Determinants of self-reported sexually transmitted infections among reproductive age women in Senegal: evidenced by Senegal demographic and health survey.

The Republic of Senegal, is the westernmost country in West Africa, situated on the Atlantic Ocean coastline. Senegal is located 14 degrees north of the equator and 14 degrees west of the Prime Meridian. Senegal is bordered by Mauritania to the north, Mali to the east, Guinea to the southeast and Guinea-Bissau to the southwest [ 17 ]. The National Agency for Statistics and Demography (ANSD), in collaboration with other relevant stakeholders and with technical support from ICF, conducted the 2023 Senegal demographic and health survey on behalf of the Government of Senegal. Data collection was carried out from January to August 2023 with a break of approximately two months, i.e., five-month collection period [ 18 ]. After permission was secured through an online request by explaining the aim of the study, the data for this analysis were obtained from the 2023 Senegal Demographic and Health Survey that were accessible at DHS portal of ( https://dhsprogram.com/data/dataset_admin/index.cfm ). The study population for this study was extracted from the IR (individual record) of the 2023 Senegal demographic and health survey. All reproductive age women (15–49) extracted from the IR file was included in this analysis. The data for this analysis were obtained from the 2023 Senegal Demographic and Health Survey that employed a community-based cross-sectional study design. The 2023 Senegal DHS sample was designed to ensure adequate representation at the national level but also at the level of urban and rural areas, as well as for the 14 regions of the country. This is an area survey, stratified and drawn in two stages. The primary sampling unit is also called a cluster. Each region was separated, partly urban and partly rural, to form the sampling strata, and the sample was drawn independently in each sampling stratum. In total, 28 sampling strata were created. In the first stage, 400 clusters were drawn with a probability proportional to their size, the size being the number of households residing in the cluster. At the second level, in each of the clusters selected at first stage, a fixed number of 22 households was selected with a systematic probability drawing equal, from the newly established lists at the time of enumeration. Among the 400-clusters selected, 186 are located in urban areas and 214 in rural areas. A total of 8,423 households have been selected to be included in the 2023 Senegal Demographic health survey. In the selected household; 17,459 reproductive age women were eligible for individual interviews; 16,583 women were interviewed, resulting in a 95% response rate (Figure  1 ) [ 18 ]. Fig. 1 demonstrated that the sampling process of Senegal women of reproductive age was presented diagrammatically [ 18 ] demonstrated that the sampling process of Senegal women of reproductive age was presented diagrammatically [ 18 ] The outcome variable for this study was self-reported sexually transmitted infections among women. It is a variable with a dichotomous outcome (no or yes). Women were asked whether they had a disease that had acquired through sexual contact in the past 12 months. If the women hadn’t sexually transmitted infections in the last twelve months, which was labeled as “no” and coded as “0,” and if the women had sexually transmitted infections in the last twelve months, which was labeled as “yes” and coded as “1,”. age of the women, region, place of residence, educational status, marital status, religion, sex of household head, combined wealth index, community wealth quantile, frequency of reading magazine, frequency of listening to radio, frequency of watching television, community media exposure, history of terminated pregnancy, number of living children, smoking cigarettes, and modern contraceptive use (Table  1 ). Table 1 The description of the independent variables Lists of variables Definitions/Categories Age group (ages of mother in year) The age of the mother was coded as 15–19, 20–24, 25–29, 30–34, 35–39, 40–44, and 45–49 in the IR file of the Senegal demographic and health survey. Place of residence Places of residence in the 2023 Senegal demographic and health survey were grouped as urban and rural. Region Region in the 2023 Senegal demographic and health survey were categorized in to 14 administrative regions. We used it as it is in our analysis. Religion Religion was grouped as Muslim, Christian, Animist, no religion, and other in the Senegal demographic