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Fertility preferences among couples in Nigeria: a cross sectional study

Abstract

Background

The persistently high and stalled total fertility in Sub-Saharan Africa, including in Nigeria, calls for new efforts towards fertility reduction. Most efforts on fertility desire in sub-Saharan Africa have focused either on individual men or women with little focus on couples as a unit of analysis. Moreover, the influences of different types of marriages in which couples reproduce have not been adequately explored. Therefore, this study examined fertility desires among couples in Nigeria.

Methods

This paper used data from the Nigeria Demographic and Health Survey (NDHS) of 2018 to assess fertility desire by marriage type among couples in Nigeria. In addition, the association between fertility desire and disparity in couples’ educational attainment, place of residence, region, religion, occupation, wealth status, children ever born and contraceptive use were considered. The participants consisted of 6813 couples aged between 15–49 years. Couples’ characteristics were reported using frequency and percentage distribution tables. Descriptive and logistic regression analyses were conducted.

Results

Overall, the study revealed that 73.8% of couples were in monogamous relationships while 26.2% were in polygynous relationships. The mean ideal number of children for men and women were 7.2 and 6.1, respectively. Also, 49.3% of the couples reported husbands desired more children, 43.9% claimed wives desired more children, while 6.8% indicated equal number of desired children among wives and husbands. The results of binary logistic regression showed that couples in polygynous relationships were 4.3 times as likely to desire more children, compared to couples in monogamous relationships (OR = 4.3; 95% CI: 3.5, 5.3). Couples in polygynous relationships wanted as many as four times the number of children desired by couples in monogamous relationships. Fertility desire was significantly higher among couples who indicated the following: either was using contraceptives (OR = 2.3; 95% CI: 1.6–3.4), both were not using contraceptives (OR = 2.8; 95% CI: 1.9, 4.1), lived in North East (OR = 2.0; 95% CI: 1.5, 2.6) and North West (OR = 1.7; 95% CI: 1.3, 2.3), both were not working (OR = 1.33, 95% CI; 1.1, 1.6) and were adherents of Islam (OR = 1.8; 95% CI; 1.5, 2.4).

Conclusion

These findings reflect the role of region, use of contraceptives, work status and religion in the fertility desire of couples. Implementing programmes and policies on sexual education and reproductive rights of couples and individuals may reduce high fertility desire and its adverse consequences, such as child and maternal morbidity and mortality in Nigeria.

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Plain English summary

The total fertility rate in West African countries remains high despite the development and implementation of several interventions. The literature identifies significant factors relating to fertility desires and subsequent population growth at individual, household and community levels. Nevertheless, the high and stalled total fertility rate of Nigeria at 5.3 calls for new approaches to affect fertility. Marital fertility constitutes a substantial part of total fertility in Nigeria. Previous studies mostly focused on the fertility desires of men and women. Motivated by an emerging interest in fertility intentions, the study examined fertility preferences among monogamous and polygynous couples in Nigeria. Data for the study were retrieved from Nigeria Demographic and Health Survey (NDHS) of 2018. A total sample of 6813 couples between 15 and 49 years of age was used in the study. Analyses were done using frequency and percentage distribution tables and a logistic regression model. Couples in polygynous relationships wanted about four times the number of children desired by couples in monogamous relationships. There were disparities in socio-demographic characteristics of couples and contraceptive use by type of marriage. Factors influencing the desire for more children among couples were work status, region, religion and contraceptive use. Existing interventions should take these factors into consideration.

Background

Achievement of Sustainable Development Goals (SDGs), especially goals one (end all forms of poverty), three (ensure healthy lives and promote well-being for all at all ages), four (ensure inclusive and equitable quality education and promote life-long learning opportunities for all) and five (achieve gender equality and empower all women and girls) might be a mirage without conscious efforts on the part of many developing countries to reduce population growth [1,2,3]. Rapid population growth due to a high fertility rate and fertility desire may engender strife, poverty, unemployment, competition for scarce resources, etc. [3]. A persistently high fertility rate and fertility desire will make developing countries poorer as a result of its effects on social and health care development [2]. A high fertility rate leads to a large population and this may subsequently lead to stiff competition for scarce resources that could instead be used for further productivity and income generation [2].

