Comparison of Lifecorder EX and ActiGraph accelerometers under free-living conditions.

The Kenz Lifecorder EX (LC; Suzuken Co. Ltd., Nagoya, Japan) offers several potentially attractive features for researchers and practitioners compared with accelerometers such as the ActiGraph (AG; ActiGraph Health Services, Fort Walton Beach, Fla.). The purposes of this study were (i) to evaluate the LC's intra-model reliability for outputs of steps and time spent in moderate, vigorous, and combined moderate plus vigorous physical activity (MVPA) and (ii) to compare the same LC vs. AG outputs under free-living conditions. Ten participants (n = 5 males) wore two LCs and one AG accelerometer during all waking hours on one day. Steps were outputted from all monitors. Additionally, two LC and five AG intensity derivations were used to assess time in moderate activity, vigorous activity, and MVPA. Intra-class correlations (ICC) were used to assess intra-model reliability between LCs. Paired t tests and repeated-measures analyses of variance (ANOVAs) were used to assess differences between the two LCs and LC vs. AG outputs of steps and time in various intensity derivations where appropriate. No significant differences were detected between outputs from different LCs (ICCs ranged from 0.95 to 0.99). The LC detected significantly fewer steps vs. AG (mean difference = 1516 steps). All LC vs. AG vigorous-intensity derivations provided similar outputs. Additionally, comparable estimates of MVPA time were produced by one of two LC intensity derivations compared with specific AG cut points established each by Freedson, Hendelman (walking), and Matthews. LC displayed high inter-model reliability. Although the LC detected fewer steps than the AG, the LC detects time in specific PA intensity categories comparable to several existing AG cut points.

[1]  B. Ainsworth,et al.  Estimation of energy expenditure using CSA accelerometers at hip and wrist sites. , 2000, Medicine and science in sports and exercise.

[2]  Yves Schutz,et al.  The use of uniaxial accelerometry for the assessment of physical-activity-related energy expenditure: a validation study against whole-body indirect calorimetry. , 2004, The British journal of nutrition.

[3]  Charles E Matthew,et al.  Calibration of accelerometer output for adults. , 2005, Medicine and science in sports and exercise.

[4]  P. Williams,et al.  Physical activity and public health. , 1995, JAMA.

[5]  Richard P Troiano,et al.  A timely meeting: objective measurement of physical activity. , 2005, Medicine and science in sports and exercise.

[6]  P. Freedson,et al.  Validity of accelerometry for the assessment of moderate intensity physical activity in the field. , 2000, Medicine and science in sports and exercise.

[7]  Barbara E Ainsworth,et al.  Prevalence of Physical Activity in the United States: Behavioral Risk Factor Surveillance System, 2001 , 2005, Preventing chronic disease.

[8]  C. Tudor-Locke,et al.  How Many Steps/Day Are Enough? , 2004, Sports medicine.

[9]  P S Freedson,et al.  Calibration of the Computer Science and Applications, Inc. accelerometer. , 1998, Medicine and science in sports and exercise.

[10]  Guy C. Le Masurier,et al.  Pedometer sensitivity and specificity. , 2004 .

[11]  B E Ainsworth,et al.  Quantifying energy expenditure and physical activity in the context of dose response. , 2001, Medicine and science in sports and exercise.

[12]  Barbara E Ainsworth,et al.  Comparison of pedometer and accelerometer measures of free-living physical activity. , 2002, Medicine and science in sports and exercise.

[13]  Scott E Crouter,et al.  Accuracy and reliability of 10 pedometers for measuring steps over a 400-m walk. , 2003, Medicine and science in sports and exercise.

[14]  Saori Shimizu,et al.  Lifecorder: a new device for the long-term monitoring of motor activities for Parkinson's disease. , 2004, Internal medicine.

[15]  Catrine Tudor-Locke,et al.  Comparison of pedometer and accelerometer accuracy under controlled conditions. , 2003, Medicine and science in sports and exercise.

[16]  Scott E Crouter,et al.  Validity of 10 electronic pedometers for measuring steps, distance, and energy cost. , 2003, Medicine and science in sports and exercise.

[17]  P. Freedson,et al.  Validity of the Computer Science and Applications, Inc. (CSA) activity monitor. , 1995, Medicine and science in sports and exercise.

[18]  C. Tudor-Locke,et al.  Motion sensor accuracy under controlled and free-living conditions. , 2004, Medicine and science in sports and exercise.

[19]  J. Witt,et al.  The stability of children's physical activity as measured by accelerometry and self-report. , 1995, Medicine and science in sports and exercise.

[20]  D. Bassett,et al.  Pedometer measures of free-living physical activity: comparison of 13 models. , 2004, Medicine and science in sports and exercise.

[21]  S. Kagamimori,et al.  Validation of a Self-reported Physical Activity Questionnaire for Schoolchildren , 2003, Journal of epidemiology.

[22]  K. Patrick,et al.  Physical Activity and Public Health: A Recommendation From the Centers for Disease Control and Prevention and the American College of Sports Medicine , 1995 .

[23]  D R Bassett,et al.  Comparison of MTI Accelerometer Cut-Points for Predicting Time Spent in Physical Activity , 2003, International journal of sports medicine.

[24]  A. Manley Physical Activity And Health: A Report Of The Surgeon General , 2004 .