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 |

Abbreviations as in Table 1.

↵∗ 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, e

^{2.80}/ e^{3.13}= 0.72, or 28% lower AAC in the highest compared to the lowest intake category. Models adjusted for as in Table 2.