Linked Lives: Exploring Gender and Sedentary Behaviors in Older Adult Couples
Bibliographic record
Abstract
Objectives: We explored associations between co-habiting partners for sedentary behavior (type and time, via accelerometry and self-report), gender, and a surrogate health measure (inflammatory biomarker: C-reactive protein, CRP). Methods: Participants completed activity questionnaires and the Timed Up and Go (mobility), wore an accelerometer for 7 days, and provided samples for high-sensitivity (hs) CRP. We used multilevel modeling (partners within couples) to investigate associations between independent variables and (a) sedentary behavior and (b) hsCRP. Results: 112 couples (50% women) provided sedentary data and hsCRP. Sedentary behavior was significantly correlated ( r = .440, p < .001) between women and men, but there were significant differences in sedentary time (women < men) and light activity (women > men). Gender, moderate to vigorous physical activity (MVPA), and mobility estimated 37% of the modeled variance in sedentary time, while body mass index (BMI) and MVPA estimated 10% of the modeled variance in hsCRP. Discussion: Despite differences in how activity was accumulated, there were no significant differences between women’s and men’s health biomarker.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".