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Maternal grand multiparity and intention to use modern contraceptives in Nigeria

Abstract

Background

Grand multiparity and low contraceptive prevalence are dominant among Nigerian women. These elevate the risk of unintended pregnancies, high-risk fertility and adverse maternal and child health outcomes among women in the country, particularly grand multiparous women. Studies have examined predictors of intention to use modern contraceptives among women of reproductive age. However, these studies did not ascertain the extent to which grand multiparity is associated with intention to use modern contraceptives. This study examined association between grand multiparity and intention to use modern contraceptives in Nigeria.

Methods

The study pooled data from 2003 to 2013 Nigeria Demographic and Health Surveys. The weighted sample size analysed was 34,302 women. The outcome variable was intention to use contraceptive. The main explanatory variable was parity with specific attention to grand multiparity. Unadjusted multinomial logistic regression coefficients were used to examine association between specific explanatory or control variables and intention to use contraceptives while the adjusted multinomial logistic regression was applied to further examine associated factors of intention to use contraceptives relative to being uncertain about future contraceptive use. Four multinomial logistic regression models were fitted using Stata 14.

Results

More than half of respondents do not intend to use contraceptives, while less than one-fifth of respondents intend to use contraceptives in the future. Across the four fitted models, the relative risks of intention to use compared with being uncertain about future contraceptive use were significantly lower among grand multiparous women. Results further revealed pregnancy termination, fertility planning status, exposure to mass media family planning messages, knowledge of modern contraceptives, ideal family size, remarriage, household power relations, and maternal education as other key factors influencing expected risk of intention to use contraceptives relative to being uncertain about future contraceptive use.

Conclusion

Maternal grand multiparity is significantly associated with intention to use contraceptives among women in Nigeria. The development of a specific population and health programme to target grand multiparous women is imperative in the country. Such programme could be integrated into existing national family planning programme through specific contraceptive education, counselling and information for high parous women.

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Background

Parity is the number of live births borne by a woman, and may be categorised into primiparity (one live birth), multiparity (more than one but less than five live births), and grand multiparity which is also referred to as high parity (five or more live births) [1,2,3]. Parity has been identified as an independent factor that elevates the risks of childbearing particularly the risks associated with pregnancy and childbirth [4,5,6,7,8,9,10]. This however is with regard to specific categories of parity. The grand multiparous condition has attracted more research attention due to increasing evidence of higher likelihood of adverse maternal and newborn health outcomes among grand multiparous women. This attention first emanated from the works of Bethel Solomon who used the term “The Dangerous Multipara” to correct erroneous impression that previous experience of childbirth eases the burden of child delivery [11, 12]. Subsequently, several obstetric studies reviewed cases of child deliveries in hospitals for the purpose of determining whether grand multiparity was truly an obstetric risk. In this regard, a large number of studies across the world have provided empirical evidence that grand multiparity indeed remains an obstetric risk [13,14,15,16,17,18,19,20].

Though few studies [21] have argued that grand multiparity may not be discouraged if women are provided with adequate perinatal care, the health risks of grand multiparity include but not limited to incidence of anaemia in pregnancy [22], type 2 Diabetes [23], severe mental disorders [24], perinatal death [25], and several prenatal risks [26]. Incidentally, grand multiparity is more prevalent in developing countries where health delivery systems are grossly inadequate to cope with rising demand for maternal and child health problems [27,28,29,30]. In Nigeria, having large number of children is highly valued across communities. Motherhood to a great extent determines how a woman is treated or respected in many Nigerian communities [31]. In several cases, women facing fertility challenges also face increased likelihood of stigmatisation and intimate partner violence [32,33,34]. Indeed, in many Nigerian communities, childbearing is widely perceived as the sole work of women in the communities [35], and voluntary or involuntary childlessness are not accepted in virtually every part of Nigeria [32, 36]. Several fertility studies in the country have thus documented the dominance of grand multiparity among Nigerian women [37, 38] with evidence that many grand multiparous women seek medical treatment for delays experienced in the process of having more children [39]. Also, a number of obstetric studies in the country concluded that grand multiparity remains a public health challenge in Nigeria [40,41,42,43,44].

Against this backdrop, studies have observed that the prevalence of grand multiparity present key challenges for scaling up family planning programmes to improve men and women’s contraceptive behaviour with the purpose of reducing high and unintended pregnancies and high-risk fertility among women particularly grand multiparous women [3, 29]. This is based on the understanding that many women in developing countries including grand multiparous women do not use modern contraceptives for various reasons [45,46,47,48,49,50,51]. It also implies that many grand multiparous women still face the risk of unintended fertility which may not only further aggravate their reproductive health and well-being, but also sustain current high birth rates in developing countries including Nigeria.

