Terry Peter C, Parsons-Smith Renée L, King Rachel, Terry Victoria R
Centre for Health Research, University of Southern Queensland, Toowoomba, Queensland, Australia.
School of Psychology and Counselling, University of Southern Queensland, Toowoomba, Queensland, Australia.
PLoS One. 2021 Feb 2;16(2):e0245341. doi: 10.1371/journal.pone.0245341. eCollection 2021.
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.
在情绪剖析领域，文献中报道了六种不同的剖析类型，即冰山型、逆冰山型、逆珠穆朗玛峰型、鲨鱼鳍型、表面型和潜伏型。我们调查了在一个大型异质样本中，这六种情绪剖析类型的流行率是否因性别、年龄和教育程度而有所不同。15692名参与者通过“In The Mood”网站完成了布鲁内尔情绪量表（BRUMS）。使用种子k均值聚类分析来确认这六种剖析类型，并使用判别函数分析来验证聚类分类。情绪剖析类型的流行率在性别、年龄和教育程度方面的显著差异得到了证实。例如，女性比男性更频繁地报告负面情绪剖析类型，年龄较大且受教育程度较高的参与者比年龄较小且受教育程度较低的参与者具有更高的冰山型剖析类型流行率。研究结果表明，应考虑对BRUMS现有常模数据表进行完善。
