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. Author manuscript; available in PMC: 2015 Jan 1.
Published in final edited form as: JACC Cardiovasc Imaging. 2013 Nov 27;7(1):59–69. doi: 10.1016/j.jcmg.2013.10.006

Table 2.

Associations and SEs of 50-mg/day Increments in Energy-Adjusted Self-Reported Total (Dietary and Supplemental) Magnesium Intake with CAC and AAC

Model* n β SE p Value
CAC as ln(AS + 1)
    Model 1 2,695 –0.18 0.06 0.001
    Model 2 –0.13 0.05 0.011
    Model 3 –0.25 0.07 <0.001
AAC as ln(AS + 1)
    Model 1 2,681 –0.19 0.06 0.001
    Model 2 –0.09 0.06 0.09
    Model 3 –0.13 0.08 0.07
*

Tobit regression analyses were adjusted as follows: model 1 adjusted for calcium and energy intake, age, sex, and exam cycle. Model 2 adjusted as for model 1, plus BMI, smoking status, SBP, fasting insulin, total-to-high-density lipoprotein cholesterol ratio, use of hormone replacement therapy (women only), menopausal status (women only), treatment for hyperlipidemia, hypertension or cardiovascular disease prevention, or diabetes, and alcohol intake. Model 3 adjusted as for model 2, plus intake of vitamins K and D, saturated fat, and fiber.

β Coefficients of Tobit regression can be interpreted as most linear regression coefficients on the natural log scale, that is, as percent changes per 50-mg/day increments in magnesium intake, obtained by exponentiating the coefficient and subtracting 1. For example, in model 3 of the CAC regression, the –0.25 β coefficient can be thought of as [e–0.25 – 1] = –22%, or 22% lower CAC per 50-mg/day increment in intake.

Abbreviations as in Table 1.