Sedentary Behaviour in People with Total Knee Arthroplasty and Those Awaiting Surgery
Bibliographic record
Abstract
High levels of sedentary behaviour are associated with functional decline, elevated blood pressure, weight gain, and increased risk for metabolic conditions in people with osteoarthritis independent of time spent in moderate-to-vigorous physical activity. While physical activity levels do not change substantially after total knee arthroplasty (TKA), the effects on sedentary behaviour have not been investigated. PURPOSE: To compare sedentary behaviour patterns in people with osteoarthritis awaiting TKA and individuals recovered from TKA. METHODS: Sedentary behaviour was measured with the 7-day Sedentary and Light Intensity Physical Activity Log (SLIPA), the Longitudinal Aging Study Amsterdam Sedentary Behavior Questionnaire (LASA - SB), and 7 day accelerometry (ActiGraph GT3X+, < 100 activity counts/min) in 32 participants awaiting TKA and in 38 individuals one year after TKA (69.9 ± 5.3 SD and 67.9 ± 7.3 yrs of age respectively). T-tests and Mann-Whitney Rank Sum tests were used to detect differences between groups. A one-way RM ANOVA was used to detect differences between measures of sedentary time. RESULTS: There were no differences between pre- and post-operative groups for GT3X+ wear time (13.9 ± 1.1 hours/day vs. 14.4 ± 1.1 respectively, p=0.09), total sedentary time (9.3 ± 1.4 hours/day vs. 9.2 ± 1.4, p=0.62), and number of sedentary bouts/day ≥ 30 min in duration (median 3.4 [1.9 IQR] vs. 3.1 [2.0], p=0.37). In addition, SLIPA and LASA-SB scores did not differ between groups (p=0.17 and p=0.14 respectively). Measures of sedentary time (combined groups) were all statistically different from one another: GT3X+ 9.2 ± 1.4 hours/day, SLIPA 6.7 ± 2.5 hours/day, LASA-SB 10.3 ± 3.7 hours/day (all comparisons p<0.05). CONCLUSIONS: Self-reported and objective measures of sedentary behaviour do not differ between people on the wait-list for TKA and one-year recovered from TKA. This suggests that after TKA there is still an increased risk for physical disability and cardiovascular health conditions related to high levels of sedentary behaviour. In addition to promoting increased physical activity after TKA, individuals would benefit from education regarding strategies to reduce sedentary behaviour.
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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 | 0.000 | 0.001 |
| 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 | 0.001 | 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".