본문 바로가기
KERD
논문KCI 등재

객관적 신체활동 검사도구의 타당도 증거와 검증 절차: 체계적 문헌분석

Validity Evidences and Validation Procedures of Objective Physical Activity Measures

이미영
한국체육측정평가학회 (Korean Society For Measurement And Evaluation In Physical Education And Sports Science)|2011.08|한국체육측정평가학회지 (The Korean Journal of Measurement and Evaluation in Physical Education and Sports Science)|제13권 제2호|pp. 17-37|DOI 10.21797/ksme.2011.13.2.002

2

조회

0

다운로드

33

인용

0

참고문헌

키워드

정확성validity타당도신체활동physical activityaccuracymeasurement error측정오차

초록

이 연구에서는 객관적 신체활동 현장 검사도구의 타당도 증거를 제시하고 그동안 연구에서 이용된 타당화 검증절차를 체계적인 문헌분석을 통하여 요약하였다. 문헌분석 결과, 현재까지 사용빈도가 높은 가속도계는 Actigraph (USA) 이고, 보행계수계는 Yamax (Japan)와 Omron (Japan)으로서 상대적으로 정확한 것으로 밝혀졌다. 또한, 가속도계와 보행계수계 형태의 객관적 신체활동 검사도구는 허리부위에 착용하는 것이 상대적으로 정확하고, 적어도 주중과 주말을 포함한 5~6일, 1일 10시간 이상 착용해야 비교적 정확한 신체활동량을 얻을 수 있었다. 한편, 가속도계를 이용할 때는 자료요약 주기 (epoch length) 를 성인 (1분) 과 유아ㆍ아동 (15초) 에 따라 다르게 설정해야 하고, 연구대상에 따라 신체활동 추정식과 활동 강도의 기준치 (cut-points of intensity)를 다르게 적용해야한다. 한편, 보행계수계를 사용할 때는 걷기 속도와 착용부위에 따라 정확도의 결과가 달라 질 수 있음으로 연구에 적용하기 전에 가능한 정확성을 다시 한 번 검증하기를 권장하고 있다.

Abstract

The purposes of this study was to conduct the systematic review of validity evidences of objective physical activity measures focusing on accelerometers and pediments. It was also introduced how to conduct the validation study utilizing the objective physical activity measure. To ensure the content related validity, the measurement specialist collected 1346 articles using the key words including physical activity assessments, validity, accuracy, accelerometer, and pedometer. Then the experts selected the articles based on the citation index, systematic review, and randomized studies for this study. After summarizing validity evidences and validation procedures, key points of conducting physical activity promotion researches while using objective measures are: 1) The researchers should check the accuracy of the measures selected for their research populations even though the validity evidence was previously provided due to the individual and population variabilities. 2) The participants should wear the objective measurers at least 5-6 days/week and 10 hours/day to obtain reliable amounts of physical activity. 3) The cut-points of physical activity intensity and epoch length of accelerometer should be differently applied for adults and children. The epoch lengths are preferred to 15 sec for children and 1 minute for adults, respectively. 4) Wearing positions, such as waist or hips, are the most accurate positions for obtaining accurate data from both of pedometer and accelerometer. 5) The pedometer is affected by the walking speed. Before utilizing the pedometer, the researcher should check walking speed of the target population first.

참고문헌 (97)