However, in spite of these implications, studies have rarely examined the extent to which grand multiparity is associated with intention to use modern contraceptives among women. Though studies have examined predictors of intention to use modern contraceptives among women of reproductive age [52,53,54], these studies did not ascertain the extent to which grand multiparity is associated with intention to use modern contraceptives. This has not only limited adequate assessment of future use of contraceptives among grand multiparous women. It also undermines the knowledge of the extent to which grand multiparity may influence future contraceptive use. This study addressed these limitations by raising the question: to what extent is grand multiparity associated with intention to use modern contraceptives? The objective of the study was to examine association between grand multiparity and intention to use modern contraceptives. This was with the view to drawing attention to the implications of grand multiparity for future contraceptive behaviour and women’s reproductive health and general well-being in the march towards attainment of the Sustainable Development Goals (SDGs) in Nigeria. Also, this study provides additional information that specific family planning strategy could be developed to target grand multiparous women in the country. This is important for repositioning the existing 2004 National Population Policy for Sustainable Development, which is yet to make appreciable impact on quality of life in the country [55,56,57].

The Theory of Planned Behaviour (TPB) which is an extension of the Theory of Reasoned Action (TRA) provided the theoretical focus for this study. The TPB asserts that the proximate determinant of behaviour is behavioural intentions, which depends on attitude toward the behaviour, social normative perception and perceived behaviour control [58,59,60]. Though, there are arguments against the use of the TPB for modelling human fertility [61], the TPB have been widely verified to have high capacity for predicting human behavioural intention [62, 63]. There are three key constructs of the TPB [63]. The first is behaviour belief (perceived positive or negative consequences of a specific behaviour) that results in specific attitudes upon individual evaluation of performing the behaviour (behaviour attitudes). The second is normative belief (expectation and behaviours of important element in the household or society) that results in the degree to which an individual wants to agree or disagree with the expectation of the important elements (subjective norm). The third is control belief (external factors that may hinder or enhance the performance of the behaviour) which results in the assessment of how easy or difficult it is to perform the behaviour (perceived behaviour control).

Behaviour belief in this study was proxy by child mortality, type of marriage and ideal family size. These factors may directly affect parity or indirectly affect parity by encouraging or discouraging intention to use contraceptives through reproductive attitudes. For instance, most women who have experienced child mortality usually have positive attitudes towards replacing the dead child and are likely to want to replace the dead child [3]. Also, co-wives competition within polygynous household may affect intention to use contraceptives by impacting parity [64] through reproductive attitudes that discourage intention to use contraceptives. Given that contraceptive use is low among Nigerian women, desire of the individual woman not to have a pregnancy termination or a repeat pregnancy termination will impact intention to use contraceptives. Studies have already shown that contraceptive use increases when post-abortion family planning services are provided following pregnancy termination [65, 66].

Normative belief was proxy in the study by remarriage and fertility desire. These factors will influence the extent to which women meets partner or societal expectation for additional children. For instance, regardless of previous number of children, remarried women in most parts of Nigeria are expected to raise additional children in the new marriage for the purpose of optimal marital satisfaction [67]. This may affect their parity with effect on intention to use contraceptives. Also, evidence has shown that men have higher fertility desire than women in Nigeria [68, 69], and given male dominance of reproductive decisions in Nigerian households [70], many women do not have power to plan their fertility. The occurrence of a mistimed or unwanted pregnancy among such women is more likely to increase their parity which may create need to evaluate future use of contraceptives. Control belief in the study was proxy by household power relations and maternal education. These factors represent the extent to which women may independently access contraceptive information or services without or with little male partner involvement.

Methods

Data source, pooling and sample size

The study pooled data from Individual Recode (Women data) of 2003, 2008, and 2013 Nigeria Demographic and Health Surveys (NDHSs). The essence of pooling data from the 2003–2013 NDHSs is to analyse a sufficiently large sample to improve statistical precision and understanding of the relationship between parity and intention to use contraceptives. Pooling data from nationally representative samples is particularly suitable because the samples have been collected using similar designs with most of the variables being assigned the same names and codes. Increasing number of studies [71,72,73,74] has adopted the data pooling approach particularly in the analyses of data from the DHS Programme. The National Population Commission (NPC) implemented the surveys in Nigeria with both technical and financial assistance of ICF International. The surveys were nationally representative. In each of the surveys, samples were selected through multi-stage cluster designs. The detail designs employed in the surveys have been widely published [69, 75, 76]. The pooled data covered a total of 79,953 women aged 15–49 years. However, the current study did not analyse all the women. All nulliparous women (that is women who have not had a live birth) were excluded because the unit of analysis in the study are women who have had at least a live birth. The eligibility criteria in the study are having had at least one live birth, being sexually active in the last one month, not being declared infecund, not currently using a modern contraceptive method, and being currently married. The weighted sample size analysed was 34,302 women.

