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PLOS ONE logoLink to PLOS ONE
. 2015 May 11;10(5):e0126236. doi: 10.1371/journal.pone.0126236

Alcohol Consumption among HIV-Infected Persons in a Large Urban HIV Clinic in Kampala Uganda: A Constellation of Harmful Behaviors

Bonnie Wandera 1,2,*, Nazarius Mbona Tumwesigye 1, Joaniter Immaculate Nankabirwa 3, Andrew Ddungu Kambugu 2, Rosalind Parkes-Ratanshi 2, David Kaawa Mafigiri 4, Saidi Kapiga 5, Ajay K Sethi 6
Editor: Jessica E Haberer7
PMCID: PMC4427399  PMID: 25962171

Abstract

Introduction

Alcohol use by persons living with HIV/AIDS (PLWHA) negatively impacts the public health benefits of antiretroviral therapy (ART). Using a standardized alcohol assessment tool, we estimate the prevalence of alcohol use, identify associated factors, and test the association of alcohol misuse with sexual risk behaviors among PLWHA in Uganda.

Methods

A cross-section of PLWHA in Kampala were interviewed regarding their sexual behavior and self-reported alcohol consumption in the previous 6 months. Alcohol use was assessed using the alcohol use disorders identification test (AUDIT). Gender-stratified log binomial regression analyses were used to identify independent factors associated with alcohol misuse and to test whether alcohol misuse was associated with risky sexual behaviors.

Results

Of the 725 subjects enrolled, 235 (33%) reported any alcohol use and 135 (18.6%) reported alcohol misuse, while 38 (5.2%) drank hazardous levels of alcohol. Alcohol misuse was more likely among subjects not yet on ART (adjusted prevalence ratio [aPR] was 1.65 p=0.043 for males and 1.79, p=0.019 for females) and those with self-reported poor adherence (aPR for males=1.56, p=0.052, and for females=1.93, p=0.0189). Belonging to Pentecostal or Muslim religious denominations was protective against alcohol misuse compared to belonging to Anglican and Catholic denominations in both sexes (aPR=0.11 for men, p<0.001, and aPR=0.32 for women, p=0.003). Alcohol misuse was independently associated with reporting risky sexual behaviors (aPR=1.67; 95% CI: 1.07–2.60, p=0.023) among males, but not significant among females (aPR=1.29; 95% CI: 0.95–1.74, p=0.098). Non-disclosure of HIV positive status to sexual partner was significantly associated with risky sex in both males (aPR=1.69; p=0.014) and females (aPR 2.45; p<0.001).

Conclusion

Alcohol use among PLWHA was high, and was associated with self-reported medication non-adherence, non-disclosure of HIV positive status to sexual partner(s), and risky sexual behaviors among male subjects. Interventions targeting alcohol use and the associated negative behaviors should be tested in this setting.

Introduction

Increased availability of antiretroviral therapy (ART) in sub-Saharan Africa (SSA) has saved an estimated 9 million life years [1] with more benefits anticipated as new World Health Organization (WHO) guidelines for earlier initiation of ART get fully implemented [2,3].

The public health benefits of ART are dependent on subjects’ adherence to prescribed treatment and adopting behaviors that limit further transmission of HIV from persons living with HIV/AIDS (PLWHA), among a host of other individual, social and health system factors [46]. Recent studies have reported high adherence to ART among PLWHA, reduction in number of sexual partners, and increased condom use after both HIV counseling and testing and after initiation of ART [710]. However, some patients continue to engage in risky behaviors, that could lead to further HIV transmission [11]. PLWHA who report using alcohol have an increased likelihood of engaging in risky sexual activities [12], including unprotected sexual intercourse [1316]. This is particularly problematic in the SSA region where HIV transmission is mainly through the heterosexual transmission route [1]. A meta-analysis by Hendershot and colleagues showed that subjects using alcohol were twice likely to report poor adherence to ART as compared to abstainers [17]. Kalichman and colleagues demonstrated that more than half of PLWHA using alcohol were still potentially infectious based on their plasma HIV viral loads despite being on combination ART [18].

Uganda has one of the highest per capita alcohol consumption levels in SSA [19,20] and frequent heavy episodic drinking is common among Ugandans [21]. Understanding the burden of alcohol use and the associated sexual risk behaviors among PLWHA in the region is essential in designing locally appropriate interventions to reduce alcohol consumption that could potentially lead to reduced HIV transmission risk behaviors. Published studies on alcohol use among PLWHA in SSA are limited by small study populations and do not use standardized alcohol assessments tools, as highlighted in the review by Woolf-King and colleagues [22]. In order to address these limitations, we conducted a large study to estimate the prevalence of any alcohol use, misuse, and hazardous consumption among HIV-infected patients receiving care and treatment at a large HIV clinic in Kampala, Uganda. Additionally the study delineates factors associated with reported alcohol use, and tests whether reported alcohol misuse is independently associated with risky sexual behaviors in this population.

Methods

Study design, setting and population

A cross sectional study was conducted between October 2012 and May 2013 among PLWHA attending the adult Infectious Diseases Institute (IDI) clinic located within the Mulago National Referral and Teaching Hospital campus in Kampala City. This outpatient clinic provides comprehensive HIV prevention, care and treatment at no cost to a total of 10,000 patients with daily clinic visits averaging 180 patients per day. The clinic provides routine group and individual counseling services to all new patients, and thereafter, when needed or when prescribed by the treating clinician. Counseling services include general supportive counseling for positive living, adherence to clinic appointments and prophylaxis treatments, intensive pre-ART counseling, HIV disclosure, reducing risky sexual behaviors, alcohol and drug use, and adherence support services. The clinic runs for eight hours per day from Monday to Friday.

All patients presenting to the clinic were registered upon arrival; we systematically sampled every 15th patient arriving at the clinic and assessed their study eligibility. Patients were included into the study if they were i) aged ≥18 years; ii) capable of answering interview questions as assessed by a Karnofsky clinical performance score >50%; iii) willing to provide written informed consent for study participation; and iv)self-reported as not pregnant, if female.

Data collection

At study enrollment, a structured questionnaire was administered by trained nurse counselors in English or Luganda (the native and most commonly used local language in the clinic catchment region). Demographic characteristics including age, gender, religion, number of children ever born, individual income in the last month, highest educational level attained, and employment status were collected. In addition, information on alcohol consumption, sexual behaviors within the last six months, adherence to prescribed treatment (ART or co-trimoxazole for those not yet on ART) and clinical data was collected. Data on alcohol consumption were collected using the AUDIT questionnaire and additional information on actual days on which alcohol consumption occurred within the past 30 days was collected using the Alcohol Timeline Follow-back method [23]. The AUDIT is an internationally-validated tool for screening alcohol consumption in the recent past (up to 1 year) for use in both clinical and community settings [24]. The AUDIT is a 10-item questionnaire with 8 questions containing 5 response categories and 2 questions having 3 response categories with possible scores of 0–4 for each question. The 10 items consist of 3 questions that assess hazardous alcohol use, 3 questions on dependence symptoms and 4 questions on the harmful alcohol use domain. The sum of the scores from the 10 questions yields the final AUDIT score ranging from 0–40 with higher scores correlated to having an alcohol use disorder. The first 3 items of the AUDIT, which are related to hazardous alcohol consumption (AUDIT-C), have been used separately to screen for alcohol misuse in primary care settings [25]. The AUDIT-C component has a maximum score of 12 points and minimum score of 0 points. Information on the amount of money spent on a typical drinking day in the last 6 months was also collected.

