Abstract
Background
Alcohol is associated with a multitude of severe health consequences. While risk behaviours related to illicit drug use are commonly studied among people who inject drugs (PWID), the role of alcohol use has received substantially less attention in this population. We explored whether drug and sexual risk behaviours as well as experiences of violence were associated with hazardous alcohol use in a cohort of PWID.
Methods
Analyses were conducted using observational data from a prospective cohort of community-recruited HIV-negative PWID in Vancouver, Canada. We used the US National Institute on Alcohol Abuse and Alcoholism definition of hazardous alcohol use (i.e., > 14 drinks/week or > 4 drinks on one occasion for men, and > 7 drinks/week or > 3 drinks on one occasion for women.) We used multivariable generalized estimating equations to identify factors associated with hazardous alcohol use.
Results
Between 2006 and 2012, 1114 HIV-negative individuals were recruited, and 186 (16.7%) reported hazardous alcohol use in the previous six months at baseline. In multivariable GEE analyses, having multiple sex partners (Adjusted Odds Ratio [AOR] = 1.25), history of sexually transmitted infection (AOR = 1.50), experiencing violence (AOR = 1.36) and incarceration (AOR = 1.29) were each independently associated with hazardous alcohol use. Caucasian ethnicity (AOR = 0.56), ≥ daily heroin injection (AOR = 0.81) and engagement in addiction treatment (AOR = 0.84) were negatively associated with hazardous alcohol use (all p <0.05).
Conclusions
A considerable proportion of PWID reported hazardous alcohol use, which was independently associated with reporting sexual, but not drug-related, HIV risk behaviours and experiencing recent violence. Findings suggest a need to integrate regular screening and evidence-based alcohol interventions into treatment efforts for PWID.
Keywords: injection drug use, alcohol use, violence, HIV transmission
Introduction
Hazardous alcohol use is ranked among the top risk factors for disease, disability and death and is estimated to account for approximately 6% of all premature deaths worldwide (Lim et al., 2012, 2011, 2014b). Hazardous alcohol use is common among people who inject drugs (PWID), ranging from 11 to 57% across settings (Le Marchand et al., 2013, Stein et al., 2000, Arasteh and Des Jarlais, 2009). However, while risk behaviours related to illicit drug use have been extensively studied among PWID, the impacts of alcohol use in this population have received substantially less attention. This is an important relative gap in the literature given that alcohol has been linked with a range of harms including HIV epidemics globally (Baliunas et al., 2010, Cook and Clark, 2005, Fisher et al., 2007, Kalichman et al., 2007). Poorer outcomes have also been documented for individuals with HIV infection who drink alcohol, including increased risks of suboptimal adherence to antiretroviral therapy and lower rates of HIV RNA viral load suppression (Hendershot et al., 2009, Palepu et al., 2003, Samet et al., 2007, Wu et al., 2011).
Associations between hazardous alcohol use and sexual risk taking behaviours have been observed among PWID in some settings (Stein et al., 2001, Kral et al., 2001, Arasteh et al., 2008, Rees et al., 2001), while associations with injection-related risk behaviours, including sharing used needles, have been observed elsewhere (Matos et al., 2004, Stein et al., 2000). Some studies suggest that the disinhibiting effects of acute alcohol intoxication lead to increased likelihood of engaging in risky sexual and drug use behaviours, independent of potential confounding due to personality factors such as sensation seeking (Rehm et al., 2012, Shuper et al., 2010). There is also evidence to suggest that the disinhibitory effects of acute alcohol ingestion play a role in violent victimisation and perpetration among PWID (Dietze et al., 2013, Marshall et al., 2008). However, earlier meta-analyses examining alcohol use and event-level behaviours such as sex without a condom have shown mixed results (Shuper et al., 2009, Weinhardt and Carey, 2000, Woolf and Maisto, 2009). The substantial heterogeneity of findings pertaining to sexual and drug-related risk behaviours among substance-using populations who drink alcohol may in part be attributed to varied definitions of alcohol use (Braithwaite et al., 2008). Some studies measure quantity and frequency patterns of alcohol use using various threshold cut-offs to define hazardous alcohol use (Dietze et al., 2013). Others use diagnostic criteria such as the Diagnostic Statistical Manual criteria that defines alcohol use disorder in relation to problems experienced as a result of drinking (2014a, Moss et al., 2015). It appears that measures of at-risk drinking based on quantity and frequency calculations of alcohol intake are more useful than quantity measures alone or diagnostic criteria to assess harms (Braithwaite et al., 2008, Martin et al., 2008, Agrawal et al., 2011, Stahre et al., 2006).
