Share This Article:

Validation of Total Daily Energy Expenditure Calculated with Actiheart against Doubly Labeled Water Method in Costa Rican Schoolchildren

Abstract Full-Text HTML XML Download Download as PDF (Size:348KB) PP. 1193-1201
DOI: 10.4236/fns.2015.613125    4,150 Downloads   4,597 Views   Citations

ABSTRACT

The purpose of this study was to use the measurement of the PAEE taken from Actiheart in order to calculate the TEE in Costa Rican schoolchildren, and at the same time, to determine the effectiveness when it is compared against the TEE obtained by the DLW. A total of sixteen male schoolchildren were measured for their total daily energy expenditure (TEE) with the doubly labeled water (DLW) technique. The TEE obtained by the Actiheart monitor was calculated and validated against the DWL. The TEE was obtained adding the physical activity energy expenditure given by the Actiheart, plus the basal metabolic rate, and the energy cost of growth. The Pearson’s product‐moment correlation coefficient and the paired t‐test sample were measured in order to identify the association of the data and to evidence the differences between both measurements of TEE respectively. The Lin’s concordance correlation coefficient and the Bland-Altman plot evaluated the concordance of both methods. The correlation between the TEE obtained by DLW and the one calculated by Actiheart was r = 0.97, P < 0.001. The paired t-test showed no significant differences between both methods. Lin’s concordance correlation coefficient was Cb = 0.99, classified as almost perfect. The study validated the TEE calculated with Actiheart against the TEE measured by the DLW.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Zamora-Salas, J. and Laclé-Murray, A. (2015) Validation of Total Daily Energy Expenditure Calculated with Actiheart against Doubly Labeled Water Method in Costa Rican Schoolchildren. Food and Nutrition Sciences, 6, 1193-1201. doi: 10.4236/fns.2015.613125.

