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Maternal Smoking During Pregnancy and Childhood Growth Trajectory: A Random Effects Regression Analysis
BACKGROUND: Although maternal smoking during pregnancy has been reported to have an effect on childhood overweight/obesity, the impact of maternal smoking on the trajectory of the body mass of their offspring is not very clear. Previously, we investigated this effect by using a fixed-effect model. H...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Japan Epidemiological Association
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3798597/ https://www.ncbi.nlm.nih.gov/pubmed/22277789 http://dx.doi.org/10.2188/jea.JE20110033 |
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author | Suzuki, Kohta Kondo, Naoki Sato, Miri Tanaka, Taichiro Ando, Daisuke Yamagata, Zentaro |
author_facet | Suzuki, Kohta Kondo, Naoki Sato, Miri Tanaka, Taichiro Ando, Daisuke Yamagata, Zentaro |
author_sort | Suzuki, Kohta |
collection | PubMed |
description | BACKGROUND: Although maternal smoking during pregnancy has been reported to have an effect on childhood overweight/obesity, the impact of maternal smoking on the trajectory of the body mass of their offspring is not very clear. Previously, we investigated this effect by using a fixed-effect model. However, this analysis was limited because it rounded and categorized the age of the children. Therefore, we used a random-effects hierarchical linear regression model in the present study. METHODS: The study population comprised children born between 1 April 1991 and 31 March 1999 in Koshu City, Japan and their mothers. Maternal smoking during early pregnancy was the exposure studied. The body mass index (BMI) z-score trajectory of children born to smoking and non-smoking mothers, by gender, was used as the outcome. We modeled BMI trajectory using a 2-level random intercept and slope regression. RESULTS: The participating mothers delivered 1619 babies during the study period. For male children, there was very strong evidence that the effect of age in months on the increase in BMI z-score was enhanced by maternal smoking during pregnancy (P < 0.0001). In contrast, for female children, there was only weak evidence for an interaction between age in months and maternal smoking during pregnancy (P = 0.054), which suggests that the effect of maternal smoking during pregnancy on the early-life BMI trajectory of offspring differed by gender. CONCLUSIONS: These results may be valuable for exploring the mechanism of fetal programming and might therefore be clinically important. |
format | Online Article Text |
id | pubmed-3798597 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Japan Epidemiological Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-37985972013-12-03 Maternal Smoking During Pregnancy and Childhood Growth Trajectory: A Random Effects Regression Analysis Suzuki, Kohta Kondo, Naoki Sato, Miri Tanaka, Taichiro Ando, Daisuke Yamagata, Zentaro J Epidemiol Short Communication BACKGROUND: Although maternal smoking during pregnancy has been reported to have an effect on childhood overweight/obesity, the impact of maternal smoking on the trajectory of the body mass of their offspring is not very clear. Previously, we investigated this effect by using a fixed-effect model. However, this analysis was limited because it rounded and categorized the age of the children. Therefore, we used a random-effects hierarchical linear regression model in the present study. METHODS: The study population comprised children born between 1 April 1991 and 31 March 1999 in Koshu City, Japan and their mothers. Maternal smoking during early pregnancy was the exposure studied. The body mass index (BMI) z-score trajectory of children born to smoking and non-smoking mothers, by gender, was used as the outcome. We modeled BMI trajectory using a 2-level random intercept and slope regression. RESULTS: The participating mothers delivered 1619 babies during the study period. For male children, there was very strong evidence that the effect of age in months on the increase in BMI z-score was enhanced by maternal smoking during pregnancy (P < 0.0001). In contrast, for female children, there was only weak evidence for an interaction between age in months and maternal smoking during pregnancy (P = 0.054), which suggests that the effect of maternal smoking during pregnancy on the early-life BMI trajectory of offspring differed by gender. CONCLUSIONS: These results may be valuable for exploring the mechanism of fetal programming and might therefore be clinically important. Japan Epidemiological Association 2012-03-05 /pmc/articles/PMC3798597/ /pubmed/22277789 http://dx.doi.org/10.2188/jea.JE20110033 Text en © 2012 Japan Epidemiological Association. http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Short Communication Suzuki, Kohta Kondo, Naoki Sato, Miri Tanaka, Taichiro Ando, Daisuke Yamagata, Zentaro Maternal Smoking During Pregnancy and Childhood Growth Trajectory: A Random Effects Regression Analysis |
title | Maternal Smoking During Pregnancy and Childhood Growth Trajectory: A Random Effects Regression Analysis |
title_full | Maternal Smoking During Pregnancy and Childhood Growth Trajectory: A Random Effects Regression Analysis |
title_fullStr | Maternal Smoking During Pregnancy and Childhood Growth Trajectory: A Random Effects Regression Analysis |
title_full_unstemmed | Maternal Smoking During Pregnancy and Childhood Growth Trajectory: A Random Effects Regression Analysis |
title_short | Maternal Smoking During Pregnancy and Childhood Growth Trajectory: A Random Effects Regression Analysis |
title_sort | maternal smoking during pregnancy and childhood growth trajectory: a random effects regression analysis |
topic | Short Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3798597/ https://www.ncbi.nlm.nih.gov/pubmed/22277789 http://dx.doi.org/10.2188/jea.JE20110033 |
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