. Intra-class correlation coefficient (ICC) for this adapted perceived movement skill competence questionnaire was 0.84, indicating a high (>0.8) reliability ( Landis & Koch, 1977 ). Actual FMS Competence Test examiners assessed children’s actual FMS performance using The Test of Gross Motor Development
Cecilia Hoi Sze Chan, Amy Sau Ching Ha and Johan Yau Yin Ng
Lene Levy-Storms, Lin Chen and Anastasia Loukaitou-Sideris
, and results/outcomes in the reviewed articles. We did not undertake any formal assessment of risk of bias because all but one of the 48 studies were descriptive and/or correlational. In other words, the results from this synthesis do not highlight parameter estimates in outcomes, with the exception of
Zachary C. Pope, Nan Zeng, Xianxiong Li, Wenfeng Liu and Zan Gao
were estimating EE. Statistical Analysis Data were analyzed in late 2017 and were first screened for physiological implausible values. Next, Pearson correlation coefficients were calculated to observe the association between smartwatch EE estimates and indirect calorimetry EE measurements at rest and
Craig Donnachie, Kate Hunt, Nanette Mutrie, Jason M.R. Gill and Paul Kelly
heterogeneity regarding the number of PA metrics being reported, limiting comparability between studies ( Silfee et al., 2018 ). Distinct forms of PA measurement can provide confusing or even contradictory findings ( Thompson et al., 2009 ). Numerous studies have shown that correlations between device-based and
Robert Weinberg, Deanna Morrison, Megan Loftin, Thelma Horn, Elizabeth Goodwin, Emily Wright and Carly Block
normality. Univariate correlational analyses were conducted to examine the degree of correlation between all study variables. To determine whether the four experimental groups differed in regard to relevant demographics (e.g., age, year in school, basketball involvement, rating of basketball ability), a one
Matthew Pearce, Tom R.P. Bishop, Stephen Sharp, Kate Westgate, Michelle Venables, Nicholas J. Wareham and Søren Brage
Equation 1 was combined with one of three variations on Bridge Equation 2. In addition, we examine the performance of meta-analyzing multiple indirect routes. If available, we used published bridge equations. If relevant equations were unavailable but correlation coefficients and basic (mean and SD
Christina M. Patch, Caterina G. Roman, Terry L. Conway, Ralph B. Taylor, Kavita A. Gavand, Brian E. Saelens, Marc A. Adams, Kelli L. Cain, Jessa K. Engelberg, Lauren Mayes, Scott C. Roesch and James F. Sallis
measuring objective crime and physical activity 3 found that most studies of adults (6/10) reported no significant correlation between crime-related safety and physical activity. In contrast, 6 of 11 studies of adolescents reported that higher crime rates are correlated with lower physical activity. 3 Sex
Ray M. Merrill
) across the counties. Sex-specific county-level LTPI by the predictor variables were first assessed using simple regression. Associations were then evaluated using univariate and multivariate 2-level organizational models (or mixed models). The intraclass correlation coefficient (ICC) was computed to
K. Fiona Iredale and Myra A. Nimmo
Thirty-three men (age 26–55 years) who did not exercise regularly were exercised to exhaustion using an incremental treadmill protocol. Blood lactate concentration was measured to identify lactate threshold (LT, oxygen consumption at which blood lactate concentration begins to systematically increase). The correlation coefficient for LT (ml · kg−1 · min−1) with age was not significant, but when LT was expressed as a percentage of peak oxygen consumption (VO2 peak), the correlation was r = +.69 (p < .01). This was despite a lack of significant correlation between age and VO2 peak (r = −.33). The correlation between reserve capacity (the difference between VO2 peak and LT) and age was r = −.73 (p < .01 ), and reserve capacity decreased at a rate of 3.1 ml · kg−1 · min−1 per decade. It was concluded that the percentage of VO2 peak at which LT occurs increases progressively with age, with a resultant decrease in reserve capacity.
Corneel Vandelanotte, Ilse De Bourdeaudhuij, Renaat Philippaerts, Michael Sjöström and James Sallis
The purpose of this study was to examine the reliability and validity of a newly developed computerized Dutch version of the International Physical Activity Questionnaire (IPAQ).
Subjects (N = 53) completed the computerized IPAQ at three specified times. Subjects wore a CSA activity monitor during seven full days and simultaneously completed a 7-d physical activity diary. Finally, respondents filled out a paper and pencil IPAQ.
Intraclass correlation coefficient ranged from 0.60 to 0.83. Correlations for “total physical activity” between the computerized IPAQ and the CSA activity counts were moderate (min: r = 0.38; kcal: r = 0.43). Correlations with the physical activity diary were also moderate (min: r = 0.39; kcal: r = 0.46). Correlations between the computerized and the paper and pencil IPAQ were high (min: r = 0.80; kcal: r = 0.84).
The computerized Dutch IPAQ is a reliable and reasonably valid physical activity measurement tool for the general adult population.