Validity of accelerometry for the assessment of moderate intensity physical activity in the field - PubMed (original) (raw)
Validity of accelerometry for the assessment of moderate intensity physical activity in the field
D Hendelman et al. Med Sci Sports Exerc. 2000 Sep.
Abstract
Purpose: This study was undertaken to examine the validity of accelerometry in assessing moderate intensity physical activity in the field and to evaluate the metabolic cost of various recreational and household activities.
Methods: Twenty-five subjects completed four bouts of overground walking at a range of self-selected speeds, played two holes of golf, and performed indoor (window washing, dusting, vacuuming) and outdoor (lawn mowing, planting shrubs) household tasks. Energy expenditure was measured using a portable metabolic system, and motion was recorded using a Yamax Digiwalker pedometer (walking only), a Computer Science and Application, Inc. (CSA) accelerometer, and a Tritrac accelerometer. Correlations between accelerometer counts and energy cost were examined. In addition, individual equations to predict METs from counts were developed from the walking data and applied to the other activities to compare the relationships between counts and energy cost.
Results: Observed MET levels differed from values reported in the Compendium of Physical Activities, although all activities fell in the moderate intensity range. Relationships between counts and METs were stronger for walking (CSA, r = 0.77; Tritrac, r = 0.89) than for all activities combined (CSA, r = 0.59; Tritrac, r = 0.62). Metabolic costs of golf and the household activities were underestimated by 30-60% based on the equations derived from level walking.
Conclusion: The count versus METs relationship for accelerometry was found to be dependent on the type of activity performed, which may be due to the inability of accelerometers to detect increased energy cost from upper body movement, load carriage, or changes in surface or terrain. This may introduce error in attempts to use accelerometry to assess point estimates of physical activity energy expenditure in free-living situations.
Similar articles
- Validity of four motion sensors in measuring moderate intensity physical activity.
Bassett DR Jr, Ainsworth BE, Swartz AM, Strath SJ, O'Brien WL, King GA. Bassett DR Jr, et al. Med Sci Sports Exerc. 2000 Sep;32(9 Suppl):S471-80. doi: 10.1097/00005768-200009001-00006. Med Sci Sports Exerc. 2000. PMID: 10993417 - Self-selected exercise intensity during household/garden activities and walking in 55 to 65-year-old females.
Withers RT, Brooks AG, Gunn SM, Plummer JL, Gore CJ, Cormack J. Withers RT, et al. Eur J Appl Physiol. 2006 Jul;97(4):494-504. doi: 10.1007/s00421-006-0177-x. Epub 2006 Jun 10. Eur J Appl Physiol. 2006. PMID: 16767444 - The energy cost of household and garden activities in 55- to 65-year-old males.
Gunn SM, Brooks AG, Withers RT, Gore CJ, Plummer JL, Cormack J. Gunn SM, et al. Eur J Appl Physiol. 2005 Jul;94(4):476-86. doi: 10.1007/s00421-004-1302-3. Epub 2005 Apr 7. Eur J Appl Physiol. 2005. PMID: 15815941 - Utility of pedometers for assessing physical activity: convergent validity.
Tudor-Locke C, Williams JE, Reis JP, Pluto D. Tudor-Locke C, et al. Sports Med. 2002;32(12):795-808. doi: 10.2165/00007256-200232120-00004. Sports Med. 2002. PMID: 12238942 Review. - Prediction of activity-related energy expenditure using accelerometer-derived physical activity under free-living conditions: a systematic review.
Jeran S, Steinbrecher A, Pischon T. Jeran S, et al. Int J Obes (Lond). 2016 Aug;40(8):1187-97. doi: 10.1038/ijo.2016.14. Epub 2016 Feb 2. Int J Obes (Lond). 2016. PMID: 27163747 Review.
Cited by
- Differences of energy intake and energy expenditure of elite Taekwondo players receiving summer vs. winter intensive training.
Cho KO. Cho KO. J Exerc Nutrition Biochem. 2014 Jun;18(2):169-74. doi: 10.5717/jenb.2014.18.2.169. Epub 2014 May 21. J Exerc Nutrition Biochem. 2014. PMID: 25566452 Free PMC article. - Criterion validity of ActiGraph monitoring devices for step counting and distance measurement in adults and older adults: a systematic review.
Ngueleu AM, Barthod C, Best KL, Routhier F, Otis M, Batcho CS. Ngueleu AM, et al. J Neuroeng Rehabil. 2022 Oct 17;19(1):112. doi: 10.1186/s12984-022-01085-5. J Neuroeng Rehabil. 2022. PMID: 36253787 Free PMC article. Review. - BAILA: A Randomized Controlled Trial of Latin Dancing to Increase Physical Activity in Spanish-Speaking Older Latinos.
Marquez DX, Wilbur J, Hughes S, Wilson R, Buchner DM, Berbaum ML, McAuley E, Aguiñaga S, Balbim GM, Vásquez PM, Marques IG, Wang T, Kaushal N. Marquez DX, et al. Ann Behav Med. 2022 Nov 18;56(12):1231-1243. doi: 10.1093/abm/kaac009. Ann Behav Med. 2022. PMID: 35445687 Free PMC article. Clinical Trial. - Wearable monitors criterion validity for energy expenditure in sedentary and light activities.
Florez-Pregonero A, Meckes N, Buman M, Ainsworth BE. Florez-Pregonero A, et al. J Sport Health Sci. 2017 Mar;6(1):103-110. doi: 10.1016/j.jshs.2016.10.005. Epub 2016 Oct 21. J Sport Health Sci. 2017. PMID: 30356569 Free PMC article. - Utility of pedometers for assessing physical activity: construct validity.
Tudor-Locke C, Williams JE, Reis JP, Pluto D. Tudor-Locke C, et al. Sports Med. 2004;34(5):281-91. doi: 10.2165/00007256-200434050-00001. Sports Med. 2004. PMID: 15107007 Review.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
Miscellaneous