Literature DB >> 11446147

Attributable fractions: fundamental concepts and their visualization.

G E Eide1, I Heuch.   

Abstract

A general methodology for visualizing attributable fractions in epidemiology is described. The methodology applies to the multifactorial exposure situation and embraces various types of attributable fractions including adjusted, sequential and average attributable fractions. The concept of the scaled Venn diagram plays a central role, illustrating total disease risk and excess disease risk attributable to the exposures as areas in a unit square. This forms the ground for making simple pie charts of attributable fractions summing to 1 (or 100%). The potential applications extend from cohort and cross-sectional data to data from case-control studies. The methodology is illustrated by theoretical as well as empirical examples including the risk of motor fatalities attributable to driver's blood alcohol concentration and age, and the prevalence of chronic cough attributable to smoking habits, occupational exposure to dust or gas, and residence. A total of 40 figures illustrate the methodology.

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Year:  2001        PMID: 11446147     DOI: 10.1177/096228020101000302

Source DB:  PubMed          Journal:  Stat Methods Med Res        ISSN: 0962-2802            Impact factor:   3.021


  14 in total

1.  Avoidable burden of disease: conceptual and methodological issues in substance abuse epidemiology.

Authors:  Jürgen Rehm; Benjamin Taylor; Jayadeep Patra; Gerhard Gmel
Journal:  Int J Methods Psychiatr Res       Date:  2006       Impact factor: 4.035

2.  Alcohol-attributable burden of disease and injury in Canada, 2004.

Authors:  Kevin D Shield; Tara Kehoe; Ben Taylor; Jayadeep Patra; Jürgen Rehm
Journal:  Int J Public Health       Date:  2011-04-05       Impact factor: 3.380

3.  Population-attributable fractions of Axis I and Axis II mental disorders for suicide attempts: findings from a representative sample of the adult, noninstitutionalized US population.

Authors:  James M Bolton; Jennifer Robinson
Journal:  Am J Public Health       Date:  2010-12       Impact factor: 9.308

4.  Model-Based Estimation of the Attributable Risk: A Loglinear Approach.

Authors:  Christopher Cox; Xiuhong Li
Journal:  Comput Stat Data Anal       Date:  2012-05-07       Impact factor: 1.681

5.  Determining the best population-level alcohol consumption model and its impact on estimates of alcohol-attributable harms.

Authors:  Tara Kehoe; Gerrit Gmel; Kevin D Shield; Gerhard Gmel; Jürgen Rehm
Journal:  Popul Health Metr       Date:  2012-04-10

6.  The contribution of leading diseases and risk factors to excess losses of healthy life in Eastern Europe: burden of disease study.

Authors:  John W Powles; Witold Zatonski; Stephen Vander Hoorn; Majid Ezzati
Journal:  BMC Public Health       Date:  2005-11-03       Impact factor: 3.295

7.  Beyond case fatality rate: using potential impact fraction to estimate the effect of increasing treatment uptake on mortality.

Authors:  Nicholas Mitsakakis; Harindra C Wijeysundera; Murray Krahn
Journal:  BMC Med Res Methodol       Date:  2013-09-04       Impact factor: 4.615

8.  Avoidable portion of tobacco-attributable acute care hospital days and its cost due to implementation of different intervention strategies in Canada.

Authors:  Svetlana Popova; Jayadeep Patra; Jürgen Rehm
Journal:  Int J Environ Res Public Health       Date:  2009-08-06       Impact factor: 3.390

9.  Comparative quantification of health risks conceptual framework and methodological issues.

Authors:  Christopher JL Murray; Majid Ezzati; Alan D Lopez; Anthony Rodgers; Stephen Vander Hoorn
Journal:  Popul Health Metr       Date:  2003-04-14

10.  High population attributable fractions of myocardial infarction associated with waist-hip ratio.

Authors:  Grace M Egeland; Jannicke Igland; Stein Emil Vollset; Gerhard Sulo; Geir Egil Eide; Grethe S Tell
Journal:  Obesity (Silver Spring)       Date:  2016-03-31       Impact factor: 5.002

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