EXERCISE PRESCRIPTION AND COUNSELING BY PHYSICIANS TO THEIR OLDER PATIENTS
Bibliographic record
Abstract
PURPOSE: We report the baseline characteristics of a primary care physical activity intervention among family physicians and their older patients. METHODS: STEP is a 12-month, stratified, clustered randomized clinical trial, with 305 older adults aged 55 to 85 years from 37 family practices (21 intervention and 16 control) in four regions of Canada. Intervention physicians were trained to deliver an exercise prescription and counselling program based on the STEP model and the transtheoretical model of behaviour change. Control physicians prescribed exercise as usual care. Primary outcome measure is cardiorespiratory fitness (VO2max). Secondary outcomes: energy expenditure in physical activity (kcal/day), stage of change and exercise benefits and barriers. All patients had office assessments at baseline with follow up at 3, 6, 9, and 12 months, and monthly staging telephone calls (8). RESULTS: The study screened 346 patients and had an enrollment rate of 91%. Baseline data yielded 127 men and 178 women with a mean age of 63.7 ± 7.6 years. For this age group, the mean maximal oxygen consumption was 30.97 ± 7.88 ml.kg−1.min−1 and the mean energy expended was 2650.68 ± 567.55 kcal/day. Almost half of the patients were classified as maintenance stage, 10.8% were classified as being in action, 16.7% preparation, whereas 25% were either in contemplation or precontemplation stage. Perceived barriers to exercise were high (42.69 ± 5.59; range 14–56) with low perception of benefits of exercise (53.74 ± 11.67; range 29–116). CONCLUSION: This group of subjects were primarily in maintenance and showed higher levels of fitness but lower activity level. We will determine whether an exercise prescription and counselling model that is tailored to the patient characteristics (fitness and stage of change) will enable family physicians to increase fitness, physical activity and perceived benefit among these patients. Supported by CIHR and Pfizer Canada Inc.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".