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Prevalence of child marriage and its impact on fertility outcomes in 34 sub-Saharan African countries



The issue of child marriage is a form of human rights violation among young women mainly in resource-constrained countries. Over the past decades, child marriage has gained attention as a threat to women’s health and autonomy. This study explores the prevalence of child marriage among women aged 20–24 years in sub-Saharan Africa countries and examines the association between child marriage and fertility outcomes.


Latest DHS data from 34 sub-Saharan African countries were used in this study. Sixty thousand two hundred and fifteen women aged 20–24 years were included from the surveys conducted 2008–2017. The outcome variables were childbirth within the first year of marriage (early fertility), first preceding birth interval less than 24 months (rapid repeat of childbirth), unintended pregnancy, lifetime pregnancy termination, the use of modern contraceptive methods, lifetime fertility and any childbirth. The main explanatory variable was child marriage (< 18 years) and the associations between child marriage and fertility outcomes were examined from the ever-married subsample to estimate odds ratios (ORs) and 95% CIs using binary logistic regression models.


In the study population, the overall prevalence of women who experience child marriage was 54.0% while results showed large disparities across sub-Saharan African countries ranging from 16.5 to 81.7%. The prominent countries in child marriage were; Niger (81.7%), Chad (77.9%), Guinea (72.8%), Mali (69.0%) and Nigeria (64.0%). Furthermore, women who experience child marriage were 8.00 times as likely to have ≥3 number of children ever born (lifetime fertility), compared to women married at ≥18 years (OR = 8.00; 95%CI: 7.52, 8.46). Women who experience child marriage were 1.13 times as likely to use modern contraceptive methods, compared to adult marriage women (OR = 1.13; 95%CI: 1.09, 1.19). Those who married before the legal age were 1.27 times as likely to have lifetime terminated pregnancy, compared to women married at ≥18 years (OR = 1.27; 95%CI: 1.20, 1.34). Also women married at < 18 years were more likely to experience childbirth, compared to women married later (OR = 5.83; 95%CI: 5.45, 6.24). However, women married at < 18 years had a reduction in early childbirth and a rapid repeat of childbirth respectively.


Implementing policies and programmmes against child marriage would help to prevent adverse outcomes among women in sub-Saharan Africa. Also, social change programmes on child-marriage would help to reduce child marriage, encourage the use of modern contraceptive, which would minimize lifetime terminated pregnancy and also children ever born.

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Child marriage is a global issue that cuts across countries, cultures and religions. The phenomenon has been experienced by a large number of women globally [1]. In spite of the widespread efforts to end child marriage, about one-third of the girls in low- and middle-income countries will most likely be married before age 18 due to attained progress levels which are not sustained in many countries and less than 10% of girls will get married before they attain 15 years of age [2, 3]. In resource-constrained settings, the prevalence of child marriage is alarming. More than 67 million women aged 20–24 years were married as adolescents by 2010, with 20% of them from Africa. The indication was that 14.2 million adolescents, who are less than 18 years had been married off annually; making almost 39,000 young women married on a daily basis [2]. This will increase to about 15.1 million girls per year, beginning from 2021 to 2030 [2], should the current trend be allowed to persist. Child marriage is rooted in communities’ socio-cultural practices and is an act of human rights violation [2, 4, 5]. To attain Sustainable Development Goal 5 in Africa, there is much to be done to reduce the prevalence of child marriage, especially in sub-Saharan Africa.

Child brides are prone to domestic violence and are less likely to participate in family decision making due to immaturity and lower socioeconomic status [6,7,8]. One of the major problems with child marriage is the pressure to raise children while they are still children themselves and have limited knowledge about sexual and reproductive life. Research evidence indicates that child marriages are associated with many adverse reproductive outcomes such stillbirth, miscarriage, stunting, underweight, unwanted pregnancies, and abortion [9]. Childhood pregnancy put both the mother and her baby at high risk of adverse reproductive outcomes [2, 10].

