A Calibration Protocol for Population-Specific Accelerometer Cut-Points in Children

被引:27
|
作者
Mackintosh, Kelly A. [1 ]
Fairclough, Stuart J. [2 ]
Stratton, Gareth [3 ,4 ]
Ridgers, Nicola D. [5 ]
机构
[1] Liverpool John Moores Univ, Fac Educ Community & Leisure, Liverpool L3 5UX, Merseyside, England
[2] Liverpool John Moores Univ, Res Inst Sport & Exercise Sci, Liverpool L3 5UX, Merseyside, England
[3] Swansea Univ, Coll Human & Hlth Sci, Swansea, W Glam, Wales
[4] Univ Western Australia, Sch Sports Sci Exercise & Hlth, Perth, WA 6009, Australia
[5] Deakin Univ, Ctr Phys Act & Nutr Res, Geelong, Vic 3217, Australia
来源
PLOS ONE | 2012年 / 7卷 / 05期
关键词
FITNESS INSTRUCTION TIME; PHYSICAL-ACTIVITY; SOFIT; THRESHOLDS; PRINCIPLES; VALIDATION; SEDENTARY; AGREEMENT; SYSTEM;
D O I
10.1371/journal.pone.0036919
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Purpose: To test a field-based protocol using intermittent activities representative of children's physical activity behaviours, to generate behaviourally valid, population-specific accelerometer cut-points for sedentary behaviour, moderate, and vigorous physical activity. Methods: Twenty-eight children (46% boys) aged 10-11 years wore a hip-mounted uniaxial GT1M ActiGraph and engaged in 6 activities representative of children's play. A validated direct observation protocol was used as the criterion measure of physical activity. Receiver Operating Characteristics (ROC) curve analyses were conducted with four semi-structured activities to determine the accelerometer cut-points. To examine classification differences, cut-points were cross-validated with free-play and DVD viewing activities. Results: Cut-points of <= 372, >2160 and >4806 counts.min(-1) representing sedentary, moderate and vigorous intensity thresholds, respectively, provided the optimal balance between the related needs for sensitivity (accurately detecting activity) and specificity (limiting misclassification of the activity). Cross-validation data demonstrated that these values yielded the best overall kappa scores (0.97; 0.71; 0.62), and a high classification agreement (98.6%; 89.0%; 87.2%), respectively. Specificity values of 96-97% showed that the developed cut-points accurately detected physical activity, and sensitivity values (89-99%) indicated that minutes of activity were seldom incorrectly classified as inactivity. Conclusion: The development of an inexpensive and replicable field-based protocol to generate behaviourally valid and population-specific accelerometer cut-points may improve the classification of physical activity levels in children, which could enhance subsequent intervention and observational studies.
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页数:6
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