Thus, the purpose of this longitudinal study was to examine the prevalence and correlates of hazardous alcohol use among a cohort of HIV-negative PWID in Vancouver, Canada, using the National Institute on Alcohol Abuse and Alcoholism (NIAAA) threshold definition for hazardous drinking (2007). Particular attention was paid to potentially modifiable HIV-related drug and sexual risk behaviours as well as experiences of violence, given previous studies suggesting links between violence and alcohol use among PWID (Dietze et al., 2013, Marshall et al., 2008, Darke et al., 2010).
Materials and Methods
Data for this study were collected from the Vancouver Injection Drug Users Study (VIDUS), a prospective cohort of HIV-negative PWID in Vancouver, Canada. Detailed descriptions of sampling and recruitment procedures have been described elsewhere (Strathdee et al., 1998). Data for this analysis were collected from December 2005 – May 2012.
Eligibility criteria at enrolment included: (1) being aged 18 years or older, (2) any injection drug use in the previous month, (3) current residence in the Greater Vancouver Regional District, (4) being HIV-seronegative, and (5) provision of written informed consent. Participants were recruited through extensive street-based outreach and snowball sampling focused on the Downtown Eastside neighbourhood, an area including high levels of HIV infection and injection drug use. Participants completed an interviewer-administered questionnaire at enrollment and semi-annually pertaining to sociodemographic information, drug use patterns, and sexual and drug-related risk behaviours. Blood samples were collected for HIV and HCV serology. Participants received a $20 CAD monetary compensation at each study visit. The VIDUS cohort was approved by the research ethics board of Providence Health Care and the University of British Columbia.
The primary outcome in our analysis was “hazardous alcohol use” in the previous six months. This was defined in accordance with the NIAAA definition of risky alcohol use, specifically, >14 drinks/week or >4 drinks on one occasion for men <65 years of age, and >7 drinks/week or >3 drinks on one occasion for all women and men ≥ 65 years of age (2007). A standard drink is defined as one 12-ounce bottle of beer, one 5-ounce glass of wine, or 1.5 ounces of distilled spirits (2007).
Socio-demographic explanatory variables of interest included age (treated as a continuous variable), gender (female vs. male), Caucasian ethnicity (yes vs. no), and currently living in unstable housing, defined as staying in a hotel room, shelter/hostel or treatment/recovery house, having no fixed address/sleeping on the street, or residing in jail (yes vs. no). Drug use variables of interest referring to behaviours in the previous six months included non-fatal overdose (yes vs. no), ≥ daily crack cocaine smoking (yes vs. no), ≥ daily cocaine injection (yes vs. no), ≥ daily heroin injection (yes vs. no), and receptive syringe sharing (yes vs. no). Sexual behaviours of interest included self-reported history of any diagnosed sexually transmitted infection (STI) ever in the past (yes vs. no), number of sex partners in the past six months (≤ 1 vs. 2-10 vs. >10), having sex with the same gender in the past six months (yes vs. no), and involvement in sex work in the past six months (yes vs. no). Other variables of interest included being a victim of violence, defined as having been attacked or assaulted in the previous six months (yes vs. no), incarceration, defined as being in detention, prison, drunk tank, or jail overnight or longer in the previous six months (yes vs. no), accessing any kind of alcohol or drug treatment in the previous six months (yes vs. no), and depression at baseline (Center for Epidemiologic Studies Depression Scale [CES-D] score of ≥16 vs. <16 (Beck et al., 1996).
First, we compared the baseline characteristics of the sample stratified by hazardous alcohol use in the previous six months using logistic regression. Then, for the univariable analyses, we used generalized estimating equations (GEE) to examine relationships between all explanatory variables and hazardous alcohol use. Since analyses of factors potentially associated with hazardous alcohol use included serial measures for each subject, we used GEE for binary outcomes with logit-link for the analysis of correlated data. These methods determine factors associated with hazardous alcohol use throughout the study period and provide standard errors adjusted by multiple observations per person using an exchangeable correlation structure. Therefore, this analysis considered data from every participant follow-up visit. To adjust for potential confounding, all variables that were p < 0.10 in univariable GEE analyses were initially included in a full multivariable model. A backward model selection procedure was used to identify the model with the best overall fit, as indicated by the lowest quasilikelihood under the independence model criterion value (Cui, 2007). Statistical analyses were performed using SAS software version 9.3 (SAS, Cary, NC). All reported p-values are two-sided and considered significant at p < 0.05.
