Factors Influencing Abortion Among Brothel-Based Female Sex Workers in Rural West Bengal, India
Aniruddha Biswas, Sanjoy K Sadhukhan, Jayita Pal, Rama R Pati, Protim Ray, Rajdeep Shaw, Nilima Saren

TL;DR
This study explores why female sex workers in rural West Bengal experience inconsistent condom use and abortions, highlighting the need for better reproductive health support.
Contribution
The study identifies specific factors influencing abortion and condom use among rural brothel-based female sex workers in India.
Findings
Higher daily income and condom breakage were significant predictors of irregular condom use.
Cohabitation and longer sex work duration were strongly associated with abortion.
Most participants did not use emergency contraception after condom breakage.
Abstract
Introduction: Female sex workers (FSWs) face significant reproductive health challenges, including inconsistent condom use and high rates of unintended pregnancies and abortions. Understanding factors influencing these outcomes, particularly in rural brothel settings, is essential for targeted interventions. Methods: A cross-sectional study was conducted among brothel-based FSWs in a rural region. Data on sociodemographic characteristics, sexual and contraceptive behaviors, and reproductive health outcomes were collected through structured interviews. Multivariate logistic regression was used to identify determinants of irregular condom use and abortion. Results: The study included 210 FSWs, aged 19-49 years (mean 29.3 ± 5.6). All reported consistent condom use with clients; however, only 25 (18.8%) used condoms regularly with cohabiting partners. Among those with irregular condom use…
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| Category | Sub-category | No. (%) |
| Age group (years) | Up to 20 | 8 (3.8%) |
| 21–25 | 50 (23.8%) | |
| 26–30 | 77 (36.7%) | |
| 31–35 | 49 (23.3%) | |
| 36–40 | 20 (9.5%) | |
| Above 40 | 6 (2.9%) | |
| Marital status | Never married | 10 (4.8%) |
| Currently married | 84 (40.0%) | |
| Widowed | 25 (11.9%) | |
| Separated/Divorced | 91 (43.3%) | |
| Cohabiting status | None | 77 (36.7%) |
| Husband | 75 (35.7%) | |
| Babu | 49 (23.3%) | |
| Both | 9 (4.3%) | |
| Educational status | No formal education | 34 (16.2%) |
| Below primary | 21 (10.0%) | |
| Primary | 51 (24.3%) | |
| Middle school | 70 (33.3%) | |
| Secondary | 26 (12.4%) | |
| Higher secondary and above | 8 (3.8%) | |
| Additional occupation | Maidservant | 10 (4.8%) |
| Petty business | 6 (2.9%) | |
| Non-agricultural labor | 4 (1.9%) | |
| Tailor | 4 (1.9%) | |
| Bar dancer | 3 (1.4%) | |
| Peer educator | 2 (1.0%) | |
| No. of living children | 0 | 24 (11.4%) |
| 1 | 68 (32.4%) | |
| 2 | 103 (49.0%) | |
| ≥3 | 15 (7.2%) | |
| No. of family members | 0 | 3 (1.4%) |
| 1 | 4 (1.9%) | |
| 2 | 17 (8.1%) | |
| 3 | 40 (19.0%) | |
| 4 | 79 (37.6%) | |
| 5 | 49 (23.4%) | |
| ≥6 | 18 (8.6%) | |
| Daily income (in ₹) | Up to 2000 | 128 (61.0%) |
| 2001–4000 | 76 (36.1%) | |
| Above 4000 | 6 (2.9%) | |
| Smoker | Total Smokers | 62 (29.5%) |
| Up to 5 Years | 48 (22.8%) | |
| Above 5 Years | 14 (6.7%) | |
| Smokeless Tobacco Users | Total users | 50 (23.8%) |
| Up to 5 years | 30 (14.3%) | |
| Above 5 years | 20 (9.5%) | |
| Alcohol Users | Total users | 58 (27.6%) |
| Up to 5 years | 44 (20.9%) | |
| Above 5 years | 14 (6.7%) |
| Category | Sub-category | No. (%) |
