In measuring the discrepancy between two concepts, the discrepancy—or variability—within each concept itself is an important consideration. This is because in any single instance, the discrepancy being measured can be accounted for partially or completely by the variation within each concept. Our res...
A random effects meta-analysis model was used to obtain the pooled estimate of the standardised mean difference (SMD) based on Cohen’s D effect size calculations. Heterogeneity was quantified by I² statistics, which estimate the percentage of variability across studies not due to chance. Evide...
Standardised mean differences (SMD) were calculated to measure the treatment effect along with 95% confidence intervals (Cls). For identifying heterogeneity in our results, we used the Tau-squared, the Q statistic, and I2. To explore sources of heterogeneity, we included moderator analysis involvin...
Regarding injury, very limited evidence indicated that increasing running step rate is associated with improvements in pain (4 weeks: standard mean difference (SMD), 95% CI 2.68, 1.52 to 3.83; 12 weeks: 3.62, 2.24 to 4.99) and function (4 weeks: 2.31, 3.39 to 1.24); 12 weeks:...
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What seems to work and what does not? First, and most importantly, to realize sustainable large-scale implementation of prevention, structural social embedding of prevention is essential. Second, it is important to learn from other fields, in particular public health approaches to reduce smoking ...
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