Table 1 Sociodemographic variables in the entire South Australian study population and participants with gout1,2
From: Gout, flares, and allopurinol use: a population-based study
Demographic | Entire SA population | Participants with gout |
|---|---|---|
%Males | 48.7 (46.5, 50.9)2 | 79.2 (72.4, 84.6) |
Age: Mean | 52.3 (51.5, 53.1) | 63.3 (60.5, 66.0) |
 %25–34 years | 18.2 (16.4, 20.2) | 7.6 (3.7, 15.0) |
 %35–44 years | 17.8 (16.1, 19.7) | 6.6 (2.9, 14.3) |
 %45–54 years | 19.4 (17.6, 21.4) | 8.5 (5.0, 14.0) |
 %55–64 years | 18.5 (16.9, 20.2) | 22.8 (16.3, 31.0) |
 %65+ years | 26.1 (24.3, 27.9) | 54.5 (46.2, 62.6) |
SES (IRSAD): Mean | 970 (961, 978) | 954 (938, 971) |
BMI3: Mean | 27.5 (27.2, 27.8) | 30.3 (29.2, 31.4) |
 %Normal/Underweight | 35.1 (32.9, 37.3) | 15.5 (10.7, 21.9) |
 % Overweight | 38.6 (36.4, 40.9) | 40.1 (32.6, 48.2) |
 % Obese | 26.3 (24.3, 28.4) | 44.0 (36.5, 52.6) |
SF-12: | ||
 PCS: Mean | 47.5 (47.0, 48.0) | 42.5 (40.4, 44.6) |
 MCS: Mean | 53.2 (52.8, 53.6) | 53.9 (52.7, 55.0) |
Comorbidities: | ||
 % Heart attack/angina | 8.1 (7.0, 9.2) | 23.8 (17.6, 31.3) |
 %Heart failure | 1.6 (1.2, 2.3) | 3.6 (1.8, 7.1) |
 % Stroke | 2.2 (1.8, 2.9) | 3.7 (1.8, 7.3) |
 % High blood pressure | 30.9 (29.0, 33.0) | 53.9 (45.6, 61.9) |
 % Diabetes/high blood sugar | 13.2 (11.8, 14.7) | 32.8 (25.9, 40.5) |
 % High cholesterol | 25.9 (24.0, 27.8) | 40.1 (32.8, 47.9) |