| Occupational profile | ||
| Age of joining the profession | Below 20 | 54 (25.7%) |
| 21–25 | 95 (45.2%) | |
| 26–30 | 34 (16.2%) | |
| 31–35 | 22 (10.5%) | |
| 36–39 | 5 (2.4%) | |
| Duration in profession (years) | 1–5 | 149 (71.0%) |
| 6–10 | 38 (18.1%) | |
| >10 | 23 (11.0%) | |
| Clients per month | ≤100 | 59 (28.1%) |
| 101–200 | 78 (37.2%) | |
| 201–300 | 45 (21.4%) | |
| 301–400 | 15 (7.1%) | |
| >400 | 13 (6.2%) | |
| High-risk behavioral practices | Tattooing/body piercing | 87 (41.4%) |
| Sex under influence of alcohol | 55 (26.2%) | |
| Sexual intercourse other than vaginal | 38 (18.1%) | |
| Only oral | 32 (15.2%) | |
| Oral and anal | 6 (2.9%) |
| Category | Sub-category / Description | No. (%) |
| Condom use (self-reported) | ||
| Last intercourse with a paying partner | Used condom | 210 (100.0%) |
| Last intercourse with cohabiting partner (n=133) | Used condom | 25 (18.8%) |
| Condom use with a cohabiting partner in the last two weeks (n=133) | ||
| Frequency of use | Regular use | 18 (13.5%) |
| Irregular use | 115 (86.5%) | |
| Reasons for irregular condom use (n=115) | ||
| Main reason | Trust in partner | 74 (64.4%) |
| Partner’s refusal to use condoms | 16 (13.9%) | |
| Use of other contraceptive methods | 11 (9.6%) | |
| Permanent sterilization | 9 (7.8%) | |
| Participant unwilling to use condoms | 5 (4.3%) | |
| Experience of condom breakage | Ever experienced breakage (includes intentional tearing) | 177 (84.3%) |
| Post-condom breakage actions taken (n=177) | ||
| Response | Took no action | 21 (11.8%) |
| Washed genitals only | 139 (78.5%) | |
| Took emergency contraceptive (EC) pill only | 11 (6.2%) | |
| Washed genitals and took EC pill | 6 (3.5%) | |
| Female condom awareness and use | Heard about a female condom | 35 (16.7%) |
| Ever used a female condom | 1 (0.5%) | |
| Use of other contraceptives | Oral contraceptive pill (OCP) | 62 (29.5%) |
| Permanent sterilization | 41 (19.5%) | |
| Intrauterine contraceptive device (IUCD) | 20 (9.5%) | |
| Emergency contraceptive (EC) | 17 (8.1%) | |
| Injectable contraceptive | 2 (1.0%) |
| Characteristic | Category (n) | Irregular Use No. (%) | OR (95% CI) | AOR (95% CI) |
| Age (in years) | Below 29 (100) | 61 (61.0%) | 1.62 (0.94–2.81) | – |
| 29 and above (110) | 54 (49.1%) | 1 (Reference) | 1 (Reference) | |
| Educational status | Up to primary (106) | 52 (49.1%) | 0.63 (0.362–1.08) | – |
| More than primary (104) | 63 (60.6%) | 1 (Reference) | 1 (Reference) | |
| Income per day (INR) | Above 2000 (82) | 56 (68.3%) | 2.52 (1.41–4.50) | 2.22 (1.12–4.40) |
| Up to 2000 (128) | 59 (46.1%) | 1 (Reference) | 1 (Reference) | |
| Any substance use | Yes (114) | 63 (55.3%) | 1.05 (0.61–1.80) | – |
| No (96) | 52 (54.2%) | 1 (Reference) | 1 (Reference) | |
| Duration in profession | ≥3.5 years (105) | 64 (61.0%) | 1.65 (0.96–2.86) | – |
| <3.5 years (105) | 51 (48.6%) | 1 (Reference) | 1 (Reference) | |
| Clients per month | ≥155 (105) | 66 (62.9%) | 1.93 (1.11–3.36) | 1.13 (0.58–2.22) |
| <155 (105) | 49 (46.7%) | 1 (Reference) | 1 (Reference) | |
| Sex under the influence of alcohol | Yes (55) | 33 (60.0%) | 1.34 (0.72–2.49) | – |
| No (155) | 82 (52.9%) | 1 (Reference) | 1 (Reference) | |
| Tattooing/body piercing | Present (87) | 53 (60.9%) | 1.53 (0.88–2.68) | – |
| Absent (123) | 62 (50.4%) | 1 (Reference) | 1 (Reference) | |