and health survey. Depending on the number of participants from each religion, we were regrouped into Muslim and Others (Christian, Animist, no religion, and other). Educational status The level of education in the 2023 Senegal demographic and health survey categorized in two four groups such as attending no education, primary education, secondary, and higher education. Sex of household heads The sex of household heads was in categorized into male headed household and female headed household head. Wealth index The combined wealth index in the 2023 Senegal demographic and health survey were categorized into poorest, poorer, middle, richer and richest. So, we used in our analysis as it is. Frequency of reading to magazine; frequency of listening to radio; and frequency of watching television The frequency of reading to magazine; the frequency of listening to radio, and the frequency of watching television were categorized as in to four groups such as not at all, less than once a week, at least once a week and almost every day respectively in the 2023 Senegal demographic and health survey. History of terminated pregnancy Reproductive-age women who hadn’t had a had a history of terminated pregnancy were coded as “no, “and reproductive-age women who had a history of terminated pregnancy were coded as “yes” in the IR file of the 2023 Senegal demographic and health survey. Modern contraceptive use In the IR file of the 2023 Senegal demographic and health survey, it is coded as no method, folkloric method, traditional method, and modern method. We recategorized it into no or yes. modern method was coded as yes and (folkloric method, traditional method and no method) was coded as No. Community media exposure The frequency of listening to radio, the frequency of watching television, and the frequency of using the internet were coded as not at all, less than once a week, and at least once a week, respectively. We recategorized into “no” and “yes” respectively. Then; those participants who have no exposure to media at all (reading to magazines, watching television, and using the internet) were coded “no,” and those participants who have media exposure (reading to magazines, watching television, and using the internet) less than once a week, at least once a week and almost every day were coded “yes.” Women who had at least one or more media exposure from the three (reading to magazine; listing to radio, watching television) labeled as “Yes” and women who hadn’t at least one media exposure from the three (reading to magazine; listing to radio, watching television) was coded as “No”. Community wealth quantile Wealth index combined and wealth index for urban/rural have five categories’ such as poorest, poorer, middle, richer and richest. We recategorized it into three sub groups. i.e. “poorest and poorer” grouped as poor; middle grouped as it is and “richer and richest” grouped as rich. After that we were merging wealth index combined and wealth index for urban/rural; if participant were poor in both wealth index combined and wealth index for urban/rural the participants considered as poor; if the participant were middle in one of the two group considered as middle wealth quantile and if the participant were rich at least in one of the two the groups (wealth index combined and wealth index for urban/rural) considered as rich. Number of living children In the 2023 Senegal demographic and health survey; the number of children were represented by the numeric value. In this analysis we were regrouped in four group; no children; 1–2 children; 3–4 children and greater than or equal to five children. The description of the independent variables STATA version 14 was used for data extraction, recoding, descriptive analysis, and analytical analysis. We carried out weighting by dividing the total number of women in the entire country by the appropriate survey sampling proportion and the standard weights of the women. Bivariate analysis was employed to select the factors for multivariate analysis. In the multivariate analysis, variables with p  < 0.05 significance levels were significant predictors of sexually transmitted infection among reproductive-age women. Finally, the percentage and odd ratio were provided, together with their 95% confidence intervals. For this investigation, an ethical review and participant agreement were not required because the demographic and health survey program utilized secondary, easily accessible survey data. We requested permission from the DHS Program to use the data we obtained from their website, and they gave it to us.

