Association between daily level of objective physical activity and C-reactive protein in a representative national sample of adults with self-reported diagnosed arthritis or fibromyalgia
Bibliographic record
Abstract
Objective: Examine the transversal association between objectively measured physical activity (PA) and sedentary time (SED-time) with high sensitivity C-Reactive Protein (hsCRP) levels in adults with arthritis and fibromyalgia. We also investigated the dose of PA that was associated with lower clinical levels of hsCRP (< 3 mg/L).Design: Observational designSetting: Canadian Health Measures Survey (CHMS) cycle 1 to 3 (2007 – 2012)Participants: CHMS respondents with self-reported diagnosed arthritis or fibromyalgia from the CHMS cycle 1 to 3 (2007 – 2012)Main Outcome Measure: Generalized adjusted additive models were used to explore the shape of the association between hsCRP, daily PA, step count and SED-time. HsCRP was measured with blood samples. PA, number of steps and SED-time were objectively assessed using an Actical accelerometer. Results: Daily moderate to vigorous PA and step count were significantly associated with lower hsCRP levels, but daily LPA and SED-time were not associated with hsCRP levels, even after controlling for age, sex, daily smoking, body mass index (BMI), household income, level of education levels, marital status, work year and accelerometer wear time and season of accelerometer. Non-linear dose-response patterns were observed between daily moderate to vigorous PA as well as step count with hsCRP levels. Optimal and specific doses of daily minutes of moderate to vigorous PA and daily steps were independently related to lower hsCRP in adults with arthritis and fibromyalgia.Conclusions: Daily MVPA and step count were associated with hsCRP levels that were below the clinical threshold. Given the positive outcomes of PA on health, adults with arthritis and fibromyalgia may benefit from these specific recommendations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".