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Parental body mass index and maternal gestational weight gain associations with offspring body composition in young women from the Nutritionists’ Health Study

OBJECTIVE: Intrauterine environment can induce fetal metabolic programming that predisposes to adiposity-related chronic diseases in its lifespan. We examined the associations of parental nutritional status and gestational weight gain with offspring body composition in early adulthood. MATERIALS AND...

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Autores principales: Renata Germano Borges de Oliveira Nascimento, Freitas, Vasques, Ana Carolina Junqueira, Ribeiro, Francieli Barreiro, Solar, Isabela, Hanada, Alfredo Shigueo, Barbosa, Marina Gomes, Valente, Angélica Marques Martins, Pititto, Bianca de Almeida, Eshriqui, Ilana, da Cunha Lopes, Tito Lívio, Geloneze, Bruno, Ferreira, Sandra Roberta Gouvea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Endocrinologia e Metabologia 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9983792/
https://www.ncbi.nlm.nih.gov/pubmed/36155122
http://dx.doi.org/10.20945/2359-3997000000516
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author Renata Germano Borges de Oliveira Nascimento, Freitas
Vasques, Ana Carolina Junqueira
Ribeiro, Francieli Barreiro
Solar, Isabela
Hanada, Alfredo Shigueo
Barbosa, Marina Gomes
Valente, Angélica Marques Martins
Pititto, Bianca de Almeida
Eshriqui, Ilana
da Cunha Lopes, Tito Lívio
Geloneze, Bruno
Ferreira, Sandra Roberta Gouvea
author_facet Renata Germano Borges de Oliveira Nascimento, Freitas
Vasques, Ana Carolina Junqueira
Ribeiro, Francieli Barreiro
Solar, Isabela
Hanada, Alfredo Shigueo
Barbosa, Marina Gomes
Valente, Angélica Marques Martins
Pititto, Bianca de Almeida
Eshriqui, Ilana
da Cunha Lopes, Tito Lívio
Geloneze, Bruno
Ferreira, Sandra Roberta Gouvea
author_sort Renata Germano Borges de Oliveira Nascimento, Freitas
collection PubMed
description OBJECTIVE: Intrauterine environment can induce fetal metabolic programming that predisposes to adiposity-related chronic diseases in its lifespan. We examined the associations of parental nutritional status and gestational weight gain with offspring body composition in early adulthood. MATERIALS AND METHODS: This is cross-sectional analysis of female participants of the NutriHS who were submitted to questionnaires, clinical examinations and body composition assessed by DXA. Association of pre-conception parental BMI and maternal gestational weight gain (exposures) with body composition measurements (outcomes) were analyzed using multiple linear models adjusted for Directed Acyclic Graphs-based covariables (maternal and paternal educational level, maternal age, and tobacco, alcohol and/or drugs use). The sample included 124 women (median 28 (24-31) years) with a mean BMI of 25.4 ± 4.7 kg/m(2). RESULTS: No association between previous paternal BMI and offspring’s body composition was detected. In the fully adjusted linear regression model, maternal BMI was associated with offspring’s total lean mass (β = 0.66, p = 0.001), appendicular skeletal muscle mass index (ASMI) (β = 0.11, p = 0.003) and fat mass index (FMI) (β = 0.03, p = 0.039). Gestational weight gain was associated with increased offspring’s BMI (OR 1.12 [95% CI 1.02-1.20], p = 0.01). The linear regression model adjusted for maternal age and maternal and paternal education levels showed associations of gestational weight gain with offspring’s ASMI (β = 0.42, p = 0.046), FMI (β = 0.22, p = 0.005) and android-to-gynoid fat ratio (β = 0.09, p = 0.035). CONCLUSION: Our findings suggest that preconception maternal BMI could influence lean mass and general adiposity of young adult female offspring and that gestational weight gain could be useful for predicting centrally distributed adiposity.