| Non-vaginal sexual intercourse | Yes (38) | 26 (68.4%) | 2.02 (0.96–4.26) | – |
| No (172) | 89 (51.7%) | 1 (Reference) | 1 (Reference) | |
| History of STI/RTI | Yes (94) | 61 (64.9%) | 2.12 (1.21–3.71) | 1.93 (1.08–3.45) |
| No (116) | 54 (46.6%) | 1 (Reference) | 1 (Reference) | |
| Condom breakage history | Yes (177) | 103 (58.2%) | 2.44 (1.13–5.26) | 2.49 (1.10–5.64) |
| No (33) | 12 (36.4%) | 1 (Reference) | 1 (Reference) |
| Characteristic | Category (n) | Abortion No. (%) | OR (95% CI) | AOR (95% CI) |
| Age (in years) | Below 29 (100) | 39 (35.5%) | 2.07 (1.11–3.84) | 1.65 (0.78–3.47) |
| 29 and above (110) | 21 (21.0%) | 1 (Reference) | 1 (Reference) | |
| Cohabiting partner | Present (133) | 46 (34.6%) | 2.38 (1.21–4.70) | 7.14 (2.11–24.12) |
| Absent (77) | 14 (18.2%) | 1 (Reference) | 1 (Reference) | |
| Educational status | Up to primary (106) | 34 (32.1%) | 1.42 (0.76–2.59) | – |
| More than primary (104) | 26 (25.0%) | 1 (Reference) | 1 (Reference) | |
| Income per day (INR) | Up to 2000 (128) | 43 (33.6%) | 1.93 (1.01–3.70) | 1.26 (0.58–2.73) |
| Above 2000 (82) | 17 (20.3%) | 1 (Reference) | 1 (Reference) | |
| Any substance use | Yes (114) | 36 (31.6%) | 1.39 (0.75–2.54) | – |
| No (96) | 24 (25.0%) | 1 (Reference) | 1 (Reference) | |
| Duration in profession (years) | ≥3.5 years (105) | 39 (37.1%) | 2.36 (1.27–4.40) | 2.09 (1.03–4.26) |
| <3.5 years (105) | 21 (20.0%) | 1 (Reference) | 1 (Reference) | |
| Clients per month | ≥155 (105) | 30 (28.6%) | 1.00 (0.60–1.82) | – |
| <155 (105) | 30 (28.6%) | 1 (Reference) | 1 (Reference) | |
| Sex during alcohol use | Yes (55) | 10 (18.2%) | 2.14 (1.00–4.59) | 3.03 (1.25–7.31) |
| No (155) | 50 (32.3%) | 1 (Reference) | 1 (Reference) | |
| Tattooing/body piercing | Present (87) | 29 (33.3%) | 1.48 (0.81–2.71) | – |
| Absent (123) | 31 (25.2%) | 1 (Reference) | 1 (Reference) | |
| Non-vaginal sexual intercourse | Yes (38) | 7 (18.4%) | 1.97 (0.82–4.76) | – |
| No (172) | 53 (30.8%) | 1 (Reference) | 1 (Reference) | |
| Condom use | Irregular (115) | 37 (32.2%) | 1.49 (0.81–2.74) | – |
| Regular (95) | 23 (24.2%) | 1 (Reference) | 1 (Reference) | |
| Condom breakage | Yes (177) | 56 (31.6%) | 3.36 (1.13–10.0) | 2.81 (0.90–8.78) |
| No (33) | 4 (12.1%) | 1 (Reference) | 1 (Reference) |
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Taxonomy
TopicsSex work and related issues · HIV, Drug Use, Sexual Risk · HIV/AIDS Research and Interventions
Introduction
Access to safe and legal abortion remains a critical component of reproductive rights; however, despite the Medical Termination of Pregnancy (MTP) Act legalizing abortion in India since 1971, access remains inequitable for marginalized groups such as female sex workers (FSWs) [1]. FSWs frequently encounter reproductive health challenges including unwanted pregnancies, restricted contraceptive options, and unsafe abortion procedures-often exacerbated by socio-cultural stigma, economic vulnerabilities, and healthcare discrimination [2-4]. Studies show that globally, FSWs experience higher rates of unintended pregnancies and abortion than the general female population due to inconsistent condom use, contraceptive failure, lack of negotiation power, and client refusal [5,6]. Unsafe abortions continue to be a significant contributor to maternal morbidity and mortality, particularly when carried out in unregulated settings or by unqualified providers [7].
Previous research in India has primarily focused on urban sex workers, particularly in metropolitan areas [8,9]. In contrast, data on abortion-related factors among FSWs in rural areas remain limited. Rural FSWs, often outside formal brothel systems, lack adequate access to healthcare infrastructure and reproductive services, with minimal support from NGOs and community organizations [10,11]. In West Bengal, rural districts such as North 24 Parganas, Murshidabad, and Nadia are known for hidden FSW populations with limited mobility and access to reproductive health resources, despite governmental and non-governmental efforts through initiatives like the National Health Mission [12].
To date, no community-based studies have comprehensively examined the determinants of induced abortion among FSWs in rural West Bengal. This research aims to fill that gap by identifying sociodemographic, occupational, and reproductive health-related variables associated with abortion in this marginalized group. The findings are anticipated to support targeted, evidence-based reproductive health interventions.
Materials and methods
Study design and area
A community-based observational approach was adopted using a cross-sectional study design to determine the prevalence of induced abortion specifically after joining the profession and associated factors among FSWs operating within brothels. The research was carried out in Matia Bazar, located in the Basirhat-II block along Taki Road, roughly 60 kilometers from Kolkata, West Bengal, a red-light area. Red-light areas are designated urban zones or neighborhoods where sex work is practiced openly [13]. This red-light area includes nearly 100 functioning brothels. The Durbar Mahila Samanwaya Committee (DMSC) facilitates local support services through a dedicated drop-in center and clinic.
Study population and eligibility criteria
The study targeted brothel-based FSWs who were officially enrolled with the DMSC and had resided in the study location for at least one year before the commencement of the study. Women who were either critically unwell or declined to participate were not considered for inclusion.
Sample size and sampling procedure
Drawing upon prior data that estimated lifetime pooled prevalence of abortion among FSWs, as per a systematic review and meta-analysis conducted in 2023, at around 37.7%, the required sample size was calculated as 185 participants to achieve a 95% confidence interval and a 7% precision [5]. To accommodate a possible 10% non-response rate, the sample size was adjusted upward to 204; rounding it off, the researchers finalized the sample size to 210. A list of all eligible participants was compiled using DMSC registration records. From this list, 210 individuals were selected using a simple random sampling method without replacement.
Study instruments and data collection techniques
An interview schedule was initially crafted in English and then translated into Bengali by a language expert, ensuring linguistic and cultural relevance. To validate the translation, two independent researchers, unaware of the original content, retranslated it into English. The instrument’s face and content validity were verified by experienced researchers and public health professionals. Reliability was confirmed using the test-retest approach. Pilot testing was performed, and the tool was refined accordingly before full-scale data collection. Data collection was conducted through direct, in-person interviews after obtaining voluntary written consent from each participant.
Field procedure
The principal investigator, accompanied by a peer educator affiliated with the DMSC (serving solely as a facilitator), visited the homes of selected FSWs. After briefing participants on the study objectives, informed consent was obtained. Interviews and relevant clinical examinations were conducted in the presence of a female attendant to ensure participant comfort and safety. In cases where a selected participant was unavailable, up to two follow-up visits were made. If a participant declined or was found ineligible, the nearest eligible FSW was approached as a replacement.
To address the sensitivity of abortion-related topics and reduce interviewer and social desirability bias, several safeguards were implemented. The presence of a trusted peer educator helped foster a secure environment and encouraged open communication. Interviewers were specially trained in ethical data collection practices, confidentiality assurance, and non-judgmental interviewing techniques. Data collection was carried out in private and familiar settings, such as NGO drop-in centers or discreet community spaces. Participants were clearly assured of anonymity and informed that their responses would remain confidential and have no personal repercussions. The interview schedule was designed with neutral, non-leading questions, and indirect questioning techniques were used for particularly sensitive topics. Efforts were made to build rapport early in the interaction to facilitate candid disclosure.
