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Socio-economic vulnerabilities and HIV: Drivers of transactional sex among female bar workers in Yaoundé, Cameroon

  • Derick Akompab Akoku ,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Supervision, Validation, Writing – original draft, Writing – review & editing

    derickakoku@gmail.com

    Affiliation Community Research and Training Institute, Yaoundé, Cameroon

  • Mbah Abena Tihnje,

    Roles Conceptualization, Data curation, Investigation, Supervision, Writing – review & editing

    Affiliation Community Research and Training Institute, Yaoundé, Cameroon

  • Thomas Achombwom Vukugah,

    Roles Conceptualization, Supervision, Writing – review & editing

    Affiliation Ministry of Public Health, Yaoundé, Cameroon

  • Elvis Enowbeyang Tarkang,

    Roles Conceptualization, Methodology, Validation, Writing – review & editing

    Affiliation School of Public Health, University of Health and Allied Sciences, Ho, Ghana

  • Robinson Enow Mbu

    Roles Conceptualization, Methodology, Supervision, Validation, Writing – review & editing

    Affiliations Ministry of Public Health, Yaoundé, Cameroon, Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon

Abstract

Introduction

The purpose of this study was to examine the relationship between socio-demographic characteristics, risky sexual behaviour, alcohol use and transactional sex among female bar workers in Yaounde, Cameroon.

Materials and methods

A cross-sectional survey was conducted among a representative sample of 410 female bar workers, recruited through a modified version of venue-based cluster sampling technique from May to June 2017. Transactional sex was defined as having received money/gifts in exchange for sex with any sexual partner in the past 12 months. Logistic regression models were performed to identify the factors associated with transactional sex. The level of statistical significance was set at p< = 0.05.

Results

About 14.9% (n = 61) of respondents reported to have engaged in transactional sex, 83.7% (n = 338) had multiple sexual partners at the time of the study, 14.4% (n = 55) had sex with one or more of their male customers in the past 6 months. Almost 73.4% (n = 301) reported alcohol use. Of these, 37.2% (n = 112) were frequent alcohol consumers. About 17.6% (n = 72) reported to have had unprotected sex under the influence of alcohol in the past 6 months. Multivariate logistic regression analysis showed that those who engaged in transactional sex were more likely to have had sex with a male customer in the past 6 months (aOR = 7.34; 95% CI, 3.63–16.98), had sex under the influence of alcohol in the past 6 months (aOR = 2.42; 95% CI, 1.18–4.96) and frequent alcohol consumers (aOR = 2.06; 95%CI, 1.04–4.10). Respondents who had their last sexual intercourse 4 weeks or more prior to the study (aOR = 0.26; 95% CI, 0.08–0.84) were less likely to have engaged in transactional sex.

Conclusions

Our study concludes that female bar workers are exposed to male customers and engage in risky sexual practices including transaction sex. Most of them also consume alcohol which increases their risk of HIV and STI acquisition. They are a high-risk group that need to be targeted with HIV prevention interventions.

Introduction

HIV/AIDS and other sexually transmitted infections (STI) still pose a significant public health challenge in Cameroon. With a population of about 23 million inhabitants [1], the country has an estimated HIV prevalence of 4.3% among adults aged 15–49 years [2]. Young girls and women continue to be disproportionately affected by HIV than their male counterparts. The prevalence of HIV was reported to be almost twice as high among women (5.6%) compared to men (2.9%)[2]. Among women, the HIV prevalence is higher among those living in urban areas (6.4%) compared to those living in rural areas (4.6%)[2]. Generally, many factors have been reported to increase women’s vulnerability to HIV including biological, social, behavioural, cultural, economic and structural [35].

Transactional sex, defined as sex in exchange for money or material gifts [6, 7] has been demonstrated to increase women’s vulnerability to HIV [6, 8, 9]. Women have been reported to engage in transactional sex for a variety of reasons including economic, material and social gains; and access to basic necessities such as food, shelter, protection, clothing, hygiene requirements and school necessities [1013]. Studies have shown that women who engage in transactional sex are at an elevated risk of HIV acquisition [8, 9]. Transactional sex has also been associated with risky sexual behaviours including age-disparage sex, multiple concurrent sexual partnerships, unprotected sex and intimate partner violence [9, 1416]. Studies have reported that many women in sub-Saharan Africa (SSA) who engage in transactional sex do not self-identify themselves as sex workers due to the stigmatising connotation attached to sex work [6, 13, 16].

