Table 2 Demographic and clinical characteristics of study population (n = 130,966)
From: Mediation analysis to understand genetic relationships between habitual coffee intake and gout
| Â | Controls | % with data available | Gout cases | % with data available |
|---|---|---|---|---|
n | 128,831 | Â | 2135 | Â |
Males, n (%) | 59,782 (46.4%) | 100.0 | 1972 (92.4%) | 100.0 |
Age (years) | 56.7 (7.98) | 100.0 | 60.23 (6.67) | 100.0 |
Body mass index (kg /m2) | 27.47 (4.82) | 99.7 | 30.87 (5.01) | 99.6 |
Townsend Index | −1.38 (3.05) | 99.9 | −1.12 (3.10) | 99.8 |
Hypertension, n (%)) | 40,185 (31.2%) | 100.0 | 1402 (65.7%) | 100,0 |
Diabetes, n (%) | 5384 (4.2%) | 100.0 | 279 (13.1%) | 100.0 |
Kidney disease, n (%) | 1121 (0.9%) | 100.0 | 125 (5.9%) | 100.0 |
Meat consumption, n (%) | 122,658 (95.2%) | 98.9 | 2103 (98.5%) | 99.2 |
All meat intake (pieces per week) | 5.50 (2.72) | 98.9 | 6.55 (2.77) | 99.2 |
Fish consumption, n (%) | 123,330 (95.7%) | 99.3 | 2079 (97.4%) | 99.2 |
All fish intake (pieces per week) | 2.23 (1.58) | 99.3 | 2.34 (1.63) | 99.2 |
Beer/cider intake (pints per week) | 3.11 (5.71) | 70.2 | 9.11 (10.26) | 83.8 |
Spirits intake (measures per week) | 1.98 (5.91) | 70.0 | 2.97 (8.99) | 83.4 |
Coffee consumption, n (%) | 101,076 (78.5%) | 99.8 | 1617 (75.7%) | 99.2 |
Coffee intake (cups per day) | 2.12 (2.20) | 99.8 | 1.75 (1.83) | 99.2 |
Tea consumption, n (%) | 108,734 (84.4%) | 99.8 | 1813 (84.9%) | 99.9 |
Tea intake (cups per day) | 3.45 (2.99) | 99.8 | 3.31 (2.88) | 99.9 |
Any fruit consumption, n (%) | 119,605 (92.8%) | 98.9 | 1917 (89.8%) | 98.0 |
Fruit of any description (pieces per day) | 2.98 (2.50) | 98.9 | 2.72 (2.33) | 98.0 |
All vegetable intake (pieces per day) | 4.83 (3.17) | 98.6 | 4.83 (3.06) | 97.3 |
Bread intake (slices per week) | 12.52 (8.69) | 99.2 | 14.77 (9.72) | 98.7 |
Cereal intake (bowls per week) | 4.52 (2.80) | 99.7 | 3.83 (2.81) | 99.7 |
Cheese intake (pieces per week) | 2.46 (1.75) | 97.7 | 2.35 (1.66) | 96.9 |