Chrome Extension
WeChat Mini Program
Use on ChatGLM

Association between dietary magnesium and 10-year risk of a first hard atherosclerotic cardiovascular disease event

The American Journal of the Medical Sciences(2024)

Cited 0|Views10
No score
Abstract
Background To test whether dietary magnesium is associated with 10-year risk of a first hard atherosclerotic cardiovascular disease event. Method In this cross-sectional study, a total of 2980 participants, aged 40 to 79 years, from the National Health and Nutrition Examination Survey 1999-2018 were analyzed. The association between dietary magnesium and 10-year risk of a first hard atherosclerotic cardiovascular disease (ASCVD) event was assessed following adjustment for clinical risk factors, including sex, age, race, educational level, body mass index (BMI), alcohol drinking, smoking, systolic blood pressure (SBP), diastolic blood pressure (DBP), hypertension treated or not, diabetes and low density lipoprotein cholesterol (LDL-C), total energy and dietary fiber. We performed multivariate linear regression models and smooth curve fittings to evaluate the associations between dietary magnesium and 10-year risk of a first hard atherosclerotic cardiovascular disease event. Result We observed a significant inverse association between dietary magnesium and predicted 10-year risk of a first hard atherosclerotic cardiovascular disease event (β=-0.01, [95%CI: -0.01, -0.00], P=0.0256). We divided the 10-year risk into two categories, with a statistically significant reduction of ASCVD risk when the 10-year risk≥7.5% (β=-0.01, [95%CI: -0.01, -0.00], P=0.0440). Conclusion Dietary magnesium intake was inversely associated with the predicted 10-year risk of a first hard atherosclerotic cardiovascular disease event.
More
Translated text
Key words
Dietary magnesium,10-year risk,Atherosclerotic cardiovascular disease,NHANES,Cross-sectional study
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined