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Record W4200471955 · doi:10.1136/bjsports-2021-104827

Device-measured physical activity, adiposity and mortality: a harmonised meta-analysis of eight prospective cohort studies

2021· review· en· W4200471955 on OpenAlexaff
Jakob Tarp, Morten Wang Fagerland, Knut Eirik Dalene, Jostein Steene Johannessen, Bjørge Herman Hansen, Barbara J. Jefferis, Peter H. Whincup, Keith M. Diaz, Steven P. Hooker, Virginia J. Howard, Ariel Chernofsky, Martin G. Larson, Nicole L. Spartano, Ramachandran S. Vasan, Ing‐Mari Dohrn, María Hagströmer, Charlotte L. Edwardson, Thomas Yates, Eric J. Shiroma, Paddy C. Dempsey, Katrien Wijndaele, Sigmund A. Anderssen, I‐Min Lee, Ulf Ekelund

Bibliographic record

VenueBritish Journal of Sports Medicine · 2021
Typereview
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsPopulation Health Research Institute
FundersNational Heart, Lung, and Blood InstituteNational Institute on AgingNational Health and Medical Research CouncilEuropean CommissionStockholms Läns LandstingNational Institute for Health and Care ResearchBritish Heart FoundationNational Institutes of HealthCancer Research UKMedical Research CouncilAmerican Heart Association
KeywordsMedicineOverweightWaistBody mass indexProspective cohort studyObesityPopulationCohort studyCohortMetabolic equivalentInternal medicineDemographyPhysical activityPhysical therapyEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: The joint associations of total and intensity-specific physical activity with obesity in relation to all-cause mortality risk are unclear. METHODS: We included 34 492 adults (72% women, median age 62.1 years, 2034 deaths during follow-up) in a harmonised meta-analysis of eight population-based prospective cohort studies with mean follow-up ranging from 6.0 to 14.5 years. Standard body mass index categories were cross-classified with sample tertiles of device-measured total, light-to-vigorous and moderate-to-vigorous physical activity and sedentary time. In five cohorts with waist circumference available, high and low waist circumference was combined with tertiles of moderate-to-vigorous physical activity. RESULTS: There was an inverse dose-response relationship between higher levels of total and intensity-specific physical activity and mortality risk in those who were normal weight and overweight. In individuals with obesity, the inverse dose-response relationship was only observed for total physical activity. Similarly, lower levels of sedentary time were associated with lower mortality risk in normal weight and overweight individuals but there was no association between sedentary time and risk of mortality in those who were obese. Compared with the obese-low total physical activity reference, the HRs were 0.59 (95% CI 0.44 to 0.79) for normal weight-high total activity and 0.67 (95% CI 0.48 to 0.94) for obese-high total activity. In contrast, normal weight-low total physical activity was associated with a higher risk of mortality compared with the obese-low total physical activity reference (1.28; 95% CI 0.99 to 1.67). CONCLUSIONS: Higher levels of physical activity were associated with lower risk of mortality irrespective of weight status. Compared with obesity-low physical activity, there was no survival benefit of being normal weight if physical activity levels were low.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.026
metaresearch head score (Gemma)0.044
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.026
Threshold uncertainty score0.139

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.044
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0120.041
Bibliometrics0.0060.007
Science and technology studies0.0010.001
Scholarly communication0.0040.001
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.240
GPT teacher head0.442
Teacher spread0.201 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
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

Citations35
Published2021
Admission routes1
Has abstractyes

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