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Prognostic factors of time to first abortion after sexual debut among fragile state Congolese women: a survival analysis

BMC Public Health volume 21, Article number: 525 (2021) Cite this article

Abstract

Background

Despite the common restrictive abortion laws, abortion remains widespread in sub-Saharan Africa (SSA) countries. Women still utilize abortion services and put their lives and health at risk because abortion can only be procured illegally in private facilities such as mid-level or small patent medicine store that may be manned by unskilled providers or through a non-medicated approach. The objective of this study was to investigate the prevalence of abortion, the reasons women had abortions, median years to first abortion after sexual debut and examine the factors of time to first abortion among women of reproductive age in the Republic of Congo.

Methods

We used data from the most recent Republic of Congo Demographic and Health Survey (DHS). A total sample of 3622 women aged 15–49 years was analyzed. We estimated the overall prevalence of abortion and median years to first abortion. Furthermore, we examined the factors of time to first abortion after sexual debut using multivariable Cox regression and reported the estimates using adjusted Hazard Ratio (aHR) and 95% confidence intervals (CI). Statistical significance was determined at p < 0.05.

Results

The prevalence of abortion was 60.0% and median years of time to first abortion after sexual debut was 9.0. The prominent reasons for abortion were due to too short birth interval (23.8%), lack of money (21.0%) and that husband/partner did not need a child at that time (14.0%). Women’s age and region were notable factors in timing to first abortion. Furthermore, women from poorer, middle, richer and richest households had 34, 67, 86 and 94% higher risk of abortion respectively, when compared with women from poorest households (all p < 0.05). Women currently in union/living with a man and formerly in union had 41 and 29% reduction in the risk of abortion respectively, when compared with those never in union (all p < 0.05). In addition, women with primary and secondary+ education had 42 and 76% higher risk of abortion respectively, when compared with women with no formal education (all p < 0.05).

Conclusion

There was high prevalence of abortion with short years at first abortion. Abortion was associated with women’s characteristics. There is need for unwanted pregnancy prevention intervention and the improvement in pregnancy care to reduce adverse pregnancy outcomes among women.

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Background

The global maternal mortality ratio (MMR) reduced to 216 in 2015 from 385 deaths per 100,000 livebirths in 1990 [1]. The regional MMRs for 2015 ranged from 12 to 546 deaths per 100,000 livebirths for high-income regions and SSA respectively meaning that a high pregnancy-related death occurred in SSA [1]. Abortion is a known cause of maternal death [2]. It may be either safe or results in complications and death [3]. Abortion becomes unsafe when it is illegal and people cannot access safe services. Unsafe abortion accounts for over 60,000 maternal deaths annually [4], and causes disabilities in about 5 million women due to complications [5]. About 8% of maternal deaths was reported to be due to abortion and among those deaths, complications from unsafe abortion are one of the most common and easily preventable and curable causes [2, 6]. However, when performed by a trained provider in a legal setting, abortion is very safe. Reducing maternal mortality is a global health priority in the Sustainable Development Goals (SDGs) framework [7] and the global strategy for women and children’s health [8]. The objectives of global strategy include to end preventable deaths, ensure health and well-being and expand enabling environments.

Unintended pregnancies remain a major issue to be addressed in any abortion intervention. The higher unmet need for family planning remains, the more prevalent abortion becomes [9, 10]. Contraceptive use will in no small measure help vulnerable women to prevent the adverse effects of unsafe abortion, specifically in the instances of sexual violence, incest, child marriage and where having a pregnancy would endanger the life of a woman [11]. Unintended pregnancy has a substantial clinical, public and social health concerns, as it commonly leads to induced abortion and complications due to poor abortion services in many poor-resource countries [12]. The World Health Organization (WHO) reported that of the estimated 210 million pregnancies that occur annually, about 38% are unplanned and approximately 22% are terminated [13]. Over 200 million women in poor-resource settings would like to delay their next pregnancy or stop child birth altogether, unfortunately the majority of them still rely on less effective contraceptive methods [10].

