A model for presenting accelerometer paradata in large studies: ISCOLE

International Journal of Behavioral Nutrition and Physical Activity

Methodology

Victor Matsudo¹  Carol Maher¹  Jean-Philippe Chaput²  Mark S Tremblay²  José Maia³  Vincent Onywera⁴  Peter T Katzmarzyk⁵  Gang Hu⁵  Timothy S Church⁵  Emily F Mire⁵  Kara N Dentro⁵  Catrine Tudor-Locke⁵  John M Schuna⁶  Tiago V Barreira⁷  Olga L Sarmiento⁸  Rebecca Kuriyan⁹  Anura Kurpad⁹  Pei Zhao^1,10  Martyn Standage^1,11  Estelle V Lambert^1,12  Mikael Fogelholm^1,13  Tim Olds^1,14 

[1]Centro de Estudos do Laboratório de Aptidão Física de São Caetano do Sul (CELAFISCS), Sao Paulo, Brazil

[2]Children’s Hospital of Eastern Ontario Research Institute, Ottawa, Canada

[3]Faculdade de Desporto, University of Porto, Porto, Portugal

[4]Kenyatta University, Nairobi, Kenya

[5]Pennington Biomedical Research Center, 6400 Perkins Road, 70808, Baton Rouge, LA, USA

[6]Pennington Biomedical Research Center, 6400 Perkins Road, 70808, Baton Rouge, LA, USA

[7]Oregon State University, Corvallis, USA

[8]Pennington Biomedical Research Center, 6400 Perkins Road, 70808, Baton Rouge, LA, USA

[9]Syracuse University, Syracuse, USA

[10]School of Medicine Universidad de los Andes, Bogota, Colombia

[11]St. Johns Research Institute, Bangalore, India

[12]Tianjin Women’s and Children’s Health Center, Tianjin, China

[13]University of Bath, Bath, UK

[14]University of Cape Town, Cape Town, South Africa

[15]University of Helsinki, Helsinki, Finland

[16]University of South Australia, Adelaide, Australia

关键词: Exercise;    Motor activity;    Methods;    Data collection;    Evaluation studies;   

DOI  :  10.1186/s12966-015-0213-5

 received in 2015-01-20, accepted in 2015-04-16,  发布年份 2015

来源: Springer

【 摘 要 】

BackgroundWe 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.MethodsISCOLE 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).ResultsOf 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).ConclusionsDetailed 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 registrationClinicalTrials.gov: NCT01722500

【 授权许可】

CC BY   
© Tudor-Locke et al.; licensee BioMed Central. 2015