烧烤数据:将规范曲线分析应用于红肉和所有原因的死亡率
Yumin Wang1, Tyler Pitre2, Joshua D Wallach3
1Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Journal of clinical epidemiology
|February 14, 2024
概括
规范曲线分析为营养流行病学提供了一种新的方法,揭示了红肉对死亡率的多种影响. 这种方法解决了分析灵活性,表明许多规范表明死亡风险降低.
科学领域:
- 营养流行病学 营养流行病学
- 生物统计学 生物统计学
- 公共卫生 公共卫生
背景情况:
- 观察性研究中的分析灵活性可以导致各种结果.
- 规范曲线分析 (SCA) 是一种通过探索所有可信的分析方法来解决这一问题的新方法.
- 它在营养流行病学中的应用仍未得到充分研究.
研究的目的:
- 将规范曲线分析 (SCA) 应用于营养流行病学.
- 使用SCA调查红肉消费与全因死亡率之间的关联.
- 证明SCA在处理研究问题时的可行性和实用性,并具有分析灵活性.
主要方法:
- 一项系统性审查确定了有关红肉和全因死亡率的观察研究.
- 分析方法 (模型,共变量,操作化) 的变化被记录下来.
- 规范曲线分析 (SCA) 应用于国家健康和营养检查调查 (NHANES) 数据 (2007-2014) 使用1208个分析规范的随机样本.
主要成果:
- 在15个出版物和24个队列中,确定了70种独特的分析方法.
- 在NHANES分析中,产生了1208个独特的规范.
- 36.0%的规范表明红肉和所有原因死亡率的危险比率 (HR) ≥1,而64.0%显示HR<1. 中位数HR为0.94 (IQR:0.83-1.05). 这是一个很好的方法.
- 4.0%的规范具有统计学意义;40表明死亡率降低,8表明死亡率增加.
结论:
- 规范曲线分析 (SCA) 是营养流行病学的可行和创新的方法.
- SCA提供了一种全面的方法,以了解分析选择对研究结果的影响.
- 这种方法提高了透明度,并解决了观察性研究中分析灵活性的挑战.
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