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生命要素 8 评分与代谢综合征风险:美国人群的剂量-反应分析。

Life Essentials 8 score and risk of metabolic syndrome: A dose-response analysis in the US population.

机构信息

The First Hospital of Jilin University, Changchun, China.

出版信息

PLoS One. 2024 Oct 31;19(10):e0312674. doi: 10.1371/journal.pone.0312674. eCollection 2024.

DOI:10.1371/journal.pone.0312674
PMID:39480760
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11527257/
Abstract

BACKGROUND

There is limited research on the relationship between Life Essentials 8 (LE8) score and metabolic syndrome (MetS). Our aim is to examine the association between LE8 cardiovascular health metrics and risk of MetS in a nationally representative sample.

METHODS

We conducted a cross-sectional study using data from 23,253 adults aged ≥20 years from the National Health and Nutrition Examination Survey (2005-2018). LE8 score (range 0-100) was calculated based on the American Heart Association's definitions of ideal cardiovascular health behaviors (physical activity, diet, smoking, and body mass index) and factors (total cholesterol, blood pressure, fasting plasma glucose, and fasting triglycerides). Metabolic syndrome comprises a cluster of metabolic disorders, including obesity, hypertension, hyperglycemia, and dyslipidemia. Multivariable logistic regression and restricted cubic spline models, mediation analysis, subgroup analysis and weighted quantile sum (WQS) regression were used to assess the relationship between LE8 score and MetS risk.

RESULTS

A total of 23,253 participants were included, of whom 7,932 had MetS and 15,321 did not. The average age of the participants was 50.7 years (standard deviation (SD) 12.3), with 49.24% being male. Participants with high LE8 category (80-100 points) had 98% lower odds of having MetS compared to those with low LE8 category (0-49 points) after adjusting for potential confounders (adjusted odds ratio [OR]: 0.02; 95% confidence interval [CI]: 0.02-0.03; P < 0.001). There was a monotonic decreasing dose-response relationship between LE8 score and predicted probability of MetS (P-overall <0.001; P-nonlinear <0.001). Several biomarkers including serum albumin, uric acid and neutrophil count emerged as potential mediators.

CONCLUSIONS

While our studies suggest a potential association between cardiovascular health factors and reduced MetS risk, the cross-sectional nature of our study limits causal inferences. The LE8 score could still serve as a useful screening tool to identify individuals at high risk for MetS, facilitating targeted prevention and treatment strategies.

摘要

背景

目前关于 LifeEssentials8(LE8)评分与代谢综合征(MetS)之间的关系的研究较少。本研究旨在调查全美代表性样本中 LE8 心血管健康指标与 MetS 风险之间的相关性。

方法

我们使用来自国家健康和营养检查调查(2005-2018 年)的 23253 名年龄≥20 岁成年人的数据进行了横断面研究。LE8 评分(范围 0-100)根据美国心脏协会理想心血管健康行为(体力活动、饮食、吸烟和体重指数)和因素(总胆固醇、血压、空腹血糖和空腹甘油三酯)的定义计算得出。代谢综合征是一组代谢紊乱的统称,包括肥胖、高血压、高血糖和血脂异常。多变量逻辑回归和限制立方样条模型、中介分析、亚组分析和加权总量(WQS)回归用于评估 LE8 评分与 MetS 风险之间的关系。

结果

共纳入 23253 名参与者,其中 7932 人患有 MetS,15321 人未患有 MetS。参与者的平均年龄为 50.7 岁(标准差 12.3),其中 49.24%为男性。在调整潜在混杂因素后,高 LE8 类别(80-100 分)的参与者发生 MetS 的几率比低 LE8 类别(0-49 分)低 98%(调整后的比值比 [OR]:0.02;95%置信区间 [CI]:0.02-0.03;P<0.001)。LE8 评分与 MetS 预测概率之间存在单调递减的剂量-反应关系(P 总<0.001;P 非线性<0.001)。几种生物标志物,包括血清白蛋白、尿酸和中性粒细胞计数,作为潜在的中介物出现。

结论

虽然我们的研究表明心血管健康因素与降低 MetS 风险之间存在潜在关联,但我们的研究是横断面研究,限制了因果推断。LE8 评分仍可作为识别 MetS 高危人群的有用筛查工具,有助于制定有针对性的预防和治疗策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbb7/11527257/3e5a37ece982/pone.0312674.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbb7/11527257/a5d594d7ebd6/pone.0312674.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbb7/11527257/8812d7d7ec58/pone.0312674.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbb7/11527257/0a26845d1004/pone.0312674.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbb7/11527257/10cf72fc5d19/pone.0312674.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbb7/11527257/3e5a37ece982/pone.0312674.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbb7/11527257/a5d594d7ebd6/pone.0312674.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbb7/11527257/8812d7d7ec58/pone.0312674.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbb7/11527257/0a26845d1004/pone.0312674.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbb7/11527257/10cf72fc5d19/pone.0312674.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbb7/11527257/3e5a37ece982/pone.0312674.g005.jpg

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