Relative reliability, construct validity, and concurrent validity of the Jiu-Jitsu Anaerobic Performance Test (JJAPT)
Soares, F. A. F.; Andreato, L. V.; Machado, H. E. d. S.; Coswig, V. S.; Lima, A. A. M.
Show abstract
This study aimed to investigate the test-retest reliability of the Jiu-Jitsu Anaerobic Performance Test (JJAPT), as well as its construct validity according to experience level (intermediate and advanced) and belt rank (blue, purple, brown, and black), in addition to its concurrent validity with physical performance measures. Twenty-three amateur Brazilian Jiu-Jitsu (BJJ) athletes participated in two assessment sessions. JJAPT repetitions (mean, peak, and total) were analyzed under 4 and 5-set protocols, along with physical tests including vertical jump, Wingate test, and specific strength-endurance tests. Reliability was assessed using the intraclass correlation coefficient (ICC), construct validity through t-tests and ANOVA, and concurrent validity through Pearsons correlation. Results indicated that the JJAPT showed moderate to good reliability (ICC = 0.74 to 0.82). No significant differences were observed between experience levels or belt ranks for any variables (p > 0.05), with trivial effect sizes, indicating a lack of discriminant validity. On the other hand, significant correlations were found between JJAPT performance and isometric and dynamic strength-endurance tests (r = 0.39 to 0.62), with moderate to large magnitudes. It is concluded that the JJAPT shows measurement stability; however, it demonstrates limited ability to discriminate performance between athletes of different experience levels and belt ranks, being more strongly associated with strength-endurance capacities. Keywords: Brazilian Jiu-Jitsu; anaerobic performance; training monitoring
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- Are isokinetic leg torques and kick velocity reliable predictors for competitive success in taekwondo athletes? 98%
- Area per player in small-sided games to replicate the external load and estimated physiological match demands in elite soccer players 98%
- Unveiling the Psychological Traits of Multi-Marathoners: Insights from TIPI Personality Trait Analysis 97%
Similar papers in this journal
- Do anthropometric characteristics and physical capacities of highly trained junior badminton players differ according to age and sex? 98%
- Differences in external loads of different pitch types in Chinese male college baseball players 98%
- Hyperoxia improves repeated-sprint ability and the associated training load in athletes 95%
Similar papers in this journal
- Quantifying paddling kinematic through muscle activation and whole body coordination during maximal sprint of different duration on a kayak ergometer: a pilot study 97%
- Successful reboot of high-performance sporting activities by Japanese national women’s handball team in Tokyo, 2020 during the COVID-19 pandemic: An initiative by Japan Sports-Cyber Physical System (JS-CPS) of Sports Research Innovation Project (SRIP) 95%
- The effect of breaking up sedentary time with calisthenics on neuromuscular function: a preliminary study 95%
Similar papers in this journal
- Technological advances in elite marathon performance 95%
- T-cell responses to acute cardiorespiratory or resistance exercise in cohorts of physically active or physically inactive older adults: A randomized complete crossover 95%
- Cerebrovascular Response to an Acute Bout of Short Interval High Intensity Interval Exercise and Recovery in Healthy Adults 94%
Similar papers in this journal
- Muscle activity of cutting manoeuvres and soccer inside passing suggests an increased groin injury risk during these movements 96%
- Association of Muscle Strength to Body Composition Measures using DXA, D 3 Cr, and BIA in Collegiate Athletes 96%
- Joint contact forces during barefoot, minimal and conventional shod running are highly individual 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.