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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
medicine
Evaluation of Selection Bias in an Internet-based Study of Pregnancy Planners
Epidemiology, Volume 27, No. 1, Year 2016
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Description
Selection bias is a potential concern in all epidemiologic studies, but it is usually difficult to assess. Recently, concerns have been raised that internet-based prospective cohort studies may be particularly prone to selection bias. Although use of the internet is efficient and facilitates recruitment of subjects that are otherwise difficult to enroll, any compromise in internal validity would be of great concern. Few studies have evaluated selection bias in internet-based prospective cohort studies. Using data from the Danish Medical Birth Registry from 2008 to 2012, we compared six well-known perinatal associations (e.g., smoking and birth weight) in an internet-based preconception cohort (Snart Gravid n = 4,801) with the total population of singleton live births in the registry (n = 239,791). We used log-binomial models to estimate risk ratios (RRs) and 95% confidence intervals (CIs) for each association. We found that most results in both populations were very similar. For example, maternal obesity was associated with an increased risk of delivering a macrosomic infant in Snart Gravid (RR = 1.5; 95% CI: 1.2, 1.7) and the total population (RR = 1.5; 95% CI: 1.45, 1.53), and maternal smoking of >10 cigarettes per day was associated with a higher risk of low birth weight (RR = 2.7; 95% CI: 1.2, 5.9 vs. RR = 2.9; 95% CI: 2.6, 3.1) in Snart Gravid and the total population, respectively. We cannot be certain that our results would apply to other associations or different populations. Nevertheless, our results suggest that recruitment of reproductive aged women via the internet may be no more prone to selection bias than traditional methods of recruitment. Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved.
Authors & Co-Authors
Fox, Matthew P.
United States, Boston
Boston University
Brooks, Daniel R.
United States, Boston
Boston University
Sørensen, Henrik Toft
Denmark, Aarhus
Aarhus Universitetshospital
Rothman, Kenneth Jay M.
United States, Boston
Boston University
United States, Research Triangle Park
Rti Health Solutions
Statistics
Citations: 70
Authors: 4
Affiliations: 3
Identifiers
Doi:
10.1097/EDE.0000000000000400
ISSN:
10443983
Research Areas
Maternal And Child Health
Noncommunicable Diseases
Sexual And Reproductive Health
Study Design
Cross Sectional Study
Cohort Study
Participants Gender
Female