RESEARCH ARTICLE
Extracting Objective Estimates of Sedentary Behavior from Accelerometer Data: Measurement Considerations for Surveillance and Research Applications Youngdeok Kim1*, Gregory J. Welk2, Saori I. Braun3, Minsoo Kang4 1 Department of Health, Exercise, and Sport Sciences, Texas Tech University, Lubbock, Texas, United States of America, 2 Department of Kinesiology, Iowa State University, Ames, Iowa, United States of America, 3 Department of Kinesiology, University of Wisconsin-Eau Claire, Eau Claire, Wisconsin, United States of America, 4 Department of Health and Human Performance, Middle Tennessee State University, Murfreesboro, Tennessee, United States of America * [email protected]
Abstract OPEN ACCESS Citation: Kim Y, Welk GJ, Braun SI, Kang M (2015) Extracting Objective Estimates of Sedentary Behavior from Accelerometer Data: Measurement Considerations for Surveillance and Research Applications. PLoS ONE 10(2): e0118078. doi:10.1371/journal.pone.0118078 Academic Editor: Dirce Maria Trevisan Zanetta, School of Public Health of University of São Paulo, BRAZIL
Background Accelerometer-based activity monitors are widely used in research and surveillance applications for quantifying sedentary behavior (SB) and physical activity (PA). Considerable research has been done to refine methods for assessing PA, but relatively little attention has been given to operationalizing SB parameters (i.e., sedentary time and breaks) from accelerometer data - particularly in relation to health outcomes. This study investigated: (a) the accrued patterns of sedentary time and breaks; and (b) the associations of sedentary time and breaks in different bout durations with cardiovascular risk factors.
Received: October 2, 2014 Accepted: January 5, 2015 Published: February 6, 2015 Copyright: © 2015 Kim et al. 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 author and source are credited. Data Availability Statement: Data are available from the Center for Disease Control and Prevention database at http://www.cdc.gov/nchs/nhanes.htm. Funding: Funding to pay the Open Access publication charges was provided by the Texas Tech University institutional startup funds to Y.K. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Methods Accelerometer data on 5,917 adults from the National Health Examination and Nutrition Survey (NHANES) 2003–2006 were used. Sedentary time and breaks at different bout durations (i.e., 1, 2–4, 5–9, 10–14, 15–19, 20–24, 25–29, and 30-min) were obtained using a threshold of
Extracting Objective Estimates of Sedentary Behavior from Accelerometer Data: Measurement Considerations for Surveillance and Research Applications Youngdeok Kim1*, Gregory J. Welk2, Saori I. Braun3, Minsoo Kang4 1 Department of Health, Exercise, and Sport Sciences, Texas Tech University, Lubbock, Texas, United States of America, 2 Department of Kinesiology, Iowa State University, Ames, Iowa, United States of America, 3 Department of Kinesiology, University of Wisconsin-Eau Claire, Eau Claire, Wisconsin, United States of America, 4 Department of Health and Human Performance, Middle Tennessee State University, Murfreesboro, Tennessee, United States of America * [email protected]
Abstract OPEN ACCESS Citation: Kim Y, Welk GJ, Braun SI, Kang M (2015) Extracting Objective Estimates of Sedentary Behavior from Accelerometer Data: Measurement Considerations for Surveillance and Research Applications. PLoS ONE 10(2): e0118078. doi:10.1371/journal.pone.0118078 Academic Editor: Dirce Maria Trevisan Zanetta, School of Public Health of University of São Paulo, BRAZIL
Background Accelerometer-based activity monitors are widely used in research and surveillance applications for quantifying sedentary behavior (SB) and physical activity (PA). Considerable research has been done to refine methods for assessing PA, but relatively little attention has been given to operationalizing SB parameters (i.e., sedentary time and breaks) from accelerometer data - particularly in relation to health outcomes. This study investigated: (a) the accrued patterns of sedentary time and breaks; and (b) the associations of sedentary time and breaks in different bout durations with cardiovascular risk factors.
Received: October 2, 2014 Accepted: January 5, 2015 Published: February 6, 2015 Copyright: © 2015 Kim et al. 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 author and source are credited. Data Availability Statement: Data are available from the Center for Disease Control and Prevention database at http://www.cdc.gov/nchs/nhanes.htm. Funding: Funding to pay the Open Access publication charges was provided by the Texas Tech University institutional startup funds to Y.K. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Methods Accelerometer data on 5,917 adults from the National Health Examination and Nutrition Survey (NHANES) 2003–2006 were used. Sedentary time and breaks at different bout durations (i.e., 1, 2–4, 5–9, 10–14, 15–19, 20–24, 25–29, and 30-min) were obtained using a threshold of