Generally, many developing countries of the world have witnessed development in their demographic transition. This has shown in the tremendous reduction in fertility and mortality rates over the last few decades [4,5,6]. However, total fertility rates in the West African sub-region have remained high [7, 8]. It is 5.3 per woman in Nigeria, 6.0 in Burkina Faso, 6.6 in Mali and 7.6 in Niger Republic [8]. In a bid to have a sustainable fertility reduction strategy and prevent unwanted, untimely and high-risk pregnancies, many countries have tried several population policies, including embracing family planning as one of the several methods of controlling population growth rate. Nigeria’s fertility rate, for instance, remained high and stalled after 28 years of different population policies [9,10,11]. Over the years, the country’s fertility rate, which was 6.6 in the 1960s, moved upward to 7.0 in 1975 [10] and later dropped to slightly less than 6 births per woman in the recent decades [8, 12].

Introduced in 1988, the National Policy on Population for Development, Unity, Progress and Self-Reliance set the following targets for one of its goals: ‘To achieve lower population growth rates, through reduction of birth rates by voluntary fertility regulation methods that are compatible with the attainment of economic and social goals of the nation.' The policy focused on individuals and couples in monogamous and polygynous families. This focus was necessary because marital fertility constituted a substantial part of the fertility in Nigeria. Moreover, this was not unconnected with the fertility desire of the monogamous and polygynous families. The total fertility rate was 6.0 in 1990. It was 5.7 in 2003, about fifteen years after the policy on population was introduced. The policy was revised and replaced in 2005 with the National Policy on Population for Sustainable Development, which set the following targets for one of its goals: ‘Progress towards a complete demographic transition to a reasonable growth in birth rates and a low death rate.' Three years later (in 2008), the total fertility rate remained 5.7. Eight years later (in 2013), the total fertility rate reduced to 5.5, a rate that was sustained for several years of population policies. The 2018 NDHS released in 2019 put the figure at 5.3 [7].

This has provoked a series of studies on the significant predictors of fertility in the country. Many empirical biosocial studies have revealed significant individual, household, kinship and community determinants of fertility rates in sub-Saharan Africa and Nigeria, in particular [10]. Importantly highlighted among these determinants of fertility rate and subsequent high population growth is fertility desire [13, 14]. However, as important as fertility desire is in the determination of fertility rate cum population growth, substantial scholarly enquiries have not been accorded to this germane research focus. The belief that more has to be done to explore or highlight these significant predictors of population growth path motivates the present study. The high total fertility and persistent population increase - despite different population policies - call for new approaches and efforts to influence the level of fertility in Nigeria. This is because properly planned population growth may foster adequate welfare of citizens, provision of requisite infrastructural development and reduction in the level of poverty in the country. Before making any efforts in these directions, one of the pertinent questions to ask is ‘How many more kids does a man in a polygynous relationship want than his wife compared to his counterpart in a monogamous relationship?’ or ‘Does a man in a polygynous relationship have higher odds of wanting more children than his wife compared to a man in a monogamous relationship?’ Adequate knowledge of fertility desire by marriage types (monogamous and polygynous families) would aid understanding and deepen knowledge on fertility intention.

Research has shown that most births are within marital unions [7, 8]. Consequently, a significant reduction in marital fertility will invariably reduce total fertility in Nigeria [8]. However, with regards to fertility, most studies have focused either on individual men or women [15,16,17,18,19,20] with few studies on couples [10, 21, 22]. In addition, type of marriage has not been adequately explored as a possible factor in fertility desire and consequently on the reproductive health of couples. Information on couples’ fertility desire, which mostly occurs in a marital setting, may help to explain and provide information necessary to influence the tide of fertility rate in Nigeria. It is therefore imperative to examine the relationship between fertility desire and marriage types among couples in Nigeria.

Nigeria, a country endowed with natural resources, can enjoy demographic dividend. This includes couples with other achievements, decline in mortality rates, increase in productivity of the working population, quality of education, adequate nutrition and access to sexual and reproductive health and rights. Also, there have been significant reductions in fertility and there are still conscious efforts being made. The reduction in fertility rate in Nigeria may reduce population growth and pave way for socio-economic development in the long run. Demographic dividend may facilitate economic growth and also enhance the possibility of quality education, good health and adequate nutrition. Change in population age structure due to a higher proportion of working people in the total population will increase the potential for economic growth and development.