Information collected on sexual behavior was captured once but encompassed a summary of sexual behavior within the last 6 months and included, marital status, engaging in sexual intercourse, total number of sexual partners, condom use at last sexual encounter, consistent condom use at all sexual encounters within the last 6 months, use of alcohol in sexual contexts, having sex while drunk and HIV sero-status of sexual partner(s).

Clinical data were abstracted from subjects’ clinic records; specifically, the WHO HIV clinical stage, nadir and most recent (within last 12 months) CD4+ cell count, and receipt of ART and/or co-trimoxazole. Self-reported adherence was assessed in both ART and non-ART receiving subjects. Among subjects on ART, adherence was based on subjective ranking on a visual analogue scale (VAS) of all antiretroviral drugs taken out of all antiretroviral drugs prescribed within the last 3 months. Among subjects not yet on ART, the VAS was based on co-trimoxazole tablets taken out of all co-trimoxazole prescribed in the last 3 months. All subjects registered in the clinic receive co-trimoxazole (or dapsone) as prophylaxis against respiratory and diarrheal infections that is taken daily even after initiating ART. Depression level was scored using the 10-item Center for Epidemiology Studies on Depression tool (CESD-10), which has been validated in sub-Saharan Africa [26].

Data management and analysis

All data were double entered in a customized Microsoft Access (Redmond, WA, USA) database and exported to SAS V 9.1.3 (SAS Inst., Carry, NC, USA) for statistical analysis.

Analyses were stratified by patient gender due to previously known gender differences in alcohol use and sexual risk behaviors in sub-Saharan Africa [22,27]. Descriptive continuous variables were summarized as medians and interquartile ranges while categorical variables were summarized as percentages.

The outcome of interest, alcohol consumption, was examined as: 1) any alcohol use, 2) alcohol misuse, and 3) hazardous alcohol consumption. The operating definition for any alcohol use was any reported alcohol consumption of any amount at least once in the previous 6 months; alcohol misuse was defined as scoring 3 points or higher on the AUDIT-C tool while hazardous alcohol consumption was defined scoring 8 or more points on the full AUDIT [28,29].

A subject was considered sexually active if they reported engaging in sexual intercourse at least once within the last 6 months. The majority of sexual relationships in this region are reportedly heterosexual, and there was no explicit inquiry on gender of sexual partner(s). Sexual behavior outcomes of interest in the preceding 6 months were classified as risky sex and high-risk sex. Risky sex was defined as reporting either unprotected sexual intercourse with a partner of unknown HIV sero-status or known HIV negative, or reporting sexual intercourse with 2 or more sexual partners irrespective of their HIV sero-status. High-risk sex was defined as reporting both behaviors in the previous 6 months.

Reported alcohol misuse and risky sex were common in the study population. Thus, we examined how these behaviors were associated with factors of interest using log binomial regression. This approach yields the prevalence ratio (PR), which is a better approximation of relative risk than the odds ratio in a cross-sectional study when the prevalence of the outcome of interest is not rare (i.e., >10% of the population), as was the case with both alcohol misuse and risky sexual behavior. The odds ratio tends to overestimate the risk ratio in this context, and distorts interpretation of the strength of association [30].

To identify independent factors associated with alcohol misuse, univariable and multivariable log binomial regression models were built to estimate the relative prevalence of alcohol misuse by the independent variables of interest. During the iterative modeling process some transitional models failed to converge due to numerical instability of the log binomial models, we applied the modified poisson model with robust variance estimates [31]. We constructed univariable models with alcohol misuse as the dependent variable and examined its association with socio-demographic, behavioral, and clinical factors. Unadjusted PR (uPR) and their corresponding 95% confidence intervals (CI) and p-values were estimated. All factors from univariable analyses with probability values of 0.2 or less were candidates for inclusion in multivariable models. Among males, the initial full multivariable model included age, religion, WHO stage of HIV disease, CD4 cell count, ART receipt and adherence to ART or co-trimoxazole. For females, factors fit into the initial full multivariable model were age, religion, ART receipt status, HIV diseases stage CESD score category, and adherence to ART or co-trimoxazole. The modeling process involved a rational iterative removal of factors from a full multivariable model provided the removal did not result in a significant change in the overall model fit as assessed by both the quasi-likelihood information criterion (QIC-U) and/or was conceptually important and/or biologically plausible. To identify statistically significant factors associated with alcohol misuse, the removal process was repeated until no further covariate was eligible for removal. Factors contained in final multivariable models were ART receipt status, religion, and medication adherence and CD4 cell count among males while final models in females contained ART receipt status, religion, and medication adherence and CESD score. The final results are presented as adjusted prevalence ratios (aPR), 95% CIs and corresponding p-values.

To assess whether alcohol misuse was independently associated with reporting any risk sexual behaviors, gender-specific log binomial regression models with risky sex as the outcome and alcohol misuse as the independent predictor were constructed. The iterative modeling procedures described above was carried for this analysis as well.

Ethics Statement

There was no monetary compensation or incentive provided to subjects for study enrolment. The study was approved by the scientific and ethical review boards of IDI, Makerere University School of Public Health Research and Ethics Committee and the Uganda National Council of Science and Technology.

Results

A total of 755 individuals were screened of which 725 (96%) were enrolled. Among the 30 subjects not enrolled, 22 were ineligible, while the remaining 8 mostly reported a lack of time to answer the interview questions.

Descriptive characteristics (Table 1), show the median (interquartile range; IQR) age of participants was 39 (31, 46) years. The majority, 452 (61.3%), were female and 319 (44.0%) were married/cohabiting while 283(39.0%) were separated/divorced. The majority (88.3%) reported some form of employment; data on individual income in the last month was reported by 94% of subjects. Overall, 441/682, 64.7%, earned between 20–400 United States Dollars (USD) in the previous month. Over 80% (n = 597) were receiving ART and 417 (57.5%) were diagnosed as having WHO stage of HIV disease III & IV. The median (IQR) CD4 cell count at the time of interview was 362 (248, 537) cells/μl. Plasma viral loads are not routinely done at the clinic and were not available for this study.

Table 1. Characteristics and prevalence of alcohol consumption among 725 HIV-infected men and women attending the Infectious Diseases Institute HIV Clinic, Kampala, Uganda.