Abortion is prohibited in many SSA countries in all circumstances including Gabon, Guinea-Bissau, Madagascar, Republic of Congo and Senegal [14, 15]. However, in some countries laws prohibit unlawful abortion but do not clearly specify what makes abortion lawful; The Gambia, Sierra Leone amongst others [15]. Albeit, the legal prohibition of induced abortion has not deterred women from terminating unwanted pregnancies [16]. The risk of criminal sanctions, has obliged them to do so without adequate medical care resulting in complications or death in some instances. Since the symptoms of spontaneous pregnancies termination renders a woman with early pregnancy distress suspicious of indulging in incomplete induced abortion, thereby susceptible to interrogations and mistreatment by medical personnel, women with spontaneous abortion would avoid seeking certain medical abortion services. Due to the restrictive abortion laws or cost for service, adolescent girls would commonly use plants with abortive properties as a strategy to abort a pregnancy secretly and at no cost, while even older women also rely on such methods to terminate unwanted pregnancies [17, 18].

The Republic of Congo has progressively improved in human development index (HDI). Congo’s HDI value for 2018 was 0.608 which put the country in the medium human development category - positioning it at 138 out of 189 countries and territories. Between 1990 and 2018, Congo’s HDI value increased from 0.531 to 0.608, an increase of 14.5% [19]. The 2018 female HDI value for Congo was 0.591 in contrast with 0.635 for males, resulting in a Gender Development Index (GDI) value of 0.931, placing it into Group 3 [19]. Poor gender power relations is attributable to inequities across most African countries including the Republic of Congo, resulting to women’s inability to make the decision of having a safe abortion [20, 21]. The Republic of Congo is on the WHO list of high burden countries for various health problems [22]. The issue of abortion is very critical because in the Republic of Congo, approximately 50% of maternal deaths occurs mainly in the intrapartum period [23]. This can be attributed as to why women would opt for abortion when they consider the magnitude of the risk of death during that period. This explains the high prevalence of pregnancy termination in the Republic of Congo (38.8%) [9].

In other SSA countries, the prevalence of pregnancy termination ranged from 7.5% in Benin to 39.5% in Gabon with an average of 16.5% [9]. In studies conducted among young women in African most populous country, up to half or more have terminated pregnancy, still the majority of them are against the legalization of abortion and rarely use contraceptive methods [24, 25]. Women are often unable to seek proper medical care in the advent of unintended pregnancies due to the fact that their culture and religion also prohibit abortion, yet widely practiced because of the stigmatization associated with an unwanted pregnancy in the community [26]. Although women make efforts to prevent unintended pregnancy, contraceptive failure contributes to a substantial proportion of unintended pregnancy [27]. Except for the modern contraceptive methods, many other available methods have low efficacy [27]. In light of the above, we aimed to investigate the prevalence of abortion, the reasons women had abortions, median years to first abortion after sexual debut and examine the factors of time to first abortion among women of reproductive age in the Republic of Congo.

Methods

Data sources

A cross-sectional data extracted from the Republic of Congo DHS 2012 was analyzed. A nationally representative sample of 3622 women who have had sex and aged 15–49 years were included in this study. On the other hand, the exclusion criterion was women with history of sexual abstinence. This was to ensure that only women exposed to pregnancy occurrence were analyzed. DHS data was collected through a stratified multistage cluster sampling technique. The procedure for stratification approach divides the population into groups by geographical region and commonly crossed by place of residence – urban vs. rural. A multi-level stratification approach is used to divide the population into first-level strata and to subdivide the first-level strata into second-level strata, and so on. DHS data is available in the public domain and accessed at; http://dhsprogram.com/data/available-datasets.cfm.

DHS has been conducted in over 85 countries and repeated every years since 1984. A major advantage is that the sampling design and data collection approach are similar across countries which makes the results of different settings comparable. Though from the onset, DHS was designed to expand on fertility, demographic and family planning data collected in the World Fertility Surveys and Contraceptive Prevalence Surveys, nonetheless, it has become the prominent source of population surveillance for the monitoring of population health indices particularly in resource-constrained settings. DHS elicits information from respondents in a wide range of health-related areas including vaccination, child and maternal mortality, fertility, intimate partner violence, female genital mutilation, nutrition, lifestyle, infectious and non-infectious diseases, family planning, water and sanitation amongst others. DHS has great merits in collecting high-quality data through proper interviewer training, national coverage, standardized data collection instrument and proper operational definition of concepts to enhance understanding among policy and decision makers. DHS data is useful in formulating epidemiological research to estimate prevalence, trends and inequalities. The details of DHS has been reported previously [28].

