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Amber Watts, Mauricio Garnier-Villarreal and Paul Gardiner

was to compare patterns of sitting in a free living environment among older adults with and without early stage AD who were similar in physical limitations, body mass, and cardiorespiratory capacity. Our secondary aim was to examine the extent to which a non-postural monitor worn on the hip (Actigraph

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Simone Ciaccioni, Laura Capranica, Roberta Forte, Helmi Chaabene, Caterina Pesce and Giancarlo Condello

dimensions of novice older judo practitioners (i.e., judoka). In particular, the anthropometrical assessment included the measurement of height, body mass, body mass index (BMI), and waist and hip circumferences ( Marfell-Jones, Stewart, & De Ridder, 2012 ). The evaluation of the physical functional

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Ross D. Neville, Fergal Lyons, Brendan Doyle and Kimberley D. Lakes

 al., 2010 ), reduced body mass ( Bryant, Duncan, & Birch, 2014 ), regulation of body composition ( Okely, Booth, & Chey, 2004 ), and weight status ( Duncan & Stanley, 2012 ), and even positive psychological constructs such as confidence and self-efficacy ( McGrane, Belton, Powell, & Issartel, 2017 ). Recent

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Denise M. Jones, Harvi F. Hart, Kay M. Crossley, Ilana N. Ackerman and Joanne L. Kemp

(30 Hz), device position (waist), date of birth, sex, body mass, height, and race of the participant. Self-reported body mass and height data were collected and body mass index was calculated (reported in results). For the Fitbit™ devices participants’ demographic data (sex, date of birth, height, and

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Helen M. Binkley and Lauren E. Rudd

: AE, aquatic exercise group; AEr, aquatic exercise with resistance group; BMD, bone mass density; BMI, body mass index; C, control group; c-BUA T-score, calcaneal broadband ultrasound attenuation—bone mineral content; C serum, cortisol levels; CT, calcitonin; GH, growth hormone; HDL, high

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Megan S. Farris, Kerry S. Courneya, Rachel O’Reilly and Christine M. Friedenreich

with the following inclusion criteria: 50–74 years of age, inactive (≤90 min/wk moderate to vigorous physical activity), no previous cancer diagnosis or major comorbidity, body mass index (BMI) between 22 and 40 kg/m 2 , nonsmokers, nonexcessive alcohol drinkers, nonhormone therapy users, and physician

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Catrine Tudor-Locke, John M. Schuna Jr, Damon L. Swift, Amber T. Dragg, Allison B. Davis, Corby K. Martin, William D. Johnson and Timothy S. Church

). Participants provided written informed consent. The overview of the methods is outlined in the following sections. Participants The goal of this study was to recruit 120 nonexercising (assessed initially via self-report of regular exercise habits over the past 6 mo; yes/no), overweight/obese (body mass index

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Diego Munguia-Izquierdo, Carmen Mayolas-Pi, Carlos Peñarrubia-Lozano, Federico Paris-Garcia, Javier Bueno-Antequera, Miguel Angel Oviedo-Caro and Alejandro Legaz-Arrese

. These factors are associated with the main causes of morbidity and mortality. 24 Additionally, we measured body mass index (BMI) and physical fitness. BMI was calculated based on self-reported values of weight and height. The level of physical activity was established by the short version of the

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Kent Upham, Brandon J. Auer, Christopher N. Sciamanna, Andrew J. Mowen, Joshua M. Smyth, David E. Conroy, Matthew Silvis, Jennifer L. Kraschnewski, Liza S. Rovniak, Erik Lehman, Kalen Kearcher, Maggie Vizzini and Louis Cesarone

probability plots, and box plots. Means of the outcome variables were compared by sport or by age group, by sex, or by body mass index (BMI) group within each sport using a linear mixed effects model that accounted for the correlation between repeated measures on the same subjects with subjects participating

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Oleg Zaslavsky, Yan Su, Eileen Rillamas-Sun, Inthira Roopsawang and Andrea Z. LaCroix

and fatigue varies by body mass index (BMI) and physical performance, and (c) to evaluate whether substituting ST with various levels of PA is associated with reduced levels of fatigue. Methods Participants Participants were from the Objective Physical Activity and Cardiovascular Health (OPACH) study