评估成年人的体力活动和遵守2008年CDC指南,使用贝叶斯的两部分测量误差模型
Daniel Ries1, Alicia Carriquiry2
1Statistics and Data Analytics Department, Sandia National Laboratories, Albuquerque, NM, USA.
Journal of applied statistics
|September 18, 2023
概括
评估遵守体力活动指南 (PAG) 是一个挑战. 这项研究引入了贝叶斯测量误差模型,以准确评估身体活动的遵守,并考虑到比赛要求和每日变化.
科学领域:
- 公共卫生 公共卫生
- 生物统计学 生物统计学
- 流行病学 流行病学
背景情况:
- 身体活动对于健康的生活方式至关重要,但评估遵守公共卫生建议仍然很困难.
- 身体活动指南 (PAG) 建议至少10分钟的时间进行活动,这使遵守测量变得复杂.
- 现有的方法难以准确量化身体活动,并评估遵守特定指南.
研究的目的:
- 开发和应用一个可靠的统计模型来评估身体活动是否符合PAG.
- 为了解决测量体育活动的挑战,包括比赛要求和测量误差.
- 评估爱荷华州成年人群和全国样本中的PAG坚持.
主要方法:
- 开发一个由两个部分组成的贝叶斯测量误差模型.
- 该模型应用于爱荷华州体力活动测量调查 (PAMS) 的数据.
- 该模型对国家健康和营养检查调查 (NHANES) 数据的验证和应用.
主要成果:
- 贝叶斯模型准确地解释了PAG中的10分钟比赛要求.
- 该模型纠正了偏见的估计,并纳入了体育活动的日常变化.
- 最初的应用程序提供了关于爱荷华成年人身体活动坚持的见解.
结论:
- 一个新的贝叶斯测量误差模型提供了一个更准确的方法来评估身体活动准则的遵守.
- 这种方法可以提高对人口层面的体育活动合规性的理解.
- 该模型能够处理发作要求和测量误差对于公共卫生监测至关重要.
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