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Birth weight and bone mineral density at 18–19 years: birth cohort 1997–1998
OBJECTIVE: To analyze the association between birth weight and bone mineral density (BMD) in adolescence. METHODS: A birth cohort study in São Luís, Maranhão, using data from two moments: at birth and at 18–19 years. Exposure was the birth weight in grams, continuously analyzed. The outcome was BMD,...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Faculdade de Saúde Pública da Universidade de São Paulo
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10118403/ https://www.ncbi.nlm.nih.gov/pubmed/37075393 http://dx.doi.org/10.11606/s1518-8787.2023057004179 |
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author | Araújo, Allanne Pereira Barbosa, Janaina Maiana Abreu de Carvalho, Carolina Abreu Viola, Poliana Cristina de Almeida Fonseca Ribeiro, Cecilia Claudia Costa Batista, Rosangela Fernandes Lucena Simões, Vanda Maria Ferreira |
author_facet | Araújo, Allanne Pereira Barbosa, Janaina Maiana Abreu de Carvalho, Carolina Abreu Viola, Poliana Cristina de Almeida Fonseca Ribeiro, Cecilia Claudia Costa Batista, Rosangela Fernandes Lucena Simões, Vanda Maria Ferreira |
author_sort | Araújo, Allanne Pereira |
collection | PubMed |
description | OBJECTIVE: To analyze the association between birth weight and bone mineral density (BMD) in adolescence. METHODS: A birth cohort study in São Luís, Maranhão, using data from two moments: at birth and at 18–19 years. Exposure was the birth weight in grams, continuously analyzed. The outcome was BMD, using the Z-score index (whole body) measured by double X-ray densitometry (Dexa). A theoretical model was constructed in acyclic graphs to identify the minimum set of adjustment variables – household income, the mother knowing how to read and write at the time of birth, prenatal care, tobacco use during pregnancy, and parity — to evaluate the association between birth weight and bone mineral density in adolescence. Multiple linear regression was used in Stata 14.0 software. A 5% significance level was adopted. RESULTS: From 2,112 adolescents, 8.2% had low birth weight and 2.8% had a low BMD for their age. The mean full-body Z-score was 0.19 (± 1.00). The highest birth weight was directly and linearly associated with BMD values in adolescence (Coef.: 0.10; 95%CI: 0.02–0.18), even after adjustment for the variables household income (Coef.: -0.33; 95%CI: -0.66–0.33) and the mother knowing how to read and write (Coef.: 0.23%; 95%CI: 0.03–0.43). CONCLUSION: Although after adjusting the variables the association attenuated, birth weight positively and linearly relates to BMD in adolescence. |
format | Online Article Text |
id | pubmed-10118403 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Faculdade de Saúde Pública da Universidade de São Paulo |
record_format | MEDLINE/PubMed |
spelling | pubmed-101184032023-04-21 Birth weight and bone mineral density at 18–19 years: birth cohort 1997–1998 Araújo, Allanne Pereira Barbosa, Janaina Maiana Abreu de Carvalho, Carolina Abreu Viola, Poliana Cristina de Almeida Fonseca Ribeiro, Cecilia Claudia Costa Batista, Rosangela Fernandes Lucena Simões, Vanda Maria Ferreira Rev Saude Publica Original Article OBJECTIVE: To analyze the association between birth weight and bone mineral density (BMD) in adolescence. METHODS: A birth cohort study in São Luís, Maranhão, using data from two moments: at birth and at 18–19 years. Exposure was the birth weight in grams, continuously analyzed. The outcome was BMD, using the Z-score index (whole body) measured by double X-ray densitometry (Dexa). A theoretical model was constructed in acyclic graphs to identify the minimum set of adjustment variables – household income, the mother knowing how to read and write at the time of birth, prenatal care, tobacco use during pregnancy, and parity — to evaluate the association between birth weight and bone mineral density in adolescence. Multiple linear regression was used in Stata 14.0 software. A 5% significance level was adopted. RESULTS: From 2,112 adolescents, 8.2% had low birth weight and 2.8% had a low BMD for their age. The mean full-body Z-score was 0.19 (± 1.00). The highest birth weight was directly and linearly associated with BMD values in adolescence (Coef.: 0.10; 95%CI: 0.02–0.18), even after adjustment for the variables household income (Coef.: -0.33; 95%CI: -0.66–0.33) and the mother knowing how to read and write (Coef.: 0.23%; 95%CI: 0.03–0.43). CONCLUSION: Although after adjusting the variables the association attenuated, birth weight positively and linearly relates to BMD in adolescence. Faculdade de Saúde Pública da Universidade de São Paulo 2023-03-15 /pmc/articles/PMC10118403/ /pubmed/37075393 http://dx.doi.org/10.11606/s1518-8787.2023057004179 Text en https://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Araújo, Allanne Pereira Barbosa, Janaina Maiana Abreu de Carvalho, Carolina Abreu Viola, Poliana Cristina de Almeida Fonseca Ribeiro, Cecilia Claudia Costa Batista, Rosangela Fernandes Lucena Simões, Vanda Maria Ferreira Birth weight and bone mineral density at 18–19 years: birth cohort 1997–1998 |
title | Birth weight and bone mineral density at 18–19 years: birth cohort 1997–1998 |
title_full | Birth weight and bone mineral density at 18–19 years: birth cohort 1997–1998 |
title_fullStr | Birth weight and bone mineral density at 18–19 years: birth cohort 1997–1998 |
title_full_unstemmed | Birth weight and bone mineral density at 18–19 years: birth cohort 1997–1998 |
title_short | Birth weight and bone mineral density at 18–19 years: birth cohort 1997–1998 |
title_sort | birth weight and bone mineral density at 18–19 years: birth cohort 1997–1998 |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10118403/ https://www.ncbi.nlm.nih.gov/pubmed/37075393 http://dx.doi.org/10.11606/s1518-8787.2023057004179 |
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