Key characteristics of individuals w/o metabolic syndrome.

NIAID Data Ecosystem2026-03-07 收录

代谢综合征预测

健康风险因素分析

数据链接：

https://figshare.com/articles/dataset/_Key_characteristics_of_individuals_w_o_metabolic_syndrome_/609524 数据链接链接失效反馈

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资源简介：

Key characteristics of individuals w/o metabolic syndrome.

创建时间：

2013-02-21

File S1 - Increased Plasma DPP4 Activity Is an Independent Predictor of the Onset of Metabolic Syndrome in Chinese over 4 Years: Result from the China National Diabetes and Metabolic Disorders Study

代谢综合征预测

糖尿病生物标志物

Table S1. ORs for new-onset metabolic syndrome components according to baseline DPP4 activity (nmol/ml/min); Table S2. ORs for new-onset metabolic syndrome components according to baseline active GLP-

Figshare2015-12-02 更新70

The de-identified supporting data.

血脂快速检测

代谢综合征预测

Background/PurposeDyslipidemia, a hallmark of metabolic syndrome (MetS), contributes to atherosclerotic and cardiometabolic disorders. Due to days-long analysis, current clinical procedures for cardio

Figshare2025-01-30 更新50

Logistic regression model with ITS and HTS as predictors.

健康风险因素分析

流行病学建模

Models adjusted for age, sex and total years of education.pa“symptoms absent” is the reference category.b“not currently employed” is the reference category.c“financial stress absent” is the reference

Figshare2015-12-02 更新40

Number of coronary heart disease deaths prevented or postponed from 1991 to 2007 due to changes in risk factor prevalence in Denmark, stratified by deprivation quintiles .

冠心病研究

健康风险因素分析

Number of coronary heart disease deaths prevented or postponed from 1991 to 2007 due to changes in risk factor prevalence in Denmark, stratified by deprivation quintiles.

NIAID Data Ecosystem50

Logistic regression model for the prediction of metabolic syndrome based on BMI * .

代谢综合征预测

健康风险评估

Logistic regression model for the prediction of metabolic syndrome based on BMI*.

NIAID Data Ecosystem50