Characteristic Total subjects enrolled Subjects who reported alcohol consumption at least once in the last 6 months
N % N %
Sex
 Male 273 37.7 112 41.0
 Female 452 62.3 127 28.1
Receiving ART
 Yes 597 82.3 183 30.7
 No 128 17.7 56 43.8
Median (IQR) age 39 31–46 38 32–45
Marital status
 Never married 123 17.0 37 30.1
 Married or cohabiting 319 44.0 111 34.8
 Separated or widowed 283 39.0 91 32.2
Education level
 Primary or less 364 50.2 116 31.9
 Secondary level 298 41.1 98 32.9
 Tertiary level/diploma 63 8.7 25 39.7
Religion
 Roman Catholic 259 35.7 111 42.9
 Anglican 238 32.8 103 43.3
 Pentecostal Christianity, Islam, or Seventh Day Adventism 228 31.5 25 11.0
Paid employment 1
 Yes 640 88.3 214 33.4
 No 85 11.7 25 29.4
Income in last month
 < 20 USD 221 30.5 63 28.5
 20–400 USD 441 60.8 155 35.1
 > 400 USD 20 2.8 9 45.0
 Declined 43 5.9 12 27.9
Number of children ever born
 0 73 10.1 20 27.4
 1 to 4 404 55.7 138 34.2
 >4 248 34.2 81 32.7
HIV clinical stage
 I or II 308 42.5 106 34.4
 III or IV 417 57.5 133 31.9
Median (IQR) most recent CD4 cell count (cells/mm3) 362 248–537 385 255–544
Median (IQR) nadir CD4 cell count (cells/mm3) 163 58–293 175 72–335
History of TB treatment
 Yes 162 22.4 56 34.6
 No 560 77.6 182 32.5
CESD-10 depression score
 < 10 points 486 67.0 171 35.2
 ≥ 10 points 239 33.0 68 28.5
Sexually active in last 6 months
 Yes 479 67.2 190 39.7
 No 234 32.8 47 20.1
Unprotected sex in last 6 months 2
 Yes 132 18.2 57 43.2
 No 593 81.8 182 30.7
Reported 2 or more sex partners
 Yes 115 17.3 58 50.4
 No 551 82.7 168 30.5
Reported any risk sex
 Yes 197 27.2 92 46.7
 No 528 72.8 147 27.8
Reported high risk sex
 Yes 39 5.4 22 56.4
 No 686 94.6 217 31.6

1 Housewives without other work were classified as unemployed.

2 Defined as sex without condom with a partner who is HIV negative or without unknown HIV status.

Only 37 of 683 (4.7%) reported current cigarette smoking and only 17 subjects reported recreational drug use, almost all of them reporting smoking marijuana.

Alcohol consumption in the preceding 6 months

Overall, 239/725 (33.0%) subjects reported consuming alcohol at least once during the preceding 6 months. Males were more likely to have consumed alcohol than females (41% versus 28.1%, p<0.001). Proportions of different alcohol use outcomes by gender are presented in Fig 1 and all show that males reported higher alcohol use outcomes than females. Almost a quarter (175/725, 24.1%) of participants reported alcohol consumption in the previous month with males significantly more likely than females to do so (33.7% vs. 18.4%; p<0.001). Among 239 subjects who reported any alcohol consumption within the last 6 months, 135 (56.5%) scored 3 or more points on the AUDIT-C and were categorized as misusing alcohol, representing 18.6% of the total study sample. Similarly, males (66.1%) were more likely than females (48.0%) to misuse alcohol (p<0.001). Among subjects reporting any alcohol use, 36 (15.1%) reported drinking 6 or more units of alcohol at one sitting within the last 6 months. Only 16% (38/239) of subjects who drank scored ≥ 8 points on the full AUDIT and were classified as hazardous drinkers, representing 5.2% of the total study sample. Again, among drinkers, males were significantly more likely than females to be hazardous drinkers (22.3% vs. 10.2%, p<0.001). On average, 2.31 (standard deviation; SD = 1.9) USD were spent directly on alcohol on a typical drinking day. The average cost of most beer brands at the local drinking venues with in the last year was approximately 1.10 USD.

Fig 1. Proportions of men and women reporting different alcohol and smoking outcomes among 725 HIV-infected individuals attending the Infectious Disease Institute HIV Clinic, Kampala, Uganda.

Fig 1

Factors associated with alcohol misuse among PLWHA

In the final multivariable model (Table 2), among males, the prevalence of alcohol misuse was 65% more likely among subjects not taking ART compared to those taking ART (p = 0.043) and 56% more likely among those with less than perfect adherence on medication (p = 0.052). Compared to Anglican religious faith, Pentecostal/Muslim, faiths that openly and proactively prohibit alcohol consumption, was associated with an 89% lower prevalence of alcohol misuse (p<0.001). There was no statistical difference in the prevalence of alcohol misuse between Anglican and Roman Catholic denominations. Monthly income, age, history of tuberculosis treatment and current CD4 cell counts were not independently associated with reporting alcohol misuse.

Table 2. Factors associated with alcohol misuse (AUDIT-C ≥ 3) among 74 HIV-infected men and 61 HIV-infected women attending the Infectious Disease Institute HIV Clinic, Kampala, Uganda.