Although HIV vulnerability and transactional sex has been extensively studied among many women’s group including female sex workers [17], female bar workers (FBWs) represent a subgroup of women whose HIV vulnerability has received little attention in scholarly research. FBWs are women who work in the informal alcohol industry, promoting the sale of beer and alcoholic drinks to customers in bars, karaoke, beer parlours and casinos. These women are encouraged by their employers to socialize with male customers to increase the sale and consumption of beer [18]. Due to their low income, FBWs are forced to sell sex on a regular basis or occasionally to their male customers to supplement their income [19, 20]. This explains why these women are sometimes classified as indirect sex workers [2022].

Studies have established a positive association between alcohol consumption and risky sexual behaviours [23, 24] including transactional sex among the general population [25]. Previous research conducted among FBWs in Cambodia showed that these women frequently consume alcohol [26] and some are invited by their male customers to drink with them. These FBWs are forced to drink alcohol upon invitation to increase the sale of beer and receive tips from their male customers [19]. In certain situations, they may have sex with their male customers after consuming alcohol which increases their HIV vulnerability. In Cambodia, FBWs have been reported to have unprotected sex with their male customers and this sometimes occurred under the influence of alcohol [27].

In Cameroon, alcohol consumption is a common practice in many socio-cultural milieu. There are many FBWs (although their estimated population is unknown) promoting beer consumption in bars, karaoke, beer parlours and casinos in the country. However, there has been no research conducted among this subgroup of women to examine their HIV vulnerability. As a result, little is known about the extent to which these women are vulnerable to HIV and STI infection and what factors contribute to their risky sexual practices. Furthermore, while the relationship between alcohol use and risky sexual behaviour among women in the general population has been established [7, 25, 28], this association has not been investigated among this subgroup of women. The lack of empirical data has made it difficult to determine their level of HIV and STI vulnerability and this perhaps explains why there has been limited HIV prevention interventions targeted at this subgroup of women in Cameroon. Rather, most HIV prevention interventions have targeted high risk groups of women like female sex workers due to evidence of their vulnerability to HIV and STI [29].

The objective of this study was to examine the association between socio-demographic characteristics, alcohol use and transactional sex among FBWs in Yaoundé, Cameroon. Understanding these relationships will fill the knowledge gaps and provide the evidence that will inform HIV prevention strategies and interventions among this subgroup of women in the country.

Materials and methods

Study design and setting

The study was a cross-sectional population-based study conducted in Yaounde, the political capital of Cameroon. Yaounde has an estimated population of 2.4 million inhabitants [30] and is made up of seven administrative zones. It lies in the centre of the nation at an elevation of about 750 metres (2,500 ft) above sea level. It is the centre of administration, service industry and commerce, and a key point for road, railway and air travels. Yaounde is an ethnically, linguistically, and religiously diverse city attracting individuals from all corners of the country. It is a bustling city and its inhabitants include people from all walks of life. Yaounde has a brewery industry and many bars, restaurants, karaoke, casinos and other entertainment venues.

Study population and sampling procedure

The study population was FBWs promoting the sale of beer and other alcoholic drinks in bars, beer parlours, karaoke and casinos. The minimum sample size was derived from the formula: n = [z2 x p (1-p)] DEFF / [m2]; where n = the minimum required sample size for the study; z = the standard deviation for a 2-tailed test at 95% confidence level (1.96); p (4.3%) = the estimated population parametre; DEFF (2.0) the design effect, m = the margin of error (3%) and an anticipated non-response rate of 12%. The minimum estimated sample size for the study was 399 respondents. A modified version of venue-based cluster sampling technique was used to sample participants. In each of the seven administrative zones of Yaounde, we randomly selected city blocks (neighbourhoods) with the probability of selection based on the population size (Galway, Bell et al. 2012) of that administrative zone using census data from the National Institute of Statistics. In each selected city block (neighbourhood), we identified entertainment venues (bars, beer parlours, karaoke etc). We also conducted key-informant interviews to obtain more information on the venues where FBWs could be located. A list of entertainment venues (where FBWs work) in each selected city block was established and this constituted the sampling frame for the current study. From the list of entertainment venues in each selected city block, a random sample of entertainment venues was visited by field teams. FBWs working in the selected venues were the tertiary sampling unit.

