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      Transforming performance: The impact of an 8-week complex training program on strength, power, and change of direction in female basketball athletes

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          Abstract

          Background:

          This study aimed to investigate the effect of complex training on the strength, power, and change of direction (COD) performance of college female basketball athletes.

          Methods:

          This design used experimental and randomized studies. A total of 32 female basketball players volunteered to participate in this study and were randomly allocated to a complex training group (CT group: n = 16) and a resistance training group (RT group: n = 16). The CT group performed CT and the RT group completed RT for 8 weeks. The CT and RT programs were developed based on the linear periodization theory, which required participants to train 2 times a week in the first 4 weeks and 3 times a week in the following 4 weeks. All participants were tested using the 5-0-5 COD test, Illinois agility test (IAT), one-repetition maximum back squat (1RM BS) test, and countermovement jump (CMJ) test before and after the 8-week training period.

          Results:

          Two-way repeated measure ANOVA showed a significant group × time interaction for the 5-0-5 COD, IAT, 1RM BS, and CMJ results after the intervention compared with that before the intervention ( P < .05) in the CT group (effect size = 0.86–4.04). CT compared with RT caused remarkably larger enhancements in the IAT ( P < .001) and CMJ ( P = .040) scores.

          Conclusion:

          Our findings indicate that the implementation of CT could be a promising and innovative intervention for enhancing the strength, power, and COD performance of female basketball players.

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          Most cited references39

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          Statistical Power Analysis for the Behavioral Sciences

          <i>Statistical Power Analysis</i> is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: <br> * a chapter covering power analysis in set correlation and multivariate methods;<br> * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and;<br> * expanded power and sample size tables for multiple regression/correlation.<br>
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            Progressive statistics for studies in sports medicine and exercise science.

            Statistical guidelines and expert statements are now available to assist in the analysis and reporting of studies in some biomedical disciplines. We present here a more progressive resource for sample-based studies, meta-analyses, and case studies in sports medicine and exercise science. We offer forthright advice on the following controversial or novel issues: using precision of estimation for inferences about population effects in preference to null-hypothesis testing, which is inadequate for assessing clinical or practical importance; justifying sample size via acceptable precision or confidence for clinical decisions rather than via adequate power for statistical significance; showing SD rather than SEM, to better communicate the magnitude of differences in means and nonuniformity of error; avoiding purely nonparametric analyses, which cannot provide inferences about magnitude and are unnecessary; using regression statistics in validity studies, in preference to the impractical and biased limits of agreement; making greater use of qualitative methods to enrich sample-based quantitative projects; and seeking ethics approval for public access to the depersonalized raw data of a study, to address the need for more scrutiny of research and better meta-analyses. Advice on less contentious issues includes the following: using covariates in linear models to adjust for confounders, to account for individual differences, and to identify potential mechanisms of an effect; using log transformation to deal with nonuniformity of effects and error; identifying and deleting outliers; presenting descriptive, effect, and inferential statistics in appropriate formats; and contending with bias arising from problems with sampling, assignment, blinding, measurement error, and researchers' prejudices. This article should advance the field by stimulating debate, promoting innovative approaches, and serving as a useful checklist for authors, reviewers, and editors.
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              A simple method for measurement of mechanical power in jumping

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                Author and article information

                Contributors
                Journal
                Medicine (Baltimore)
                Medicine (Baltimore)
                MD
                Medicine
                Lippincott Williams & Wilkins (Hagerstown, MD )
                0025-7974
                1536-5964
                14 June 2024
                14 June 2024
                : 103
                : 24
                : e38524
                Affiliations
                [a ]Department of Physical Education, Nanjing Vocational College of Information Technology, Nanjing, China
                [b ]Department of Sports Training, Nanjing Sport Institue, Nanjing, China
                [c ]College of Physical Education, Yangzhou University, Yangzhou, China
                [d ]Department of Physical Education, Nanjing University of Aeronautics and Astronautics, Nanjing, China
                [e ]College of Physical Education, Shandong Normal University, Jinan, China
                [f ]Department of Physical Education, Shenzhen Polytechnic, Shenzhen, China.
                Author notes
                [* ]Correspondence: Xin Su, Department of Physical Education, Shenzhen Polytechnic, Shenzhen, China, 518055 (e-mail: susuxin@ 123456szpt.edu.cn ).
                Author information
                https://orcid.org/0009-0002-5469-0812
                Article
                MD-D-23-10848 00046
                10.1097/MD.0000000000038524
                11175861
                38875405
                d3f3b4b9-4c35-4c65-be90-ce0711f48753
                Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.

                This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal.

                History
                : 06 December 2023
                : 14 March 2024
                : 17 May 2024
                Categories
                7000
                Research Article
                Clinical Trial/Experimental Study
                Custom metadata
                TRUE

                cod,complex training,female basketball players,physical training,strength

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