Operational definition of variables

Outcome variable

The main outcome variable in this study was “abortion” also known as induced pregnancy termination. It was derived from the question; “Number of abortions” and responses were coded as “no” if a woman reported “0” indicating no history of abortion, and coded as “yes” if a woman reported “1”, “2”, “3”, “4” and so forth indicating history of abortion. In addition, the time to first abortion after sexual debut was also utilized. It was derived from the question; “Age at first abortion”. The difference in years between age at first abortion and “Age at first sex” was used as the time to first abortion. The main reason for abortion was derived from the question; “Main reason for putting an end to this pregnancy?” in the DHS individual woman dataset.

Explanatory variables

The factors examined in this study are based on previous studies related to abortion and presented in Table 1 below [9, 11, 30,31,32].

Table 1 Categories and operational definition of independent variables
Full size table

Ethical consideration

We used publicly available data in this study. Since the data was not collected by the authors of this manuscript, we sought permission from MEASURE DHS/ICF International and access to the data was provided after our intent for the request was assessed and approved. MEASURE DHS Program is consistent with the standards for ensuring the protection of respondents’ privacy. ICF International ensures that the survey complies with the U.S. Department of Health and Human Services regulations for the respect of human subjects. No further approval was required for this study. More details about data and ethical standards are available at http://goo.gl/ny8T6X.

Analytical approach

The survey (‘svy’) module was used to adjust for stratification, clustering and sampling weights to compute the estimates of abortion. To check multicollinearity, variance-inflation factor was employed and a value below 10 was considered acceptable [33, 34]. Consequently, no variable was excluded from the model as they were not found to be interdependent. We use percentage, Kaplan-Meier and Cox regression models to account for censoring in the estimation of exposure time to abortion [35, 36]. Statistical significance was determined at p < 0.05. Stata Version 14 (StataCorp., College Station, TX, USA) was used for data analysis.

Results

Summary statistics across women’s characteristics

Results from Table 2 showed an abortion prevalence of 60.0% and 9.0 years of median time to first abortion after sexual debut. Based on the results, women aged 15–19 years (63.3%), 20–24 years (67.8%) and 25–29 years (68.6%) had the highest history of abortion respectively. Women from Niari (79.0%) and Pointe-Neoire (76.3%) geographical region had the highest prevalence of abortion. Furthermore, the urban women (75.1%), women from the richest household (78.3%), insured (68.3%), never in union (77.5%), exposed to the media (66.7%), secondary/higher education (67.0%), had history of contraceptive use (63.1%), having 1–3 children (65.3%), below 20 years at first birth (62.6%), below 18 years at sexual debut (62.2%) and having 5+ total lifetime number of sex partners (67.8%) had the leading prevalence of abortion respectively. See Table 2 for the details.

Table 2 Distribution of abortion by women’s characteristics (n = 3622)
Full size table

Main reason for abortion

Figure 1 showed that the prominent reason for putting an end to pregnancy was due to too short birth interval (23.8%). Another major reason was due to lack of money (21.0%). Other reasons were that husband/partner did not need a child at that time it came (14.0%), to keep schooling (8.5%), health problems (8.4%), fear of parents (5.9%), many children (4.7%), too young to have a child (4.7%) respectively.

Fig. 1
figure 1

Main reason for putting an end to pregnancy

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Kaplan Meier plot for median time to first abortion after sexual debut

The results from Figs. 2, 3, 4, 5 and 6 showed that women aged 15–19 years and 20–24 years had the least median years to first abortion (Fig. 2). In addition, women of urban residence (Fig. 3), richest household (Fig. 4), never in union (Fig. 5), secondary+ education (Fig. 6) had the minimum median years to first abortion respectively.

Fig. 2
figure 2

Kaplan-Meier failure estimates of time to first abortion by age

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Fig. 3
figure 3

Kaplan-Meier failure estimates of time to first abortion by residence

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Fig. 4
figure 4

Kaplan-Meier failure estimates of time to first abortion by household wealth quintiles

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Fig. 5
figure 5

Kaplan-Meier failure estimates of time to first abortion by marital status

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Fig. 6
figure 6

Kaplan-Meier failure estimates of time to first abortion by education

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Figures 7, 8, 9, 10, 11, 12, 13, 14, 15 and 16 in Appendix showed the Kaplan-Meier failure estimates of time to first abortion by; region (Figure 7 in Appendix), health insurance coverage (Figure 8 in Appendix), media use (Figure 9 in Appendix), religion (Figure 10 in Appendix), history of contraceptive use (Figure 11 in Appendix), parity (Figure 12 in Appendix), age at first birth (Figure 13 in Appendix), age at first marriage/union (Figure 14 in Appendix), age at sexual debut (Figure 15 in Appendix) and the number of life time sexual partners (Figure 16 in Appendix) respectively.

