scholarly journals The Characteristics of Canadian University Students’ Mental Health, Engagement in Activities and Use of Smartphones: A descriptive pilot study

2021 ◽  
Vol 8 (2) ◽  
pp. 205510292110620
Author(s):  
Behdin Nowrouzi-Kia ◽  
Jill Stier ◽  
Luma Ayyoub ◽  
Lauren Hutchinson ◽  
Jamie Laframboise ◽  
...  
Keyword(s):  
Mental Health ◽  
Pilot Study ◽  
University Students ◽  
Online Survey ◽  
Self Care ◽  
Smartphone Application ◽  
Health Issues ◽  
Community Members ◽  
Online Questionnaire ◽  
Smartphone Use

Background Mental health issues are on the rise which may impede university students’ abilities to perform daily functions and interact with other community members. The objectives of the current study are to explore (1) the characteristics of university students’ mental health and engagement in activities, (2) how students use their smartphones to support their mental health and engagement in activities, (3) student preferences for important features and functions of a smartphone application (app) that promote engagement in activities and (4) student perspectives about what data an app should collect as indicators of change in their mental health and engagement in activities. Methods We designed a pilot study and an online questionnaire with open and closed-ended questions to collect data exploring the association between student mental health and engagement in activities. The questionnaire included four sections: demographics, mental health and activity status and management, general smartphone use, and smartphone use to support mental health and engagement in activities. The data were analysed using descriptive statistics. Results A total of 56 participants were recruited to complete the online survey, with an average completion rate of 77% ( n = 43). The majority of participants were 24 years of age or older ( n = 34, 65.4%), and less than half were between the ages of 18 and 23 ( n = 18, 34.6%). The results of participants’ engagement in self-care, productivity and leisure/play activities are reported. As well, participants’ use of smartphones to support their mental health is described. Conclusions This study provides a greater understanding of what features and functions to include and what data to collect when developing a novel app to support students’ mental health and engagement in activities. Moreover, it clarifies the bidirectional relationship between mental health changes and self-care engagement, productivity/work and leisure/play domains.

scholarly journals The mental health of university students during the COVID-19 pandemic: An online survey in the UK

PLoS ONE ◽  
2022 ◽  
Vol 17 (1) ◽  
pp. e0262562
Author(s):  
Tianhua Chen ◽  
Mike Lucock
Keyword(s):  
Mental Health ◽  
Academic Success ◽  
University Students ◽  
Online Survey ◽  
Early Stage ◽  
Well Being ◽  
Health Issues ◽  
The North ◽  
Mental Health Support ◽  
The Uk

Higher education students’ mental health has been a growing concern in recent years even before the COVID-19 pandemic. The stresses and restrictions associated with the pandemic have put university students at greater risk of developing mental health issues, which may significantly impair their academic success, social interactions and their future career and personal opportunities. This paper aimed to understand the mental health status of University students at an early stage in the pandemic and to investigate factors associated with higher levels of distress. An online survey including demographics, lifestyle/living situations, brief mental well-being history, questions relating to COVID-19 and standardised measures of depression, anxiety, resilience and quality of life was completed by 1173 students at one University in the North of England. We found high levels of anxiety and depression, with more than 50% experiencing levels above the clinical cut offs, and females scoring significantly higher than males. The survey also suggested relatively low levels of resilience which we attribute to restrictions and isolation which reduced the opportunities to engage in helpful coping strategies and activities rather than enduring personality characteristics. Higher levels of distress were associated with lower levels of exercising, higher levels of tobacco use, and a number of life events associated with the pandemic and lockdown, such as cancelled events, worsening in personal relationships and financial concerns. We discuss the importance of longer-term monitoring and mental health support for university students.

Emotional support received moderates academic stress and mental well-being in a sample of Afghan university students amid COVID-19

2021 ◽  
pp. 002076402110577
Author(s):  
Zane Asher Green ◽  
Farkhonda Faizi ◽  
Rahmatullah Jalal ◽  
Zarifa Zadran
Keyword(s):  
Mental Health ◽  
University Students ◽  
Emotional Support ◽  
Online Survey ◽  
Well Being ◽  
Academic Stress ◽  
Health Issues ◽  
Stress Buffering ◽  
Mental Health Issues ◽  
Mental Well Being

