Korean Journal of Community Nutrition (대한지역사회영양학회지)

The Korean Society of Community Nutrition (대한지역사회영양학회)
권호 표지
DOI QR코드

DOI QR Code

Measurement of Energy Expenditure Through Treadmill-based Walking and Self-selected Hallway Walking of College Students - Using Indirect Calorimeter and Accelerometer

대학생의 트레드밀 걷기활동과 자율적 걷기활동을 통한 에너지소비량 측정 - 간접열량계와 가속도계를 이용하여 -

  • Kim, Ye-Jin (Department of Food and Nutrition, Gangneung-Wonju National University) ;
  • Wang, Cui-Sang (Department of Food and Nutrition, Gangneung-Wonju National University) ;
  • Kim, Eun-Kyung (Department of Food and Nutrition, Gangneung-Wonju National University)
  • 김예진 (강릉원주대학교 식품영양학과) ;
  • 왕취상 (강릉원주대학교 식품영양학과) ;
  • 김은경 (강릉원주대학교 식품영양학과)
  • Received : 2016.11.29
  • Accepted : 2016.12.19
  • Published : 2016.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

Objectives: The objective of this study was to assess energy expenditure and metabolic cost (METs) of walking activities of college students and to compare treadmill based walking with self-selected hallway walking. Methods: Thirty subjects (mean age $23.4{\pm}1.6years$) completed eight walking activities. Five treadmill walking activities (TW2.4, TW3.2, TW4.0, TW4.8, TW5.6) were followed by three self-selected hallway walking activities, namely, walk as if you were walking and talking with a friend: HWL (leisurely), walk as if you were hurrying across the street at a cross-walk: HWB (brisk) and walk as fast as you can but do not run: HWF (fast) were performed by each subject. Energy expenditure was measured using a portable metabolic system and accelerometers. Results: Except for HWF (fast) activity, energy expenditures of all other walking activities measured were higher in male than in female subjects. The lowest energy expenditure and METs were observed in TW2.4 ($3.65{\pm}0.84kcal/min$ and $2.88{\pm}0.26METs$ in male), HWL (leisurely) ($2.85{\pm}0.70kcal/min$ and $3.20{\pm}0.57METs$ in female), and the highest rates were observed in HWF (fast) ($7.72{\pm}2.81kcal/min$, $5.84{\pm}1.84METs$ in male, $6.65{\pm}1.57kcal/min$, $7.13{\pm}0.68METs$ in female). Regarding the comparison of treadmill-based walking activities and self-selected walking, the energy expenditure of HWL (leisurely) was not significantly different from that of TW2.4. In case of male, no significant difference was observed between energy costs of HWB (brisk), HWF (fast) and TW5.6 activities, whereas in female, energy expenditures during HWB (brisk) and HWF (fast) were significantly different from that of TW5.6. Conclusions: In this study, we observed that energy expenditure from self-selected walking activities of college students was comparable with treadmill-based activities at specific speeds. Our results suggested that a practicing leisurely or brisk walking for a minimum of 150 minutes per week by both male and female college students enable them to meet recommendations from the Physical activity guide for Koreans.

