Edited by: Bodo Niggemann
Confounding and effect modification in studies of diet and childhood asthma and allergies
Version of Record online: 19 JUN 2012
© 2012 John Wiley & Sons A/S
Volume 67, Issue 8, pages 1041–1059, August 2012
How to Cite
To cite this article: Nurmatov U, Nwaru BI, Devereux G, Sheikh A. Confounding and effect modification in studies of diet and childhood asthma and allergies. Allergy 2012; DOI: 10.1111/j.1398-9995.2012.02858.x.
- Issue online: 12 JUL 2012
- Version of Record online: 19 JUN 2012
- Manuscript Accepted: 8 MAY 2012
- Chief Scientist's Office of the Scottish Government
Vol. 70, Issue 4, 465, Version of Record online: 26 MAR 2015
- effect modification
To propose a comprehensive set of confounders and effect modifiers that should be considered in epidemiologic investigations.
Two reviewers independently critiqued studies included in a recent systematic review and extracted data on the confounders and effect modifiers that were considered and the approaches used to justify inclusion.
Of the 62 studies reviewed, 20 were cohort, 16 case–control, 25 cross-sectional studies, and one ecologic study. All cohort, cross-sectional, and ecologic studies had some adjustment for confounding or consideration of effect modification, but this was only the case for 7/16 (44%) case–control studies. Of the 53 studies that considered confounding or effect modification, 39/53 (74%) gave no justification for the inclusion of the variables considered. Studies that justified the inclusion of the variables did so based on empirical evidence (n = 10), conceptual justification (n = 7), or a combination of the two (n = 3). Confounding was handled mainly by using regression modeling, but some case–control studies utilized matching and anova. Ten studies handled effect modification by stratification, eight tested for interaction, and five used both strategies.
We have found substantial shortcomings in the handling of confounding and effect modification in studies of diet and development of childhood asthma/allergies. Selection of variables should be based on conceptual considerations and empirical evidence. Using this approach, we have proposed a comprehensive set of confounders and effect modifiers that need to be considered in future studies.