  1. 강민수, "신체활동 평가에 관한 고찰", 한국체육측정평가학회지, 62(2), pp.54~ (2005)
  2. 박재갑, "한국인을 위한 신체활동 가이드라인 2010", 신체활동 가이드라인 심포지엄 (2010), 국립중앙의료원
  3. 박재현, "신체활동평가를 위한 한국어판 신체활동 목록과 컴퓨터 프로그램 개발", 한국체육학회지, 44(2), pp.385~404 (2005), 한국체육학회
  4. 박재현, "체지방 측정기의 현장적용: BIA 측정도구의 타당도", 제8회 운동사대회 2007 운동학심포지엄, pp.22~24 (2007)
  5. 조정환, "보행계수기의 착용위치 불변성 연구", 한국체육측정평가학회지, 12(3), pp.1~14 (2010), 한국체육측정평가학회
  6. American Educational Research Association, "Standards for educational and psychological testing" (1999), American Educational Research Association
  7. Atallah, L., "Energy expenditure prediction using a miniaturized ear-worn sensor", Med Sci Sports Exerc, 43(7), pp.1369~1377 (2011)
  8. Bassett, D. R., Jr., "Accuracy of five electronic pedometers for measuring distance walked", Medicine & Science in Sports & Exercise, 28(8), pp.1071~1077 (1996)
  9. Bassett, D. R., Jr., "Validity of four motion sensors in measuring moderate intensity physical activity", Med Sci Sports Exerc, 32(9), pp.471~480 (2000)
  10. Bassett, D. R., Jr., "Validity of four motion sensors in measuring moderate intensity physical activity", Medicine & Science in Sports & Exercise, 32(9), pp.471~480 (2000)
  11. Brage, S., "Reexamination of validity and reliability of the CSA monitor in walking and running", Med Sci Sports Exerc, 35(8), pp.1447~1454 (2003)
  12. Campbell, K. L, "Field evaluation of energy expenditure in women using Tritrac accelerometers", Med Sci Sports Exerc, 34(10), pp.1667~1674 (2002)
  13. Chen, K. Y., "Predicting energy expenditure of physical activity using hip- and wrist-worn accelerometers", Diabetes Technol Ther, 5(6), pp.1023~1033 (2003)
  14. Clemes, S. A., "How many days of pedometer monitoring predict monthly ambulatory activity in adults", Med Sci Sports Exerc, 40(9), pp.1589~1595 (2008)
  15. Cliff, D. P., "Methodological considerations in using accelerometers to assess habitual physical activity in children aged 0-5 years", J Sci Med Sport, 12(5), pp.557~567 (2009)
  16. Coleman, K. J., "Relationships between TriTrac-R3D vectors,heart rate,and self-report in obese children.Med Sci Sports", Med Sci Sports Exerc, 29(11), pp.1535~1542 (1997)
  17. Connolly, C. P., "Accuracy of physical activity monitors in pregnant women", Med Sci Sports Exerc, 43(6), pp.1100~1105 (2011)
  18. Corder, K., "Comparison of two Actigraph models for assessing free-living physical activity in Indian adolescents", J Sports Sci, 25(14), pp.1607~1611 (2007)
  19. Crouter, S. E., "Accuracy of the Actiheart for the assessment of energy expenditure in adults", Eur J Clin Nutr, 62(6), pp.704~711 (2008)
  20. Crouter, S. E., "A novel method for using accelerometer data to predict energy expenditure", J Appl Physiol, 100(4), pp.1324~1331 (2006)
  21. Crouter, S. E., "Refined two-regression model for the ActiGraph accelerometer", Med Sci Sports Exerc, 42(5), pp.1029~1037 (2010)
  22. Cyarto, E. V., "Pedometer accuracy in nursing home and community-dwelling older adults", Med Sci Sports Exerc, 36(2), pp.205~209 (2004)
  23. De Vries, S. I., "Evaluation of neural networks to identify types of activity using accelerometers", Med Sci Sports Exerc, 43(1), pp.101~107 (2011)
  24. Edwards, A. G., "Accuracy of optimized branched algorithms to assess activity-specific physical activity energy expenditure", Med Sci Sports Exerc, 42(4), pp.672~682 (2010)
  25. Eisenmann, J. C., "Validity of uniaxial accelerometry during activities of daily living in children", Eur J Appl Physiol, 91(2-3), pp.259~263 (2004)
  26. Esliger, D. W., "Validity of the Actical accelerometer step-count function", Med Sci Sports Exerc, 39(7), pp.1200~1204 (2007)
  27. Esliger, D. W., "Validation of the GENEA Accelerometer", Med Sci Sports Exerc, 43(6), pp.1085~1093 (2011)
  28. Esliger, D. W., "Technical reliability assessment of three accelerometer models in a mechanical setup", Med Sci Sports Exerc, 38(12), pp.2173~2181 (2006)
  29. Eston, R. G., "Validity of heart rate, pedometry, and accelerometry for predicting the energy cost of children’s activities", J Appl Physiol, 84(1), pp.362~371 (1998)
  30. Evenson, K. R., "Calibration of two objective measures of physical activity for children", J Sports Sci, 26(14), pp.1557~1565 (2008)
  31. Freedson, P. S., "Calibration of the Computer Science and Applications, Inc. accelerometer", Med Sci Sports Exerc, 30(5), pp.777~781 (1998)
  32. Freedson, P. S., "Objective monitoring of physical activity using motion sensors and heart rate", Res Q Exerc Sport, 71(2), pp.21~29 (2000)
  33. Freedson, P. S., "Calibration of accelerometer output for children", Med Sci Sports Exerc, 37(11), pp.523~530 (2005)
  34. Gironda, R. J., "Preliminary evaluation of reliability and criterion validity of Actiwatch- Score", J Rehabil Res Dev, 44(2), pp.223~230 (2007)
  35. Gretebeck, R. J., "Variability of some objective measures of physical activity", Med Sci Sports Exerc, 24(10), pp.1167~1172 (1992)