In a sub-analysis, we provided descriptive statistics to examine the relationship of the perpetrators among participants who reported both hazardous alcohol use and being a victim of violence. The relationship with the perpetrator was allocated into the following categories: stranger, acquaintance (friend, casual sex partner, family member, inmate or neighbour), police or security guard, drug dealer, partner (husband/wife, boyfriend/girlfriend, common-law partner or regular sex partner), or sex work client.
Results
A total of 1114 participants were recruited into the VIDUS cohort between December 2005 and May 2012. The median number of study visits per person was 6 (interquartile range [IQR]: 3 - 9) visits. Among the 1114 participants, 112 had only one study visit and 1002 had follow-up visits. For the 1002 participants who had follow-up visits, the total follow-up time was 4416 person-years, and the median follow-up time per person was 63.4 (IQR: 35.9 - 70.0) months.
At study entry, the median age was 41 (IQR: 25 - 47) years, 366 (32.8%) were female, 713 (64.0%) were Caucasian, and 750 (67.3%) were currently living in unstable housing (Table I). Overall, 186 (16.7%) participants reported hazardous alcohol use in the previous six months at baseline.
Table I.
Baseline characteristics stratified by hazardous alcohol use (n = 1114).
| Hazardous alcohol usea | ||||
|---|---|---|---|---|
|
Characteristic |
Yes n (%) 186 (16.7) |
No n (%) 928 (83.3) |
ORb (95% CIc) |
p-value |
| Median age (IQR d) | 41 (33-47) | 41 (35-47) | 0.99 (0.97 – 1.01) | 0.199 |
| Gender | ||||
| Female | 70 (37.6) | 296 (31.9) | 1.29 (0.93 – 1.79) | 0.129 |
| Male | 116 (62.4) | 632 (68.1) | ||
| Caucasian ethnicity | ||||
| Yes | 100 (53.8) | 613 (66.1) | 0.60 (0.43 – 0.82) | 0.002 |
| No | 86 (46.2) | 315 (33.9) | ||
| Currently in unstable housing | ||||
| Yes | 109 (58.6) | 641 (69.1) | 0.62 (0.45 – 0.86) | 0.004 |
| No | 77 (41.4) | 282 (30.4) | ||
| STI | ||||
| Yes | 89 (47.8) | 351 (37.8) | 1.51 (1.10 – 2.07) | 0.011 |
| No | 97 (52.2) | 577 (62.2) | ||
| Number of sex partners a | ||||
| > 10 | 11 (5.9) | 32 (3.4) | 1.92 (0.95 – 3.92) | 0.071 |
| 2-10 | 47 (25.3) | 169 (18.2) | 1.56 (1.07 – 2.26) | 0.020 |
| ≤ 1 | 127 (68.3) | 711 (84.8) | ||
| Sex with same gender a | ||||
| Yes | 12 (6.5) | 32 (3.5) | 1.93 (0.98 – 3.82) | 0.059 |
| No | 174 (93.5) | 896 (96.5) | ||
| Sex work involvement a | ||||
| Yes | 33 (17.7) | 121 (13.0) | 1.44 (0.94 – 2.19) | 0.091 |
| No | 153 (82.3) | 807 (87.0) | ||
| Daily heroin injection a | ||||
| Yes | 47 (25.3) | 297 (32.0) | 0.71 (0.50 – 1.02) | 0.065 |
| No | 139 (74.7) | 627 (67.6) | ||
| Daily cocaine injection a | ||||
| Yes | 22 (11.8) | 86 (9.3) | 1.32 (0.80 – 2.16) | 0.280 |
| No | 163 (87.6) | 838 (90.3) | ||
| Daily crack smoking a | ||||
| Yes | 77 (41.4) | 385 (41.5) | 0.99 (0.72 – 1.36) | 0.946 |
| No | 109 (58.6) | 539 (58.1) | ||
| Receptive syringe sharing a | ||||
| Yes | 20 (10.8) | 79 (8.5) | 1.32 (0.78 – 2.21) | 0.300 |
| No | 155 (84.4) | 816 (83.9) | ||
| Non-fatal overdose a | ||||
| Yes | 16 (8.6) | 63 (6.8) | 1.29 (0.73 – 2.29) | 0.382 |
| No | 168 (90.3) | 854 (92.0) | ||
| Incarceration a | ||||
| Yes | 39 (21.0) | 164 (17.7) | 1.23 (0.83 – 1.82) | 0.304 |
| No | 145 (78.0) | 749 (80.7) | ||
| Addiction treatment a | ||||
| Yes | 67 (36.0) | 459 (49.5) | 0.56 (0.41 – 0.78) | 0.001 |
| No | 118 (63.4) | 454 (48.9) | ||
| Victim of violence a | ||||
| Yes | 59 (31.7) | 195 (21.0) | 1.71 (1.21 – 2.42) | 0.002 |
| No | 126 (67.7) | 713 (76.8) | ||
| Depression a | ||||
| CES-D score ≥ 16 | 105 (56.5) | 529 (57.0) | 1.16 (0.80 – 1.68) | 0.439 |
