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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 3.

Adjusted Means and SEs of CAC and AAC across Quartile Categories of Energy-Adjusted Self-Reported Total (Dietary and Supplemental) Magnesium Intake*

Quartile 1 (n = 673) Quartile 2 (n = 674) Quartile 3 (n = 674) Quartile 4 (n = 674) p Value
Magnesium intake, mg/day p Linear trend
    Median 258.8 303.6 351.1 427.4
    Range 159.8–283.9 284.0–325.4 325.5–383.6 383.9–669.4
CAC as ln(AS + 1)
    Model 1 1.78 (0.07) 1.86 (0.07) 1.74 (0.07) 1.52 (0.07) 0.004
    Model 2 1.77 (0.07) 1.85 (0.07) 1.75 (0.07) 1.52 (0.07) 0.006
    Model 3 1.85 (0.08) 1.88 (0.07) 1.74 (0.07) 1.43 (0.08) 0.0005
AAC as ln(AS + 1)
    Model 1 3.21 (0.09) 3.04 (0.09) 2.77 (0.09) 2.77 (0.09) 0.001
    Model 2 3.10 (0.09) 3.06 (0.08) 2.81 (0.08) 2.83 (0.09) 0.01
    Model 3 3.13 (0.10) 3.07 (0.08) 2.80 (0.08) 2.80 (0.10) 0.02
*

For AAC, n = 2,681. Differences between intake categories, when the outcome is presented on the natural log scale as done here, can be interpreted as percent differences between highest and lowest categories by exponentiating the mean in the highest and lowest categories, and taking the ratio of the exponentiated means. For example, in model 3 of the AAC regression, e2.80/e3.13 = 0.72, or 28% lower AAC in the highest compared to the lowest intake category. Models adjusted for as in Table 2.

Abbreviations as in Table 1.