Background: Academic stress experienced during the COVID-19 pandemic has triggered high levels of anxiety and depression and other severe mental health issues among university students around the globe. In Afghanistan, there is a paucity of research on the academic and mental health issues of Afghan university students and none pertaining to their academic stress and mental well-being amid the pandemic. Aim: This research examines the potential stress-buffering role of emotional support received between academic stress and mental well-being in a sample of Afghan university students during the COVID-19 outbreak. Method: The study sample comprised 508 Afghan university students. An online survey was developed for data collection. Model 1 of the PROCESS macro was used to conduct the moderation analysis. Results: These indicate that moderate and high levels of emotional support received may protect against the negative effects of higher levels of academic stress on mental well-being. Conclusion: This research makes an important contribution to the literature on social support. It may be inferred from the results that Afghan university students who experience academic stress, but have strong emotional support are able to attain greater mental well-being during the COVID-19 outbreak as compared to those with weak emotional support. Results may encourage mental health practitioners, university counselors, education administrators, and faculty to jointly formulate strategies for offering emotional support to Afghan university students.

scholarly journals Remote learning and students’ mental health during the Covid-19 pandemic: A mixed-method enquiry

Prospects ◽  
2021 ◽  
Author(s):  
Suzanne Lischer ◽  
Netkey Safi ◽  
Cheryl Dickson
Keyword(s):  
Mental Health ◽  
Health Status ◽  
University Students ◽  
Undergraduate Students ◽  
Mixed Method ◽  
Online Survey ◽  
Current Situation ◽  
Distance Teaching ◽  
Learning Conditions ◽  
Support Students

AbstractThe disruption caused by Covid-19 in the educational sector may last longer than originally predicted. To better understand the current situation, this article analyses the mental health status of university students during the pandemic and investigates the learning conditions needed to support students. The sample included 557 undergraduate students who took part in an online survey. Overall, the students reported coping well during lockdown but indicated that lecturers were challenged by distance teaching, which created some stress for the students.

scholarly journals Medical student perceptions of curricular influences on their wellbeing: a qualitative study

2020 ◽  
Author(s):  
Christine Byrnes ◽  
Anu Ganapathy ◽  
Melinda Lam ◽  
Lise Mogensen ◽  
Wendy CY Hu
Keyword(s):  
Mental Health ◽  
Medical Student ◽  
Student Perceptions ◽  
Peer Relationships ◽  
Large Scale ◽  
Self Care ◽  
Online Questionnaire ◽  
Prevalence Studies ◽  
Contact Hours ◽  
Long Course

Abstract Background Medical student mental health and wellbeing is highly topical worldwide. Research has tended to be either large-scale, quantitative, prevalence studies of wellbeing and associated factors such as burnout, or evaluations of single institution interventions. While theoretically informed definitions of wellbeing abound, how do medical students themselves understand and perceive wellbeing? What aspects of the curriculum do they regard as affecting their wellbeing and mental health? This study explored these questions, and aimed to identify factors associated with student acceptability of wellbeing programs and interventions. Methods All students at an Australian undergraduate medical school were invited to complete a qualitative online questionnaire between 2017 and 2018 following the introduction of several wellbeing initiatives, including “Wellbeing Days” (WBD). WBD allow students to take single absence days for self-care. Open-ended questions were asked about perceptions and experience of wellbeing and mental health, and views on interventions to improve wellbeing such as WBD. Thematic analysis was performed , initially by three authors who developed preliminary themes, then confirmed by all researchers . Thematic saturation was achieved within the 68 responses, which included participants from all cohorts. Results Participants described wellbeing as positively experienced work/life balance, impacted by four factors; contact hours, peer relationships, staff relationships, and trust in how wellbeing initiatives were used. Long course contact hours were deemed incompatible with self-care activities, maintaining employment, and seeking professional medical/psychological help. Peers could promote wellbeing by offering social and academic support, but also undermine wellbeing by being competitors. Degree of trust, engagement and communication with staff influenced acceptability of interventions. Participants viewed initiatives such as WBD favourably, but distrust of peers, and of staff, led to perceptions that WBD could be prone to misuse, or used for surveillance rather than support. Conclusion Our findings suggest that wellbeing days which allow self-care, reduction in contact hours, and peer support may promote student wellbeing, but the acceptability of any interventions is influenced by relationships between students and staff, and with peers. Further research is recommended to investigate the relationship between trust, perceptions of wellbeing in self and peers, and the effectiveness of wellbeing interventions.

scholarly journals A Pilot Study of a Screening Process for Evaluating the Physical, Mental and Cognitive Health of Senior Physicians

2021 ◽  
Vol 107 (2) ◽  
pp. 33-40
Author(s):  
David E. J. Bazzo ◽  
Patricia Smith ◽  
Elizabeth F. Wenghofer
Keyword(s):  
Mental Health ◽  
Pilot Study ◽  
Clinical Education ◽  
Cognitive Assessment ◽  
Health Screening ◽  
Health Issues ◽  
Structured Interviews ◽  
Screening Process ◽  
Cognitive Health ◽  
The University

