Evidence map›Paper›PMID 42661691›Full record

ArticleFrontiers in public health2026

Latent profiles of pre-competition psychological states in young Chinese judo athletes: associations with depression and mental toughness.

Yongsheng Zhang, Zhining Niu, Zongyu Liu, Wenjia Chen, Ruihan Chen, Haitao Niu

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Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Yongsheng ZhangSchool of Art and Design, Weifang University of Science and Technology, Shouguang, Shandong, China.
Zhining NiuSchool of Physical Education and Health, Guangxi Minzu University, Nanning, Guangxi, China.
Zongyu LiuDepartment of Sports Science, College of Education, Zhejiang University, Hangzhou, Zhejiang, China.
Wenjia ChenSchool of Physical Education, China University of Mining and Technology, Xuzhou, China.
Ruihan ChenDepartment of Sports Science, College of Education, Zhejiang University, Hangzhou, Zhejiang, China.
Haitao NiuSchool of Physical Education, Shandong University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Young judo athletes show highly heterogeneous pre-competition psychological states, yet prior variable-centered research has assumed a uniform linear "support-anxiety" relationship that masks individual differences. Using latent profile analysis, this study aimed to identify subgroups jointly defined by perceived social support and competitive state anxiety, examine unadjusted between-profile differences in depression and mental toughness, and investigate covariate-adjusted correlates of profile membership. Methods: A cross-sectional design was employed. A total of 222 young Chinese judo athletes were assessed using the Multidimensional Scale of Perceived Social Support (MSPSS), the Competitive State Anxiety Inventory-2 (CSAI-2), the Center for Epidemiologic Studies Depression Scale (CES-D), and the Sports Mental Toughness Questionnaire (SMTQ). Standardized perceived social support and competitive state anxiety served as the indicator variables for latent profile analysis (LPA); the retained profile solution was selected by jointly considering the AIC, BIC, SABIC, entropy, and class proportions. Binary logistic regression was used to examine the covariate-adjusted associations of mental toughness and habitual stress with profile membership while controlling for age, sex, and history of acute sports injury. Independent-samples Results: A two-profile solution was retained after jointly considering information criteria, profile size, classification accuracy, parsimony, and substantive interpretability (entropy = 0.679). The Resource-Deprived profile comprised 36.5% of the sample, whereas the Supported-Vigilant profile comprised 63.5%. The Supported-Vigilant profile reported lower depression ( Conclusion: The retained profiles were distinguished primarily by jointly lower versus jointly higher levels of perceived social support and composite competitive state anxiety. In the Supported-Vigilant profile, higher composite competitive state anxiety coexisted with lower depression and higher mental toughness; however, the present findings do not establish that anxiety was facilitative or that social support buffered its effects. These findings suggest that pre-competition psychological work should assess anxiety intensity together with perceived support and broader psychological adjustment, rather than uniformly pursuing anxiety reduction, while giving particular attention to resource-deprived athletes.

Indexed as

AnxietyAthletesDepressionMartial ArtsAdolescentChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleSocial SupportSurveys and QuestionnairesYoung Adultcompetitive state anxietyjudo athleteslatent profile analysismental toughnessperceived social supportperson-centered

Identifiers

PMID42661691
PMCPMC13518165

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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 OpenQuestion graph.