Skip to main content

Overview and factors associated with pregnancies and abortions occurring in sex workers in Benin

Abstract

Background

Behavioural and structural factors related to sex work, place female sex workers (FSWs) at high risk of maternal mortality and morbidity (MMM), with a large portion due to unintended pregnancies and abortions. In the African context where MMM is the highest in the world, understanding the frequency and determinants of pregnancy and abortion among FSWs is important in order to meet their sexual and reproductive health needs.

Methods

Data from two Beninese cross-sectional surveys among FSWs aged 18+ (2013, N = 450; 2016, N = 504) were merged. We first performed exploratory univariate analyses to identify factors associated with pregnancy and abortion (p < 0.20) using Generalized Estimating Equations with Poisson regression and robust variance. Multivariate analyses first included all variables identified in the univariate models and backward selection (p ≤ 0.05) was used to generate the final models.

Results

Median age was 39 years (N = 866). The proportion of FSWs reporting at least one pregnancy during sex work practice was 16.4%, of whom 42.3% had more than one. Most pregnancies ended with an abortion (67.6%). In multivariate analyses, younger age, longer duration in sex work, previous HIV testing, having a boyfriend and not using condoms with him were significantly (p < 0.05) associated with more pregnancies.

Conclusion

One FSW out of five had at least one pregnancy during her sex work practice. Most of those pregnancies, regardless of their origin, ended with an abortion. Improving access to various forms of contraception and safe abortion is the key to reducing unintended pregnancies and consequently, MMM among FSWs in Benin.

Peer Review reports

Background

In Sub-Saharan Africa, the maternal mortality ratio (MMR) is the highest in the world with approximately 550 maternal deaths per 100,000 live births as of 2015 [1]. Most of these deaths are avoidable as their main drivers are the lack of access to appropriate quality care [2] and unsafe abortions [3]. Responding to women’s reproductive health needs, such as education on sexual and reproductive health and rights, access to and information on family planning and improved access to quality prenatal, emergency obstetrics, safe abortion and post abortion care, could reduce this burden [4,5,6]. However, behavioural and structural factors related to sex work, such as violence, sex with multiple partners, inconsistent condom use, stigma and discrimination, increase the risk of poor sexual and reproductive health (SRH) and adverse pregnancy outcomes in the population of female sex workers (FSWs) [5]. Since little is known about pregnancies occurring in FSWs SRH services are limited for this specific group [7].

Because of the lack of empowerment and ability to negotiate condom use [8, 9], as well as the strong economic incentives for multiple partners and the provision of condomless sex [10], FSWs are at high risk of pregnancy. The 12-month overall cumulative incidence is quite high, as observed in Cambodia (20%) and Madagascar (23%) [11, 12]. Unfortunately, these studies did not specify whether FSWs desired those pregnancies or not. Yet this distinction is important since unintended pregnancies are highly associated with numerous negative consequences such as social stigmas, financial burden and unsafe abortion [13].

Worldwide, 40% of all pregnancies are unintended [14] and approximately 50% of these unintended pregnancies end in abortion [15]. Unsafe abortion highly contributes to MMR in developing countries [16]. In some studies, the proportion of unintended pregnancies occurring during sex work was around 90% [13, 17] and lifetime abortion rate varies between 35 and 65% [18,19,20,21] among FSWs from low and middle-income countries. With the current available information, it is difficult to know if such abortions mostly occur prior to or after entry into sex work.

Despite the high burden of poor reproductive health, FSWs have a high rate of unmet SRH needs [22, 23] because of the lack of SRH services [24]. A first step to identify those needs is to better quantify this problem and identify the FSWs most at risk. Consequently, this study aimed at gathering knowledge related to pregnancy among FSWs in Benin with the following four objectives: 1) Estimate the frequency of pregnancy occurrence during the practice of sex work; 2) Classify pregnancy outcomes; 3) Assess factors associated with the occurrence of at least one pregnancy during sex work and; 4) Assess factors associated with the occurrence of at least one abortion during the same period among FSWs who became pregnant.

Methods

We used data from two cross-sectional surveys conducted in 2013 and 2016 that recruited, respectively, 450 and 504 FSWs from numerous sex work sites across the country. The primary objective of these surveys was to describe the overall context of sex work in 11 cities or towns located in seven departments of Benin (Fig. 1) and its evolution over this three-year period, when we implemented an human immunodeficiency viruses (HIV) prevention and reproductive health intervention program aimed at FSWs.

Fig. 1
figure1

Map of Benin. Blue-colored areas represent the departments and cities of the project. Figure built using an empty map frame freely and openly available at http://www.carte-du-monde.net/pays-1007-carte-benin-vierge.html and modified using Microsoft® Word for Office 365 MSO (16.0.12624.20348) 64-bit, version 2003

Data collection

Before the two data collection periods, a local team mapped the different sex work sites in Benin. This mapping allowed an exhaustive census of all important sex work sites in the country and enumerated the FSW population (details given elsewhere) [25].

Then, we used cluster sampling to select a representative sample of sex work sites in the intervention localities (Fig. 1). In a second phase, trained and experienced investigators visited each selected site. All FSWs (defined as women aged ≥18 years and selling sex for money or goods at the time of the study) present at each site were enrolled after having provided informed consent. This process was done in 2013 and 2016 until the projected sample size of at least 450 FSWs was reached for each year. Following the recruitment period, investigators administered a quantitative reproductive health questionnaire during face-to-face interviews with each participant. The same questionnaire was used for both cross-sectional surveys.

