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Record W3112626027 · doi:10.21203/rs.3.rs-30858/v1

The prevalence rate and demographic correlates of perceived stress in Alberta during the COVID-19 pandemic: A one-week cross-sectional study

2020· preprint· en· W3112626027 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueResearch Square (Research Square) · 2020
Typepreprint
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsUniversity of CalgaryUniversity of AlbertaAlberta Health Services
FundersUniversity of AlbertaAlberta Children's Hospital FoundationEdmonton Community FoundationAlberta Health ServicesGovernment of AlbertaAlberta Cancer FoundationRoyal Alexandra Hospital FoundationChildren's Hospital Foundation
KeywordsCoronavirus disease 2019 (COVID-19)PandemicCross-sectional study2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)DemographyStress (linguistics)MedicineGeographyPsychologyVirologyOutbreakSociologyInternal medicineDisease

Abstract

fetched live from OpenAlex

Abstract Background Coronavirus Disease 2019 (COVID-19) continues to have an unprecedented global effect on health and daily life, with many countries struggling to adapt to the adverse pandemic impact. While strict public health measures are necessary to slow the virus’ spread, these measures may adversely affect individual mental health and wellbeing. Texting-based programs offer organizations a feasible and cost-effective option to deliver mental health supports and to collect population-level data. This study reports on the prevalence rate and demographic correlates of perceived stress on the one-week data obtained from Text4Hope enrollees during the COVID-19 pandemic. Methods This was a cross-sectional study that used the Perceived Stress Scale to determine the one-week prevalence for perceived stress in Alberta. Univariate and binomial logistic regression analysis were used to determine the demographic correlates (i.e., gender, age, ethnicity, educational attainment, employment status, relationship status, and housing status) of moderate/high perceived stress. Results One week after the program launch, 32,805 individuals were enrolled. 6,041 enrollees completed the baseline survey (18.4% response rate). 84.7% of respondents reported moderate/high stress. All demographic variables, except ethnicity, were significantly associated with moderate/high stress ( p < 0.001). Females were 1.5 times more likely to report moderate/high stress (95% CI = 1.2–1.9) than males. Compared to respondents in the 26–40 years, 41–60 years, and > 60 years of age categories, those ≤ 25 years of age were 1.9 (95% CI = 1.1–3.4), 3.4 (95% CI = 1.9–6.3), and 5.3 (95% CI = 2.8–10.0) times more likely to report moderate/high stress, respectively. Unemployed individuals were 2.5 times more likely to report moderate/high stress (95% CI = 1.8–3.6) than employed individuals. Retirees were 1.6 times less likely to report moderate/high stress (95% CI = 1.1–2.2) than employed respondents. Respondents renting a home were 1.7 times more likely to report moderate/high stress (95% CI = 1.3–2.1) than home owners. Conclusion Prevalence rate for perceived stress during the COVID-19 pandemic is very high in Alberta, signaling detrimental pandemic impacts on mental health. Our demographic correlates of perceived stress align with research results from other jurisdictions. Trail registration: The study was approved by the University of Alberta Human Research Ethics Board (Pro00086163).

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.

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)0.029
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMetaresearch, Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0290.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0030.004
Scholarly communication0.0010.000
Open science0.0030.005
Research integrity0.0010.010
Insufficient payload (model declined to judge)0.0010.000

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 head0.287
GPT teacher head0.529
Teacher spread0.242 · 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