Metabolic Syndrome and Nephrolithiasis; A Cross Sectional Population-based Study on the Baseline Data of the PERSIAN Kavar Cohort Study

医学 代谢综合征 高甘油三酯血症 优势比 队列 流行病学 前瞻性队列研究 逻辑回归 置信区间 队列研究 人口 家族史 内科学 环境卫生 肥胖 胆固醇 甘油三酯
作者
Sara Shojaei‐Zarghani,Ali Reza Safarpour,Hassan Askari,Hossein Kargar Jahromi,Elham Abbasi,Mohammad Reza Fattahi
出处
期刊:Urology [Elsevier BV]
卷期号:173: 61-67 被引量:6
标识
DOI:10.1016/j.urology.2022.11.004
摘要

OBJECTIVE To explore the relationship between metabolic syndrome and its components with nephrolithiasis. METHODS In current study, 4,901 individuals from the PERSIAN (Prospective Epidemiological Research Studies in IrAN) Kavar cohort study were included. Metabolic syndrome was defined according to the ATP III criteria (2005 revision). The nephrolithiasis was assessed using a structured questionnaire, and ultrasound findings were reviewed in subjects who reported positive history of nephrolithiasis. We applied logistic regression to estimate the odds ratio (OR) and 95% confidence interval (CI). RESULTS The prevalence of nephrolithiasis and metabolic syndrome was 28.5% and 40.91%, respectively. Almost 31% of the patients with metabolic syndrome had a history of nephrolithiasis. Multivariable logistic regression analysis revealed a positive association between metabolic syndrome and nephrolithiasis (OR= 1.30, 95% CI: 1.14-1.49, P<.001) after adjustment age, sex, ethnicity, physical activity, smoking status, and alcohol intake. Furthermore, the relation was higher for elders aged 50 years or more (P for interaction= .016) and Turk Nomad participants (P for interaction= 0.044) than the others. There was also a positive independent association between hypertension (OR=1.29, 95% CI: 1.12-1.48, P<.001) and hypertriglyceridemia (OR= 1.15, 95% CI: 1.01-1.31, P=.033) with nephrolithiasis. CONCLUSION In this large sample study, we demonstrate a weak positive association between metabolic syndrome, hypertension, and hypertriglyceridemia with nephrolithiasis. To explore the relationship between metabolic syndrome and its components with nephrolithiasis. In current study, 4,901 individuals from the PERSIAN (Prospective Epidemiological Research Studies in IrAN) Kavar cohort study were included. Metabolic syndrome was defined according to the ATP III criteria (2005 revision). The nephrolithiasis was assessed using a structured questionnaire, and ultrasound findings were reviewed in subjects who reported positive history of nephrolithiasis. We applied logistic regression to estimate the odds ratio (OR) and 95% confidence interval (CI). The prevalence of nephrolithiasis and metabolic syndrome was 28.5% and 40.91%, respectively. Almost 31% of the patients with metabolic syndrome had a history of nephrolithiasis. Multivariable logistic regression analysis revealed a positive association between metabolic syndrome and nephrolithiasis (OR= 1.30, 95% CI: 1.14-1.49, P<.001) after adjustment age, sex, ethnicity, physical activity, smoking status, and alcohol intake. Furthermore, the relation was higher for elders aged 50 years or more (P for interaction= .016) and Turk Nomad participants (P for interaction= 0.044) than the others. There was also a positive independent association between hypertension (OR=1.29, 95% CI: 1.12-1.48, P<.001) and hypertriglyceridemia (OR= 1.15, 95% CI: 1.01-1.31, P=.033) with nephrolithiasis. In this large sample study, we demonstrate a weak positive association between metabolic syndrome, hypertension, and hypertriglyceridemia with nephrolithiasis.
最长约 10秒,即可获得该文献文件

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
小木子完成签到,获得积分10
刚刚
欢喜的诗珊完成签到,获得积分10
1秒前
ay发布了新的文献求助20
2秒前
2秒前
2秒前
qiqi发布了新的文献求助10
3秒前
aabbcc完成签到,获得积分10
4秒前
陈龙完成签到,获得积分10
4秒前
哈哈完成签到,获得积分10
5秒前
田様应助科研通管家采纳,获得10
7秒前
研友_LXOvq8完成签到,获得积分10
7秒前
天晴应助科研通管家采纳,获得10
7秒前
乐乐应助科研通管家采纳,获得10
7秒前
科研通AI2S应助科研通管家采纳,获得10
7秒前
852应助科研通管家采纳,获得10
7秒前
yjh123应助科研通管家采纳,获得30
7秒前
8秒前
8秒前
优美冬瓜完成签到 ,获得积分10
9秒前
研友_LXOvq8发布了新的文献求助10
9秒前
11秒前
JamesPei应助猫之茗采纳,获得30
11秒前
科研顺完成签到 ,获得积分10
11秒前
Cici完成签到,获得积分10
11秒前
刘刘刘完成签到 ,获得积分10
12秒前
滕皓轩发布了新的文献求助10
12秒前
LCC完成签到 ,获得积分10
13秒前
米Me完成签到,获得积分10
13秒前
14秒前
细心白竹完成签到 ,获得积分10
14秒前
天真玉米完成签到,获得积分10
16秒前
cstjx发布了新的文献求助10
17秒前
冯心雨完成签到,获得积分10
18秒前
bkagyin应助五水硫酸铜采纳,获得10
20秒前
LewisAlien完成签到,获得积分20
21秒前
Nole应助Maximuszhao采纳,获得10
22秒前
mmacy完成签到,获得积分10
22秒前
兜里没糖了完成签到 ,获得积分0
24秒前
chenying完成签到,获得积分10
24秒前
可爱的坤完成签到,获得积分10
24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
Römisch-Germanische Forschungen 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Green Fire Retardants for Polymeric Materials 400
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 7614653
求助须知:如何正确求助?哪些是违规求助? 9189999
关于积分的说明 19690853
捐赠科研通 7187421
什么是DOI,文献DOI怎么找? 3271178
关于科研通互助平台的介绍 2434506
邀请新用户注册赠送积分活动 2266167