Keywords

References

  1. Jang YH, Kim SH, Kim YS, Jung SH, Park J. The relationship between walking exercise and quality of life for Korean adults. J Digit Policy Manag 2013; 11(5): 325-334.
  2. Qiu S, Cai X, Schumann U, Velders M, Sun Z, Steinacker JM. Impact of walking on glycemic control and other cardiovascular risk factors in type 2 diabetes: a meta-analysis. PLoS One 2014; 9(10): e109767. https://doi.org/10.1371/journal.pone.0109767
  3. Lee KY, Shin W, Ji MJ. Health promotion research and the development of a walking exercise program. J Basic Sci 2014; 31: 93-106.
  4. Barnett A, Cerin E, Vandelanotte C, Matsumoto A, Jenkins D. Validity of treadmill- and track-based individual calibration methods for estimating free-living walking speed and $VO_2$ using the Actigraph accelerometer. BMC Sport Sci Med Rehabil 2015; 7(29): 1-11. https://doi.org/10.1186/2052-1847-7-1
  5. Han SW, Kong SA. The effect of backward walking and foreward walking on physical fitness in treadmill inclination for women. J coach dev 2006; 8(3): 269-276.
  6. Korea Centers for Disease Control and Prevention. Korea Health Statistics 2014: Korea National Health and Nutrition Examination Survey (KNHANES VI-2) [Internet]. Korea Centers for Disease Control and Prevention; 2015 [cited 2016 Dec 12]. Available from: https://knhanes.cdc.go.kr/.
  7. Choi HJ, Song JM, Kim EK. Assessment of daily steps, activity coefficient, body composition, resting energy expenditure and daily energy expenditure in female university students. J Korean Diet Assoc 2005; 11(2): 159-169.
  8. Kim SH. A survey on daily physical activity level, energy expenditure and dietary energy intake by university students in Chungnam province in Korea. J Nutr Health 2013; 46(4): 346-356. https://doi.org/10.4163/jnh.2013.46.4.346
  9. Part YJ, Kim JH. Assessment of physical activity pattern, activity coefficient, basal metabolic rate and daily energy expenditure in female university students. Korean J Community Nutr 2013; 18(1): 45-54. https://doi.org/10.5720/kjcn.2013.18.1.45
  10. You JS, Chin JH, Kim MJ, Chang KJ. College students' dietary behavior, health-related lifestyles and nutrient intake status by physical activity levels using international physical activity questionnaire (IPAQ) in Incheon area. Korean J Nutr 2008; 41(8): 818-831.
  11. Park JY, Kim NH. Relationships between physical activity, health status, and quality of life of university students. J Korean Public Health Nurs 2013; 27(1): 153-165. https://doi.org/10.5932/JKPHN.2013.27.1.153
  12. Kang DW, Choi JS, Mun KR, Tack GR. Estimation of energy expenditure of walking and running based on triaxial accelerometer and physical information. Korean J Sport Biomech 2008; 18(4): 109-114. https://doi.org/10.5103/KJSB.2008.18.4.109
  13. Lee MY. Criterion and convergent validity evidences of an Accelerometer and a Pedometer. Korean J Meas Eval Phys Educ Sport Sci 2012; 14(2): 1-13.
  14. Miller NE, Strath SJ, Swartz AM, Cashin SE. Estimating absolute and relative physical activity intensity across age via accelerometry in adults. J Aging Phys Act 2010; 18(2): 158-170. https://doi.org/10.1123/japa.18.2.158
  15. Lyden K, Kozey SL, Staudenmeyer JW, Freeson PS. A comprehensive evaluation of commonly used accelerometer energy expenditure and MET prediction equations. Eur J Appl Physiol 2011; 111(2):187-201. https://doi.org/10.1007/s00421-010-1639-8
  16. Peterson NE, Sirard JR, Kulbok PA, Deboer MD, Erickson JM. Validation of accelerometer thresholds and inclinometry for measurement of sedentary behavior in young adult university students. Res Nurs Health 2015; 38(6): 492-499. https://doi.org/10.1002/nur.21694
  17. Plotnik M, Azrad T, Bondi M, Bahat Y, Gimmon Y, Zeiling G et al. Self-selected gait speed-over ground versus self-paced treadmill walking, a solution for a paradox. J Neuroeng Rehabil 2015; 12(1): 1-20. https://doi.org/10.1186/1743-0003-12-1