This study is underpinned by the polygyny-fertility hypothesis; this hypothesis associates reduced fertility with polygyny. Theoretically, studies on the polygyny-fertility hypothesis showed mixed results. Many of the studies explained that fertility was lower in polygynous marriages compared to monogamous marriages and that inconsistency occurred due to differences in fertility by wife-order, number and aggregation of fertility among women in a polygynous marriage [23, 24]. On the contrary, using the polygyne hypothesis, Mulder's study on marital status and reproductive performance in Kipsigis women identified no association between marriage order or the number of wives in a polygynous marriage and reproductive performance [24]. Nigeria was noted for polygynous marriage, but the association between polygyny and fertility in Nigeria had not been explored adequately [25]; the dearth of evidence on the fertility-polygyny relationship may hinder efforts and intervention programmes especially in Nigeria. This stresses the need for more research on couples and their fertility desires. Therefore, this study hypothesized that a man in a polygynous relationship has higher odds of wanting more children than his wife compared to his counterpart in a monogamous relationship.

Given the emerging interest in the study of fertility intention among couples in developing countries, this study examined the extent to which couples in marriage types desire for children and the factors associated with it in Nigeria. Previous attempts at explaining fertility desire focused mainly on women or men [15, 16, 19].

Methods

Data extraction

Data for this study were derived from the 2018 NDHS couples’ recode dataset. It was a cross-sectional, comparable and nationally representative survey that employed a three-stage sampling technique. Taking into consideration the probability proportional to enumeration area size, 1400 Enumeration Areas (EAs) were selected. In all selected EAs, a household listing was done and the lists of households were used as a sampling frame. Nigeria was divided into clusters based on the 2006 Enumeration Areas (EAs) census frame and demarcation. In each cluster, 30 households were selected randomly to arrive at a representative sample of 42,000 households. Women in the 15–49 age range who were permanent residents or visitors in the household the night before the survey were considered eligible to participate in the interview.

The survey involved three different questionnaires. These were the household questionnaire, women’s questionnaire and men’s questionnaire. Also, a sub-sample of half of the men in the 15–49 age range in selected households was also interviewed [8]. Objective and self-reported information was collected on indicators of family planning, reproductive health, fertility, child and maternal health, nutrition and mortality. The 2018 NDHS dataset is available at http://dhsprogram.com/data/available-datasets.cfm. The records of women and men interviewed were matched to derive the couples’ dataset set. This study was based on ‘couple’ as a unit of analysis; hence, couples’ recode dataset was used for the study. Responses to questions on fertility desire and other relevant variables were included in the analysis. Non-response and those who indicated that they 'did not know' to questions were excluded to arrive at the weighted sample size of 6813.

Study variables and their measurement

Fertility desire was the outcome or dependent variable. It had three categories: ‘equal desire,' ‘husbands desire more’ and ‘wives desire more.' It was further reduced to two categories (equal desire {reference group coded ‘0’} and husbands desire more {coded ‘1’}. The third category, ‘wives desire more,’ was excluded in the course of data analysis (Table 3) because it had a few cases - 464 (6.8%) of the total sample size. The study had several independent variables: marriage type, disparity in couple’s educational attainment, region, place of residence, religion, wealth status, occupation, children ever born and contraceptive use. The study benefited from previous studies while considering variables to be included [10, 21, 22]. Fertility desires of husbands as reported by wives were used for analysis because a fertility report of the husbands was not available. In addition, reports of husbands on children ever born were used due to the polygynous nature of many families and the fact that a woman might report her own children ever born rather than that of the family. Table 1 provides the definition and coding of variables as used in the study.

Table 1 Variables used for analysis

Statistical analysis

Analyses of data were carried out at three levels – univariate, bivariate and multivariate with the use of Stata software. Frequencies and percentages were used at the univariate level to explain the socio-demographic and other characteristics of respondents while Chi- square tests were carried out at the bivariate level to consider the associations of fertility desire with socio-demographic and other variables. In addition, a correlation test was carried out to discover multicollinearity among independent variables. The results revealed the multicollinearity assumption was not violated. The tolerance value was not less than 0.10 (tolerance value of less than 0.1 is an indication of high correlations with other variables in the model) and the correlation between independent variables was less than 0.7 [26]. A binary logistic regression model was fitted at the multivariate level of analysis because the categories of the outcome variable were reduced from three to two. This study referred to and benefited from similar previous studies [10, 21, 22]. The model was adjusted for contraceptive use, differences in age, work status, wealth index, religion and number of children ever born to determine their association with fertility desire.

