Journal article
Influence of sex, age, and education on mood profile clusters
PLoS One, Vol.16(2), pp.1-16
2021
PMCID: PMC7853457
PMID: 33529196
Abstract
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 QueenslandRenee Parsons-Smith (Author) - University of the Sunshine Coast, Queensland, School of Social Sciences - LegacyRachel King (Author) - University of Southern QueenslandVictoria R. Terry (Author) - University of Southern Queensland
- Publication details
- PLoS One, Vol.16(2), pp.1-16
- Publisher
- Public Library of Science
- Date published
- 2021
- DOI
- 10.1371/journal.pone.0245341
- ISSN
- 1932-6203
- PMID
- 33529196; PMC7853457
- Copyright note
- Copyright: © 2021 Terry et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- Organisation Unit
- School of Social Sciences - Legacy; University of the Sunshine Coast, Queensland; School of Law and Society; School of Health and Behavioural Sciences - Legacy
- Language
- English
- Record Identifier
- 99506007002621
- Output Type
- Journal article
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