  18. Hall KS, Howe CA, Rana SR, Martin CL, Morey MC. METs and accelerometry of walking in older adults: standard versus measured energy cost. Med Sci Sport Exerc 2013; 45(3): 574-582. https://doi.org/10.1249/MSS.0b013e318276c73c
  19. Schrack JA, Simonsick EM, Ferrucci L. Comparison of the Cosmed K4b2 portable metabolic system in measuring steadystate walking energy expenditure. PLoS One 2010; 5(2): e9292. https://doi.org/10.1371/journal.pone.0009292
  20. Vanhelst J, Mikulovic J, Bui-Xuan G, Dieu O, Blondeau T, Fardy P et al. Comparison of two actigraph accelerometer generations in the assessment of physical activity in free living conditions. BMC Res Notes 2012; 5(1): 187. https://doi.org/10.1186/1756-0500-5-187
  21. Actigraph Support Center. What is VM (Vector Magnitude)? [Internet]. Actigraph Support Center; 2016 [cited 2016 Nov 28]. Available from: http://actigraphcorp.com.
  22. Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM, Strath SJ et al. Compendium of physical activities : an update of activity codes and MET intensities. Med Sci Sport Exerc 2000; 32(9): S498-S504. https://doi.org/10.1097/00005768-200009001-00009
  23. Ministry of Health and Welfare. The physical activity guide for Koreans. Ministry of Health and Welfare; 2013.
  24. Kang IW, Cho WJ. The influence on mental health status and health-related quality of life in middle-aged women by the regular walking exercise. J Korea Soc Wellness 2016; 11(1): 207-215. https://doi.org/10.21097/ksw.2016.02.11.1.207
  25. Choi YY. Choi SB, Kim SG. The relationship between physical self-concept and subjective happiness according to walking exercise participation type. Korean J Sports Med 2011; 9(2): 1-12.
  26. Jeon JS. Walking efficiency by obesity. Proceedings of The 8th Korea Walking Festival Seminar; 2002 Oct 25; 94-107.
  27. Lee MH, Kim DY, Nam DH. Validation of the GT1M and GT3X Accelerometers for assessment of physical activity. Korean J Meas Eval Phys Educ Sport Sci 2012; 14(2): 61-71.
  28. Webb P. Energy expenditure and fat-free mass in men and women. Am J Clin Nutr 1981; 34(9): 1816-1826. https://doi.org/10.1093/ajcn/34.9.1816
  29. An JH. The model for the walking and running program for the health of the aged. J Korean Phys Soc 1996; 35(3): 299-308.
  30. Hunnicutt JL, Aaron SE, Embry AE, Cence B, Morgan P, Bowden MG et al. The effects of power training in young and older adults after stroke. Stroke Res Treat 2016; doi: 10.1155/2016/7316250.
  31. Bayle N, Patel AS, Crisan D, Guo LJ, Hutin E, Weisz DJ et al. Contribution of step length to increase walking and turning speed as a marker of Parkinson's disease progression. PLoS One 2016; 11(4): e0152469. https://doi.org/10.1371/journal.pone.0152469
  32. Seale JL, Rumpler WV. Synchronous direct gradient layer and indirect room calorimetry. J Appl Physiol 1997; 83(5): 1775-1781. https://doi.org/10.1152/jappl.1997.83.5.1775
  33. Jeong SM, Kim TH, Park CH, Kim HG, Jekal YS. Review and introduction of physical activity assesment actigraph. J Exerc Sport Sci 2013; 19: 31-41.
  34. Freedson PS, Melanson E, Sirard J. Calibration of the computer science and applications, Inc. accelerometer. Med Sci Sports Exerc 1998; 30(5): 777-781. https://doi.org/10.1097/00005768-199805000-00021
  35. World Health Organization. Global Strategy on Diet, Physical Activity and Health [Internet]. World Health Organization; 2016 [cited 2016 Dec 12]. Available from: http://www.who.int/dietphysicalactivity/factsheet_adults/en/.
  36. Park DH, Kim CS, Kim KJ. Consideration about physical activity guideline and exercise intensity for adult. Exerc Sci 2015; 24(2): 100-107.
  37. Lee MY, Choi JY. Accuracy of wearable devices to estimate physical activity levels. Korean J Meas Eval Phys Educ Sport Sci 2015; 17(2): 49-60.

Cited by

  1. 초등학교 운동선수를 대상으로 대표 신체활동의 에너지 소비량 및 활동 강도 추정을 위한 가속도계의 정확도 검증 vol.22, pp.5, 2016, https://doi.org/10.5720/kjcn.2017.22.5.413
  2. 성인의 13가지 신체활동의 에너지 소비량 및 가속도계 정확성의 남녀비교 vol.50, pp.6, 2017, https://doi.org/10.4163/jnh.2017.50.6.552