References

[1] Pereira, A.P., Seabra, T.A., Silva, G.R., Katzmarzyk, T.K., Beunen, P.G. and Maia, J.A. (2010) Prevalence of Overweight, Obesity and Physical Activity Levels in Children from Azores Islands. Annals of Human Biology, 37, 682-691.
http://dx.doi.org/10.3109/03014461003639223
[2] Pirinçci, E., Durmus, B., Gündo-Gdu, C. and Açik, Y. (2010) Prevalence and Risk factors of Overweight and Obesity among Urban School Children in Elazing City (Eastern Turkey, 2007). Annals of Human Biology, 37, 44-56.
http://dx.doi.org/10.3109/03014460903218984
[3] Katzmarzyk, P.T., Baur, L.A., Blair, S.N., Lambert, E.V., Oppert, J.M. and Riddoch, C. (2008) Expert Panel Report from the International Conference on Physical Activity and Obesity in Children, 24-27 June 2007, Toronto, Ontario: Summary Statement and Recommendations. Applied Physiology Nutrition and Metabolism, 33, 371-388.
http://dx.doi.org/10.1139/H07-176
[4] Aballay, L.R., Eynard, A.R., Díaz, M.P., Navarro, A. and Muñoz, S.E. (2013) Overweight and Obesity: The Relationship to Metabolic Syndrome, Cardiovascular Disease, and Cancer in South America. Nutrition Reviews, 71, 168-179.
http://dx.doi.org/10.1111/j.1753-4887.2012.00533.x
[5] Ball, K., Cleland, V., Timperio, A., Salmon, J. and Crawford, D. (2009) Socioeconomic Position and Children’s Physical Activity and Sedentary Behaviors: Longitudinal Findings from the CLAN Study. Journal of Physical Activity and Health, 6, 289-298.
[6] Audelin, M.C., Savage, P.D., Toth, M.J., Harvey-Berino, J., Schneider, D.J., Bunn, J.Y., et al. (2011) Change of Energy Expenditure from Physical Activity Is the Most Powerful Determinant of Improved Insulin Sensitivity in Overweight Patients with Coronary Artery Disease Participating in an Intensive Lifestyle Modification Program. Metabolism, 61, 672-679.
http://dx.doi.org/10.1016/j.metabol.2011.10.001
[7] Slinde, F., Grönberg, A.M., Svantesson, U., Hulthén, L. and Larsson, S. (2011) Energy Expenditure in Chronic Obstructive Pulmonary Disease-Evaluation of Simple Measures. European Journal of Clinical Nutrition, 65, 1309-1313.
http://dx.doi.org/10.1038/ejcn.2011.117
[8] Takken, T., Stephens, S., Balemans, A., Tremblay, M., Esliger, D., Schneiderman, J., et al. (2010) Validation of the Actiheart™ Activity Monitor for Measurement of Activity Energy Expenditure in Children and Adolescents with Chronic Disease. European Journal of Clinical Nutrition, 64, 1494-1500.
http://dx.doi.org/10.1038/ejcn.2010.196
[9] Yu, Z., Völgyi, E., Wang, R., et al. (2012) Comparison of Heart Rate Monitoring with Indirect Calorimetry for Energy Expenditure Evaluation. Journal of Sport and Health Science, 1, 178-183.
http://dx.doi.org/10.1016/j.jshs.2012.07.004
[10] Abrams, S.A. and Wong, W.W. (2003) Stable Isotopes in Human Nutrition. Laboratory Methods and Research Applications. CABI Publishing, London.
http://dx.doi.org/10.1079/9780851996769.0000
[11] Bouchard, D.R. and Trudeau, F. (2008) Estimation of Energy Expenditure in a Work Environment: Comparison of Accelerometry and Oxygen Consumption/Heart Rate Regression. Ergonomics, 51, 663-670.
http://dx.doi.org/10.1080/00140130701780484
[12] Hoyt, R.W., Buller, M.J., Santee, W.R., Yokota, M., Weyand, P.G. and Delany, J.P. (2004) Total Energy Expenditure Estimated Using Foot-Ground Contact Pedometry. Diabetes Technology & Therapeutics, 6, 71-81.
http://dx.doi.org/10.1089/152091504322783459
[13] Plasqui, G., Joosen, A.M., Kester, A.D., Goris, A.H. and Westerterp, K.R. (2005) Measuring Free-Living Energy Expenditure and Physical Activity with Triaxial Accelerometry. Obesity Research, 13, 1363-1369.
http://dx.doi.org/10.1038/oby.2005.165
[14] Butte, N.F., Wong, W.W., Adolph, A.L., Puyau, M.R., Vohra, F.A. and Zakeri, I.F. (2010) Validation of Cross-Sectional Time Series and Multivariate Adaptive Regression Splines Models for the Prediction of Energy Expenditure in Children and Adolescents Using Doubly Labeled Water. Journal of Nutrition, 140, 1516-1523.
http://dx.doi.org/10.3945/jn.109.120162
[15] Green, J.A., Halsey, L.G., Wilson, R.P. and Frappell, P.B. (2009) Estimating Energy Expenditure of Animals Using the Accelerometry Technique: Activity, Inactivity and Comparison with the Heart-Rate Technique. The Journal of Experimental Biology, 212, 471-482.
http://dx.doi.org/10.1242/jeb.026377
[16] Zakeri, I.F., Adolph, A.L., Puyau, M.R., Vohra, F.A. and Butte, N.F. (2008) Application of Cross-Sectional Time Series Modeling for the Prediction of Energy Expenditure from Heart Rate and Accelerometry. Journal of Applied Physiology, 104, 1665-1673.
http://dx.doi.org/10.1152/japplphysiol.01163.2007
[17] Brage, S., Brage, N., Franks, P.W., Ekelund, U., Wong, M.Y., Andersen, L.B., Froberg, K. and Wareham, N.J. (2004) Branched Equation Modeling of Simultaneous Accelerometry and Heart Rate Monitoring Improves Estimate of Directly Measured Physical Activity Energy Expenditure. Journal of Applied Physiology, 96, 343-351.