Results

Sample characteristics

Table 2 presents the socio-demographic and other characteristics of respondents. A majority of the couples belonged to a monogamous marriage type (73.8%), were working (69.3%), lived in rural areas (58.9%), were adherents of the Islamic religion (58.9%), were not using contraceptives (73.4%) and reported husbands were older (84.0%). Generally, the mean ideal number of children for men and women were 7.2 and 6.1, respectively. Almost half of the couples (49.3%) reported that husbands desired more children. The equal desired and more desired on the part of wives compared to husbands were 43.9% and 6.8%, respectively. About a third of the respondents were from North West (33.1%), 12.8% were from North Central, 17.9% from North East and 16.1% were from South West. Frequency distributions according to number of years spent in schools revealed that couples with about the same level of education had the highest percentage (46.2%). In consort, 39.2% of the husbands were more educated than their wives, with 14.6% of wives more educated than their husbands.

Table 2 Background and other selected characteristics and fertility desire: Univariate and bivariate analyses

The percentage distribution of the couples by wealth status revealed that 39.8% belonged to the poor category, 19.8% belonged to the middle class category, while 40.4% belonged to the rich category. Fertility desires by couples’ characteristics were also examined. As also revealed in Table 2, all the socio-demographic and other selected variables (marriage type, age, education, wealth index, residence, children ever born and contraceptive use) were statistically significantly associated with fertility desire.

Multivariate analysis of determinants of couples’ fertility desire

This section presents the results of multivariate analysis (Table 3). The relationship between fertility desire and selected explanatory variables was examined using the odds ratios. The first category (equal desire) was coded as '0' while the second category (husbands desired more) was coded as '1.' A binary logistic regression model was fitted to examine the influence of selected independent variables on couples’ fertility desire.

Table 3 Multivariate Analysis of Selected Characteristics of Couples by Fertility Desire (0 = Equal desire and 1 = Husbands desire more)

The model revealed the adjusted odds ratios of the selected independent variables on fertility desire. This model revealed a positive, statistically significant, higher odds ratio for more desire for children by husbands (OR = 4.3; 95%CI: 3.5, 5.3; P < 0.001) in a polygynous marriage type relative to monogamy. The model also revealed positive, statistically significant odds ratio for more desire for children by husbands among couples who were not using contraceptive (OR = 2.8; 95%CI: 1.9, 4.1; P < 0.001), either was using contraceptive (OR = 2.3; 95%CI: 1.6, 3.4; P < 0.001) and among couples who were not both working (OR = 1.33; 95%CI: 1.1, 1.6; P < 0.001). In addition, this study found statistically significant odds ratio for more desire for children by husbands among the couples in North East (OR = 2.0; 95%CI: 1.5, 2.6; P < 0.001), North West (OR = 1.7; 95%CI: 1.3, 2.3; P < 0.001) and the couples who were adherents of Islam (OR = 1.87; 95%CI: 0.5, 0.9; P < 0.01).

RC = Reference category; OR = odds ratio; ***p < 0.001.

Discussion

Main findings

Overall, more couples reported a monogamous type of marriage compared to a polygynous type. This finding contrasted the study carried out by Turnwait and Alfred (2018) which indicated that Nigeria was noted for polygyny [27]. There were disparities in couples’ desire for children. Less than half of the couples had equal desire for children. Fertility desires of husbands were more than that of their wives. This was in line with studies elsewhere [21, 22]. In addition, among the couples in the sample population, fertility desires of husbands were more in a polygynous marriage compared to fertility desires of husbands in a monogamous marriage. This finding is supported by a study conducted by Tertilt [28, 29]. The finding on the association between religion and fertility desires attests to the fact that Islamic religion and customary law encourage a polygynous marriage, which in turn leads to high fertility [30, 31]. Islam permits a man to marry four or more wives and this explains the desire for more children found among husbands affiliated to Islam. The high fertility desire of husbands over that of wives showed the pronatalist tendency of men [21] in Nigeria. This tendency might be related to the roles and traditional expectations men play in Nigeria as the heads and breadwinners of most families, as well as being the older partners in most cases. Men were also expected to take the leading role in decision-making even including decisions primarly affecting their wives. The roles were supported by cultures and religions in the country. This realisation may have led to lower fertility desire on the part of wives compared to their husbands. The different fertility goals of husbands and wives were supported by other studies [21, 22, 32]. However, higher desire for children in polygynous marriages compared to monogamous marriages contradicted assertions of many studies referring to the polygyny-fertility hypothesis that fertility was higher in monogamous marriage compared to a polygynous marriage [21, 33]. The study by Turnwait and Alfred (2018) suggested that competition between wives in a polygynous marriage could lead to increase in fertility desire [25]. In Nigeria, women are expected to cooperate with their husbands and recognise their views as mark of respect and obedience. They are not expected to assert their views on family matters but that of their husbands. These factors may help to understand the variance with the polygyny-fertility hypothesis. Mulder (1989) in his study among Kipsigis women in South Western Kenya also found no association between marital status and reproductive performance [24].