Prognostic factors of the time to first abortion

Table 3 showed the prognostic factors associated with time to first abortion among Congolese women of reproductive age. The risk of abortion after sexual debut was lower in the adjusted model among older women, when compared with young women aged 15–19 years. The geographical region was a significant determinant of abortion among Congolese women. Women from poorer, middle, richer and richest households had 34% (aHR = 1.34; 95%CI: 1.17, 1.53), 67% (aHR = 1.67; 95%CI: 1.40, 2.01), 86% (aHR = 1.86; 95%CI: 1.53–2.25) and 94% (aHR = 1.94; 95%CI: 1.57, 2.39) higher risk of abortion respectively, when compared with women from poorest households. In addition, women currently in union/living with a man and formerly in union had 41% (aHR = 0.59; 95%CI: 0.47, 0.75) and 29% (aHR = 0.71; 95%CI: 0.55, 0.91) lower risk of abortion respectively, when compared with women never in union. Furthermore, women with primary and secondary+ education had 42% (aHR = 1.42; 95%CI: 1.11, 1.81) and 76% (aHR = 1.76; 95%CI: 1.37, 2.25) higher risk of abortion respectively, when compared with women with no formal education. Women who have ever used anything or tried to delay or avoid getting pregnant had 37% (aHR = 1.37; 95%CI: 1.21, 1.54) higher risk of abortion, when compared with women who had never used any pregnancy prevention method. Those who had their first birth before age 20 years, had 32% (aHR = 1.32; 95%CI: 1.05, 1.65) higher risk of abortion, when compared with women with no child. Women having 3–4 and 5+ total lifetime number of sex partners had 28% (aHR = 1.28; 95%CI: 1.11, 1.47) and 49% (aHR = 1.49; 95%CI: 1.30, 1.72) higher risk of abortion respectively, when compared with women who had 1–2 total lifetime number of sex partners.

Table 3 Factors associated with the time to first abortion after sexual debut
Full size table

Discussion

This is the foremost study in the Republic of Congo to explore the prevalence of abortion, median years to abortion after sexual debut and the prognostic factors of time to first abortion. The findings showed that about 60% of women had history of abortion. This is higher than 38.8% previously reported from the country [9] and pooled prevalence for Africa (3.9%) [37]. Similarly, higher than the prevalence of abortion in Nigeria (11%) [11], Mozambique (9%) and Ghana (25%) [30], Benin (7.5%), Gabon (39.5%) and Democratic Republic of Congo (18.5%) [9] respectively. Notably, there were differences between this study’s findings and a previous report in the Congo, being from the same data set such as the prevalence of abortion (23%) [38]. This difference could be due to the sub-sample of the original data set extracted for this study. While we expected the prevalence of abortion to be lower in this population given gender power imbalances that typically reduce women’s ability to make autonomous reproductive health decisions, we actually observed a very high prevalence of abortion. This might be because of secondary education as more women had at least secondary education. Educational attainment will aid a woman to identify pregnancy-related danger signs and what to do with it. In a previous study, education was identified as a key factor to explain not only an induced abortion decision but also having a repeated or a second trimester induced abortion [39]. Another reason could be that women do not have much reproductive decision-making autonomy and, therefore, might not be able to negotiate contraceptive use [40]. In turn, there are unintended pregnancies that women must terminate through abortion particularly due to very young age or when the partner is not able to take responsibility [41].

Pregnancy termination is one of the key issues that require urgent attention to achieve the third SDG of ensuring healthy lives and promoting wellbeing for all at all ages [7]. The reproductive health decision-making capacity of women plays a key role in their reproductive health outcomes, including pregnancy termination. Unsafe abortion is unavoidable in a society where laws, culture, religion amongst others prohibit the practice thereby leading to restrictions on access to safe and legal abortion [5].

