Bibliographic record
Abstract
The aim of this book is to provide an updated synthesis of the scientific evidence linking exercise training to health outcomes in chronic disease. Editor John Saxton, a professor of clinical exercise physiology, has contributed the introduction and co-authored one chapter; the remaining 16 chapters, each focusing on a specific chronic disease, are contributed by international health care professionals, researchers, and research groups. The introduction highlights key questions to consider when assessing the efficacy of exercise training, provides definitions of exercise terminology, describes levels of evidence, and discusses dose–response issues. Several common chronic diseases are discussed, including cardiovascular and metabolic conditions (coronary heart disease, hypertension, stroke, peripheral arterial disease/intermittent claudication, type 2 diabetes); respiratory diseases (chronic obstructive lung disease, asthma); musculoskeletal and rheumatic disorders (osteoarthritis, osteoporosis, rheumatoid arthritis, ankylosing spondylitis, chronic fatigue syndrome, fibromyalgia syndrome); neurological conditions (multiple sclerosis, Parkinson disease); cancer (colorectal, breast, and prostate); and obesity. Kidney disease, despite being listed as a prevalent chronic disease in the introduction, is not covered elsewhere in the volume. Evidence for exercise training, including both narrative and systematic reviews, is reported from a variety of study designs, with a particular focus on randomized controlled trials. Each chapter contains an extensive reference list that includes studies published up to 2010. Strong, comprehensive scientific evidence for exercise training is available for some chronic diseases, showing improvements in mortality and modification of the disease process and risk factors, while less rigorous and/or preliminary evidence supports exercise training for other chronic conditions. In addition to physiologic factors such as cardiorespiratory fitness, skeletal muscle function, and body composition, the authors discuss psychosocial outcomes, such as anxiety and depression, that commonly affect people with chronic disease. Functional outcomes, measures of quality of life, and disease-specific outcomes such as pain, bone-mineral density, spinal mobility, gait velocity, motor function, and fatigue are included where relevant. The chapters vary with respect to structure, organization, format of exercise prescription recommendations, and presentation of research studies. Aerobic and resistance training and safety are discussed consistently, however, and several chapters discuss hospital training versus community and home exercise. Issues repeatedly identified as warranting future research include clarifying the response to and efficacy of exercise training for specific sub-groups of patients (considering disease severity, symptoms and phase of treatment); determining optimal prescription parameters; and addressing adherence issues. Because people with chronic disease often present with comorbidities, the disease-specific chapter format provides a helpful resource to address the multiple needs of the chronic disease population. I would recommend this book to clinicians to support evidence-based clinical practice, as well as to clinical researchers interested in investigating the effects of exercise as an adjunct treatment in chronic disease. Overall, Exercise and Chronic Disease: An Evidence-Based Approach provides a useful framework for examining existing and emerging evidence, summarizes current evidence to support clinical practice and inform clinical decision making, and emphasizes future research priorities and opportunities.
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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 | 0.000 | 0.000 |
| 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) | 0.001 | 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 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".