| CES-D score < 16 | 48 (25.8) | 280 (30.2) | ||
Note: Column percentages may not necessarily sum to 100% due to missing data or rounding error;
Denotes activities in the previous six months;
OR = Odds Ratio;
CI = Confidence Interval;
IQR = interquartile range
During the study period, 415 (37.2%) ever reported hazardous alcohol use in the previous six months. The overall HIV incidence rate was 6.6 (95% CI = 4.6 – 9.5) cases per 1000 person-years. The HIV incidence rate was not statistically significant between participants who ever had hazardous alcohol use and those who never had hazardous alcohol use during the study period (p-value = 0.373). The overall mortality rate was 2.18 (95% CI = 17.9 – 26.5) cases per 1000 person-years. The mortality rate has no statistically significant difference between participants who ever had hazardous alcohol use and those who never had hazardous alcohol use during the study period (p-value = 0.117).
Univariable and multivariable GEE analyses of factors associated with hazardous alcohol use are presented in Table II. In multivariable GEE analysis, past history of a STI (Adjusted Odds Ratio [AOR] = 1.41, 95% Confidence Interval [CI] = 1.11 – 1.80), 2-10 sex partners (vs. 0 or 1 partner) in the last six months (AOR = 1.25, 95% CI = 1.04 – 1.51), incarceration in the last six months (AOR = 1.24, 95% CI = 1.04 – 1.49), and being a victim of violence in the last six months (AOR = 1.33, 95% CI = 1.13 – 1.55) were independently and positively associated with hazardous alcohol use. Caucasian ethnicity (AOR = 0.59, 95% CI = 0.47 – 0.75), ≥ daily heroin injection use in the last six months (AOR = 0.72, 95% CI = 0.59 – 0.88) and enrolment in any addiction treatment in the last six months (AOR = 0.83, 95% CI = 0.71 – 0.97) were negatively associated with hazardous alcohol use.
Table II.
Univariable and multivariable GEEa analyses of factors associated with hazardous alcohol useb among VIDUS participants (n = 1114).
| Characteristic | Odds Ratio (95% CIc) |
p - value | Adjusted Odds Ratio (95% CIc) |
p - value |
|---|---|---|---|---|
| Age | ||||
| Per year older | 0.99 (0.98 – 1.00) | 0.176 | ||
| Caucasian ethnicity | ||||
| (yes vs. no) | 0.56 (0.45 – 0.71) | < 0.001 | 0.59 (0.47 – 0.75) | < 0.001 |
| Gender | ||||
| (female vs. male) | 1.17 (0.92 – 1.51) | 0.203 | ||
| Currently in unstable housing | ||||
| (yes vs. no) | 1.02 (0.87 – 1.19) | 0.838 | ||
| STI | ||||
| (yes vs. no) | 1.50 (1.18 – 1.91) | 0.001 | 1.41 (1.11 – 1.80) | 0.005 |
| Number of sex partnerse | ||||
| (2-10 vs. ≤ 1) | 1.35 (1.12 – 1.62) | 0.001 | 1.25 (1.04 – 1.51) | 0.019 |
| (> 10 vs. ≤ 1) | 1.54 (0.95 – 2.47) | 0.078 | 1.41 (0.85 – 2.33) | 0.181 |
| Sex with same gender e | ||||
| (yes vs. no) | 1.46 (1.03 – 2.07) | 0.034 | 1.30 (0.92 – 1.82) | 0.136 |
| Sex work involvement e | ||||
| (yes vs. no) | 1.15 (0.88 – 1.50) | 0.308 | ||
| Daily heroin injectione | ||||
| (yes vs. no) | 0.81 (0.67 – 0.98) | 0.026 | 0.72 (0.59 – 0.88) | 0.001 |
| Daily cocaine injection e | ||||
| (yes vs. no) | 0.96 (0.74 – 1.24) | 0.751 | ||
| Daily crack smoking e | ||||
| (yes vs. no) | 1.10 (0.95 – 1.26) | 0.216 | ||
| Receptive syringe sharinge | ||||
| (yes vs. no) | 1.31 (0.98 – 1.77) | 0.073 | 1.30 (0.96 – 1.77) | 0.095 |
| Non-fatal overdose e | ||||
| (yes vs. no) | 1.10 (0.87 – 1.39) | 0.421 | ||
| Incarceratione | ||||
| (yes vs. no) | 1.30 (1.09 – 1.54) | 0.004 | 1.24 (1.04 – 1.49) | 0.019 |
| Addiction treatmente | ||||
| (yes vs. no) | 0.84 (0.72 – 0.98) | 0.028 | 0.83 (0.71 – 0.97) | 0.021 |
| Victim of violencee | ||||
