The Effect of Circuit Training on Some Selected Motor Fitness and Physiological Variables Among Welketa U-17 Basketball Players

The goal of the study was to assess the effect of circuit training on some selected motor fitness and physiological variables among Welkite Kenema U-17 male basketball project participants. 30 male U-17 basketball players from Welkite Kenema were selected as subjects for this study. The experimental group, EG (n = 15) and the control group, CG (n = 15) assigned randomly. For two months, the training period lasted three days a week for 30 to 50 minutes per session. All the data that were gathered before and after the treatment were provided as the groups mean value and standard deviation to summarize and determine the effect of circuit training on chosen motor fitness and physiological variables. A t-test can also be employed to find out the significant difference among the groups on the selected motor fitness and physiological variables individually. The statistical package software (SPSS) version 25 was utilized for data entry and analysis. The result demonstrates that there is a considerable mean difference between the control and experimental groups in the pre-and post-test outcomes. The researcher determined that circuit training has a substantial influence on motor and physiological characteristics. Therefore, coaches, trainers, and scholars can use circuit training into their training.

Authors

Institutions

Publication Details

Journal
Science Futures
Published
2025-12-29
DOI
https://doi.org/10.11648/j.scif.20260201.16
Primary Topic
Sports and Physical Education Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Effect of Circuit Training on Some Selected Motor Fitness and Physiological Variables Among Welketa U-17 Basketball Players

Mekdes Mamo, Tamiru Tilahun Ayele, Assaye Gashaw
Science Futures
Sports and Physical Education Research
article

The Effect of Circuit Training on Some Selected Motor Fitness and Physiological Variables Among Welketa U-17 Basketball Players

Mekdes Mamo, Tamiru Tilahun Ayele, Assaye Gashaw
article en

Abstract

The goal of the study was to assess the effect of circuit training on some selected motor fitness and physiological variables among Welkite Kenema U-17 male basketball project participants. 30 male U-17 basketball players from Welkite Kenema were selected as subjects for this study. The experimental group, EG (n = 15) and the control group, CG (n = 15) assigned randomly. For two months, the training period lasted three days a week for 30 to 50 minutes per session. All the data that were gathered before and after the treatment were provided as the groups mean value and standard deviation to summarize and determine the effect of circuit training on chosen motor fitness and physiological variables. A t-test can also be employed to find out the significant difference among the groups on the selected motor fitness and physiological variables individually. The statistical package software (SPSS) version 25 was utilized for data entry and analysis. The result demonstrates that there is a considerable mean difference between the control and experimental groups in the pre-and post-test outcomes. The researcher determined that circuit training has a substantial influence on motor and physiological characteristics. Therefore, coaches, trainers, and scholars can use circuit training into their training.

Science FuturesVol. 2(1)
Madda Walabu University (ET), Hawassa University (ET), Hosan University (KR)
Openalex Percentile: Top 20%
Sports and Physical Education Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.