There are numerous reasons why women undertake abortion. In line with the findings of this study, women gave reasons such as wrong timing, which encompassed a sense of not being ready for motherhood and the desire not to disrupt education, work, or life plans and because of health problems as also reported from a previous study [42]. Other reasons for seeking abortion-related to life circumstances, including cost, readiness, not wanting any more children, marital issues or relationship instability, and being too young in line with results from a previous study [43]. In addition, being too young to be a mother is an aspect of being unready for motherhood. This is consistent with the findings from previous studies [43, 44]. Prominently, husband/partner not needing a child contributed to reasons for abortion in our study. This could be either by his absence or because the relationship was troubled, unstable, too new, or not being in a relationship at all, the partner’s immaturity, his unreliability, his reluctance to be a father, the women’s reluctance to have him as her baby’s father, his unfaithfulness, drinking, physical abuse, and problems with paternity (such as the partner’s denial of paternity or pregnancy to someone other than the partner). Furthermore, women’s financial problems and very short preceding birth interval were part of the major reasons that contributed to women’s sense that they would be unable to care adequately for a child and that abortion was the most responsible action to take unfortunately. These findings are similar to report from a previous study which stated the most frequently cited reasons for having an abortion in most countries were socioeconomic concerns or limiting childbearing [45].

Overall, the median years between sexual debut and first abortion was 9.0. However, there were differences in years between sexual debut and first abortion across women’s characteristics. For example, the adolescent women (15–19 years) and those aged 20–24 years had the lowest median years to first abortion respectively, when compared with older women. This finding is consistent with the results of a previous study [46]. In that study, the difference between age at first intercourse and age at onset of first pregnancy was 1.3 years among adolescents compared to 4.8 years for older women. Also, the study confirmed that young women were more at risk of an unwanted pregnancy soon after menarche [46]. It is common that societal, social, family and career pressure will make the young women to opt for abortion from unwanted pregnancy. Furthermore, women of high educational attainment and household wealth quintiles had lower median years between sexual debut and first abortion. As reported by the women, some reasons for abortion were to keep with schooling or working. Consequently, education and wealth will enhance the decision to opt for abortion in the advent of unwanted pregnancy.

In this study, the geographical region was a significant factor of first abortion. This could be due to regional differences in strength of health district officers and programs. It is possible that various districts have more resources and health care infrastructure than others, or perhaps different regions have different sociocultural norms around gender equality and reproduction. Reports from previous studies showed regional differences in the uptake and utilization of health care services [47,48,49,50,51]. In addition, older women and those who were married had a reduction in the risk of first abortion. Furthermore, women from higher households wealth quintiles, educated, those who had ever used anything or tried to delay or avoid getting pregnant, had their first birth before age 20 years and having higher total lifetime number of sex partners had higher risk of abortion among Congolese women. Although, there was no previous study identified anywhere in the world that examined the prognostic factors of time to first abortion, however, these findings are comparable with the results from previous studies that examined the factors associated with history of abortion [9, 11, 30,31,32]. Women of higher socioeconomic status will usually weigh the options on whether to keep a pregnancy or not, as such could have higher risk of first abortion. The pursuit of career such as schooling or working, can make a woman take a decision to terminate a pregnancy. On the other hand, women in high socioeconomic status would have the knowledge and economic empowerment to afford abortion services. In addition, women with high total lifetime number of sex partners are more likely to be sexually active over time, and if effective contraceptive method is not utilized, more unwanted pregnancies can occur which could lead to higher risk of abortion.

Conversely, our finding on older women having reduction in the risk of first abortion, was inconsistent with the result from previous studies where older women had increased odds of pregnancy termination history [9, 11, 30]. Notably, our outcome variable of time to first sex after sexual debut is somewhat different from the outcome variable (history of abortion) of the previous studies used for comparison. Based on our findings, it is correct to say that the older women would have more awareness of the methods to delay getting pregnant after sexual debut. Moreover, women who were married/living with partner would have less risk of first abortion because unlike the single women, the married counterparts are able to keep pregnancy for the need of the family. Furthermore, early childbearing especially beginning from adolescence would mean that a woman would have large number of children long before the menopause stage. The implication is that the woman may now resort to the use of contraceptive methods or terminating further pregnancies especially in the advent of economic hardship or limited resources. Consequently, such women will have higher risk of abortion. The risk of abortion was higher among women who ever used anything or tried to delay or avoid getting pregnant. The issue is prominently hinged on the type of contraceptive methods. Moreover, it is possible that contraceptive use was introduced to the women during post-abortion care service or as a lesson learned. Sexually active women who do not use modern contraceptive methods are more likely to have unwanted pregnancy and consequently have higher risk of abortion. This is consistent with the findings of a previous study where women who had unintended pregnancy were more likely to terminate pregnancy [11]. It is not sufficient to use any contraceptive methods, the emphasis should be using effective contraceptive methods.

