. 2006 May 2;80(2):253–272. doi: 10.1016/j.healthpol.2006.03.002

Table 1.

HIV/AIDS study variables

Characteristics	Number	%
Total sample	660	100.0

Independent variables
Socio-demographic factors
Gender
Male	396	60.0
Female	264	40.0
Age
49 years old or younger	493	74.7
50 years old or older	167	25.3
Ethnicity
Indian	65	10.0
Malay	174	26.4
Chinese	418	63.3
Marital status
Single	178	27.0
Married	449	68.0
Divorced/separated/widowed	33	5.0
Religion
Muslim	189	28.6
Christian	79	12.0
Other religion	392	59.4

Social class factors
Occupation
Service sector occupation	101	15.3
Other occupation	559	84.7
Personal income
Below S$ 500 per month	469	71.0
S$ 500 or higher per month	191	29.0
Education
<11 years of education	578	87.6
11 years or more	82	12.4

Attitudinal factors
Do you usually worry about falling sick?
No	463	70.2
Yes	197	29.8
Future orientation^a
Low (below average)	318	48.2
High (above average)	342	51.8
Sense of control over one's life^a
Low (below average)	299	45.3
High (above average)	361	54.7
Life satisfaction^a
Low (below average)	231	35.0
High (above average)	429	65.0
Perceived severity of AIDS^a
Low	95	14.4
High	565	85.6
Perceived susceptibility to HIV/AIDS^a
Low	452	68.5
High	208	31.5
Belief in effective HIV/AIDS prevention^a
No	113	17.0
Yes	547	83.0

Dependent variable
Perception of people living with HIV/AIDS (perceived stigma)^a
“Deviants”	171	26.0
“Risk-takers”	376	57.0
“Victims”	37	5.5
No label attached	76	11.5

The details of these scales are given in Table A.3. The scale scores were dichotomized based on the mean score as shown here, to meet the requirements of logistic regression analysis.