期刊论文详细信息
BMC Medical Research Methodology
Comparison of uniaxial and triaxial accelerometry in the assessment of physical activity among adolescents under free-living conditions: the HELENA study
Frédéric Gottrand1  Michael Sjöström2  Patrick Bergman5  Alain Duhamel3  Laurent Béghin4  Jérémy Vanhelst4 
[1]Inserm U995, IFR114, Faculty of medicine, University Lille 2, Lille, France
[2]Unit for Preventive Nutrition, Department of Biosciences and Nutrition, Karolinska Institute, Huddinge, Sweden
[3]Department of Biostatistic, CHU Lille, Univ Lille Nord de France, F-59000 Lille, France
[4]CIC-9301-CHRU-INSERM, University hospital, Lille, France
[5]School of ZEducation, psychology and sport sciences, Linneaus University, Kalmar, Sweden
关键词: Youth;    Energy expenditure;    Human locomotion;    Accelerometers;   
Others  :  1136799
DOI  :  10.1186/1471-2288-12-26
 received in 2011-07-11, accepted in 2012-03-12,  发布年份 2012
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【 摘 要 】

Background

Different types of devices are available and the choice about which to use depends on various factors: cost, physical characteristics, performance, and the validity and intra- and interinstrument reliability. Given the large number of studies that have used uniaxial or triaxial devices, it is of interest to know whether the different devices give similar information about PA levels and patterns. The aim of this study was to compare physical activity (PA) levels and patterns obtained simultaneously by triaxial accelerometry and uniaxial accelerometry in adolescents in free-living conditions.

Methods

Sixty-two participants, aged 13-16 years, were recruited in this ancillary study, which is a part of the Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA). All participants wore a uniaxial accelerometer (ActiGraph GT1M®, Pensacola, FL) and a triaxial accelerometer (RT3®, Stayhealthy, Monrovia, CA) simultaneously for 7 days. The patterns were calculated by converting accelerometer data output as a percentage of time spent at sedentary, light, moderate, and vigorous PA per day. Analysis of output data from the two accelerometers were assessed by two different tests: Equivalence Test and Bland & Altman method.

Results

The concordance correlation coefficient between the data from the triaxial accelerometer and uniaxial accelerometer at each intensity level was superior to 0.95. The ANOVA test showed a significant difference for the first three lower intensities while no significant difference was found for vigorous intensity. The difference between data obtained with the triaxial accelerometer and the uniaxial monitor never exceeded 2.1% and decreased as PA level increased. The Bland & Altman method showed good agreement between data obtained between the both accelerometers (p < 0.05).

Conclusions

Uniaxial and triaxial accelerometers do not differ in their measurement of PA in population studies, and either could be used in such studies.