Characteristic Males Females
AUDIT-C ≥3N (%) Unadjusted PR(95% CI) Adjusted PR(95% CI) AUDIT-C ≥3N (%) Unadjusted PR (95% CI) Adjusted PR(95% CI)
Receiving ART
 Yes 61 (82.4) 1.0 1.0 40 (65.6) 1.0 1.0
 No 13 (17.6) 1.32 (0.80–2.20) 1.65 (1.02–2.67)* 21 (34.4) 2.08 (1.29–3.34)** 1.79 (1.10–2.91)*
Mean (SD) Age (per 10 years) 42.8 (11.1) 1.17 (0.95–1.43) 34.6 (18.4) 0.80 (0.65–0.99)* 0.82 (0.68–0.99)*
Marital status
 Never married 12 (16.2) 1.11 (0.64–1.91) 12 (19.7) 1.05 (0.54–2.06)
 Married or cohabiting 49 (66.2) 1.0 19 (31.2) 1.0
 Separated/widowed 13 (17.6) 0.73 (0.43–1.26) 30 (49.2) 1.04 (0.61–1.79)
Education level
 Primary or less 29 (39.0) 1.06 (0.69–1.63) 37 (60.7) 1.14 (0.69–1.87)
 Secondary 34 (46.0) 1.0 21 (34.4) 1.0
 Tertiary/diploma 11 (15.0) 1.22 (0.69–2.17) 3 (4.9) 0.85 (0.27–2.65)
Paid employment
 Yes 69 (93.2) 0.86 (0.40–1.82) 54 (88.5) 1.37 (0.65–2.88)
 No 5 (6.8) 1.0 7 (11.5) 1.0
Income in last month
 <20 USD 9 (12.2) 0.79 (0.42–1.46) 25(41.0) 1.12 (0.68–1.83)
 20–400 USD 56 (75.7) 1.0 30 (49.2) 1.0
 >400 USD 9 (12.2) 1.01 (0.56–1.84) 6 (9.8) 1.61 (0.73–3.54)
Religion
 Anglican 38 (51.4) 1.0 1.0 22 (36.1) 1.0 1.0
 Roman Catholic 33 (44.6) 0.75 (0.51–1.10) 0.75 (0.51–1.09) 31 (50.8) 1.33 (0.81–2.19) 1.28 (0.77–2.11)
 Other religions 1 3 (4.0) 0.11 (0.04–0.36)** 0.11 (0.03–0.33)** 8 (13.1) 0.32 (0.15–0.71)* 0.32 (0.15–0.69)*
WHO/HIV Clinical Stage
 I & II 27 (36.5) 1.39 (0.93–2.07) 40 (65.6) 1.86 (1.14–3.06)*
 III & IV 47 (63.5) 1.0 21 (34.4) 1.0
Mean (SD) CD4 cell count(per 100 cells/mm 3 ) 328.7 (162.8) 0.93 (0.86–1.02) 1.00 (0.99–1.00) 488.3 (254.8) 1.06 (0.99–1.14)
Mean (SD) nadir CD4 cell count(per 100 cells/mm 3 ) 177.2 (167.2) 1.05 (0.94–1.17) 284.4 (257.0) 1.08 (0.99–1.17)
Self-reported adherence to medication in the last 3 months 2
 Adherent 57 (77.0) 1.0 1.0 48 (78.7) 1.0 1.0
 Non-adherent 17 (23.0) 1.44 (0.92–2.27) 1.56 (1.00–2.44) 13 (21.3) 2.12 (1.24–3.64)* 2.36 (1.34–4.14)*
CESD-10 Depression Score 3
 <10 points 53 (71.6) 1.08 (0.70–1.67) 46 (75.4) 1.62 (0.94–2.81) 1.93 (1.12–3.34)*
 ≥10 points 21 (28.4) 1.0 15 (24.6) 1.0 1.0

* p<0.05;

** p<0.001

1 Refers to Pentecostal Christianity, Islam, or Seventh Day Adventism.

2Medications included ART and/or co-trimoxazole. Adherent implied >95% score on a Visual Analogue Scale.

3Based on the10-item Center for Epidemiologic Studies on Depression scale.

Among females, younger individuals, those not receiving ART, reporting less than perfect adherence to medication and those with <10 score on the CESD depression scale were on average twice likely to report alcohol misuse (Table 2). As was observed in males, belonging to Pentecostal or Muslim faith was protective of alcohol misuse as compared to Anglican and Catholic denominations.

Reported sexual behavior

Among all the 725 subjects interviewed, 479 (67.2%) reported sexual intercourse within the last 6 months. The majority, (403/479, 84.3%) reported their last sexual encounter was with their spouse or long-term acquaintance while the remaining 15.7% reported their last sexual encounter was with a casual sexual partner.

Of the 479 sexually active subjects, 282 (59.8%) reported using a condom at the last sexual encounter while 205/479 (43.4%) reported consistent condom use with in the last 6 months. Most who reported protected sex used male condoms; only two subjects reported using female condoms. Among the sexually active subjects, 23.2% (107/479) reported sexual intercourse with 2 or more sexual partners within the last six months. A high proportion (73.4%) of sexually active subjects had disclosed their HIV status to their main sexual partner. The main sexual partners of the sexually active subjects were mostly HIV positive (n = 219), but many were HIV negative (n = 104) of unknown/undisclosed HIV sero-status (N = 151). Thirty-nine (5.4%) individuals reported high-risk sex within the last six months.

Association between alcohol consumption and risky sexual behaviors

Of the 479 sexually active subjects, 9.2% (54/479) reported engaging in sexual activity while taking alcohol, of which 17 (31.5%) were drunk or intoxicated at that last sexual encounter.

Selected sexual behaviors stratified by reported alcohol use in the last 6 months are shown in Table 1. Without considering gender differences, subjects reporting any alcohol use were more likely to report sexual intercourse (uPR = 1.98; 95% CI: 1.49–2.61), two or more sexual partners, (uPR = 1.98; 95% CI: 1.43–2.75), unprotected sex with HIV negative/unknown sero-status partner (uPR = 1.54; 95% CI: 1.14–2.10), and high risk sex (uPR = 2.63; 95% CI: 1.42–4.86). Subjects reporting any alcohol use had a 68% higher prevalence of reporting risky sex compared to those subjects not reporting alcohol use (uPR = 1.68; 95% CI: 1.38–2.05).

The likelihood of being sexually active increased with increasing severity of alcohol use with the unadjusted prevalence ratio of sexual activity increasing from 1.98 among subjects reporting any alcohol use to 2.36 among subjects reporting alcohol misuse to 4.15 among subjects reporting hazardous alcohol use. Similarly, the unadjusted prevalence ratio of reporting any risk sex increased from 1.70 among those reporting any alcohol use to 1.90 among subjects misusing alcohol to 1.93 among subjects with hazardous alcohol use while the unadjusted prevalence ratio of reporting high risk sex was 1.44, 2.67, and 2.60 among subjects reporting any alcohol use, alcohol misuse and hazardous alcohol use, respectively.

Results for gender stratified univariable and multivariable analyses of factors associated with risky sex are shown in Table 3. Among males, ART receipt, alcohol misuse, HIV disclosure status, religious affiliation and adherence status were associated with risky sex in univariable analyses and therefore selected for the initial multivariable model. In the final multivariable model among males, reporting any risky sexual behavior was independently associated with alcohol misuse (aPR = 1.67; 95% CI: 1.07–2.60, p = 0.023), not disclosing HIV status to sexual partner (aPR = 1.69; 95% CI: 1.11–2.58, p = 0.014), being non-adherent to medication (aPR = 1.21; 95% CI: 0.98–1.50, p = 0.080), while controlling religious affiliation. Although subjects’ religious affiliation was not statistically significant variable in the final model, it was retained in the final model because it improved model fit with a significantly lower model QIC-U.

Table 3. Factors associated with reporting risky sexual behavior among 74 men and 61 women attending the Infectious Diseases Institute HIV Clinic, Kampala, Uganda.