Outcomes

The two outcomes of interest in the present study were the occurrence of at least one pregnancy and that of at least one abortion since the moment each participant started engaging in sex work.

Independent variables

We explored three types of independent variables during our model selection process: 1) Socio-demographic characteristics (age, region, country of origin, religion, education, marital status, having a boyfriend, cohabitation with a sexual partner, the numbers of dependent individuals and the number of biological children); 2) Sexual behaviours (age at sexual debut, age at first sex work experience, number of years involved in sex work, number of clients during the last working day, number of clients during the last 7 days and money received for the last sexual relation); and 3) Information about the use of SRH prevention services and contraception methods (using at least once SRH prevention services during sex work practice, participating as peer educator in HIV and sexually transmitted infections (STI) preventions activities, being tested for HIV at least once during lifetime, currently using hormonal contraception, condom use with clients and boyfriends in the last 7 days).

Database merging

We evaluated the impact of merging databases from both surveys (2013 and 2016) as means to enhance the statistical power of our analysis and identified participants that may have contributed information to both surveys, in order to exclude one of their contributions or to consider repeated measures in the data analysis. Because no nominal information was disclosed in both surveys, we used aggregate socio-demographic characteristics to identify potential participants contributing information in both surveys. We explored eight different combinations of six variables stable across time (i.e. month and year of birth, country of origin, religion, education level, age at sexual debut and age at first sex work experience).

Statistical analyses

Following merger, we carried out descriptive statistics using proportions for discrete variables and means with standard deviations for continuous variables. We then compared the population characteristics between both cross-sectional surveys. Ultimately, we used univariate and multivariate Poisson regression models to identify factors associated with our two outcomes of interest. We estimated adjusted prevalence ratios (aPR) and their 95% confidence intervals (95%CI) with generalized estimating equations (GEE) using a robust variance estimator to decrease the potential impact of a correlation matrix incorrectly specified, and a clustering effect related to the FSWs recruited at the same prostitution site. We also adjusted all the models for survey year (2013 or 2016) to account for potential variations in behavioural characteristics between both surveys. We used a two-step model selection process to choose our independent variables. First, variables associated with the occurrence of at least one pregnancy with p-values < 0.2 in the univariate analysis were automatically included in the multivariate model. Then, we removed the least associated variables until all p-values were ≤ 0.05. Similar analyses were carried out for the occurrence of abortion among women reporting at least one pregnancy during their sex work practice. We performed all the analyses using SAS 9.4 (SAS Institute, Cary, NC, USA).

Ethical considerations

To diminish the potential impact of sensitive questions, the interviewers were trained on ethical issues. Each participant provided written informed consent prior to the interview and no nominal information was reported on the questionnaire. The study was approved by the ethics committee of the CHU de Québec – Université Laval (Québec, Canada) and by the National Health Research Ethics Committee in Benin.

Results

Database merger

We tested eight different sets of variables in each dataset to validate their specificity. Five of those sets found more than 10 duplicates in the same survey (Additional file 1). Between the three remaining options, we chose the most specific with the fewest variables (options 3 and 8). When we matched the two datasets with the chosen aggregate, we were unable to find any duplicate with option 3 and only two with option 8. Finally, to confirm our decision, we compared all the sites used to recruit FSWs. More than 85% of these sites differed between the two surveys, an observation that also strengthens our choice of merging the two databases together and our confidence in the rarity of duplicates between the two surveys. It is because of that rarity and the uncertainty about the fact it was real duplicates that we decided to leave the data untouched.

Missing data

Of the 954 participants, 88 (9%) had missing data. Eleven women had missing data for the outcomes of interest related to pregnancy (1%) and 77 (8%) for the independent variables. Participants having missing data for the independent variables were not significantly different with regards to the outcomes, compared to those without [at least one pregnancy, 19.3% vs 16.4% (p = 0.48, chi-square); at least one abortion among those who had at least one pregnancy during sex work, 58.8.% vs 67.6% (p = 0.47, chi-square)].

Descriptive analyses

After excluding participants with missing data, our database contained 866 FSWs. Median age was 39 years (interquartile range (IQR): 24–37 years), with the largest proportion of women aged from 20 to 29 years (47.8%). Nearly two-thirds (65.1%) of the women worked in the greater Cotonou region (including the city of Cotonou in Littoral, Abomey-Calavi in Atlantique and Sèmè-Podji in Ouémé), the largest city and economic capital of Benin. Beninese represented 44.0% of the FSWs while Nigerians and Togolese represented, respectively, 26.7 and 18.7% of our sample. Most women had achieved primary (38.1%) or secondary (28.1%) education levels. Regarding marital status, 54.2% of FSWs were divorced or separated and half of them had a boyfriend (52.2%). Only 21.5% of the FSWs were childless and even less in 2016 (15.6% in 2016 vs 27.8% in 2013) (Table 1).