Strengths and limitations

A major strength of this study was the use of nationally representative data and the findings are generalisable for the women of reproductive age. In addition, relevant variables were available in the datasets for the estimation of time to first abortion after sexual debut. Nonetheless, the study captured the life time experience of women on abortion, the occurrence of recall bias is very likely as highly multigravida women could have lost track of certain sexual and reproductive events, thereby leading to underestimation of abortion. Moreover, caution should be taken in using the high prevalence of abortion, as the number of women included in this study was only about one-thirds of the original sample size analyzed by DHS with less abortion prevalence.

Conclusion

We identified a high prevalence of abortion with short years interval between age at sexual debut and time at first abortion. Abortion was associated with several women’s characteristics. These findings underline the importance of the further implementation of pregnancy prevention strategies and the improvement of healthcare interventions to reduce adverse birth outcomes. We recommend extensive and multidisciplinary research to explore the possibilities and reasons for abortion among Congolese women despite the prohibitive laws. Though the Republic of Congo government has not legalised the practice of abortion, evidence suggests that it continues to be prevalent and that the government needs to take steps to make abortion safer for women. Besides, the government may want to provide legal ground for abortion when the pregnancy endangers the life of a woman, in the instance of sexual violence including incest. Moreover, increased efforts are also needed to prevent unintended pregnancy in its entirety and to reduce levels of unsafe abortion and its negative health, social and economic effects.

Availability of data and materials

Data for this study were sourced from Demographic and Health surveys (DHS) and available here: http://dhsprogram.com/data/available-datasets.cfm.

Abbreviations

CI:

Confidence Intervals

DHS:

Demographic and Health Survey

GDI:

Gender Development Index

HR:

Hazard Ratio

HDI:

Human Development Index

ICF:

Inner City Fund

MMR:

Maternal mortality ratio

SDGs:

Sustainable Development Goals

SSA:

Sub-Saharan Africa

TX:

Texas

US:

United States

WHO:

World Health Organization

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Acknowledgements

The authors appreciate the MEASURE DHS project for the approval and access to the original data.

Funding

This research received no grant from any funding agency in the public, commercial or not-for-profit sectors.

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Authors and Affiliations

  1. Department of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria

    Michael Ekholuenetale

  2. Department of Economics, Benin Study Center, National Open University of Nigeria, Benin City, Nigeria

    Charity Ehimwenma Ekholuenetale

  3. Department of Public and Environmental Health, School of Medicine and Allied Health Sciences, University of The Gambia, Kanifing, The Gambia

    Amadou Barrow

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Contributions

ME and AB conceived and designed the study, performed data analysis and wrote the results. CEE provided substantial inputs and ideas into all drafts of the paper. All authors read and approved the final version of the manuscript.

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Correspondence to Amadou Barrow.

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Demographic and Health Survey is a de-identified open-source dataset. Therefore, the requirement of consent for publication is not applicable.

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Appendix

Appendix

Kaplan-Meier failure plots

Fig. 7
figure 7

Kaplan-Meier failure estimates of time to first abortion by region

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Fig. 8
figure 8

Kaplan-Meier failure estimates of time to first abortion by health insurance

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Fig. 9
figure 9

Kaplan-Meier failure estimates of time to first abortion by media use

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Fig. 10
figure 10

Kaplan-Meier failure estimates of time to first abortion by religion

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Fig. 11
figure 11

Kaplan-Meier failure estimates of time to first abortion by history of contraceptive use

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Fig. 12
figure 12

Kaplan-Meier failure estimates of time to first abortion by parity

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Fig. 13
figure 13

Kaplan-Meier failure estimates of time to first abortion by age at first birth

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Fig. 14
figure 14

Kaplan-Meier failure estimates of time to first abortion by age at first marriage/union

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Fig. 15
figure 15

Kaplan-Meier failure estimates of time to first abortion by age at sexual debut

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Fig. 16
figure 16

Kaplan-Meier failure estimates of time to first abortion by number of life time sexual partners

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Ekholuenetale, M., Ekholuenetale, C.E. & Barrow, A. Prognostic factors of time to first abortion after sexual debut among fragile state Congolese women: a survival analysis. BMC Public Health 21, 525 (2021). https://doi.org/10.1186/s12889-021-10599-x

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