In all, 16,583 women of reproductive age participated in this investigation. There were about 4,024 (24.27%) found between the age range of 15–19 years; 1,531 (9.23%) lived in Thiès region; 9,112 (54.95%) were rural residents; 7,673 (46.27%) did not attend formal education; 11,005 (66.36%) were married; 16,051 (96.79%) were Muslims. 12,155 (73.30%) were households headed by men; 3,900 (23.52%) were poorest in wealth; 14,605 (88.07%) didn’t read magazines at all; and 6,756 (40.74%) didn’t listen to the radio at all. 9,050 (54.57%) were watched on television at least once a week. 14,306 (86.27%) had community media exposure; 2,347 (14.15%) had a history of terminated pregnancy; 5,952 (35.89%) haven’t had children; 16,477 (99.55%) were non-smokers; and 2,722 (16.41%) used modern contraceptives (Table  2 ). The prevalence of sexually transmitted infection among women of reproductive age was 3.21% with a 95 CI. [2.95–3.49] in the last 12 months (Table  3 ). Table 2 Socio demographic characteristics of reproductive age women in Senegal 2023 Characteristics ( n  = 16,583) Categories Had any STIs Frequency Percentage No Yes Age group 15–19 4,006 18 4,024 24.27 20–24 3,142 99 3,241 19.54 25–29 2,313 107 2,420 14.59 30–34 2,034 109 2,143 12.92 35–39 2,024 95 2,119 12.78 40–44 1,464 73 1,537 9.27 45–49 1,067 32 1,099 6.63 Region Dakar 1,352 61 1,413 8.52 Ziguinchor 785 22 807 4.87 Diourbel 1,226 56 1,282 7.73 Saint-Louis 1,107 48 1,155 6.96 Tambacounda 1,185 26 1,211 7.30 Kaolack 1,058 59 1,117 6.74 Thiès 1,412 119 1,531 9.23 Louga 1,233 19 1,252 7.55 Fatick 1,265 15 1,280 7.72 Kolda 1,018 9 1,027 6.19 Matam 1,253 32 1,285 7.75 Kaffrine 1,216 41 1,257 7.58 Kedougou 856 11 867 5.23 Sedhiou 1,084 15 1,099 6.63 Place of residence Urban 7,184 287 7,471 45.05 Rural 8,866 246 9,112 54.95 Educational status No education 7,446 227 7,673 46.27 Primary 3,127 124 3,251 19.60 Secondary 4,927 147 5,074 30.60 Higher 550 35 585 3.53 Marital status Married 10,522 483 11,005 66.36 Never in union 4,738 15 4,753 28.66 Others 790 35 825 4.97 Religion Muslim 15,528 523 16,051 96.79 Other 522 10 532 3.21 Sex of house hold head Male 11,767 388 12,155 73.30 Female 4,283 145 4,428 26.70 Wealth index Poorest 3,834 66 3,900 23.52 Poorer 3,503 97 3,600 21.71 Middle 3,538 132 3,670 22.13 Richer 2,852 119 2,971 17.92 Richest 2,323 119 2,442 14.73 Community wealth quantile Poor 5,073 100 5,173 31.19 Middle 3,772 119 3,891 23.46 Rich 7,205 314 7,519 45.34 Reading newspaper Not at all 14,153 452 14,605 88.07 Less than once a week 1,256 58 1,314 7.92 At least once a week 641 23 664 4.00 Listening to radio Not at all 6,578 178 6,756 40.74 Less than once a week 4,888 206 5,094 30.72 At least once a week 4,584 149 4,733 28.54 Watching television Not at all 3,976 70 4,046 24.40 Less than once a week 3,346 141 3,487 21.03 At least once a week 8,728 322 9,050 54.57 History terminated pregnancy No 13,836 400 14,236 85.85 Yes 2,214 133 2,347 14.15 Number of living children No children 5,883 69 5,952 35.89 1–2 children 4,042 216 4,258 25.68 3–4 children 3,105 149 3,254 19.62 Greater than or equal to five children 3,020 99 3,119 18.81 Modern contraceptive use No 13,479 382 13,861 83.59 Yes 2,571 151 2,722 16.41 Smokes cigarettes No 15,947 530 16,477 99.55 Yes 103 3 106 0.45 Socio demographic characteristics of reproductive age women in Senegal 2023 Table 3 Prevalence’s of sexual transmitted infection among reproductive age women in Senegal 2023 Characteristics ( n  = 16,583) Categories Frequency Percentage [95%Conf.Interval] Had sexual transmitted infection No 16,050 96.79 [96.50-97.04] Yes 533 3.21 [2.95–3.49] Prevalence’s of sexual transmitted infection among reproductive age women in Senegal 2023 The results of the bivariable analysis showed that among women, sexually