The association between weight-adjusted-waist index and psoriasis: A cross-sectional study

医学 腰围 四分位数 银屑病 全国健康与营养检查调查 人口学 体质指数 横断面研究 逻辑回归 人口 肥胖 老年学 环境卫生 内科学 置信区间 皮肤病科 病理 社会学
作者
Runke Zhou,Qing Xiao,Lingyun Zhao,Jie Tang,Yuanyuan Han,Nan Huang,Yixin Wang,Ji Cheng,Jiaqi Lyu,Lidan Xiong,Li Li
出处
期刊:Preventive Medicine [Elsevier]
卷期号:185: 108026-108026 被引量:3
标识
DOI:10.1016/j.ypmed.2024.108026
摘要

This study explored the association between psoriasis and the weight-adjusted waist index (WWI), a newly developed measure of adiposity. The research was conducted among adults in the United States. Utilizing survey data from the National Health and Nutrition Examination Survey (NHANES) spanning the years 2009 to 2014, the present study aimed to investigate the potential correlation between psoriasis and WWI within a sample of 15,920 adult participants. Employing multivariable logistic regression and nonlinear curve fitting techniques, we analyzed this plausible association. Additionally, a subgroup analysis was conducted to ascertain the consistency across diverse populations. A significant positive association was discovered between psoriasis and WWI in the investigated sample of 15,920 adults. After conducting a comprehensive adjustment of the model, it was observed that each incremental unit of WWI was significantly associated with an 14% elevated likelihood of developing psoriasis (OR = 1.16, 95% CI 1.01–1.36). Moreover, individuals belonging to the highest quartile of WWI exhibited a 47% higher risk of psoriasis compared to those in the lowest quartile (OR = 1.44, 95% CI 1.01–2.06). This positive correlation remained consistent across various subgroups. The study also compared WWI with BMI and waist circumference, finding that WWI is a more stable metric of obesity. Our study suggested that in US adults, there is a positive association between WWI and psoriasis. It also indicated that WWI showed potential as a valuable index of psoriasis among the general population.
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
zmmmm发布了新的文献求助10
刚刚
领导范儿应助温言采纳,获得10
刚刚
思源应助OvO采纳,获得10
2秒前
迷糊发布了新的文献求助30
3秒前
LY发布了新的文献求助10
4秒前
zzz完成签到,获得积分10
4秒前
KimJongUn完成签到,获得积分10
4秒前
6秒前
6秒前
zy完成签到,获得积分10
7秒前
开心果子发布了新的文献求助10
7秒前
云痴子完成签到,获得积分10
8秒前
SciGPT应助粥粥采纳,获得10
8秒前
8秒前
8秒前
9秒前
苏源完成签到,获得积分10
9秒前
wu关闭了wu文献求助
9秒前
9秒前
10秒前
10秒前
11秒前
11秒前
11秒前
Shawn完成签到,获得积分10
12秒前
yltstt完成签到,获得积分10
13秒前
李小新发布了新的文献求助10
13秒前
成梦发布了新的文献求助10
14秒前
乐乐应助xuex1采纳,获得10
14秒前
蜂鸟5156发布了新的文献求助10
14秒前
李爱国应助VDC采纳,获得10
15秒前
16秒前
研友_VZG7GZ应助科研通管家采纳,获得10
16秒前
科研通AI2S应助科研通管家采纳,获得10
16秒前
16秒前
充电宝应助科研通管家采纳,获得10
16秒前
ns完成签到,获得积分10
16秒前
细腻晓露发布了新的文献求助10
16秒前
李本来发布了新的文献求助10
16秒前
乐乐应助科研通管家采纳,获得10
16秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527928
求助须知:如何正确求助?哪些是违规求助? 3108040
关于积分的说明 9287614
捐赠科研通 2805836
什么是DOI,文献DOI怎么找? 1540070
邀请新用户注册赠送积分活动 716904
科研通“疑难数据库(出版商)”最低求助积分说明 709808