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Dave H.H. Van Kann, Sanne I. de Vries, Jasper Schipperijn, Nanne K. de Vries, Maria W.J. Jansen and Stef P.J. Kremers

committed schools showed better results. As regards MVPA, stratified analyses [low (≤ 2) vs high (≥ 3) commitment] showed a positive though nonsignificant effect of the number of PSIs and high project commitment on MVPA at follow-up (std. β = 0.241; P  = .16), but an increased number of PSIs and low

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Pedro Lopez, Mikel Izquierdo, Regis Radaelli, Graciele Sbruzzi, Rafael Grazioli, Ronei Silveira Pinto and Eduardo Lusa Cadore

time, CI, IV, random effect model, and SD . Weight attributed to each study due to its statistical power. CI = confidence interval; IV = inverse variance; Std. = standardized. Regarding methods to prescribe RT intensity, sensitive analyses indicated a significant positive effect estimated on knee

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Rochelle Rocha Costa, Adriana Cristine Koch Buttelli, Alexandra Ferreira Vieira, Leandro Coconcelli, Rafael de Lima Magalhães, Rodrigo Sudatti Delevatti and Luiz Fernando Martins Kruel

confidence interval; Std diff, standardized difference. Subgroup analysis of studies classified as randomized or nonrandomized clinical trials evidenced that this criterion influences the effectiveness of ST for improve TC levels. Randomized trials (40 studies) were associated with significant TC decreases

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Brian M. Wood, Herman Pontzer, Jacob A. Harris, Audax Z.P. Mabulla, Marc T. Hamilton, Theodore W. Zderic, Bret A. Beheim and David A. Raichlen

Table  2 . Table 2 Fixed Effects From a Multilevel Regression Model (M2) of Step Length Fit to the Synchronized GPS and Accelerometry Data Term Estimate Std. Error p -value (Intercept) −0.0353 0.0237 .1537 Height (cm) 0.0003 0.0002 .0512 Walking speed (m/s) 0.5281 0.0097 <.001 Note . In this model, step

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Angela Papadimitriou and Mark Perry

. Figure 2 —Effects of CB interventions on fear of falling (random-effects model with values adjusted for baseline discrepancy in Huang et al., 2011 , 2016 ) at 2- to 5-month follow-up (immediately postintervention). Std. = standardized; SE  = standard error; CI = confidence interval; CB = cognitive and

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Caterina Pesce, Ilaria Masci, Rosalba Marchetti, Giuseppe Vannozzi and Mirko Schmidt

regression analysis performed on summary scores of perceived and actual locomotor skill competence yielded a small, but significant percentage of variance of perceived locomotor competence explained by actual locomotor competence ( R 2  = .06, std ß = .25, t  = 2.43, p  = .02; significance of the model

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Bente M. Raafs, Esther G.A. Karssemeijer, Lizzy Van der Horst, Justine A. Aaronson, Marcel G.M. Olde Rikkert and Roy P.C. Kessels

means >0 favors intervention and <0 favors the control group. Box size represents study weighing. Diamond represents overall effect size and 95% CIs. CI = confidence interval; std diff = standardized difference; QoL = quality of life. Table 3 Mean Weighted Effect Sizes, CI, and Heterogeneity for Primary

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

.3) – – Social domain  Parental concerns about child’s SB 0.1 (−4.7 to 4.8) 16.8 (4.2 to 29.4) – –  Family ST values 2.6 (−0.1 to 5.3) 5.7 (−2.2 to 13.5) −2.0 (−3.3 to −0.7) –  Parental knowledge of health outcomes of ST – – 3.5 (1.3 to 5.7) –  Parental belief child should have <2 h ST/d −15.2 (−47.28 to 16

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Keith R. Lohse, Jincheng Shen and Allan J. Kozlowski

the time-varying covariate of Hours. Within.c as a fixed-effect to explain residual variance in the model. Details of this model are presented in Table  3 . Table 3 Results of the Conditional Mixed-Effects Model Random Effects Groups Name Variance Std. Dev. Corr Subject Intercept 229.5 15.15 Year

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Frances Bevington, Katrina L. Piercy, Kate Olscamp, Sandra W. Hilfiker, Dena G. Fisher and Elizabeth Y. Barnett

.1080/10410236.2011.619252 22292861 10.1080/10410236.2011.619252 7. Noar SM , Crosby R , Benac C , Snow G , Troutman A . Application of the attitude-social influence-efficacy model to condom use among African-American STD clinic patients: implications for tailored health communication . AIDS Behav . 2011 ; 15 ( 5