More so, complications in pregnancy and delivery are prominent determinants of morbidity (obstetric fistula, HIV/AIDS) and mortality among young women in low- and middle-income countries [2, 9, 11]. International agreements to protect the rights of young women in child marriage include the 1989 United Nations Convention on the Rights of the Child (CRC) [4] and the 1990 African Charter on the Rights and Welfare of the Child (ACRWC) [5]. Also the Programme of Action adopted by the International Conference on Population and Development (ICPD) in 1994 has as part of its activities the protection of young women in child marriage [12]. Article 16(2) of the Convention on the Elimination of all Forms of Discrimination Against Women (CEDAW) states that “women should have the same right as men to freely choose a spouse and to enter into marriage only with their free and full consent” and that the “betrothal and marriage of a child shall have no legal effect [2]. In 2010, about 158 countries confirmed that 18 years was the minimum legal age for marriage. However, in 146 countries, state or customary law allows girls younger than 18 to marry with the consent of parents or other authorities; while in 52 countries, girls under age 15 can marry with parental consent [2]. In 2014, almost all African Union member countries signed some of these laws which emphasise that the minimum age for marriage is 18 [13].

Overall, the political will to implement marriage laws varies substantially across sub-Saharan African countries. Whereas about 90% of the countries in sub-Saharan Africa region (37 out of 41 countries) have legislated a minimum marriage age of 18 years for women, however, one-third of them permit marriage below age 18 years with parental consent, hence creating a compromise for parents to marry off their daughters before they attain adult age [14]. Unfortunately, marriage laws in several sub-Saharan Africa countries have provisions that allow children to marry in certain circumstances such as under customary law or if they become pregnant irrespective of their age. The incoherence in the legal proscriptions is challenging because child marriage is a long term practice which is culturally acceptable as a rightful approach to protecting young women from premarital sex and the consequences of unintended pregnancy and sexually transmitted infections [15].

Several factors promote child marriage, including incentives to marry out young women to lessen the economic burden on disadvantaged households [16]. Furthermore, the needs to reinforce social ties and protect daughters from sexual adversity as well as the believe of some parents that they can improve their social status by marrying off their daughters to a well-off family [17, 18], are among the leading factors promoting child marriage. Moreover, women’s educational attainment, wealth status, religious belief, and place of residence are associated with child marriage [19, 20]. Elsewhere, the practice of child marriage was found to be most prevalent among young women who live in disadvantaged households, lack school education, and dwell in rural residence [21]. Emerging evidence also reveals that drivers of child marriage are complex especially if it is viewed from the perception of those impacted. Not all girl child marriages are arranged; many girl brides may be interested in the relationship. Also, low investment on girls’ education, social norms, sexual relations, unplanned pregnancy, incomplete education, poverty and unemployment among girls have been identified as factors promoting child marriage [22,23,24]. Despite efforts, policies and intervention programmes put in place by many countries in sub-Saharan Africa, child marriage remains an issue of grave concern.

The problems associated with child marriage led to the post-2015 Sustainable Development Goal-3 (SDG-3) targeted to help many countries attain landmark progress towards ensuring healthy lives and promoting the well-being for all at all ages [25]. The SDG-3 is vital because child marriage denies young women the privilege of developing their potentials as productive and healthy individuals [26]. It also entrenches young women in poverty and limits their life choices [2, 27]. In spite of the problem of child marriage and its health, reproductive and social outcomes, the issue has not been explored adequately, and the dearth of literature on it may hinder effective efforts, policies and intervention pragrammes especially in sub-Saharan African countries. Studies have revealed that reproductive health programmes targeting youth may not reach those who are mostly at risk [9]. This stresses the need for more research on women who experience child marriage. This study aims to examine the influence of child marriage on reproductive outcomes using DHS datasets from 34 countries.


Data source

This study utilised pooled data from the latest Demographic and Health Surveys (DHS) conducted between 2008 and 2017 across 34 sub-Saharan Africa countries. Demographic and Health Surveys (DHS) are comparable nationally representative household surveys that have been conducted in more than 85 countries worldwide since 1984. The DHS were initially designed to expand on demographic, fertility and family planning data collected in the World Fertility Surveys and Contraceptive Prevalence Surveys, and continue to provide an important resource for the monitoring of vital statistics and population health indicators in low- and middle-income countries. The DHS collects a wide range of objective and self-reported data with a strong focus on indicators of fertility, reproductive health, maternal and child health, mortality, nutrition, and self-reported health behaviours among adults [28]. In this profile, the study presents an overview of the DHS, along with an introduction to the potential scope for these data in contributing to the micro and macro epidemiology fields [29]. DHS datasets are available for researchers through DHS at See Table 1 for details of survey countries.

Table 1 Distribution of data among women aged 20–24 years in sub-Saharan Africa countries (n = 60,215)

Measurement of variables

Outcome v0061riables

  1. 1.

    Early fertility: This was measured by childbirth within the first year of marriage using the question about the age at first birth; women who had the first baby within the first year were classified as early, not having childbirth in the first year of marriage, was classified as not early [9]. The association between early fertility and age at first marriage would be of interest.

  2. 2.

    Rapid repeat of childbirth: This was measured by whether the first preceding birth interval was less or more/equal to 24 months. The preceding birth interval is calculated as the difference in months between the current birth and the previous birth, counting twins as one birth. Birth interval of less than 24 months has implications for the health of the mother and the child. Closely-spaced and higher-order births pose a greater risk of infant and child mortality [30]. Psychosocial, educational, medical, and financial outcomes are some of the consequences of rapid repeat birth [31].

  3. 3.

    Unintended pregnancy: This was measured by whether a woman ever had an unintended pregnancy by asking whether she wanted the child at birth, wanted the child later or had not wanted any more children. Participants who wanted the child later or had not wanted anymore children were classified as having an unintended pregnancy. Unintended pregnancies have serious adverse health and economic consequences for the child and mother because they are not wanted or wanted later. It is estimated that half of the pregnancies among 15–19 girls in developing countries are not wanted or wanted later [32].

  4. 4.

    Lifetime pregnancy termination: This was assessed by a question in which participants responded yes or no to if a pregnancy had ever resulted in miscarriage, abortion, or stillbirth. Consequent upon the fact that frequent deaths occur among adolescent mothers due to complications during pregnancies and childbirths [33, 34]. About 3.9 million girls between the ages of 15 to 19 engaged in unsafe abortion every year [32]. Also, evidence revealed the relationship between child marriage and stunting, underweight, miscarriage, and stillbirth [6, 9].

  5. 5.

    Modern contraception: It was assessed with a question about forms of modern contraception such as hormonal methods, barrier methods, and female sterilisation and so forth to identify if a woman had ever used a modern contraceptive method or not. The use of contraceptives can prevent early pregnancies and adverse reproductive consequences [35]. In developing countries, 23 million girls between the ages 15 to 19 experience unmet needs for modern family planning methods [32]. If these needs are met among the adolescents at risk, it could prevent 2.1 million, 3.2 million and 5600 unplanned births, abortions, and maternal deaths, respectively every year [32]. High fertility is risky not for the health of children and mother, but also affects capital investment, economic growth and is a treat to environmental sustainability.

  6. 6.

    Lifetime fertility: The total number of births during the lifetime was measured. Participants were classed as having high fertility if they had ≥3 childbirths, which was the mean value for the variable. As the population of adolescents increases globally, it is projected that by 2030, there will be an increase in adolescent pregnancies with a large percent of it coming from Africa [36].

  7. 7.

    Any childbirth: This was measured using “total children ever born”; where those who reported at least 1 were categorised as Yes, and 0 was categorised as No. High maternal mortality is associated with higher parities and older and younger ages [30].

