A Comparison of Associations Between Self-Reported and Device-Based Sedentary Behavior and Obesity Markers in Adults: A Multi-National Cross-Sectional Study
Bibliographic record
Abstract
The purpose of this study was to examine the associations between self-reported and device-based measures of sedentary behavior (SB) with obesity markers in adults from Latin American countries. Sitting time and total time spent in different SBs were self-reported using two different questionnaires. Accelerometers were used to assess total sedentary time. Body mass index, waist, and neck circumferences were assessed. The highest self-reported sitting time was in Argentina, the highest total time spent in different SBs was in Brazil and Costa Rica, and the highest device-based sedentary time was observed in Peru. Neither self-reported sitting time, total time spent in different SBs or device-based sedentary time were associated with body mass index. Device-based sedentary time was positively associated with waist circumference and self-reported sitting time was positively associated with neck circumference. Caution is warranted when comparing the associations of self-reported and device-based assessments of SB with anthropometric variables.
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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 | 0.001 | 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".