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Record W3111385565

Physical activity and its associated factors in Canadian individuals with and without COPD: a sub-analysis from the CanCOLD study

2020· dissertation· en· W3111385565 on OpenAlexaboutno aff
Loes Oostrik

Bibliographic record

VenueUtrecht University Repository (Utrecht University) · 2020
Typedissertation
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsnot available
Fundersnot available
KeywordsCOPDPhysical activityGerontologyEnvironmental healthMedicinePsychologyPhysical therapyInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

ABSTRACT \n\nBackground\nChronic Obstructive Pulmonary Disease (COPD) has a prevalence of 500.000 in Canada and an estimated equal number of individuals undiagnosed. Dyspnea in COPD patients decreases physical activity (PA), which is related to high mortality. Studies on associated factors of PA in the COPD population give insight in who are more prone to worse outcomes. However, studies on related factors of PA in COPD lack in participants from general population samples. \nAim\nTo assess the relationship between symptom burden and diagnosis status with moderate PA levels in individuals with COPD, and explore possible predictive factors of PA in individuals with and without COPD.\nMethods\nFrom the CanCOLD cohort 1561 individuals from a general population were assessed in this sub-study. The study included participants with mild to severe COPD, healthy individuals and those who are at risk and included patients that were newly diagnosed at enrollment of study. Community Healthy Activities Model Program for Seniors (CHAMPS) questionnaire measured PA levels in all participants. Differences between COPD groups, categorized respectively in low-high symptom burden and diagnosed-undiagnosed, were tested. General Linear Modeling (GLM) was performed for associations of symptom burden and diagnosis status with PA in patients with COPD and for exploration of possible predictors in COPD and non-COPD participants. \nResults\nSignificant associations were found between high symptom burden and lower PA in the total COPD group and in moderate to severe COPD. Undiagnosed patients were significantly more active than diagnosed patients, for the total COPD group and for moderate to severe COPD. PA was lower in mild COPD with high symptom burden, however this result failed to be significant. Other factors, such as poor exercise habits showed significant associations with lower PA levels in both COPD and non-COPD participants. \nConclusion and key findings \nAs health symptom burden is associated with PA, this factor could help identify patients with mild to severe COPD and undiagnosed COPD that are less active. Follow-up of the study population is needed to investigate if health status and other predictors for low PA levels indeed show deterioration in PA levels and progression or onset of COPD.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.043
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.014
GPT teacher head0.242
Teacher spread0.228 · 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 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

Citations0
Published2020
Admission routes1
Has abstractyes

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