The study also indicated that residence in North East and North West regions were related to fertility desire of couples. The Northern part of Nigeria had been noted for high fertility desire and this phenomenon may be associated with Islamic religion and early marriage which encourages polygyny and high fertility, respectively. Fertility intention was found to be associated with the use of contraceptives among couples. The desire for children was higher among couples who were not using contraceptives [22]. Many couples (especially men) would discourage the use of contraceptives due to their high desire for more children, which is often related to religious and cultural beliefs.

Strengths and limitations of the study

The major strength of this study is the use of 2018 nationally representative Nigeria Demographic and Health Survey datasets collected through a consistent methodology. This makes the findings of the study generalizable. However, this analysis has some drawbacks. Prominently, the analysis utilized cross-sectional data; hence, only associations and no causal relationships are established. Since the survey was self-reported, there are the possibilities of recall and social acceptability biases. Another limitation of the study is that fertility desires of husbands as reported by wives were used for analysis because a fertility report of the husbands was not available. Also, reports of husbands on children ever born were used due to the polygynous nature of many families and the fact that a woman might report her own children ever born rather than that of the family. In addition, it could be that couples were in a polygynous relationship to have more children. There could be some limitations as regards to the accuracy and quality of educational level of respondents, for example, on the part of respondents with little or no formal education.

Conclusion

The study revealed the relevance of family type to fertility desire among couples in Nigeria. The fertility desire of husbands in a polygynous marriage was about four children compared to fertility desire of one child of husbands in a monogamous marriage. The currently high and stalled fertility level in Nigeria necessitates new approaches to influence fertility desire. Family planning policy and intervention programmes should also target the polygynous family type, especially with focus on men within this family setting due to their high desire for more children. In addition, because of the roles of men as the heads of most families and major decision-makers in the Nigerian society, they should be integrated into such programmes. Predisposing factors of fertility desire for more children, such as the region, religion and contraceptive use of couples, should be addressed in activities towards affecting fertility desire for more children. In addition to awareness campaigns, encouraging couples to use contraceptives with consideration of their religious beliefs should be considered. Therefore, to achieve the Sustainable Development Goals one, three, four and five, existing intervention programmes and policies need evaluation and revision to take cognisance of factors associated with fertility desire for more children among couples.

Availability of data and materials

Data for this study were sourced from the 2018 Nigeria Demographic and Health Survey (NDHS), available here: https://dhsprogram.com/what-we-do/survey/survey-display-438.cfm.

Abbreviations

DHS:

Demographic and Health Survey

EAS:

Enumeration Areas

FOS:

Federal Office of Statistics

IRB:

Institutional Review Board

NDHS:

Nigeria Demographic and Health Survey

NPopC:

National Population Commission

SDGs:

Sustainable Development Goals

References

  1. 1.

    Kelley AC. The consequences of rapid population growth on human resource development: the case of education. In: Ahlburg DA, Kelley AC, Mason KO, editors. The impact of population growth on well-being in developing countries [internet]. Berlin, Heidelberg: springer; 1996, p. 67–137. (population economics). Available from: https://doi.org/10.1007/978-3-662-03239-8_4.

  2. 2.

    Fan FA, Besong BJ. Implications of population growth for Nigeria’s development. Sophia. 2010;13(1):85–90.

    Google Scholar 

  3. 3.

    Sinding SW. Population, poverty and economic development. Philosophical Transactions of the Royal Society B. 2009;364(1532):3023.

    Article  Google Scholar 

  4. 4.

    Madsen JB, MOSLEHI S, WANG C. What has driven the great fertility decline in developing countries since 1960? J Dev Stud. 2018;54(4):738–57.

