Objective Longitudinal Measures of Physical Activity and Bone Health in Older Japanese: the Nakanojo Study
Bibliographic record
Abstract
OBJECTIVES: To examine dose/response relationships between habitual physical activity and bone health in the elderly. DESIGN: Longitudinal. SETTING: Community of Nakanojo. PARTICIPANTS: Community-living Japanese aged 65 to 84 (212 men, 284 women). MEASUREMENTS: Daily 24-h pedometer/accelerometer data were collected continuously for 5 years. A quantitative calcaneal osteosonic index (OSI) was determined annually. RESULTS: Year-end OSI values were higher in those with greater daily step counts and especially a greater duration of activity >3 metabolic equivalents (METs). However, after controlling for baseline OSI, age and body mass, final OSI values were not significantly greater in the fourth than in the third activity quartile, where men and women, respectively, took means of 7,700 and 7,500 steps/day and/or exercised at an intensity >3 METs for means of 19 and 17 min/day. A multivariate-adjusted proportional hazards model predicted that the OSI values of men and women were, respectively, 2.6 (1.4-4.4) and 3.3 (2.1-5.2) and/or 2.8 (1.5-5.6) and 3.9 (2.4-6.7) times more likely to drop below the OSI fracture threshold over 5 years in the two lowest activity quartiles (<7,000 and <6,900 steps/day and/or <18 and <17 min/day at >3 METs) than in the highest quartile (>9,100 and >8,800 steps/day and/or >30 and >25 min/day at >3 METs). CONCLUSION: After adjustment for potential confounders, the calcaneal health of seniors is associated with both the daily step count and the duration of activity at an intensity >3 METs. The bone health is optimal in elderly people who take at least 7,000-8,000 steps/day and/or spend at least 15-20 min/day at an intensity >3 METs.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".