A model for presenting accelerometer paradata in large studies: ISCOLE


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dc.contributor.author Tudor-Locke, Catrine
dc.contributor.author Mire, Emily F
dc.contributor.author Dentro, Kara N
dc.contributor.author Barreira, Tiago V
dc.contributor.author Schuna, John M
dc.contributor.author Zhao, Pei
dc.contributor.author Tremblay, Mark S
dc.contributor.author Standage, Martyn
dc.contributor.author Sarmiento, Olga L
dc.contributor.author Onywera, Vincent
dc.contributor.author Olds, Tim
dc.contributor.author Matsudo, Victor
dc.contributor.author Maia, José
dc.contributor.author Maher, Carol
dc.contributor.author Lambert, Estelle V
dc.contributor.author Kurpad, Anura
dc.contributor.author Kuriyan, Rebecca
dc.contributor.author Hu, Gang
dc.contributor.author Fogelholm, Mikael
dc.contributor.author Chaput, Jean-Philippe
dc.contributor.author Church, Timothy S
dc.contributor.author Katzmarzyk, Peter T
dc.date.accessioned 2015-07-30T03:56:33Z
dc.date.available 2015-07-30T03:56:33Z
dc.date.issued 2015-04-20
dc.identifier.citation Tudor-Locke, C., Mire, E. F., Dentro, K. N., Barreira, T. V., Schuna, J. M., Zhao, P., ... & Katzmarzyk, P. T. (2015). A model for presenting accelerometer paradata in large studies: ISCOLE. International Journal of Behavioral Nutrition and Physical Activity, 12(1), 52.
dc.identifier.uri http://hdl.handle.net/11427/13594
dc.identifier.uri http://dx.doi.org/10.1186/s12966-015-0213-5
dc.description.abstract 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. Trial registration ClinicalTrials.gov: NCT01722500
dc.rights This is an Open Access article distributed under the terms of the Creative Commons Attribution License *
dc.rights.uri http://creativecommons.org/licenses/by/4.0 *
dc.source International Journal of Behavioral Nutrition and Physical Activity en_ZA
dc.source.uri http://www.ijbnpa.org
dc.subject.other Exercise en_ZA
dc.subject.other Motor activity en_ZA
dc.subject.other Methods en_ZA
dc.subject.other Data collection en_ZA
dc.subject.other Evaluation studies en_ZA
dc.title A model for presenting accelerometer paradata in large studies: ISCOLE
dc.type Journal Article en_ZA
dc.date.updated 2015-04-25T18:01:10Z
dc.language.rfc3066 en
dc.rights.holder Tudor-Locke et al.; licensee BioMed Central.
uct.type.publication Research en_ZA
uct.type.resource Article en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Health Sciences en_ZA
dc.publisher.department MRC/UCT RU for Exercise and Sport Medicine en_ZA
uct.type.filetype Text
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This is an Open Access article distributed under the terms of the Creative Commons Attribution License Except where otherwise noted, this item's license is described as This is an Open Access article distributed under the terms of the Creative Commons Attribution License