Accuracy of a New Activity Monitor for Assessing Exercise Intensity during Walking
Notice bibliographique
Résumé
1391 To better understand the dose-response relationship between physical activity (PA) and health outcomes, it is necessary to accurately quantify daily PA. Based on pedometer research, a target of 10,000 steps/day has been promoted. Increasingly, researchers are proposing that the intensity of PA may be more important than the total amount; with medium and high intensity PA being particularly effective. Walking speed is a direct measure of intensity during walking. A new ankle-mounted accelerometer-based activity monitor (Dynastream Innovations, Inc., Alberta, Canada) is available that not only tracks step count, but also walking speed and distance traveled. PURPOSE: To determine the accuracy of this new activity monitor for counting steps and computing distance traveled at 3 walking speeds in populations of children, adults, and seniors. METHODS: Eight adults, 8 children, and 8 seniors (over 60 yrs of age) were recruited to perform five 200 m walks wearing the uncalibrated activity monitor. Three trials were performed at a comfortable self-selected walking speed (SSWS). For the fourth trial the subjects walked “as slowly as you ever would in daily life”, and for the last trial the subjects received the same instruction for fast walking. The adult group also performed 3 trials of a step protocol: they walked a prescribed number of steps (18 or 22), stopped for an interval (20 s), and then repeated the pattern 5 times. This protocol tests the step count in a challenging stop-start situation. Walking time was recorded from the monitor. Output from the activity monitor was compared with the measured or counted values. RESULTS: The average age of the participants was 8.0, 24.4, and 72.6 yrs for the children, adults, and seniors respectively. The SSWS ranged from 0.74–2.0 m/s. Differences in walking speed between groups were statistically significant for all 3 speeds (p < 0.05). Calculating the average percent difference between the distances measured with the activity monitor and the true distance, the accuracy of the monitor was 94%. There were no statistically significant differences in the accuracy of the distance computation between groups or between walking speeds (p > 0.22). The step count accuracy during the step protocol was more than 99%. CONCLUSIONS: Very accurate step counts can be achieved with this new activity monitor. Accurate measurements of the distance walked were demonstrated in 3 populations (adults, children, and seniors) across a range of SSWS. Since speed is simply distance per time, the walking speed accuracy is expected to match the distance accuracy at 94%. Measurement of walking speed enables assessment of the impact of intensity of PA on health outcomes.
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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 | 0,002 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,001 |
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 ».