Treadmill Calibration of the Actigraph GT1M in Young-to-Middle-Aged Obese-to-Severely Obese Subjects
Author(s) -
Eivind Aadland,
Sigmund A. Anderssen
Publication year - 2012
Publication title -
journal of obesity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.756
H-Index - 53
eISSN - 2090-0716
pISSN - 2090-0708
DOI - 10.1155/2012/318176
Subject(s) - receiver operating characteristic , medicine , accelerometer , population , treadmill , linear regression , calibration , body mass index , algorithm , mathematics , physical therapy , statistics , computer science , environmental health , operating system
Copyright © 2012 Eivind Aadland and Sigmund Alfred Anderssen. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.To understand the impact of physical activity (PA) on health, valid accelerometer count cut points must be applied to measure PA. Because cut points may be population specific, we aimed to establish accelerometer cut points for moderate PA (MPA) and vigorous PA (VPA) (defined as ≥3 and ≥6 metabolic equivalents, resp.) in young-to-middle-aged obese-to-severely obese subjects. Data from 42 subjects (11 men; body mass index ; age years) who performed a treadmill calibration using the Actigraph GT1M, were analyzed using ordinary linear regression (OLR), linear mixed model regression (MIX), and receiver operating characteristics curves (ROC 1; ROC 2). Cut points obtained from the models were quite different (612 to 1646 counts/min for MPA; 3061 to 7220 counts/min for VPA). We argue that the MIX approach, which resulted in cut points of 612 and 4980 counts/min for MPA and VPA, respectively, is the most appropriate method to establish accelerometer cut points in this setting. We conclude that accelerometer cut points are lower in young-to-middle-aged obese-to-severely obese subjects compared to young normal-weight subjects and that care should be taken when analyzing PA level in groups that vary in age and degree of obesity
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