Data collection

Data were collected from May to June 2017 through face-to-face interviews by trained interviewers. Owners of venues selected were approached, informed about the study and their permission/collaboration sought to collect data from their sites. Once permission was granted, interviewers approached the participants and determined their eligibility for participation. Participants were eligible if they were aged at least 21 years at the time of the study, had worked as a FBW for at least 3 months and provided written informed consent to participate in the study. Those who did not express their willingness to participate and refused to consent were excluded from the study. When a participant refused to participate, interviewers moved to the next participant (if there were more than one FBW at the venue) or the next entertainment venue based on the sampling list. Those who refused to participate indicated lack of time, lack of interest in the study or simply because they did not want to participate. Interviewer-administered paper-based questionnaires (S1 Questionnaire) were completed in a quiet and private location to ensure confidentiality. Participants could choose not to answer certain questions in the questionnaire. Data were collected during non-peak hours (mornings and early afternoon) to enable FBWs fully participate. This was because FBWs are usually busy during peak hours (late afternoons and evenings) promoting and serving beer to customers.

Measures

Outcome variable.

The primary outcome variable was transactional sex. Transactional sex was defined as having had sex in exchange for money or gift in the past 12 months; and this was assessed by asking participants: “Have you had sex in exchange for money or gift in the past 12 months? The response options were “No” and “Yes”.

Explanatory variables.

The questionnaire collected data on: 1) socio-demographic characteristics, 2) sexual behaviour, and 3) alcohol use. Socio-demographic characteristics included age, marital status, educational attainment, monthly income, other sources of income, living arrangements, number of household members and duration of work as a FBW.

Sexual behaviour was assessed by collecting data on: number of life time sexual partners, age at sexual debut, sex with a male customer in the past 6 months, multiple sexual partnership, last time they had sexual intercourse and unprotected sex under the influence of alcohol in the past 6 months.

Alcohol use was assessed by asking participants: “Do you consume alcohol?” The response options were “No” and “Yes”. Those who indicated “Yes” were asked: “During the past one month, on how many days did you have at least one drink of alcohol? The response options (in days) were: 1–2, 3–5, 6–9, 10–19, 20–29, and all the 30 days. Those who reported to have consumed alcohol 10 days and above were classified as “Frequent” alcohol consumers while those who reported to have consumed alcohol below 10 days in the last 30 days were classified as “Non-frequent” alcohol consumers.

Ethical considerations

Ethical clearance was obtained from the Cameroon National Research Ethics Committee for Human Health (No: 2016/840/CE/CNERSH/SP). Administrative authorization was also obtained from the Centre Regional Delegation for Public Health to conduct the study in Yaounde. Participation in this study was voluntary, and written informed consent was obtained from all participants who expressed interest to participate. Study participants had an opportunity to refuse or to opt-out of the study at any time. Privacy was protected as face-to-face interviews were conducted in a private location. Confidentiality was ensured as no personal identifiers were collected.

Statistical analysis

To account for the unequal sampling probabilities, data (S1 Study Dataset) were weighted prior to analysis. A sampling weight for each participant was calculated as the inverse of the probability of selection of that participant taking into account each stage of the sampling process. Descriptive analyses such as frequencies and proportions, median and interquartile range were performed to examine participants’ characteristics. Pearson's chi-square tests were used to identify associations between socio-demographic characteristics, sexual behaviour, alcohol consumption and transactional sex. Student’s t-test was conducted to assess differences between the continuous variable (age at sexual debut) and the dependent variable (transactional sex). Variables that were significantly associated with transactional sex at p-value <0.1 were considered candidates for logistic regression analyses.

Univariate and multivariate logistic regression analyses were performed to estimate the strength of the associations between the dependent variable (transactional sex) and the significant independent variables from the bivariate analyses. In the multivariate model controlling for potential confounders, there was no evidence of multicollinearity among the independent variables. Adjusted odds ratio (aOR) with 95% confidence levels (CI) were used to quantify the strength of the association. The statistical significance for all tests was set at p< = 0.05. Data were analysed using STATA version 13.0 (StataCorp, College Station, Texas, USA).

Results

Socio-demographic characteristics by transactional sex

A total of 506 respondents were screened and eligible for the study. Of these, 415 agreed to participate (response rate = 82%). However, due to missing data, 5 questionnaires were eliminated leaving 410 for analysis. Table 1 shows respondents’ socio-demographic characteristics by transactional sex. The median age of the 410 study respondents was 29 years (IQR, 25–34). Over half (58.8%) were aged 21–30 years, most (78.5%) were never married, 75.9% attained education below high school, and 67.8% had a monthly income of less than 50,000 FCFA (< 89 US $). The majority (86.6%) had no other source of income apart from what they earn as a FBW. Those who had other sources of income were significantly more likely to have engaged in transactional sex in the past 12 months than those without other sources of income (23.6% vs 13.5%, p = 0.034). About 80.9% were living with someone; those who reported to have engaged in transactional sex where significantly more likely to be living alone compared to those living with others (21.8% vs 13.3%, p = 0.039). An estimated 40.4% were living with 4–6 household members, and almost half (48.1%) had worked as a FBW for at least a year.

