Literature DB >> 34127722

Life-course trajectories of weight and their impact on the incidence of type 2 diabetes.

Diego Yacamán-Méndez1,2, Ylva Trolle-Lagerros3,4, Minhao Zhou5, Antonio Monteiro Ponce de Leon6,5, Hrafnhildur Gudjonsdottir5, Per Tynelius6,5, Anton Lager6,5.   

Abstract

Although exposure to overweight and obesity at different ages is associated to a higher risk of type 2 diabetes, the effect of different patterns of exposure through life remains unclear. We aimed to characterize life-course trajectories of weight categories and estimate their impact on the incidence of type 2 diabetes. We categorized the weight of 7203 participants as lean, normal or overweight at five time-points from ages 7-55 using retrospective data. Participants were followed for an average of 19 years for the development of type 2 diabetes. We used latent class analysis to describe distinctive trajectories and estimated the risk ratio, absolute risk difference and population attributable fraction (PAF) associated to different trajectories using Poisson regression. We found five distinctive life-course trajectories. Using the stable-normal weight trajectory as reference, the stable overweight, lean increasing weight, overweight from early adulthood and overweight from late adulthood trajectories were associated to higher risk of type 2 diabetes. The estimated risk ratios and absolute risk differences were statistically significant for all trajectories, except for the risk ratio of the lean increasing trajectory group among men. Of the 981 incident cases of type 2 diabetes, 47.4% among women and 42.9% among men were attributable to exposure to any life-course trajectory different from stable normal weight. Most of the risk was attributable to trajectories including overweight or obesity at any point of life (36.8% of the cases among women and 36.7% among men). The overweight from early adulthood trajectory had the highest impact (PAF: 23.2% for woman and 28.5% for men). We described five distinctive life-course trajectories of weight that were associated to increased risk of type 2 diabetes over 19 years of follow-up. The variability of the effect of exposure to overweight and obesity on the risk of developing type 2 diabetes was largely explained by exposure to the different life-course trajectories of weight.

Entities:  

Year:  2021        PMID: 34127722     DOI: 10.1038/s41598-021-91910-z

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  36 in total

Review 1.  Heterogeneity of Pre-diabetes and Type 2 Diabetes: Implications for Prediction, Prevention and Treatment Responsiveness.

Authors:  Kristine Faerch; Adam Hulmán; Thomas P J Solomon
Journal:  Curr Diabetes Rev       Date:  2016

2.  Childhood body mass index and development of type 2 diabetes throughout adult life-A large-scale danish cohort study.

Authors:  Esther Zimmermann; Lise G Bjerregaard; Michael Gamborg; Allan A Vaag; Thorkild I A Sørensen; Jennifer L Baker
Journal:  Obesity (Silver Spring)       Date:  2017-03-27       Impact factor: 5.002

Review 3.  Determinants and Consequences of Obesity.

Authors:  Adela Hruby; JoAnn E Manson; Lu Qi; Vasanti S Malik; Eric B Rimm; Qi Sun; Walter C Willett; Frank B Hu
Journal:  Am J Public Health       Date:  2016-07-26       Impact factor: 9.308

Review 4.  Cardiovascular and Metabolic Heterogeneity of Obesity: Clinical Challenges and Implications for Management.

Authors:  Ian J Neeland; Paul Poirier; Jean-Pierre Després
Journal:  Circulation       Date:  2018-03-27       Impact factor: 29.690

Review 5.  Childhood obesity as a predictor of morbidity in adulthood: a systematic review and meta-analysis.

Authors:  A Llewellyn; M Simmonds; C G Owen; N Woolacott
Journal:  Obes Rev       Date:  2015-10-06       Impact factor: 9.213

6.  Toward Precision Approaches for the Prevention and Treatment of Obesity.

Authors:  Susan Z Yanovski; Jack A Yanovski
Journal:  JAMA       Date:  2018-01-16       Impact factor: 56.272

7.  Obesity and type 2 diabetes: what can be unified and what needs to be individualized?

Authors:  Robert H Eckel; Steven E Kahn; Ele Ferrannini; Allison B Goldfine; David M Nathan; Michael W Schwartz; Robert J Smith; Steven R Smith
Journal:  Diabetes Care       Date:  2011-05-20       Impact factor: 19.112

8.  Causal relationships between obesity and the leading causes of death in women and men.

Authors:  Jenny C Censin; Sanne A E Peters; Jonas Bovijn; Teresa Ferreira; Sara L Pulit; Reedik Mägi; Anubha Mahajan; Michael V Holmes; Cecilia M Lindgren
Journal:  PLoS Genet       Date:  2019-10-24       Impact factor: 5.917

9.  Utility of Climatic Information via Combining Ability Models to Improve Genomic Prediction for Yield Within the Genomes to Fields Maize Project.

Authors:  Diego Jarquin; Natalia de Leon; Cinta Romay; Martin Bohn; Edward S Buckler; Ignacio Ciampitti; Jode Edwards; David Ertl; Sherry Flint-Garcia; Michael A Gore; Christopher Graham; Candice N Hirsch; James B Holland; David Hooker; Shawn M Kaeppler; Joseph Knoll; Elizabeth C Lee; Carolyn J Lawrence-Dill; Jonathan P Lynch; Stephen P Moose; Seth C Murray; Rebecca Nelson; Torbert Rocheford; James C Schnable; Patrick S Schnable; Margaret Smith; Nathan Springer; Peter Thomison; Mitch Tuinstra; Randall J Wisser; Wenwei Xu; Jianming Yu; Aaron Lorenz
Journal:  Front Genet       Date:  2021-03-08       Impact factor: 4.599

10.  Low Birth Weight, Cumulative Obesity Dose, and the Risk of Incident Type 2 Diabetes.

Authors:  Cindy Feng; Nathaniel D Osgood; Roland F Dyck
Journal:  J Diabetes Res       Date:  2018-01-09       Impact factor: 4.011

View more
  1 in total

Review 1.  Risk of Type 2 Diabetes Among Individuals with Excess Weight: Weight Trajectory Effects.

Authors:  Arthur H Owora; David B Allison; Xuan Zhang; Nana Gletsu-Miller; Kishore M Gadde
Journal:  Curr Diab Rep       Date:  2022-07-04       Impact factor: 5.430

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.