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. 2019 Sep 20;4(3):e12600. doi: 10.2196/12600

Table 1.

Background characteristics of participants.

Characteristic n (%)a
Gender

Male 230 (63.2)

Female 134 (36.8)
Age (years)

18-24 99 (27.2)

25-30 94 (25.8)

31-40 80 (21.0)

>41 73 (20.1)

Missing 18 (5.0)
Ethnicity

Black 325 (89.3)

White 5 (1.4)

Coloredb 23 (6.3)

Indian or Asian 4 (1.1)

Other 4 (1.1)

Missing 3 (0.8)
Marital status

Single 156 (42.9)

Living with partner 75 (20.6)

Married 110 (30.2)

Divorced or separated 18 (5.0)

Widowed 4 (1.1)

Missing 1 (0.3)
Education

No formal education 35 (9.6)

Grade 7 13 (3.6)

Grade 12 141 (38.7)

Certificate 101 (27.8)

Bachelor’s degree 59 (16.2)

Higher degree 14 (3.9)

Missing 1 (0.3)
Employment status

Unemployed 91 (25.0)

Casually employed 69 (19.0)

Self-employed 95 (26.1)

Salaried employee 108 (29.7)

Missing 1 (0.3)
Economic status

Poor 53 (14.6)

Below average 70 (19.2)

Average 190 (52.2)

Above average 41 (11.3)

Wealthy 10 (2.8)
Residence

Informal settlement 27 (7.4)

House (owned) 54 (14.8)

House (rented) 131 (36.0)

Apartment (owned) 43 (11.8)

Apartment (rented) 107 (29.4)

Missing 2 (0.6)
Household

Living alone 35 (9.6)

Living with 2 people 71 (19.5)

Living with 3 people 93 (25.6)

Living with 4 people 101 (27.8)

Living with >5 people 62 (17.0)

Missing 2 (0.6)
Takes medication

Yes 89 (24.5)

No 274 (75.3)

Missing 1 (0.3)
Diabetic (told by doctor)

Yes 45 (12.4)

No 316 (86.8)

Missing 3 (0.8)
High blood sugar (told by doctor)

Yes 46 (12.6)

No 316 (86.8)

Missing 2 (0.6)
Risk of diabetes (told by doctor)

Yes 51 (14.3)

No 308 (84.6)

Missing 4 (1.1)
Weight

Below average 42 (11.5)

Average 283 (77.8)

Above average 38 (10.4)

Missing 1 (0.3)
Body type

Skinny 86 (23.6)

Small 75 (20.6)

Average 167 (45.9)

Overweight 25 (6.9)

Obese 11 (3.0)

aPercentages may not equal 100.0% due to rounding.

b“In South Africa, the term Coloured originated during the apartheid era to describe a distinct mixed ancestry community. The term is still used in South Africa as an official race group for census data and scientific research.” [28]