Table 1 Sociodemographic characteristics of the studied population (n = 866)

Median age at sexual debut was 17 years (IQR: 16–19), whereas median age when starting involvement in sex work was 24 years (IQR: 20–30). Median duration in sex work was 4 years (IQR: 2–7). The median number of clients in the last week was 13 (IQR: 6–25) and the last sexual transaction brought back an average of approximately five US dollars (2500 (Franc des communautés financières africaines) FCFA). FSWs surveyed in 2016 had been involved in sex work for a longer period as compared to those surveyed in 2013 (≥ 10 years as sex workers, 27.5% vs 7.7% in 2013) and had fewer clients (Table 1).

The overall use of SRH services was higher in 2016 compared to 2013 and most participants had ever been tested for HIV (97.3% in 2016 vs 87.1% in 2013). In the combined data, the use of SRH services was less common (37.5%) as was the use of hormonal contraception (19.3%). Finally, consistent condom use was high with clients (91.2%) but not with boyfriends (24.5%, 65/265) (Table 1).

Pregnancies among female sex workers

The proportion of women with at least one pregnancy since sex work initiation was 16.4% (142/866) using the merged dataset while it was 18.2 and 14.7%, for the 2013 and 2016 surveys, respectively (p = 0.17, chi-square). Of all the women who had at least one pregnancy occurring while being a sex worker, 42.3% (60/142) had more than one (mean 1.78, SD 1.2). In addition, most FSWs (87%) declared that the pregnancy originated from their boyfriends (vs 13% from the clients) (Table 2).

Table 2 Overview of sex workers’ pregnancies during sex work practice

Pregnancy outcomes in female sex workers

Of the 142 women who had at least one pregnancy since sex work initiation, 67.6% (96/142) had at least one abortion and 43.7% (42/96) of the latter had more than one. This proportion was slightly lower in 2016 (62.1%) than in 2013 (72.4%), but the difference was not statistically significant (p = 0.19, chi-square). The proportion of all 253 pregnancies that occurred in 142 women that ended in abortion was similar among women reporting getting pregnant from a boyfriend (65.6%) and those reporting being pregnant from a client (66.7%) (Table 2).

Factors associated with the occurrence of at least one pregnancy during sex work

Table 3 displays the multivariate analysis of the factors associated with the occurrence of pregnancies during sex work (see Table 2 in the additional files for the crude frequencies and univariate analysis). In multivariate analysis, the risk of having a pregnancy during the practice of sex work decreased as women got older (p < 0.0001). We observed the opposite trend with the number of years women were involved in sex work (p < 0.0001). Having a boyfriend was associated with a 70% increase in the occurrence of at least one pregnancy whereas consistent condom use with boyfriends had a protective effect (aPR = 0.55, 95%CI: 0.3–0.9). Women from Togo and Nigeria were 30% more likely to have had at least a pregnancy compared to FSWs from Benin (aPR = 1.28, 95%CI: 0.9–1.8). Finally, women who had tested for HIV during their lifetime reported being pregnant at least once during sex work more often (aPR = 3.74, 95%CI: 1.5–9.2) than the few women who had not (Table 3).

Table 3 Multivariate analysis for the risk of having at least one pregnancy during sex work (n = 866)

Factors associated with at least one abortion among women who became pregnant during sex work

Out of the 142 women who reported at least one pregnancy during sex work, 140 specified their pregnancies outcomes and the multivariate analysis showed that there was an overall significant association between age and the likelihood of having had at least one abortion, but no significant trend (Table 4). FSWs from Togo were more likely to have had at least one abortion compared to those from Benin (aPR = 1.31, 95%CI: 1.0–1.7) and there was an overall significant difference in the likelihood of having had at least an abortion according to the country of origin (p = 0.0047). Increasing numbers of children decreased the number of abortion (p-trend = 0.0049). However, the association was in the opposite direction for the number of dependents, but with no significant trend. Among FSWs who had to take care financially of one other person, there was a 1.3-fold increase in the likelihood of having an abortion (aPR = 1.32, 95%CI: 1.0–1.8) compared to women with no dependent. A similar association was observed for the fact of having five dependents (aPR = 1.28, 95%CI: 1.0–1.6), but no significant associations were found for women having two, three or four dependents. Consistent condom use, both with clients (aPR = 0.71, 95%CI: 0.5–1.0) and boyfriends (aPR = 0.61 95%CI: 0.4–0.9), was protective against abortion (Table 4). As for the factors associated with the occurrence of at least one pregnancy during sex work practice, the frequencies and univariate analysis are available in the additional files (Table 3).

Table 4 Multivariate analysis for the risk of having at least one abortion for women who had at least one pregnancy during sex work (n = 140)

Discussion

Globally, FSWs are at high risk of unplanned pregnancy and its adverse consequences, including death; Benin is no exception. Our study is one of the first in West Africa that attempts to quantify this risk in order to develop programs that meet FSWs’ SRH needs.

The proportion of women with at least one pregnancy during sex work practice is relatively high in Benin and most of those pregnancies ended in abortion. Young immigrant women, those practicing sex work for longer periods (more than 2 years) and those having a boyfriend are the most at risk for pregnancy. The ones who always use condoms with their boyfriends have significantly fewer pregnancies and abortion, but this represents only a minority of women. The older the women get and the more biological children they have the less they have an abortion to end their pregnancy.

