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Record W4200000322 · doi:10.1123/japa.2021-0098

Moving Through COVID-19: Perspectives of Older Adults in the Getting Older Adults Outdoors Study

2021· article· en· W4200000322 on OpenAlexafffund
Kristina M. Kokorelias, Jacquie Ripat, Chelsea Jones, Nancy E. Mayo, Nancy M. Salbach, Ruth Barclay

Bibliographic record

VenueJournal of Aging and Physical Activity · 2021
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsMcGill UniversityUniversity of AlbertaHealth Sciences CentreSunnybrook Health Science CentreToronto Rehabilitation InstituteUniversity Health NetworkUniversity of TorontoUniversity of Manitoba
FundersCanadian Institutes of Health Research
KeywordsPandemicGerontologyPhysical activityPedometerCoronavirus disease 2019 (COVID-19)Promotion (chess)Isolation (microbiology)DistancingHealth promotionMedicinePublic healthPsychologyDiseasePhysical therapyNursingInfectious disease (medical specialty)Political science

Abstract

fetched live from OpenAlex

Safety guidelines resulting from the coronavirus disease 2019 pandemic may reduce physical activity participation of older adults, particularly prefrail and frail individuals. The objective was to explore older adults' experiences with physical activity during the coronavirus disease 2019 pandemic. Using a qualitative descriptive approach, interviews were conducted with 16 older adults. Data were analyzed thematically. Two themes emerged: (a) coming to a standstill and (b) small steps. Participants described that imposed provincial and federal recommendations caused them to reduce their physical activity with negative consequences. As time progressed, participants used emerging public health knowledge about coronavirus disease 2019 to safely increase physical activity. Many participants developed strategies to remain active during the pandemic (e.g., wearing a pedometer, walking outdoors at particular times of day). Findings from this study can better inform the development of programs, clinical practice, and policy for physical activity promotion in older adults during periods of physical distancing and isolation.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.763
Threshold uncertainty score0.442

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.030
GPT teacher head0.360
Teacher spread0.330 · 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 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

Citations10
Published2021
Admission routes2
Has abstractyes

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