【 授权许可】

   
2012 Vanhelst et al; licensee BioMed Central Ltd.

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【 参考文献 】
  • [1]Fox KR, Stathi A, McKenna J, Davis MG: Physical activity and mental well-being in older people participating in the Better Ageing Project. Eur J Appl Physiol 2007, 100:591-602.
  • [2]Patrick K, Norman GJ, Calfas KJ, Sallis JF, Zabinski MF, Rupp J, Cella J: Diet, physical activity, and sedentary behaviors as risk factors for overweight in adolescence. Arch Pediatr Adolesc Med 2004, 158:385-90.
  • [3]Toschke JA, von Kries R, Rosenfeld E, Toschke AM: Reliability of physical activity measures from accelerometry among preschoolers in free-living conditions. Clin Nutr 2007, 26:416-20.
  • [4]Chen KY, Bassett DR: The technology of accelerometry-based activity monitors: current and future. Med Sci Sports Exerc 2005, 37(11 Suppl):S490-500.
  • [5]Moreno LA, González-Gross M, Kersting M, Molnár D, de Henauw S, Beghin L, Sjöström M, Hagströmer M, Manios Y, Gilbert CC, et al.: Assessing, understanding and modifying nutritional status, eating habits and physical activity in European adolescents. The HELENA Study. Public Health Nutr 2008, 11:288-299.
  • [6]Cole TJ, Bellizzi MC, Flegal KM, Dietz WH: Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ 2000, 320:1240-3.
  • [7]Tanner JM: Normal growth and techniques of growth assessment. Clin Endocrinol Metab 1986, 15:411-51.
  • [8]Béghin L, Castera M, Manios Y, Gilbert CC, Kersting M, De Henauw S, Kafatos A, Gottrand F, Molnar D, Sjöström M, et al.: Quality assurance of ethical issues and regulatory aspects relating to good clinical practices in the HELENA Cross-Sectional Study. Int J Obes 2008, 32:S12-8.
  • [9]Powell SM, Jones DI, Rowlands AV: Technical variability of the RT3 accelerometer. Med Sci Sports Exerc 2003, 35:1773-8.
  • [10]Vanhelst J, Béghin L, Rasoamanana P, Theunynck D, Meskini T, Iliescu C, Duhamel A, Turck D, Gottrand F: RT3 accelerometer thresholds for physical activity levels in children and adolescents. J Sports Sci 2010, 28:381-7.
  • [11]Krasnoff JB, Kohn MA, Choy FK, Doyle J, Johansen K, Painter PL: Interunit and intraunit reliability of the RT3 triaxial accelerometer. J Phys Act Health 2008, 5:527-38.
  • [12]Reneman M, Helmus M: Interinstrument reliability of the RT3 accelerometer. Int J Rehabil Res 2010, 33:178-9.
  • [13]Vanhelst J, Theunynck D, Gottrand F, Béghin L: Reliability of the RT3 accelerometer for measurement of physical activity in adolescents. J Sports Sci 2010, 28:375-9.
  • [14]Vanhelst J, Béghin L, Turck D, Gottrand F: New validated thresholds for various intensities of physical activity in adolescents using the Actigraph accelerometer. Int J Rehabil Res 2011, 34:175-77.
  • [15]Esliger DW, Tremblay MS: Technical reliability assessment of three accelerometer models in a mechanical setup. Med Sci Sports Exerc 2006, 38:2173-81.
  • [16]Fleiss JL: Design and analysis of clinical experiments. In New York. Edited by York N. NY: USA; 1986.
  • [17]Bland JM, Altman DG: Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986, 1:307-310.
  • [18]Eston RG, Rowlands AV, Ingledew DK: Validity of heart rate, pedometry, and accelerometry for predicting the energy cost of children's activities. J Appl Physiol 1998, 84:362-71.
  • [19]Plasqui G, Joosen AM, Kester AD, Goris AH, Westerterp KR: Measuring free-living energy expenditure and physical activity with triaxial accelerometry. Obes Res 2005, 13:1363-9.
  • [20]Westerterp KR: Assessment of physical activity level in relation to obesity: current evidence and research issues. Med Sci Sports Exerc 1999, 31:S522-5.
  • [21]Howe CA, Staudenmayer JW, Freedson PS: Accelerometer prediction of energy expenditure: vector magnitude versus vertical axis. Med Sci Sports Exerc 2009, 41:2199-206.
  • [22]Macfarlane DJ, Lee CC, Ho EY, Chan KL, Chan D: Convergent validity of six methods to assess physical activity in daily life. J Appl Physiol 2006, 101:1328-34.
  • [23]Paul DR, Kramer M, Moshfegh AJ, Baer DJ, Rumpler WV: Comparison of two different physical activity monitors. BMC Med Res Methodol 2007, 7:26. BioMed Central Full Text
  • [24]Rothney MP, Schaefer EV, Neumann MM, Choi L, Chen KY: Validity of physical activity intensity predictions by ActiGraph, Actical, and RT3 accelerometers. Obesity 2008, 16:1946-52.
  • [25]Leenders NY, Sherman WM, Nagaraja HN: Energy expenditure estimated by accelerometry and doubly labeled water: do they agree? Med Sci Sports Exerc 2006, 38:2165-72.
  • [26]Baquet G, Stratton G, Van Praagh E, Berthoin S: Improving physical activity assessment in prepubertal children with high-frequency accelerometry monitoring: a methodological issue. Prev Med 2007, 44:143-7.
  • [27]Treuth MS, Schmitz K, Catellier DJ, McMurray RG, Murray DM, Almeida MJ, Going S, Norman JE, Pate R: Defining accelerometer thresholds for activity intensities in adolescent girls. Med Sci Sports Exerc 2004, 36:1259-66.
  • [28]Puyau MR, Adolph AL, Vohra FA, Butte NF: Validation and calibration of physical activity monitors in children. Obes Res 2002, 10:150-7.
  • [29]Ekelund U, Sardinha LB, Anderssen SA, Harro M, Franks PW, Brage S, Cooper AR, Andersen LB, Riddoch C, Froberg K: Associations between objectively assessed physical activity and indicators of body fatness in 9 to 10-year-old European children: a population-based study from 4 distinct regions in Europe (the European Youth Heart Study). Am J Clin Nutr 2004, 80:584-590.
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