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Record W3147048220 · doi:10.1038/s41398-021-01316-8

Association between sedentary behaviour and risk of dementia: an evidence gap

2021· article· en· W3147048220 on OpenAlexaff
Kirsten Dillon, Paul A. Gardiner

Bibliographic record

VenueTranslational Psychiatry · 2021
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsWestern University
Fundersnot available
KeywordsDementiaAssociation (psychology)PsychologyPsychiatryMedicineSedentary behaviorClinical psychologyPhysical medicine and rehabilitationPhysical activityPsychotherapistInternal medicineDisease

Abstract

fetched live from OpenAlex

Given the lack of a cure, it is important to investigate risk factors for dementia to target prevention initiatives. A study recently published in Translational Psychiatry by Yan et al. 1 examines the association between sedentary behaviour [sic] and the risk of dementia. However, the authors have misused the term sedentary behaviour, which misrepresents their findings and leads to a false conclusion. Historically, sedentary behaviour was used to denote lack of physical activity. Now ‘sedentary behaviour’ is defined as “any waking behaviour characterized by energy expenditure ≤1.5 metabolic equivalents while in a sitting, reclining or lying posture” 2 . In contrast, the term ‘physical inactivity’ is defined as “an insufficient physical activity level to meet present physical activity recommendations” 2 . For example, the World Health Organization (WHO) states the global physical activity guidelines as 150 min of moderate-intensity, or 75 min of vigorous-intensity aerobic physical activity a week (WHO, 2020 3 ). As many people in today’s society are both physically inactive and sedentary 4 , it is imperative that we differentiate between these two terms.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.265

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.060
GPT teacher head0.354
Teacher spread0.294 · 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 routes1
Has abstractyes

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