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Contact Name
Cahniyo Wijaya Kuswanto
Contact Email
journaljcss@gmail.com
Phone
+6285725935530
Journal Mail Official
journaljcss@gmail.com
Editorial Address
Jl. Endro Suratmin, Sukarame, Bandar lampung
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Kota bandar lampung,
Lampung
INDONESIA
Journal of Coaching and Sports Science
ISSN : 29631459     EISSN : 29631483     DOI : 10.58524/jcss.v1i2.
Core Subject : Education, Social,
Journal of Coaching and Sports Science is an academic journal that aims to provide education about coaching and sports science. In this journal, theory and practice in coaching will be integrated with sports science as a critical reflection of coaching practice, as well as improving sports academics and coaches to help athletes acquire skills through sports science. The vision of this journal uncovers, understands, and develops the processes involved in sports coaching and the development of sports science.
Arjuna Subject : Umum - Umum
Articles 52 Documents
Psychological Needs Satisfaction and Thwarting, Burnout, and Controlling Coach Behaviors among Athletes: A Structural Model on Team Climate Tuano, Arianne Michael Sim Monderondo; Andacao, Arvin Alcaraz; Dora, Jovelito
Journal of Coaching and Sports Science Vol 4, No 2 (2025): Journal of Coaching and Sports Science
Publisher : CV. FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/jcss.v4i2.656

Abstract

Background: Team climate plays a crucial role in athletes' psychological well-being and performance. While sports participation fosters social connections and mental wellness, athletes also face stressors that impact their motivation and well-being.Aims: This study aimed to assess the levels of psychological needs satisfaction (PNS), psychological need thwarting (PNT), burnout (BO), controlling coach behavior (CCB), and team climate (TC) among athletes. It also examined the relationships among these variables, identified key predictors of team climate, and determined the best-fitting model explaining team climate in a sports context.Methods: A descriptive-correlational design and Structural Equation Modeling (SEM) were used to analyze data from 57 competitive athletes. PNS, PNT, CCB, and BO were measured to identify key predictors influencing TC and its model parsimony.Results: Mean scores indicated moderate to high levels of PNS (x̄=5.87), PT (x̄=3.30), BO (x̄=3.00), CCB (x̄=2.90), and TC (x̄=5.53). Correlation analysis revealed that PNS positively correlated with TC (r=0.545; p0.01), while PT (r=-0.362; p0.01) and BO (r=-0.200; p0.05) negatively correlated with TC. Multiple regression showed that PNS (β=0.626; p=0.000), PT (β=-0.504; p=0.000), and BO (β=0.423; p=0.004) significantly predicted TC, with an R² of 0.505. Among of the generated models, hypothesized model 4 met the high threshold indices (CMIN/DF=1.102, RMSEA=0.02, GFI=0.981, CFI=0.958, TLI=0.972, NFI=0.956).Conclusion: PNS emerged as the strongest predictor of TC, while PNT hindered it. Surprisingly, BO positively influenced TC, suggesting shared adversity may strengthen cohesion. CCB did not directly predict TC but indirectly influenced BO. The findings highlight the importance of athlete-centered coaching in fostering supportive teams and well-being.
Body Composition, Hand Grip Strength, and Leg Strength in Various Sports Azim, Al; Bougrine, Houda; Hossain, Jakir; Laher, Ismail; Govindasamy, Karuppasamy; Saeidi, Ayoub; Zouhal, Hassane
Journal of Coaching and Sports Science Vol 4, No 2 (2025): Journal of Coaching and Sports Science
Publisher : CV. FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/jcss.v4i2.742

Abstract

Background: Body composition, leg strength ratio, and handgrip strength could significantly affect and predict aspects of health and athletic performance. We explored the association between body composition (BC), leg strength (LSR), and hand grip strength (HGS) among university athletes in different sports.Aims: to investigate the multiple influences of these physical factors through other sports to provide a more integrated understanding of the total effect of these factors on athlete performance and selection.Methods: Sixty-six university athletes (age: 22.76± 2.11y, BMI 21.57± 3.04 kg/m2) were enrolled for our study. The participants (39 males and 27 females) participated in cricket, volleyball, and athletics. Body composition (BC), including lean body mass (LBM), muscle mass (MM), skeletal muscle mass (SMM), body fat mass (BFM), basal metabolic rate (BMR), hand grip strength (HGS), and leg strength ratio (LSR), was assessed. A chi-square test and independent sample t-tests analyzed the differences between categorical and continuous variables. A one-way ANOVA was used to analyze the multiple comparisons (BMR, LSR, BFM, and HGS) across cricket, volleyball, and track and field athletes.Results: The mean BFM in volleyball players was higher than in track and field athletes (14.20 ± 6.28 vs 8.44 ± 3.15, p0.05). Analysis with a linear regression model adjusted for age, sex, BMI, and smoking habit indicated that LBM and BFM of participants were positively associated with HGS (p0.05). However, an increase in HGS was associated with greater LSR in cricket (p 0.001), volleyball (p 0.0001), and track and field athletes (p 0.01).Conclusions: Our findings suggest that body composition, hand grip strength, and leg strength may be useful in player selection and improving performance for specific sports. Our results indicate increased hand grip strength is associated with greater leg strength.