Our findings indicate that a minimum of 16% of the FSWs had at least one pregnancy during their sex work practice and almost half of the latter (42%) had more than one, with an average of 1.8 pregnancies per women. This proportion of women who got pregnant during sex work is similar to the one observed in other studies (around 20%) [11, 12, 26,27,28]. Most of the women were of reproductive age between 20 and 29 years old and most of their pregnancies came from their boyfriends. Clearly less stigma is associated with having a pregnancy from a boyfriend than from a client. Furthermore, condom use with boyfriends was low as reported elsewhere [29]. The non-use of condoms with boyfriends helps the FSWs to make a distinction between their personal and professional life [30]. In addition, the non-use of condoms is usually at the boyfriend’s request and is a way to prove the fidelity of the FSWs [31]. All these perceptions make us believe that a part (even though small) of those pregnancies might be intended, especially when considering that motherhood is highly valued in African countries and is a way for FSWs to gain respect in their community [32]. However, this is worrisome since FSWs’ boyfriends are at high risk of HIV and STI [33].

FSWs who had been tested for HIV at least once during their lifetime reported at least one pregnancy during sex work almost 4 times more often than the ones who never did. We observed this disparity even though almost all FSWs had been tested for HIV (92%). The first hypothesis for explaining this observation is that pregnant women are systematically tested for HIV when seeking prenatal care [34]. The second hypothesis is that women who have unprotected sex consider themselves more likely to contract HIV and this risk perception explains why they had been tested [25]. In Benin, FSWs are overly represented in the HIV epidemic [35] with an HIV prevalence of nearly 20% in the FSW population [36] and a non optimal adherence to antiretroviral therapy (ART) [37]. This explains why the majority of the services available to prevent HIV among FSWs in Sub-Saharan Africa focuses on the promotion and the delivery of condoms instead of focussing on SRH in general [24]. HIV testing services could however be used as a good opportunity to discuss and integrate broader SRH needs, including contraception [22].

FSWs aged < 20 years were particularly at risk of getting pregnant. Indeed, younger FSWs may be less experienced with condom negotiation and have more unprotected sex with their non-paying partners [38]. Those two behaviors put them at higher risk for pregnancy. Research in Cambodia found that younger FSWs were at higher risk for pregnancy and that their ability to negotiate condom use is critical to prevent pregnancy [11]. Since condom negotiation is often difficult, especially for younger sex workers, and condom breakage is common [39, 40], the use of dual contraception is the best method to prevent pregnancy [12]. FSWs in Sub-Saharan Africa underuse hormonal and dual contraception [21, 41,42,43]. We observed the same situation in our sample where only 48% of the women ever used SRH services during sex work and only 20% were currently using hormonal contraception. In Benin’s general population the use of modern contraception is low. The government promotes family planning as part of its national health plan [44] since the best way to prevent maternal and newborn death is the provision of modern contraception combined with adequate care for pregnant women [45]. Many barriers are associated with the use of modern contraception. One of the most frequent barriers is the fear of side effects associated with modern contraception and the opposition toward it [46]. FSWs face numerous stigmas when they need to access health care [47]. They need to have a special attention to access to modern contraception and family planning services. Those services need to focus, among others, on young women who are likely to spend more years as sex workers.

In Benin, the abortion law allows women to access that procedure only if the life of the mother is in danger, in cases of rape, incest or malformations of the foetus [48]. Abortion in Cotonou seems to be fairly accessible in small private health centers but its cost (between 25.50 and 89.00 US dollars) [49] appears highly prohibitive for FSWs. Regardless of origin, 65% of all pregnancies occurring during sex work practice end in abortion. This abortion rate is in the upper range in comparison with previous observations (between 30 and 65%) even if previous studies generally reported lifetime abortion rates among FSWs [18,19,20,21,22, 41]. The high abortion rate likely reflects a high rate of unsafe abortion procedures, which in low resource settings is known to contribute to 13% of overall maternal mortality [3].

With the information available, we did not know in what kind of settings the FSWs accessed abortion. We do know that FSWs have limited economic options, low education and many dependents [50] and those factors place them at higher risk of unsafe abortion [51,52,53].

The high abortion rate observed here might be explained by the fact that the vast majority of FSWs already had their children prior to their involvement in sex work and the number of children is a determining factor for abortion [54, 55]. As we could observe in our sample, FSWs who had more dependents had more chance of having an abortion. Financial vulnerabilities often lead women to become sex workers [56] and having a child increases that financial burden [13]. However, FSWs who have more children have fewer abortions. This surprising result can be explained by the type of study we used. A cross-sectional survey does not enable us to determine the temporality of the events, meaning that maybe the non-use of abortion caused the FSWs to have more children and that fact can explain why the number of children appeared as a protective factor.

Older age is usually a factor associated with abortion [19, 55, 57, 58]. In our analysis, we could not observe a clear trend as we did for the association between age and pregnancy occurrence. We could only use the subsample of 140 women who reported at least one pregnancy during sex work to identify the factors associated with abortion. This relatively small sample size could explain the difficulty to identify clear trends. In our population, as in many countries and populations, abortion was associated with age, marital status and economic factors [45].