http://dx.doi.org/10.1152/japplphysiol.00703.2003
[18] Assah, F.K., Ekelund, U., Brage, S., Wright, A., Mbanya, J.C. and Wareham, N.J. (2011) Accuracy and Validity of a Combined Heart Rate and Motion Sensor for the Measurement of Free-Living Physical Activity Energy Expenditure in Adults in Cameroon. International Journal of Epidemiology, 40, 112-120.
http://dx.doi.org/10.1093/ije/dyq098
[19] Barreira, T.V., Kang, M., Caputo, J.L., Farley, R.S. and Renfrow, M.S. (2009) Validation of the Actiheart™ Monitor for the Measurement of Physical Activity. International Journal of Exercise Science, 2, 60-71.
[20] Van Remoortel, H., Giavedoni, S., Raste, Y., et al. (2012) Validity of Activity Monitors in Health and Chronic Disease: A Systematic Review. International Journal Behavioral Nutrition and Physical Activity, 9, 84.
http://dx.doi.org/10.1186/1479-5868-9-84
[21] Wilson, H., Dickinson, F., Griffiths, P., Bogin, B. and Varela-Silva, M. (2011) Logistics of Using the Actiheart™ Physical Activity Monitors in Urban Mexico among 7- to 9-Year-Old Children. American Journal of Human Biology, 23, 426-428.
http://dx.doi.org/10.1002/ajhb.21150
[22] Schofield, W.N. (1985) Predicting BMR: New Standard and Review of Previous Work. Human Nutrition Clinical Nutrition, 39, 5-41.
[23] Henry, C.J. and Rees, D.G. (1991) New Predictive Equations for the Estimation of Basal Metabolic Rate in Tropical Peoples. European Journal of Clinical Nutrition, 45, 177-185.
[24] FAO/WHO/UNU (2001) Report of Expert Consultation. Human Energy Requirement, Rome, 1-96.
[25] Lin, L.I. (1989) A Concordance Correlation Coefficient to Evaluate Reproducibility. Biometrics, 45, 255-268.
http://dx.doi.org/10.2307/2532051
[26] Bland, J.M. and Altman, D.G. (1986) Statistical Methods for Assessing Agreement between Two Methods of Clinical Measurement. The Lancet, 1, 307-310.
http://dx.doi.org/10.1016/S0140-6736(86)90837-8
[27] Bratteby, L., Sandhagen, B., Fan, H. and Samuelson, G. (1997) A 7-Day Activity Diary for Assessment of Daily Energy Expenditure Validated by the Doubly Labelled Water Method in Adolescents. European Journal of Clinical Nutrition, 51, 585-591.
http://dx.doi.org/10.1038/sj.ejcn.1600449
[28] Maddison, R., Jiang, Y., Hoorn, S.V., Mhurchu, C.N., Lawes, C.M., Rodgers, A. and Rush, E. (2009) Estimating Energy Expenditure with the RT3 Triaxial Accelerometer. Research Quarterly for Exercise and Sport, 80, 249-256.
http://dx.doi.org/10.1080/02701367.2009.10599559
[29] Kien, C.L. and Ugrasbul, F. (2004) Prediction of Daily Energy Expenditure during a Feeding Trial Using Measurements of Resting Energy Expenditure, Fat-Free Mass, or Harris-Benedict Equations. The American Journal of Clinical Nutrition, 80, 876-880.
[30] Tharion, W.J., Yokota, M., Buller, M.J., DeLany, J.P. and Hoyt, R.W. (2004) Total Energy Expenditure Estimated Using a Foot-Contact Pedometer. Medical Science Monitor, 10, CR504-CR509.
[31] Bonomi, A., Plasqui, G., Goris, A. and Westerterp, K. (2009) Improving Assessment of Daily Energy Expenditure by Identifying Types of Physical Activity with a Single Accelerometer. Journal of Applied Physiology, 107, 655-661.
http://dx.doi.org/10.1152/japplphysiol.00150.2009
[32] Wen, W., Piao, J. and Zhuo, Q. (2010) Energy Requirements of Children and Adolescents. Journal of Hygiene Research, 39, 790-794.
[33] Yu, C.W., Sung, R.Y., So, R., Lam, K., Nelson, E.A., Li, A.M.C., Yuan, Y. and Lam, P.K.W. (2002) Energy Expenditure and Physical Activity of Obese Children: Cross-Sectional Study. Hong Kong Medical Journal, 8, 313-317.
[34] Moore, S.A., Hallsworth, K., Bluck, L., Ford, G.A., Rochester, L. and Trenell, M.I. (2012) Measuring Energy Expenditure after Stroke Validation of a Portable Device. Stroke, 43, 1660-1662.
http://dx.doi.org/10.1161/STROKEAHA.111.646257
[35] Spierer, D.K., Hagins, M., Rundle, A. and Pappas, E. (2011) A Comparison of Energy Expenditure Estimates from the Actiheart™ and Actical Physical Activity Monitors during Low Intensity Activities, Walking, and Jogging. European Journal of Applied Physiology, 111, 659-667.
http://dx.doi.org/10.1007/s00421-010-1672-7
[36] Kain, J., Corvalán, C., Lera, L., Galván, M. and Uauy, R. (2009) Accelerated Growth in Early Life and Obesity in Preschool Children. Obesity, 17, 1603-1608.
http://dx.doi.org/10.1038/oby.2009.37
[37] Ogden, C.L., Carroll, M.D., Curtin, L.R., McDowell, M.A., Tabak, C.J. and Flegal, K.N. (2006) Prevalence of Overweight and Obesity in the United States, 1999-2004. Journal of the American Medical Association, 295, 1549-1555.
http://dx.doi.org/10.1001/jama.295.13.1549
[38] Núñez, H., Monge, R., León, H. and Roselló, M. (2003) Prevalence of Overweight and Obesity among Costa Rican Elementary School Children. Pan American Journal of Public Health, 13, 24-32.

  
comments powered by Disqus

Copyright © 2019 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.