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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 OpenAlex
Loes Oostrik

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

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.

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 score0.268
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
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 head0.014
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