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On the use of the outcome variable “small for gestational age” when gestational age is a potential mediator: a maternal asthma perspective
BACKGROUND: The variable “small for gestational age,” frequently defined as birth weight below the 10th percentile in a gestational age and sex-normalized population, is nowadays generally perceived as a more adequate measure than birth weight or low birth weight (birth weight < 2500 g) to captur...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5725795/ https://www.ncbi.nlm.nih.gov/pubmed/29228913 http://dx.doi.org/10.1186/s12874-017-0444-z |
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author | Lefebvre, Geneviève Samoilenko, Mariia |
author_facet | Lefebvre, Geneviève Samoilenko, Mariia |
author_sort | Lefebvre, Geneviève |
collection | PubMed |
description | BACKGROUND: The variable “small for gestational age,” frequently defined as birth weight below the 10th percentile in a gestational age and sex-normalized population, is nowadays generally perceived as a more adequate measure than birth weight or low birth weight (birth weight < 2500 g) to capture fetal growth. However, the use of small for gestational age rather than birth weight or low birth weight as an outcome (dependent) variable may have important impacts on the interpretation of analyses aimed at estimating the causal effect of an exposure of interest on infants. We hypothesized potential differences in both types of effects estimated (direct or total) and in ability to control for confounding bias. METHODS: We first examined the use of outcome variables birth weight and small for gestational age to get insights on modeling practices within the field of maternal asthma. Using directed acyclic graph simulations where gestational age was a potential mediator, we then compared estimated exposure effects in regression models for birth weight, low birth weight, and small for gestational age. Graphs with and without confounding were considered. RESULTS: Our simulations showed that the variable small for gestational age captures the direct effect of exposure on birth weight, but not the indirect effect of exposure on birth weight through gestational age. Interestingly, exposure effect estimates from small for gestational age models were found unbiased whenever exposure effect estimates from birth weight models were affected by collider bias due to conditioning on gestational age in the models. CONCLUSIONS: The sole consideration of the outcome small for gestational age in a study may lead to suboptimal understanding and quantification of the underlying effect of an exposure on birth weight-related measures. Instead, our results suggest that both outcome variables (low) birth weight and small for gestational age should minimally be considered in studies investigating perinatal outcomes. |
format | Online Article Text |
id | pubmed-5725795 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-57257952017-12-13 On the use of the outcome variable “small for gestational age” when gestational age is a potential mediator: a maternal asthma perspective Lefebvre, Geneviève Samoilenko, Mariia BMC Med Res Methodol Research Article BACKGROUND: The variable “small for gestational age,” frequently defined as birth weight below the 10th percentile in a gestational age and sex-normalized population, is nowadays generally perceived as a more adequate measure than birth weight or low birth weight (birth weight < 2500 g) to capture fetal growth. However, the use of small for gestational age rather than birth weight or low birth weight as an outcome (dependent) variable may have important impacts on the interpretation of analyses aimed at estimating the causal effect of an exposure of interest on infants. We hypothesized potential differences in both types of effects estimated (direct or total) and in ability to control for confounding bias. METHODS: We first examined the use of outcome variables birth weight and small for gestational age to get insights on modeling practices within the field of maternal asthma. Using directed acyclic graph simulations where gestational age was a potential mediator, we then compared estimated exposure effects in regression models for birth weight, low birth weight, and small for gestational age. Graphs with and without confounding were considered. RESULTS: Our simulations showed that the variable small for gestational age captures the direct effect of exposure on birth weight, but not the indirect effect of exposure on birth weight through gestational age. Interestingly, exposure effect estimates from small for gestational age models were found unbiased whenever exposure effect estimates from birth weight models were affected by collider bias due to conditioning on gestational age in the models. CONCLUSIONS: The sole consideration of the outcome small for gestational age in a study may lead to suboptimal understanding and quantification of the underlying effect of an exposure on birth weight-related measures. Instead, our results suggest that both outcome variables (low) birth weight and small for gestational age should minimally be considered in studies investigating perinatal outcomes. BioMed Central 2017-12-11 /pmc/articles/PMC5725795/ /pubmed/29228913 http://dx.doi.org/10.1186/s12874-017-0444-z Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Lefebvre, Geneviève Samoilenko, Mariia On the use of the outcome variable “small for gestational age” when gestational age is a potential mediator: a maternal asthma perspective |
title | On the use of the outcome variable “small for gestational age” when gestational age is a potential mediator: a maternal asthma perspective |
title_full | On the use of the outcome variable “small for gestational age” when gestational age is a potential mediator: a maternal asthma perspective |
title_fullStr | On the use of the outcome variable “small for gestational age” when gestational age is a potential mediator: a maternal asthma perspective |
title_full_unstemmed | On the use of the outcome variable “small for gestational age” when gestational age is a potential mediator: a maternal asthma perspective |
title_short | On the use of the outcome variable “small for gestational age” when gestational age is a potential mediator: a maternal asthma perspective |
title_sort | on the use of the outcome variable “small for gestational age” when gestational age is a potential mediator: a maternal asthma perspective |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5725795/ https://www.ncbi.nlm.nih.gov/pubmed/29228913 http://dx.doi.org/10.1186/s12874-017-0444-z |
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