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Dataset Information

Joint assessment of abdominal obesity and non-traditional lipid parameters for primary prevention of cardiometabolic multimorbidity: insights from the China health and retirement longitudinal study 2011-2018.


ABSTRACT:

Background

Obesity and abnormal lipid metabolism increase the risk of various cardiometabolic diseases, including diabetes, heart disease, and stroke. However, the impact of abdominal obesity (AO) and non-traditional lipid parameters on the risk of cardiometabolic multimorbidity (CMM) remains unclear. This study aims to investigate the separate and combined effects of AO and non-traditional lipid parameters on the incidence risk of CMM.

Methods

This study enrolled 7,597 eligible participants from the China health and retirement longitudinal study (CHARLS). Cox proportional hazards models were used to perform adjusted regression analyses and mediation analyses, with Kaplan-Meier analysis used for cumulative hazards. Restricted cubic splines were utilized to evaluate the nonli

SUBMITTER: Lai H 

PROVIDER: S-EPMC11890515 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature