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Body mass index trajectories from adolescent to young adult for incident high blood pressure and high plasma glucose

OBJECTIVES: To explore the association between sex-specific adiposity trajectories among Adolescents to early adulthood with incident high blood pressure (HBP) and high plasma glucose (HPG). METHODS: We studied body mass index (BMI) trajectories among1159 (male = 517) and 664 (male = 263) Iranian ad...

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Autores principales: Ahanchi, Noushin Sadat, Ramezankhani, Azra, Munthali, Richard J., Asgari, Samaneh, Azizi, Fereidoun, Hadaegh, Farzad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6493705/
https://www.ncbi.nlm.nih.gov/pubmed/31042715
http://dx.doi.org/10.1371/journal.pone.0213828
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author Ahanchi, Noushin Sadat
Ramezankhani, Azra
Munthali, Richard J.
Asgari, Samaneh
Azizi, Fereidoun
Hadaegh, Farzad
author_facet Ahanchi, Noushin Sadat
Ramezankhani, Azra
Munthali, Richard J.
Asgari, Samaneh
Azizi, Fereidoun
Hadaegh, Farzad
author_sort Ahanchi, Noushin Sadat
collection PubMed
description OBJECTIVES: To explore the association between sex-specific adiposity trajectories among Adolescents to early adulthood with incident high blood pressure (HBP) and high plasma glucose (HPG). METHODS: We studied body mass index (BMI) trajectories among1159 (male = 517) and 664 (male = 263) Iranian adolescents, aged 12–20 years, for incident HPG and HBP, respectively. Latent Class Growth Mixture Modeling (LCGMM) on longitudinal data was used to determine sex-specific and distinct BMI trajectories. Logistic regressions were applied to estimate the relationship between latent class membership with HBP and HPG, considering normal trajectory as the reference. RESULTS: For both HBP and HPG, LCGMM determined two and three distinct BMI trajectories in males and females, respectively. During a follow-up of 12Years 104 (male = 62) and 111(male = 59) cases of HPG and HBP were found, respectively. Among females, faster BMI increases (i.e. overweight to early obese trajectory) but not overweight (i.e. those with BMI = 27.3 kg/m(2) at baseline) trajectories increased the risk of HPG by adjusted odds ratios (ORs), 2.74 (1.10–5.80) and 0.79 (0.22–2.82), respectively; regarding HBP, the corresponding value for overweight to late obese trajectory was 3.72 (1.37–11.02). Among males, for HBP, the overweight trajectory increased the risk [2.09 (1.04–4.03)]; however, for incident HPG, none of the trajectories showed significant risk. CONCLUSIONS: Among females, trend of increasing BMI parallel with age can be a better predictor for risk of developing HPG and HBP than those with higher BMI at baseline.
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spelling pubmed-64937052019-05-17 Body mass index trajectories from adolescent to young adult for incident high blood pressure and high plasma glucose Ahanchi, Noushin Sadat Ramezankhani, Azra Munthali, Richard J. Asgari, Samaneh Azizi, Fereidoun Hadaegh, Farzad PLoS One Research Article OBJECTIVES: To explore the association between sex-specific adiposity trajectories among Adolescents to early adulthood with incident high blood pressure (HBP) and high plasma glucose (HPG). METHODS: We studied body mass index (BMI) trajectories among1159 (male = 517) and 664 (male = 263) Iranian adolescents, aged 12–20 years, for incident HPG and HBP, respectively. Latent Class Growth Mixture Modeling (LCGMM) on longitudinal data was used to determine sex-specific and distinct BMI trajectories. Logistic regressions were applied to estimate the relationship between latent class membership with HBP and HPG, considering normal trajectory as the reference. RESULTS: For both HBP and HPG, LCGMM determined two and three distinct BMI trajectories in males and females, respectively. During a follow-up of 12Years 104 (male = 62) and 111(male = 59) cases of HPG and HBP were found, respectively. Among females, faster BMI increases (i.e. overweight to early obese trajectory) but not overweight (i.e. those with BMI = 27.3 kg/m(2) at baseline) trajectories increased the risk of HPG by adjusted odds ratios (ORs), 2.74 (1.10–5.80) and 0.79 (0.22–2.82), respectively; regarding HBP, the corresponding value for overweight to late obese trajectory was 3.72 (1.37–11.02). Among males, for HBP, the overweight trajectory increased the risk [2.09 (1.04–4.03)]; however, for incident HPG, none of the trajectories showed significant risk. CONCLUSIONS: Among females, trend of increasing BMI parallel with age can be a better predictor for risk of developing HPG and HBP than those with higher BMI at baseline. Public Library of Science 2019-05-01 /pmc/articles/PMC6493705/ /pubmed/31042715 http://dx.doi.org/10.1371/journal.pone.0213828 Text en © 2019 Ahanchi et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ahanchi, Noushin Sadat
Ramezankhani, Azra
Munthali, Richard J.
Asgari, Samaneh
Azizi, Fereidoun
Hadaegh, Farzad
Body mass index trajectories from adolescent to young adult for incident high blood pressure and high plasma glucose
title Body mass index trajectories from adolescent to young adult for incident high blood pressure and high plasma glucose
title_full Body mass index trajectories from adolescent to young adult for incident high blood pressure and high plasma glucose
title_fullStr Body mass index trajectories from adolescent to young adult for incident high blood pressure and high plasma glucose
title_full_unstemmed Body mass index trajectories from adolescent to young adult for incident high blood pressure and high plasma glucose
title_short Body mass index trajectories from adolescent to young adult for incident high blood pressure and high plasma glucose
title_sort body mass index trajectories from adolescent to young adult for incident high blood pressure and high plasma glucose
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6493705/
https://www.ncbi.nlm.nih.gov/pubmed/31042715
http://dx.doi.org/10.1371/journal.pone.0213828
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