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 BV]
卷期号:185: 108026-108026 被引量:8
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
2秒前
微7完成签到,获得积分10
2秒前
李威萱发布了新的文献求助10
2秒前
逃亡的小狗完成签到,获得积分10
4秒前
FashionBoy应助能闭嘴吗采纳,获得10
8秒前
科研通AI6.1应助鲤鱼羊采纳,获得10
8秒前
文天烽完成签到,获得积分10
10秒前
orixero应助鱼粉采纳,获得10
10秒前
wshwx发布了新的文献求助10
13秒前
宋呵呵完成签到,获得积分10
17秒前
文静觅松完成签到,获得积分10
19秒前
19秒前
科研狗完成签到 ,获得积分10
20秒前
霸气的思柔完成签到,获得积分10
22秒前
23秒前
23秒前
123发布了新的文献求助10
24秒前
trickyWang发布了新的文献求助10
25秒前
晓驿完成签到,获得积分10
26秒前
27秒前
小蘑菇应助鲤鱼羊采纳,获得10
28秒前
28秒前
杜不是杜完成签到,获得积分10
29秒前
HZH完成签到 ,获得积分10
30秒前
魔幻的纸鹤完成签到,获得积分10
31秒前
a海w发布了新的文献求助10
32秒前
XinyuLu完成签到,获得积分10
32秒前
vv完成签到,获得积分10
34秒前
求带发布了新的文献求助10
36秒前
38秒前
Ru完成签到 ,获得积分10
39秒前
飘逸问萍完成签到 ,获得积分10
39秒前
默默的草丛完成签到 ,获得积分10
40秒前
40秒前
hs完成签到,获得积分10
40秒前
41秒前
Ava应助娜娜采纳,获得30
42秒前
南枳完成签到 ,获得积分10
42秒前
无昵称完成签到 ,获得积分10
43秒前
koo发布了新的文献求助10
43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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6356112
求助须知:如何正确求助?哪些是违规求助? 8171084
关于积分的说明 17202900
捐赠科研通 5412128
什么是DOI,文献DOI怎么找? 2864479
邀请新用户注册赠送积分活动 1842016
关于科研通互助平台的介绍 1690280