Association between body fat variation rate and risk of diabetic nephropathy - a posthoc analysis based on ACCORD database

医学 生物统计学 糖尿病 流行病学 肾病 环境卫生 内科学 数据库 内分泌学 计算机科学
作者
Shuai Li,Lin Li,Xiaoyue Chen,Siyu Liu,Ming Gao,Xunjie Cheng,Chuanchang Li
出处
期刊:BMC Public Health [BioMed Central]
卷期号:24 (1)
标识
DOI:10.1186/s12889-024-20317-y
摘要

Weight control has consistently been regarded as a significant preventive measure against diabetic nephropathy. however, the potential impact of substantial fluctuations in body fat during this process on the risk of diabetic nephropathy remains uncertain. This study aimed to investigate the association between body fat variation rate and diabetic nephropathy incident in American patients with type 2 diabetes. The study used data from the Action to Control Cardiovascular Risk in diabetes (ACCORD) trial to calculate body fat variation rates over two years and divided participants into Low and High groups. The hazard ratio and 95% confidence interval were estimated using a Cox proportional hazards model, and confounding variables were addressed using propensity score matching. Four thousand six hundred nine participants with type 2 diabetes were studied, with 1,511 cases of diabetic nephropathy observed over 5 years. High body fat variation rate was linked to a higher risk of diabetic nephropathy compared to low body fat variation rate (HR 1.13, 95% CI 1.01–1.26). Statistically significant interaction was observed between body fat variation rate and BMI (P interaction = 0.008), and high level of body fat variation rate was only associated with increased risk of diabetic nephropathy in participants with BMI > 30 (HR 1.34 and 95% CI 1.08–1.66). Among participants with Type 2 Diabetes Mellitus, body fat variation rate was associated with increased risk of diabetic nephropathy. Furthermore, the association was modified by BMI, and positive association was demonstrated in obese but not non-obese individuals. Consequently, for obese patients with diabetes, a more gradual weight loss strategy is recommended to prevent drastic fluctuations in body fat. Clinical Trials. gov, no. NCT000000620 (Registration Date 199909).

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
儒雅黑裤完成签到,获得积分10
刚刚
xzn1123完成签到,获得积分0
1秒前
1秒前
ccx完成签到,获得积分10
3秒前
犹豫的碧灵完成签到,获得积分10
3秒前
邵裘完成签到,获得积分10
3秒前
愚者完成签到,获得积分10
4秒前
Hua完成签到,获得积分10
5秒前
5秒前
7秒前
studyofslag完成签到,获得积分10
7秒前
CC完成签到,获得积分10
7秒前
7秒前
美满元风应助温乘云采纳,获得10
8秒前
jiao完成签到,获得积分20
8秒前
科研通AI6.3应助无语采纳,获得10
8秒前
刘子轩发布了新的文献求助10
9秒前
ksl完成签到 ,获得积分10
9秒前
夏夜完成签到 ,获得积分10
11秒前
11秒前
风雨晴鸿完成签到 ,获得积分10
11秒前
111完成签到,获得积分10
11秒前
阿玺完成签到,获得积分10
11秒前
12秒前
想人陪的万言完成签到,获得积分10
12秒前
结果诠释过往完成签到 ,获得积分10
12秒前
1234567899发布了新的文献求助10
12秒前
SciGPT应助刘子轩采纳,获得10
13秒前
13988548568完成签到,获得积分10
14秒前
北枳完成签到,获得积分10
15秒前
健壮的映秋完成签到,获得积分10
16秒前
之星君完成签到,获得积分10
16秒前
欢呼归尘完成签到,获得积分10
17秒前
觅与蜜完成签到,获得积分10
17秒前
月下荷花完成签到 ,获得积分10
19秒前
情谊超爷完成签到 ,获得积分10
20秒前
DanaLin完成签到,获得积分10
20秒前
20秒前
大耳怪完成签到 ,获得积分10
21秒前
离大谱完成签到,获得积分10
21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 2000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Curating Socialism: A Handbook of International Art Exhibitions 1947-1989 750
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
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 7529734
求助须知:如何正确求助?哪些是违规求助? 9115545
关于积分的说明 19468708
捐赠科研通 7130320
什么是DOI,文献DOI怎么找? 3256112
关于科研通互助平台的介绍 2423874
邀请新用户注册赠送积分活动 2243712