Characteristic Males Females
UnadjustedPR (95% CI) p AdjustedPR (95% CI) p UnadjustedPR (95% CI) p AdjustedPR (95% CI) p
Reported alcohol misuse 1.50 (1.00–2.24) 0.048 1.67 (1.07–2.60) 0.023 1.47 (1.09–1.99) 0.011 1.29 (0.95–1.74) 0.098
Did not disclose HIV status to sexual partner (vs. disclosed) 1.54 (1.00–2.37) 0.049 1.69 (1.11–2.58) 0.014 2.47 (1.87–3.27) <0.001 2.45 (1.85–3.23) <0.001
Non-adherent to medication 1 1.31 (1.06–1.62) 0.012 1.21 (0.98–1.50) 0.080 1.46 (1.05–2.03) 0.024 1.42 (1.02–1.97) 0.036
Religion 2
 Anglican 0.99 (0.75–1.30) 0.945 0.84 (0.62–1.13) 0.470 0.87 (0.63–1.21) 0.407 NS
 Roman Catholic 0.90 (0.68–1.20) 0.491 0.91 (0.69–1.18) 0.249 0.83 (0.59–1.17) 0.289 NS
Receiving ART (yes vs. no) 0.82 (0.64–1.04) 0.094 NS 0.83 (0.61–1.13) 0.233
Education level (vs. tertiary/diploma)
 Secondary level 1.24 (0.88–1.74) 0.213 - 0.78 (0.46–1.32) 0.359 -
 Primary or less 1.12 (0.78–1.59) 0.541 - 0.80 (0.48–1.33) 0.384 -
Marital status (vs. married or cohabiting)
 Never married 0.89 (0.57–1.40) 0.626 - 0.83 (0.57–1.20) 0.315 NS
 Separated/widowed 0.90 (0.67–1.21) 0.475 - 0.72 (0.53–0.99) 0.043 NS
Paid Employment (no vs. yes) 0.98 (0.63–1.50) 0.911 - 0.89 (0.60–1.34) 0.586 -
Income in last month (vs. declined to answer)
 <20 USD 0.80 (0.45–1.44) 0.459 - 1.21 (0.51–2.87) 0.661 NS
 20–400 USD 1.14 (0.78–1.68) 0.501 - 1.38 (0.59–3.23) 0.453 NS
 >400 USD 0.90 (0.41–1.97) 0.789 - 3.50 (1.53–8.01) 0.003 NS

NS = not significant

1 Medications included ART and/or co-trimoxazole. Non-adherent implied ≤95% score on a Visual Analogue Scale.

2 Reference religions include those that prohibit alcohol consumption: Pentecostal Christianity, Islam, and Seventh Day Adventism. Adjusting for religion among males provided model fit therefore left in the final model.

Among females, the univariable analyses (Table 3) identified alcohol misuse, HIV disclosure adherence, marital status and income in last month as variables eligible for the initial multivariable model. In the final multivariable model for females, reporting any risky sexual behaviors was independently associated with non-disclosure of HIV status (aPR 2.45; 95% CI: 1.85–3.23, p<0.001) and being non-adherent to medication (aPR 1.42; 95% CI: 1.02–1.97, p = 0.036), but not significantly associated with alcohol misuse (aPR 1.29; 95% CI: 0.95–1.74, p = 0.098).

Discussion

In a large HIV clinic located in a typical urban setting in Sub-Saharan Africa, one in every three subjects receiving HIV care reported alcohol consumption within the previous 6 months. Alcohol misuse and hazardous alcohol use was reported by 19% and 6% of subjects, respectively, while 15% of drinkers reported at least one episode of binge drinking in the last 6 months. These finding are consistent with results from studies in other HIV clinic populations in Uganda [32,33], and some clinical settings in North America [34]. However, the prevalence of any alcohol consumption was relatively lower compared to studies done in the general medical settings [35] and general community populations [36,37] and far lower than those from fishing communities around Lake Victoria in central Uganda which reported that 62% of male and 52% of female had drank alcohol during the last month [38]. The relatively lower prevalence of alcohol use among patients in long-term HIV care, compared to the general population, may be a result of continued counseling and risk behavior change messages including reducing alcohol consumption. Despite this, the proportion reporting alcohol consumption in the clinic is half that of the general population in Uganda [39], while the prevalence of unprotected sex reported in this study is consistent with studies in sub-Saharan Africa [7,40].

We observed that subjects receiving ART were less likely to consume alcohol than subjects not yet on ART. This differential report of alcohol use by ART use status could be due to the intensive pre-ART initiation counseling sessions that includes adherence support, HIV disclosure, sexual risk, alcohol, drug and smoking reduction messages [41]. Another explanation could be that subjects who are on ART have previously experienced an advanced HIV disease or were at one time sicker and so stopped drinking due to illness while those not yet on ART are most likely still much healthier, likely not to have been seriously ill and therefore did not stop their alcohol consumption. This is in line with another longitudinal study that demonstrated a significant decline in reported alcohol use after ART commencement [33].

An unusual finding in this study was that females with low CESD scores, therefore less likely to have depression, were twice as likely to report alcohol misuse as compared to their counterparts with high CESD scores. It is possible that individuals with depression and higher alcohol consumption rarely enter HIV care or are quickly lost to follow-up, resulting in a study population yielding the paradoxical findings in our study. It is plausible that our study recruited mainly subjects without depression for they tend to be retained in care as compared to those with depression who tend to fall out of care earlier on [42,43].

Males were more likely than females to report alcohol consumption, misusing alcohol, and engaging in risky sexual behavior. The higher consumption among males has been reported in most studies both in the Sub-Saharan Africa and from developed countries in North America and Europe and are attributed to the acceptance of male drinking as part of the social values and attributes of masculine norms while at the same time barring this among women [44]. Although many studies have previously analyzed alcohol use data combined for both men and women, our study approach of analyzing this data by gender stratum was informed by previously published work showing that alcohol use and sexual behavior associations in men and women represents quite differential effects, and appears to be more complex in females than males as it involves both her own alcohol consumption, alcohol consumption of her male partner and the interaction with her male partner [45]. Published literature further shows that, risky sexual behavior among females depends heavily on the male partners behaviors such as condom use, alcohol use status and the gendered power dynamics in that sexual relationship [46,47]. Kalichman and colleagues, demonstrated that the likelihood of engaging in unprotected sex among males in southern Africa depended on both the male’s and the female partner’s alcohol consumption while among females; only their male partner’s consumption was significantly associated with the same risk [12].

Although there were marked gender differences in the degree of association, overall, this study has shown that subjects who consumed alcohol were more likely to report sexual intercourse, more likely to report risky sex in general and more likely to specifically engage in unprotected sexual intercourse. Woolf King et al basing on theoretical considerations and empirical research proposes two gender specific models to explain this association through the transmission hypothesis as applicable to Sub-Saharan Africa [22]. In general, both models proposed posit that the higher the alcohol consumed, the more likely is the person consuming alcohol to experience the psychoactive myopic effects and the psychological expectancy effects which propagate the reduced fear of negative consequence of engaging in risky sexual behaviors resulting in increased likelihood of engaging in risky sexual behaviors. The latter could result in further transmission of HIV (and other sexually transmitted infections) if all other conditions necessary for transmission exist.

In addition, subjects reporting alcohol misuse were also more likely to be non-adherent to medication (both co-trimoxazole and ART) and more likely not to disclose their HIV positive status to their sexual partner(s), all of which are behaviors that partly negatively impact on overall success of ART. The co-occurrence of these behaviors has been highlighted previously in rural Uganda [16,48] and we postulate that a pattern of risk prone, sensation seeking, personality of individuals drives them to seek comfort and sensation by consuming alcohol [49].