Explanatory variable

The explanatory variable was the age at first marriage. The variable was classified as child marriage when the respondent was < 18 years at marriage [1] and adult marriage when the woman was ≥18 years. The study considered women aged 20–24 only as evident from studies conducted on child marriage [9]. This enhances and affords comparison with similar studies. This way, women below age 18 will not be considered, and biases due to selective survival and forward displacement of age at first marriage would be minimized [37].. In addition, it minimises the possibility of errors due to recall which may occur as ages get farther away from 24. Married women in this study are referred to as ever-married, legally married or those living with their husbands in a consensual union.


This section provides a profile of the background characteristics of respondents. The analysis of these background characteristics provides the socio-economic context within which the age at marriage, fertility, and fertility-control issues are examined.

  1. 1.

    Age: 20–24 years; The study considered women aged 20–24 as evident from studies conducted on child marriage. Age group 20–24 is a typical age group for the study of child marriage [9, 37, 38];

  2. 2.

    Religion: Every participant’s religious affiliation was measured by one of the following: Christianity, Islam and other religious groups;

  3. 3.

    Place of residence: This was measured by whether a woman resided in the urban area or rural area;

  4. 4.

    Maternal education: This was measured by a question in which each participant responded to one of the following: no education, primary, secondary and tertiary;

  5. 5.

    Sex of household head: This referred to the gender of the household head measured as Male vs Female;

  6. 6.

    Currently working: This was measured with whether the participant was working (i.e., Yes) or not (i.e., No);

  7. 7.

    Read newspaper/magazine: This was measured by a question in which participants responded yes or no. [39];

  8. 8.

    Listen to the radio: This was assessed by a question in which participants responded yes or no [39];

  9. 9.

    Watching TV: This was measured by a question in which participants responded yes or no [39];

  10. 10.

    Wealth Index: DHS include questions about household characteristics and possessions such as materials used for house roof, walls and floors; source of water such as open well, stream, or piped system; presence of durable possessions such as radio, fan, automobile, electricity, television, refrigerator, cooking fuel, furniture; and other attributes related to economic status. Using this information of various indicators, household wealth can be constructed [25]. In this study, economic status is measured by computing a ‘wealth index’ using principal component analysis. The factor loadings and z-scores were calculated. For each household, the indicator values were multiplied by the loadings and summed to produce the household’s wealth index value. The standardized z-score was used to disentangle the overall assigned scores to poorest, poorer, middle, richer, richest.

Ethical consideration

This study used publicly available data. The ethical procedures for data collection were the responsibility of the institutions that commissioned, funded, or managed the surveys. All DHS are approved by ICF International and Institutional Review Board to ensure that the protocols comply with the U.S. Department of Health and Human Services regulations for the protection of human subjects. Therefore, this study did not require further ethical approval.

Analytical procedure

We calculated sampling weights to account for stratification and clustering in the sample design. Individual to standard DHS question was managed and analysed. Tests of multicollinearity were done. The study did not violate the multicollinearity assumption with a tolerance value of not less than 0.10. In addition, the correlation between each of the independent variables is less than 0.7. Distribution of respondents’ marital status by socio-demographic characteristics was examined. This is in line with the evidence from the literature [9, 40]. The associations between child marriage and fertility outcomes were examined from the ever-married subsample to estimate odds ratios (ORs) and 95% CIs using the binary logistic regression models to calculate the unadjusted models and those adjusting for demographic characteristics (age, place of residence, religion, level of education, sex of household head, wealth index, working status, read newspaper, listen to radio, watch TV). A significant level of 5% was used in this study. STATA version 14 (STATACorp, College Station, TX) was used for data analysis.


This section presents socio-demographic characteristics of the respondents - the sample of women aged 20–24 (Never married women included). The results showed about a quarter (26.6%) and one-fifth (20.5%) of women reported ages 20 and 22 years, respectively. While those who reported each of the other ages (21, 23 and 24) were less than one-fifth of the total respondents. About one-third of the study population lived in rural areas (59.8%), and Christianity was reported as the dominant religion (67.0%) among the sampled countries in sub-Saharan Africa. Women with higher education were only 5.6% in this study, while 25.7% of the women had no formal education, 30.9 had primary education, and 37.7% had secondary education. Women from male head households were 73.7% women from the poorest and poorer household categories constituted the same percentage each (18.6%). Women in the richest category constituted 24.1% of the sampled population. More than half (52.0%) of the women indicated were currently working. Women who read newspaper or magazine were only one-quarter of the total women while more than one-third (63.1%) claimed they listened to the radio. Respondents who indicated they watched television were almost half (46.3%) of the total sampled population. See Table 2 for details.

