ArticlePloS one2021
Influence of sex, age, and education on mood profile clusters.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Pain Candidate Genes 5-HTTLPR and COMT Affect Anxiety and Mood in Japanese Ballet Dancers: A Cross-Sectional and Longitudinal Study.Sports (Basel, Switzerland) · 2024Article
- The structural validity and latent profile characteristics of the Abbreviated Profile of Mood States among Chinese athletes.BMC psychiatry · 2024Article
- Prevalence of Specific Mood Profile Clusters among Elite and Youth Athletes at a Brazilian Sports Club.Sports (Basel, Switzerland) · 2024Article
- Mood profile in men and women of all ages is improved by leisure-time physical activity rather than work-related physical activity.BMC public health · 2024Article
- Strike 3 … Out! Investigating Pre-Game Moods, Performance, and Mental Health of Softball Umpires.Sports (Basel, Switzerland) · 2024Article
- Mood states of active and insufficiently active adolescents related to sleep quality, gender, academic performance and guidelines for the post-COVID-19 scenario.Frontiers in psychology · 2024Article
- Competitive Anxiety and Mood States in High-Performance Cuban Student Athletes.Psychology in Russia : state of the art · 2024Article
- Psychometric Characteristics of the Brazil Mood Scale among Youth and Elite Athletes Using Two Response Time Frames.Sports (Basel, Switzerland) · 2023Article
- A Greek Translation of the Brunel Mood Scale: Initial Validation among Exercise Participants and Inactive Adults.Sports (Basel, Switzerland) · 2023Article
- Testing the Psychometric Properties of an Arabic Version of the Brunel Mood Scale among Physical Education Students.European journal of investigation in health, psychology and education · 2023Article
- Cross-Cultural Validation of the Malaysian Mood Scale and Tests of Between-Group Mood Differences.International journal of environmental research and public health · 2023Article
- Impact of social isolation caused by the COVID-19 pandemic on the mood profile of active and sedentary older adults: physical activity as a protective factor.Frontiers in public health · 2023Observational
- Validation of a Lithuanian-Language Version of the Brunel Mood Scale: The BRUMS-LTU.International journal of environmental research and public health · 2022Article
- Risks to mental health of higher degree by research (HDR) students during a global pandemic.PloS one · 2022Article
- Mood profiles of amateur triathletes: Implications for mental health and performance.Frontiers in psychology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.