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Abstract
The constrained total energy expenditure (TEE) model posits that progressive increases in physical activity (PA) lead to increases in TEE; but after certain PA threshold, TEE plateaus. Then, a compensatory reduction in the expenditure of non-essential activities constrains the TEE. We hypothesized that high PA levels as locomotion associate with a compensatory attenuation in arm movements. We included 209 adults (64% females, mean [SD] age 32.1 [15.0] years) and 105 children (40% females, age 10.0 [1.1] years). Subjects wore, simultaneously, one accelerometer in the non-dominant wrist and another in the hip for ≥ 4 days. We analyzed the association between wrist-measured (arm movements plus locomotion) and hip-measured PA (locomotion). We also analyzed how the capacity to dissociate arm movements from locomotion influences total PA. In adults, the association between wrist-measured and hip-measured PA was better described by a quadratic than a linear model (Quadratic-R2 = 0.54 vs. Linear-R2 = 0.52; P = 0.003). Above the 80th percentile of hip-measured PA, wrist-measured PA plateaued. In children, there was no evidence that a quadratic model fitted the association between wrist-measured and hip-measured PA better than a linear model (R2 = 0.58 in both models, P = 0.25). In adults and children, those with the highest capacity to dissociate arm movements from locomotion—i.e. higher arm movements for a given locomotion—reached the highest total PA. We conclude that, in adults, elevated locomotion associates with a compensatory reduction in arm movements (probably non-essential fidgeting) that partially explains the constrained TEE model. Subjects with the lowest arm compensation reach the highest total PA.
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1 Pontificia Universidad Católica de Chile, Carrera de Nutrición y Dietética, Departamento de Ciencias de la Salud, Facultad de Medicina, Macul, Santiago, Chile (GRID:grid.7870.8) (ISNI:0000 0001 2157 0406)
2 University of Granada, PROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical and Sports Education, Faculty of Sport Sciences, Granada, Spain (GRID:grid.4489.1) (ISNI:0000000121678994)
3 Pontificia Universidad Católica de Chile, Carrera de Nutrición y Dietética, Departamento de Ciencias de la Salud, Facultad de Medicina, Macul, Santiago, Chile (GRID:grid.7870.8) (ISNI:0000 0001 2157 0406); Pontificia Universidad Católica de Chile, Departamento de Nutrición, Diabetes y Metabolismo, Facultad de Medicina, Santiago, Chile (GRID:grid.7870.8) (ISNI:0000 0001 2157 0406)
4 University of Granada, PROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical and Sports Education, Faculty of Sport Sciences, Granada, Spain (GRID:grid.4489.1) (ISNI:0000000121678994); Linköping University, Department of Health, Medicine and Caring Sciences, Linköping, Sweden (GRID:grid.5640.7) (ISNI:0000 0001 2162 9922)
5 University of Granada, PROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical and Sports Education, Faculty of Sport Sciences, Granada, Spain (GRID:grid.4489.1) (ISNI:0000000121678994); University of Granada, Department of Physiology, Faculty of Medicine, Granada, Spain (GRID:grid.4489.1) (ISNI:0000000121678994)
6 Public University of Navarra, Campus de Arrosadía, Institute for Innovation & Sustainable Development in Food Chain (IS-FOOD), IdisNA, Department of Health Sciences, Pamplona, Spain (GRID:grid.410476.0) (ISNI:0000 0001 2174 6440)