Literature DB >> 15613938

The impact of a prevention effort on the community.

Sholom Wacholder1.   

Abstract

Commonly used measures of the impact of an exposure on disease are inadequate for assessing the potential benefit of community-based efforts to prevent disease caused by the exposure in question. Because relative measures of effect, including the risk ratio, odds ratio, and population attributable risk (PAR) do not account for the absolute risk of disease, they lack the most crucial element for evaluating the opportunity for prevention of disease caused by the exposure. Attributable community risk (ACR), defined as the difference between the crude risk (or overall risk in the population) and the risk in the unexposed, better captures the potential impact of a prevention effort. PAR can be expressed as the proportion of the disease incidence in a population that is attributable to the exposure. ACR, by contrast, is the proportion of the population that is affected with the disease due to the exposure. Therefore, unlike PAR, risk ratio or odds ratio, ACR is useful for comparing the potential benefit of programs aimed at the prevention of different diseases. For example, ACR provides a useful comparison of the potential benefits of efforts to prevent breast cancer and to prevent ovarian cancer among women with a BRCA1 or BRCA2 mutation.

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Year:  2005        PMID: 15613938     DOI: 10.1097/01.ede.0000147633.09891.16

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


  18 in total

1.  A population-based study of human papillomavirus genotype prevalence in the United States: baseline measures prior to mass human papillomavirus vaccination.

Authors:  Cosette M Wheeler; William C Hunt; Jack Cuzick; Erika Langsfeld; Amanda Pearse; George D Montoya; Michael Robertson; Catherine A Shearman; Philip E Castle
Journal:  Int J Cancer       Date:  2012-06-20       Impact factor: 7.396

2.  Invited commentary: the importance of prevalence in the effectiveness of a (bio)marker.

Authors:  Arpita Ghosh; Philip E Castle
Journal:  Am J Epidemiol       Date:  2011-05-13       Impact factor: 4.897

3.  Invited commentary: How big is that interaction (in my community)--and in which direction?

Authors:  Orestis A Panagiotou; Sholom Wacholder
Journal:  Am J Epidemiol       Date:  2014-11-13       Impact factor: 4.897

4.  From exposures to population interventions: pregnancy and response to HIV therapy.

Authors:  Daniel Westreich
Journal:  Am J Epidemiol       Date:  2014-02-25       Impact factor: 4.897

Review 5.  What matters most: quantifying an epidemiology of consequence.

Authors:  Katherine Keyes; Sandro Galea
Journal:  Ann Epidemiol       Date:  2015-02-07       Impact factor: 3.797

6.  Precursors in cancer epidemiology: aligning definition and function.

Authors:  Sholom Wacholder
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-04       Impact factor: 4.254

7.  Increased lung cancer risk among bricklayers in an Italian population-based case-control study.

Authors:  Dario Consonni; Sara De Matteis; Angela C Pesatori; Andrea Cattaneo; Domenico M Cavallo; Jay H Lubin; Margaret Tucker; Pier Alberto Bertazzi; Neil E Caporaso; Sholom Wacholder; Maria Teresa Landi
Journal:  Am J Ind Med       Date:  2012-02-01       Impact factor: 2.214

8.  Reduction in diarrhoeal rates through interventions that prevent unnecessary antibiotic exposure early in life in an observational birth cohort.

Authors:  Elizabeth T Rogawski; Steven R Meshnick; Sylvia Becker-Dreps; Linda S Adair; Robert S Sandler; Rajiv Sarkar; Deepthi Kattula; Honorine D Ward; Gagandeep Kang; Daniel J Westreich
Journal:  J Epidemiol Community Health       Date:  2015-11-30       Impact factor: 3.710

Review 9.  Telomerase reverse transcriptase locus polymorphisms and cancer risk: a field synopsis and meta-analysis.

Authors:  Simone Mocellin; Daunia Verdi; Karen A Pooley; Maria T Landi; Kathleen M Egan; Duncan M Baird; Jennifer Prescott; Immaculata De Vivo; Donato Nitti
Journal:  J Natl Cancer Inst       Date:  2012-04-20       Impact factor: 13.506

10.  Cardiovascular health and particulate vehicular emissions: a critical evaluation of the evidence.

Authors:  Thomas J Grahame; Richard B Schlesinger
Journal:  Air Qual Atmos Health       Date:  2009-06-30       Impact factor: 3.763

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