Information was collected on participants' socio-demographic, behavioral, and occupational characteristics, contraceptive use, abortion history, and self-reported reproductive tract infection (RTI)/ sexually transmitted infection (STI) symptoms within the past year. Throughout the study, strict adherence to ethical and confidentiality protocols was maintained.
Ethical clearance
It was obtained from both from Institutional Ethics Committee [IEC/2023(1)/14] and Durbar Ethics Review Board [DERB-02/2023].
Data analysis
Collected data were entered into Microsoft Excel (2021; Microsoft Corporation, Redmond, USA) and subsequently analyzed using Jamovi software (version 2.5.3). Descriptive statistics including mean values, standard deviations, frequencies, and proportions were computed and organized in tables. For inferential statistics, chi-square or Fisher’s exact tests were applied for categorical variables, while t-tests or ANOVA were employed for continuous variables. A p-value less than 0.05 was considered statistically significant, and all tests were two-tailed. Bivariate analyses were initially performed to explore associations between various factors and STD presence. Variables that showed significant relationships were included in a multivariable logistic regression model to identify independent predictors. Multicollinearity was assessed using the variance inflation factor (VIF) values prior to model fitting. All variables retained in the final model had VIF values below the commonly accepted threshold of 2, indicating low multicollinearity.
Results
Sociodemographic profile
The age of participants ranged from 19 to 49 years, with a mean age of 29.3 years (±5.6) and a median of 29 years. A majority, 127(60.5%), were in the 21-30-year age group. Regarding marital status, 91(43.3%) were divorced or separated, and 84(40%) were currently married.
In terms of cohabitation, 77(36.7%) reported living without a partner, 75(35.7%) resided with their husbands, 49(23.3%) lived with a babu (non-marital partner), and 9(4.3%) lived with both a husband and a babu. Educational levels varied: 70(33.3%) had completed middle school, 51(24.3%) had primary education, 34(16.2%) had never attended formal school, and only 8(3.8%) had studied beyond higher secondary level.
In addition to sex work, 29(13.8%) of participants engaged in supplementary income-generating activities such as domestic labor, tailoring, or small-scale business.
Nearly half of the participants, 103(49%), reported having two children. The average number of children per participant was 1.52 (±0.8), and the average number of dependents was 3.96 (±1.3), with most supporting three or more individuals.
Daily income among participants ranged from ₹400 to ₹9000, with a mean income of ₹2104 (±1176) and a median income of ₹2000. About 128(61%) reported earning ₹2000 or less per day.
Substance use was reported by 114(54.2%) of participants. Smoking was reported by 62(29.5%), with 48(22.8%) having smoked for five years or less. Use of smokeless tobacco was noted in 50(23.8%) of participants, of whom 30(14.3%) had been using it for more than five years. Alcohol consumption was reported by 58(27.6%), with 44(20.9%) drinking for five years or less (Table 1).
Occupational characteristics
The most frequently reported age of entry into sex work was between 21 and 25 years, accounting for 95(45.2%) of participants. The overall age range at initiation into the profession spanned from 15 to 39 years, with a mean age of 24.1 years (±4.7). A majority, 149(71.0%), had been engaged in sex work for five years or less. The mean duration in the profession was 5.1 years (±4.6), while the median duration was 3.5 years, with an interquartile range (IQR) of 4.8 years.
In terms of work intensity, participants reported serving an average of 9.6 clients per day and being professionally active for an average of 19.1 days per month (±3.4). The number of clients served monthly varied significantly, ranging from 30 to 552, with a median of 155 clients (IQR: 152).
High-risk practices were notable among the participants. Body modifications, including tattoos and piercings, were reported by 87(41.4%) of respondents. Additionally, 55(26.2%) reported engaging in sexual activity while under the influence of alcohol. Regarding non-vaginal sexual behaviors, 38(18.1%) of participants acknowledged participating in alternative practices; of these, 32(15.2%) engaged exclusively in oral sex, while 6(2.9%) reported both oral and anal sexual activities (Table 2).
