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The Profile of Moods States and Athletic Performance: A Meta-Analysis of Published Studies
Researchers have extensively examined and reviewed the relationship of the profile of mood states (POMS) with sport performance since the 1970s. Two decades have passed since the last POMS quantitative review. Our overall objective was to quantify the POMS research with competitive athletes with a p...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8314345/ https://www.ncbi.nlm.nih.gov/pubmed/34542449 http://dx.doi.org/10.3390/ejihpe11010005 |
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author | Lochbaum, Marc Zanatta, Thaís Kirschling, Deylon May, Emily |
author_facet | Lochbaum, Marc Zanatta, Thaís Kirschling, Deylon May, Emily |
author_sort | Lochbaum, Marc |
collection | PubMed |
description | Researchers have extensively examined and reviewed the relationship of the profile of mood states (POMS) with sport performance since the 1970s. Two decades have passed since the last POMS quantitative review. Our overall objective was to quantify the POMS research with competitive athletes with a prospective measured POMS and a sport performance outcome in the published literature. Additionally, we tested potential moderators of the mental health model (i.e., sport duration, type, and skill) with meta-analytic techniques while considering potential risk bias across study sources. Based on a systematic review, the articles were found using EBSCO and comparing these articles with extensive past POMS in sport and exercise bibliographies. Search terms included profile of mood states (POMS) or iceberg profile or the mental health model with sport and performance or sports performance. For selection, articles must have reported data on competitive athletes, an athletic performance outcome, and a valid form of the POMS measured prospectively. After screening more than 600 articles for inclusion, 25 articles provided sufficient data for effect size calculations. The included articles spanned from 1975 to 2011, with 1497 unique participants. Hedges’ g values were generally small for the six POMS scales: tension (−0.21), depression (−0.43), anger (−0.08), vigor (0.38), fatigue (−0.13), and confusion (−0.41). However, the total mood disturbance (TMD) score effect size was medium in magnitude at −0.53. When corrected for potential publication bias, the effect size values increased in magnitude for tension (−0.47), depression (−0.64), vigor (0.44), fatigue (−0.34), and TMD (−0.84). Moderator analyses for Terry’s (1995) propositions and for risk of bias across studies, statistically, resulted in few differences based on conventional statistical significance (p < 0.05). Measured before performance, most of the POMS scales and TMD are reliable predictors of sport performance in competitive athletes across a wide variety of sports and athletic performance outcomes. Morgan’s (1980, 1985) mental health model or iceberg profile minus anger is still a viable method for understanding and improving athletic performances. |
format | Online Article Text |
id | pubmed-8314345 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83143452021-10-21 The Profile of Moods States and Athletic Performance: A Meta-Analysis of Published Studies Lochbaum, Marc Zanatta, Thaís Kirschling, Deylon May, Emily Eur J Investig Health Psychol Educ Review Researchers have extensively examined and reviewed the relationship of the profile of mood states (POMS) with sport performance since the 1970s. Two decades have passed since the last POMS quantitative review. Our overall objective was to quantify the POMS research with competitive athletes with a prospective measured POMS and a sport performance outcome in the published literature. Additionally, we tested potential moderators of the mental health model (i.e., sport duration, type, and skill) with meta-analytic techniques while considering potential risk bias across study sources. Based on a systematic review, the articles were found using EBSCO and comparing these articles with extensive past POMS in sport and exercise bibliographies. Search terms included profile of mood states (POMS) or iceberg profile or the mental health model with sport and performance or sports performance. For selection, articles must have reported data on competitive athletes, an athletic performance outcome, and a valid form of the POMS measured prospectively. After screening more than 600 articles for inclusion, 25 articles provided sufficient data for effect size calculations. The included articles spanned from 1975 to 2011, with 1497 unique participants. Hedges’ g values were generally small for the six POMS scales: tension (−0.21), depression (−0.43), anger (−0.08), vigor (0.38), fatigue (−0.13), and confusion (−0.41). However, the total mood disturbance (TMD) score effect size was medium in magnitude at −0.53. When corrected for potential publication bias, the effect size values increased in magnitude for tension (−0.47), depression (−0.64), vigor (0.44), fatigue (−0.34), and TMD (−0.84). Moderator analyses for Terry’s (1995) propositions and for risk of bias across studies, statistically, resulted in few differences based on conventional statistical significance (p < 0.05). Measured before performance, most of the POMS scales and TMD are reliable predictors of sport performance in competitive athletes across a wide variety of sports and athletic performance outcomes. Morgan’s (1980, 1985) mental health model or iceberg profile minus anger is still a viable method for understanding and improving athletic performances. MDPI 2021-01-13 /pmc/articles/PMC8314345/ /pubmed/34542449 http://dx.doi.org/10.3390/ejihpe11010005 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ). |
spellingShingle | Review Lochbaum, Marc Zanatta, Thaís Kirschling, Deylon May, Emily The Profile of Moods States and Athletic Performance: A Meta-Analysis of Published Studies |
title | The Profile of Moods States and Athletic Performance: A Meta-Analysis of Published Studies |
title_full | The Profile of Moods States and Athletic Performance: A Meta-Analysis of Published Studies |
title_fullStr | The Profile of Moods States and Athletic Performance: A Meta-Analysis of Published Studies |
title_full_unstemmed | The Profile of Moods States and Athletic Performance: A Meta-Analysis of Published Studies |
title_short | The Profile of Moods States and Athletic Performance: A Meta-Analysis of Published Studies |
title_sort | profile of moods states and athletic performance: a meta-analysis of published studies |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8314345/ https://www.ncbi.nlm.nih.gov/pubmed/34542449 http://dx.doi.org/10.3390/ejihpe11010005 |
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