Attributable fractions for partitioning risk and evaluating disease prevention: a practical guide

被引:25
作者
Eide, Geir E. [1 ,2 ]
机构
[1] Haukeland Hosp, Clin Res Ctr, N-5021 Bergen, Norway
[2] Univ Bergen, Sect Epidemiol & Med Stat, Dept Publ Hlth & Primary Hlth Care, Bergen, Norway
关键词
attributable risk in exposed; etiologic fraction; pie chart; population attributable risk; scaled sample space cube; survival time;
D O I
10.1111/j.1752-699X.2008.00091.x
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
Introduction: The attributable fraction (AF) is used for quantifying the fraction of diseased ascribable to one or more exposures. The methodology and software for its estimation has undergone a considerable development during the last decades. Objectives: To introduce methods for: (i) apportioning excess risk to multiple exposures, groups of exposures and subpopulations; (ii) graphical description; and (iii) survival data. Results: Adjusted, sequential and average AFs are reasonable measures obtainable with standard software. The latter two both sum up to the combined AF for a set of exposures. The average AFs are independent of the exposures' ordering. For all ordered, preventive strategy, scaled sample space cubes illustrate the effects on the risk of disease from stepwise exposure removal. Pie charts illustrate the Portions of the total risk ascribed to different exposures or risk-profiles. Attributable hazard fraction, AF before time t, and AF within study incorporate time to disease and interventions. Conclusions: The practice of crude calculations of AFs in epidemiology should be abandoned. Further development of methods for AFs with survival data and possibly linking it to causal modelling is of interest.
引用
收藏
页码:92 / 103
页数:12
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