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Choice of Activity-Intensity Classification Thresholds Impacts upon Accelerometer-Assessed Physical Activity-Health Relationships in Children
Authors:Daniel P Bailey  Lynne M Boddy  Louise A Savory  Sarah J Denton  Catherine J Kerr
Institution:1. Institute for Sport and Physical Activity Research (ISPAR), University of Bedfordshire, Bedford, Bedfordshire, United Kingdom.; 2. The Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, United Kingdom.; University of Bath, United Kingdom,
Abstract:

Background

It is unknown whether using different published thresholds (PTs) for classifying physical activity (PA) impacts upon activity-health relationships. This study explored whether relationships between PA (sedentary SED], light PA LPA], moderate PA MPA], moderate-to-vigorous PA, vigorous PA VPA]) and health markers differed in children when classified using three different PTs.

Methods

104 children (63 girls) aged 10–14 years wore an RT3 triaxial accelerometer for seven days and measures of adiposity and cardiometabolic risk markers were taken.

Results

Significant associations (p< .05) in boys were found between LPA and body mass index z-score and waist circumference z-score for the Rowlands et al PT only (β =  .459 and.401, respectively) and body fat% (BF%) for the Chu et al PT only (β = .322) and in girls with BF% for the Rowlands et al PT only (β =  .303) and systolic BP and blood glucose for the Vanhelst et al PT only (β = −.298 and −.283, respectively). MPA was significantly (p<.05) associated with BF%, diastolic BP, and cardiorespiratory fitness (CRF) for the Chu et al PT only in girls (β = −.436, −.529, and .446, respectively). SED was significantly (p<.05) associated with triglycerides (β = .492) for the Rowlands et al PT only in boys and VPA with CRF (p<.05) for the Rowlands et al and Vanhelst et al PTs only in girls (β = .416 and .352, respectively).

Conclusions

The choice of PT impacted upon activity-health relationships. A consensus on appropriate accelerometer thresholds for quantifying PA intensity and sedentary behaviour is needed in order to make accurate evidence-based recommendations for health promotion.
Keywords:
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