From the perspective of dynamic changes in BMI: the relationship between BMI trajectories and dysglycemia, all-cause mortality.

IF 3.9 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Buyu Guo, Yichen Yang, Na Wang, Yue Zhang, Caihong Jiao, Li Wang, Yanan Yan, Songbo Fu
{"title":"From the perspective of dynamic changes in BMI: the relationship between BMI trajectories and dysglycemia, all-cause mortality.","authors":"Buyu Guo, Yichen Yang, Na Wang, Yue Zhang, Caihong Jiao, Li Wang, Yanan Yan, Songbo Fu","doi":"10.1186/s13098-025-01848-9","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>The aim was to explore the body mass index (BMI) trajectory over dynamic time and its relationship with the dysglycemia (including Type 2 Diabetes Mellitus and prediabetes), all-cause mortality, and insulin resistance.</p><p><strong>Methods: </strong>The latent category trajectory model (LCTM) is used to identify the BMI trajectories. Logistic and Cox regression were fitted to assess the correlation between BMI trajectories/weight changes and Type 2 Diabetes Mellitus (T2DM)/prediabetes. Using linear regression to evaluate the correlation between the two and insulin resistance. Mediating role of inflammation was evaluated.</p><p><strong>Results: </strong>Four BMI trajectories were identified, including \"stable\" (74.32%), \"light increase\" (17.18%), \"rapid increase\" (2.82%), and \"increase-to-decrease\" (5.67%). Compared to stable trajectories, participants with slight increase or increase-to-decrease trajectories had higher risks of T2DM, while participats with a slight increase or rapid increase trajectory had a higher probability of developing prediabetes. Early weight changes such as decrease, increase, overweight, or obesity were associated with higher T2DM, while recent weight changes like decrease or obesity-stable only impacted T2DM prevalence, and there were no significant associations for prediabetes.</p><p><strong>Conclusion: </strong>The findings underscore the critical impact of BMI trajectories and early/recent weight changes on T2DM and mortality risk.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"298"},"PeriodicalIF":3.9000,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12306124/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diabetology & Metabolic Syndrome","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s13098-025-01848-9","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0

Abstract

Objectives: The aim was to explore the body mass index (BMI) trajectory over dynamic time and its relationship with the dysglycemia (including Type 2 Diabetes Mellitus and prediabetes), all-cause mortality, and insulin resistance.

Methods: The latent category trajectory model (LCTM) is used to identify the BMI trajectories. Logistic and Cox regression were fitted to assess the correlation between BMI trajectories/weight changes and Type 2 Diabetes Mellitus (T2DM)/prediabetes. Using linear regression to evaluate the correlation between the two and insulin resistance. Mediating role of inflammation was evaluated.

Results: Four BMI trajectories were identified, including "stable" (74.32%), "light increase" (17.18%), "rapid increase" (2.82%), and "increase-to-decrease" (5.67%). Compared to stable trajectories, participants with slight increase or increase-to-decrease trajectories had higher risks of T2DM, while participats with a slight increase or rapid increase trajectory had a higher probability of developing prediabetes. Early weight changes such as decrease, increase, overweight, or obesity were associated with higher T2DM, while recent weight changes like decrease or obesity-stable only impacted T2DM prevalence, and there were no significant associations for prediabetes.

Conclusion: The findings underscore the critical impact of BMI trajectories and early/recent weight changes on T2DM and mortality risk.

从BMI动态变化的角度:BMI轨迹与血糖异常、全因死亡率的关系。
目的:探讨动态时间内的身体质量指数(BMI)轨迹及其与血糖异常(包括2型糖尿病和前驱糖尿病)、全因死亡率和胰岛素抵抗的关系。方法:采用潜在类别轨迹模型(LCTM)识别BMI轨迹。采用Logistic回归和Cox回归评估BMI轨迹/体重变化与2型糖尿病(T2DM)/前驱糖尿病之间的相关性。采用线性回归评价两者与胰岛素抵抗的相关性。评价炎症的介导作用。结果:确定了4种BMI轨迹,分别为“稳定”(74.32%)、“轻度上升”(17.18%)、“快速上升”(2.82%)和“由增到降”(5.67%)。与稳定的轨迹相比,轻度增加或增加到减少轨迹的参与者患T2DM的风险更高,而轻度增加或快速增加轨迹的参与者患前驱糖尿病的可能性更高。早期体重变化如减少、增加、超重或肥胖与较高的T2DM有关,而最近的体重变化如减少或肥胖稳定只影响T2DM的患病率,与前驱糖尿病没有显著的关联。结论:研究结果强调了BMI轨迹和早期/近期体重变化对2型糖尿病和死亡风险的重要影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Diabetology & Metabolic Syndrome
Diabetology & Metabolic Syndrome ENDOCRINOLOGY & METABOLISM-
CiteScore
6.20
自引率
0.00%
发文量
170
审稿时长
7.5 months
期刊介绍: Diabetology & Metabolic Syndrome publishes articles on all aspects of the pathophysiology of diabetes and metabolic syndrome. By publishing original material exploring any area of laboratory, animal or clinical research into diabetes and metabolic syndrome, the journal offers a high-visibility forum for new insights and discussions into the issues of importance to the relevant community.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信