Literature DB >> 11333627

[Population attributable fraction: estimation and interpretation].

J Llorca1, C Fariñas-Álvareza, M Delgado-Rodrígueza.   

Abstract

The goal of this paper is to revise the concept, estimation methods, and interpretations of the population attributable fraction. From the usual formula of the population attributable fraction: (Ip ­ I₀) / Ip, where Ip is the cumulative incidence in the overall population, and I₀ is the cumulative incidence in the non-exposed group, other formulae are presented for use in exposures with more than two levels, and in the presence of confounding factors. Differences in estimation methods between cohort and case-control studies are discussed, and equations to estimate confidence intervals are displayed. Finally, some interpretations -­including the concepts of «etiologic case» and «case in excess», suggested by Greenland and Robbins-­, and some habitual errors are discussed.

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Year:  2001        PMID: 11333627     DOI: 10.1016/s0213-9111(01)71519-1

Source DB:  PubMed          Journal:  Gac Sanit        ISSN: 0213-9111            Impact factor:   2.139


  5 in total

1.  Attributable mortality to radon exposure in Galicia, Spain. Is it necessary to act in the face of this health problem?

Authors:  Mónica Pérez-Ríos; Juan M Barros-Dios; Agustín Montes-Martínez; Alberto Ruano-Ravina
Journal:  BMC Public Health       Date:  2010-05-18       Impact factor: 3.295

2.  Medical care costs incurred by patients with smoking-related non-small cell lung cancer treated at the National Cancer Institute of Mexico.

Authors:  Oscar Arrieta; Roger Humberto Quintana-Carrillo; Gabriel Ahumada-Curiel; Jose Francisco Corona-Cruz; Elma Correa-Acevedo; Juan Zinser-Sierra; Dolores de la Mata-Moya; Alejandro Mohar-Betancourt; Vicente Morales-Oyarvide; Luz Myriam Reynales-Shigematsu
Journal:  Tob Induc Dis       Date:  2015-02-04       Impact factor: 2.600

3.  The population impact of obesity, sedentary lifestyle, and tobacco and alcohol consumption on the prevalence of type 2 diabetes: Analysis of a health population survey in Chile, 2010.

Authors:  María P Bertoglia; Juan G Gormaz; Matías Libuy; Dérgica Sanhueza; Abraham Gajardo; Andrea Srur; Magdalena Wallbaum; Marcia Erazo
Journal:  PLoS One       Date:  2017-05-25       Impact factor: 3.240

Review 4.  Methodologies used to estimate tobacco-attributable mortality: a review.

Authors:  Mónica Pérez-Ríos; Agustín Montes
Journal:  BMC Public Health       Date:  2008-01-22       Impact factor: 3.295

5.  Comparison of body mass index (BMI) with the CUN-BAE body adiposity estimator in the prediction of hypertension and type 2 diabetes.

Authors:  Vicente Martín; Verónica Dávila-Batista; Jesús Castilla; Pere Godoy; Miguel Delgado-Rodríguez; Nuria Soldevila; Antonio J Molina; Tania Fernandez-Villa; Jenaro Astray; Ady Castro; Fernando González-Candelas; José María Mayoral; José María Quintana; Angela Domínguez
Journal:  BMC Public Health       Date:  2016-01-27       Impact factor: 3.295

  5 in total

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