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Travis Anderson, Amy R. Lane and Anthony C. Hackney

were made to recruit subjects who were performing a wide variety of training loads to allow for a heterogeneous sample. Table 1 Subject Demographics, Mean (SD) Men (n = 8) Women (n = 6) Total (N = 14) Age, y 23.0 (4.9) 23.2 (3.9) 23.1 (4.4) Height, cm 174.7 (6.0) 169.5 (3.5) 172.5 (5.6) Mass, kg 70

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Adrien Bouchet, Thomas W. Doellman, Mike Troilo and Brian R. Walkup

event study method, the authors found that the announcement of the sample’s kit sponsorship deals was associated with negative abnormal stock returns, on average. The negative return result is consistent with prior findings on sport sponsorship (see, e.g.,  Bouchet, Doellman, Troilo, & Walkup, 2015

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Jonathan M. Casper and Jung-Hwan Jeon

and informed written consent information. The survey link was open for 10 days. A total of 798 surveys were completed (32% response rate). Respondents aged 55 years and older were used for this study ( N  = 690). Demographic characteristics of the sample are shown in Table  1 . Table 1 Demographic

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Morgan N. Clennin and Russell R. Pate

primary purpose of this study was to investigate the association between neighborhood SED and cardiorespiratory fitness in a nationally representative sample of US youth. A secondary aim was to determine the extent to which physical activity mediates the hypothesized relationship between neighborhood SED

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Marcin Straczkiewicz, Jacek Urbanek and Jaroslaw Harezlak

Objective monitoring of physical activity relies frequently on movement data captured by the tri-axial, body-worn accelerometers representing accelerations sampled between 10 and 160 observations per second ( John, Sasaki, Staudenmayer, Mavilia, & Freedson, 2013 ). Such raw accelerometry data is

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Dana M. Lis and Keith Baar

synthesis rates would be increased following the consumption of collagen, regardless of whether the collagen was provided as gelatin or HC or as a gummy. Material and Methods Participants, Blood Sampling, and Exercise Intervention Recreationally active males provided written consent to participate in this

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Kun Liang

the 2006 and the 2010 Sample Survey on Aged Population in Urban/Rural China (SSAPUR). The two waves of surveys were conducted by the China Research Center on Aging. In 2006, this center selected 20 divisions out of 31 provincial-level administrative divisions from all regions of China, including north

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Byron Lai, Katie Cederberg, Kerri A. Vanderbom, C. Scott Bickel, James H. Rimmer and Robert W. Motl

evidence and interpret the context for which summative findings can be transferred ( Lavis et al., 2003 ). To accurately project research findings beyond the sample of a given study, researchers require an understanding of the various demographic and clinical characteristics of the participants involved in

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Susan Aguiñaga, Diane K. Ehlers, Elizabeth A. Salerno, Jason Fanning, Robert W. Motl and Edward McAuley

the effects of changes in physical activity with decreases in depression and anxiety across the trial. Because the effects of exercise on depression and anxiety are likely to be attenuated in nonclinical samples, we also conducted exploratory analyses examining whether effects of the intervention were

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Junxin Li, Binbin Yang, Miranda Varrasse, Xiaopeng Ji, MaoChun Wu, Manman Li and Kun Li

understanding on the relationship between physical activity and older adults’ well-being. In this study, both leisure-time exercise and nonexercise activities were examined. The present study aimed to describe physical activity and sleep in a sample of community-dwelling older adults in China and to examine the