  36. Harrell, J. S., "Energy costs of physical activities in children and adolescents", Med Sci Sports Exerc, 37(2), pp.329~336 (2005)
  37. Haskell, W. L., "Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association", Circulation, 116(9), pp.1081~1093 (2007)
  38. Hasson, R. E., "Validity of the Omron HJ-112 pedometer during treadmill walking", Med Sci Sports Exerc, 41(4), pp.805~809 (2009)
  39. Heil, D. P, "Predicting activity energy expenditure using the Actical activity monitor", Res Q Exerc Sport, 77(1), pp.64~80 (2006)
  40. Hendelman, D., "Validity of accelerometry for the assessment of moderate intensity physical activity in the field", Med Sci Sports Exerc, 32(9), pp.442~449 (2000)
  41. Howe, C. A., "Energy expenditure and enjoyment of common children’s games in a simulated free-play environment", J Pediatr, 157(6), pp.936~942 (2010)
  42. Janz, K. F., "The stability of children’s physical activity as measured by accelerometry and self-report", Med Sci Sports Exerc, 27(9), pp.1326~1332 (1995)
  43. 강민수, "How Many Days Are Enough? A Study of 365 Days of Pedometer Monitoring", RESEARCH QUARTERLY FOR EXERCISE AND SPORT, 80(3), pp.445~453, AMER ALLIANCE HEALTH PHYS EDUC REC DANCE
  44. 강민수, "Individual Information-Centered Approach for Handling Physical Activity Missing Data", RESEARCH QUARTERLY FOR EXERCISE AND SPORT, 80(2), pp.131~137, AMER ALLIANCE HEALTH PHYS EDUC REC DANCE
  45. Klippel, N. J., "Validation of energy expenditure prediction algorithms in adults using the actical electronic activity monitor", Medicine & Science in Sports & Exercise, 35(5), pp.284~ (2003)
  46. Kozey, S. L., "Comparison of the ActiGraph 7164 and the ActiGraph GT1M during self-paced locomotion", Med Sci Sports Exerc, 42(5), pp.971~976 (2010)
  47. 이미영, "Estimating MET values using the ratio of hr for persons with paraplegia", Medicine and Science in Sports and Exercise, 42(5), pp.985~990, Lippincott Williams & Wilkins Ltd.
  48. Leenders, N. Y., "Ability of different physical activity monitors to detect movement during treadmill walking", Int J Sports Med, 24(1), pp.43~50 (2003)
  49. Levin, S., "Intra-individual variation and estimates of usual physical activity", Ann Epidemiol, 9(8), pp.481~488 (1999)
  50. Lyden, K., "A comprehensive evaluation of commonly used accelerometer energy expenditure and MET prediction equations", Eur J Appl Physiol, 111(2), pp.187~201 (2011)
  51. Matthew, C. E, "Calibration of accelerometer output for adults", Med Sci Sports Exerc, 37(11), pp.512~522 (2005)
  52. Matthews, C. E, "Calibration of accelerometer output for adults", Med Sci Sports Exerc, 37(11), pp.512~522 (2005)
  53. Matthews, C. E., "Amount of time spent in sedentary behaviors in the United States, 2003-2004", Am J Epidemiol, 167(7), pp.875~881 (2008)
  54. McClain, J. J., "Actigraph accelerometer interinstrument reliability during free-living in adults", Med Sci Sports Exerc, 39(9), pp.1509~1514 (2007)
  55. Melanson, E. L., "Commercially available pedometers: considerations for accurate step counting", Prev Med, 39(2), pp.361~368 (2004)
  56. Moeller, N. C., "Unit-specific calibration of Actigraph accelerometers in a mechanical setup - is it worth the effort? The effect on random output variation caused by technical inter-instrument variability in the laboratory and in the field", BMC Med Res Methodol, 8, pp.19~ (2008)
  57. Montoye, H. J., "Measuring physical activity and energy expenditure" (1996), Human Kinetics
  58. Morrow, J. R., Jr, "Measurement And Evaluation In Human Performance" (2005), Champaign Human Kinetics
  59. Murphy, S. L, "Review of physical activity measurement using accelerometers in older adults: considerations for research design and conduct", Prev Med, 48(2), pp.108~114 (2009)
  60. Murray, D. M., "School-level intraclass correlation for physical activity in adolescent girls", Med Sci Sports Exerc, 36(5), pp.876~882 (2004)
  61. Nichols, J. F., "Assessment of physical activity with the Computer Science and Applications, Inc., accelerometer: laboratory versus field validation", Res Q Exerc Sport, 71(1), pp.36~43 (2000)
  62. Nichols, J. F., "Validity, reliability, and calibration of the Tritrac accelerometer as a measure of physical activity", Med Sci Sports Exerc, 31(6), pp.908~912 (1999)
  63. Ott, A. E., "The use of uniaxial and triaxial accelerometers to measure children’s “freeplay” physical activity", Pediatr Exerc Sci, 12, pp.360~370 (2000)
  64. Pomeroy, J., "Between-monitor differences in step counts are related to body size: implications for objective physical activity measurement", PLoS One, 6(4), pp.18942~ (2011)
  65. Powell, S. M., "Intermonitor variability of the RT3 accelerometer during typical physical activities", Med Sci Sports Exerc, 36(2), pp.324~330 (2004)
