A model for presenting accelerometer paradata in large studies: ISCOLE

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dc.contributor.authorTudor-Locke, Catrine
dc.contributor.authorMire, Emily F
dc.contributor.authorDentro, Kara N
dc.contributor.authorBarreira, Tiago V
dc.contributor.authorSchuna, John M
dc.contributor.authorZhao, Pei
dc.contributor.authorTremblay, Mark S
dc.contributor.authorStandage, Martyn
dc.contributor.authorSarmiento, Olga L
dc.contributor.authorOnywera, Vincent
dc.contributor.authorOlds, Tim
dc.contributor.authorMatsudo, Victor
dc.contributor.authorMaia, José
dc.contributor.authorMaher, Carol
dc.contributor.authorLambert, Estelle V
dc.contributor.authorKurpad, Anura
dc.contributor.authorKuriyan, Rebecca
dc.contributor.authorHu, Gang
dc.contributor.authorFogelholm, Mikael
dc.contributor.authorChaput, Jean-Philippe
dc.contributor.authorChurch, Timothy S
dc.contributor.authorKatzmarzyk, Peter T
dc.date.accessioned2015-07-30T03:56:33Z
dc.date.available2015-07-30T03:56:33Z
dc.date.issued2015-04-20
dc.date.updated2015-04-25T18:01:10Z
dc.description.abstractAbstract 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.identifier.apacitationTudor-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. <i>International Journal of Behavioral Nutrition and Physical Activity</i>, http://hdl.handle.net/11427/13594en_ZA
dc.identifier.chicagocitationTudor-Locke, Catrine, Emily F Mire, Kara N Dentro, Tiago V Barreira, John M Schuna, Pei Zhao, Mark S Tremblay, et al "A model for presenting accelerometer paradata in large studies: ISCOLE." <i>International Journal of Behavioral Nutrition and Physical Activity</i> (2015) http://hdl.handle.net/11427/13594en_ZA
dc.identifier.citationTudor-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.ris TY - Journal Article AU - Tudor-Locke, Catrine AU - Mire, Emily F AU - Dentro, Kara N AU - Barreira, Tiago V AU - Schuna, John M AU - Zhao, Pei AU - Tremblay, Mark S AU - Standage, Martyn AU - Sarmiento, Olga L AU - Onywera, Vincent AU - Olds, Tim AU - Matsudo, Victor AU - Maia, José AU - Maher, Carol AU - Lambert, Estelle V AU - Kurpad, Anura AU - Kuriyan, Rebecca AU - Hu, Gang AU - Fogelholm, Mikael AU - Chaput, Jean-Philippe AU - Church, Timothy S AU - Katzmarzyk, Peter T AB - 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 DA - 2015-04-20 DB - OpenUCT DO - 10.1186/s12966-015-0213-5 DP - University of Cape Town J1 - International Journal of Behavioral Nutrition and Physical Activity LK - https://open.uct.ac.za PB - University of Cape Town PY - 2015 T1 - A model for presenting accelerometer paradata in large studies: ISCOLE TI - A model for presenting accelerometer paradata in large studies: ISCOLE UR - http://hdl.handle.net/11427/13594 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/13594
dc.identifier.urihttp://dx.doi.org/10.1186/s12966-015-0213-5
dc.identifier.vancouvercitationTudor-Locke C, Mire EF, Dentro KN, Barreira TV, Schuna JM, Zhao P, et al. A model for presenting accelerometer paradata in large studies: ISCOLE. International Journal of Behavioral Nutrition and Physical Activity. 2015; http://hdl.handle.net/11427/13594.en_ZA
dc.language.rfc3066en
dc.publisher.departmentMRC/UCT RU for Exercise and Sport Medicineen_ZA
dc.publisher.facultyFaculty of Health Sciencesen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.rightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License*
dc.rights.holderTudor-Locke et al.; licensee BioMed Central.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0*
dc.sourceInternational Journal of Behavioral Nutrition and Physical Activityen_ZA
dc.source.urihttp://www.ijbnpa.org
dc.subject.otherExerciseen_ZA
dc.subject.otherMotor activityen_ZA
dc.subject.otherMethodsen_ZA
dc.subject.otherData collectionen_ZA
dc.subject.otherEvaluation studiesen_ZA
dc.titleA model for presenting accelerometer paradata in large studies: ISCOLE
dc.typeJournal Articleen_ZA
uct.type.filetype
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceArticleen_ZA
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