Evidence map›Paper›PMID 36452384›Full record

ArticleFrontiers in psychology2022

Mood profiles of amateur triathletes: Implications for mental health and performance.

Renée L Parsons-Smith, Sherry Barkase, Geoff P Lovell, Veronica Vleck, Peter C Terry

Abstract read
In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Cross-Cultural Validation of the Malaysian Mood Scale and Tests of Between-Group Mood Differences.International journal of environmental research and public health · 2023
    Article
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

5 authors.

Renée L Parsons-SmithSchool of Psychology and Counselling, University of Southern Queensland, Toowoomba, QLD, Australia.
Sherry BarkaseSchool of Health and Behavioural Sciences, University of the Sunshine Coast, Sippy Downs, QLD, Australia.
Geoff P LovellSchool of Health and Behavioural Sciences, University of the Sunshine Coast, Sippy Downs, QLD, Australia.
Veronica VleckInterdisciplinary Centre for the Study of Human Performance, Faculdade de Motricidade Humana, University of Lisbon, Cruz Quebrada-Dafundo, Portugal.
Peter C TerryCentre for Health Research, University of Southern Queensland, Toowoomba, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Moods have been shown to be predictive of athletic performance and a reflection of mental health status. The aims of our study were (a) to compare pre-race mood scores of triathletes with population norms; (b) to compare pre-race mood scores of triathletes grouped by gender and age bands; (c) to explore whether six distinct mood profile clusters reported in the literature were evident among triathletes and their respective prevalence; (d) to determine if pre-race mood scores predicted triathlon performance; and (e) to interpret our findings in terms of the risk of mental health issues for triathletes. Participants were 592 age-group triathletes (also referred to as recreational or amateur triathletes) who completed the Brunel Mood Scale pre-race and recorded their time goal for the race. Mean mood scores deviated significantly from population norms, with Tension and Vigor scores at the 55th and 54th percentile, respectively, and Depression, Anger, Fatigue, and Confusion scores between the 42nd and 46th percentile. Females reported higher Tension scores than males (

Indexed as

age-groupBRUMSmental healthmood profilesperformancetriathletetriathlon

Identifiers

PMID36452384
PMCPMC9703086

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Registered trials

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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.