ArticlePloS one2025
Latent class analysis of aggression in martial arts and combat sports: A cross-sectional study.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Previous research on aggression in martial arts and combat sports (MA&CS) has shown mixed results. Some studies showed that MA&CS training lowers aggression levels, while other studies found it increases aggression or has no effect. To explain better this inconsistency, this study used latent class analysis to identify distinct subgroups of MA&CS practitioners based on aggression levels and related demographic and sports factors. Previous research predominantly employed a variable-centered approach to investigate the relationships between variables and their impact on outcomes. This study adopts a person-centered approach to identify subgroups that exhibit similar patterns of aggression, thereby enhancing the understanding of individual differences through variable configurations. A cross-sectional study was conducted with 367 participants aged between 16 and 57 years old (M = 27.28, SD = 9.52), including 23% of women, and 76% MA&CS athletes in such disciplines as Brazilian jiu-jitsu (BJJ), karate Kyokushin (KK), mixed martial arts (MMA), and wrestling. Participants completed paper-and-pencil self-report psychological questionnaires, including the Buss-Perry Aggression Questionnaire and provided demographic information. Latent class analysis was performed using aggression scores, age, gender, education, economic status, MA&CS training experience, and discipline. Three latent classes were identified: MA&CS Experts (n = 182), MA&CS Newbies (n = 95), and Non-Athletes (n = 90). Among MA&CS Experts were more women [χ2(2) = 14.55, p < 0.001], older participants [H(2) = 236.42, p < 0.001], more experienced [H(2) = 8.31, p = 0.004], those with higher education [χ2(10) = 572.93, p < 0.001] and economic status [χ2(8) = 60.67, p < 0.001], and lower aggression scores [F(2, 161) = 10.443, p < 0.001], compared to MA&CS Newbies. MA&CS Newbies had higher physical aggression than Non-Athletes (p < 0.001). BJJ was overrepresented in the MA&CS Experts class, while KK and MMA were underrepresented [χ2(8) = 396.69, p < 0.001]. The MA&CS Newbies included athletes representing all four MA&CS disciplines in a similar proportion. The results highlight the role of long-term MA&CS training in potentially reducing aggression, particularly hostility, physical aggression, and verbal aggression. Demographic factors like age, gender, education, and economic status were also important in distinguishing the latent classes. The findings suggest aggression in MA&CS is a complex phenomenon influenced by multiple socio-cultural factors. Both the type of MA&CS and socio-demographic factors should be controlled by researchers and sports coaches if the goal of training is to reduce aggression in martial arts athletes.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.