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Table 1. Socio-demographic characteristics by transactional sex.

https://doi.org/10.1371/journal.pone.0198853.t001

Sexual behaviour and alcohol use by transactional sex

Table 2 shows associations between sexual behaviour and alcohol use by transactional sex in the past 12 months. About 77.1% of FBWs reported to have had less than 10 life time sexual partners and a minority (5.6%) had 20 or more life time sexual partners. Among this small group with 20 or more partners, a high percentage (39.1%) reported recent transactional sex. The median age of sexual debut for all respondents was 18 years (IQR = 16–19). The median age of those who reported to have engaged in transactional sex was slightly lower than those who did not engage in transactional sex (17 yrs vs 18 yrs, p = 0.050).

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Table 2. Sexual behaviour and alcohol use by transactional sex.

https://doi.org/10.1371/journal.pone.0198853.t002

About 14.4% of the FBWs indicated that they had sex with a male customer in the past 6 months. Those who reported to have had sex with a male customer were significantly more likely to have engaged in transactional sex in the past 12 months (45.4% vs 10.1%, p = <0.001) compared to those who did not have sex with a male customer. Most (83.7%) of the FBWs indicated that they had more than one sexual partner at the time of the study. Nearly half (47.1%) had their last sexual intercourse within a week prior to the study. Those who had sex less than one week prior to the study were more likely to have engaged in transactional sex than those who had their last sexual intercourse five or more weeks prior to the study (19.7% vs 7.4%, p = 0.001). Overall, only 35.6% of respondents used a condom during their last sexual intercourse. Respondents who used a condom during their last sexual intercourse where more likely to have engaged in transactional sex than those who did not use a condom (15.1% vs 14.8%). The majority (73.4%) of participants were alcohol consumers. Among those who consume alcohol, more than half (62.8%) were classified as “Non-frequent” alcohol consumers. Nevertheless, “Frequent” consumers of alcohol were more likely to have engaged in transactional sex in the past 12 months compared to “Non-frequent” consumers, (23.2% vs 9.5%, p<0.001).

Predictors of transactional sex

Table 3 shows the predictors of transactional sex in the past 12 months among FBWs. In weighted univariate analysis, FBWs with other sources of income (OR = 1.97;95%CI = 1.04–3.76, p = 0.37), who had 20 or more life time sexual partners (OR = 4.19;95%CI,1.83–9.63, p = 0.001), who had sex with a male customer in the past 6 months (OR = 7.38; 95%CI = 4.11–13.26, p<0.001), who had sex under the influence of alcohol in the past 6 months (OR = 2.52; 95%CI, 1.14–4.46,p = 0.001) and who were “Frequent” alcohol consumers(OR = 2.87;95% CI,1.56–5.27,p = 0.001) were more likely to have engaged in transactional sex in the past 12 months. Those who were living with others (OR = 0.54; 95%CI, 0.31–0.97, p = 0.041) and who had sex more than a month prior to the study (OR = 0.33; 95%CI, 0.15–0.72, p = 0.005) were less likely to have engaged in transactional sex in the past 12 months.

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Table 3. Logistic regression models for predictors of transactional sex.

https://doi.org/10.1371/journal.pone.0198853.t003

In weighted multivariate analysis, those who had sex with a male customer in the past 6 months (aOR = 7.34; 95%CI, 3.63–16.98, p<0.001), who had sex under the influence of alcohol in the past 6 months (aOR = 2.42; 95% CI, 1.18–4.96, p = 0.016) and “Frequent” alcohol consumers (aOR = 2.06; 95%CI, 1.04–4.10, p = 0.038) were more likely to have engaged in transactional sex in the past 12 months. Those who had their last sexual intercourse four weeks or more prior to the study (aOR = 0.26; 95% CI, 0.08–0.84, p = 0.024) were less likely to have engaged in transactional sex in the past 12 months.

Discussion

This study was designed to test the hypothesis that FBWs are exposed to male customers and due to their limited financial means, some engage in transactional sex. Our findings also support the hypothesis that because these women promote the sale of alcoholic drinks, some of them consume alcohol which increase their likelihood of engaging in risky sexual behaviour and HIV and STI vulnerability. To our knowledge, this is the first comprehensive study conducted in SSA to have investigated HIV vulnerability and transactional sex among this subgroup of women.

