Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS 66160, USA.
Int J Environ Res Public Health. 2009 Dec;6(12):3115-26. doi: 10.3390/ijerph6123115. Epub 2009 Dec 7.
Based on the 40-year follow-up of the Framingham Heart Study (FHS), we used logistic regression models to demonstrate that different designs of an observational study may lead to different results about the association between BMI and all-cause mortality. We also used dynamic survival models to capture the time-varying relationships between BMI and mortality in FHS. The results consistently show that the association between BMI and mortality is dynamic, especially for men. Our analysis suggests that the dynamic property may explain part of the heterogeneity observed in the literature about the association of BMI and mortality.
基于弗雷明汉心脏研究（Framingham Heart Study，FHS）的 40 年随访结果，我们使用逻辑回归模型表明，观察性研究的不同设计可能会导致 BMI 与全因死亡率之间关联的结果存在差异。我们还使用动态生存模型来捕捉 FHS 中 BMI 与死亡率之间的时变关系。结果一致表明，BMI 与死亡率之间的关联是动态的，尤其是对于男性。我们的分析表明，这种动态特性可能解释了文献中观察到的 BMI 与死亡率之间关联的部分异质性。
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