Therefore, interventions to reduce alcohol consumption may reduce the co-occurrence of the associated harmful behaviors. Prevention messages designed to encourage reduction in alcohol use among PLWHA should also support HIV disclosure and medication adherence efforts. These prevention messages should be target men and women separately [11].

Subjects in our study who belonged to religious denominations (Pentecostals, Muslims and Seventh-Day Adventists) that strongly prohibit and openly preach against alcohol consumption were less likely to consume alcohol, an observation found elsewhere [50]. Although, in part, this may be due reporting bias, we propose that clinic based interventions incorporate patients’ religious belief, if relevant, as an entry point to further tackle alcohol consumption reduction, as had been observed in a community setting in Uganda [38].

There is a rationale for strengthening routine positive prevention counseling messages among those not yet receiving ART. Although these individuals, on average, are indicated to attend HIV clinic with less frequency, we observed that they were more likely to report both alcohol consumption and risky sexual behaviors.

The findings of this study need to be examined within the context of the several limitations. First, all behaviors were obtained by self-report and therefore prone to both social desirability and recall bias. However any of the biases, if present, are not as likely to alter the overall results because these results represent the least likely estimates of alcohol use given the tendency for individuals to underreport rather than over report alcohol consumption. However, we restricted our inquiry to the last 6 months (as opposed to one year) to reduce on the likelihood of recall bias. Furthermore, any associations between alcohol and any other behavior described here are based on the global associations rather than event level measurement therefore minimizing the bias. We believe that our findings are internally valid because of the rather expected differential alcohol consumption reported among females and males and the higher risky behaviors reported in males as compared to females, both of which are in line with known gender differences [27]. Given the cross-sectional design of this study, it is difficult to know whether alcohol use preceded risky sexual behaviors or the reverse. It is possible some common personality traits makes people more likely to engage in multiple risky behaviors including drinking alcohol and all these are manifestations of this risky personality trait [51]. Another limitation is the possibility of reverse causality: those who engage in risky sexual behavior may choose to drink alcohol to engage in this behavior more effectively. Finally, the absence of data on duration of HIV care limited us from exploring the effect of duration of treatment/care on reported behaviors.

The strengths of this study include the relatively large number of subjects interviewed, use of the AUDIT, a standardized internationally-validated tool for alcohol assessment in primary care settings, allowing for cross-study comparability. Furthermore, unlike previous studies that have focused on more rural or peri-urban areas, this study examines alcohol consumption among PLWHA living within a major urban city in sub-Saharan Africa.

Although this study looked only at the behavioral associations of alcohol use and risky sexual behaviors, it is important to contextualize that alcohol plays a bigger role in the overall HIV transmission and HIV disease progression risk through its effect on transmission dynamics, viral replication, host immunity responses and its impact on ART efficacy [52]. We believe there is a rationale for future studies to test the efficacy of brief interventions to reduce alcohol consumption among PLWHA. These interventions should be based on locally appropriate messages and would need to address the constellation of other negative behaviors that are exhibited by persons who consume alcohol while in long term HIV care. Brief interventions could be delivered in conjunction with pre-ART counseling, and could incorporate motivational interviewing techniques [53]. Given the shortage of healthcare workers in this setting, for pragmatic reasons, brief interventions for alcohol use would need to be conducted by routine clinic personnel or paraprofessional personnel [54].

Acknowledgments

We thank Dr Basia Zaba for the critical input in the design of the study. We are grateful to the study subjects for their participation. We thank Jennipher Tusubira, Bernadette Zaniika, Josephine Nabwegyako, Ruth Kulume, Sarah Nabwire, Daniel Kasibante, Phoebe Nabbongo and Florence Namimbi who assisted in the data collection process.

Data Availability

Data are available from the Infectious Diseases Institute through the Makerere University School of Public Health Institutional Data Access / Ethics Committee for researchers who meet the criteria for access to confidential data. The data may be obtained by contacting Ms. Allen Mukhwana, Research office, Infectious Diseases Institute (amukhwana@idi.co.ug).