    Article  Google Scholar 

  5. 5.

    Hill K. Fertility and mortality trends in the developing world. AMBIO. 1992;21(1):79–83.

    Google Scholar 

  6. 6.

    Bongaarts J. Fertility transitions in developing countries: progress or stagnation? Stud Fam Plan. 2008;39(2):105–10.

    Article  Google Scholar 

  7. 7.

    Npc NPC-, ICF. Nigeria Demographic and Health Survey 2018 - Final Report. 2019 1 [cited 2020 Mar 19]; Available from: https://dhsprogram.com/publications/publication-fr359-dhs-final-reports.cfm.

  8. 8.

    NPC/Nigeria NPC-, International ICF. Nigeria Demographic and Health Survey 2013. 2014 Jun 1 [cited 2020 Mar 19]; Available from: https://dhsprogram.com/publications/publication-fr293-dhs-final-reports.cfm.

  9. 9.

    Okezie CA, Ogbe AO, Okezie CR. Socio-economic determinants of contraceptive use among rural women in Ikwuano Local Government Area of Abia State, Nigeria [Internet]. 2010 [cited 2020 Mar 17]. Available from: /paper/Socio-economic-determinants-of-contraceptive-use-in-Okezie-Ogbe/11018d905c0a3824475b3525015b8ae0ee391244.

  10. 10.

    Odusina EK. Determinants of fertility preference among couples in Nigeria: implication for fertility control. Gender and Behaviour. 2017;15(1):8406–20.

    Google Scholar 

  11. 11.

    Moultrie TA, Hosegood V, McGrath N, Hill C, Herbst K, Newell M-L. Refining the criteria for stalled fertility declines: an application to rural KwaZulu-Natal, South Africa, 1990–2005. Stud Fam Plan. 2008;39(1):39–48.

    Article  Google Scholar 

  12. 12.

    State of World Population 1999 [Internet]. [cited 2020 Mar 19]. Available from: /publications/state-world-population-1999.

  13. 13.

    Batchelor M, Watson M, Wilde A. Voices in harmony: contemporary women celebrate plural marriage. Salt Lake City, Utah: Principal Voices; 2000. 249 p.

  14. 14.

    Dickler RA. Woman’s role in economic development. By Ester Boserup. New York: St. Martin’s press, 1970. Pp. 283 + 64 tables, 15 figures. $7.50. J Eco History. 1971;31(3):704–6.

    Article  Google Scholar 

  15. 15.

    Adiri F, Ibrahim HI, Ajayi V, Sulayman HU, Yafeh AM, Ejembi CL. Fertility Behaviour of Men and Women in Three Communities in Kaduna State, Nigeria. African Journal of Reproductive Health [Internet]. 2017 16 [cited 2020 Mar 19];14(3 Special). Available from: https://www.ajrh.info/index.php/ajrh/article/view/533.

  16. 16.

    Behrman JA. Does schooling affect Women’s desired fertility? Evidence from Malawi, Uganda, and Ethiopia. Demography. 2015;52(3):787–809.

    Article  Google Scholar 

  17. 17.

    Mashara JN. Factors influencing fertility preferences of currently married men in Kenya. African Population Studies [Internet]. 2016 12 [cited 2020 Mar 19];30(2). Available from: https://aps.journals.ac.za/pub/article/view/857.

  18. 18.

    Ibisomi L. Ascertaining the level of fertility preference implementation in Nigeria. African Population Studies [Internet]. 2011 30 [cited 2020 Mar 19];25(2). Available from: https://aps.journals.ac.za/pub/article/view/242.

  19. 19.

    Banjo OO, Akinyemi JO. Spousal and household characteristics associated with Women’s fertility in sub-Saharan Africa. JPSS. 2018;26(1):13–31.

    Article  Google Scholar 

  20. 20.

    OlaOlorun F, Seme A, Otupiri E, Ogunjuyigbe P, Tsui A. Women’s fertility desires and contraceptive behavior in three peri-urban communities in sub Saharan Africa. Reprod Health [Internet]. 2016 12 [cited 2020 Mar 19];13. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4751729/.

  21. 21.

    Oyediran KA. Fertility Desires Of Yoruba Couples Of South-Western Nigeria. J Biosoc Sci. 2006;38(5):605–24.

    Article  Google Scholar 

  22. 22.

