In the area of mood profiling, six distinct profiles are reported in the literature, termed the iceberg , inverse iceberg, inverse Everest, shark fin, surface, and submerged profiles. We investigated if the prevalence of the six mood profiles varied by sex, age, and education among a large heterogeneous sample. The Brunel Mood Scale (BRUMS) was completed via the In The Mood website by 15,692 participants. A seeded k-means cluster analysis was used to confirm the six profiles, and discriminant function analysis was used to validate cluster classifications. Significant variations in the prevalence of mood profiles by sex, age, and education status were confirmed. For example, females more frequently reported negative mood profiles than males, and older and more highly educated participants had a higher prevalence of the iceberg profile than their younger and lesser educated counterparts. Findings suggest that refinement of the existing tables of normative data for the BRUMS should be considered.
Details
Title
Influence of sex, age, and education on mood profile clusters
Authors
Peter C Terry (Author) - University of Southern Queensland
Renee Parsons-Smith (Author) - University of the Sunshine Coast, Queensland, School of Social Sciences - Legacy
Rachel King (Author) - University of Southern Queensland
Victoria R. Terry (Author) - University of Southern Queensland
School of Social Sciences - Legacy; University of the Sunshine Coast, Queensland; School of Law and Society; School of Health and Behavioural Sciences - Legacy