Distinct racial and ethnic metabolic syndrome characteristics: A comparative assessment in low‐income children 7–10 years of age

医学 民族 代谢综合征 低收入 人口学 老年学 环境卫生 儿科 肥胖 内科学 社会经济学 社会学 人类学
作者
Matthew Jeans,Reem Ghaddar,Sarvenaz Vandyousefi,Matthew J. Landry,Megan J. Gray,Heather J. Leidy,Tiffany A. Whittaker,Molly S. Bray,Jaimie N. Davis
出处
期刊:Pediatric obesity [Wiley]
卷期号:17 (10) 被引量:5
标识
DOI:10.1111/ijpo.12925
摘要

Summary Background Pediatric MetS prevalence varies due to lack of consensus on evaluative criteria and associated thresholds, with most not recommending a diagnosis <10 years. However, MetS risk components are becoming evident earlier in life and affect races and ethnicities disproportionately. Objectives To compare the prevalence of MetS based on existing definitions and elucidate racial‐ and ethnic‐specific characteristics associated with MetS prevalence. Methods The baseline and follow‐up samples included 900 and 557 children 7–10 years, respectively. Waist circumference, BMI percentile, blood pressure, fasting plasma glucose (FPG), insulin, triglycerides, and high‐density lipoprotein cholesterol (HDL‐C) were measured. Agreement between MetS definitions was quantified via kappa statistics. MetS and risk factor prevalence and the predictability of metabolic parameters on MetS eight months later was evaluated via logistic regression. McFadden pseudo‐R2 was reported as a measure of predictive ability, and the Akaike information criterion evaluated fit of each model. Results The baseline sample was 55.0% male and 71.6% Hispanic, followed by non‐Hispanic White (NHW) (17.3%) and non‐Hispanic Black (NHB) (11.1%), with an average age of 9.2 years. MetS prevalence ranged from 7.6% to 21.4%, highest in Hispanic (9.0%–24.0%) and lowest in NHB children (4.0%–14.0%). Highest agreement was between Ford et al. and Cook et al. definitions ( K = 0.88) and lowest agreements were consistently with the International Diabetes Federation criteria ( K ≤ 0.57). Compared to NHW children, Hispanic children had higher odds for MetS (OR: 1.7; p = 0.03) and waist circumference, HDL‐C, and FPG risk factors ( p < 0.05), while NHB children had higher odds for the FPG risk factor ( p ≤ 0.007) and lower odds for the plasma triglycerides risk factor ( p = 0.002), across multiple MetS definitions. In longitudinal analyses, HDL‐C was the strongest independent predictor of MetS in Hispanic and NHW children ( p < 0.001 and p < 0.01, respectively), while plasma triglycerides was the strongest independent predictor of MetS in NHB children ( p < 0.05). Conclusions MetS prevalence was high in children ≤10 years, and proposed criteria are susceptible to racial and ethnic bias, diagnosing some populations more than other populations with high cardiovascular risk. Earlier preventative measures should be imposed in clinical settings, accounting for racial and ethnic differences, to mitigate disease onset.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
wanci应助文光采纳,获得10
1秒前
吃个馍馍完成签到,获得积分10
1秒前
pork0001发布了新的文献求助10
2秒前
11111发布了新的文献求助10
2秒前
Aries发布了新的文献求助10
2秒前
2秒前
HAo发布了新的文献求助30
3秒前
Lucy完成签到,获得积分10
3秒前
shi完成签到,获得积分10
3秒前
lalala完成签到,获得积分10
3秒前
小蘑菇应助大力的萝莉采纳,获得10
4秒前
科研通AI2S应助紫色茄子采纳,获得10
4秒前
4秒前
FFF发布了新的文献求助10
5秒前
彭于彦祖应助科研通管家采纳,获得30
5秒前
酷波er应助科研通管家采纳,获得10
5秒前
丘比特应助往海深处听采纳,获得10
5秒前
无花果应助科研通管家采纳,获得10
5秒前
今后应助科研通管家采纳,获得10
5秒前
花开富贵应助科研通管家采纳,获得10
5秒前
AneyWinter66应助科研通管家采纳,获得10
5秒前
彭于晏应助科研通管家采纳,获得10
5秒前
orixero应助科研通管家采纳,获得10
5秒前
ding应助科研通管家采纳,获得10
5秒前
Hello应助科研通管家采纳,获得10
5秒前
科研通AI6应助科研通管家采纳,获得30
5秒前
科目三应助科研通管家采纳,获得10
6秒前
orixero应助科研通管家采纳,获得10
6秒前
Owen应助科研通管家采纳,获得10
6秒前
Lucas应助科研通管家采纳,获得10
6秒前
共享精神应助科研通管家采纳,获得10
6秒前
在水一方应助科研通管家采纳,获得10
6秒前
丘比特应助科研通管家采纳,获得20
6秒前
6秒前
6秒前
6秒前
8秒前
8秒前
小董发布了新的文献求助10
9秒前
9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
Mechanics of Solids with Applications to Thin Bodies 5000
Encyclopedia of Agriculture and Food Systems Third Edition 2000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 临床微生物学程序手册,多卷,第5版 2000
人脑智能与人工智能 1000
King Tyrant 720
Silicon in Organic, Organometallic, and Polymer Chemistry 500
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 5601539
求助须知:如何正确求助?哪些是违规求助? 4687052
关于积分的说明 14847124
捐赠科研通 4681263
什么是DOI,文献DOI怎么找? 2539418
邀请新用户注册赠送积分活动 1506305
关于科研通互助平台的介绍 1471297