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spelling pubmed-99837922023-03-14 Parental body mass index and maternal gestational weight gain associations with offspring body composition in young women from the Nutritionists’ Health Study Renata Germano Borges de Oliveira Nascimento, Freitas Vasques, Ana Carolina Junqueira Ribeiro, Francieli Barreiro Solar, Isabela Hanada, Alfredo Shigueo Barbosa, Marina Gomes Valente, Angélica Marques Martins Pititto, Bianca de Almeida Eshriqui, Ilana da Cunha Lopes, Tito Lívio Geloneze, Bruno Ferreira, Sandra Roberta Gouvea Arch Endocrinol Metab Original Article OBJECTIVE: Intrauterine environment can induce fetal metabolic programming that predisposes to adiposity-related chronic diseases in its lifespan. We examined the associations of parental nutritional status and gestational weight gain with offspring body composition in early adulthood. MATERIALS AND METHODS: This is cross-sectional analysis of female participants of the NutriHS who were submitted to questionnaires, clinical examinations and body composition assessed by DXA. Association of pre-conception parental BMI and maternal gestational weight gain (exposures) with body composition measurements (outcomes) were analyzed using multiple linear models adjusted for Directed Acyclic Graphs-based covariables (maternal and paternal educational level, maternal age, and tobacco, alcohol and/or drugs use). The sample included 124 women (median 28 (24-31) years) with a mean BMI of 25.4 ± 4.7 kg/m(2). RESULTS: No association between previous paternal BMI and offspring’s body composition was detected. In the fully adjusted linear regression model, maternal BMI was associated with offspring’s total lean mass (β = 0.66, p = 0.001), appendicular skeletal muscle mass index (ASMI) (β = 0.11, p = 0.003) and fat mass index (FMI) (β = 0.03, p = 0.039). Gestational weight gain was associated with increased offspring’s BMI (OR 1.12 [95% CI 1.02-1.20], p = 0.01). The linear regression model adjusted for maternal age and maternal and paternal education levels showed associations of gestational weight gain with offspring’s ASMI (β = 0.42, p = 0.046), FMI (β = 0.22, p = 0.005) and android-to-gynoid fat ratio (β = 0.09, p = 0.035). CONCLUSION: Our findings suggest that preconception maternal BMI could influence lean mass and general adiposity of young adult female offspring and that gestational weight gain could be useful for predicting centrally distributed adiposity. Sociedade Brasileira de Endocrinologia e Metabologia 2022-09-20 /pmc/articles/PMC9983792/ /pubmed/36155122 http://dx.doi.org/10.20945/2359-3997000000516 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
Renata Germano Borges de Oliveira Nascimento, Freitas
Vasques, Ana Carolina Junqueira
Ribeiro, Francieli Barreiro
Solar, Isabela
Hanada, Alfredo Shigueo
Barbosa, Marina Gomes
Valente, Angélica Marques Martins
Pititto, Bianca de Almeida
Eshriqui, Ilana
da Cunha Lopes, Tito Lívio
Geloneze, Bruno
Ferreira, Sandra Roberta Gouvea
Parental body mass index and maternal gestational weight gain associations with offspring body composition in young women from the Nutritionists’ Health Study
title Parental body mass index and maternal gestational weight gain associations with offspring body composition in young women from the Nutritionists’ Health Study
title_full Parental body mass index and maternal gestational weight gain associations with offspring body composition in young women from the Nutritionists’ Health Study
title_fullStr Parental body mass index and maternal gestational weight gain associations with offspring body composition in young women from the Nutritionists’ Health Study
title_full_unstemmed Parental body mass index and maternal gestational weight gain associations with offspring body composition in young women from the Nutritionists’ Health Study
title_short Parental body mass index and maternal gestational weight gain associations with offspring body composition in young women from the Nutritionists’ Health Study
title_sort parental body mass index and maternal gestational weight gain associations with offspring body composition in young women from the nutritionists’ health study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9983792/
https://www.ncbi.nlm.nih.gov/pubmed/36155122
http://dx.doi.org/10.20945/2359-3997000000516
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