Please use this identifier to cite or link to this item:
Title: A model for presenting accelerometer paradata in large studies: ISCOLE
Authors: Tudor-Locke, C.
Mire, E. F.
Dentro, K. N.
Barreira, T. V.
Schuna, J. M.
Zhao, P.
Tremblay, M. S.
Standage, M.
Sarmiento, O. L.
Onywera, V.
Olds, T.
Pennington, G.
Ragus, D.
Roubion, R.
Schuna, J.
Wiltz, D.
Batterham, A.
Kerr, J.
Maher, C.
Pratt, M.
Pietrobelli, A.
Lewis, L.
Lambert, E. V.
Kurpad, A.
Kuriyan, R.
Hu, G.
Fogelholm, M.
Chaput, J-P.
Church, T. S.
Katzmarzyk, P. T.
Broyles, S.
Butitta, B.
Ferrar, K.
Champagne, C.
Cocreham, S.
Drazba, K.
Harrington, Deirdre
Johnson, W.
Milauskas, D.
Tohme, A.
Rodarte, R.
Amoroso, B.
Luopa, J.
Georgiadis, E.
Neiberg, R.
Rushing, S.
Stanley, R.
Matsudo, V. K. R.
Matsudo, S.
Araujo, T.
de Oliveira, L. C.
Rezende, L.
Fabiano, L.
Diaz, M. P.
Bezerra, D.
Ferrari, G.
Bélanger, P.
Borghese, M.
Boyer, C.
LeBlanc, A.
Francis, C.
Leduc, G.
Diao, C.
Li, W.
Gamez, R.
Liu, E.
Liu, G.
Liu, H.
Ma, J.
Qiao, Y.
Tian, H.
Wang, Y.
Zhang, T.
Zhang, F.
Sarmiento, O.
Garcia, M. P.
Acosta, J.
Alvira, Y.
Gómez, L. G.
Gonzalez, L.
Gonzalez, S.
Grijalba, C.
Gutierrez, L.
Leal, D.
Lemus, N.
de Chaves, R. N.
Mahecha, E.
Mahecha, M. P.
Mahecha, R.
Ramirez, A.
Rios, P.
Suarez, A.
Triana, C.
Hovi, E.
Kivelä, J.
Räsänen, S.
Gomes, T. N. Q. F.
Roito, S.
Saloheimo, T.
Valta, L.
Lokesh, D. P.
D'Almeida, M. S.
Annie Mattilda, R.
Correa, L.
Vijay, D.
Wachira, L-J.
Muthuri, S.
Pereira, S. I. S.
da Silva Borges, A.
Sá Cachada, S. O.
de Vilhena e Santos, D. M.
dos Santos, F. K.
da Silva, P. G. R.
de Souza, M .C.
Lambert, V.
April, M.
Uys, M.
Matsudo, V.
Naidoo, N.
Synyanya, N.
Carstens, M.
Cumming, S.
Drenowatz, C.
Emm, L.
Gillison, F.
Zakrzewski, J.
Braud, A.
Donatto, S.
Maia, J.
Lemon, C.
Jackson, A.
Pearson, A.
First Published: 20-Apr-2015
Publisher: BioMed Central Ltd
Citation: International Journal of Behavioral Nutrition and Physical Activity, 2015, 12 (1)
Abstract: Background: We present a model for reporting accelerometer paradata (process-related data produced from survey administration) collected in the International Study of Childhood Obesity Lifestyle and the Environment (ISCOLE), a multi-national investigation of >7000 children (averaging 10.5 years of age) sampled from 12 different developed and developing countries and five continents. Methods: ISCOLE employed a 24-hr waist worn 7-day protocol using the ActiGraph GT3X+. Checklists, flow charts, and systematic data queries documented accelerometer paradata from enrollment to data collection and treatment. Paradata included counts of consented and eligible participants, accelerometers distributed for initial and additional monitoring (site specific decisions in the face of initial monitoring failure), inadequate data (e.g., lost/malfunction, insufficient wear time), and averages for waking wear time, valid days of data, participants with valid data (>4 valid days of data, including 1 weekend day), and minutes with implausibly high values (>20,000 activity counts/min). Results: Of 7806 consented participants, 7372 were deemed eligible to participate, 7314 accelerometers were distributed for initial monitoring and another 106 for additional monitoring. 414 accelerometer data files were inadequate (primarily due to insufficient wear time). Only 29 accelerometers were lost during the implementation of ISCOLE worldwide. The final locked data file consisted of 6553 participant files (90.0% relative to number of participants who completed monitoring) with valid waking wear time, averaging 6.5 valid days and 888.4 minutes/day (14.8 hours). We documented 4762 minutes with implausibly high activity count values from 695 unique participants (9.4% of eligible participants and <0.01% of all minutes). Conclusions: Detailed accelerometer paradata is useful for standardizing communication, facilitating study management, improving the representative qualities of surveys, tracking study endpoint attainment, comparing studies, and ultimately anticipating and controlling costs.
DOI Link: 10.1186/s12966-015-0213-5
eISSN: 1479-5868
Version: Publisher Version
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © 2015 Tudor-Locke et al.; licensee BioMed Central. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.
Appears in Collections:Published Articles, College of Medicine, Biological Sciences and Psychology

Files in This Item:
File Description SizeFormat 
s12966-015-0213-5.pdfPublisher Version537.75 kBAdobe PDFView/Open

Items in LRA are protected by copyright, with all rights reserved, unless otherwise indicated.