Estimating Activity and Sedentary Behavior from an Accelerometer on the Hip or Wrist

被引:174
作者
Rosenberger, Mary E. [1 ]
Haskell, William L. [1 ]
Albinali, Fahd [2 ]
Mota, Selene [3 ]
Nawyn, Jason [3 ]
Intille, Stephen [4 ,5 ]
机构
[1] Stanford Univ, Stanford Prevent Res Ctr, Stanford, CA 94305 USA
[2] EveryFit Inc, Cambridge, MA USA
[3] MIT, Sch Architecture, House N, Cambridge, MA 02139 USA
[4] Northeastern Univ, Coll Comp & Informat Sci, Boston, MA 02115 USA
[5] Northeastern Univ, Bouve Coll Hlth Sci, Boston, MA 02115 USA
基金
美国国家卫生研究院;
关键词
ACTIVITY MONITOR; ACCELEROMETER; MOBILE PHONES; THRESHOLDS; COEFFICIENT OF VARIATION; SEDENTARY BEHAVIOR; EXERCISE; ARTIFICIAL NEURAL-NETWORK; PHYSICAL-ACTIVITY; ENERGY-EXPENDITURE; ACTIVITY RECOGNITION; COMPUTER-SCIENCE; TIME; RISK; CALIBRATION; VALIDITY; ASSOCIATIONS;
D O I
10.1249/MSS.0b013e31827f0d9c
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
ROSENBERGER, M. E., W. L. HASKELL, F. ALBINALI, S. MOTA, J. NAWYN, and S. INTILLE. Estimating Activity and Sedentary Behavior from an Accelerometer on the Hip or Wrist. Med. Sci. Sports Exerc., Vol. 45, No. 5, pp. 964-975, 2013. Purpose: Previously, the National Health and Examination Survey measured physical activity with an accelerometer worn on the hip for 7 d but recently changed the location of the monitor to the wrist. This study compared estimates of physical activity intensity and type with an accelerometer on the hip versus the wrist. Methods: Healthy adults (n = 37) wore triaxial accelerometers (Wockets) on the hip and dominant wrist along with a portable metabolic unit to measure energy expenditure during 20 activities. Motion summary counts were created, and receiver operating characteristic (ROC) curves were then used to determine sedentary and activity intensity thresholds. Ambulatory activities were separated from other activities using the coefficient of variation of the counts. Mixed-model predictions were used to estimate activity intensity. Results: The ROC for determining sedentary behavior had greater sensitivity and specificity (71% and 96%) at the hip than at the wrist (53% and 76%), as did the ROC for moderate-to vigorous-intensity physical activity on the hip (70% and 83%) versus the wrist (30% and 69%). The ROC for the coefficient of variation associated with ambulation had a larger AUC at the hip compared to the wrist (0.83 and 0.74). The prediction model for activity energy expenditure resulted in an average difference of 0.55 +/- 0.55 METs on the hip and 0.82 +/- 0.93 METs on the wrist. Conclusions: Methods frequently used for estimating activity energy expenditure and identifying activity intensity thresholds from an accelerometer on the hip generally do better than similar data from an accelerometer on the wrist. Accurately identifying sedentary behavior from a lack of wrist motion presents significant challenges.
引用
收藏
页码:964 / 975
页数:12
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