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Record W2790858989 · doi:10.1177/0733464818755313

Access to Showers and Change Rooms at Work Associated With Active Commuting Among Older Workers: Findings From a National Population Survey

2018· article· en· W2790858989 on OpenAlexaffabout
Aviroop Biswas, Peter Smith, Monique A. M. Gignac

Bibliographic record

VenueJournal of Applied Gerontology · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsUniversity of TorontoInstitute for Work & Health
Fundersnot available
KeywordsDemographyConfidence intervalOdds ratioLogistic regressionGerontologyOddsCyclingMedicinePopulationOccupational safety and healthEnvironmental healthPsychologyGeography

Abstract

fetched live from OpenAlex

Access to workplace showers and change rooms (WS/CR) has been found to be associated with active commuting (AC). Yet it is unclear whether this extends to older workers. We examined the association between WS/CR and AC (walking, cycling) comparing older and younger workers. Data came from 53,294 respondents to the 2007-2008 Canadian Community Health Survey. Associations between WS/CR and walking and cycling were analyzed for main effects and by age and sex using logistic regression. Compared with younger ages, workers 50 to 75 years old were more likely to cycle to work if WS/CR were available (odds ratio [OR] = 1.71, 95% confidence interval [CI] = [1.13, 2.58]), though the overall and sex-related associations between WS/CR and AC were nonsignificant. WS/CR may be a promising strategy to promote AC particularly among older workers. With large numbers of middle- and older-aged adults working longer, the implications of AC for sustaining good health may be considerable.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.252
Threshold uncertainty score0.976

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.089
GPT teacher head0.346
Teacher spread0.257 · 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

Citations2
Published2018
Admission routes2
Has abstractyes

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