    Bankole A, Singh S. Couples’ fertility and contraceptive decision-making in developing countries: hearing the Man’s voice. Int Fam Plan Perspect. 1998;24(1):15–24.

    Article  Google Scholar 

  23. 23.

    Winking J, Stieglitz J, Kurten J, Kaplan H, Gurven M. Polygyny among the Tsimane of Bolivia: an improved method for testing the polygyny–fertility hypothesis. Proc R Soc B Biol Sci. 2013;280(1756):20123078.

    Article  Google Scholar 

  24. 24.

    Mulder MB. Marital status and reproductive performance in Kipsigis women: re-evaluating the polygyny-fertility hypothesis. Popul Stud. 1989;43(2):285–304.

    Article  Google Scholar 

  25. 25.

    The Polygyny-Fertility Hypothesis: New Evidences from Nigeria [Internet]. ResearchGate. [cited 2020 Mar 20]. Available from: https://www.researchgate.net/publication/328368278_The_Polygyny-Fertility_Hypothesis_New_Evidences_from_Nigeria.

  26. 26.

    Tabachnick BG, Fidell LS, Ullman JB. Using multivariate statistics. Vol. 5. Pearson Boston, MA; 2007.

  27. 27.

    Okafor U. HIV prevention : brothel leaders as facilitators of consistent condom use by female sex workers in Abuja, Nigeria. In 2018.

  28. 28.

    Tertilt M. Polygyny, fertility, and savings. J Polit Econ. 2005;113(6):1341–71.

    Article  Google Scholar 

  29. 29.

    Whitehouse B The Exaggerated Demise of Polygyny: Transformations in Marriage and Gender Relations in West Africa. In: Riley NE, Brunson J, editors. International Handbook on Gender and Demographic Processes [Internet]. Dordrecht: Springer Netherlands; 2018 [cited 2020 Mar 20]. p. 299–313. (International Handbooks of Population; vol. 8). Available from: http://link.springer.com/10.1007/978-94-024-1290-1_20.

  30. 30.

    Lawson DW, Gibson MA. Polygynous marriage and child health in sub-Saharan Africa: what is the evidence for harm? Demogr Res. 2018;S26(6):177–208.

    Article  Google Scholar 

  31. 31.

    Patel G. How ‘universal’ is the United Nations’ universal periodic review process? An examination of the discussions held on polygamy. Hum Rights Rev. 2017;18(4):459–83.

    Article  Google Scholar 

  32. 32.

    Ezeh AC. Polygyny and reproductive behavior in sub-saharan Africa: a contextual analysis. Demography. 1997;34(3):355–68.

    CAS  Article  Google Scholar 

  33. 33.

    Bean LL, Mineau GP. The polygyny–fertility hypothesis: a re-evaluation. Popul Stud. 1986;40(1):67–81.

    CAS  Article  Google Scholar 

Download references

Acknowledgments

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

Ethical consideration

Analyses were done using publicly available data from a DHS. Ethical procedures were the responsibility of the institutions that commissioned, funded or managed the surveys. All DHS surveys are approved by ICF international as well as an Institutional Review Board (IRB) in respective countries to ensure that the protocols are in compliance with the U.S. Department of Health and Human Services regulations for the protection of human subjects. In Nigeria, the survey was also approved by National Health Research Ethics Committee (NHREC). The approval number for the survey was NHREC/01/01/2007.

Funding

The authors have no support or funding to report.

Author information

Affiliations

Authors

Contributions

EKO and SY contributed to the study design, the review of literature, analysis, manuscript conceptualisation and preparation. EKO, AT, MN, GB and SY critically reviewed the manuscript for its intellectual content and contributed to data analysis. SY had final responsibility to submit. All authors approve the final manuscripts.

Corresponding author

Correspondence to Sanni Yaya.

Ethics declarations

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Ethics approval for this study was not required since the data is secondary and is available in the public domain. More details regarding DHS data and ethical standards are available at: http://goo.gl/ny8T6X.

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Sanni Yaya is the Editor-in-Chief of Reproductive Health.

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Odusina, E.K., Ayotunde, T., Kunnuji, M. et al. Fertility preferences among couples in Nigeria: a cross sectional study. Reprod Health 17, 92 (2020). https://doi.org/10.1186/s12978-020-00940-9

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Keywords

  • Fertility desire
  • Type of marriage
  • Couple
  • Nigeria
  • Demographic and health survey
  • Cross-sectional study; Global Health