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Hayley Guiney, Michael Keall, and Liana Machado

). Thus, there is a need for health promotion initiatives aimed at increasing physical activity levels in that age group. Research on the predictors and correlates of physical activity in older adults can aid the effective design of such initiatives by helping to identify which segments of the older adult

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Mikihiro Sato, Jeremy S. Jordan, and Daniel C. Funk

correlates of the observed change. Participants of a distance-running event were the focus of the study due to its popularity as a population-based organized sport opportunity ( Running USA, 2018 ). Literature Review Psychological Continuum Model The psychological continuum model (PCM: Funk & James, 2001

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Zhiguang Zhang, Madison Predy, Kylie D. Hesketh, Lesley Pritchard, and Valerie Carson

(mean age of approximately 4 mo), only 4% met the overall guidelines. 7 Therefore, it important to promote healthy movement behaviors in infants. Identifying key demographic correlates of movement behaviors can help determine at-risk populations for the purpose of developing targeted intervention

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Dylan O. Blain, Thomas Curran, and Martyn Standage

-time exercise behavior. Physical literacy may be one construct that is positively associated with exercise behavior, because its core components (i.e., physical competence, motivation, confidence and knowledge, and understanding) are considered important correlates or determinants of lifelong physical activity

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Katherine L. Downing, Jo Salmon, Anna Timperio, Trina Hinkley, Dylan P. Cliff, Anthony D. Okely, and Kylie D. Hesketh

reduce children’s screen time, 8 few interventions have targeted children’s sitting, despite success in adult populations. 9 – 11 Understanding influences or correlates of sitting is important as these may differ from the factors that influence screen time, and alternative intervention strategies may

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Jonathan M. Miller, Mark A. Pereira, Julian Wolfson, Melissa N. Laska, Toben F. Nelson, and Dianne Neumark-Sztainer

adolescents often report less MVPA than white adolescents. 3 – 5 Differences in MVPA between the sexes and between ethnicities/races invite the question of whether correlates of MVPA, organized within the social–ecological framework of personal, social, and environmental correlates, 6 also differ

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Silvia A. González, Olga L. Sarmiento, Peter T. Katzmarzyk, Jean-Philippe Chaput, Diana M. Camargo-Lemos, and Mark S. Tremblay

and adolescents for the first time in the country’s history. ENSIN provides rich contextual data and provides a unique opportunity to understand PA levels and correlates in Colombia. Using ENSIN data, this paper aims to describe the prevalence of PA among Colombian children and adolescents (3–17 y

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Stephanie L. Silveira, Jessica F. Baird, and Robert W. Motl

characteristics and levels of moderate-to-vigorous physical activity (MVPA) that interacted with supportive SCT variables (i.e., high social support, high self-efficacy, and low barriers) ( Carlson et al., 2012 ). Another study examined SCT variables embedded within SEM as correlates of physical activity among

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Eugene C. Fitzhugh, Jerry Everett, and Linda Daugherty

comparisons were conducted using t test and chi-square analysis. A series of 2-factor analysis of variance (region X ATS) were utilized to contrast attitudinal scale metrics. Finally, a logistic procedure was utilized to highlight those correlates related to households where parents allowed their children

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Nele Huys, Vicky Van Stappen, Samyah Shadid, Marieke De Craemer, Odysseas Androutsos, Jaana Lindström, Konstantinos Makrilakis, Maria S. de Sabata, Luis Moreno, Pilar De Miguel-Etayo, Violeta Iotova, Imre Rurik, Yannis Manios, Greet Cardon, and on behalf of the Feel4Diabetes-Study Group

interventions may prevent or delay the onset of T2DM. 9 However, to achieve these benefits of intervention, it is necessary to gain insight into the target group’s specific correlates of PA, as this contributes to the understanding of this behavior. It will also help tailoring the PA intervention to the target