Table 2 Distribution of women’s age at marriage by demographic characteristics (n = 89,188)

An examination of child marriage by the age of women revealed that age 20 had the highest (40.5%) child marriage, followed by age 22 (37.9%), age 24 (36.2%), age 23 (35.1%) and age 21(33.2%). Child marriage was more pronounced among respondents in the rural areas (45.3%) compared to urban areas (24.6%) [41] and also among Muslims (48.6%) and other religious adherents (47.1%) compared to Christians (30.5%). The percentage distribution of child marriage by educational attainment followed a negative pattern - the higher the educational attainment, the lower the percentage of child marriage. The highest incidence of child marriage was among the respondents with no formal education (61.7%), while the lowest was found among respondents with higher education (4.1%). The percentage distribution of child marriage by wealth status followed the same pattern. The higher the wealth status, the lower the percentage of child marriage. Child marriage reported in the poorest household category constituted 52.9% of the sampled population, while those in the richest household category constituted 19.2% [23, 38, 39, 42]. Overall, distribution of child marriage according to the sex of the household heads revealed a higher incidence of child marriage among households headed by male (41.2%) compared to those headed by a female (25.0%). More than one-third of respondents who indicated they were currently working (39.7%) and those who indicated otherwise (34.6%) reported child marriage. Among the women who listen to the radio (63.1%), about 31.4% had child marriage, while those who do not listen to the radio had higher child marriage (46.5%). Only 25.1% of the women who watch TV reported child marriage, while 47.2% of those who do not watch TV experienced child marriage. Overall, media users had a reduction in child marriage, compared to non-users. See Table 2 for details.

Results on the prevalence of child marriage showed large disparities across sub-Saharan African countries between 16.5 to 81.7%. The prominent countries in child marriage were; Niger (81.7%), Chad (77.9%), Guinea (72.8%), Mali (69.0%), Nigeria (64.0%). However, Rwanda reported 16.5%, Lesotho had 29.3%, and Namibia showed 31.3%. Details of women’s age at marriage below 18 years are presented in Fig. 1.

Fig. 1
figure 1

Prevalence of child marriage (< 18 years) across Sub-Saharan Africa countries

Based on the results, about 56.1% of child marriage had a child in the first year of marriage; for adult marriage, approximately 78.3% gave birth in the first year. More so, about 28.0% of child marriage had childbirth < 24 months of first preceding birth interval. Approximately 34% of child marriage had at least 3 children, compared to 7.2% of adult marriage with the high number of children ever born. Whereas, 20.4% of child marriage had used modern contraceptive methods, compared to about 26% of adult marriage that reported lifetime modern contraceptive methods use. Results showed that 22.3 and 11.6% of child marriage had lifetime unintended and terminated pregnancies, respectively. Further, about 95.6% of child marriage had childbirth. See details in Table 3.

Table 3 Distribution of women’s age at marriage by fertility and fertility-control outcomes

The women who experienced child marriage showed 85% reduction in the odds of childbirth in the first year of marriage, compared to those of adult marriage after adjusting for other covariates (OR = 0.15; 95%CI: 0.14, 0.17). Women of child marriage had 14% reduction in childbirth < 24 months of first preceding birth interval, compared to women who married at ≥18 after adjusting for other covariates (OR = 0.25; 95%CI: 0.23, 0.28). Further, women of child marriage were 17.00 times as likely to have ≥3 number of children ever born (lifetime fertility), compared to women who married at ≥18 after controlling for other confounders (OR = 17.00; 95%CI: 15.31, 19.13). Child marriage women were 1.154 times as likely to use modern contraceptive methods, compared to adult married women after controlling for other confounders (OR = 1.54; 95%CI: 1.40, 1.69). Women of child marriage were 1.53 times as likely to have lifetime terminated pregnancy, compared to women who married at ≥18 after adjusting for other covariates (OR = 1.53; 95%CI: 1.33, 1.75). See details in Table 4.

