使用模糊混合合成指数和有序探针模型测量欧盟的物理活动
Juan Carlos Martín1, Pedro Moreira1
1Institute of Tourism and Sustainable Economic Development, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain.
Frontiers in sports and active living
|August 18, 2025
概括
这项研究开发了一种合成指数,使用调查数据测量欧盟公民的体育活动. 结果表明,年龄和性别等因素显著影响体育活动水平,为有针对性的公共卫生干预提供了信息.
科学领域:
- 公共卫生 公共卫生
- 社会学 社会学 社会学
- 数据科学数据科学数据科学
背景情况:
- 测量身体活动对公共健康至关重要.
- 现有的方法可能无法捕捉到身体活动的复杂性.
- 关于体育和体育活动的欧巴罗米特提供了相关数据.
研究的目的:
- 开发一个综合指数来衡量欧盟公民的体育活动.
- 确定影响身体活动水平的关键决定因素.
主要方法:
- 采用了一种模糊混合分析方法.
- 分析了26578名欧盟受访者的数据集.
- 九个物品用三点顺序尺度测量了身体活动.
主要成果:
- 在个人和总体水平上生成了体力活动的合成指标.
- 分析了包括人口统计和社会经济因素在内的17个共变量.
- 性别,年龄,教育,社会阶级和政治取向被确定为重要的决定因素.
结论:
- 开发的指数提供了对欧盟体育活动的全面衡量.
- 了解决定因素是设计针对身体不活动的有效干预措施的关键.
- 这些发现可以指导有针对性的公共卫生战略,以促进体育活动.
相关概念视频
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