| (yes vs. no) | 1.36 (1.16 – 1.58) | < 0.001 | 1.33 (1.13 – 1.55) | 0.001 |
| Depressione | ||||
| CES-D score ≥ 16 vs. < 16 | 1.15 (0.88 – 1.51) | 0.303 |
Note:
GEE = Generalized Estimating Equations;
hazardous alcohol use = > 14 drinks/week or > 4 drinks on one occasion for men, and > 7 drinks/week or > 3 drinks on one occasion for women;
CI = Confidence Interval;
Denotes activities in the previous 6 months.
In the sub-analysis, the relationship with the perpetrator among those who reported both hazardous alcohol use and experiencing violence in the previous six months was most often a stranger (40%) or acquaintance (29%) (Table III).
Table III.
Relationship to perpetrator among participants who reported being victims of violence and hazardous alcohol use (n = 270).
| Relationship to perpetrator | N (%) |
|---|---|
| Stranger | 109 (40.4) |
| Acquaintancea | 78 (28.9) |
| Police or security guard | 41 (15.2) |
| Drug dealer | 26 (9.6) |
| Partnerb | 21 (7.8) |
| Sex work client | 8 (3.0) |
Note:
Acquaintance includes friend, casual sex partner, family member, inmate or neighbour;
Partner includes husband/wife, boyfriend/girlfriend, common-law partner or regular sex partner.
Discussion
We observed that 16.7% of our sample of PWID met the NIAAA definition for hazardous drinking at baseline. After intensive covariate adjustment, hazardous alcohol use was independently associated with HIV-related sexual risk behaviours, including past history of having a STI and increased number of sex partners, but not injection-related HIV risk behaviours. Hazardous alcohol use was also associated with other markers of vulnerability including being a victim of physical violence.
We found independent associations between hazardous drinking and two measures of sexual risk, both increased number of sex partners and acquisition of STIs. Past research has demonstrated that the acute intoxicating effects of alcohol may alter inhibition, self-regulation, and increase sexual arousal, negatively impacting ability to adhere to or negotiate safe sex and consistent condom use (Ehrenstein et al., 2004, MacDonald et al., 2000, Stone et al., 1999). The ALIVE cohort of PWID in Baltimore, USA, demonstrated a dose-response relationship between alcohol consumption and subsequent HIV acquisition (Howe et al., 2011). Though not directly studied here, the observed associations with both number of sex partners and past history of STIs do suggest that PWID with hazardous alcohol use in our setting may have increased vulnerability to HIV-infection via increased sexual, rather than injection-related, risk behaviours. Alcohol use and risky sexual behaviour are known to co-occur among individuals with risk-taking personality characteristics (Trobst et al., 2000). In fact, one study examining event-level associations among HIV-uninfected PWID found that prior drug and sexual risk behaviours were associated with subsequent hazardous alcohol use (Sander et al., 2010) (Ehrenstein et al., 2004, MacDonald et al., 2000). Additionally, it should be noted that we did not find a significant association between hazardous alcohol use and very high numbers of sex partners (i.e., greater than 10 in the last six months). It may be individuals who had very high numbers of sex partners were more likely to be engaged in sex work, an activity that was not found to be associated with hazardous alcohol use in our study. Further, sexual risk may be mitigated among those with multiple partners if condoms are used more frequently. Event-level associations between alcohol use and engagement in HIV-related risk behaviours in our setting warrant further exploration.
