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
刚刚
fan发布了新的文献求助10
1秒前
跳跃雯发布了新的文献求助10
1秒前
2秒前
3秒前
3秒前
lobster发布了新的文献求助100
3秒前
3秒前
共享精神应助斜杠武采纳,获得10
4秒前
秋风应助王6采纳,获得10
4秒前
5秒前
晨曦发布了新的文献求助10
5秒前
5秒前
华仔应助xingxing5201314采纳,获得10
5秒前
liaoliao0924完成签到,获得积分10
6秒前
76ers发布了新的文献求助30
6秒前
6秒前
Orange应助efengmo采纳,获得10
7秒前
7秒前
Glory完成签到,获得积分10
7秒前
orixero应助慈祥的爆米花采纳,获得10
7秒前
郭珊珊发布了新的文献求助10
8秒前
光亮发卡发布了新的文献求助10
8秒前
lll发布了新的文献求助10
8秒前
9秒前
可爱的函函应助Mandy采纳,获得10
9秒前
9秒前
huangguanglin发布了新的文献求助10
10秒前
THM666完成签到,获得积分10
10秒前
田様应助zy采纳,获得10
10秒前
11秒前
11秒前
科研通AI6.2应助1437594843采纳,获得10
12秒前
13秒前
科研通AI6.2应助房产中介采纳,获得10
13秒前
潇湘发布了新的文献求助10
13秒前
张琴完成签到 ,获得积分10
14秒前
14秒前
郭珊珊完成签到,获得积分10
15秒前
6666发布了新的文献求助10
15秒前
高分求助中
(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
Industrial Hydraulics Manual (7th edition) 800
Physiologic races of the downy mildew fungus on soybeans in North Carolina 800
Rosenblum, Global Change Biology 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7776110
求助须知:如何正确求助?哪些是违规求助? 9317601
关于积分的说明 20358732
捐赠科研通 7362688
什么是DOI,文献DOI怎么找? 3318168
关于科研通互助平台的介绍 2466311
邀请新用户注册赠送积分活动 2333591