Mood responses are a well-established mental health indicator. Gauging mental health status over time often involves periodic mood assessment using a standardized measure, a process referred to as mood profiling. Comparison of observed mood scores against relevant normative data is central to effective mood profiling. The primary purpose of our study was to improve existing norms for the Brunel Mood Scale (BRUMS) using a large internet sample. The secondary purpose was to discuss how mood profiling can be used to promote sustainable mental health primarily among athletes but also with relevance to non-athletes. The BRUMS was completed via the In The Mood website by 15,692 participants. Significant differences between observed mean scores and existing normative data were evident for all six mood dimensions, prompting norm refinement. Specific group norms were generated to address sex differences in mood responses and differences by athlete/nonathlete status. The revised tables of normative data for the BRUMS should be used by researchers in future investigations of mood responses and by applied practitioners seeking to monitor mood responses as an indicator of mental health status. Applications of mood profiling with elite athletes are exemplified, along with recommendations for using mood profiling in the pursuit of sustainable mental health.

Moods have been investigated previously in a range of cultural contexts. In our study, we investigated if six mood profiles previously identified, termed the iceberg, inverse Everest, inverse iceberg, shark fin, submerged, and surface profiles, were also evident among a Lithuanian sample. A Lithuanian translation of the Brunel Mood Scale (BRUMS-LTU) was completed by a sample of 746 participants (male = 199, female = 547) aged from 17–78 years (M = 41.8 years, SD = 11.4 year). Seeded k-means cluster analysis clearly identified the six hypothesized mood profiles, the prevalence of which reflected previous findings. Cluster prevalence varied significantly by sex, age, exercise and smoking status, frequency of overeating, and self-rated health of participants. Male participants and older adults were under-represented for the inverse Everest profile and over-represented for the iceberg profile. Those who reported more healthy habits (i.e., exerciser, non-smoker, rarely overeat) and those reporting better self-rated health were over-represented for the iceberg profile and under-represented for negative mood profiles; namely, the inverse Everest, inverse iceberg, and shark fin profiles. Findings supported the cross-cultural invariance of the mood profile clusters and confirmed the link between unhealthy habits and negative mood profiles.

Moods have been shown to be predictive of athletic performance and a reflection of mental health status. The aims of our study were (a) to compare pre-race mood scores of triathletes with population norms; (b) to compare pre-race mood scores of triathletes grouped by gender and age bands; (c) to explore whether six distinct mood profile clusters reported in the literature were evident among triathletes and their respective prevalence; (d) to determine if pre-race mood scores predicted triathlon performance; and (e) to interpret our findings in terms of the risk of mental health issues for triathletes. Participants were 592 age-group triathletes (also referred to as recreational or amateur triathletes) who completed the Brunel Mood Scale pre-race and recorded their time goal for the race. Mean mood scores deviated significantly from population norms, with Tension and Vigor scores at the 55th and 54th percentile, respectively, and Depression, Anger, Fatigue, and Confusion scores between the 42nd and 46th percentile. Females reported higher Tension scores than males (p < 0.001), and those in the 18–25 years and 26–35 years age bands reported higher Tension scores than those in the 46–55 years age band (p < 0.008). Using k-means cluster analysis, six distinct mood profiles were identified, the distribution of which approximated the general population, except for a low prevalence of very negative profiles. Mean scores for Depression and Anger were exceptionally low and only 1.5% of triathletes, compared to the normal prevalence of ~5%, reported an “inverse Everest” profile, which is associated with elevated risk of psychopathology. Mood scores did not predict triathlon performance, assessed by finish time as a percentage of time goal. Results showed an association between triathlon participation and psychological well-being. Findings will inform future investigations of mood responses among triathletes and provide a relevant point of reference for applied practitioners who work with triathletes.

Mood measures have been shown to have utility for monitoring risks to mental health and to predict performance among athletes. To facilitate use in a Malaysian context, we tested a Malay-language version of the 24-item Brunel Mood Scale (BRUMS), referred to as the Malaysian Mood Scale (MASMS). Following a thorough translation–back-translation process, the 24-item MASMS was administered to 4923 Malay-speaking respondents (2706 males, 2217 females; 2559 athletes, 2364 non-athletes), ranging in age from 17 to 75 years (M = 28.2 years, SD = 9.4 years). Confirmatory factor analysis supported the six-factor MASMS measurement model (CFI = 0.950, TLI = 0.940, RMSEA = 0.056 [CI 0.055, 0.058]). Convergent and divergent validity of the MASMS were supported via relationships with depression, anxiety, and stress measures. Significant differences in mood scores were found between athletes and non-athletes, males and females, and younger and older participants. Tables of normative data and profile sheets for specific groups were generated. We propose that the MASMS is a valid measure that can be used to monitor mental health status among athletes and non-athletes and that facilitates future mood-related research in Malaysia.

Mood profile clusters have previously been identified in several cultural contexts. In the present study, six mood profile clusters referred to as the iceberg, inverse Everest, inverse iceberg, shark fin, submerged, and surface profiles, were investigated in a Greek population. The names of the mood profiles reflect how they appear after raw scores for Tension, Depression, Anger, Vigor, Fatigue, and Confusion (in that order), are converted to T-scores and depicted graphically. A Greek translation of the Brunel Mood Scale (BRUMS-Greek) was completed by 1786 adults, comprising 1417 exercise participants and 369 physically inactive adults (male = 578, female = 1208) aged 18–64 years (M = 34.73 ± 11.81 years). Although the male–female ratio emphasized females, sample sizes of over 500 suggest some degree of representativeness. Seeded k-means cluster analysis clearly identified the six hypothesized mood profiles. Men were over-represented for the iceberg profile. For age, the 18–25 years group were under-represented for the iceberg profile, whereas the 46–55 and 56+ years groups were over-represented. The 56+ years group were under-represented for the inverse Everest, and the 18–25 years group were over-represented for the shark fin profile. For body mass index (BMI), participants in the obese weight category were over-represented for the inverse iceberg and shark fin profiles and under-represented for the submerged profile. Active participants were over-represented for the iceberg and submerged profiles, and under-represented for the inverse Everest, inverse iceberg, and surface profiles. Findings supported the cross-cultural equivalence of the mood profile clusters and confirmed the link between physical inactivity, obesity, and negative mood profiles.

COVID-19 affected health and wellbeing globally. Graduating nursing students face a variety of stressors, and entering the nursing profession during the pandemic adds additional stress. Using a quantitative cross-sectional design, mood, perceived stress, resilience, and coping were assessed in an Australian sample of 112 graduating nursing students, who completed the Brunel Mood Scale (BRUMS), Perceived Stress Scale (PSS-4), and Brief Resilient Coping Scale (BRCS). Mean BRUMS scores for tension, fatigue, and confusion were significantly above population norms and vigour scores were significantly below. Mean PSS-4 scores were reflective of population norms but showed higher levels of stress among younger and on-campus students compared to those who were older or studied externally. BRCS data showed that 82.1% of graduating nursing students were medium- or high-resilient copers. Mood profiles suggested that 19.6% of participants reported moods associated with mental health issues, 23.2% reported moods associated with risk of burnout, and only 17.9% reported mood profiles associated with positive mental health. High mean tension scores reported by graduating nursing students indicated apprehension about joining the profession, although stress, resilience, and coping scores suggested they were adequately managing the additional stressors generated by the global pandemic.