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A model for presenting accelerometer paradata in large studies: ISCOLE

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 o...

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Autores principales: Tudor-Locke, Catrine, Mire, Emily F, Dentro, Kara N, Barreira, Tiago V, Schuna, John M, Zhao, Pei, Tremblay, Mark S, Standage, Martyn, Sarmiento, Olga L, Onywera, Vincent, Olds, Tim, Matsudo, Victor, Maia, José, Maher, Carol, Lambert, Estelle V, Kurpad, Anura, Kuriyan, Rebecca, Hu, Gang, Fogelholm, Mikael, Chaput, Jean-Philippe, Church, Timothy S, Katzmarzyk, Peter T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4409714/
https://www.ncbi.nlm.nih.gov/pubmed/25927615
http://dx.doi.org/10.1186/s12966-015-0213-5
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author Tudor-Locke, Catrine
Mire, Emily F
Dentro, Kara N
Barreira, Tiago V
Schuna, John M
Zhao, Pei
Tremblay, Mark S
Standage, Martyn
Sarmiento, Olga L
Onywera, Vincent
Olds, Tim
Matsudo, Victor
Maia, José
Maher, Carol
Lambert, Estelle V
Kurpad, Anura
Kuriyan, Rebecca
Hu, Gang
Fogelholm, Mikael
Chaput, Jean-Philippe
Church, Timothy S
Katzmarzyk, Peter T
author_facet Tudor-Locke, Catrine
Mire, Emily F
Dentro, Kara N
Barreira, Tiago V
Schuna, John M
Zhao, Pei
Tremblay, Mark S
Standage, Martyn
Sarmiento, Olga L
Onywera, Vincent
Olds, Tim
Matsudo, Victor
Maia, José
Maher, Carol
Lambert, Estelle V
Kurpad, Anura
Kuriyan, Rebecca
Hu, Gang
Fogelholm, Mikael
Chaput, Jean-Philippe
Church, Timothy S
Katzmarzyk, Peter T
author_sort Tudor-Locke, Catrine
collection PubMed
description 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 ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12966-015-0213-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-44097142015-04-26 A model for presenting accelerometer paradata in large studies: ISCOLE Tudor-Locke, Catrine Mire, Emily F Dentro, Kara N Barreira, Tiago V Schuna, John M Zhao, Pei Tremblay, Mark S Standage, Martyn Sarmiento, Olga L Onywera, Vincent Olds, Tim Matsudo, Victor Maia, José Maher, Carol Lambert, Estelle V Kurpad, Anura Kuriyan, Rebecca Hu, Gang Fogelholm, Mikael Chaput, Jean-Philippe Church, Timothy S Katzmarzyk, Peter T Int J Behav Nutr Phys Act Methodology 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 ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12966-015-0213-5) contains supplementary material, which is available to authorized users. BioMed Central 2015-04-20 /pmc/articles/PMC4409714/ /pubmed/25927615 http://dx.doi.org/10.1186/s12966-015-0213-5 Text en © Tudor-Locke et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Methodology
Tudor-Locke, Catrine
Mire, Emily F
Dentro, Kara N
Barreira, Tiago V
Schuna, John M
Zhao, Pei
Tremblay, Mark S
Standage, Martyn
Sarmiento, Olga L
Onywera, Vincent
Olds, Tim
Matsudo, Victor
Maia, José
Maher, Carol
Lambert, Estelle V
Kurpad, Anura
Kuriyan, Rebecca
Hu, Gang
Fogelholm, Mikael
Chaput, Jean-Philippe
Church, Timothy S
Katzmarzyk, Peter T
A model for presenting accelerometer paradata in large studies: ISCOLE
title A model for presenting accelerometer paradata in large studies: ISCOLE
title_full A model for presenting accelerometer paradata in large studies: ISCOLE
title_fullStr A model for presenting accelerometer paradata in large studies: ISCOLE
title_full_unstemmed A model for presenting accelerometer paradata in large studies: ISCOLE
title_short A model for presenting accelerometer paradata in large studies: ISCOLE
title_sort model for presenting accelerometer paradata in large studies: iscole
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4409714/
https://www.ncbi.nlm.nih.gov/pubmed/25927615
http://dx.doi.org/10.1186/s12966-015-0213-5
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