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Record W3174285681 · doi:10.1177/15394492211023192

Out-of-Home Activities and Health in Older Adults: A Scoping Review

2021· review· en· W3174285681 on OpenAlexaff
Shlomit Rotenberg, Heather Fritz, Tracy Chippendale, Catherine L. Lysack, Malcolm P. Cutchin

Bibliographic record

VenueOTJR Occupational Therapy Journal of Research · 2021
Typereview
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsUniversity of Toronto
FundersAmerican Occupational Therapy Foundation
KeywordsOperationalizationGerontologyHealth benefitsPsychologyActivities of daily livingMedicineTraditional medicinePsychiatry

Abstract

fetched live from OpenAlex

Participating in out-of-home (OOH) activities has been shown to benefit health in older adults. This scoping review aimed to describe the nature of the literature on OOH activities and health in community dwelling older adults, and the operationalization of OOH activity and health-related variables. We followed the Joanna Briggs Institute guidelines. Four databases were searched; studies were selected through title/abstract and full-text screening; and data on study characteristics, sample, and OOH activity and health-related variables were extracted, and summarized descriptively. Sixty articles were identified. There was a considerable focus on leisure and social activities (78% and 75%, respectively) but no predominant health-related outcome was identified. Few studies analyzed sex/gender and/or racial differences (25% and 2%, respectively). Future studies may include systematic reviews focused on health outcomes associated with social and leisure OOH activities; as well as gender-based and/or race-based differences in OOH and health relationships.

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)0.013
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.897
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
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 head0.435
GPT teacher head0.624
Teacher spread0.190 · 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 designOther design
Domainnot available
GenreReview

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

Citations8
Published2021
Admission routes1
Has abstractyes

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