| Literature DB >> 23216869 |
Carol Strike1, Katherine Rudzinski, Jessica Patterson, Margaret Millson.
Abstract
BACKGROUND: Food insecurity and nutrition are two topics that are under-researched among injection drug users (IDUs). Our study examined the extent and correlates of food insecurity among a sample of IDUs and explored whether there is an association between food insecurity and injection-related HIV risk.Entities:
Mesh:
Year: 2012 PMID: 23216869 PMCID: PMC3540007 DOI: 10.1186/1471-2458-12-1058
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Demographic characteristics and injection risk behaviours over the past 6 months
| Male | 72.2% |
| Never married | 54% |
| Completed < high school | 53% |
| Employed full or part time | 5.6% |
| Not employed or disabled | 86.1% |
| Self-employed | 7.6% |
| Average 6 month income all sources | $4,000 |
| Depressed/hopeless past 30days | 55% |
| Moves 0 to 2 times | 54% |
| Injected crack | 80% |
| Injected opiates | 83% |
| Injected outside | 78% |
| Slept outdoors | 51% |
| HIV positive (self-reported) | 3% |
| Hepatitis C positive (self-reported) | 53% |
| Re-used a needle | 21% |
| Reused water | 19% |
| Reused a cooker | 37% |
| Re-used a filter | 18% |
Food insecurity by gender, age, injected outdoors, self-reported HCV status, injected opiates and injected cocaine
| | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 52.4 | 24.8 | 22.8 | | | 54.5 | 22.1 | 23.4 | | | 60.4 | 24.3 | 15.3 | | |
| Gender | |||||||||||||||
| Men | 50.5 | 22.9 | 26.7 | | ns | 53.3 | 21.0 | 25.7 | | ns | 59.6 | 21.2 | 19.2 | | ns |
| Women | 57.5 | 30.0 | 12.5 | | | 57.5 | 25.0 | 17.5 | | | 62.5 | 32.5 | 5.0 | | |
| Age | |||||||||||||||
| <25 | 60.0 | 13.3 | 26.7 | | ns | 53.3 | 13.3 | 13.3 | | ns | 53.3 | 13.3 | 13.3 | | ns |
| ≥ 25 | 51.5 | 26.2 | 22.3 | | | 54.6 | 23.1 | 22.3 | | ns | 61.2 | 25.6 | 13.2 | | ns |
| Injected outdoors | |||||||||||||||
| Yes | 55.9 | 20.7 | 23.4 | | ns | 55.9 | 17.1 | 27.0 | 9.160 | .001 | 62.2 | 20.7 | 17.1 | | ns |
| No | 38.7 | 41.9 | 19.4 | | | 45.2 | 41.9 | 12.9 | | | 51.6 | 38.7 | 9.7 | | |
| Self- reported HCV status | |||||||||||||||
| -ve | 54.1 | 23.0 | 23.0 | | ns | 52.5 | 16.4 | 31.1 | | ns | 57.4 | 21.3 | 21.2 | | |
| +ve | 50.7 | 26.1 | 23.2 | | | 52.2 | 29.0 | 18.8 | | | 59.4 | 30.4 | 10.1 | | |
| Injected opiates in the past 6 months | |||||||||||||||
| Yes | 58.3 | 20.8 | 20.8 | | ns | 58.3 | 12.5 | 29.2 | | ns | 66.7 | 12.5 | 20.8 | | ns |
| No | 51.7 | 25.8 | 22.5 | | | 53.3 | 24.2 | 22.5 | | | 59.2 | 26.7 | 14.2 | | |
| Injected crack cocaine in the past 6 months | |||||||||||||||
| Yes | 47.8 | 28.3 | 23.9 | | ns | 45.7 | 58.2 | 30.4 | | ns | 50.0 | 32.6 | 17.4 | | ns |
| No | 55.1 | 23.5 | 21.4 | | | 23.9 | 21.4 | 20.4 | | | 65.3 | 20.4 | 14.3 | | |
| | | | | | | ||||||||||
| | Daily/Weekly | Monthly | Never | p | Daily/Weekly | Monthly | Never | p | | | | | | ||
| Total | 57.6 | 24.3 | 18.1 | | | 33.3 | 52.1 | 14.6 | | | | | | | |
| Gender | |||||||||||||||
| Men | 57.7 | 25.0 | 17.3 | 6.596 | .037 | 30.8 | 50.0 | 19.2 | 6.593 | .037 | | | | | |
| Women | 57.5 | 22.5 | 20.0 | | | 40.0 | 57.5 | 2.5 | | | | | | | |
| Age | | | | | | | | | | | | | | | |
| <25 | 60.0 | 26.7 | 13.3 | | ns | 40.0 | 57.5 | 2.5 | 6.337 | .042 | | | | | |
| ≥ 25 | 40.0 | 26.7 | 33.3 | | ns | 32.6 | 55.0 | 12.4 | | | | | | | |
| Injected outdoors | |||||||||||||||
| Yes | 55.9 | 17.1 | 9.160 | 27.0 | .001 | 36.0 | 46.8 | 17.1 | 7.377 | .025 | | | | | |
| No | 45.2 | 41.9 | 12.9 | | | 19.4 | 74.2 | 6.5 | | | | | | | |
| Self- reported HCV status | |||||||||||||||
| -ve | 59.0 | 24.6 | 16.4 | | ns | 49.3 | 31.0 | 19.7 | | ns | | | | | |
| +ve | 55.1 | 23.5 | 21.7 | | | 46.1 | 43.8 | 10.1 | | | | | | | |
| Injected opiates in the past 6 months | |||||||||||||||
| Yes | 41.7 | 29.2 | 29.2 | | ns | 60.8 | 23.3 | 15.8 | | ns | | | | | |
| No | 41.7 | 54.2 | 4.2 | | | 31.7 | 51.7 | 16.7 | | | | | | | |
| Injected crack cocaine in the past 6 months | |||||||||||||||
| Yes | 52.2 | 23.9 | 23.9 | | ns | 60.2 | 24.5 | 15.3 | ns | | | | | | |
| No | 30.4 | 47.8 | 21.7 | 34.7 | 54.1 | 11.2 | |||||||||
Logistic regression results for each dependent variable: re-use of needles, re-use of cookers, re-use of filters and re-use of filters
| 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 | | |
| HCV +ve | 0.445 | .206 | .961 | .039 | 1.566 (4) | ns |
| Food insecure | 1.904 | 1.023 | 4.078 | .049 | | |
| 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 | | |
| 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.