This study found that FBWs earn low wages with a majority earning less than 50.000FCFA (the minimum wage in Cameroon as at August 2017 was 36,270 FCFA). Although monthly income was not statistically significantly associated with transactional sex, our results demonstrate that FBWs with a monthly income of less than 50,000 FCFA (< 89 US $) were more likely to have engaged in transactional sex (15.8% vs 12.9%) in the past 12 months. Over the years, there has been an increase in the cost of living in the city of Yaounde and some of these FBWs may have children, siblings and parents who depend on them for food and other livelihoods. Due to economic pressure and the need to care for dependents, these women have a likelihood of engaging in transactional sex to supplement their low income. The study found a marginally significant association between having other sources of income and engaging in transactional sex. The finding may suggest that transactional sex may have been one of the other sources from which these women made extra money.

In this study, 14.9% of FBWs indicated that they had engaged in transactional sex in the past 12 months. Additionally, 13.4% had sex with one or more of their male customers in the past 6 months. Similar findings have been reported in Cambodia [19] and Malawi [11] where FBWs were found to have sex with their male customers. In the Malawian study, FBWs indicated that money was the main reason why they sold sex to their male customers and some mentioned that without engaging in transactional sex, they will have nothing to eat [11]. In this study, it is important to keep in mind that these women may have engaged in transactional sex with either their male customers or with other sexual partners.

There was a strong positive association between having sex with a male customer and engaging in transactional sex which may suggest that the primary reason for having sex with male customers could have been for the exchange of money or gift [31, 32]. While some FBWs may be promoting the sale of beer, some may also be indirectly selling sex [33] to their male customers. This perhaps fits the categorization that some FBWs may be indirect sex workers as they supplement their income by selling sex on a regular basis or occasionally [1921]. However, as reported in previous research, most women who engage in transactional sex would not identify themselves as sex workers [6, 16]. The above findings support the evidence that economic and food insecurity as well as survival needs may be motivating factors for engaging in transactional sex among women particularly those with dependents [4, 34, 35].

This study did not find any association between educational attainment, living arrangements and transactional sex among FBWs. Similar findings have been reported in a study conducted among a group of young women in Liberia [36]. Contrary to previous studies among women in the general population [16, 36], this study did not find any significant association between multiple sexual partners and engaging in transactional sex. Those who had their last sexual intercourse more than four weeks prior to the study were less likely to have engaged in transactional sex in the past 12 months. This may suggest that transactional sex was mainly carried out by FBWs who frequently had sexual intercourse. Nearly half (47.1%) of the FBWs in this study had sex within a week prior to the study. The explanation for this finding is unclear, but it is plausible that the existence of multiple and concurrent sexual partnership may be the reasons why most of the FBWs had their last sexual intercourse within a week.

This study found a positive association between alcohol consumption and engaging in transactional sex in the past 12 months. Participants who were “Frequent” alcohol consumers were more likely to have engaged in transactional sex. This finding is consistent with a previous study in Cambodia which reported that FBWs consume alcohol and some engaged in transactional sex [19]. Among women in the general population, similar findings in South Africa [37, 38] and Uganda [39] also reported that heavy alcohol consumption was associated with transactional sex. The above finding supports available evidence that alcohol consumption is associated with a number of risky sexual behaviours including transactional sex[25, 28], unprotected sex and inconsistent condom use [40, 41].

In the current study, about 17.6% of FBWs indicated that they had unprotected sex under the influence of alcohol in the past 6 months. Studies have reported that alcohol impairs cognitive functioning which leads to poor sexual decision-making [42, 43] and increases the risk of HIV and STI acquisition. Moreover, it is likely that some of these women may have had transactional sex with male partners who had consumed alcohol. Studies have reported that alcohol use is a risk factor for unprotected sex which increases the risk of HIV infection [44, 45].

