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Record W4311064658 · doi:10.32920/ihtp.v2i3.1662

Examining the mental health impacts of the COVID-19 pandemic on international postsecondary students in Canada: A cross sectional analysis

2022· article· en· W4311064658 on OpenAlexaffvenueabout
Shirui Tan, Fatih Şekercioğlu

Bibliographic record

VenueInternational Health Trends and Perspectives · 2022
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsMental healthAnxietyPandemicCross-sectional studyCoping (psychology)PsychologyCoronavirus disease 2019 (COVID-19)Public healthDepression (economics)Clinical psychologyMedicinePsychiatryNursingDiseaseInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Globally, the mental health challenges of university and college students are a considerable public health challenge that has been further exacerbated by the COVID-19 pandemic. Across Canada, international postsecondary students have reported experiencing increase financial stress, lack of social support, racist aggression, and travel restrictions. This cross-sectional study aimed to assess the mental health impacts of COVID-19 on international postsecondary students in Canada. Data from 177 international students attending universities and colleges in Canada was collected over a 2-month period. Results suggest 36.2% of all students reported a high level of perceived stress, with moderate to severe anxiety and depression symptoms reported by 64.4% of the sample. Stress (p = 0.015) along with anxiety and depression (p = 0.019) were significantly higher in female study participants. Coping strategies related to engaging in activities of daily living were identified. Strategies to support international students' mental health and well-being during the pandemic and beyond have been put forward.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.103
GPT teacher head0.476
Teacher spread0.374 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2022
Admission routes3
Has abstractyes

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