TABLE 3.
Association between vitamin C and gout according to subgroups1
n Placebo/n active | HR (95% CI) | P-interaction2 | |
---|---|---|---|
Age, y | |||
<60 | 2938/2953 | 0.80 (0.63, 1.01) | 0.66 |
60–69 | 2348/2348 | 0.90 (0.73, 1.10) | |
≥70 | 2026/2028 | 0.92 (0.75, 1.14) | |
Black | |||
No | 7239/7249 | 0.87 (0.77, 0.99) | 0.54 |
Yes | 73/80 | 1.09 (0.44, 2.70) | |
Prevalent gout | |||
No | 6823/6865 | 0.90 (0.76, 1.07) | 0.58 |
Yes | 489/464 | 0.87 (0.71, 1.05) | |
BMI, kg/m2 | |||
<25 | 3080/3060 | 0.74 (0.59, 0.92) | 0.01 |
25 to <30 | 3487/3505 | 0.85 (0.71, 1.01) | |
≥30 | 743/763 | 1.29 (0.95, 1.74) | |
Rare/no alcohol use | |||
No | 5896/5920 | 0.90 (0.79, 1.04) | 0.25 |
Yes | 1366/1364 | 0.73 (0.52, 1.03) | |
Aspirin use in the past 12 mo | |||
No | 1623/1638 | 0.73 (0.54, 0.97) | 0.18 |
Yes | 5562/5605 | 0.91 (0.79, 1.05) | |
History of hypertension | |||
No | 4154/4252 | 0.91 (0.74, 1.13) | 0.76 |
Yes | 3117/3039 | 0.88 (0.75, 1.03) | |
History of high cholesterol | |||
No | 4472/4494 | 0.83 (0.70, 0.99) | 0.41 |
Yes | 2566/2624 | 0.93 (0.77, 1.12) | |
History of diabetes | |||
No | 6841/6880 | 0.86 (0.76, 0.99) | 0.47 |
Yes | 463/442 | 1.04 (0.68, 1.57) | |
History of myocardial infarction or stroke | |||
No | 6942/6945 | 0.89 (0.78, 1.02) | 0.32 |
Yes | 370/384 | 0.71 (0.46, 1.09) | |
eGFR <60 mL/min/1.73 m2 | |||
No | 2258/2215 | 1.04 (0.82, 1.32) | 0.24 |
Yes | 396/418 | 0.79 (0.52, 1.18) |
HRs were generated using Cox proportional hazards models that included age at randomization, recruitment source (prior PHS I or newly recruited PHS II participant), β-carotene assignment, multivitamin assignment, and vitamin C or E assignment. Models included baseline gout status as a stratification term. Models were repeated with multiplicative interaction terms to enable comparisons across strata. eGFR, estimated glomerular filtration rate; PHS, Physicians’ Health Study.
Based on a joint test for an effect using Wald statistics that test whether the parameters associated with that effect are zero.