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Record W4407835643 · doi:10.1016/j.mhpa.2025.100675

Effects of a 6-week at-home exercise intervention on psychological and physical indicators of well-being during the COVID-19 pandemic: Secondary analysis of a pragmatic randomized trial

2025· article· en· W4407835643 on OpenAlexafffundabout
Benjamin A. Hives, Brook L. Haight, Mark R. Beauchamp, Yan Liu, Judith Webster, Boaz Injege, Michael S. Koehle, Eli Puterman

Bibliographic record

VenueMental health and physical activity · 2025
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Wellbeing Research
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health ResearchCanada Excellence Research Chairs, Government of CanadaCanada Research Chairs
KeywordsPandemicRandomized controlled trialCoronavirus disease 2019 (COVID-19)Intervention (counseling)PsychologyPhysical activityMedicinePhysical therapyClinical psychologyPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

To examine whether a 6-week at-home exercise intervention, delivered via mobile applications (apps), improves psychological and physical well-being and alleviates ill-being symptoms in adults during the early months of the COVID-19 pandemic. Low active Canadian adults (n = 334) were recruited and randomized to one of three app conditions [Yoga, n = 86; high-intensity interval training (HIIT), n = 82, HIIT + Yoga, n = 83] or a waitlist control condition (n = 83). Those in the exercise conditions (HIIT, Yoga, HIIT + Yoga) were asked to use their respective modules in the apps to complete four 20-min sessions per week for six weeks. Indicators of well-being (flourishing, general mental health, life satisfaction, positive affect, resilience, and perceived physical health) and ill-being (burden of psychosocial problems, negative affect, psychological distress, psychological stress, and physical symptoms) were measured every week over the intervention. After six weeks, compared to the waitlist control condition, those in the HIIT + Yoga condition improved in all well-being outcomes, those in the Yoga condition showed improvements in flourishing, positive affect, and perceived physical health, and those in the HIIT condition showed no improvements in well-being indicators. None of the three exercise conditions demonstrated any improvement in ill-being indicators compared to the waitlist control condition. Engagement with at-home exercise apps over 6 weeks can improve multiple facets of well-being (e.g., flourishing, positive affect), especially when a variety of modalities of exercise are presented. • App-based exercise interventions represent a low-cost, low-barrier pathway to physical activity. • In this trial, app-based at-home exercise did not significantly improve ill-being factors (e.g., distress, negative affect). • However, the apps did improve participants' well-being (e.g., flourishing, resilience). • These effects were most prominent when participants had access to both yoga and high-intensity interval training applications.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.179
Threshold uncertainty score0.476

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.028
GPT teacher head0.454
Teacher spread0.427 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
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

Citations0
Published2025
Admission routes3
Has abstractyes

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