The aim of the current study was to explore mood profile clusters among a sample of Italian-speaking sport participants and to compare the emergent profiles to those found by Parsons-Smith et al. Mood profiling is an important technique in applied settings, suche as sport. Two archival datasets were used in this study. Dataset 1, collected during the development and validation of the Italian Mood Scale, was derived from 950 Italian-speaking residents of Italy. Dataset 2 was derived from 2,364 English-speaking adult participants. Results showed significant univariate non-normality in some subscales (e.g., depression) consistent with typical mood subscale distributions. The six mood profile clusters identified in Dataset 1 traced similar patterns to the mood profile clusters in Dataset 2. Males were over-represented and females were under-represented for the iceberg profile in both datasets. In relation to age, younger adults were under-represented and older adults were over-represented in the iceberg profile in both datasets. Additionally, younger adults were over-represented in the shark fin and surface profiles in both datasets. In conclusion, the mood profile clusters identified in English-speaking samples were also identified in an Italian sample, supporting their cross-cultural generalizability. Limitations: Italian Sample Size (=929) was not adequate for some of the analyses, when spread across six mood profiles and the various age groups.

Strengths: This study confirms the mood profiles identified in Parsons-Smith cross culturally and opens the door to other line of research mainly focused on behavioral outcomes, encouraging further exploration of mood profile clusters. Overall, I have found this study very interesting and original. I don’t have any major concern regarding the methods and the statistics.