transmitted infections were statistically and significantly associated with age of the women, region, place of residence, educational status, marital status, wealth index, frequency of listening to radio, frequency of watching television, community media exposure, history of terminated pregnancy, number of living children, and modern contraceptive use. Those variables were considered for the multivariate analysis. The results of the multivariate analysis demonstrated that sexually transmitted infections were statistically and significantly associated with the age of the women, region, educational status, marital status, and history of terminated pregnancy. The finding from this study shows that the odds of sexually transmitted infections between the age range of 20 and 44 years old were more likely compared to women whose ages were between 15- and 19-years old’s. The odds of sexually transmitted infections among women who lived in Louga [AOR: 0.41, 95% CI (0.23,0.69); P  = 0.001]; Fatick [AOR: 0.33, 95% CI (0.18,0.61); P  = 0.0001]; in Kolda [AOR: 0.23, 95% CI (0.11,0.49); P  = 0.0001]; in Kedougou [AOR: 0.34, 95% CI (0.17,0.68); P  = 0.002]; and Sedhiou [AOR: 0.43, 95% CI (0.23,0.79); P  = 0.007] were less likely relative to women who were living in Dakar region. Sexually transmitted infections among women who were attending higher education were 2.70 times more likely [AOR: 2.70, 95% CI (1.74, 4.19); P  = 0.0001] relative to women who weren’t attending formal education. Sexually transmitted infections among the women who were never in union were 0.09 times less likely [AOR: 0.09, 95% CI (0.046, 0.17); P  = 0.001] compared to the others (living with partner, divorced, widowed, and separated). The odds of sexually transmitted infections among women who had a history terminated pregnancy were 1.27 times more likely [AOR: 1.27, 95% CI (1.03, 1.58); P  = 0.023] compared to their counterparts (Table  4 ). Table 4 Factors associated with sexual transmitted infection among reproductive age women in Senegal 2023 Characteristics ( n  = 16,583) Categories Had any STIs COR with 95% CI and P-value AOR with 95% CI and P-value No Yes Age group 15–19 4,006 18 1 1 20–24 3,142 99 7.01(4.23,11.61);0.0001 2.67(1.57,4.52);0.0001 25–29 2,313 107 10.29(6.23, 17.00);0.0001 2.97(1.74,5.07);0.0001 30–34 2,034 109 11.92(7.22, 19.69);0.0001 3.28(1.92,5.63);0.0001 35–39 2,024 95 10.44(6.29, 17.33);0.0001 2.98(1.73,5.14);0.0001 40–44 1,464 73 11.09(6.60,18.65);0.0001 3.13(1.79, 5.49);0.0001 45–49 1,067 32 6.67(3.73,11.93);0.0001 1.75(0.96,3.32);0.067 Region Dakar 1,352 61 1 1 Ziguinchor 785 22 0.62(0.37, 1.01);0.060 0.73(0.43,1.01);0.246 Diourbel 1,226 56 1.01(0.69,1.46);0.948 1.26(0.84,1.91);0.258 Saint-Louis 1,107 48 0.96(0.65,1.41);0.840 1.12(0.74,1.69);0.582 Tambacounda 1,185 26 0.48(0.30,0.77);0.002 0.64(0.39,1.07);0.095 Kaolack 1,058 59 1.24(0.85,1.78);0.258 1.41(0.95,2.11);0.087 Thiès 1,412 119 1.86(1.35 2.56);0.0001 2.22(1.58,3.11);0.0001 Louga 1,233 19 0.34(0.20, 0.57);0.0001 0.41(0.23,0.69);0.001 Fatick 1,265 15 0.26(0.14,0.46);0.0001 0.33(0.18,0.61);0.0001 Kolda 1,018 9 0.19(0.09,0.39);0.0001 0.23(0.11,0.49);0.0001 Matam 1,253 32 0.56(0.36,0.87);0.010 0.77(0.48,1.24);0.296 Kaffrine 1,216 41 0.74(0.49, 1.11);0.157 0.94(0.59,1.49);0.796 Kedougou 856 11 0.69(0.14,0.54);0.0001 0.34(0.17,0.68);0.002 Sedhiou 1,084 15 0.30(0.17,0.54);0.0001 0.43(0.23,0.79);0.007 Place of residence Urban 7,184 287 1.43(1.21,1.71);0.0001 1.01(0.75,1.33);0.968 Rural 8,866 246 1 1 Educational status No education 7,446 227 1 1 Primary 3,127 124 1.30(1.04,1.62);0.021 1.47(1.15,1.87);0.002 Secondary 4,927 147 0.98(0.79,1.20);0.841 1.81(1.39,2.36);0.0001 Higher 550 35 2.08(1.44,3.01);0.0001 2.70(1.74,4.19);0.0001 Marital status Married 10,522 483 