of ICT. This is particularly important from a human rights perspective so that people diagnosed with mental illness are afforded the same opportunities as other members of the community. Strategies afforded by ICT tools that are essential for supporting students with mental illness to optimise their chances of success in their post-secondary education outcomes are outlined. The authors combine mental health and human-computer interaction (HCI) to argue for the need to design appropriate instructional ICT strategies to support students experiencing mental illness to remain engaged with their studies. ICT has evolved with powerful and unique features, offering special applications such as educational software, eCommerce, and healthcare. Yet, very little is being said about how to streamline these applications as effective HCI environments to enhance mental health and wellbeing. The chapter explores the positive and negative impact of ICT tools on teaching and learning. In considering mental health and post-secondary education, it focuses on human rights issues of access and equity, disclosure, and stigma. Authors suggest that ICT can enable students to remain engaged with their learning in general, while at the same time promote a deep sense of community.


2020 ◽  
Author(s):  
Dhan Bahadur Shrestha ◽  
Bikash Bikram Thapa ◽  
Nagendra Katuwal ◽  
Bikal Shrestha ◽  
Chiranjibi Pant ◽  
...  

Abstract BackgroundCOVID-19 pandemic has created unprecedented health and economic impact. Psychological stress, anxiety and depression are affecting not only COVID-19 patients but also health professionals, and general population. Fear of contracting COVID-19, forced restrictive social measures, and economic hardship are causing mental trauma. Nepal is a developing country from South Asia where the COVID-19 pandemic is still evolving. This online survey has been carried out to understand impact of COVID- 19 on mental health of Nepalese community dwellers.MethodsThe COVID-19 Peritraumatic Distress Index (CPDI) questionnaire adapted from the Shanghai Mental Health Centre was used for online data collection from 11 April-17 May 2020. Collected data were extracted to Microsoft excel-13 and imported and analyzed using SPSS (Statistical Package for Social Sciences) version-22. An initial univariate analysis was conducted for all variables to assess the distribution. Logistic regression analyses were done to estimate the odds ratios of relevant predicting variables.ResultsA total of 410 participants completed the self-rated questionnaires. Mean age of study participants was 34.8 ±11.7 years with male preponderance. 88.5% of the respondents were not in distress (score less than 28) while, 11% had mild to moderate distress and 0.5% had severe distress. The prevalence of distress is higher among age group >45 years, female gender, and post-secondary education group. Health professional were more likely to get distressed. Respondents with post-secondary education had higher odds (OR= 3.32; p=0.020) of developing distress as compared to respondents with secondary education or lower.ConclusionThere is lower rate of psychological distress in city dwellers and people with low education. Adequate intervention and evaluation into mental health awareness, and psychosocial support focused primarily on health care workers, female and elderly individuals is necessary.


2021 ◽  
pp. 216769682110140
Author(s):  
Zachary R. Patterson ◽  
Robert L. Gabrys ◽  
Rebecca K. Prowse ◽  
Alfonso B. Abizaid ◽  
Kim G. C. Hellemans ◽  
...  

Emerging adults, including post-secondary education students, are disproportionately affected by the social and economic impacts of the COVID-19 pandemic. The speed with which society moved in attempt to minimize the spread of the virus left many students with uncertainty and concern about their health, mental health, and academic futures. Considering that post-secondary students are a population at risk, it is important to determine how students respond in the face of the pandemic, and what coping mechanisms or supports will result in improved mental health outcomes. This knowledge will be helpful for post-secondary institutions to understand how COVID-19 has influenced the health and well-being of their students, and may facilitate the implementation of strategies to support their students. This narrative review explores evidence on how COVID-19 has impacted students with the overall goal to provide a set of recommendations to post-secondary institutions to help meet the evolving needs of this population.


2021 ◽  
Author(s):  
Emily Britt

This is a qualitative narrative study of the impact that white time within post-secondary educational institutions has on the mental health of students. White time can be described as the concept of time that has been created to favour the experiences of the dominant white community. Using a narrative approach, the researcher interviewed several participants to understand how current and/or past post-secondary students understand time within these academic institutions. After interviewing two students, and analyzing the data, it was found that both students found the temporal constraints within post-secondary education to be overwhelming. Both participants described situations in which they have experienced white time within their academic careers. Additionally, both participants linked their experiences of white time and of temporal constraints to a negative impact on their mental health.


2013 ◽  
pp. 1209-1226 ◽  
Author(s):  
Jenny Martin ◽  
Elspeth McKay

The primary aim of this chapter is to explore the use of information and communications technology (ICT) in post-secondary education to provide opportunities for students with mental health difficulties to remain engaged in their studies during times of mental illness. Higher incompletion rates are particularly concerning amongst this group. The authors discuss how improved outcomes can be achieved through effective use of ICT. This is particularly important from a human rights perspective so that people diagnosed with mental illness are afforded the same opportunities as other members of the community. Strategies afforded by ICT tools that are essential for supporting students with mental illness to optimise their chances of success in their post-secondary education outcomes are outlined. The authors combine mental health and human-computer interaction (HCI) to argue for the need to design appropriate instructional ICT strategies to support students experiencing mental illness to remain engaged with their studies. ICT has evolved with powerful and unique features, offering special applications such as educational software, eCommerce, and healthcare. Yet, very little is being said about how to streamline these applications as effective HCI environments to enhance mental health and wellbeing. The chapter explores the positive and negative impact of ICT tools on teaching and learning. In considering mental health and post-secondary education, it focuses on human rights issues of access and equity, disclosure, and stigma. Authors suggest that ICT can enable students to remain engaged with their learning in general, while at the same time promote a deep sense of community.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Dhan Bahadur Shrestha ◽  
Bikash Bikram Thapa ◽  
Nagendra Katuwal ◽  
Bikal Shrestha ◽  
Chiranjibi Pant ◽  
...  