Funding Statement

This work was funded by 1) Wellcome Trust grant No. 087540 to BW through the Training of Health Researchers into Vocational excellence in East Africa (THRiVE) consortium, and 2) Vlaamse Interuniversitaire Raad (VLIR) to BW. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.UNAIDS. Global report: UNAIDS report on the global AIDS epidemic 2012. Geneva2012.
  • 2. Franco RA, Saag MS. When to start antiretroviral therapy: as soon as possible. BMC Med. 2013;11:147 Epub 2013/06/19. 10.1186/1741-7015-11-147 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. WHO. Consolidated guidelines on the use of antiretroviral drugs for treating and preventing HIV infection—recommendations for a public health approach. Geneva: World Health Organization, 2013. 10.1371/journal.pone.0090991 [DOI] [PubMed] [Google Scholar]
  • 4. Cohen MS, Smith MK, Muessig KE, Hallett TB, Powers KA, Kashuba AD. Antiretroviral treatment of HIV-1 prevents transmission of HIV-1: where do we go from here? Lancet. 2013. Epub 2013/10/25. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Venkatesh KK, Flanigan TP, Mayer KH. Is expanded HIV treatment preventing new infections? Impact of antiretroviral therapy on sexual risk behaviors in the developing world. Aids. 2011;25(16):1939–49. Epub 2011/08/04. 10.1097/QAD.0b013e32834b4ced [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Anglaret X, Scott CA, Walensky RP, Ouattara E, Losina E, Moh R, et al. Could early antiretroviral therapy entail more risks than benefits in sub-Saharan African HIV-infected adults? A model-based analysis. Antivir Ther. 2013;18(1):45–55. Epub 2012/07/20. 10.3851/IMP2231 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Wandera B, Kamya MR, Castelnuovo B, Kiragga A, Kambugu A, Wanyama JN, et al. Sexual behaviors over a 3-year period among individuals with advanced HIV/AIDS receiving antiretroviral therapy in an urban HIV clinic in Kampala, Uganda. J Acquir Immune Defic Syndr. 2011;57(1):62–8. Epub 2011/02/08. 10.1097/QAI.0b013e318211b3f2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Bunnell R, Ekwaru JP, Solberg P, Wamai N, Bikaako-Kajura W, Were W, et al. Changes in sexual behavior and risk of HIV transmission after antiretroviral therapy and prevention interventions in rural Uganda. Aids. 2006;20(1):85–92. [DOI] [PubMed] [Google Scholar]
  • 9. Mills EJ, Nachega JB, Buchan I, Orbinski J, Attaran A, Singh S, et al. Adherence to antiretroviral therapy in sub-Saharan Africa and North America: a meta-analysis. Jama. 2006;296(6):679–90. Epub 2006/08/10. [DOI] [PubMed] [Google Scholar]
  • 10. Fonner VA, Denison J, Kennedy CE, O'Reilly K, Sweat M. Voluntary counseling and testing (VCT) for changing HIV-related risk behavior in developing countries. Cochrane Database Syst Rev. 2012;9:CD001224 Epub 2012/09/14. 10.1002/14651858.CD001224.pub4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Kembabazi A, Bajunirwe F, Hunt PW, Martin JN, Muzoora C, Haberer JE, et al. Disinhibition in risky sexual behavior in men, but not women, during four years of antiretroviral therapy in rural, southwestern Uganda. PLoS One. 2013;8(7):e69634 Epub 2013/07/31. 10.1371/journal.pone.0069634 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Kalichman SC, Simbayi LC, Kaufman M, Cain D, Jooste S. Alcohol use and sexual risks for HIV/AIDS in sub-Saharan Africa: systematic review of empirical findings. Prev Sci. 2007;8(2):141–51. Epub 2007/02/01. [DOI] [PubMed] [Google Scholar]
  • 13. Rehm J, Shield KD, Joharchi N, Shuper PA. Alcohol consumption and the intention to engage in unprotected sex: systematic review and meta-analysis of experimental studies. Addiction. 2012;107(1):51–9. Epub 2011/12/14. 10.1111/j.1360-0443.2011.03621.x [DOI] [PubMed] [Google Scholar]
  • 14. Shuper PA, Joharchi N, Irving H, Rehm J. Alcohol as a correlate of unprotected sexual behavior among people living with HIV/AIDS: review and meta-analysis. AIDS Behav. 2009;13(6):1021–36. 10.1007/s10461-009-9589-z [DOI] [PubMed] [Google Scholar]
  • 15. Musinguzi G, Bwayo D, Kiwanuka N, Coutinho S, Mukose A, Kabanda J, et al. Sexual behavior among persons living with HIV in Uganda: implications for policy and practice. PLoS One. 2014;9(1):e85646 Epub 2014/01/28. 10.1371/journal.pone.0085646 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Bajunirwe F, Bangsberg DR, Sethi AK. Alcohol use and HIV serostatus of partner predict high-risk sexual behavior among patients receiving antiretroviral therapy in South Western Uganda. BMC Public Health. 2013;13:430 Epub 2013/05/07. 10.1186/1471-2458-13-430 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Hendershot CS, Stoner SA, Pantalone DW, Simoni JM. Alcohol use and antiretroviral adherence: review and meta-analysis. J Acquir Immune Defic Syndr. 2009;52(2):180–202. 10.1097/QAI.0b013e3181b18b6e [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Kalichman SC, Grebler T, Amaral CM, McKerey M, White D, Kalichman MO, et al. Assumed infectiousness, treatment adherence and sexual behaviours: applying the Swiss Statement on infectiousness to HIV-positive alcohol drinkers. HIV medicine. 2013;14(5):263–72. Epub 2012/10/31. 10.1111/j.1468-1293.2012.01062.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. WHO. Global Status Report on Alcohol 2004. Geneva: World Health organisation, 2004. [Google Scholar]
  • 20. WHO. Global status report on alcohol and health. Geneva: WHO, 2011. [Google Scholar]
  • 21. Shield KD, Rylett M, Gmel G, Kehoe-Chan TA, Rehm J. Global alcohol exposure estimates by country, territory and region for 2005—a contribution to the Comparative Risk Assessment for the 2010 Global Burden of Disease Study. Addiction. 2013;108(5):912–22. Epub 2013/01/26. 10.1111/add.12112 [DOI] [PubMed] [Google Scholar]
  • 22. Woolf-King SE, Maisto SA. Alcohol use and high-risk sexual behavior in Sub-Saharan Africa: a narrative review. Arch Sex Behav. 2011;40(1):17–42. Epub 2009/08/26. 10.1007/s10508-009-9516-4 [DOI] [PubMed] [Google Scholar]
  • 23. Carney MA, Tennen H, Affleck G, Del Boca FK, Kranzler HR. Levels and patterns of alcohol consumption using timeline follow-back, daily diaries and real-time "electronic interviews". J Stud Alcohol. 1998;59(4):447–54. Epub 1998/07/01. [DOI] [PubMed] [Google Scholar]
  • 24.WHO. The Alcohol Use Disorders Identification Test; Guidelines for Use in Primary Care. Available: http://whqlibdocwhoint/hq/2001/who_msd_msb_016apdf. 2001 10th June 2011; 2.
  • 25. Bradley KA, DeBenedetti AF, Volk RJ, Williams EC, Frank D, Kivlahan DR. AUDIT-C as a brief screen for alcohol misuse in primary care. Alcohol Clin Exp Res. 2007;31(7):1208–17. [DOI] [PubMed] [Google Scholar]
  • 26. Chishinga N, Kinyanda E, Weiss H, Patel V, Ayles H, Seedat S. Validation of brief screening tools for depressive and alcohol use disorders among TB and HIV patients in primary care in Zambia. BMC Psychiatry. 2011;11(1):75. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Holmila M, Raitasalo K. Gender differences in drinking: why do they still exist? Addiction. 2005;100(12):1763–9. [DOI] [PubMed] [Google Scholar]
  • 28. Burns E, Gray R, Smith LA. Brief screening questionnaires to identify problem drinking during pregnancy: a systematic review. Addiction. 2010;105(4):601–14. Epub 2010/04/21. 10.1111/j.1360-0443.2009.02842.x [DOI] [PubMed] [Google Scholar]
  • 29. Bradley KA, Bush KR, Epler AJ, Dobie DJ, Davis TM, Sporleder JL, et al. Two brief alcohol-screening tests From the Alcohol Use Disorders Identification Test (AUDIT): validation in a female Veterans Affairs patient population. Arch Intern Med. 2003;163(7):821–9. Epub 2003/04/16. [DOI] [PubMed] [Google Scholar]
