Literature DB >> 16339049

Reporting participation in epidemiologic studies: a survey of practice.

Lindsay M Morton1, Jack Cahill, Patricia Hartge.   

Abstract

Self-selection bias may threaten the internal validity of epidemiologic studies. Studies with a low level of participation are particularly vulnerable to this bias, and commentators note apparent declines in participation in recent years. The authors therefore conducted a retrospective review to survey the practice of reporting participation in epidemiologic studies, to assess changes in participation over time, and to evaluate the impact of increased biologic specimen collection on participation. The authors abstracted selected study characteristics from 355 peer-reviewed, original, analytic-epidemiology research articles published from January 1 to April 30, 2003, in 10 high-impact general epidemiology, public health, and medical journals. At least some information regarding participation was provided in 59% of cross-sectional studies, 44% of case-control studies, and 32% of cohort studies. Participation appears to have declined during 1970-2003 for all study designs. Participation declined most steeply for controls in population-based, case-control studies (-1.86% per year, 95% confidence interval: -3.03, -0.69), with steeper declines after 1990. Proportionately more studies collected biologic specimens over time, particularly for cohort and case-control study designs (p(trend) = 0.06 and 0.03, respectively), yet participation was reported separately for the biologic specimen study component in only 27% of studies. The authors conclude that epidemiologists need to address declining participation and to report participation consistently, including for biologic specimen collection.

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Mesh:

Year:  2005        PMID: 16339049     DOI: 10.1093/aje/kwj036

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  216 in total

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4.  Prehypertension, racial prevalence and its association with risk factors: Analysis of the REasons for Geographic And Racial Differences in Stroke (REGARDS) study.

Authors:  Stephen P Glasser; Suzanne Judd; Jan Basile; Dan Lackland; Jewell Halanych; Mary Cushman; Ronald Prineas; Virginia Howard; George Howard
Journal:  Am J Hypertens       Date:  2010-09-23       Impact factor: 2.689

5.  Birth order and risk of non-hodgkin lymphoma--true association or bias?

Authors:  Andrew E Grulich; Claire M Vajdic; Michael O Falster; Eleanor Kane; Karin Ekstrom Smedby; Paige M Bracci; Silvia de Sanjose; Nikolaus Becker; Jenny Turner; Otoniel Martinez-Maza; Mads Melbye; Eric A Engels; Paolo Vineis; Adele Seniori Costantini; Elizabeth A Holly; John J Spinelli; Carlo La Vecchia; Tongzhang Zheng; Brian C H Chiu; Silvia Franceschi; Pierluigi Cocco; Marc Maynadié; Lenka Foretova; Anthony Staines; Paul Brennan; Scott Davis; Richard K Severson; James R Cerhan; Elizabeth C Breen; Brenda Birmann; Wendy Cozen
Journal:  Am J Epidemiol       Date:  2010-08-18       Impact factor: 4.897

6.  The relation between size at birth and risk of type 1 diabetes is not influenced by adjustment for the insulin gene (-23HphI) polymorphism or HLA-DQ genotype.

Authors:  L C Stene; P M Thorsby; J P Berg; K S Rønningen; D E Undlien; G Joner
Journal:  Diabetologia       Date:  2006-05-12       Impact factor: 10.122

7.  Employment Status and Mental Health: Mediating Roles of Social Support and Coping Strategies.

Authors:  Michel Perreault; El Hadj Touré; Nicole Perreault; Jean Caron
Journal:  Psychiatr Q       Date:  2017-09

8.  What do transplant physicians think about palliative care? A national survey study.

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Journal:  Cancer       Date:  2018-10-05       Impact factor: 6.860

9.  Vegetables- and antioxidant-related nutrients, genetic susceptibility, and non-Hodgkin lymphoma risk.

Authors:  Linda E Kelemen; Sophia S Wang; Unhee Lim; Wendy Cozen; Maryjean Schenk; Patricia Hartge; Yan Li; Nathaniel Rothman; Scott Davis; Stephen J Chanock; Mary H Ward; James R Cerhan
Journal:  Cancer Causes Control       Date:  2008-01-17       Impact factor: 2.506

10.  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

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