  66. Puyau, M. R., "Validation and calibration of physical activity monitors in children", Obes Res, 10(3), pp.150~157 (2002)
  67. Rennie, K. L., "Estimating energy expenditure by heart-rate monitoring without individual calibration", Medicine & Science in Sports & Exercise, 33(6), pp.939~945 (2001)
  68. Rothney, M. P., "Comparing the performance of three generations of ActiGraph accelerometers", J Appl Physiol, 105(4), pp.1091~1097 (2008)
  69. Rothney, M. P., "Validity of physical activity intensity predictions by ActiGraph, Actical, and RT3 accelerometers", Obesity (Silver Spring), 16(8), pp.1946~1952 (2008)
  70. Rowlands, A. V., "Validation of the RT3 triaxial accelerometer for the assessment of physical activity.Med Sci Sports", Med Sci Sports Exerc, 36(3), pp.518~524 (2004)
  71. Swartz, A. M., "Estimation of energy expenditure using CSA accelerometers at hip and wrist sites", Med Sci Sports Exerc, 32(9), pp.450~456 (2000)
  72. Temple, V. A., "Pedometer- measured physical activity of adults with intellectual disability: predicting weekly step counts", Am J Intellect Dev Disabil, 114(1), pp.15~22 (2009)
  73. Treuth, M. S., "Defining accelerometer thresholds for activity intensities in adolescent girls", Exerc, 36(7), pp.1259~1266 (2004)
  74. Treuth, M. S., "Validity and reliability of activity measures in African-American girls for GEMS", Med Sci Sports Exerc, 35(3), pp.532~539 (2003)
  75. Troiano, R. P, "Large-scale applications of accelerometers: new frontiers and new questions", Med Sci Sports Exerc, 39(9), pp.1501~ (2007)
  76. Trost, S. G, "Objective measurement of physical activity in youth: current issues, future directions", Exerc Sport Sci Rev, 29(1), pp.32~36 (2001)
  77. Trost, S. G., "Comparison of accelerometer cut points for predicting activity intensity in youth", Med Sci Sports Exerc, 43(7), pp.1360~1368 (2011)
  78. Trost, S. G., "Conducting accelerometer-based activity assessments in field-based research", Med Sci Sports Exerc, 37(11), pp.531~543 (2005)
  79. Trost, S. G., "Predictive validity of three ActiGraph energy expenditure equations for children", Med Sci Sports Exerc, 38(2), pp.380~387 (2006)
  80. Tudor-Locke, C., "Comparison of pedometer and accelerometer measures of free-living physical activity", Med Sci Sports Exerc, 34(12), pp.2045~2051 (2002)
  81. Tudor-Locke, C., "How many days of pedometer monitoring predict weekly physical activity in adults", Prev Med, 40(3), pp.293~298 (2005)
  82. Tudor-Locke, C., "Accelerometer-determined steps per day in US adults", Med Sci Sports Exerc, 41(7), pp.1384~1391 (2009)
  83. Tudor-Locke, C., "Accelerometer-determined steps per day in US children and youth", Med Sci Sports Exerc, 42(12), pp.2244~2250 (2010)
  84. Tudor-Locke, C., "Utility of pedometers for assessing physical activity: convergent validity", Sports Med, 32(12), pp.795~808 (2002)
  85. Tudor-Locke, C., "Utility of pedometers for assessing physical cctivity:Construct validity", Sports Medicine, 34, pp.281~291 (2004), ADIS International Limited.
  86. Tweedy, S. M., "Validity of accelerometry for measurement of activity in people with brain injury", Med Sci Sports Exerc, 37(9), pp.1474~1480 (2005)
  87. Physical activity and health: a report of the Surgeon General, "US Department of Health and Human Services", US Department of Health and Human Services, Public Health Service, CDC, National Center for Chronic Disease Prevention and Health Promotion., ~ (1996)
  88. Wareham, N. J., "Feasibility of heart-rate monitoring to estimate total level and pattern of energy expenditure in a population-based epidemiological study: the Ely Young Cohort Feasibility Study 1994-5", The British Journal of Nutrition, 78(6), pp.889~900 (1997)
  89. Welk, G. J, "Physical activity assessment for health-related research" (2002), Human Kinetics
  90. Welk, G. J, "Principles of design and analyses for the calibration of accelerometry-based activity monitors", Med Sci Sports Exerc, 37(11), pp.501~511 (2005)
  91. Welk, G. J., "Laboratory calibration and validation of the Biotrainer and Actitrac activity monitors", Medicine & Science in Sports & Exercise, 35(6), pp.1057~1064 (2003)
  92. Welk, G. J., "A comparative evaluation of three accelerometry-based physical activity monitors", Med Sci Sports Exerc, 32(9), pp.489~497 (2000)
  93. Welk, G. J., "Reliability of accelerometry-based activity monitors: a generalizability study", Med Sci Sports Exerc, 36(9), pp.1637~1645 (2004)
  94. 박일혁, "Measurement theory and practice in Kinesiology" (2006), Human Kinetics
  95. Yngve, A., "Effect of monitor placement and of activity setting on the MTI accelerometer output", Med Sci Sports Exerc, 35(2), pp.320~326 (2003)
  96. Zhang, K., "Measurement of human daily physical activity", Obes Res, 11(1), pp.33~40 (2003)
  97. Zhu, W, "Invariance of wearing location of Omron-BI pedometers: a validation study", J Phys Act Health, 7(6), pp.706~717 (2010)

