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Record W2754651039 · doi:10.7326/m17-2181

Tracking Our Physical Inactivity and Progression to Death: Is This Evolutionary Stagnation?

2017· letter· en· W2754651039 on OpenAlexaffabout
David A. Alter

Bibliographic record

VenueAnnals of Internal Medicine · 2017
Typeletter
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineDemographyPopulationConfoundingGerontologyPsychological interventionCohortSedentary lifestylePhysical activityInternal medicinePsychiatryPhysical therapyEnvironmental health

Abstract

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Editorials3 October 2017Tracking Our Physical Inactivity and Progression to Death: Is This Evolutionary Stagnation?David A. Alter, MD, PhDDavid A. Alter, MD, PhDFrom University of Toronto, Toronto, Ontario, Canada.Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/M17-2181 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail Progression is rarely linear. Once highly mobile hunters and gatherers, we have evolved into a technologically advanced but kinetically stagnant species. Sedentary societies define today's cultural norms (1). The adverse health outcomes associated with sedentary behavior have led many to conclude that sedentary behavior is a novel risk factor whose population-attributable risk may even surpass that of smoking (2). Others have interpreted such associations more cautiously, given inconsistencies in evidence across studies, measurement biases, residual confounding, ambiguity in explanatory intercausal pathway mechanisms, and the absence of clinical trials that are adequately powered to detect differences in mortality from sedentary interventions ...References1. Dumith SC, Hallal PC, Reis RS, Kohl HW. Worldwide prevalence of physical inactivity and its association with human development index in 76 countries. Prev Med. 2011;53:24-8. [PMID: 21371494] doi:10.1016/j.ypmed.2011.02.017 CrossrefMedlineGoogle Scholar2. Ding D, Rogers K, van der Ploeg H, Stamatakis E, Bauman AE. Traditional and emerging lifestyle risk behaviors and all-cause mortality in middle-aged and older adults: evidence from a large population-based Australian cohort. PLoS Med. 2015;12:e1001917. [PMID: 26645683] doi:10.1371/journal.pmed.1001917 CrossrefMedlineGoogle Scholar3. Young DR, Hivert MF, Alhassan S, Camhi SM, Ferguson JF, Katzmarzyk PT, et al; Endorsed by The Obesity Society. Sedentary behavior and cardiovascular morbidity and mortality: a science advisory from the American Heart Association. Circulation. 2016;134:e262-79. [PMID: 27528691] doi:10.1161/CIR.0000000000000440 CrossrefMedlineGoogle Scholar4. Diaz KM, Howard VJ, Hutto B, Colabianchi N, Vena JE, Safford MM, et al. Patterns of sedentary behavior and mortality in U.S. middle-aged and older adults. A national cohort study. Ann Intern Med. 2017;167:465-75. doi:10.7326/M17-0212 LinkGoogle Scholar5. Booth FW, Laye MJ, Lees SJ, Rector RS, Thyfault JP. Reduced physical activity and risk of chronic disease: the biology behind the consequences. Eur J Appl Physiol. 2008;102:381-90. [PMID: 17987311] CrossrefMedlineGoogle Scholar6. Hamilton MT, Etienne J, McClure WC, Pavey BS, Holloway AK. Role of local contractile activity and muscle fiber type on LPL regulation during exercise. Am J Physiol. 1998;275:E1016-22. [PMID: 9843744] MedlineGoogle Scholar7. Barnett DW, Barnett A, Nathan A, Van Cauwenberg J, Cerin E; Council on Environment and Physical Activity (CEPA)—Older Adults working group. Built environmental correlates of older adults' total physical activity and walking: a systematic review and meta-analysis. Int J Behav Nutr Phys Act. 2017;14:103. [PMID: 28784183] doi:10.1186/s12966-017-0558-z CrossrefMedlineGoogle Scholar8. Prince SA, Saunders TJ, Gresty K, Reid RD. A comparison of the effectiveness of physical activity and sedentary behaviour interventions in reducing sedentary time in adults: a systematic review and meta-analysis of controlled trials. Obes Rev. 2014;15:905-19. [PMID: 25112481] doi:10.1111/obr.12215 CrossrefMedlineGoogle Scholar9. Harber MP, Kaminsky LA, Arena R, Blair SN, Franklin BA, Myers J, et al. Impact of cardiorespiratory fitness on all-cause and disease-specific mortality: advances since 2009. Prog Cardiovasc Dis. 2017;60:11-20. [PMID: 28286137] doi:10.1016/j.pcad.2017.03.001 CrossrefMedlineGoogle Scholar10. Gardner B, Smith L, Lorencatto F, Hamer M, Biddle SJ. How to reduce sitting time? A review of behaviour change strategies used in sedentary behaviour reduction interventions among adults. Health Psychol Rev. 2016;10:89-112. [PMID: 26315814] doi:10.1080/17437199.2015.1082146 CrossrefMedlineGoogle Scholar Author, Article, and Disclosure InformationAffiliations: From University of Toronto, Toronto, Ontario, Canada.Disclaimer: The opinions reported in this article are those of the author and are independent from the Institute for Clinical Evaluative Sciences and the University Health Network–Toronto Rehabilitation Institute. No endorsement by Institute for Clinical Evaluative Sciences, Ontario Ministry of Health and Long-Term Care, or University Health Network–Toronto Rehabilitation Institute is intended or should be inferred.Financial Support: Dr. Alter is funded by a Chair in Cardiovascular and Metabolic Rehabilitation, University Health Network–Toronto Rehabilitation Institute, University of Toronto. The Institute for Clinical Evaluative Sciences is supported by a grant from the Ontario Ministry of Health and Long-Term Care.Disclosures: Disclosures can be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=M17-2181.Corresponding Author: David Alter, MD, PhD, University Health Network—Toronto Rehabilitation Institute, 347 Rumsey Road, Toronto, Ontario M4G 1R7, Canada; e-mail, [email protected]on.ca.This article was published at Annals.org on 12 September 2017. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetailsSee AlsoPatterns of Sedentary Behavior and Mortality in U.S. Middle-Aged and Older Adults Keith M. Diaz , Virginia J. Howard , Brent Hutto , Natalie Colabianchi , John E. Vena , Monika M. Safford , Steven N. Blair , and Steven P. Hooker Metrics Cited bySedentary behaviour at work—an underappreciated occupational hazard? 3 October 2017Volume 167, Issue 7Page: 513-514KeywordsCohort studiesDisclosureExerciseHealth careLong-term careMedical risk factorsMortalitySedentary behaviorSkeletal musclesStroke ePublished: 12 September 2017 Issue Published: 3 October 2017 Copyright & PermissionsCopyright © 2017 by American College of Physicians. All Rights Reserved.PDF downloadLoading ...

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)0.008
metaresearch head score (Gemma)0.047
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.047
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.002
Science and technology studies0.0020.002
Scholarly communication0.0060.004
Open science0.0030.001
Research integrity0.0070.010
Insufficient payload (model declined to judge)0.0210.009

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 head0.151
GPT teacher head0.463
Teacher spread0.312 · 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 designNot applicable
Domainnot available
GenreCommentary

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".

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Citations2
Published2017
Admission routes2
Has abstractyes

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