在芬兰人口中探索身体活动水平,性别和年龄的情绪概况集群
Reko J Luojumäki1,2, Montse C Ruiz1, Joshua M Adie2
1Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
European journal of sport science
|January 28, 2026
概括
这项研究使用芬兰情绪量表 (FIMS) 识别了芬兰人的六种不同的情绪特征. 某些个人资料与积极的心理健康有关,而另一些则表明风险,表明FIMS对心理健康评估的实用性.
科学领域:
- 心理学 心理学 心理学
- 心理健康评估 心理健康评估
- 文化心理学 文化心理学
背景情况:
- 情绪分析是评估心理健康风险的关键策略.
- 在各种文化中,已经确定了不同的情绪特征集群.
- 布鲁内尔情绪量表 (BRUMS) 是一种验证的情绪评估工具.
研究的目的:
- 在芬兰人口中调查六个先前识别的情绪概况集群.
- 检查不同人口群体 (性别,体育活动,年龄) 中这些情绪特征的流行程度.
- 评估芬兰情绪量表 (FIMS) 在识别心理健康风险方面的有用性.
主要方法:
- 用种子 k-means 集群分析来识别情绪概况.
- 区分功能分析证实了集群的有效性.
- 千平方分析检查了人口群体之间集群流行率的差异.
主要成果:
- 在芬兰样本中确定了六个假设的情绪概况.
- 性别差异出现了:男性倾向于"冰山"形状 (积极的心理健康),而女性在"逆珠穆朗玛峰"和"鱼翅"形状 (心理健康风险) 中过度代表.
- 身体活动和年龄影响了个人资料的分布,老年人和运动者更有可能在"冰山"个人资料中.
结论:
- 芬兰情绪量表 (FIMS) 证明了在芬兰识别精神健康问题的高风险个人的潜力.
- 根据性别,身体活动水平和年龄,情绪特征的分布有很大差异.
- 这项研究有助于理解情绪特征的文化差异及其与心理健康结果的关联.
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