Table 4 Association between child marriage, fertility and fertility-control outcomes

Adjusted for age, place of residence, religion, education, sex of household head, wealth index, working status, read newspaper/magazine, listen to the radio, watch TV.


This study extensively explored the prevalence of child marriage (marriage at less than 18 years) and its association with fertility and fertility outcomes throughout sub-Saharan Africa countries. The findings revealed an unacceptably high and disproportionate prevalence of child marriage across several sub-Saharan Africa countries [38]; Niger, Chad, Guinea, Mali, Nigeria, Sierra Leone, Burkina Faso, and Liberia were among the leading countries with child marriage. In contrast, each of these countries, Rwanda, Lesotho, and Namibia, had below one-third of their women who were married as children. These findings suggest large disparities in the age at marriage across countries [38], implying that many countries still allowed marriage at very young ages (< 18 years) which could mainly be orchestrated by socio-cultural factors.

Our study showed that about half of sub-Saharan African women aged 20–24 years from rural residence, religious beliefs other than Christianity, less educated, disadvantaged households or those who do not read newspaper or magazine, listen to the radio or watch television were married before the legal age of 18 years and most-at-risk or vulnerable to the practice. These findings are consistent with several reports of previous studies conducted in low- and middle-income countries [37, 41]. It is commonly reported that age at marriage increases with higher socio-economic conditions [43]. This study corroborated findings from other studies that low education, rural residence, low wealth status, disadvantaged households are factors responsible for early child marriage [16,17,18,19,20,21]. High levels of child marriage persist across several sub-Saharan African countries despite legislative efforts to prevent the practice. It is surprising that though the laws represent a crucial precedence for the protection of human rights and have lasted for decades; our findings suggest that they are inadequate to end the practice. Unfortunately, neither the recent progress in economic and women’s development, nor existing policy or programmatic efforts seems to prevent child marriage in the region [2, 4, 12, 13, 44].

Findings on the association between child marriage, fertility and fertility outcomes showed that women of child marriage had reduced odds in childbirth in the first year of marriage and childbirth less than 24 months first preceding birth interval in comparison to the reference groups. The reduction in the odds of childbirth in the first year of marriage among women of child marriage could be partly attributed to physical and biological immaturity. This may have a great adverse effect on their health and social development. Child marriage has been associated with an increased incidence of poor health [38]. Childbrides are exposed and forced to engage in marital issues, chores, and to take up adult responsibility they have not really prepared to undertake and are not matured enough to undertake. Immaturity of childbrides socially, psychologically, and physiologically may lead to adverse reproductive outcomes. Our understanding is that higher contraceptive prevalence rate leads to lower rates of unintended pregnancy, which is in theory preventive of higher fertility. Nonetheless, it doesn’t account for fertility preference as some women may use modern contraceptive and still desire high parity. In light of these observations, we recommend that policy instruments be developed to correct ‘fertility behaviour’ as an integral part of the strategies to increase the average age of marriage. Previous studies from low- and middle-income countries showed that married adolescent women have higher lifetime fertility, increased use of modern contraceptive methods, more terminated pregnancies, and childbirth than their adult counterparts [41]. High fertility and abortion are inimical to sound sexual and reproductive health of women. Child marriage put women at increased risk of pregnancy complications and maternal mortality. Complications due to childbirths and pregnancies are part of the leading factors in maternal mortality among women aged 15–19 and 20–24 in the world [38, 45, 46]. It has both long and short term consequences most especially in sub- Saharan African countries where there are/ is a high level of poverty, poor/inadequate health facilities (also antenatal and postnatal facilities), low prevalence of contraceptive use, sexual and reproductive education. Negative consequences of child marriage include poor health, low birth weight, premature births and nutritional deficiencies [47].

