related to outdoor play in the childcare setting. 21 However, studies on the correlates of outdoor play in young children have been mainly conducted in home and neighborhood settings. 30 – 32 A recent systematic review examining the correlates of outdoor play in children (aged 3–12 y) has indicated that
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Yeongho Hwang, Madison Boyd, Cody Davenport, and Valerie Carson
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
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
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
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
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
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
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
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
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