Influence of sex and menopausal status on the relationship between metabolic syndrome and coronary artery calcification: a Chinese community-based cross-sectional study

医学 代谢综合征 优势比 内科学 冠状动脉疾病 置信区间 心脏病学 钙化积分 钙化 横断面研究 逻辑回归 糖尿病 内分泌学 肥胖 病理 冠状动脉钙
作者
Wenqian Yu,Baowei Shao,Meng Li,Pengfei Zhang,Haijie Li,Xilong Teng,Honglu Wang,Su G,Fengquan Zhang,Na Li
出处
期刊:Menopause [Lippincott Williams & Wilkins]
卷期号:28 (5): 546-553 被引量:5
标识
DOI:10.1097/gme.0000000000001750
摘要

Abstract Objective: To evaluate the association between metabolic syndrome and coronary artery calcification according to different sex and menopausal status. Methods: This cross-sectional study included 2,704 adults from the Jidong community (Tangshan, China) recruited from July 2013 to August 2014. Adults aged ≥40 years with no cardiovascular disease and with coronary artery calcification score data were included. Metabolic syndrome was defined according to the 2005 International Diabetes Federation standard. Coronary artery calcification score was determined using the Agatston method. The associations between metabolic syndrome and coronary artery calcification prevalence were evaluated using logistic regression. Results: In the multivariable regression analysis, metabolic syndrome was associated with coronary artery calcification (odds ratio: 1.34, 95% confidence interval: 1.04-1.71, P = 0.021). When stratified by sex, metabolic syndrome was positively associated with coronary artery calcification prevalence in female participants (odds ratio: 2.79, 95% confidence interval: 1.96-3.96, P < 0.001), whereas no association was observed in male participants. Furthermore, metabolic syndrome was associated with a higher prevalence of coronary artery calcification ( P < 0.001) independent of adjustment for covariates in postmenopausal women than in premenopausal women, and coronary artery calcification prevalence increased with an increase in conditions related to metabolic syndrome. Conclusions: Our findings indicate that metabolic syndrome in postmenopausal women is associated with a higher prevalence of coronary artery disease than in premenopausal women and men.
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
深情安青应助拒绝去偏旁采纳,获得10
2秒前
2秒前
2秒前
橘子完成签到,获得积分10
3秒前
科研通AI5应助酷炫冰棍采纳,获得10
4秒前
咯咚发布了新的文献求助10
5秒前
5秒前
5秒前
sunshine发布了新的文献求助20
6秒前
dwx0529发布了新的文献求助10
8秒前
淡定的安妮完成签到,获得积分10
9秒前
daydayup发布了新的文献求助10
10秒前
11秒前
11秒前
12秒前
孙俪发布了新的文献求助10
12秒前
Stove完成签到,获得积分10
12秒前
13秒前
香蕉觅云应助dwx0529采纳,获得10
15秒前
lzq完成签到,获得积分10
16秒前
666666发布了新的文献求助10
16秒前
连九完成签到,获得积分10
16秒前
kit给kit的求助进行了留言
16秒前
小马甲应助小明采纳,获得10
16秒前
星星轨迹发布了新的文献求助10
17秒前
Ava应助burou采纳,获得10
17秒前
17秒前
17秒前
jinyi完成签到 ,获得积分10
19秒前
20秒前
21秒前
阳光问安发布了新的文献求助10
21秒前
明亮访烟完成签到,获得积分10
22秒前
23秒前
24秒前
情堪隽永不如故完成签到,获得积分20
26秒前
哎哟你干嘛完成签到,获得积分10
27秒前
zzzzzzz发布了新的文献求助10
27秒前
27秒前
Zhy完成签到,获得积分10
27秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Deciphering Earth's History: the Practice of Stratigraphy 200
New Syntheses with Carbon Monoxide 200
Quanterion Automated Databook NPRD-2023 200
Interpretability and Explainability in AI Using Python 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3835128
求助须知:如何正确求助?哪些是违规求助? 3377624
关于积分的说明 10499544
捐赠科研通 3097120
什么是DOI,文献DOI怎么找? 1705552
邀请新用户注册赠送积分活动 820615
科研通“疑难数据库(出版商)”最低求助积分说明 772142