Background Multimorbidity is increasingly common and is associated with adverse health outcomes, highlighting the need to broaden the single-disease framework that dominates medical research. We exami

NIAID Data Ecosystem30

Multinomial logistic regression for risk estimation of CTRP1 (a), HOMA-IR (b) and BMI (e) regarding the outcome of NAFLD, T2DM and NAFLD+T2DM.

心脏代谢性疾病风险预测

生物标志物分析

Adjustment for risk of CTRP1 for the aforesaid outcome diseases by controlling for HOMA-IR (c) and BMI (f). The interactive risk of increasing HOMA-IR and CTRP1 levels (d) and also BMI and CTRP1 level

NIAID Data Ecosystem20

Genetic Effects on Longitudinal Changes from Healthy to Adverse Weight and Metabolic Status — The HUNT Study

遗传流行病学

心脏代谢性疾病风险预测

IntroductionThe complexity of obesity and onset and susceptibility of cardio-metabolic disorders are still poorly understood and is addressed here through studies of genetic influence on weight gain a

Figshare2016-01-15 更新40

DataSheet_2_Comparison of different insulin resistance surrogates to predict hyperuricemia among U.S. non-diabetic adults.docx

心脏代谢性疾病风险预测

胰岛素抵抗生物标志物评估

PurposeAlthough it has been well-acknowledged that insulin resistance (IR) plays a critical role in the development of hyperuricemia (HU), specific relationship between IR and HU in non-diabetic patie

NIAID Data Ecosystem30

Multinomial logistic regression of cardiometabolic sequence cluster membership.

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