PainSci summary of Arruda 2016?This page is one of thousands in the PainScience.com bibliography. It is not a general article: it is focused on a single scientific paper, and it may provide only just enough context for the summary to make sense. Links to other papers and more general information are provided at the bottom of the page, as often as possible. ★★★☆☆?3-star ratings are for typical studies with no more (or less) than the usual common problems. Ratings are a highly subjective opinion, and subject to revision at any time. If you think this paper has been incorrectly rated, please let me know.
This short paper is a criticism of Schoenfeld et al, basically making the case that it has the data just wasn't homogenous enough for a good quality meta-analysis (a good apples to apples comparison). They raised specific concerns about a mixture of data about upper and lower body training, unknown variations in intensity, and the overlapping effects of different exercises. They think the study was “premature” and its results should be viewed “with caution.” Their conclusion is worth quoting in full:
In conclusion, considering the large number of variables involved in resistance training and the methodological inconsistencies in the current literature, it seems impossible to make comparisons of different studies or include different studies in the same analysis. For a meta-analysis to be valid, a large amount of data on homogeneous subgroups should accumulate for topics where there is strong consensus about which variables have theoretical importance, and this does not seem to be the case for resistance training studies. Because of this, the generalisation of meta-analyses should be viewed with caution until we have a large number of studies providing adequate control of variables. Rather than prematurely perform meta-analyses on differing resistance training variables, which are all hindered by the inherent limitations of meta-analyses (Shapiro, 1994) including low study numbers and study heterogeneity (Field, 2015), and serve only to reduce the complexity of resistance training variables to a single statistic, greater value can be obtained by designing and conducting studies of larger and homogenous samples that can adequately address the topics considered. Otherwise, we can be comparing oranges with apples or, worse, we can be assuming that oranges and apples are the same.
Arruda 2016 is about:
- PS Strength Training Frequency — Less is more than enough: go to the gym less frequently but still gain strength fast enough for anyone but a bodybuilder
This page is part of the PainScience BIBLIOGRAPHY, which contains plain language summaries of thousands of scientific papers & others sources. It’s like a highly specialized blog. A few highlights:
- A Bayesian model-averaged meta-analysis of the power pose effect with informed and default priors: the case of felt power. Gronau 2017 Comprehensive Results in Social Psychology.
- The neck and headaches. Bogduk 2014 Neurol Clin.
- Agreement of self-reported items and clinically assessed nerve root involvement (or sciatica) in a primary care setting. Konstantinou 2012 Eur Spine J.
- Effect of NSAIDs on Recovery From Acute Skeletal Muscle Injury: A Systematic Review and Meta-analysis. Morelli 2017 Am J Sports Med.
- Association of Spinal Manipulative Therapy With Clinical Benefit and Harm for Acute Low Back Pain: Systematic Review and Meta-analysis. Paige 2017 JAMA.