The current study is of public health significance as it has identified some of the risky sexual practices among FBWs which increase their risk of acquiring HIV and STIs. The study demonstrates that FBWs represent a high-risk group for HIV and STI acquisition. The strength of this study relates to the fact that data were collected across all the seven administrative zones of Yaounde, and because the data were weighted, the findings could be generalised among FBWs in the city. Although the study findings are important to guide the design and implementation of HIV prevention programmes among FBWs, they must be interpreted in light of the following study limitations. Firstly, sensitive data (e.g., having sex with a male customer, number of life time sexual partners) were collected by self-report through face-to-face interviews, which may have resulted in under-reporting of risk behaviours due to social-desirability bias. Secondly, because the study was cross-sectional, it is not possible to draw any causal inferences. Thirdly, data were collected only during broad daylight and non-pick hours from the venues and due to safety and security reasons, data were not collected from nightclubs. Consequently, the study missed out some FBWs who work during peak hours and night shifts and their experience may have been different from those working during the day. Lastly, our study did not quantify alcohol consumption, as a result we recommend future studies to ask respondents about the quantity of alcohol they consume.

Despite these limitations, the current study has increased our knowledge and understanding of the risky behaviours that predispose FBWs to HIV and STI acquisition. It highlights the fact that FBWs are a subgroup of women at increased risk of HIV and STI infection. Future studies are needed to further understand the HIV and STI vulnerability among this group of women. A study to estimate the population size of FBWs would also be beneficial and epidemiological studies are needed to estimate the prevalence of HIV and STI among this subgroup of women.

Conclusions

This study concludes that FBWs are a group of women whose profession exposes them to men and given that they promote beer consumption to male customers, most of these women also consume alcohol. These factors motivate them to engage in risky sexual practices which increases their risk of acquiring HIV and STI. Additionally, these women also earn low wages and due to limited socio-economic opportunities, some engage in transactional sex with their male customers as a means of survival. These findings are useful as they will inform the design and implementation of HIV prevention interventions to target this group of women. Although interventions aimed towards reducing risky sexual behavior are important, there is a need for economic empowerment interventions directed towards these women. Such interventions will enable them to be financially viable which may decrease their likelihood of engaging in transactional sex and hence reducing their HIV and STI vulnerability.

Supporting information

S1 Questionnaire. This is the questionnaire that was used to collect data for the study.

https://doi.org/10.1371/journal.pone.0198853.s001

(DOCX)

Acknowledgments

We thank all the young girls and women who participated in the study. The authors also thank Mr Nchoutpouen Limi Cyrille for his support during data collection and study management. We are grateful to everyone who reviewed the earlier draft of this manuscript.

