Skip to main content
. 2019 May 31;21:132. doi: 10.1186/s13075-019-1918-7

Table 1.

Sociodemographic variables in the entire South Australian study population and participants with gout1,2

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)

SA South Australia, SES socioeconomic status, IRSAD Index of Relative Socioeconomic Advantage and Disadvantage, BMI body mass index, SF-12 Short Form (12 questions) Health Survey, PCS Physical Component Score, MCS Mental Component Score

1Aged 25 years and over

2Parentheses enclose 95% confidence intervals