Strengths and limitations

We decided to merge the two databases to enhance our statistical power. To do so, we made sure that the data collection followed the identical process and the same tools. We verified that the outcomes of interest had almost equivalent prevalence. However, a study carried out in Cotonou (data not published), showed that FSWs stayed on average 1 year in that city. Knowing that, we could deduce that after 3 years 12.5% of the FSWs would still be in each location. The possibility that we could not identify potential FSWs who would have answered our survey in 2013 and 2016 could affect our estimates. Indeed, without changing the number of observations, the presence of duplicate cases would reduce the effective sample size and the precision of the estimates [59]. To reduce this risk, we compared the two samples to identify possible duplicates and found only two, thus suggesting this would concern only a few women and would thus have minimal impact on the validity of our analyses.

In addition, we could have underestimated the frequency of our outcomes since pregnancy and abortion are sensitive topics. There is a high probability that some women did not disclose some pregnancies or abortions. Consequently, the frequency of pregnancies and abortions that we observed are likely to be underestimated.

Because we used a cross-sectional design, we cannot asses the temporality of the factors associated with pregnancy and abortion. Moreover, it is not possible to establish a causal link between these factors versus pregnancy and abortion and we do not know if the pregnancies were wanted or not. In the future, a longitudinal study could address those limits.

On the positive side, the sample is representative of FSWs from large cities (Cotonou, Porto Novo) and much smaller towns in Benin. Usually the studies assessing pregnancy are only from urban settings [57]. The scale of the survey allowed a good representativeness of the FSW population. Furthermore, this is the first study to assess pregnancy and abortion over the sex work practice period. Most studies exploring these issues cover a specific time period or the entire women’s lifetime [57]. Lastly, the large sample size gave us the opportunity to consider several potential factors associated with the occurrence of pregnancies during sex work.

Conclusion

To conclude, one FSW out of five had at least one pregnancy during her sex work practice. Most of those pregnancies, regardless of their origin, ended with an abortion. Our results suggest that prevention services need to continue to promote condom use and that dual protection is the key to reduce unintended pregnancies in the FSW population. By doing so, maternal mortality could decrease in this vulnerable population. With the available data, this study was not able to specify whether those pregnancies were wanted or not and in which conditions women underwent abortion. More research is needed to find answers to these questions.

Availability of data and materials

The datasets used and analysed during the current study are available from the corresponding author an reasonable request.

Abbreviations

aPR:

Adjusted proportion ratio

ART:

Antiretroviral therapy

FCFA:

Franc des communautés financières africaines

FSWs:

Females sex workers

GEE:

Generalized estimating equations

HIV:

Human immunodeficiency viruses

MMM:

Maternal mortality and morbidity

MMR:

Maternal mortality ratio

SD:

Standard deviation

SRH:

Sexual and reproductive health

STI:

Sexually transmitted infections

References

  1. 1.

    World Health Organization, U., UNFPA. World bank group and the United Nations population division, Trends in maternal mortality: 1990 to 2015. Geneva: World Health Organization; 2015.

  2. 2.

    World Health Organization, Health statistics 2017. Monitoring health for the SDGs., W. press, Editor. Geneva: World Health Organization; 2017.

  3. 3.

    Haddad LB, Nour NM. Unsafe abortion: unnecessary maternal mortality. Rev Obstet Gynecol. 2009;2(2):122–6.

    PubMed  PubMed Central  Google Scholar 

  4. 4.

    Roos N, von Xylander SR. Why do maternal and newborn deaths continue to occur? Best Pract Res Clin Obstet Gynaecol. 2016;36:33–44.

    Article  Google Scholar 

  5. 5.

    World Health Organization. Consolidated guidelines on HIV prevention, diagnosis, treatment and care for key population. Geneva: W.H. Organization; 2014.

    Google Scholar 

  6. 6.

    Ganatra B, Faundes A. Role of birth spacing, family planning services, safe abortion services and post-abortion care in reducing maternal mortality. Best Pract Res Clin Obstet Gynaecol. 2016;36(30.7):145–55.

    Article  PubMed  Google Scholar 

  7. 7.

    Ippoliti NB, Nanda G, Wilcher R. Meeting the reproductive health needs of female key populations affected by HIV in low- and middle-income countries: a review of the evidence. Stud Fam Plann. 2017;2(48):121–51.

    Article  Google Scholar 

  8. 8.

    Swendeman D, et al. Empowering sex workers in India to reduce vulnerability to HIV and sexually transmitted diseases. (1873–5347 (Electronic)). 2009.

  9. 9.

    Platt L.A.-O, et al. Associations between sex work laws and sex workers' health: A systematic review and meta-analysis of quantitative and qualitative studies. (1549–1676 (Electronic)). 2018.

  10. 10.

    Workie HM, Kassie TW Hailegiyorgis. Knowledge, risk perception, and condom utilization pattern among female sex workers in Dire Dawa, EasternEthiopia 2016: a cross-sectional study. Pan African Med J. 2019;32:185. https://doi.org/10.11604/pamj.2019.32.185.16574.

  11. 11.

    Duff P, et al. High pregnancy incidence and low contraceptive use among a prospective cohort of female entertainment and sex workers in Phnom Penh, Cambodia. BMC Pregnancy Childbirth. 2018;18(1):128.

    Article  PubMed  PubMed Central  Google Scholar 

  12. 12.

    Feldblum PJ, et al. Pregnancy among sex workers participating in a condom intervention trial highlights the need for dual protection. Contraception. 2007;76(2):105–10.

