Validity of estimating minute-by-minute energy expenditure of continuous walking bouts by accelerometry
Tóm tắt
Objective measurement of physical activity remains an important challenge. For wearable monitors such as accelerometer-based physical activity monitors, more accurate methods are needed to convert activity counts into energy expenditure (EE). The purpose of this study was to examine the accuracy of the refined Crouter 2-Regression Model (C2RM) for estimating EE during the transition from rest to walking and walking to rest. A secondary purpose was to determine the extent of overestimation in minute-by-minute EE between the refined C2RM and the 2006 C2RM. Thirty volunteers (age, 28 ± 7.7 yrs) performed 15 minutes of seated rest, 8 minutes of over-ground walking, and 8 minutes of seated rest. An ActiGraph GT1M accelerometer and Cosmed K4b2 portable metabolic system were worn during all activities. Participants were randomly assigned to start the walking bout at 0, 20, or 40 s into the minute (according to the ActiGraph clock). Acceleration data were analyzed by two methods: 2006 Crouter model and a new refined model. The 2006 Crouter 2-Regression model over-predicted measured kcal kg-1 hr-1 during the first and last transitional minutes of the 20-s and 40-s walking conditions (P < 0.001). It also over-predicted the average EE for a walking bout (4.0 ± 0.5 kcal kg-1 hr-1), compared to both the measured kcal kg-1 hr-1 (3.6 ± 0.7 kcal kg-1 hr-1) and the refined Crouter model (3.5 ± 0.5 kcal kg-1 hr-1) (P < 0.05). The 2006 Crouter 2-regression model over-predicts EE at the beginning and end of walking bouts, due to high variability in accelerometer counts during the transitional minutes. The new refined model eliminates this problem and results in a more accurate prediction of EE during walking.
Tài liệu tham khảo
Freedson PS, Melanson E, Sirard J: Calibration of the computer science and applications, inc. Accelerometer. Med Sci Sports Exerc. 1998, 30 (5): 777-81. 10.1097/00005768-199805000-00021.
Hendelman D, Miller K, Baggett C, Debold E, Freedson P: Validity of accelerometry for the assessment of moderate intensity physical activity in the field. Med Sci Sports Exerc. 2000, 32 (9 Suppl): S442-9.
Swartz AM, Strath SJ, Bassett DR, O'Brien WL, King GA, Ainsworth BE: Estimation of energy expenditure using csa accelerometers at hip and wrist sites. Med Sci Sports Exerc. 2000, 32 (S9): S450-S6.
Bassett DR, Ainsworth BE, Swartz AM, Strath SJ, O'Brien WL, King GA: Validity of four motion sensors in measuring moderate intensity physical activity. Med Sci Sports Exerc. 2000, 32 (S9): S471-S80.
Crouter SE, Churilla JR, Bassett DR: Estimating energy expenditure using accelerometers. Eur J Appl Physiol. 2006, 98 (6): 601-12. 10.1007/s00421-006-0307-5.
Crouter SE, Clowers KG, Bassett DR: A novel method for using accelerometer data to predict energy expenditure. J Appl Physiol. 2006, 100 (4): 1324-31.
Crouter SE, Kuffel EE, Frongillo EA, Haas JD, Bassett DRJ: Refined two-regression model for the actigraph accelerometer. Med Sci Sports Exerc. 2010, 42 (5): 1029-37. 10.1249/MSS.0b013e3181c37458.
Hawkins MS, Storti KL, Richardson CR, King WC, Strath SJ, Holleman RG, et al: Objectively measured physical activity of USA adults by sex, age, and racial/ethnic groups: A cross-sectional study. Int J Behav Nutr Phys Act. 2009, 6: 31-10.1186/1479-5868-6-31.
Clanchy KM, Tweedy SM, Boyd RN, Trost SG: Validity of accelerometry in ambulatory children and adolescents with cerebral palsy. Eur J Appl Physiol. 2011
Tucker JM, Welk GJ, Beyler NK: Physical activity in u.S. Adults compliance with the physical activity guidelines for americans. Am J Prev Med. 2011, 40 (4): 454-61. 10.1016/j.amepre.2010.12.016.
Bland JM, Altman DG: Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986, 1 (8476): 307-10.
Powers SK, Howley ET: Exercise physiology: Theory and application to fitness and performance. 2007, New York: McGraw-Hill Companies, Inc, 6
Rothney MP, Brychta RJ, Meade NN, Chen KY, Buchowski MS: Validation of the actigraph two-regression model for predicting energy expenditure. Med Sci Sports Exerc. 2010, 42 (9): 1785-92. 10.1249/MSS.0b013e3181d5a984.
Crouter SE, DellaValle DM, Kuffel EE, Frongillo EA, Haas JD, Bassett DR: Validity of accelerometry during free-living activity [abstract]. Med Sci Sports Exerc. 2009, 41: S129.
Orendurff MS, Schoen JA, Bernatz GC, Segal AD, Klute GK: How humans walk: Bout duration, steps per bout, and rest duration. J Rehabil Res Dev. 2008, 45 (7): 1077-89. 10.1682/JRRD.2007.11.0197.
John D, Tyo B, Bassett DR: Comparison of four actigraph accelerometers during walking and running. Med Sci Sports Exerc. 2010, 42 (2): 368-74. 10.1249/MSS.0b013e3181b3af49.