Exercise Testing and Prescription for Populations with Other Chronic Diseases and Health Conditions
Bibliographic record
Abstract
Get scientifically based, evidence-informed standards that prepare you for success — from the source you trust! ACSM's Guidelines for Exercise Testing and Prescription, 12th Edition, from the prestigious American College of Sports Medicine, provides authoritative, succinct summaries of recommended procedures for exercise testing and exercise prescription in healthy populations and individuals with conditions or special considerations. Now fully up to date from cover to cover, this flagship title is an essential resource for all exercise professionals, as well as other health care professionals who may counsel patients on exercise, including physicians, nurses, physician assistants, physical and occupational therapists, personal trainers, team physicians, and more. •Updated content reflects current ACSM guidance on best practices for exercise testing and prescription, based on changes in the field and advances in research. •Expanded coverage on the application of exercise testing and prescription in applied settings, as well as updated coverage on behavioral theories and resistance training. •Reader-friendly features include abbreviations and common acronyms listed up front; boxes, tables, and figures that highlight key concepts in quick-reference, easy-to-digest formats; case studies that reflect real-world experience; FITT tables that apply Frequency, Intensity, Time, and Type principles; and useful appendices on common medications, ECG interpretation tips, metabolic calculations, and more. •Updated and expanded student and instructor resources reflect all changes in the 12th edition, making this title a must-have resource for students, independent learners, and educators, as well as fitness professionals, allied health professionals, and others who care for active adults.
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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 | 0.004 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.050 | 0.030 |
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".