    Article  PubMed  Google Scholar 

  13. 13.

    Luchters S, et al. "a baby was an added burden": predictors and consequences of unintended pregnancies for female sex Workers in Mombasa, Kenya: a mixed-methods study. PLoS One. 2016;11(9):e0162871.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. 14.

    Sedgh G, Singh S, Hussain R. Intended and unintended pregnancies worldwide in 2012 and recent trends. Stud Fam Plann. 2014;45(3):301–14.

    Article  PubMed  PubMed Central  Google Scholar 

  15. 15.

    Sedgh G, et al. Abortion incidence between 1990 and 2014: global, regional, and subregional levels and trends. Lancet. 2016;388(10041):258–67.

    Article  PubMed  PubMed Central  Google Scholar 

  16. 16.

    Okonofua F. Abortion and maternal mortality in the developing world. J Obstet Gynaecol Can. 2006;28(11):974–9.

    Article  Google Scholar 

  17. 17.

    Weldegebreal R, et al. Unintended pregnancy among female sex workers in Mekelle city, northern Ethiopia: a cross-sectional study. BMC Public Health. 2015;15:40.

    Article  PubMed  PubMed Central  Google Scholar 

  18. 18.

    Karamouzian M, et al. Lifetime abortion of female sex Workers in Iran: findings of a national bio-Behavioural survey in 2010. PLoS One. 2016;11(11):e0166042.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. 19.

    Bautista CT, et al. Prevalence of lifetime abortion and methods of contraception among female sex workers in Bogota, Colombia. Contraception. 2008;77(3):209–13.

    Article  Google Scholar 

  20. 20.

    Todd CS, et al. Contraceptive utilization and pregnancy termination among female sex workers in Afghanistan. J Womens Health (Larchmt). 2010;19(11):2057–62.

    Article  Google Scholar 

  21. 21.

    Khan MR, et al. Unmet need for contraception among sex workers in Madagascar. Contraception. 2009;79(3):221–7.

    Article  PubMed  Google Scholar 

  22. 22.

    Schwartz S, et al. An urgent need for integration of family planning services into HIV care: the high burden of unplanned pregnancy, termination of pregnancy, and limited contraception use among female sex workers in cote d'Ivoire. J Acquir Immune Defic Syndr. 2015;68(Suppl 2):S91–8.

    Article  PubMed  Google Scholar 

  23. 23.

    Beckham SW, et al. Female sex workers' experiences with intended pregnancy and antenatal care services in southern Tanzania. Stud Fam Plann. 2015;46(1):55–71.

    Article  PubMed  PubMed Central  Google Scholar 

  24. 24.

    Dhana A, et al. Systematic review of facility-based sexual and reproductive health services for female sex workers in Africa. Glob Health. 2014;10:46–58.

    Article  Google Scholar 

  25. 25.

    Batona G, et al. Understanding the intention to undergo regular HIV testing among female sex workers in Benin: a key issue for entry into HIV care. J Acquir Immune Defic Syndr. 2015;68(Suppl 2):S206–12.

    Article  PubMed  Google Scholar 

  26. 26.

    Deschamps MM, et al. Feasibility of identifying a female sex worker cohort at high risk of HIV infection in the Caribbean for HIV vaccine efficacy trials: longitudinal results of HVTN 907. J Acquir Immune Defic Syndr. 2016;71(1):70–7.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  27. 27.

    Braunstein SL, et al. High human immunodeficiency virus incidence in a cohort of Rwandan female sex workers. Sex Transm Dis. 2011;38(5):385–94.

    Article  PubMed  Google Scholar 

  28. 28.

    Van Damme L, et al. Lack of effectiveness of cellulose sulfate gel for the prevention of vaginal HIV transmission. N Engl J Med. 2008;359(5):463–72.

    Article  PubMed  Google Scholar 

  29. 29.

    Voeten HA, et al. Female sex workers and unsafe sex in urban and rural Nyanza, Kenya: regular partners may contribute more to HIV transmission than clients. Trop Med Int Health. 2007;12(2):174–82.

    CAS  PubMed  Google Scholar 

  30. 30.

    Deering KN, et al. Fertility intentions, power relations and condom use within intimate and other non-paying partnerships of women in sex work in Bagalkot District, South India. AIDS Care. 2015;27(10):1241–9.

    Article  PubMed  Google Scholar 

  31. 31.

    Bhattacharjee P, et al. Understanding the relationship between female sex workers and their intimate partners: lessons and initial findings from participatory research in North Karnataka, South India. Health Educ Behav. 2018;45(5):824–35.

    Article  PubMed  PubMed Central  Google Scholar 

  32. 32.

    Beckham SW, et al. 'If you have children, you have responsibilities': motherhood, sex work and HIV in southern Tanzania. Cult Health Sex. 2015;17(2):165–79.

    Article  PubMed  Google Scholar 

  33. 33.

    Lowndes CM, et al. Role of core and bridging groups in the transmission dynamics of HIV and STIs in Cotonou, Benin, West Africa. Sex Transm Infect. 2002;78(Suppl 1):i69–77.

    Article  PubMed  PubMed Central  Google Scholar 

  34. 34.

