Frequent food insecurity among injection drug users: correlates and concerns

BMC Public Health

Table 3 Logistic regression results for each dependent variable: re-use of needles, re-use of cookers, re-use of filters and re-use of filters

Independent variables	Adjusted ORs*				Hosmer Lemoshow Test
	AOR	95% C.I		p	χ ²(df)	p
Logistic regression 1: Re-use of needles
Age ≥ 25 years	.280	.087	.902	.033	4.157 (6)	ns
Food insecure	2.743	1.056	7.126	.038
HCV +ve	0.341	0.127	0.913	.032
Logistic regression 2: Re-use of cookers
HCV +ve	0.445	.206	.961	.039	1.566 (4)	ns
Food insecure	1.904	1.023	4.078	.049
Logistic regression 3: Re-use of mixing/rinsing water
Food insecure	2.591	.982	6.837	.054	0.479 (4)	ns
HCV +ve	0.311	.115	.838	.021
Injected opiates	7.021	0.857	57.517	.069
Logistic regression 4: Re-use of filters
Food insecure	3.112	1.082	8.956	.035	2.930 (5)	ns
HCV +ve	0.265	.088	.792	.017

* Based on bivariate analyses, we entered the following independent variables into the regression analyses - age under 25 years versus 25 years and over, injected outdoors in the past 6 months, self-reported Hepatitis C status positive versus negative, injected opiates in the past 6 months, injected crack cocaine in the past six months and food insecure (i.e., did not have enough to eat because of a lack of money - and above show only variables found to be significant in the logistic regressions. Adjusted odds ratios refer to the contribution of each independent variable after controlling for the contribution of other significant, independent variables in the logistic regression model.

ISSN: 1471-2458