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Eighteen year weight trajectories and metabolic markers of diabetes in modernising China

AIMS/HYPOTHESIS: Although obesity is a major risk factor for diabetes, little is known about weight gain trajectories across adulthood, and whether they are differentially associated with metabolic markers of diabetes. METHODS: We used fasting blood samples and longitudinal weight data for 5,436 adu...

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Autores principales: Gordon-Larsen, Penny, Koehler, Elizabeth, Howard, Annie Green, Paynter, Lauren, Thompson, Amanda L., Adair, Linda S., Mayer-Davis, Elizabeth J., Zhang, Bing, Popkin, Barry M., Herring, Amy H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4119243/
https://www.ncbi.nlm.nih.gov/pubmed/24891020
http://dx.doi.org/10.1007/s00125-014-3284-y
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author Gordon-Larsen, Penny
Koehler, Elizabeth
Howard, Annie Green
Paynter, Lauren
Thompson, Amanda L.
Adair, Linda S.
Mayer-Davis, Elizabeth J.
Zhang, Bing
Popkin, Barry M.
Herring, Amy H.
author_facet Gordon-Larsen, Penny
Koehler, Elizabeth
Howard, Annie Green
Paynter, Lauren
Thompson, Amanda L.
Adair, Linda S.
Mayer-Davis, Elizabeth J.
Zhang, Bing
Popkin, Barry M.
Herring, Amy H.
author_sort Gordon-Larsen, Penny
collection PubMed
description AIMS/HYPOTHESIS: Although obesity is a major risk factor for diabetes, little is known about weight gain trajectories across adulthood, and whether they are differentially associated with metabolic markers of diabetes. METHODS: We used fasting blood samples and longitudinal weight data for 5,436 adults (5,734 observations, aged 18–66 years) from the China Health and Nutrition Survey (1991–2009). Using latent class trajectory analysis, we identified different weight gain trajectories in six age and sex strata, and used multivariable general linear mixed effects models to assess elevated metabolic markers of diabetes (fasting glucose, HbA(1c), HOMA-IR, insulin) across weight trajectory classes. Models were fitted within age and sex strata, and controlled for baseline weight (or baseline weight by weight trajectory interaction terms), height, and smoking habit, with random intercepts to control for community-level correlations. RESULTS: Compared with weight gain, classes with weight maintenance, weight loss, or a switch from weight gain to loss had lower values for metabolic markers of diabetes. These associations were stronger among younger women (aged 18–29 and 30–39 years) and men (18–29 years) than in older (40–66 years) men and women. An exception was HOMA-IR, which showed class differences across all ages (at least p < 0.004). CONCLUSION: Trajectory analysis identified heterogeneity in adult weight gain associated with diabetes-related metabolic markers, independent of baseline weight. Our findings suggest that variation in metabolic markers of diabetes across patterns of weight gain is masked by a homogeneous classification of weight gain. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00125-014-3284-y) contains peer-reviewed but unedited supplementary material, which is available to authorised users.
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spelling pubmed-41192432014-08-04 Eighteen year weight trajectories and metabolic markers of diabetes in modernising China Gordon-Larsen, Penny Koehler, Elizabeth Howard, Annie Green Paynter, Lauren Thompson, Amanda L. Adair, Linda S. Mayer-Davis, Elizabeth J. Zhang, Bing Popkin, Barry M. Herring, Amy H. Diabetologia Article AIMS/HYPOTHESIS: Although obesity is a major risk factor for diabetes, little is known about weight gain trajectories across adulthood, and whether they are differentially associated with metabolic markers of diabetes. METHODS: We used fasting blood samples and longitudinal weight data for 5,436 adults (5,734 observations, aged 18–66 years) from the China Health and Nutrition Survey (1991–2009). Using latent class trajectory analysis, we identified different weight gain trajectories in six age and sex strata, and used multivariable general linear mixed effects models to assess elevated metabolic markers of diabetes (fasting glucose, HbA(1c), HOMA-IR, insulin) across weight trajectory classes. Models were fitted within age and sex strata, and controlled for baseline weight (or baseline weight by weight trajectory interaction terms), height, and smoking habit, with random intercepts to control for community-level correlations. RESULTS: Compared with weight gain, classes with weight maintenance, weight loss, or a switch from weight gain to loss had lower values for metabolic markers of diabetes. These associations were stronger among younger women (aged 18–29 and 30–39 years) and men (18–29 years) than in older (40–66 years) men and women. An exception was HOMA-IR, which showed class differences across all ages (at least p < 0.004). CONCLUSION: Trajectory analysis identified heterogeneity in adult weight gain associated with diabetes-related metabolic markers, independent of baseline weight. Our findings suggest that variation in metabolic markers of diabetes across patterns of weight gain is masked by a homogeneous classification of weight gain. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00125-014-3284-y) contains peer-reviewed but unedited supplementary material, which is available to authorised users. Springer Berlin Heidelberg 2014-06-03 2014 /pmc/articles/PMC4119243/ /pubmed/24891020 http://dx.doi.org/10.1007/s00125-014-3284-y Text en © The Author(s) 2014 https://creativecommons.org/licenses/by/4.0/ Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Article
Gordon-Larsen, Penny
Koehler, Elizabeth
Howard, Annie Green
Paynter, Lauren
Thompson, Amanda L.
Adair, Linda S.
Mayer-Davis, Elizabeth J.
Zhang, Bing
Popkin, Barry M.
Herring, Amy H.
Eighteen year weight trajectories and metabolic markers of diabetes in modernising China
title Eighteen year weight trajectories and metabolic markers of diabetes in modernising China
title_full Eighteen year weight trajectories and metabolic markers of diabetes in modernising China
title_fullStr Eighteen year weight trajectories and metabolic markers of diabetes in modernising China
title_full_unstemmed Eighteen year weight trajectories and metabolic markers of diabetes in modernising China
title_short Eighteen year weight trajectories and metabolic markers of diabetes in modernising China
title_sort eighteen year weight trajectories and metabolic markers of diabetes in modernising china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4119243/
https://www.ncbi.nlm.nih.gov/pubmed/24891020
http://dx.doi.org/10.1007/s00125-014-3284-y
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