  • 30. Zocchetti C, Consonni D, Bertazzi PA. Relationship between prevalence rate ratios and odds ratios in cross-sectional studies. Int J Epidemiol. 1997;26(1):220–3. Epub 1997/02/01. [DOI] [PubMed] [Google Scholar]
  • 31. Spiegelman D, Hertzmark E. Easy SAS calculations for risk or prevalence ratios and differences. Am J Epidemiol. 2005;162(3):199–200. Epub 2005/07/01. [DOI] [PubMed] [Google Scholar]
  • 32. Hahn JA, Bwana MB, Javors MA, Martin JN, Emenyonu NI, Bangsberg DR. Biomarker testing to estimate under-reported heavy alcohol consumption by persons with HIV initiating ART in Uganda. AIDS Behav. 2010;14(6):1265–8. Epub 2010/08/11. 10.1007/s10461-010-9768-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Santos GM, Emenyonu NI, Bajunirwe F, Rain Mocello A, Martin JN, Vittinghoff E, et al. Self-reported alcohol abstinence associated with ART initiation among HIV-infected persons in rural Uganda. Drug Alcohol Depend. 2013. Epub 2013/10/31. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Neblett RC, Hutton HE, Lau B, McCaul ME, Moore RD, Chander G. Alcohol consumption among HIV-infected women: impact on time to antiretroviral therapy and survival. J Womens Health (Larchmt). 2011;20(2):279–86. Epub 2011/02/02. 10.1089/jwh.2010.2043 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Opio CK, Seremba E, Ocama P, Lalitha R, Kagimu M, Lee WM. Diagnosis of alcohol misuse and alcoholic liver disease among patients in the medical emergency admission service of a large urban hospital in Sub-Saharan Africa; a cross sectional study. Pan Afr Med J. 2013;15:23 Epub 2013/09/07. 10.11604/pamj.2013.15.23.2040 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Luchters S, Geibel S, Syengo M, Lango D, King'ola N, Temmerman M, et al. Use of AUDIT, and measures of drinking frequency and patterns to detect associations between alcohol and sexual behaviour in male sex workers in Kenya. BMC Public Health. 2011;11:384 Epub 2011/05/26. 10.1186/1471-2458-11-384 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Weiser SD, Leiter K, Heisler M, McFarland W, Percy-de Korte F, DeMonner SM, et al. A population-based study on alcohol and high-risk sexual behaviors in Botswana. PLoS Med. 2006;3(10):e392 Epub 2006/10/13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Tumwesigye NM, Atuyambe L, Kibira SP, Wabwire-Mangen F, Tushemerirwe F, Wagner GJ. Do religion and religiosity have anything to do with alcohol consumption patterns? Evidence from two fish landing sites on Lake Victoria Uganda. Subst Use Misuse. 2013;48(12):1130–7. Epub 2013/09/18. 10.3109/10826084.2013.808464 [DOI] [PubMed] [Google Scholar]
  • 39. Tumwesigye NM, Kasirye R. Gender and the major consequences of alcohol consumption in Uganda;. Geneva: World Health Organisation; 2005. [Google Scholar]
  • 40. Ndziessi G, Boyer S, Kouanfack C, Cohen J, Marcellin F, Moatti JP, et al. Adherence as a predictor of sexual behaviors in people living with HIV/AIDS during the first year of antiretroviral therapy in rural Cameroon: data from Stratall ANRS 12110/ESTHER trial. PLoS One. 2012;7(6):e36118 Epub 2012/06/16. 10.1371/journal.pone.0036118 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Kennedy CE, Medley AM, Sweat MD, O'Reilly KR. Behavioural interventions for HIV positive prevention in developing countries: a systematic review and meta-analysis. Bulletin of the World Health Organization. 2010;88(8):615–23. Epub 2010/08/04. 10.2471/BLT.09.068213 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Pecoraro A, Mimiaga M, O'Cleirigh C, Safren SA, Blokhina E, Verbitskaya E, et al. Depression, substance use, viral load, and CD4+ count among patients who continued or left antiretroviral therapy for HIV in St. Petersburg, Russian Federation. AIDS Care. 2015;27(1):86–92. Epub 2014/09/30. 10.1080/09540121.2014.959464 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Krumme AA, Kaigamba F, Binagwaho A, Murray MB, Rich ML, Franke MF. Depression, adherence and attrition from care in HIV-infected adults receiving antiretroviral therapy. J Epidemiol Community Health. 2015;69(3):284–9. Epub 2014/11/12. 10.1136/jech-2014-204494 [DOI] [PubMed] [Google Scholar]
  • 44. Lemle R, Mishkind ME. Alcohol and masculinity. J Subst Abuse Treat. 1989;6(4):213–22. Epub 1989/01/01. [DOI] [PubMed] [Google Scholar]
  • 45. Norris J, Masters NT, Zawacki T. Cognitive mediation of women's sexual decision making: the influence of alcohol, contextual factors, and background variables. Annu Rev Sex Res. 2004;15:258–96. Epub 2006/08/18. [PubMed] [Google Scholar]
  • 46. Woolf-King SE, Maisto SA. Alcohol use and high-risk sexual behavior in Sub-Saharan Africa: a narrative review. Arch Sex Behav. 2009;40(1):17–42. 10.1007/s10508-009-9516-4 [DOI] [PubMed] [Google Scholar]
  • 47. Thomas G, Lungu EM. A two-sex model for the influence of heavy alcohol consumption on the spread of HIV/AIDS. Math Biosci Eng. 2010;7(4):871–904. Epub 2010/11/17. 10.3934/mbe.2010.7.871 [DOI] [PubMed] [Google Scholar]
  • 48. Hahn JA, Woolf-King SE, Muyindike W. Adding fuel to the fire: alcohol's effect on the HIV epidemic in Sub-Saharan Africa. Curr HIV/AIDS Rep. 2011;8(3):172–80. Epub 2011/06/30. 10.1007/s11904-011-0088-2 [DOI] [PubMed] [Google Scholar]
  • 49. Kalichman SC, Simbayi L, Jooste S, Vermaak R, Cain D. Sensation seeking and alcohol use predict HIV transmission risks: prospective study of sexually transmitted infection clinic patients, Cape Town, South Africa. Addict Behav. 2008;33(12):1630–3. Epub 2008/09/16. 10.1016/j.addbeh.2008.07.020 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Namagembe I, Jackson LW, Zullo MD, Frank SH, Byamugisha JK, Sethi AK. Consumption of alcoholic beverages among pregnant urban Ugandan women. Matern Child Health J. 2010;14(4):492–500. Epub 2009/07/25. 10.1007/s10995-009-0500-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Kalichman SC, Simbayi LC, Jooste S, Cain D, Cherry C. Sensation seeking, alcohol use, and sexual behaviors among sexually transmitted infection clinic patients in Cape Town, South Africa. Psychol Addict Behav. 2006;20(3):298–304. Epub 2006/08/30. [DOI] [PubMed] [Google Scholar]
  • 52. Pandrea I, Happel KI, Amedee AM, Bagby GJ, Nelson S. Alcohol's role in HIV transmission and disease progression. Alcohol Res Health. 2010;33(3):203–18. Epub 2010/01/01. [PMC free article] [PubMed] [Google Scholar]
  • 53. Kekwaletswe CT, Morojele NK. Alcohol use, antiretroviral therapy adherence, and preferences regarding an alcohol-focused adherence intervention in patients with human immunodeficiency virus. Patient Prefer Adherence. 2014;8:401–13. Epub 2014/04/15. 10.2147/PPA.S55547 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54. Crepaz N, Lyles CM, Wolitski RJ, Passin WF, Rama SM, Herbst JH, et al. Do prevention interventions reduce HIV risk behaviours among people living with HIV? A meta-analytic review of controlled trials. Aids. 2006;20(2):143–57. Epub 2006/03/03. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Data are available from the Infectious Diseases Institute through the Makerere University School of Public Health Institutional Data Access / Ethics Committee for researchers who meet the criteria for access to confidential data. The data may be obtained by contacting Ms. Allen Mukhwana, Research office, Infectious Diseases Institute (amukhwana@idi.co.ug).


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