1.03(0.72,1.47); 0.843 1.27(0.88,1.83);0.186 Never in union 4,738 15 0.07(0.03,0.13);0.0001 0.09(0.046,0.17);0.0001 Others 790 35 1 Religion Muslim 15,528 523 1.75(0.93,3.30);0.080 Other 522 10 1 Sex of house hold head Male 11,767 388 1 Female 4,283 145 1.03(0.84,1.24);0.790 Wealth index Poorest 3,834 66 1 1 Poorer 3,503 97 1.60(1.17,2.20);0.003 1.42(0.90,2.23);0.128 Middle 3,538 132 2.16(1.60,2.92);0.0001 1.85(0.98,3.47);0.056 Richer 2,852 119 2.42(1.78,3.28);0.0001 1.84(0.85,3.98);0.119 Richest 2,323 119 2.97(2.19,4.03);0.0001 1.99(0.90,4.39);0.088 Reading newspaper Not at all 14,153 452 1 1 Less than once a week 1,256 58 1.44(1.09,1.91);0.010 1.11(0.81,1.53);0.497 At least once a week 641 23 1.12(0.73,1.72);0.592 1.09(0.67,1.75);0.716 Listening to radio Not at all 6,578 178 1 1 Less than once a week 4,888 206 1.55(1.27,1.90);0.0001 1.14(0.90,1.44);0.247 At least once a week 4,584 149 1.20(0.96,1.49); 0.104 0.84(0.65,1.08);0.195 Watching television Not at all 3,976 70 1 1 Less than once a week 3,346 141 2.39(1.23,1.59);0.0001 1.50(1.00,2.26);0.048 At least once a week 8,728 322 2.09(1.61,2.72);0.0001 1.16(0.77,1.74);0.472 Community media exposure No 2,242 35 1 1 Yes 13,808 498 1.97(1.70, 2.27);0.0001 1.06(0.63,1.80);0.801 History terminated pregnancy No 13,836 400 1 1 Yes 2,214 133 1.87(1.69,2.08);0.0001 1.27(1.03,1.58);0.023 Number of living children No children 5,883 69 1 1 1–2 children 4,042 216 4.55(3.46,5.99);0.0001 1.27(0.91,1.74);0.153 3–4 children 3,105 149 4.09(3.06,5.46);0.0001 1.07(0.74,1.55);0.691 Greater than or equal to five children 3,020 99 2.79(2.04,3.81);0.0001 0.86(0.56,1.31);0.503 Modern contraceptive use No 13,479 382 1 1 Yes 2,571 151 2.07(1.70,2.51);0.0001 2.07(0.93,1.42);0.181 Smoking cigarettes No 15,947 530 1 1 Yes 103 3 0.87(0.27,2.77);0.822 0.85(0.26,2.81);0.803 COR = crudes odds ratio, AOR = adjusted odds ratio; CI-confidence interval; Others (living with partner, divorced, widowed and separated) Factors associated with sexual transmitted infection among reproductive age women in Senegal 2023 COR = crudes odds ratio, AOR = adjusted odds ratio; CI-confidence interval; Others (living with partner, divorced, widowed and separated)

Women’s sexually transmitted infection has been associated with sociodemographic and geographic determinants such as the age of the woman, region, educational status, marital status and history terminated pregnancy. Therefore, to prevents sexually transmitted infections among women, the governments of Senegal and other concerned stakeholders should give special attention to women by addressing sociodemographic and geographic determinants. The DHS has a similar design, with identical variables in a different environment; the result may, therefore, be applicable to other similar locations. The study used a sufficiently large sample size at the national level to ensure its representativeness. Recall bias is one of the potential drawbacks, especially for retrospective data based on past experiences. The magnitude of the bias is often unknown and correcting for the bias is difficult. Since, this study was cross sectional study.it doesn’t showed temporal relationships between independent and dependent variable. Finally, due to the sensitivity of the issue and the nature of the data collections method is self-report that might contribute to the low prevalence’s of STIs among women Sengal. The DHS has a similar design, with identical variables in a different environment; the result may, therefore, be applicable to other similar locations. The study used a sufficiently large sample size at the national level to ensure its representativeness. Recall bias is one of the potential drawbacks, especially for retrospective data based on past experiences. The magnitude of the bias is often unknown and correcting for the bias is difficult. Since, this study was cross sectional study.it doesn’t showed temporal relationships between independent and dependent variable. Finally, due to the sensitivity of the issue and the nature of the data collections method is self-report that might contribute to the low prevalence’s of STIs among women Sengal.

