Evidence map›Paper›PMID 41003609›Full record

ArticleSports (Basel, Switzerland)2025

Mood States, Injury Status, and Countermovement Jump Performance in Brazilian High-Level Sports.

Izabel Cristina Provenza de Miranda Rohlfs, Franco Noce, Carolina F Wilke, Tim J Gabbett, Victoria R Terry, Alexandre Montenegro, Carlos Alexandre Assis, Paula Moreira Magalhães, Pasteur O de Miranda, Peter C Terry

Abstract read
In one paragraph

Article in Sports (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Izabel Cristina Provenza de Miranda RohlfsSchool of Psychology and Wellbeing, University of Southern Queensland, Toowoomba 4350, Australia.ORCID 0000-0003-3780-6916
Franco NoceSchool of Physical Education, Physiotherapy and Occupational Therapy, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil.ORCID 0000-0001-6751-0871
Carolina F WilkeSchool of Physical Education, Physiotherapy and Occupational Therapy, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil.
Tim J GabbettGabbett Performance Solutions, Brisbane 4011, Australia.
Victoria R TerrySchool of Nursing and Midwifery, University of Southern Queensland, Toowoomba 4350, Australia.
Alexandre MontenegroUnified Center for the Identification and Development of Performance Athletes (CUIDAR), Clube de Regatas do Flamengo, Rio de Janeiro 22430-041, Brazil.
Carlos Alexandre AssisUnified Center for the Identification and Development of Performance Athletes (CUIDAR), Clube de Regatas do Flamengo, Rio de Janeiro 22430-041, Brazil.ORCID 0009-0005-8881-4256
Paula Moreira MagalhãesUnified Center for the Identification and Development of Performance Athletes (CUIDAR), Clube de Regatas do Flamengo, Rio de Janeiro 22430-041, Brazil.
Pasteur O de MirandaIndependent Researcher, Belo Horizonte 30315-030, Brazil.
Peter C TerrySchool of Psychology and Wellbeing, University of Southern Queensland, Toowoomba 4350, Australia.ORCID 0000-0002-7018-4533

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated relationships between mood profiles, sports injuries, and countermovement jump with arm swing (CMJ) performance in a cohort study of 417 Brazilian athletes using a multi-methods approach during the period from January to November 2023. Six distinct mood profiles were identified, termed the shark fin (28.3%), iceberg (20.4%), submerged (18.7%), inverse iceberg (18.0%), surface (9.8%), and inverse Everest (4.8%). Athletes with the inverse Everest profile had a significantly higher risk of injury (OR = 2.90; 90% CI [1.09-7.55]) compared to those with the iceberg profile. Random forest models showed moderate predictive capability (AUC = 0.651), with vigour (12.7%) and anger (11.5%) as primary predictors. Bayesian analysis confirmed a higher injury probability in athletes with the inverse Everest profile (31.8%). Despite statistical power limitations, the results indicate that negative mood profiles, particularly those with elevated anger and fatigue, are associated with increased injury risk. Mood scores were not associated with CMJ performance variation. These findings highlight the importance of considering mood profiles in athlete monitoring systems, acknowledging the complex interplay between psychological and physical factors in injury risk.

Indexed as

athlete monitoringBrazil Mood Scale (BRAMS)injury preventionneuromuscular performancepsychological well-being

Identifiers

PMID41003609
PMCPMC12473216

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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.