了解超重和肥胖子组:对英国约克郡健康研究数据的集群分析
Rachel O'Hara1, John Stephenson2, Elizabeth Goyder3
1Sheffield Centre for Health and Related Research (SCHARR), University of Sheffield, Sheffield, UK. r.ohara@sheffield.ac.uk.
BMC public health
|October 1, 2025
概括
这项研究根据体重,健康和生活方式因素确定了人口中的六个不同的子组. 了解这些多样化的群体是制定有效,针对每个人的量身定制的体重管理策略的关键.
科学领域:
- 公共卫生 公共卫生
- 肥胖问题研究研究
- 健康差异 在健康上的差异
背景情况:
- 超重和肥胖人口的多样性,需要有针对性的干预措施.
- 之前的研究使用了区域数据集上的集群分析来探索肥胖异质性.
- 本研究旨在深入了解改善体重管理的人口子组.
研究的目的:
- 根据体重状况,人口统计,健康状况和生活方式,在大量人口中识别不同的子组.
- 提供对子组特征的详细理解,为定制的重量管理策略提供信息.
- 基于以前的集群分析研究,使用更大的数据集和更广泛的权重类别.
主要方法:
- 采用集群分析,特别是k-原型方法,适用于混合数据类型.
- 利用来自约克郡健康研究 (YHS) 的大型数据集,包括47,080名参与者.
- 通过使用肘法在螺纹图表上确定最佳的集群数量.
主要成果:
- 确定了六个不同的子组,具有不同的重量状态和特征.
- 小组包括:年轻,健康,活跃,大量饮酒的男性;身体健康不佳但生活质量良好的老年人;健康状况,生活质量和福祉不佳的老年人;健康状况不佳但福祉高的老旧吸烟者;年轻,健康,活跃的女性;以及心理健康和福祉不佳的年轻人.
- 这些子组根据人口统计,健康指标,生活方式因素和体重类别 (健康体重,超重,肥胖) 进行了区分.
结论:
- 这些发现提供了关于体重决定因素的种群异质性的宝贵见解.
- 这种增强的理解对于在更广泛的公共卫生倡议中制定有针对性的体重管理策略至关重要.
- 将干预措施定制为特定的人口子组可以提高体重管理计划的有效性.
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