In the last 12 months, the prevalence of sexually transmitted infection among women was 3.21%, with a 95 CI [2.95–3.49]. This finding was higher than study which was conducted in Hong Kong (2.5%) [ 19 ]. This finding was lower than studies which were conducted in Gambia (53.6%) [ 20 ], in Morocco (38.6%) [ 21 ], in Mali (14.1%) [ 22 ], in Kenya (13%) [ 23 ], and in Brazil (36.5%) [ 24 ]. The possible reasons for this variation could be the difference in the study period, method of estimation, sample size, socioeconomic, sociocultural, and geographic location of the study area. The finding from this study shows that the odds of sexually transmitted infections between the age range of 20 and 44 years old were more likely compared to women whose ages were between 15- and 19-years old’s. This finding was opposed by the studies which were conducted in Swaziland [ 25 ], in Dubai [ 26 ], in Brazil [ 27 ] and in Malawi [ 28 ]. This could be further explained by reasons that young women’s are sexually active and engaged in unprotective or unsafe sexual activity that prone them to STIs; some young people do not get the recommended STI tests; and many young people are hesitant to talk openly and honestly with a doctor or nurse about their sex lives [ 29 ]. Sexually transmitted infections among women who lived in Louga, Fatick, Kolda, Kedougou, and Sedhiou were less likely relative to women who were living in the Dakar region. This might be due to the variations in health care’s facilities, health-seeking behaviors, access to media, socioeconomic, sociocultural, knowledge, attitude, and practice towards risky sexual behaviors across the regions, which contribute to the regional differences in STIs in Senegal. Furthermore, Dakar, the smallest and most populated region of Senegal, encompasses the country’s capital city and may have had a higher prevalence of STIs due to the high number of migrant women, commercial sex workers, construction workers, and long-distance truck drivers that increase the risk of engagements in the risky sexual behaviors. Sexually transmitted infections among women who were attending higher education were more likely relative to women who weren’t attending formal education. This finding was in line with studies which were conducted in Ethiopia [ 30 ] and in Malawi [ 28 ]. This might be more explained by the study that has reported a positive relationship between education and the spread of STIs and HIV/AIDS [ 31 ] suggesting that an increase in the level of education increases the likelihood of STIs and HIV/AIDS infections. This view indicated that an increased education level improved the wealth index of people, and the migration of women from the rural to the urban area to live better life, which increases the risk of engagements in sex with multiple partners. Additionally, other studies have revealed that adolescents get involved in sex while still at school [ 32 , 33 ]. This finding was opposed by the studies which were conducted in Dutch [ 34 ], in Indonesia [ 35 ], in Durban [ 36 ], in sub-Saharan Africa [ 37 ], in Swaziland [ 25 ] and in Tanzania [ 38 ]. This might be that education, in many respects, increases knowledge of STIs and HIV/AIDS that helps to mitigate the spread of STIs [ 39 , 40 ]. It also prevents new infections because knowledgeable persons can make informed decisions about their sexual life. Sexually transmitted