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Record W2947102776 · doi:10.1123/japa.2018-0361

Replacing Sedentary Time With Light or Moderate–Vigorous Physical Activity Across Levels of Frailty

2019· article· en· W2947102776 on OpenAlexaff
Judith Godin, Joanna M. Blodgett, Kenneth Rockwood, Olga Theou

Bibliographic record

VenueJournal of Aging and Physical Activity · 2019
Typearticle
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsNova Scotia Health Authority
Fundersnot available
KeywordsBody mass indexMedicineMarital statusPhysical activityGerontologySedentary behaviorSedentary lifestyleDemographyScreen timeNational Health and Nutrition Examination SurveyPhysical therapyEnvironmental healthPopulationInternal medicine

Abstract

fetched live from OpenAlex

We sought to examine how much sedentary times needs to be replaced by light or moderate-vigorous physical activity in order to reduce frailty and protect against mortality. We built isotemporal substitution models to assess the theoretical effect of replacing sedentary behavior with and equal amount of light or moderate-vigorous activity on frailty and mortality in community-based adults aged 50 years and older. Controlling for age, sex, body mass index, marital status, race, education, employment status, and National Health and Nutrition Examination Study cycle, replacing one hour of sedentary time with moderate-vigorous or light physical activity daily was associated with a lower Frailty Index. For mortality, results varied based on frailty level. Replacing sedentary behavior with moderate-vigorous exercise was associated with lower mortality risk in vulnerable individuals, however, replacing sedentary behavior with light activity was associated with lower mortality risk in frailer individuals.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.187
Threshold uncertainty score0.702

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.027
GPT teacher head0.318
Teacher spread0.291 · 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 designBench or experimental
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

Citations16
Published2019
Admission routes1
Has abstractyes

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