A workplace intervention program and the increase in HIV knowledge, perceived accessibility and use of condoms among young factory workers in Thailand

Figures & data

Table 1. Distribution of the 7 HIV/AIDS prevention program interventions among the 28 factories under study in 2008.

Interventions	Number of factories with interventions	%
ASO certification	17	60.7
HIV/AIDS training for managers	8	28.6
HIV/AIDS training for peer leaders	12	42.9
HIV/AIDS training for workers	13	46.4
Free condom services available in the establishment	14	50.0
Condom vending machine available in the establishment	11	39.3
Whether or not mobile exhibitions by TBCA/Partner come to this establishment	10	35.7

Table 2. Rotated component matrix of the factor analysis of the seven HIV/AIDS prevention program interventions requesting for two components.

Interventions	Component 1: Management and services	Component 2: HIV/AIDS training
ASO certification	.935	(.263)
Condom vending machine available in the establishment	.896	(.419)
Free condom services available in the establishment	.883	(.437)
Whether or not mobile exhibitions by TBCA/Partner come to this establishment	.854	(.474)
HIV/AIDS training for managers	(.378)	.922
HIV/AIDS training for peer leaders	(.381)	.921
HIV/AIDS training for workers	(.386)	.919

Note: Coefficients of less than .500 are shown in parenthesis.

Table 3. Demographic and social characteristics, AIDS knowledge, perceived accessibility to condoms and condom use among factories workers aged 18–24 who had sex with regular partners, in 28 selected factories undergoing an HIV/AIDS workplace program, Thailand 2008.

Demographic and AIDS related measures	Total	Male	Female
Mean age (N = 699)	21.7	21.8	21.6
(SD)	(1.828)	(1.874)	(1.801)
Gender
For all males and females (N = 699)	100.0	36.2	63.8
For those who had sex with regular partners (N = 520)	100.0	41.9	58.1
Marital status*** (N = 699)
Married	41.1	26.5	49.3
Not married	58.9	73.5	50.7
Education (N = 699)
Primary/Middle/Secondary	71.0	66.4	73.5
Diploma	29.0	33.6	26.5
AIDS knowledge score*** (N = 699)
Score 3 out of 9	0.1	0.0	0.2
Score 5 out of 9	1.3	1.6	1.1
Score 6 out of 9	6.6	5.9	7.0
Score 7 out of 9	21.3	23.3	20.2
Score 8 out of 9	35.8	28.1	40.1
Score 9 out of 9	34.9	41.1	31.4
(Mean score)	(8.0)	(8.0)	(7.9)
Perceived accessibility of condom (N = 699)
Know where to obtain a condom	93.7	97.2	91.7
Condom use with regular partner***
(N = 520)	26.9	40.7	17.3

***Significant level =< .000.

Table 4. Multiple regression analysis of the effect of HIV/AIDS workplace prevention program components on HIV/AIDS knowledge among 692 young factory workers (aged 18–24), controlling for individual socio-demographic characteristics.

Independent variables	Unstandardized coefficients		Standardized coefficients	t	Sig.	95% Confidence interval for B
	B	Std. error	Beta			Lower bound	Upper bound
(Constant)	6.042	.443		13.648	.000	5.172	6.911
Age	.083	.021	.153	3.981	.000	.042	.123
Gender
Male	.091	.079	.044	1.152	.250	−.064	.246
Female (reference)	–	–	–	–	–	–	–
Education
Higher than high school	.158	.083	.072	1.891	.059	−.006	.321
High school and lower(reference)	–	–	–	–	–	–	–
Marital status
Married and ever-married	.110	.079	.055	1.391	.165	−.045	.265
Single (reference)	–	–	–	–	–	–	–
HIV/AIDS workplace prevention program:	.104	.037	.105	2.834	.005	.032	.076
Management and services component
HIV/AIDS workplace prevention program: Training component	.007	.037	.007	.200	.842	−.065	.080
R	.219
R square	.048
Adjusted R square	.040
Std. error of the estimate	.96859

Table 5. Logistic regression analysis of the effect of HIV/AIDS prevention program components on perceived accessibility to condoms among 699 young factory workers (aged 18–24), controlling for individual socio-demographic characteristics.

Independent variables	B	S.E.	Wald	df	Sig.	Exp(B)	95.0% C.I. for EXP(B)
							Lower	Upper
Age	.029	.089	.102	1	.749	1.029	.864	1.226
Gender
Male	1.440	.432	11.102	1	.001	4.221	1.809	9.848
Female (reference)	–	–	–	–	–	–	–	–
Education
Higher than high school	.533	.401	1.770	1	.183	1.705	.777	3.740
High school and lower (reference)	–	–	–	–	–	–	–	–
Marital status
Married and ever-married	1.090	.377	8.374	1	.004	2.975	1.422	6.226
Single (reference)	–	–	–	–	–	–	–	–
HIV/AIDS workplace prevention program:	1.025	.459	4.987	1	.026	2.788	1.134	6.855
Management and services component
HIV/AIDS workplace prevention program: Training component	.190	.210	.821	1	.365	1.209	.802	1.824
Constant	1.491	1.912	.608	1	.435	4.443
−2 Log likelihood	294.161
Cox and Snell R square	.048
Nagelkerke R square	.128

Table 6. Logistic regression analysis of the effect of HIV/AIDS prevention program components on condom use with regular partners among 520 young factory workers (aged 18–24), controlling for individual socio-demographic characteristics.

Independent variables	B	S.E.	Wald	df	Sig.	Exp(B)	95.0% C.I. for EXP(B)
							Lower	Upper
Age	−.079	.063	1.545	1	.214	.924	.816	1.047
Gender
Male	.602	.235	6.562	1	.010	1.826	1.152	2.895
Female (reference)	–	–	–	–	–	–	–	–
Education
Higher than high school	−.512	.251	4.154	1	.042	.599	.366	.981
High school and lower (reference)	–	–	–	–	–	–	–	–
Marital status
Married and ever-married	−.1.922	.260	54.526	1	.000	.146	.088	.244
Single (reference)	–	–	–	–	–	–	–	–
HIV/AIDS workplace prevention program:	.221	.108	4.210	1	.040	1.247	1.010	1.540
Management and services component
HIV/AIDS workplace prevention program: Training component	.139	.108	1.667	1	.197	1.149	.931	1.419
Constant	1.420	1.364	1.084	1	.298	4.136
−2 Log likelihood	499.395
Cox and Snell R square	.185
Nagelkerke R square	.269