infections among the women who were never in union were less compared to the others (divorced, widowed, and separated). It could be the case that being divorced, widowed, and separated is linked to feelings of loneliness and relationship dissatisfaction. So, divorced, widowed, and separated people engaged in risky sexual behavior (unsafe sex) to cope with negative feelings associated with social isolation or disconnection, which has been identified as a major risk for STIs. Sexually transmitted infections among women who had a history terminated pregnancy were more likely compared to their counterparts. This finding was in line with the studies that were conducted in Ethiopia [ 41 ], in China [ 42 ], in Ethiopia [ 43 , 44 ], and in Shandong province of China [ 45 ]. The scientific explanation for this could be that having a history of abortions makes women very susceptible to sexually transmitted infections. When an unsafe abortion does occur, it may be performed by unskilled or traditional practitioners without adherence to aseptic techniques, further facilitating the transmission of STIs [ 46 , 47 ]. Furthermore, this might be due to the fact that those women who had a history of termination of pregnancy would have better access to reproductive health care services, sexual health services, and a better understanding of the symptoms of STIs, which prevents underreporting and underscreening of STIs and contributes to high detection rates of STIs among women who had a history of terminated pregnancy.

Globally, access to sexual and reproductive health (SRH) is a significant public health issue for women of the reproductive age group [ 1 ]. Sexually transmitted infections (STIs) are an important public health challenge worldwide, with an estimated 357 million new cases of four curable STIs (chlamydia, gonorrhea, trichomoniasis, and syphilis) among 15–49 year old’s, 417 million cases of herpes simplex type 2 (HSV2), and 291 million cases of human papillomavirus (HPV) among women each year [ 2 ]. In sub-Saharan Africa (SSA), the incidence of STI was estimated at 63 million per year, making it one of the most affected areas in the world, sharing an estimated 40% of the global STI burden [ 2 , 3 ]. Women often have more serious health problems from STIs than men; including pelvic inflammatory disease, ectopic pregnancy, postpartum endometriosis, infertility, and chronic abdominal pain in women; adverse pregnancy outcomes, including abortion, intrauterine death, and premature delivery; neonatal and infant infections and blindness [ 4 ]. In 2018, new infections totaled nearly $16 billion in direct lifetime medical costs. While medical costs alone are significant, the overall cost of STIs is higher when factoring in costs associated with maternal transmission, STI prevention, lost productivity, or other non-medical costs [ 5 ]. Several studies in Senegal demonstrated that sexually transmitted infections among women were associated with sociodemographic factors such as age groups, marital status, place of residence, education status, religion, and media exposures [ 6 – 11 ]. Although, there are several studies that were done in Senegal related to STI among reproductive age women in different settings [ 12 – 16 ]. Up to our knowledge, there is no studies that were done in this particular topic at national Level. So, the major objective of this research was to evaluate the prevalence’s and determinant of self-reported sexually transmitted infections among reproductive-age women in Senegal at national level. Furthermore, policymakers and other stakeholders can use this finding as a foundation to create and implement appropriate intervention programs aimed at reducing the incidences of sexually transmitted infections among women.