Examining strategies to improve accelerometer compliance for individuals living with schizophrenia.
Bibliographic record
Abstract
OBJECTIVE: This study examined the feasibility and effect of 2 investigator-based and 2 participant-based strategies on accelerometer wear time in individuals living with schizophrenia in order to improve accelerometry compliance. METHOD: Four adults with schizophrenia were asked to wear an accelerometer for 1 week during the baseline, intervention, and follow-up phases of a study that evaluated exercise counseling. To encourage participants to wear their accelerometers, investigators modeled proper accelerometer use, provided verbal and written instructions, and placed reminder phone calls. Participants were also given wear time logs and reminder magnets. RESULTS: All participants wore their accelerometers for the required amount of time during the study. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: Researchers should use multiple techniques to help ensure compliance. Research is needed to identify the most effective combination of strategies for this population.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".