Correlates of General and Domain-Specific Sitting Time among Older Adults
Bibliographic record
Abstract
OBJECTIVE: We examined the correlates of sitting time in a population-based sample of older adults. METHODS: Adults >55 years of age (N = 1296; N = 515 employed; N = 781 unemployed) self-reported measures of demographic and health-related variables, and a measure of sitting time (ie, SIT-Q). RESULTS: Employed total sitting time (min/day) was positively associated with home Internet access (B = 71.2, 95% CI, 8.9 to 133.4, p = .025), body mass index (BMI) (kg/m(2); B = 7.0, 95% CI, 2.1 - 11.9, p = .005), and negatively associated with physical health (B = -2.3; 95% CI, -4.9 to 0.3, p = .013). Unemployed total sitting time was negatively associated with age (B per year = -3.0, 95% CI, -4.9 to -1.1, p = .002), and being male (B = -54.0, 95% CI, -86 .7 to -21.3, p = .001). Unemployed total sitting time was positively associated with Internet access (B = 54.1, 95% CI, 17.7 to 90.4, p = .004) and BMI (B = 4.1, 95% CI, .94 to 7.3, p = .011). CONCLUSIONS: Older adults reported low levels of sitting time. Different correlates emerged for the employed and unemployed samples across sitting domains.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".