Increase in the use of modern contraceptive among women married at a young age could be attributed to attainment of the desired number of children at an earlier age, as evident by their high fertility. The results are in line with previous studies that reported an association between child marriage and women’s health or fertility outcomes [9, 10, 26, 41, 48,49,50]. More so, media use, education, and economic levels were also significant covariates of child marriage infertility outcomes among sub-Saharan Africa women. Mass media can help to educate and address norms, values, social pressure, attitude, and behavior, encouraging the practice of child marriage. Efficient and effective communication can go a long way to reduce the incidence of child marriage.

Strength and limitation

This study utilised multi-country data coverage with high response rates which can be generalised to other age-groups or country contexts. DHS use standard data collection procedures to ensure reliability, and that survey estimates accurately represent the health situations. In addition, DHS used multistage probabilistic sampling methodology to select clusters and households from geographic-based sampling frames that cover the entire territory of participating countries, a design that translates into naturally occurring population hierarchies. However, this study was based on self-reported data which is subject to recall bias and social desirability [51, 52]; for example, there might be errors in reporting respondents’ age at marriage due to the fact that registration of age system is not documented. In addition, the variable for pregnancy termination did not differentiate between miscarriages and abortion and thus blur the true association that exists between the forms of pregnancy termination and child marriage. Also, the study is limited in its discussion about country differences. Additionally, there was about a nine-year gap in the collection of the data from various countries, and DHS data are cross-sectional, and causality cannot be examined. Finally, we did not consider trichotomizing the exposure variable to < 15, 15–17 and 18 to test for differences by early and very early marital ages. That being said, within policy arena, the focus is usually on zero tolerance on child marriage and not differentiating nor attaching ranking or importance to any form early child marriage, such as labeling early versus very early.


This study showed that child marriage remains highly prevalent in many sub-Saharan Africa countries. Improved family-planning interventions geared towards married adolescents would help a great deal to tackle the occurrence of child marriage and its outcomes. Prominent factors of child marriage such as poverty and lack of education should be addressed to promote personal development among the girl-child to prevent early marriage and its adverse fertility outcomes. The findings of the study further suggest that health programmes for innovative interventions aimed at discouraging early marriage should be formulated to educate young girls about the negative outcomes of early motherhood.

Furthermore, modern contraceptive methods could help reduce child marriage, especially among women who enter marriage due to unwanted pregnancy. Overall, global consensus points to laws restricting the minimum marriage age at 18 years are essential, and considerable evidence has associated child marriage to adolescent sexual and reproductive health problems. Passing direct and unconditional laws against child marriage to arrest the socio-cultural forces that perpetuate it remains a fundamental approach in curbing the practice in sub-Saharan Africa. Moreover, social change programmes on child marriage, targeting unmarried young women should also be broadened to accommodate interventions for men who are pursing children for marriage.

Availability of data and materials

Data for this study were sourced from Demographic and Health surveys (DHS) and available here:



African Charter on the Rights and Welfare of the Child


Convention on the Ellevelimination of all Forms of Discrimination Against Women


Convention on the Rights of the Child


Demographic and Health Surveys


International Conference on Population and Development


Sustainable Development Goals


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The authors thank the MEASURE DHS project for their support and for free access to the original data.


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SY contributed to the study design, the review of literature, and analysis of literature, manuscript conceptualisation and preparation. GB and EKO critically reviewed the manuscript for its intellectual content and contributed to data analysis as well. SY had final responsibility to submit for publication. All authors read and approved the final manuscript.

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Correspondence to Sanni Yaya.

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Yaya, S., Odusina, E.K. & Bishwajit, G. Prevalence of child marriage and its impact on fertility outcomes in 34 sub-Saharan African countries. BMC Int Health Hum Rights 19, 33 (2019).

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