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Dataset Information

Associations of non-traditional cardiovascular risk factors and body mass index with metabolic syndrome in the Chinese elderly population.


ABSTRACT:

Background

Metabolic syndrome (MetS), a clustering of traditional cardiovascular risk factors (CVRF), is currently one of the major global public health burdens. However, associations between MetS and non-traditional CVRF represented by uric acid (UA), homocysteine (HCY) and hypersensitive C-reactive protein (HsCRP) have not been well explored in the elderly population, especially when considering body mass index (BMI).

Methods

Participants from the Shanghai Elderly Cardiovascular Health (SHECH) study cohort in 2017 were analyzed. MetS was defined using the modified American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Logistic regression models were used to assess associations of non-traditional CVRF, BMI with MetS.

Results

Of the

SUBMITTER: You A 

PROVIDER: S-EPMC10273701 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature