Waist-to-height ratio, an optimal anthropometric indicator for metabolic dysfunction associated fatty liver disease in the Western Chinese male population

脂多糖学 人体测量学 临床营养学 临床化学 腰围 腰臀比 医学 内科学 疾病 脂肪肝 人口 中国人口 代谢综合征 代谢性疾病 人口学 体质指数 生理学 物理疗法 生物 环境卫生 肥胖 遗传学 社会学 基因型 基因
作者
Jinwei Cai,Cuiting Lin,Shuiqing Lai,Yingshan Liu,Liang Min,Yingfen Qin,Xinghuan Liang,Aihua Tan,Yong Gao,Lu Zheng,Chunlei Wu,Shengzhu Huang,Xiaobo Yang,Haiying Zhang,Jian Kuang,Zengnan Mo
出处
期刊:Lipids in Health and Disease [Springer Nature]
卷期号:20 (1) 被引量:22
标识
DOI:10.1186/s12944-021-01568-9
摘要

Non-alcoholic fatty liver disease (NAFLD) has been entitled as metabolic-dysfunction associated fatty liver disease (MAFLD). Therefore anthropometric indicators of adiposity may provide a non-invasive predictive and diagnostic tool for this disease. This study intended to validate and compare the MAFLD predictive and diagnostic capability of eight anthropometric indicators.The study involved a population-based retrospective cross-sectional design. The Fangchenggang area male health and examination survey (FAMHES) was used to collect data of eight anthropometric indicators, involving body mass index (BMI), waist-to-height ratio (WHtR), waist-hip ratio (WHR), body adiposity index (BAI), cardiometabolic index (CMI), lipid accumulation product (LAP), visceral adiposity index (VAI), and abdominal volume index (AVI). Receiver operating characteristics (ROC) curves and the respective areas under the curves (AUCs) were utilized to compare the diagnostic capacity of each indicator for MAFLD and to determine the optimal cutoff points. Binary logistic regression analysis was applied to identify the odds ratios (OR) with 95% confidence intervals (95% CI) for all anthropometric indicators and MAFLD. The Spearman rank correlation coefficients of anthropometric indicators, sex hormones, and MAFLD were also calculated.All selected anthropometric indicators were significantly associated with MAFLD (P < 0.001), with an AUC above 0.79. LAP had the highest AUC [0.868 (95% CI, 0.853-0.883)], followed by WHtR [0.863 (95% CI, 0.848-0.879)] and AVI [0.859 (95% CI, 0.843-0.874)]. The cutoff values for WHtR, LAP and AVI were 0.49, 24.29, and 13.61, respectively. WHtR [OR 22.181 (95% CI, 16.216-30.340)] had the strongest association with MAFLD, regardless of potential confounders. Among all the anthropometric indicators, the strongest association was seen between LAP and sex hormones.All anthropometric indicators were associated with MAFLD. WHtR was identified as the strongest predictor of MAFLD in young Chinese males, followed by LAP and AVI. The strongest association was found between LAP and sex hormones.

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
陈麦子完成签到 ,获得积分10
刚刚
Andyfragrance完成签到,获得积分10
2秒前
dy发布了新的文献求助10
2秒前
爆米花应助正月不忘十一采纳,获得10
7秒前
量子星尘发布了新的文献求助10
7秒前
Grandir完成签到 ,获得积分10
8秒前
丨墨月丨完成签到,获得积分0
10秒前
爆米花应助科研通管家采纳,获得10
11秒前
11秒前
11秒前
11秒前
11秒前
干净的琦应助科研通管家采纳,获得10
11秒前
11秒前
11秒前
科研通AI2S应助科研通管家采纳,获得10
11秒前
干净的琦应助科研通管家采纳,获得10
11秒前
11秒前
干净的琦应助科研通管家采纳,获得10
11秒前
12秒前
成就的鹏笑应助dy采纳,获得10
12秒前
银河里完成签到 ,获得积分10
13秒前
遇见飞儿完成签到,获得积分0
14秒前
共享精神应助zxy采纳,获得10
15秒前
23秒前
专注的胡萝卜完成签到 ,获得积分10
24秒前
badgerwithfisher完成签到,获得积分10
24秒前
杨杨杨完成签到,获得积分10
26秒前
zxy发布了新的文献求助10
29秒前
优美伟泽完成签到 ,获得积分10
29秒前
Rainlistener完成签到,获得积分10
30秒前
ask基本上完成签到 ,获得积分10
34秒前
Nn完成签到 ,获得积分10
35秒前
蕉鲁诺蕉巴纳完成签到,获得积分0
37秒前
大模型应助油麦采纳,获得10
39秒前
Poman完成签到,获得积分10
39秒前
研友_LMgQXZ完成签到,获得积分10
43秒前
无心的小霸王完成签到 ,获得积分10
44秒前
lym完成签到,获得积分10
45秒前
45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
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Russian Politics Today: Stability and Fragility (2nd Edition) 500
Death Without End: Korea and the Thanatographics of War 500
Der Gleislage auf der Spur 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6080881
求助须知:如何正确求助?哪些是违规求助? 7911473
关于积分的说明 16361439
捐赠科研通 5216662
什么是DOI,文献DOI怎么找? 2789193
邀请新用户注册赠送积分活动 1772157
关于科研通互助平台的介绍 1648920