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Table 1 Sample distribution according to sociodemographic variables among individuals ≥20 years in South Australia, 2015 (unweighted N = 2912)

From: Individual diseases or clustering of health conditions? Association between multiple chronic diseases and health-related quality of life in adults

Variables

Number of participants (%)

Gender: Females

1482 (50.9)

Age group

 

 20–34 years

789 (27.1)

 35–49 years

719 (24.7)

 50–64 years

757 (26.0)

 65–79 years

494 (17.0)

 ≥ 80 years

153 (5.3)

Marital status: Married/living with a partner

1942 (66.7)

Residence area: Urban

2169 (74.5)

Educational level

 

 Bachelor or higher

743 (25.5)

 Trade qualification

384 (13.2)

 Certificate/diploma

821 (28.2)

 Secondary

705 (24.2)

 Less than secondary

259 (8.9)

Working status

 

 Employed full time

1083 (37.2)

 Employed part time

594 (20.4)

 Not working

577 (19.8)

 Retired

658 (22.6)

Socioeconomic position (quartiles)a

 

 High

818 (28.1)

 Middle-high

646 (22.2)

 Middle-low

725 (24.9)

 Low

722 (24.8)

Fruit/vegetable consumption (portions/day)

 

 0–2

842 (28.9)

 3–4

1141 (39.2)

 5+

929 (31.9)

Physical activity (days/week)

 

 0–1

864 (29.7)

 2–3

1050 (36.1)

 5+

998 (34.3)

Alcohol intake (doses/day)

 

 0–2

1902 (65.3)

 3–4

597 (20.5)

 5+

413 (14.2)

Smoking status

 

 Never

1226 (42.1)

 Former

1229 (42.2)

 Current

457 (15.7)

  1. aBased on the Socio-Economic Indexes for Areas Index of Relative Socio-economic Advantage and Disadvantaged (SEIFA-IRSAD)
  2. The weighting of data can lead to rounding effects and totals not adding to 100%