| Title |
Patterns of Drug Use and Drug-related Hospital Admissions in HIV-Positive and -Negative Gay and Bisexual Men
|
|---|---|
| Published in |
AIDS and Behavior, February 2016
|
| DOI | 10.1007/s10461-016-1303-3 |
| Pubmed ID | |
| Authors |
Cecilia L. Moore, Heather F. Gidding, Fengyi Jin, Limin Mao, Kathy Petoumenos, Iryna B. Zablotska, I. Mary Poynten, Garrett Prestage, Matthew G. Law, Andrew E. Grulich, Janaki Amin |
| Abstract |
We aimed to compare rates of illicit drug-related hospitalisations in HIV-negative (HIV-ve) (n = 1325) and HIV-positive (HIV+ve) (n = 557) gay and bisexual men (GBM) with rates seen in the general male population and to examine the association between self-reported illicit drug use and drug-related hospitalisation. Participants were asked how often they used a range of illicit drugs in the previous 6 months at annual interviews. Drug-related hospital admissions were defined as hospital admissions for mental or behavioural disorders due to illicit drug use (ICD 10: F11-16, F18, F19), drug poisoning (T40-T45, T50) or toxic effect of gases (T53, T59, T65). Drug-related hospitalisations were 4.8 times higher in the HIV-ve cohort [SIR 4.75 (95 % CI 3.30-6.91)] and 3.5 times higher in the HIV+ve cohort [SIR 3.51 (1.92-5.88)] compared with the general population. Periods of weekly drug use [IRR 1.86 (1.01-3.46)], poly-drug use [IRR 2.17 (1.07-4.38)] and cannabis use [low use-IRR 1.95 (1.01-3.77), high use-IRR 2.58 (1.29-5.16)] were associated with drug-related hospitalisation in both cohorts, as was being a consistently high meth/amphetamine user throughout follow-up [IRR 3.24 (1.07-9.83)] and being an inconsistent or consistent injecting drug user throughout follow-up [IRR 3.94 (1.61-9.66), IRR 4.43(1.04-18.76), respectively]. Other risk factors for drug-related hospitalisation indicated the likelihood of comorbid drug and mental health issues in GBM hospitalised for drug use. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 15% |
| Student > Ph. D. Student | 6 | 12% |
| Student > Bachelor | 6 | 12% |
| Researcher | 4 | 8% |
| Student > Postgraduate | 4 | 8% |
| Other | 10 | 19% |
| Unknown | 14 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 23% |
| Nursing and Health Professions | 8 | 15% |
| Psychology | 7 | 13% |
| Social Sciences | 4 | 8% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 17 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 October 2016.
All research outputs
#19,246,640
of 23,849,058 outputs
Outputs from AIDS and Behavior
#3,007
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Outputs of similar age
#292,934
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Outputs of similar age from AIDS and Behavior
#73
of 84 outputs
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