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Record W4312140452 · doi:10.1016/j.pcad.2022.12.005

Leisure-time physical activity is more strongly associated with cardiometabolic risk than occupational physical activity: Results from a workplace lifestyle modification program

2022· article· en· W4312140452 on OpenAlexaff
Sandrine J. Edimo Dikobo, Isabelle Lemieux, Paul Poirier, Jean‐Pierre Després, Natalie Alméras

Bibliographic record

VenueProgress in Cardiovascular Diseases · 2022
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsCentre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-JeanCentre intégré universitaire de santé et de services sociaux de la Capitale-NationaleCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalCentre de Santé et de Services Sociaux de la Vieille-CapitaleInstitut universitaire de cardiologie et de pneumologie de QuébecUniversité Laval
Fundersnot available
KeywordsCardiorespiratory fitnessMedicineWaistAnthropometryGerontologyPhysical fitnessBlood pressureSedentary lifestyleTreadmillPhysical activityPhysical therapyBody mass indexInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Regular physical activity (PA) plays a key role in the management and prevention of numerous chronic diseases. However, recent studies have suggested that occupational physical activity (OPA) may not always have health benefits. The aim of the present study was to examine the respective contributions of OPA vs. leisure-time physical activity (LTPA) to the variation in the cardiometabolic profile, including cardiorespiratory fitness (CRF), of employees involved in a workplace lifestyle modification program. Our study hypothesis was that LTPA would show a stronger association with indices of cardiometabolic health than OPA. METHODS: A mobile health assessment unit was used to assess 5145 workers (3397 men and 1748 women) on site at their workplace. Assessments included lifestyle questionnaires (overall diet quality, type of OPA and level of LTPA), blood pressure measurements, blood tests, anthropometric measurements, and a submaximal treadmill exercise test to assess CRF. Results were adjusted for education, household income and age. RESULTS: When workers were classified on the basis of their OPA (sedentary work, standing work, physical work, and heavy manual work), only a few significant differences in the cardiometabolic profile were observed in men, with those in the physical work category having more favorable values than sedentary workers. However, substantial and significant differences were observed among employees classified on the basis of their LTPA, these differences being observed in both men and women. For instance, waist circumference, the cholesterol/HDL cholesterol ratio, triglyceride concentrations and resting heart rate were lower in active individuals compared to inactive and moderately inactive individuals (p < 0.01). Furthermore, irrespective of whether or not employees were sedentary at work, a high level of LTPA was associated with a greater CRF (p < 0.001). Finally, we found that the lowest prevalence of hypertriglyceridemic waist (p < 0.01) and the highest score of overall diet quality (p < 0.001) were observed in active individuals, irrespective of their OPA category. CONCLUSION: Levels of LTPA were more strongly associated with cardiometabolic health than OPA in a cohort of blue- and white-collar employees. Furthermore, high levels of LTPA were found to counteract the potentially deleterious effects of a sedentary work on cardiometabolic health.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.463
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.029
GPT teacher head0.326
Teacher spread0.297 · 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.

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

Citations17
Published2022
Admission routes1
Has abstractyes

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