지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2022.10
- 수록면
- 565 - 576 (12page)
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초록· 키워드
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BACKGROUND/OBJECTIVES: Various accelerometer equations are used to predict energy expenditure (EE). On the other hand, the development of these equations and their validation studies have been conducted primarily without including older adults. This study assessed the accuracy of 8 ActiGraph accelerometer equations to predict the energy cost of walking in older adults.
SUBJECTS/METHODS: Thirty-one participants with a mean age of 74.3 ± 3.3 yrs were enrolled in this study (20 men and 11 women). The participants completed 8 walking activities, including 5 treadmill and 3 self-paced walking activities. The EE was measured using a portable indirect calorimeter, with each participant simultaneously wearing the ActiGraph accelerometer. Eight ActiGraph equations were assessed for accuracy by comparing the predicted EE with indirect calorimetry results.
RESULTS: All equations resulted in an overall underestimation of the EE across the activities (bias −1 to −1.8 kcal·min<SUP>−1</SUP> and −0.7 to −1.8 metabolic equivalents [METs]), as well as during treadmill-based (bias −1.5 to −2.9 kcal·min<SUP>−1</SUP> and −0.9 to −2.1 METs) and self-paced (bias −1.2 to −1.7 kcal·min<SUP>−1</SUP> and −0.2 to −1.3 METs) walking. In addition, there were higher rates of activity intensity misclassifications, particularly among vigorous physical activities.
CONCLUSIONS: The ActiGraph equations underestimated the EE for walking activities in older adults. In addition, these equations inaccurately classified the activities based on their intensities. The present study suggests a need to develop ActiGraph equations specific to older adults.
SUBJECTS/METHODS: Thirty-one participants with a mean age of 74.3 ± 3.3 yrs were enrolled in this study (20 men and 11 women). The participants completed 8 walking activities, including 5 treadmill and 3 self-paced walking activities. The EE was measured using a portable indirect calorimeter, with each participant simultaneously wearing the ActiGraph accelerometer. Eight ActiGraph equations were assessed for accuracy by comparing the predicted EE with indirect calorimetry results.
RESULTS: All equations resulted in an overall underestimation of the EE across the activities (bias −1 to −1.8 kcal·min<SUP>−1</SUP> and −0.7 to −1.8 metabolic equivalents [METs]), as well as during treadmill-based (bias −1.5 to −2.9 kcal·min<SUP>−1</SUP> and −0.9 to −2.1 METs) and self-paced (bias −1.2 to −1.7 kcal·min<SUP>−1</SUP> and −0.2 to −1.3 METs) walking. In addition, there were higher rates of activity intensity misclassifications, particularly among vigorous physical activities.
CONCLUSIONS: The ActiGraph equations underestimated the EE for walking activities in older adults. In addition, these equations inaccurately classified the activities based on their intensities. The present study suggests a need to develop ActiGraph equations specific to older adults.
목차
ABSTRACT
INTRODUCTION
SUBJECTS AND METHODS
RESULTS
DISCUSSION
REFERENCES
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