관련 논문AI추천

객관적 신체활동 검사도구의 타당도와 신뢰도검증: Actigraph GT3X와 Omron HJ720IT이미영한국체육측정평가학회 · 한국체육측정평가학회지2012 · 제14권 제2호가속도계 기반 신체활동 자료수집 및 처리 방법: 문헌분석 업데이트권선희, 나충현, 신진이, 이미영한국체육측정평가학회 · 한국체육측정평가학회지2024 · 제26권 제1호보행계수기의 착용위치 불변성 연구김진희, 조정환한국체육측정평가학회 · 한국체육측정평가학회지2010 · 제12권 제3호신체활동 측정기반 좌식행동 검사도구의 타당도와 신뢰도 증거 : 체계적 문헌분석이미영한국체육측정평가학회 · 한국체육측정평가학회지2014 · 제16권 제3호어린이 신체활동 강도 추정을 위한 가속도계 기준치의 정확도이미현한국체육측정평가학회 · 한국체육측정평가학회지2014 · 제16권 제2호GT1M과 GT3X가속도계의 신체활동량 추정 타당도 평가김대연, 남덕현, 이미현한국체육측정평가학회 · 한국체육측정평가학회지2012 · 제14권 제2호

이 간행물의 다른 논문 (9건)

Two-way ANOVA 분석절차 및 사후검증방법의 이해엄한주, 정미미pp. 1-15프로골퍼의 성별에 따른 심리상태의 구인동등성 검증 및 잠재평균분석이준우pp. 39-51다국면 Rasch 모형을 적용한 동아무용콩쿠르 현대무용수 심사자의 평정(評定) 분석최윤선pp. 53-62국제에어로빅체조 심판판정의 객관성우동일, 김응준, 김형돈pp. 63-73Cycle ergometer 페달회전율에 따른 임계파워와 유⋅무산소성 능력과의 관련성김성연, 김의영, 조은형pp. 75-84
원문 보기