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ABSTRACT: Introduction
Clustering of cardiometabolic risk factors in childhood significantly increases the risk of atherosclerotic cardiovascular disease later in life. Identification of modifiable parental factors that contribute to offspring cardiometabolic health is critical for the prevention of disease. The objective was to identify factors associated with child cardiometabolic risk factors at age 5 years.Methods
Triads from a longitudinal cohort were recalled at 5 years (n = 68). Dietary intake, anthropometrics, physical activity and serum-based risk factors were collected. Best subset selection, linear and logistic regressions were used to identify triad variables associated with increased risk of cardiometabolic risk factor clustering at age 5 years.Results
In this co
SUBMITTER: McGehee DL
PROVIDER: S-EPMC12071413 | biostudies-literature | 2024 Dec
REPOSITORIES: biostudies-literature