Abstract Background COVID-19 pandemic has created unprecedented health and economic impact. Psychological stress, anxiety and depression are affecting not only COVID-19 patients but also health professionals, and general population. Fear of contracting COVID-19, forced restrictive social measures, and economic hardship are causing mental trauma. Nepal is a developing country from South Asia where the COVID-19 pandemic is still evolving. This online survey has been carried out to understand impact of COVID- 19 on mental health of Nepalese community dwellers. Methods The COVID-19 Peritraumatic Distress Index (CPDI) questionnaire adapted from the Shanghai Mental Health Centre was used for online data collection from 11 April-17 May 2020. Collected data were extracted to Microsoft excel-13 and imported and analyzed using SPSS (Statistical Package for Social Sciences) version-22. An initial univariate analysis was conducted for all variables to assess the distribution. Logistic regression analyses were done to estimate the odds ratios of relevant predicting variables. Results A total of 410 participants completed the self-rated questionnaires. Mean age of study participants was 34.8 ± 11.7 years with male preponderance. 88.5% of the respondents were not in distress (score less than 28) while, 11% had mild to moderate distress and 0.5% had severe distress. The prevalence of distress is higher among age group > 45 years, female gender, and post-secondary education group. Health professional were more likely to get distressed. Respondents with post-secondary education had higher odds (OR = 3.32; p = 0.020) of developing distress as compared to respondents with secondary education or lower. Conclusion There is lower rate of psychological distress in city dwellers and people with low education. Adequate intervention and evaluation into mental health awareness, and psychosocial support focused primarily on health care workers, female and elderly individuals is necessary.


2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Line Tremblay ◽  
Michelle Brunette

Research suggests that mental health problems that were on the rise prior to the pandemic in the post-secondary education sector have worsened. The rise of mental health problems on university campuses poses significant challenges because of the links between mental health and academic success, perseverance, and obtaining a university degree. This article has two objectives. The first is to present an update on mental health on university campuses, including prevalence rates, risk factors and the impact on academic performance. The second objective is to present strategies to address the challenges posed by mental health through examples and programs. The conclusion underscores the importance of governments investing in programs and resources to address this issue.


Autism ◽  
2020 ◽  
Vol 24 (4) ◽  
pp. 954-967 ◽  
Author(s):  
Lauren P Lawson ◽  
Amanda L Richdale ◽  
Alexandra Haschek ◽  
Rebecca L Flower ◽  
Josh Vartuli ◽  
...  

Autistic adults experience a higher rate of physical and mental health conditions and lower rates of employment and post-secondary education participation than their non-autistic counterparts, which may affect negatively quality of life. Limited information exists on predictors of quality of life for autistic individuals, or how quality of life compares to non-autistic individuals. Our aims were to (a) examine and compare indicators of physical (e.g. sleep quality) and mental health (e.g. anxiety) on quality of life among a sample of 244 autistic and 165 non-autistic individuals aged 15–80 years and (b) examine factors contributing to quality of life 2 years later among the autistic sample ( n = 93). Participants were from two Australian longitudinal studies. The pattern of results for quality of life was similar across the autistic and non-autistic groups, with depression symptomatology, psychological well-being, sleep quality and autonomic symptoms all significantly predicting quality of life. In addition, among the autistic group, baseline quality of life had the greatest influence on quality of life 2 years later. These findings have implications for support services for autistic individuals, implying that in order to improve quality of life, mental health, particularly depression, needs addressing. Given known relationships between sleep and mental health, an intervention addressing these may have greatest clinical impact on quality of life among autistic individuals. Lay Abstract Research shows that autistic adults are at risk of a range of physical (e.g. sleep difficulties) and mental health (e.g. anxiety) conditions, as well as lower employment and post-secondary education participation; these all can affect one’s quality of life. However, we have little information about what affects quality of life for autistic individuals across the lifespan and whether this differs from non-autistic people. We determined what factors (e.g. mental or physical health challenges) affected quality of life in a large group of autistic individuals aged 15–80 years compared with similar age non-autistic individuals. We also examined what factors affected quality of life of the autistic group 2 years later. We found a similar pattern of results for the autistic and non-autistic groups; depression symptoms, psychological well-being, sleep quality and autonomic symptoms (e.g. sweating) were all significant predictors of quality of life. In addition, among the autistic group, baseline quality of life had the most influence on quality of life 2 years later. These results have implications for support services, as they highlight the relationship between mental health (especially depression) and quality of life. Given that sleep challenges (e.g. insomnia) are related to mental health, an intervention addressing both insomnia and mental health may be most useful in helping autistic individuals improve their quality of life.


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