Six hypothesised mood profile clusters were identified in a Finnish population, with males, athletes/exercisers, and older adults (46+) overrepresented in the iceberg profile associated with positive mental health, while females and inactive individuals showed profiles associated with elevated mental health risk.
Key Findings
Results
Seeded k-means cluster analysis successfully identified six hypothesised mood profile clusters in a Finnish population.
The six profiles investigated were: iceberg, inverse iceberg, inverse Everest, shark fin, submerged, and surface profiles.
The sample consisted of 652 Finnish-speaking participants (409 females and 231 males).
The 24-item, 6-factor Finnish-language version of the Brunel Mood Scale (BRUMS), referred to as the Finnish Mood Scale (FIMS), was used.
Discriminant function analysis was used to support cluster strength.
Results
Males were overrepresented in the iceberg profile, associated with positive mental health, while females were overrepresented in profiles associated with mental health risk.
Chi-squared analyses showed differences between gender groups in cluster prevalence.
Females were overrepresented in the inverse Everest and shark fin profiles, both associated with risks to mental health.
The sample included 409 females and 231 males.
Results
Physical activity level was associated with differential representation across mood profile clusters.
The inactive group (n = 128) was underrepresented and exercisers (n = 368) were overrepresented in the iceberg profile.
Exercisers were underrepresented and athletes (n = 156) were overrepresented in the inverse iceberg profile.
Participants self-identified as athletes, regular exercisers, or inactive.
Chi-squared analyses were used to assess differences in cluster prevalence across physical activity categories.
Results
Age was associated with differential representation in mood profile clusters, with the oldest age group overrepresented in the iceberg profile.
Participants were grouped into four age categories: 15–25 yr (n = 238), 26–35 yr (n = 176), 36–45 yr (n = 108), and 46+ yr (n = 129).
The 46+ years group was overrepresented in the iceberg profile, associated with positive mental health.
Chi-squared analyses showed differences between age groups in cluster prevalence.
Conclusions
The Finnish Mood Scale (FIMS) demonstrated utility for identifying individuals with mood profiles associated with elevated mental health risk in Finnish populations aged 15 years and older.
The FIMS is a 24-item, 6-factor Finnish-language adaptation of the Brunel Mood Scale (BRUMS).
The scale was validated across a broad age range (15 years and older) and across different physical activity levels, genders, and age groups.
Findings support mood profiling as a strategy for assessing mental health risk in a Finnish cultural context.
Luojumäki R, Ruiz M, Adie J, Terry P. (2026). Exploring Mood Profile Clusters Across Physical Activity Level, Gender and Age in a Finnish Population.. European journal of sport science. https://doi.org/10.1002/ejsc.70131