    Papworth E, et al. Mothers who sell sex: a potential paradigm for integrated HIV, sexual, and reproductive health interventions among women at high risk of HIV in Burkina Faso. J Acquir Immune Defic Syndr. 2015;68(Suppl 2):S154–61.

    Article  PubMed  Google Scholar 

  35. 35.

    Baral S, 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(7):538–49.

    Article  PubMed  Google Scholar 

  36. 36.

    Ministère de la santé, D.n.d.l.S.P., Programme National de Lutte contre le Sida et les IST. Enquête de surveillance de deuxième génération relative aux IST, VIH et SIDA au Bénin (ESDG - 2015). Bénin: Professionnelles de sexe & Serveuses de bars et restaurants; 2016. p. 1–144.

    Google Scholar 

  37. 37.

    Diabate S, Zannou DM, Geraldo N, Chamberland A, Akakpo J, Ahouada C, Loembé MM, Anagonou S, Labbé MC, Alary M, Trembay C. Antiretroviral therapy among HIV-1 infected female sex workers in Benin: A comparative study with patients from the general population. World J AIDS. 2011;1:94–9.

    Article  Google Scholar 

  38. 38.

    Delany-Moretlwe S, et al. Providing comprehensive health services for young key populations: needs, barriers and gaps. J Int AIDS Soc. 2015;18(2 Suppl 1):19833.

    Article  PubMed  PubMed Central  Google Scholar 

  39. 39.

    Tounkara FK, et al. Violence, condom breakage, and HIV infection among female sex workers in Benin, West Africa. Sex Transm Dis. 2014;41(5):312–8.

    Article  PubMed  PubMed Central  Google Scholar 

  40. 40.

    Lau JT, et al. Condoms used but sex not well protected. AIDS Behav. 2014;18(10):1934–44.

    CAS  Article  PubMed  Google Scholar 

  41. 41.

    Chanda MM, et al. Contraceptive use and unplanned pregnancy among female sex workers in Zambia. Contraception. 2017;96(3):196–202.

    Article  PubMed  PubMed Central  Google Scholar 

  42. 42.

    Erickson M, et al. Structural determinants of dual contraceptive use among female sex workers in Gulu, northern Uganda. Int J Gynaecol Obstet. 2015;131(1):91–5.

    Article  PubMed  Google Scholar 

  43. 43.

    Yam EA, et al. Use of dual protection among female sex workers in Swaziland. Int Perspect Sex Reprod Health. 2013;39(2):69–78.

    Article  PubMed  Google Scholar 

  44. 44.

    Guttmacher institut, A.b.p.l.m.s. Pratique contraceptive au Bénin; 2015.

    Google Scholar 

  45. 45.

    Darroch JE. Adding It Up: Investing in Contraception and Maternal and Newborn Health, 2017—Estimation Methodology. New York: GuttmacherInstitute; 2018.

  46. 46.

    Guttmacher instiute. Obstacles à la pratique contraceptive des femmes au Bénin: G. institute; 2016. NY, US.

  47. 47.

    Scorgie F, et al. We are despised in the hospitals': sex workers' experiences of accessing health care in four African countries. Cult Health Sex. 2013;15(4):450–65.

    Article  PubMed  Google Scholar 

  48. 48.

    United Nations. World abortion policies 2013; 2013. Available from: http://www.un.org/en/development/desa/population/publications/policy/world-abortion-policies-2013.shtml.

    Google Scholar 

  49. 49.

    Baxerres C, et al. Abortion in two francophone African countries: a study of whether women have begun to use misoprostol in Benin and Burkina Faso. Contraception. 2018;97(2):130–6.

    Article  PubMed  Google Scholar 

  50. 50.

    Scorgie F, et al. Socio-demographic characteristics and behavioral risk factors of female sex workers in sub-saharan Africa: a systematic review. AIDS Behav. 2012;16(4):920–33.

    Article  PubMed  Google Scholar 

  51. 51.

    Biney AA, Atiglo DY. Examining the association between motivations for induced abortion and method safety among women in Ghana. Women Health. 2016;57(2):1044–60.

    PubMed  Google Scholar 

  52. 52.

    Goyaux N, et al. Complications of induced abortion and miscarriage in three African countries: a hospital-based study among WHO collaborating centers. Acta Obstet Gynecol Scand. 2001;80(6):568–73.

    CAS  PubMed  Google Scholar 

  53. 53.

    Sundaram A, et al. Factors associated with abortion-seeking and obtaining a safe abortion in Ghana. Stud Fam Plann. 2012;43(4):273–86.

    Article  PubMed  Google Scholar 

  54. 54.

    Maina BW, Mutua MM, Sidze EM. Factors associated with repeat induced abortion in Kenya. BMC Public Health. 2015;15:1048.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  55. 55.

    Decker MR, et al. Induced abortion, contraceptive use, and dual protection among female sex workers in Moscow, Russia. Int J Gynaecol Obstet. 2013;120(1):27–31.

    Article  PubMed  Google Scholar 

  56. 56.

    Ingabire MC, et al. Joining and leaving sex work: experiences of women in Kigali, Rwanda. Cult Health Sex. 2012;14(9):1037–47.

    Article  PubMed  Google Scholar 

  57. 57.

    Ampt FH, et al. Incidence of unintended pregnancy among female sex workers in low-income and middle-income countries: a systematic review and meta-analysis. BMJ Open. 2018;8(9):e021779.