ABSTRACT Physicians are not immune to changes that accompany aging, including decreases in physical and cognitive health and abilities. Many are calling for, or turning to, screening senior physicians for decrements in their ability to provide safe care. Our purpose was to determine the acceptability and feasibility of a pilot screening process, which evaluates the physical, mental and cognitive health of senior physicians. The screening process was developed by the University of California, San Diego, Physician Assessment and Clinical Education Program. The screen included: mental health screening (PHQ-9, GAD-7, and substance abuse screen), cognitive health screening (MicroCog™ and Montreal Cognitive Assessment [MoCA©]) and physical health screening (medical history review and physical examination). Qualitative semi-structured interviews were conducted post-screening. Thirty senior physicians participated in the pilot process, including post-screening interviews. Eight (27%) participants were judged to “require”/“may require” further evaluation after cognitive assessment. No physicians were found to have physical or mental health issues that would prevent them from practicing competently. Interviews revealed that participants felt the screening process was a positive experience that was effective, acceptable, efficient and relevant to their practice. The results of this pilot study indicate that screening physical, mental and cognitive health is considered both feasible and acceptable to senior physicians. This is important as screening the health and cognition of senior physicians is integral to the national discussion related to regulation and patient safety.

scholarly journals Attitudes surrounding the disclosure of mental illness

BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S288-S289
Author(s):  
Brishti Sengupta ◽  
Pritha Dasgupta
Keyword(s):  
Mental Health ◽  
Mental Illness ◽  
General Population ◽  
Online Survey ◽  
Mental Health Problems ◽  
Population Group ◽  
Medical Professionals ◽  
Health Issues ◽  
Mental Health Issues ◽  
Attitude Shift

AimsTo survey the effect of COVID-19 on mental health of both medical professionals and the general population, as well as attitudes surrounding the disclosure of mental illness.MethodAn online survey comprised of two questionnaires, one for medical professionals and one for the general population, were conducted via social media. Both questionnaires asked respondents of the effect of COVID-19 on their mental health, and the former asked respondents about the effect of COVID-19 on their patient group's mental health. The questionnaires went on to ask respondents about their attitudes to mental health disclosure in various scenarios, to varying groups of people. The general population group was also asked how they would react if someone else disclosed their mental illness to them.ResultThe questionnaire for the medical professionals gained 62 respondents and the one for the general population had 122 respondents, with responses from multiple nations. Overall, COVID-19 has affected everyone's mental health to a degree, and all groups had reservations about disclosing their mental health issues to others. The medical professionals were especially reluctant to disclose mental illness to their patients, but were more comfortable when it came to disclosing mental illness to colleagues. The general population, however, was much more reluctant to disclose mental health issues to their colleagues. The general population were, on the whole, willing to listen to and help anyone who came to them with mental health concerns. Both groups surveyed showed reluctance toward disclosure to the wider community.ConclusionCOVID-19 appears to significantly affect not only physical health, but mental health as well. There is at least some degree of stigma surrounding the disclosure of mental health issues. While most would be happy to help anyone who came to them with their mental health problems, there seems to be an attitude shift when people must contend with mental health issues of their own.

scholarly journals Lifestyle Changes among Polish University Students during the COVID-19 Pandemic

2021 ◽  
Vol 18 (18) ◽  
pp. 9571
Author(s):  
Karolina Fila-Witecka ◽  
Adrianna Senczyszyn ◽  
Agata Kołodziejczyk ◽  
Marta Ciułkowicz ◽  
Julian Maciaszek ◽  
...  
Keyword(s):  
Mental Health ◽  
Psychological Distress ◽  
University Students ◽  
Online Survey ◽  
Mental Health Problems ◽  
Psychiatric Treatment ◽  
Lifestyle Changes ◽  
Behavioral Changes ◽  
Daily Routine ◽  
Eating Pattern

Students worldwide have been impacted by nationwide safety closures due to the COVID-19 pandemic, creating an environment with loss of interaction with colleagues, social isolation, boredom, and economic uncertainty. Since university students were considered uniquely vulnerable to mental health problems even before the pandemic, this study aimed to investigate lifestyle and behavioral changes experienced by this population due to the epidemiological situation and their effect on their mental health. Data were collected via an online survey conducted among university students across Poland. The survey addressed recent lifestyle changes that were a result of the pandemic as well as psychological distress, symptoms of insomnia and symptoms of post-traumatic stress. The results indicate that protective factors include maintaining a daily routine, staying physically active, following a usual eating pattern and taking care of sleep hygiene. Changes in behavior contributing to poorer mental health included giving up a daily routine, neglecting meals, tidiness, hygiene as well as social relationships, changes in food intake, sleeping schedule, a decrease in physical activity and the onset of sexual dysfunctions. A history of psychiatric treatment and an increase in self-harm as well as an increase in alcohol and tobacco consumption were also found to be associated with psychological distress. Experienced lifestyle and behavioral changes and their impact on mental health were apparent throughout the obtained data, highlighting the need for psychological support in the studied population. Based on the results we were able to establish a list of protective and risk factors influencing the everyday life and psychological wellbeing of students amidst the COVID-19 pandemic, which could also be translated into life skills.