Contraceptive practices and reproductive health outcomes. While all FSWs reported consistent condom use with clients, only 25(18.8%) did so with their live-in partners. Among the 115(86.5%) who admitted to inconsistent condom use in such relationships, the primary reason cited by 74(64.4%) was a sense of trust in their partners. Within the past six months, 177(84.3%) of participants had experienced at least one incident of condom breakage. In response to these incidents, the majority, 139(78.5%), resorted to washing their genital area, whereas only 6(3.5%) used emergency contraception.
Awareness of female condoms was notably low, with just 35(16.7%) of respondents reporting knowledge of them. Only one participant had attempted to use a female condom but discontinued due to a partner’s unwillingness to cooperate.
Use of alternative contraceptive methods was variable. Oral contraceptive pills were used by 62(29.5%) of participants, 41(19.5%) had undergone sterilization, 20(9.5%) used intrauterine contraceptive devices (IUCDs), 17(8.1%) reported using emergency contraception, and 2(1.0%) used injectable contraceptives (Table 3).
The study revealed that more than one-quarter (60; 28.6%) of participants reported having undergone an abortion after entering the sex trade, with induced abortions accounting for the majority, 42(20.0%). Furthermore, 94(44.8%) of respondents reported experiencing at least one STI or RTI in the past year.
Multivariate logistic regression analysis identified several significant predictors of inconsistent condom use among FSWs. Participants with a higher daily income (>₹2000) had more than twice the odds of inconsistent condom use compared to those earning less (AOR = 2.22; 95% CI: 1.12-4.40). A self-reported history of sexually transmitted or reproductive tract infections (STDs/RTIs) was also significantly associated with inconsistent condom use (AOR = 1.93; 95% CI: 1.08-3.45). Furthermore, participants who reported experiences of condom breakage had significantly higher odds of inconsistent use (AOR = 2.49; 95% CI: 1.10-5.64).
The overall model demonstrated a Nagelkerke R² value of 0.13, indicating that 13% of the variance in inconsistent condom use was explained by the included variables. The model also demonstrated good fit, as indicated by the Hosmer-Lemeshow goodness-of-fit test (p = 0.797) (Table 4).
Multivariate logistic regression analysis identified several significant predictors of having undergone an induced abortion among female sex workers. Participants who reported cohabiting with a partner had markedly higher odds of abortion compared to those without a cohabiting partner (AOR = 7.14; 95% CI: 2.11-24.12). Being engaged in sex work for 3.5 years or more was also significantly associated with increased odds of abortion (AOR = 2.09; 95% CI: 1.03-4.26). Interestingly, participants who engaged in sexual activity without the influence of alcohol showed significantly greater likelihood of having had an abortion (AOR = 3.03; 95% CI: 1.25-7.31).
The model explained 16% of the variance (Nagelkerke R² = 0.16) and had a good fit (Hosmer-Lemeshow p = 0.736) (Table 5).
Discussion
This study provides valuable insights into the reproductive and sexual health behaviors of brothel-based FSWs in Matia Bazar, Basirhat, highlighting key determinants of irregular condom use and abortion. The findings reveal significant behavioral patterns and risk factors underscoring the contextual nuances of this population.
Despite universal condom use with clients, only 25 (18.8%) of respondents reported consistent condom use with live-in partners. Trust was the most frequently cited reason for non-use, mirroring findings from multiple Indian studies. Like the studies conducted in Kolkata and Mumbai, emotional bonding and trust often override risk perceptions in non-commercial relationships [14,15]. In Kolkata’s Sonagachi red-light area, similar dynamics were observed, where FSWs perceived condom use with regular partners as a sign of distrust, impacting negotiation [14].
In the present study, higher daily income, a history of STDs/RTIs, and prior condom breakage were independently associated with irregular condom use. Previous research found a correlation between higher income and inconsistent condom use-possibly due to better-paying clients influencing FSWs to compromise on safety. This study observed that FSWs with higher income may prioritize client preferences or perceive reduced personal risk [16,17]. Supporting evidence from Kolkata indicated that FSWs with financial independence were less strict in condom negotiations, particularly with regular clients [18]. Likewise, research in Karnataka suggested that economic empowerment without risk perception education might lead to complacency in condom use [19].
