Relationship between muscle mass index and LDL cholesterol target levels: Analysis of two studies of the Korean population

血脂异常 医学 体质指数 优势比 内科学 腹部肥胖 危险系数 全国健康与营养检查调查 混淆 置信区间 肥胖 骨骼肌 内分泌学 人口 腰围 环境卫生
作者
Jun‐Hyuk Lee,Hye Sun Lee,A-Ra Cho,Yong‐Jae Lee,Yu‐Jin Kwon
出处
期刊:Atherosclerosis [Elsevier]
卷期号:325: 1-7 被引量:16
标识
DOI:10.1016/j.atherosclerosis.2021.01.016
摘要

Background and aims Decreased skeletal muscle mass is an important change in body composition with aging. Maintaining the optimal low-density lipoprotein (LDL) cholesterol level is crucial for the prevention of cardiovascular diseases (CVD). We investigated whether muscle mass was associated with dyslipidemia. Methods We analyzed the data of 17,546 adults from the 2008–2011 Korean National Health and Nutrition Examination Survey (KNHANES) and 5126 adults from the Korean Genome and Epidemiology Study (KoGES). Participants were classified into the lower skeletal muscle mass index (LSMI) group and normal group. LSMI was defined as body mass index (BMI)-adjusted appendicular skeletal muscle mass <0.789 (men) and <0.512 (women) in the KNHANES, and as sex-specific lowest quintile of the BMI-adjusted total skeletal muscle mass in the KoGES. Participants were defined as having dyslipidemia when the serum LDL cholesterol levels were higher than their LDL cholesterol management targets based on their CVD risk level. Results The odds ratio with 95% confidence interval (CI) for dyslipidemia of the LSMI group was 1.230 (1.016–1.488, p = 0.034) after adjusting for confounding variables compared to the normal group in the 2008–2011 KNHANES. In the KoGES, the hazard ratio with 95% CI for incident dyslipidemia of the LSMI group compared to the normal group was 1.225 (1.101–1.364, p < 0.001). Regardless of abdominal obesity, LSMI was significantly associated with a higher risk of incident dyslipidemia. Conclusions LSMI was associated with dyslipidemia regardless of abdominal obesity. Prevention of muscle mass loss may be an important strategy for LDL cholesterol management.

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
3秒前
自然发布了新的文献求助10
4秒前
简单怡应助凹凸曼采纳,获得30
5秒前
可爱的函函应助吴慧琼采纳,获得10
6秒前
李爱国应助友好山菡采纳,获得10
6秒前
ZJX发布了新的文献求助10
6秒前
李爱国应助开心的幼珊采纳,获得10
7秒前
7秒前
南笙几梦完成签到 ,获得积分10
8秒前
echo617完成签到,获得积分10
8秒前
8秒前
李健应助李照普采纳,获得10
9秒前
9秒前
splaker7发布了新的文献求助10
9秒前
10秒前
11秒前
11秒前
Nicole发布了新的文献求助10
11秒前
落行发布了新的文献求助10
12秒前
快乐仙人掌完成签到,获得积分20
12秒前
嘉嘉润完成签到,获得积分10
12秒前
joanna完成签到,获得积分10
12秒前
Serrin完成签到,获得积分10
13秒前
14秒前
ding应助wait采纳,获得10
14秒前
小_n发布了新的文献求助10
14秒前
花卷完成签到,获得积分20
14秒前
14秒前
嗯哼哈哈发布了新的文献求助10
14秒前
Sv发布了新的文献求助10
15秒前
15秒前
闪闪的无招完成签到,获得积分10
15秒前
15秒前
15秒前
金皮卡发布了新的文献求助10
19秒前
19秒前
19秒前
小二郎应助Nicole采纳,获得10
20秒前
ccmxigua完成签到,获得积分10
20秒前
xxx发布了新的文献求助10
20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
Comprehensive Methanol Science: Production, Applications, and Emerging Technologies 4000
Kinesiophobia : a new view of chronic pain behavior 2000
Comprehensive Methanol Science: Production, Applications, and Emerging Technologies Volume 2: Methanol Production from Fossil Fuels and Renewable Resources 1000
Comprehensive Methanol Science: Production, Applications, and Emerging Technologies Volume 1: Methanol Characteristics and Environmental Challenges in Direct Methane Conversion 1000
The Social Psychology of Citizenship 1000
Research for Social Workers 1000
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5918801
求助须知:如何正确求助?哪些是违规求助? 6887338
关于积分的说明 15808112
捐赠科研通 5045120
什么是DOI,文献DOI怎么找? 2715081
邀请新用户注册赠送积分活动 1667922
关于科研通互助平台的介绍 1606114