Objectively Monitored Physical Activity and Sitting Time in Bariatric Patients Pre- and Post-Surgery
Bibliographic record
Abstract
Purpose: Sedentary time, or prolonged sitting/lying time, is an emerging risk factor for severe obesity, independent of physical activity (PA).The purpose of this study was to characterize ambulatory PA as well as sitting/lying time using accelerometry before and after bariatric surgery.Material and methods: Seventeen participants (58.5% female) with a mean age of 46.5 ± 10.1 years, and a Body Mass Index (BMI) of 48.8 ± 6.2 kg/m 2 scheduled for bariatric surgery were included in the analysis.ActivPAL ™ tri-axial accelerometers were attached to the participants' mid-thigh and worn for 24 hours a day for up to seven consecutive days before surgery, and at three, and six months following bariatric surgery.Mean steps, transitions from sitting-to-standing, as well as standing, walking and sitting/lying time per 24 hours were measured.Results: Prior to bariatric surgery, participants spent 18.6 ± 1.5 hours per 24 hours sitting/lying, representing over 75% of their day.Total sitting/lying time per 24 hours did not change at three or six months after surgery.Baseline accumulated steps per day averaged 6139 ± 2720 and did not change over time.Conclusions: Given that PA and sitting/lying time per 24 hours are believed to independently contribute to energy balance and health outcomes, clinicians and health professionals should intervene more rigorously to simultaneously reduce daily sitting time and increase levels of PA to help bariatric patients successfully manage their weight over the long-term post-surgery.
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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 | 0.000 | 0.001 |
| 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".