Table 1.
Characteristics of 633 participants in the internet-based case-crossover study of gout
| Characteristics | N=633 |
|---|---|
| Sex (n, %) | |
| Men | 494 (78.0%) |
| Age (median, range) | 54 (21–88) |
| Education (n, %) | |
| Less than high school graduate | 10 (1.6) |
| High school graduate | 55 (8.7) |
| Some college/technical school | 199 (31.4) |
| College graduate | 157 (24.8) |
| Some professional/graduate school | 70 (11.1) |
| Completed professional or graduate school | 142 (22.4) |
| Household income in US$ (n, %) | |
| <25,000 | 51 (8.1) |
| 25 000–49 999 | 127 (20.7) |
| 50 000–74 999 | 121 (19.1) |
| 75 000–99 999 | 89 (14.1) |
| >100 000 | 163 (25.8) |
| Refuse to answer | 82 (13.0) |
| Race (n, %) | |
| Black | 19 (3.0) |
| White | 558 (88.2) |
| Other | 48 (7.6) |
| Refuse to answer | 8 (1.3) |
| Body mass index (kg/m2, median, range) | 30.6 (14.7, 69.9) |
| Years of disease duration (median, range) | 5 (0–49) |
| Alcohol drinkers* (n, %) | 383 (60.5) |
| Diuretic users* (n, %) | 184 (29.1) |
| Allopurinol users* (n, %) | 285 (45.0) |
| Non-steroidal anti-inflammatory drug users* (n, %) | 342 (54.0) |
| Colchicine users* (n, %) | 160 (25.3) |
*
During either hazard or control periods.