References

  1. 1. World Bank. The World Bank in Cameroon: Socio-economic indicators and country overview 2017Available at http://www.worldbank.org/en/country/cameroon/overview (Accessed 3 August 2017)
  2. 2. DHS-MICS. The 2011 Cameroon Demographic and Health Survey and Multiple Indicators Cluster Survey Yaounde, Cameroon: National Institute of Statistics, 2011.
  3. 3. Ghosh J, Wadhwa V, Kalipeni E. Vulnerability to HIV/AIDS among women of reproductive age in the slums of Delhi and Hyderabad, India. Soc Sci Med. 2009;68(4):638–64. pmid:19070950
  4. 4. Zembe Y, Townsend L, Thorson A, Ekstrom A. Predictors of Inconsistent Condom Use among a Hard to Reach Population of Young Women with Multiple Sexual Partners in Peri-Urban South Africa. PLoS ONE. 2012;7(12):e51998. pmid:23284847
  5. 5. Krishnan S, Dunbar M, Minnis A, Medlin C, Gerdts C, Padian N. Poverty, gender inequities, and women's risk of human immunodeficiency virus/AIDS. Ann N York Acad Sci 2008;1136:1101–10.
  6. 6. Ranganathan M, Heise L, Pettifor A, Silverwood R, Selin A. Transactional sex among young women in rural South Africa: prevalence, mediators and association with HIV infection. J Int AIDS Soc. 2016;19(1):20749. pmid:27469061
  7. 7. Norris A, Kitali A, Worby E. Alcohol and transactional sex: how risky is the mix?. Soc Sci Med. 2009;69(8):1167–76. pmid:19713023
  8. 8. Wamoyi J, Stobeanau K, Bobrova N, Abramsky T, Watts C. Transactional sex and risk for HIV infection in sub-Saharan Africa: a systematic review and meta-analysis. J Int AIDS Soc. 2016;19(1):20992 pmid:27809960
  9. 9. Jewkes R, Dunkle K, Nduna M, Shai N. Transactional Sex and HIV Incidence in a Cohort of Young Women in the Stepping Stones Trial. J AIDS & Clin Res. 2012;3:158.
  10. 10. Wamoyi J, Wight D, Plummer M, Mshana G, Ross D. Transactional sex amongst young people in rural northern Tanzania: an ethnography of young women's motivations and negotiation. BMC Reprod Health. 2010;7:2:
  11. 11. MacPherson E, Sadalaki J, Njoloma M, Nyongopa V, Nkhwazi L, Mwapasa V et al. Transactional sex and HIV: understanding the gendered structural drivers of HIV in fishing communities in southern Malawi. J Int AIDS Soc. 2012;15((Suppl 1):17364).
  12. 12. Hedden S, Hulbert A, Cavanaugh C, Parry C, Moleko A, Latimer W. Alcohol, Drug and Sexual Risk Behavior Correlates of Recent Transactional Sex Among Female Black South African Drug Users. J Subst Use 2011;16(1):57–67. pmid:21603063
  13. 13. Stoebenau K, Nixon S, Rubincam C, Willan S, Zembe Z, Tsikoane T et al. ‘More than just talk: the framing of transactional sex and its implications for vulnerability to HIV in Lesotho, Madagascar and South Africa’.Glob Health 2011;7:34:
  14. 14. Leclerc-Madlala S. Age-disparate and intergenerational sex in southern Africa: the dynamics of hypervulnerability. AIDS. 2008;22(Suppl 4):S17–25.
  15. 15. Onoya D, Reddy P, Sifunda S, Lang D, Wingood G et al. Transactional sexual relationships, sexually transmitted infection risk, and condom use among young Black Women in peri-urban areas of the Western Cape Province of South Africa. Womens Health Issues. 2012;22(3):277–82. http://dx.doi.org/10.1016/j.whi.2011.11.006.
  16. 16. Choudhry V, Ambresin A, Nyakato V, Agardh A. Transactional sex and HIV risks—evidence from a cross-sectional national survey among young people in Uganda. Glob Health Action. 2015;8: pmid:26001780
  17. 17. Scorgie F, Chersich M, Ntanganira I, Gerbase A, Lule F, Lo Y. Socio-Demographic Characteristics and Behavioral Risk Factors of Female Sex Workers in Sub-Saharan Africa: A Systematic Review. AIDS Behav. 2011: pmid:21750918
  18. 18. Webber G, Spitzer D, Somrongthong R, Dat T, Kounnavongsa S. Facilitators and barriers to accessing reproductive health care for migrant beer promoters in Cambodia, Laos, Thailand and Vietnam: a mixed methods study. Global Health. 2012;8:21. pmid:22747607
  19. 19. Racz K, Grumiau S. Promoting Decency? Report on the Situation of Beer Promotion Workers in Cambodia. Centre for Research and Multicultural Corporations, Amsterdam (Available at http://www.fairtradebeer.com/reportfiles/Promoting_decency_SOMO2012.pdf Accessed 15 July 2017). 2012.
  20. 20. Kim A, Sun L, Chhorvann C, Lindan C, Van Griensven F, Kilmarx P, et al. High prevalence of HIV and sexually transmitted infections among indirect sex workers in Cambodia. Sex Trans Dis. 2005;32(12):745–51.
  21. 21. Vandepitte J, Lyerla R, Dallabette G, Crabbe F, Alary M, Buve A. Estimates of the number of female sex workers in different regions of the world. Sex Trans Infect. 2006;82(3): iii18–iii25.
  22. 22. FHI & Thai Ministry of Health. The Asian Epidemic Model (AEM) Projections for HIV/AIDS in Thailand: 2005–2025. Bangkok: Family Health International2008.
