Dataset Information

Methods for the Selection of Covariates in Nutritional Epidemiology Studies: A Meta-Epidemiological Review.

ABSTRACT:

Background

Observational studies provide important information about the effects of exposures that cannot be easily studied in clinical trials, such as nutritional exposures, but are subject to confounding. Investigators adjust for confounders by entering them as covariates in analytic models.

Objective

The aim of this study was to evaluate the reporting and credibility of methods for selection of covariates in nutritional epidemiology studies.

Methods

We sampled 150 nutritional epidemiology studies published in 2007/2008 and 2017/2018 from the top 5 high-impact nutrition and medical journals and extracted information on methods for selection of covariates.

Results

Most studies did not report selecting covariates a priori (94.0%) or criteria for selection of covariates (63.3%). There was general inconsistency in choice of covariates, even among studies investigating similar questions. One-third of studies did not acknowledge potential for residual confounding in their discussion.

Conclusion

Studies often do not report methods for selection of covariates, follow available guidance for selection of covariates, nor discuss potential for residual confounding.

SUBMITTER: Zeraatkar D

PROVIDER: S-EPMC6778415 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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Publications

Methods for the Selection of Covariates in Nutritional Epidemiology Studies: A Meta-Epidemiological Review.

Zeraatkar Dena D Cheung Kevin K Milio Kirolos K Zworth Max M Gupta Arnav A Bhasin Arrti A Bartoszko Jessica J JJ Kiflen Michel M Morassut Rita E RE Noor Salmi T ST Lawson Daeria O DO Johnston Bradley C BC Bangdiwala Shrikant I SI de Souza Russell J RJ

Current developments in nutrition 20190917 10

<h4>Background</h4>Observational studies provide important information about the effects of exposures that cannot be easily studied in clinical trials, such as nutritional exposures, but are subject to confounding. Investigators adjust for confounders by entering them as covariates in analytic models.<h4>Objective</h4>The aim of this study was to evaluate the reporting and credibility of methods for selection of covariates in nutritional epidemiology studies.<h4>Methods</h4>We sampled 150 nutrit ...[more]

PMID: 31598577

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Dataset Information

Methods for the Selection of Covariates in Nutritional Epidemiology Studies: A Meta-Epidemiological Review.

Background

Objective

Methods

Results

Conclusion

Publications

Methods for the Selection of Covariates in Nutritional Epidemiology Studies: A Meta-Epidemiological Review.

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