VALIDITY OF ASSESSMENT OF DAILY ENERGY EXPENDITURE IN A RESPIRATION CHAMBER BY ACCELEROMETRY LOCATED ON THE WAIST VS THE WRIST OR IN COMBINATION
Notice bibliographique
Résumé
PURPOSE: We have reported that the energy expenditure (EE) estimated by uniaxial accelerometry in the vertical plane (Lifecorder, Suzuken Co.; LC) located on the waist was highly correlated with EE measured in a respiration chamber (MSSE.33:s251,2001). On the other hand, slight movements of the limbs (i.e. fidgeting) also seem to play an important role in daily EE. The purpose of this study was to investigate the validity of accelerometry as a predictor of daily EE when two accelerometers are used separately, one on the wrist and the other one on the waist levels, or in combination. METHODS: In 55 healthy Japanese (37+/− 12 y of age, BMI = 21.7+/− 3.3 kg/m2) we measured 24-h EE in a respiration chamber. The subjects were prescribed two 30 min walking exercises on the treadmill (3.9, 5.1km/h, flat) and the sleeping duration was controlled (for 8-h). The subjects wore two LCs, one on the belt (LCbeit) and the other one on the wrist of the dominant arm (LCwrist). Linear regressions were calculated between measured EE normalized for body weight (kcal/kg*h) and LC activity levels assessed by acceleration (11 levels; 0, 0.5 and 1 to 9), and LCbeit vs LCwrist after these values were averaged over 15-min periods for a total of 16-h. RESULTS: There were highly significant relationships between EE and both accelerometric measures. The degree of correlation between LCbeit and EE was higher than that between LCwrist and EE: r = 0.817 p < 0.001, SEE = 0.41 vs r = 0.694 p < 0.001, SEE = 0.51, respectively. If treadmill walking periods are not considered, both correlations were found to be lower: r = 0.557 p < 0.001, SEE = 0.38 vs r = 0.476 p < 0.001, SEE = 0.40, respectively. When multiple regression analysis was used to explore the effect of the addition of LCwrist to LCbeit, the variance improved only by 0.8% including treadmill periods and 2.5% excluding treadmill periods. There were significant relationships between the activity levels measured by the 2 accelerations locations: r = 0.782 p < 0.001 with treadmill periods, r = 0.629 p < 0.001 without treadmill periods. CONCLUSION: Adding LCwrist to LCbeit did not substantially improve the degree of prediction of daily energy expenditure. As a result, single accelerometer located on the waist level has sufficient validity for the estimation of the daily energy expenditure in confined conditions.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».