Participation in moderate-to-vigorous leisure time physical activity is related to decreased visceral adipose tissue in adults with spinal cord injury
Bibliographic record
Abstract
Increased visceral adiposity places individuals with chronic spinal cord injury (SCI) at increased risk of cardiometabolic disease. The purpose of this study was to identify if people with chronic SCI who participate in any moderate- to vigorous-intensity leisure time physical activity (LTPA) have lower visceral adipose tissue (VAT) area compared with those who report none. Participants included 136 adult men (n = 100) and women (n = 36) with chronic (mean (±SD) 15.6 ± 11.3 years post-injury) tetraplegia (n = 66) or paraplegia (n = 70) recruited from a tertiary rehabilitation hospital. VAT area was assessed via whole-body dual-energy X-ray absorptiometry using a Hologic densitometer and the manufacturer's body composition software. Moderate-to-vigorous LTPA was assessed using the Leisure Time Physical Activity Questionnaire for People with SCI (LTPAQ-SCI) or the Physical Activity Recall Assessment for People with SCI (PARA-SCI). Summary scores were dichotomized into any or no participation in moderate-to-vigorous LTPA to best represent the intensity described in current population-specific physical-activity guidelines. Data were analyzed using univariate and multiple regression analyses to identify the determinants of VAT. Overall, the model explained 67% of the variance in VAT area and included time post-injury, age-at-injury, android/gynoid ratio, waist circumference, and moderate-to-vigorous LTPA. Participation in any moderate-to-vigorous LTPA was significantly (95% confidence interval: -34.71 to -2.61, p = 0.02) associated with VAT after controlling for injury-related and body-composition correlates. Moderate-to-vigorous LTPA appears to be related to lower VAT area, suggesting potential for LTPA to reduce cardiometabolic disease risk among individuals with chronic SCI.
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 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 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".