A history of STIs or RTIs has also been associated with inconsistent condom use and was found to predict future irregular use in studies from Andhra Pradesh and Maharashtra [20,21]. These studies suggested that FSWs with prior STDs were more prone to high-risk behaviors due to structural vulnerabilities, low empowerment, and inadequate risk perception.
Condom breakage, another significant determinant, undermines confidence in condom efficacy. A study in Bangalore found that breakages were often due to incorrect usage and insufficient demonstrations, leading to reduced trust and future use [22].
The study findings underscore the need for reproductive health services that address the specific challenges faced by FSWs in cohabiting relationships and with long-term occupational exposure. Although Durbar-affiliated NGO clinics operate in the area with a focus on STI and HIV services, they lack the capacity to manage abortion care and general health issues such as acute or chronic illnesses. Consequently, many FSWs rely on local private providers or distant government facilities, where they frequently encounter stigma, discrimination, and breaches of confidentiality. Fear of exposure often compels them to conceal their occupation or use false identities, leading to delayed or inadequate care. Strengthening NGO clinic capacity, integrating non-stigmatizing abortion services, and sensitizing local government providers are essential. Mobile health units, peer-led referral support, and formal linkages between NGO and public health systems can enhance accessibility and reduce unsafe abortions in this underserved population.
In the current study, abortion was significantly associated with cohabiting partnerships, longer duration in sex work (≥3.5 years), and engagement in sex without alcohol use. As noted in prior multi-site Indian studies, cohabitation with intimate or non-paying partners has been linked to lower condom use and higher rates of unintended pregnancies and abortions [20]. Similarly, Fehrenbacher et al. reported that cohabiting FSWs often face greater difficulty negotiating contraception with non-paying partners [16].
Longer involvement in sex work (≥3.5 years) may indicate increased exposure to occupational risks and decreased access to comprehensive reproductive health services. Fehrenbacher et al. also found that FSWs working for longer durations had higher rates of pregnancy and abortion, likely due to repeated exposure and shifting dynamics in condom negotiation [16]. Additionally, older FSWs may experience declining client demand, leading to riskier engagements and diminished control over contraceptive use [4].
Interestingly, this study found a positive association between abortion and engaging in sex without alcohol, a result that appears counterintuitive. However, FSWs who abstain from alcohol during sex may be more likely to be in stable, non-commercial relationships with lower condom use and hence higher pregnancy risk. Supporting evidence from southern India found significantly lower condom use with non-paying partners compared to clients due to trust and emotional intimacy [22].
The Nagelkerke R² values for the regression models were modest (13-16%). This is not uncommon in behavioral and reproductive health research, especially when dealing with complex, multi-level factors among marginalized populations like FSWs. Many unmeasured psychosocial, economic, and contextual variables, such as stigma, coercion, access barriers, or prior trauma, may influence abortion decisions but were beyond the scope of this study. Despite the low R², the significant associations identified still offer valuable insights and generate hypotheses for further research.
These findings call for tailored reproductive health services addressing the specific needs of FSWs in cohabiting relationships and those with prolonged occupational exposure. Dual protection counselling, better access to modern contraception, and non-stigmatizing abortion services are crucial to mitigate unintended pregnancies and unsafe abortions in this vulnerable population.
This study has limitations. Its cross-sectional design restricts causal inference between associated factors and outcomes like abortion or irregular condom use. Self-reported data may suffer from recall or social desirability bias. The geographic limitation to brothel-based FSWs in one rural area reduces generalizability. A small sample size may have limited the statistical power to detect some associations. Moreover, critical structural factors such as healthcare access and legal context were not explored, though they likely influence reproductive outcomes
Conclusions
This study highlights important factors associated with irregular condom use and abortion among brothel-based FSWs in a rural setting. Higher income, history of STDs/RTIs, and condom breakage increase the risk of inconsistent condom use, while cohabitation, longer duration in sex work, and sex without alcohol are linked to higher abortion rates. These findings emphasize the need for tailored reproductive health interventions that address the unique challenges faced by FSWs, particularly in managing stable partnerships and occupational risks. Strengthening access to comprehensive contraceptive options, counselling on dual protection, and destigmatizing abortion services are essential to improve reproductive health outcomes in this vulnerable population.
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