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      The influence of mindfulness-based interventions on the academic performance of students measured by their GPA. A systematic review and meta-analysis

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          Abstract

          Objective: Mindfulness-based interventions are increasingly used in health, economic and educational systems. There are numerous studies demonstrating the effectiveness of mindfulness-based interventions in the educational sectors (primary, secondary, and tertiary). This systematic review and meta-analysis assessed the current state of research on the effectiveness of mindfulness-based interventions on the academic performance of students as measured by their grade point average (GPA).

          Methods: Literature search was conducted in Psychology and Behavioral Sciences Collection, PsycARTICLES, PubMed, and Google Scholar through March 2022. The inclusion criteria were: (1) the use of GPA as a measure of students’ academic performance, (2) a sample that was subjected to a mindfulness-based intervention without medical indication, (3) the student status of the subjects. Meta-analysis was conducted using a random effects model with the generic inverse variance method.

          Results: The search included a total of 759 studies, of which six randomized controlled trials met the inclusion criteria. In these trials, significant group differences for GPA were found with effect sizes ranging from d = 0.16–1.62 yielding a significant overall effect of d = 0.42 (95% CI: 0.15–0.69) and a low magnitude of heterogeneity of I 2 = 37%.

          Discussion: In conclusion, the first results of this emerging research field seem promising. However, the exact mechanisms of action are still unclear.

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          Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

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            Cochrane Handbook for Systematic Reviews of Interventions

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              Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs

              Effect sizes are the most important outcome of empirical studies. Most articles on effect sizes highlight their importance to communicate the practical significance of results. For scientists themselves, effect sizes are most useful because they facilitate cumulative science. Effect sizes can be used to determine the sample size for follow-up studies, or examining effects across studies. This article aims to provide a practical primer on how to calculate and report effect sizes for t-tests and ANOVA's such that effect sizes can be used in a-priori power analyses and meta-analyses. Whereas many articles about effect sizes focus on between-subjects designs and address within-subjects designs only briefly, I provide a detailed overview of the similarities and differences between within- and between-subjects designs. I suggest that some research questions in experimental psychology examine inherently intra-individual effects, which makes effect sizes that incorporate the correlation between measures the best summary of the results. Finally, a supplementary spreadsheet is provided to make it as easy as possible for researchers to incorporate effect size calculations into their workflow.
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                Author and article information

                Contributors
                Journal
                Front Behav Neurosci
                Front Behav Neurosci
                Front. Behav. Neurosci
                Frontiers in Behavioral Neuroscience
                Frontiers Media S.A.
                1662-5153
                26 August 2022
                2022
                : 16
                : 961070
                Affiliations
                [1] 1Department of Psychology, Faculty of Health, University Witten/Herdecke , Witten, Germany
                [2] 2Department of Internal and Integrative Medicine, Evang. Kliniken Essen-Mitte, Faculty of Medicine, University of Duisburg-Essen , Essen, Germany
                [3] 3Institute for General Practice and Interprofessional Care, University Hospital Tuebingen , Tuebingen, Germany
                [4] 4Bosch Health Campus , Stuttgart, Germany
                Author notes

                Edited by: Steffen Schulz, Charité Universitätsmedizin Berlin, Germany

                Reviewed by: Gianluca Serafini, San Martino Hospital (IRCCS), Italy; Saul Neves Jesus, University of Algarve, Portugal

                *Correspondence: Thomas Ostermann thomas.ostermann@ 123456uni-wh.de

                Specialty section: This article was submitted to Emotion Regulation and Processing, a section of the journal Frontiers in Behavioral Neuroscience

                Article
                10.3389/fnbeh.2022.961070
                9462381
                36090656
                1c6b57d5-8a9e-4558-bc1c-e4e7aa3d29f6
                Copyright © 2022 Ostermann, Pawelkiwitz and Cramer.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 03 June 2022
                : 26 July 2022
                Page count
                Figures: 2, Tables: 2, Equations: 0, References: 56, Pages: 10, Words: 78354
                Categories
                Behavioral Neuroscience
                Original Research

                Neurosciences
                academic performance,mindfulness,meta analysis,grade point average,students
                Neurosciences
                academic performance, mindfulness, meta analysis, grade point average, students

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