Parental body mass index and maternal gestational weight gain associations with offspring body composition in young women from the Nutritionists’ Health Study
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Arquivos de Endocrinologia e Metabolismo (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972022005010204 |
Resumo: | ABSTRACT 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/m2. 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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Parental body mass index and maternal gestational weight gain associations with offspring body composition in young women from the Nutritionists’ Health StudyDOHaDbody compositionobesityparental BMIgestational weight gainABSTRACT 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/m2. 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 Metabologia2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972022005010204Archives of Endocrinology and Metabolism n.ahead 2022reponame:Arquivos de Endocrinologia e Metabolismo (Online)instname:Sociedade Brasileira de Endocrinologia e Metabologia (SBEM)instacron:SBEM10.20945/2359-3997000000516info:eu-repo/semantics/openAccessFreitas,Renata Germano Borges de Oliveira NascimentoVasques,Ana Carolina JunqueiraRibeiro,Francieli BarreiroSolar,IsabelaHanada,Alfredo ShigueoBarbosa,Marina GomesValente,Angélica Marques MartinsPititto,Bianca de AlmeidaEshriqui,IlanaLopes,Tito Lívio da CunhaGeloneze,BrunoFerreira,Sandra Roberta Gouveaeng2022-09-29T00:00:00Zoai:scielo:S2359-39972022005010204Revistahttps://www.aem-sbem.com/https://old.scielo.br/oai/scielo-oai.php||aem.editorial.office@endocrino.org.br2359-42922359-3997opendoar:2022-09-29T00:00Arquivos de Endocrinologia e Metabolismo (Online) - Sociedade Brasileira de Endocrinologia e Metabologia (SBEM)false |
dc.title.none.fl_str_mv |
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 |
spellingShingle |
Parental body mass index and maternal gestational weight gain associations with offspring body composition in young women from the Nutritionists’ Health Study Freitas,Renata Germano Borges de Oliveira Nascimento DOHaD body composition obesity parental BMI gestational weight gain |
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_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_sort |
Parental body mass index and maternal gestational weight gain associations with offspring body composition in young women from the Nutritionists’ Health Study |
author |
Freitas,Renata Germano Borges de Oliveira Nascimento |
author_facet |
Freitas,Renata Germano Borges de Oliveira Nascimento 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 Lopes,Tito Lívio da Cunha Geloneze,Bruno Ferreira,Sandra Roberta Gouvea |
author_role |
author |
author2 |
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 Lopes,Tito Lívio da Cunha Geloneze,Bruno Ferreira,Sandra Roberta Gouvea |
author2_role |
author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Freitas,Renata Germano Borges de Oliveira Nascimento 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 Lopes,Tito Lívio da Cunha Geloneze,Bruno Ferreira,Sandra Roberta Gouvea |
dc.subject.por.fl_str_mv |
DOHaD body composition obesity parental BMI gestational weight gain |
topic |
DOHaD body composition obesity parental BMI gestational weight gain |
description |
ABSTRACT 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/m2. 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. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972022005010204 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972022005010204 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.20945/2359-3997000000516 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Endocrinologia e Metabologia |
publisher.none.fl_str_mv |
Sociedade Brasileira de Endocrinologia e Metabologia |
dc.source.none.fl_str_mv |
Archives of Endocrinology and Metabolism n.ahead 2022 reponame:Arquivos de Endocrinologia e Metabolismo (Online) instname:Sociedade Brasileira de Endocrinologia e Metabologia (SBEM) instacron:SBEM |
instname_str |
Sociedade Brasileira de Endocrinologia e Metabologia (SBEM) |
instacron_str |
SBEM |
institution |
SBEM |
reponame_str |
Arquivos de Endocrinologia e Metabolismo (Online) |
collection |
Arquivos de Endocrinologia e Metabolismo (Online) |
repository.name.fl_str_mv |
Arquivos de Endocrinologia e Metabolismo (Online) - Sociedade Brasileira de Endocrinologia e Metabologia (SBEM) |
repository.mail.fl_str_mv |
||aem.editorial.office@endocrino.org.br |
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1752122519107665920 |