  23. 23. Baliunas D, Rehm J, Shuper P. Alcohol consumption and risk of incident human immunodeficiency virus infection: a meta-analysis. Int J Public Health. 2010;55(3):159–66; pmid:19949966
  24. 24. Shuper P, Neuman M, Kanteres F, Baliunas D, Joharchi N, Jurgen R. Causal Considerations on Alcohol and HIV/AIDS—A Systematic Review. Alcohol Alcohol. 2010;45(2):159–66; pmid:20061510
  25. 25. Woolf-King S, Maisto S. Alcohol use and high-risk sexual behavior in Sub-Saharan Africa: a narrative review. Arch Sexual Behav 2011;40:17–42.
  26. 26. Webber G, Spitzer D. Sexual and reproductive health issues facing Southeast Asian beer promoters: a qualitative pilot study. BMC Public Health. 2010;10:389. pmid:20594342
  27. 27. Dijk M, Yi N. Beer Selling Industry of Cambodia (BSIC) Project Monitoring Final Report-Human rights issues confronting women and girls in the Indian Ocean–Asia Pacific region. 2014.
  28. 28. Gerbi G, Habtermariam T, Tameru B, Nganwa D, Robnett V. The correlation between alcohol consumption and risky sexual behaviors among people living with HIV/AIDS. J Subst Use 2009;14(2):90–100. pmid:19693283
  29. 29. Baral S, Beyrer C, Muessig K, Poteat T, Wirtz A, Decker M, et al. Burden of HIV among female sex workers in low-income and middle-income countries: a systematic review and meta-analysis. Lancet Infect Dis. 2012;12(1):538–49.
  30. 30. Census Bureau. 3rd National Population and Housing Census Yaounde, Cameroon: National Census Bureau (BUCREP), 2014.
  31. 31. Singh K, Buckner B, Tate J, Ndubani P, Kamwanga J. Age, poverty and alcohol use as HIV risk factors for women in Mongu, Zambia. Afr Health Sci 2011;11(2):204–10. pmid:21857851
  32. 32. Wamoyi J, Fenwick A, Urassa M, Zaba B, Stones W. “Women’s Bodies are Shops”: beliefs about transactional sex and implications for understanding gender power and HIV prevention in Tanzania. Arch Sex Behav 2011;40(1):5–15. pmid:20652390
  33. 33. Gillespie S, Kadiyala S, Greener R. Is poverty or wealth driving HIV transmission? AIDS. 2007;21(Suppl 7):S5–S16.
  34. 34. Hardee K, Gay J, Croce-Galis M, Peltz A. Strengthening the enabling environment for women and girls: What is the evidence in social and structural approaches in the HIVresponse?. J Int AIDS Society. 2014;17:1–12.
  35. 35. Pascoe S, Langhaug L, Mavhu W, Hargreaves J, Jaffar S, Hayes R, et al. Poverty, Food Insufficiency and HIV Infection and Sexual Behaviour among Young Rural Zimbabwean Women. PLoS ONE. 2015;10(1): e0115290. pmid:25625868
  36. 36. Okigbo C, McCarraher D, Chen M, Pack A. Risk Factors for Transactional Sex among Young Females in Post Conflict Liberia. Afr J Reprod Health. 2014;18(3):133–41. pmid:25438518
  37. 37. Magni S, Christofides N, Johnson S, Weiner R. Alcohol Use and Transactional Sex among Women in South Africa: Results from a Nationally Representative Survey. PLoS ONE 2015;10(12:e0145326. pmid:26683812
  38. 38. Bello B, Moultrie H, Somji A, Chersich M, Charlotte W, Delany-Moretlwe S. Alcohol use and sexual risk behaviour among men and women in inner-city Johannesburg, South Africa. BMC Public Health. 2012;17:4350.
  39. 39. Tumwesigye N, Atuyambe L, Wanyenze R, Kibira S, Li Q, Wabwire-Mangen F et al. Alcohol consumption and risky sexual behaviour in the fishing communities: evidence from two fish landing sites on Lake Victoria in Uganda. BMC Public Health. 2012;12:1069. pmid:23231779
  40. 40. Townsend L, Jewkes R, Mathews C, Johnston L, Flisher A, Zembe Y, et al. HIV risk behaviours and their relationship to intimate partner violence (IPV) among men who have multiple female sexual partners in Cape Town, South Africa. AIDS Behav. 2011;15(1):132–41. pmid:20217470
  41. 41. Kalichman S, Simbayi L, Cain D. HIV transmission risk behaviours among HIV seropositive sexually transmitted infection clinic patients in Cape Town, South Africa. Eur J Public Health. 2010; 20(2):202–6. pmid:19726591
  42. 42. Lama T, Kumoji E, Ketlogetswe D, Anderson M, Brahmbhatt H. Alcohol Consumption and Risky Sexual Behavior Among Persons Attending Alcohol ConsumptionVenues in Gaborone, Botswana. Prev Sci. 2016;17(2):227–36. pmid:26450847
  43. 43. Kalichman S, Simbayi L, 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. pmid:17265194
  44. 44. Rehm J, Shield K, Joharchi N, Shuper P. Alcohol consumption and the intention to engage in unprotected sex: systematic review and meta-analysis of experimental studies. Addiction. 2012;107(1):51–9; pmid:22151318
  45. 45. Scott-Sheldon L, Carey K, Cunningham K, Johnson B, Carey M, Team MR. Alcohol Use Predicts Sexual Decision-Making: A Systematic Review and Meta-Analysis of the Experimental Literature. AIDS Behav. 2016;20(Suppl 1):S19–39; pmid:26080689