RESPONSE: DEFINING EXERCISE CAPACITY, EXERCISE PERFORMANCE, AND A SEDENTARY LIFESTYLE
Notice bibliographique
Résumé
Dear Editor-in-Chief: The difficulty that White and Fulcher express in accepting our data may lie in a misinterpretation of the terminology and testing procedures used by exercise physiologists to define exercise status. Exercise capacity. The two critical measures of exercise capacity are maximal oxygen uptake and the lactate threshold (3,9). These measures can be precisely quantified according to well-accepted criteria (6) and were found to be normal in our study. Therefore, the claim that we “did not give the data” to support our finding is untrue. We suspect that they are confusing “exercise capacity” with “exercise performance” where the time taken to complete a given task or total work completed may be used as measures. Although no one denies that “exercise performance” is impaired in CFS, obtaining a useful index of performance in sedentary individuals is notoriously difficult (7,8) and almost impossible where there is a strong element of unexplained fatigue. Sedentary. “Sedentary” (2,11) is used to define normal, healthy individuals not engaged in regular, structured physical activity and normative population data abound to describe the exercise capacity of such individuals (1,5). The majority of individuals (> 70%) in Western societies can be categorized as “sedentary,” and their exercise capacity is appropriate to meet the demands of this lifestyle. Therefore, it is misleading to state, “patients with CFS were ...at least as deconditioned as sedentary healthy controls.” Gender. Comparisons of exercise status between subject groups that include members of both genders, whether the numbers in each group are the same or not, are meaningless. All normative population data (1,5), describing the exercise status of sedentary individuals, are routinely stratified on a gender basis. Exercise and CFS. Although it is well accepted that an appropriate graded exercise program will increase the exercise capacity of sedentary individuals, the central issue is whether CFS patients have a loss of normal, sedentary exercise capacity, which then requires correction. Our study (10) provided no evidence of a reduction in exercise capacity and, therefore, there is no physiological basis for instituting an exercise-training program. We feel that much of the confusion that White and Fulcher find between our study and those of other authors resides in the definitions used and the exercise tests employed. From our reading, much of the exercise testing in CFS patients has been directed at exercise performance. Hence, the widely reported reductions in maximal heart rate, ventilation, workload, and peak oxygen uptake are not unexpected. They almost certainly reflect the outcome of symptom-limited protocols where tests were terminated prematurely by unexplained fatigue rather than a reduced exercise capacity, an opinion shared by Fischler et al. (4). We found (10) that the “metabolic engine” of CFS patients was not different from that expected in healthy sedentary individuals of a similar age and gender. Therefore, the cause of their fatigue, which severely reduces exercise performance and results in extreme postexercise exhaustion, must be sought elsewhere. Charli Sargent, B App Sci, B Sc (Hons) Garry Scroop, MD, PhD
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,033 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,003 | 0,004 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,027 | 0,031 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,018 | 0,011 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».