Test-retest reliability of a modified International Physical Activity Questionnaire (IPAQ) to capture neighbourhood physical activity
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Introduction: Few self-report tools capture neighbourhood physical activity. The aim of our study was to modify a widely-used self-report tool (International Physical Activity Questionnaire -IPAQ) to capture neighbourhood physical activity and estimate the test-retest reliability of these modifications. Material and Methods: Seventy-five adults completed the modified IPAQ twice, 7-days apart, capturing neighbourhood daysweek -1 and usual minutesday -1 of bicycling and walking for transport and leisure, moderate physical activity, and vigorous physical activity. Test-retest reliability was assessed with Intraclass Correlations (ICC), percent of overall agreement and Kappa statistics (). Results: Consistency in participation in neighbourhood PA ranged from k = 0.21 for moderate physical activity to k = 0.55 for vigorous physical activity, while proportion of overall agreement ranged from 64.0% for moderate physical activity to 81.3% for bicycling for transportation. ICC for reported neighbourhood PA between the two occasions ranged from ICC = 0.33 for moderate physical activity to ICC = 0.69 for bicycling for transportation for daysweek -1 , ICC = 0.17 for bicycling for transportation to ICC = 0.48 for walking for leisure for minutesday -1 , and ICC = 0.31 for vigorous physical activity to ICC = 0.52 for walking for leisure for minutesweek -1 . Conclusions: With the exception of minutes spent bicycling for transportation, our findings suggest that IPAQ items can be modified to provide
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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 | 0.000 | 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 | 0.001 |
| 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 it