Abstract
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.
Highlights
IntroductionGiven that sport has performance statistics and winners and losers, an understanding of how to affect performance and the outcome of sporting events is valued and researched across all sport science areas
Timing of profile of mood states (POMS) in Relation to Sport Performance. The objective of this meta-analysis was to summarize the state of the POMS and sport performance literature to test whether Morgan’s [7,8] mental health model characterizes successful athletic performances and remain evens when examined across a number of potential sources of across study risk biases
Even with the mentioned limitations, this meta-analysis provided a better understanding of the POMS and sport performance relationships beyond that of Rowly and colleagues [9] and Beedie and colleagues [10]
Summary
Given that sport has performance statistics and winners and losers, an understanding of how to affect performance and the outcome of sporting events is valued and researched across all sport science areas. In sport psychology research, understanding athletic performance predictors is a main goal and there is much literature on the subject. Researchers have quantified many sport psychology interventions and constructs (see Lochbaum [1]) relating (to) athletic performance such as goal setting [2], achievement goals [3], mental practice [4], and team cohesion [5].
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