    Article  PubMed  PubMed Central  Google Scholar 

  58. 58.

    Sopheab H, et al. Characteristics, risk behaviors and factors associated with abortion among female entertainment workers in Cambodia. Reprod Health. 2015;12:82–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  59. 59.

    Sarracino, F., Mikucka, M.,. Estimation bias due to duplicated observation: a Monte Carlo simulation. MPRA 2016 [cited 2018 12–20]; Available from: https://mpra.ub.uni-muenchen.de/69064/.

Download references

Acknowledgements

The authors thank the study participants and the interviewers for their contribution to the study.

Funding

This study was funded by the Canadian Institutes of Health Research (grants # ROH-115205 and # FDN-143218). The funder did not play any role in conducting the research or writing the paper.

Author information

Affiliations

Authors

Contributions

MA, FAG, LA, EB, MPG, DMZ and AK designed the study. FAG, GB, FK, and LB collected the data. GPS analyzed and interpreted the data regarding the three objectives of this article. MA supervised closely all the steps leading to the production of this article and was the principal investigator on the grant that supported the study financially. FAG, GB, LA, EB and MPG revised the manuscript for important intellectual content. The authors read and approved the final manuscript and accept responsibility for the integrity of the data analysis. As for being accountable for all aspects of the work in ensuring that questions related to the accuracy or the integrity of any part of the work are appropriately investigated and resolved.

Authors’ information

Gentiane Perrault Sullivan, MSc., Psy. Ed.: Madame Perrault Sullivan is a PhD. Student in epidemiology at Université Laval. Her primary research interest is the reproductive health of vulnerable populations. She specializes in pregnancy outcomes, pregnancy intention and the prevention of unintended pregnancy.

Fernand A. Guédou, MD, MSc, Dip. GUM, PhD is a medical doctor, microbiologist and epidemiologist and specialized in genito-urinary medicine. He is researcher at the Dispensaire IST in Cotonou, Benin and coordinating the research progam POCAO. His research interests are STI/HIV prevention and reproductive health.

Georges Batona, MSc, PhD is a specialist in program planning and evaluation. A graduate of Laval University, Quebec Canada, he is a research assistant and program officer at the Dispensaire IST in Cotonou, Benin. His research interests are HIV/AIDS prevention, reproductive health, health promotion, participatory research.

Frédéric Kintin is a Beninese doctor, graduate of a master’s degree in tropical biomedical sciences. He has been an independent consultant since 1996. He has coordinated several HIV/AIDS projects/programs and carried out missions to evaluate health promotion projects among vulnerable populations.

Luc Béhanzin is a medical doctor, Community health specialist and epidemiologist. He specialized in major epidemics (HIV, viral hemorrhagic fevers, etc.). He is a researcher at Dispensaire IST in Cotonou, and a research associate at University of Parakou in Benin.

Lisa Avery BSc, MIH, MD, is an obstetrician and gynecologist and an assistant professor at the University of Manitoba’s Centre for Global Public Health. Her primary research interest is the sexual and reproductive health and rights of marginalized populations globally.

Emmanuelle Bédard, Mps, Ph.D., is professor in Nursing sciences at Université du Québec à Rimouski. She works in health promotion with different populations who live in vulnerable context especially female sex workers in West Africa and Canada.

Marie-Pierre Gagnon is Full Professor, Faculty of Nursing, Laval University, and researcher, Quebec University Hospital Research Centre. She is Tier 2 Canada Research Chair in Technologies and Practices in Health. Her research focuses on patient involvement and innovations in healthcare.

Djimon Marcel Zannou is an internal medicine specialist at the Centre national universitaire HMK. He is also professor of medicine and vice-rector of academic affairs at University of Abomey-Calavi, Cotonou, Benin. He oversees the main HIV clinic in Benin.

Adolphe Codjo Kpatchavi is a full professor in health anthropology at the University of Abomey-Calavi, Benin. He is also the scientific director of the Laboratoire d’anthropologie médicale appliquée. His research focuses on access to care, health politics and systems and HIV-AIDS.

Michel Alary is a medical epidemiologist and Professor of epidemiology, Faculty of Medicine, Université Laval. He has devoted most of his career to epidemiologic and prevention research among the most vulnerable populations in the field of HIV/STIs and reproductive health.

Corresponding author

Correspondence to Michel Alary.

Ethics declarations

Ethics approval and consent to participate

Each participant provided written informed consent prior to the interview and no nominal information was reported on the questionnaire. The study was approved by the ethics committee of the CHU de Québec – Université Laval (Québec, Canada) and by the National Health Research Ethics Committee in Benin.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Additional file 1.

Duplicate observations identification test.

Additional file 2

Univariate analysis for the risk of having at least one pregnancy during sex work (n = 866).

Additional file 3

Univariate analysis for the risk of having at least one abortion for women who had at least one pregnancy during sex work (n = 140).

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Perrault Sullivan, G., Guédou, F.A., Batona, G. et al. Overview and factors associated with pregnancies and abortions occurring in sex workers in Benin. BMC Women's Health 20, 248 (2020). https://doi.org/10.1186/s12905-020-01091-6

Download citation

Keywords

  • Sex workers
  • Abortion
  • Pregnancy
  • Sub-Saharan Arica
  • Epidemiology