Dataset Information

Feature coding dataset for trained and untrained working memory tasks in randomized controlled trials of working memory training.

ABSTRACT: The data presented in this article are produced as part of the original research article entitled "Working memory training involves learning new skills" (Gathercole, Dunning, Holmes & Norris, in press). This article presents a dataset of coded features for pairs of trained and untrained working memory (WM) tasks from randomized controlled trials of WM training with active control groups. Feature coding is provided for 113 untrained WM tasks each paired with the most similar task in the training program, taken from 23 training studies. A spreadsheet provides summary information for each task pair, its transfer effect size, and coding of the following features for each task: stimulus category, stimulus domain, stimulus modality, response modality, and recall paradigm.

SUBMITTER: Gathercole SE

PROVIDER: S-EPMC6262199 | biostudies-other | 2018 Dec

REPOSITORIES: biostudies-other

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Feature coding dataset for trained and untrained working memory tasks in randomized controlled trials of working memory training.

Gathercole Susan E SE Dunning Darren L DL Holmes Joni J Norris Dennis G DG

Data in brief 20181114

The data presented in this article are produced as part of the original research article entitled "Working memory training involves learning new skills" (Gathercole, Dunning, Holmes & Norris, in press). This article presents a dataset of coded features for pairs of trained and untrained working memory (WM) tasks from randomized controlled trials of WM training with active control groups. Feature coding is provided for 113 untrained WM tasks each paired with the most similar task in the training ...[more]

PMID: 30533463

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Project description:BackgroundThe effect of concurrent training on the development of maximal strength is unclear, especially in individuals with different training statuses.ObjectiveThe aim of this systematic review and meta-analysis study was to compare the effect of concurrent resistance and endurance training with that of resistance training only on the development of maximal dynamic strength in untrained, moderately trained, and trained individuals.MethodsOn the basis of the predetermined criteria, 27 studies that compared effects between concurrent and resistance training only on lower-body 1-repetition maximum (1RM) strength were included. The effect size (ES), calculated as the standardised difference in mean, was extracted from each study, pooled, and analysed with a random-effects model.ResultsThe 1RM for leg press and squat exercises was negatively affected by concurrent training in trained individuals (ES = - 0.35, p < 0.01), but not in moderately trained ( - 0.20, p = 0.08) or untrained individuals (ES = 0.03, p = 0.87) as compared to resistance training only. A subgroup analysis revealed that the negative effect observed in trained individuals occurred only when resistance and endurance training were conducted within the same training session (ES same session = - 0.66, p < 0.01 vs. ES different sessions = - 0.10, p = 0.55).ConclusionThis study demonstrated the novel and quantifiable effects of training status on lower-body strength development and shows that the addition of endurance training to a resistance training programme may have a negative impact on lower-body strength development in trained, but not in moderately trained or untrained individuals. This impairment seems to be more pronounced when training is performed within the same session than in different sessions. Trained individuals should therefore consider separating endurance from resistance training during periods where the development of dynamic maximal strength is prioritised.

Dataset Information

Feature coding dataset for trained and untrained working memory tasks in randomized controlled trials of working memory training.

Publications

Feature coding dataset for trained and untrained working memory tasks in randomized controlled trials of working memory training.

Similar Datasets

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