scholarly journals The Impacts of Propensity to Worry and Fear of COVID-19 on Mental Health of University Students

2021 ◽  
Vol 8 (4) ◽  
pp. 57-66
Author(s):  
Hacer BELEN
Keyword(s):  
Mental Health ◽  
University Students ◽  
Emotional Stability ◽  
Anxiety Symptoms ◽  
Health Issues ◽  
Penn State Worry Questionnaire ◽  
Penn State ◽  
State Worry ◽  
The Impact ◽  
The Relationship

Epidemics and pandemics are difficult periods for the affected community, specifically in the proliferation of mental health issues. In such adverse times, factors of psychological vulnerability such as propensity to worry and low emotional stability might have a detrimental effect on the mental health of the individuals. To investigate the impact of such factors on mental health, this study examined the impacts of propensity to worry and fear of COVID-19 on anxiety depending on the individuals’ levels of emotional stability. As a means of such investigation, this study was conducted based on quantitative data, and the research sample was selected using a convenient sampling method. Participants included 304 university students (71.6% were women and 28.4% were men; MAge = 22.37 ± 3.04) and responded to the Penn State Worry Questionnaire, Fear of COVID-19 Scale, Symptom Checklist-90 Revised, and 10-Item Personality Inventory. The moderated mediation analysis using PROCESS macro (Model 14) was performed to examine the study hypotheses. Results revealed that propensity to worry was associated with anxiety symptoms. Fear of COVID-19 mediated this link and emotional stability moderated the relationship between propensity to worry and anxiety. The findings showed that trait worry, trait emotional stability, and fear of COVID-19 are determinants of anxiety symptoms, suggesting that such factors are important in understanding these issues.

scholarly journals Forecasting the Suitability of Online Mental Health Information for Effective Self-Care Developing Machine Learning Classifiers Using Natural Language Features

2021 ◽  
Vol 18 (19) ◽  
pp. 10048
Author(s):  
Meng Ji ◽  
Wenxiu Xie ◽  
Riliu Huang ◽  
Xiaobo Qian
Keyword(s):  
Mental Health ◽  
Machine Learning ◽  
Health Information ◽  
Self Care ◽  
Health Resources ◽  
Health Issues ◽  
Mental Health Information ◽  
Learning Classifier ◽  
Mental Health Issues ◽  
Bayesian Machine Learning

Background: Online mental health information represents important resources for people living with mental health issues. Suitability of mental health information for effective self-care remains understudied, despite the increasing needs for more actionable mental health resources, especially among young people. Objective: We aimed to develop Bayesian machine learning classifiers as data-based decision aids for the assessment of the actionability of credible mental health information for people with mental health issues and diseases. Methods: We collected and classified creditable online health information on mental health issues into generic mental health (GEN) information and patient-specific (PAS) mental health information. GEN and PAS were both patient-oriented health resources developed by health authorities of mental health and public health promotion. GENs were non-classified online health information without indication of targeted readerships; PASs were developed purposefully for specific populations (young, elderly people, pregnant women, and men) as indicated by their website labels. To ensure the generalisability of our model, we chose to develop a sparse Bayesian machine learning classifier using Relevance Vector Machine (RVM). Results: Using optimisation and normalisation techniques, we developed a best-performing classifier through joint optimisation of natural language features and min-max normalisation of feature frequencies. The AUC (0.957), sensitivity (0.900), and specificity (0.953) of the best model were statistically higher (p < 0.05) than other models using parallel optimisation of structural and semantic features with or without feature normalisation. We subsequently evaluated the diagnostic utility of our model in the clinic by comparing its positive (LR+) and negative likelihood ratios (LR−) and 95% confidence intervals (95% C.I.) as we adjusted the probability thresholds with the range of 0.1 and 0.9. We found that the best pair of LR+ (18.031, 95% C.I.: 10.992, 29.577) and LR− (0.100, 95% C.I.: 0.068, 0.148) was found when the probability threshold was set to 0.45 associated with a sensitivity of 0.905 (95%: 0.867, 0.942) and specificity of 0.950 (95% C.I.: 0.925, 0.975). These statistical properties of our model suggested its applicability in the clinic. Conclusion: Our study found that PAS had significant advantage over GEN mental health information regarding information actionability, engagement, and suitability for specific populations with distinct mental health issues. GEN is more suitable for general mental health information acquisition, whereas PAS can effectively engage patients and provide more effective and needed self-care support. The Bayesian machine learning classifier developed provided automatic tools to support decision making in the clinic to identify more actionable resources, effective to support self-care among different populations.

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