Literature DB >> 11845097

[Selection effects in epidemiological cohorts: nature, causes and consequences].

M Goldberg1, D Luce.   

Abstract

Selection effects in cohort studies occur when the population observed over time differs from the target population due to the inclusion or follow-up of the subjects. Selection effects may bias the estimation of the frequency of the disease and of the exposure of interest, or the estimation of the association between disease and exposure. In industrial cohorts, where subjects are not volunteers, the reasons why they were hired and they stay working in a company are often linked with lifestyle factors or health problems that can be associated with the diseases or the exposures of interest. This phenomenon is known as the "healthy worker effect". When the cohort includes volunteers, other selection effects associated with the reasons why the individuals participate in the study and stay in the cohort may occur. The time course of both exposure of interest and health status during follow-up may also be associated with the probability of staying in the cohort. We describe the main components of the various selection effects associated with inclusion of the subjects at baseline, with their follow-up during the observation of the cohort, and we examine the main components of the selection effects and their consequences.

Mesh:

Year:  2001        PMID: 11845097

Source DB:  PubMed          Journal:  Rev Epidemiol Sante Publique        ISSN: 0398-7620            Impact factor:   1.019


  6 in total

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Authors:  Matthieu Carton; Sophie Bonnaud; Mélissa Nachtigal; Angel Serrano; Claudette Carole; Sébastien Bonenfant; Dominique Coste; Patrick Lepinay; Brigitte Varsat; Bertrand Wadoux; Marie Zins; Marcel Goldberg
Journal:  Epidemiol Prev       Date:  2011 Sep-Dec       Impact factor: 1.901

2.  Risk factors for episodic neck pain in workers: a 5-year prospective study of a general working population.

Authors:  Audrey Petit; Julie Bodin; Angélique Delarue; Alexis D'Escatha; Natacha Fouquet; Yves Roquelaure
Journal:  Int Arch Occup Environ Health       Date:  2017-11-10       Impact factor: 3.015

3.  Predicting early mortality among elderly patients hospitalised in medical wards via emergency department: the SAFES cohort study.

Authors:  M Drame; N Jovenin; J L Novella; P O Lang; D Somme; I Laniece; T Voisin; P Blanc; P Couturier; J B Gauvain; F Blanchard; D Jolly
Journal:  J Nutr Health Aging       Date:  2008-10       Impact factor: 4.075

4.  Sociodemographic, clinical, and psychological factors associated with attrition in a prospective study of cardiovascular prevention: the Heart Strategies Concentrating on Risk Evaluation study.

Authors:  Claudia E Bambs; Kevin E Kip; Suresh R Mulukutla; Aryan N Aiyer; Cheryl Johnson; Lee Ann McDowell; Karen Matthews; Steven E Reis
Journal:  Ann Epidemiol       Date:  2013-03-25       Impact factor: 3.797

5.  The CONSTANCES cohort: an open epidemiological laboratory.

Authors:  Marie Zins; Sébastien Bonenfant; Matthieu Carton; Mireille Coeuret-Pellicer; Alice Guéguen; Julie Gourmelen; Mélissa Nachtigal; Anna Ozguler; Ariane Quesnot; Céline Ribet; Grégory Rodrigues; Angel Serrano; Rémi Sitta; Alain Brigand; Joseph Henny; Marcel Goldberg
Journal:  BMC Public Health       Date:  2010-08-12       Impact factor: 3.295

6.  The French CONSTANCES population-based cohort: design, inclusion and follow-up.

Authors:  Marie Zins; Marcel Goldberg
Journal:  Eur J Epidemiol       Date:  2015-10-31       Impact factor: 8.082

  6 in total

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