The association observed here between hazardous alcohol use and experiences of physical violence are in keeping with previous studies of PWID linking alcohol use with violent victimization and perpetration (Dietze et al., 2013, Marshall et al., 2008, Chermack and Blow, 2002, Darke et al., 2010). Among those who reported both hazardous drinking and being a victim of violence, the perpetrator was most often a stranger or an acquaintance. The association with violent victimization is notable given that we controlled for important confounders such as gender and other substance use, in particular cocaine use. Acute cocaine use is known to be independently associated with violent perpetration and victimization, both alone and in combination with acute alcohol use (Chermack and Blow, 2002, Chermack et al., 2010, Kraanen et al., 2014). Our findings demonstrating a strong association of violence with hazardous alcohol use underscores the need to screen for trauma and incorporate trauma-informed care approaches in the treatment of PWID who drink alcohol (Killeen et al., 2015, Mills et al., 2012, 2014c). Understanding the interplay between alcohol use, experiences of violence, and ability to negotiate sexual risk, will be important to understanding the risk environment for PWID who drink.
Concurrent use of central nervous system depressants, such as alcohol in combination with opioids, has been associated with both fatal and non-fatal overdose (Gossop et al., 2002, Buxton et al., 2009, Pollini et al., 2006). However, there was no significant association between hazardous alcohol use and non-fatal overdose in our study. Hazardous alcohol users were less likely to use heroin daily, suggesting that concomitant at-risk drinking and frequent opioid use, known to predispose to fatal overdose (Dietze et al., 2005, Darke and Zador, 1996), may not be a common risk pattern in our setting. In some settings in North America, heavy drug use and homelessness, but not alcohol use, have been shown to be major predictors of all-cause mortality in PWID (Walley et al., 2008, Evans et al., 2012, Morrison, 2009). Of note, binge alcohol use was associated with elevated all-cause mortality in our setting, with one quarter of these deaths due to accidental poisonings (Johnson et al., 2015). Though the NIAAA criteria offer a robust definition of hazardous alcohol use by including both quantity and frequency measures of drinking, dedicated studies examining relationships between specific patterns of alcohol and drug use with overdose and all-cause mortality warrant further investigation.
Although the specific types of drug and alcohol treatment accessed by participants in our study were not examined, the finding that hazardous alcohol use was negatively associated with accessing addiction treatment highlights the urgent need to implement efficacious evidence-based interventions for alcohol use in our setting. Furthermore, given the association between hazardous alcohol use and the risk factors described herein, assessment of alcohol use and integration of alcohol-specific interventions into addiction treatment and HIV prevention programs should be undertaken. Specifically, our findings indicate that the Alcohol Use Disorders Identification Test (AUDIT) or other well-validated standard screening techniques should be routinely performed to ascertain which individuals require such interventions (Saunders et al., 1993, Clark and Moss, 2010). The use of screening and brief intervention (SBIRT) for hazardous alcohol use is endorsed by the NIAAA (NIAAA, 2004/2005). Addiction treatment services should also adopt the use of evidence-based relapse prevention medications that have demonstrated effectiveness in reducing problematic alcohol use but are currently underutilized (Swift and Aston, 2015).
Our study has several limitations. First, this sample was not recruited at random, which may limit the generalizability of the findings. Second, our data were compiled from self-reported information of behaviours participants may have felt were sensitive in nature. Thus, socially desirable reporting among our sample is possible. If this source of bias were present, however, the expected effect would be to underestimate the true prevalence of risk behaviours and bias our findings towards the null. Use of self-report to measure alcohol intake may also be subject to problems of recall. However, previous studies have found phosphatidylethanol (PEth) measurement as a biomarker for alcohol consumption to be well correlated with self-reported measures of alcohol consumption among PWID (Jain et al., 2014). Third, given the observational nature of this study, we cannot infer causal links between hazardous alcohol use and the injecting and sexual behaviours we studied.
Our findings indicate that hazardous alcohol use is associated with serious adverse harms, including experiencing physical violence and increased sexual risk practices. Given that risky alcohol use is frequently overlooked among this high-risk population, these findings lend support for the incorporation of alcohol-specific addiction treatment and public health interventions into HIV prevention programs for PWID. Among hazardous drinkers, sexual risk behaviour screening and intervention is important to HIV prevention efforts for PWID.
Acknowledgements
The authors thank the study participants for their contribution to the research, as well as current and past researchers and staff. The study was supported by the US National Institutes of Health (R01DA011591, U01DA038886). This research was undertaken, in part, thanks to funding from the Canada Research Chairs program through a Tier 1 Canada Research Chair in Inner City Medicine which supports Dr. Evan Wood. Dr. Kanna Hayashi is supported by the Canadian Institutes of Health Research New Investigator Award (MSH-141971).
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