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Record W3000498317 · doi:10.1093/ecco-jcc/jjz203.483

P354 Objectively measured time spent sitting, standing upright, and stepping is associated with disease severity and faecal calprotectin in patients with ulcerative colitis

2020· article· en· W3000498317 on OpenAlexaffabout
Maitreyi Raman, Jeff K. Vallance, Kate Lyden, S Alana, Christina Ohland, Kathy D. McCoy, Sandeep Kaur, Remo Panaccione, Raylene A. Reimer, Lorian Taylor

Bibliographic record

VenueJournal of Crohn s and Colitis · 2020
Typearticle
Languageen
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsAthabasca UniversityUniversity of Calgary
Fundersnot available
KeywordsMedicineSittingInternal medicineBody mass indexUlcerative colitisGastroenterologyCalprotectinFaecal calprotectinInflammatory bowel diseaseBiomarkerUnivariate analysisDiseaseMultivariate analysisPathology

Abstract

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Abstract Background Sitting, lying down, standing upright, and stepping is predominant behaviours occurring throughout the 24-day, yet have not been explored in ulcerative colitis (UC). The purpose of this study was to explore whether objectively measured time spent sitting, lying down, standing upright, and stepping was associated with endoscopic and biomarker-based disease severity in UC patients. Methods Patients were recruited from the Foothills Medical Center in Calgary, Alberta. Each patient wore an activPAL™ inclinometer (PAL Technologies Limited, Glasgow, UK) for 7 days (minimum 4 days, and on at least one weekend day). Disease severity was measured using Mayo endoscopic subscore and classified as either normal/mild or moderate/severe. Stool samples were collected and faecal calprotectin (FCP), a measure of gut inflammation, was measured. Serum C-reactive protein (CRP)], a marker of systemic inflammation, was collected. Univariate analysis of covariance (ANCOVA) was used to examine associations between activPALTM behavioural variables, Mayo endoscopic subscore, FCP (< or >250 mg/g) and CRP (< or >5 mg/l). All models were controlled for age, gender, body mass index, and antibiotic use. Results 21 patients (9 female, 12 male) consented to participate. Patients on average were 36 years of age (SD=8.9) and had a body mass index of 25.7 (2.4). For Mayo endoscopic subscore, 10 patients were normal/mild while 11 patients were moderate/severe. Mean FCP was 2288.6 (5453.9) and mean CRP was 4.9 (10.5). Per day, patients averaged 8443 (2731) steps, 497.6 (149.9) min sitting, 233.4 (72.9) min standing upright, and 536.3 (110.9) min lying down. Mayo endoscopic subscore was negatively associated with total number of steps (D=−3,331 steps, 95% CI: 5,450 to −1,212, p < .01), trended toward decreased upright standing time (D = −108 min/day, 95% CI: −208.2 to −7.7, p = 0.09), and positively with total sitting time (D = 121.2 min/day, 95% CI: −23.5 to 266, p = 0.09). FCP was negatively associated with standing time (D = −102.4 min/day, 95% CI: −206.3 to 1.6, p = .05), trended toward decreased total number of steps (D=−1,956 steps, 95% CI: −4,482 to 569, p = .12), and was not associated with total sitting time (D = 63.8 min/day, 95% CI: −87.8 to 215.4, p = .38). CRP was not associated with any of the activPALTM variables. Time spent lying down was not associated with any UC outcomes. Conclusion There was an association between objective measures of daily activity behaviours including total steps, standing time, sitting time and UC biomarkers of disease activity. Future studies should continue to examine daily activity behaviours and UC health outcomes in larger sample sizes.

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)0.000
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 score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.027
GPT teacher head0.320
Teacher spread0.293 · 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".

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Citations1
Published2020
Admission routes2
Has abstractyes

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