Adolescent Tri-ponderal Mass Index Growth Trajectories and Incident Diabetes Mellitus in Early Adulthood

体质指数 医学 糖尿病 危险系数 置信区间 肥胖 比例危险模型 内科学 纵向研究 人口学 队列研究 队列 内分泌学 儿科 病理 社会学
作者
Yifan Wu,Hsien‐Yu Fan,Yang‐Ching Chen,Kuan‐Liang Kuo,Kuo‐Liong Chien
出处
期刊:The Journal of Clinical Endocrinology and Metabolism [Oxford University Press]
卷期号:106 (8): e2919-e2927 被引量:9
标识
DOI:10.1210/clinem/dgab235
摘要

Studies have reported the influence of adolescent obesity on development of adult diabetes, but the effect of the growth pattern during this period has rarely been explored. Also, the tri-ponderal mass index (TMI) was thought to be a better estimation of adolescent body fat levels than the body mass index (BMI), so we sought to investigate whether growth trajectories derived by these two indices could predict incident diabetes.We conducted a study by using the Taipei City Hospital Radiation Building Database, a longitudinal cohort established in 1996. Physical exam results including blood test results were collected annually and the BMI z-score/TMI growth trajectory groups during 13 to 18 years of age were identified using growth mixture modeling. A Cox proportional hazard model for incident diabetes was used to examine the risk of baseline obese status and different BMI/TMI growth trajectories.Five growth trajectory groups were identified for the BMI z-score and the TMI. During approximately 20 400 person-years follow-up, 33 of 1387 participants developed diabetes. Baseline obesity defined by the BMI z-score and the TMI were both related to adult diabetes. The persistent increase TMI growth trajectory exhibited a significantly increased risk of diabetes after adjusting for baseline obese status and other correlated covariates (hazard ratio: 2.85, 95% confidence interval: 1.01-8.09). There was no association between BMI growth trajectory groups and incident diabetes.A specific TMI growth trajectory pattern during adolescence might be critical for diabetes prevention efforts.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
灵竹完成签到,获得积分10
1秒前
风中翠丝完成签到 ,获得积分10
2秒前
3秒前
天天快乐应助无奈的函采纳,获得10
3秒前
科研牛马完成签到,获得积分10
4秒前
4秒前
supreme辉发布了新的文献求助10
6秒前
6秒前
7秒前
慈祥的玲发布了新的文献求助10
7秒前
7秒前
9秒前
wwwwzzzz发布了新的文献求助10
9秒前
10秒前
深情安青应助成功的院士采纳,获得10
10秒前
zz发布了新的文献求助10
11秒前
slx发布了新的文献求助10
12秒前
12秒前
13秒前
饱满的恋风完成签到,获得积分20
14秒前
林少玮发布了新的文献求助10
15秒前
汉堡包应助山谷采纳,获得10
15秒前
wwwww完成签到,获得积分10
15秒前
anna1992发布了新的文献求助10
15秒前
zq完成签到,获得积分10
16秒前
holdzyywoo完成签到,获得积分10
16秒前
liming应助xuan采纳,获得10
17秒前
粥大大完成签到 ,获得积分10
17秒前
18秒前
19秒前
19秒前
20秒前
ie驳回了woshi123应助
20秒前
喜悦初彤完成签到,获得积分10
20秒前
woshi123应助zy采纳,获得10
21秒前
21秒前
21秒前
跨材料发布了新的文献求助10
22秒前
22秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7584089
求助须知:如何正确求助?哪些是违规求助? 9162837
关于积分的说明 19608306
捐赠科研通 7165970
什么是DOI,文献DOI怎么找? 3266369
关于科研通互助平台的介绍 2431345
邀请新用户注册赠送积分活动 2257929