Evaluation of Waist Circumference, Waist-Hip Ratio and Waist-Length Ratio in Insulin Resistance: Which is A Powerful Predictor?

作者
R ZLEM
出处
期刊:Annals of medical research [ScopeMed]
卷期号:30 (5): 1-1 被引量:4
标识
DOI:10.5455/annalsmedres.2022.06.194
摘要

Introduction: The most important cause of insulin resistance(IR) is obesity. Abdominal adiposity (AA) is more important than general obesity in IR formation. The aim of this study is to evaluate waist circumference (WC), waist-hip ratio (WHR) and waist-length ratio (WLR) as the AA markers, and to question their predictive properties in IR. Material and Methods: Individuals diagnosed with IR were retrospectively examined. Seventy patients between 20-65 ages without systemic disease and drug use were included in the study. The patients were evaluated in terms of age, gender, and obesity grades. They were divided into the risk groups according to WC, WHR, WLR and compared each other in terms of HOMA-IR levels. Results: Of the cases 78.6% were female and 21.4% were male. The mean age was 43.04 years. The mean HOMA-IR level was 5.38. Severe obesity was in 35 (50%) patients. WC, in 87.2% of women 60% of men, WHR, in 65.4% of women 93.3% of men, and WLR, in 98.1% of women 93.3% of men were high. HOMA-IR level was found to be statistically different in the WLR risky group compared to the others(p<0.05). WLR was more significant and indicated IR with 70% sensitivity and 80% specificity with a HOMA IR level of 3.03 and above. Conclusion: WLR is a stronger predictor than WC and WHR in all obesity grades for IR. It can be preferred as a powerful predictor for the risk assessment of abdominal obesity and IR status.

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
1秒前
SSSSS发布了新的文献求助10
1秒前
3秒前
3秒前
在大理下棋的魔法师完成签到,获得积分10
3秒前
DONGDONG完成签到,获得积分20
4秒前
pengjie发布了新的文献求助10
5秒前
秋风发布了新的文献求助10
5秒前
5秒前
深情安青应助Nuyoah采纳,获得10
5秒前
LWJ发布了新的文献求助10
5秒前
情怀应助风趣的绿茶采纳,获得10
6秒前
7秒前
文献与亲吗皆失完成签到,获得积分10
7秒前
jiahuihuang发布了新的文献求助10
7秒前
8秒前
8秒前
8秒前
8秒前
10秒前
qihang1254144328完成签到 ,获得积分10
11秒前
沉静丹寒发布了新的文献求助20
11秒前
13秒前
zhou周周周发布了新的文献求助10
15秒前
gurdeva发布了新的文献求助10
17秒前
逆境发布了新的文献求助10
17秒前
18秒前
xyff2002完成签到 ,获得积分20
19秒前
zzx完成签到 ,获得积分10
20秒前
沉默发布了新的文献求助10
20秒前
23秒前
SciGPT应助SSSSS采纳,获得10
23秒前
a衍发布了新的文献求助10
23秒前
野性的胡萝卜完成签到,获得积分20
24秒前
xiongmeimei发布了新的文献求助100
24秒前
小马甲应助土豆大魔王采纳,获得10
25秒前
思源应助沉静丹寒采纳,获得20
26秒前
斯文黎云发布了新的文献求助10
28秒前
29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
Markov Chain Monte Carlo 5000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Evidence Summary. Injection (subcutaneous):op- timal administration 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
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 7495729
求助须知:如何正确求助?哪些是违规求助? 9086830
关于积分的说明 19380976
捐赠科研通 7107013
什么是DOI,文献DOI怎么找? 3249904
关于科研通互助平台的介绍 2419305
邀请新用户注册赠送积分活动 2235656