Research variables

The outcome variable in the study was intention to use modern contraceptives. This variable measures the extent to which non-users of modern contraceptives plan to use any modern method in the future [69]. This information was sourced from currently married women who were not using a modern method. The variable has three categories, namely, (1) use later, (2) uncertain, and (3) does not intend to use. However, analyses in the study focused on ‘use later’ category with the ‘uncertain’ category as the base category. The reason for this focus is the importance of the ‘use later’ category since women in this category are those who are more likely to demand contraceptive method in the future. The main explanatory variable was parity with specific attention to grand multiparity. Other explanatory variables are based on the theoretical constructs of the TPB. Descriptions of these variables are presented in Table 1. Five individual characteristics, namely, place of residence, maternal age, religion, age at first birth, and geographic region are selected for statistical control.

Table 1 Variable Identification and Description

Data analysis

Statistical analyses were carried out at three levels in the study. At the univariate level, frequency distribution, percentages and charts were used to described sample characteristics and intention to use contraceptives. At the bivariate level, unadjusted multinomial logistic regression coefficients were used to examine the association (positive or negative) between specific explanatory or control variable and intention to use contraceptive. At the multivariate level, the adjusted multinomial logistic regression was used to further examine association between the research variables. To be selected for inclusion in the multivariate analysis, a variable must have shown statistical significance with at least one outcome category at the bivariate level.

The multinomial logistic regression is most suitable for the study because the three categories of the outcome variable do not have natural ordering. If the categories are ordered, the ordered logistic regression will also be suitable for the study. However, the shortcoming of the ordered logistic regression is that it will not provide separate regression coefficients for each category of the outcome variable; hence the multinomial logistic regression was preferred. Four multinomial regression models were fitted in the study using the mlogit command of Stata version 14 [77]. Model 1 was based solely on parity while controlling for other explanatory variables. Model 2 included parity, measures of behaviour attitude, subjective norm and perceived behaviour control while controlling for the underlying determinants and the background characteristics. Model 3 included parity, and the underlying and proximate factors while controlling for the background characteristics. Model 4 was the full model and included all explanatory and control variables. The Relative Risk Ratio (RRR) was used to estimate the multinomial regression coefficients. The RRR measured change in the ‘use later’ category in relation to the ‘uncertain’ category due to change in the explanatory variable. The survey weights provided by the DHS were applied during the regression analysis. Prior to performing the multivariate analysis, a multi-collinearity check was carried out using the mean score of Variance Inflation Factor (VIF). This test was carried out by applying Stata command ‘vif uncentered’. The mean VIF score of 3.16 obtained confirm that there is no substantial multicollinearity among the explanatory variables [78]. Statistical significance in the study was set at 5%.

Ethics statement

The surveys were approved by the National Health Research Ethics Committee with assigned number NHREC/01/01/2007 in the 2008 and 2013 surveys [69, 76]. Authorisation to download and analyse the datasets was obtained from MEASURE/DHS through on-line application. Analyses are not linked to any individual or household.

Results

Univariate analysis

Fig. 1 presents distribution of parity and intention to use contraceptives among respondents. Less than one-fifth of respondents were primiparous while more than one-third of respondents were either in the multiparous or grand multiparous categories though with slightly more proportion of respondents in the grand multiparous category. More than half of respondents do not intend to use contraceptives in the future; nearly one-fifth intend to use contraceptives in the future, while slightly more than one-fifth was unsure of use in the future. Table 2 presents the socio-demographic characteristics of respondents. More than two-thirds of respondents reside in rural areas while less than one-third of them reside in urban areas of the country. The majority of respondents are currently in the age interval of 25–34 years. However, almost two-fifths of respondents are in the advanced reproductive age 35 years or older. The majority of respondents were in the age interval 15–19 years at their first birth. Muslim women particularly from the Northern region were dominant in the sample. Though, more than half of respondents had never experienced child mortality, a substantial proportion of respondents had ever experienced child mortality. Monogamy was the dominant type of marriage among respondents. The majority of respondents desired to have five or more children, and had been married only once.

Fig. 1
figure 1

Percentage Distribution of Respondents by Parity and Intention to use contraceptives

Table 2 Socio-Demographic Characteristics of Respondents, 2003–2013 NDHS, Nigeria

Fertility desire was higher among respondents’ partners compared with the surveyed women. In the majority of respondents’ households, power relations in terms of household decision-making were male dominated. Education was poor among respondents with almost three out of five women reporting no formal education, and less than one-fifth each reporting either primary or secondary education. Higher education was the least attained among respondents. The majority of respondents had never used contraceptive. More than one tenth of respondents had ever experienced a pregnancy termination, but the majority of respondents wanted their most recent live birth at the time the pregnancy occurred. Though, more than two-thirds of respondents know at least a modern contraceptive method, exposure to mass media family planning messages was poor among respondents with more than two-thirds of respondents reporting no exposure to mass media family planning messages.

Bivariate analysis

Table 3 presents the association between the research variables. Parity was negatively associated with to intention to use contraceptives later with lowest intention to use contraceptives observed among grand multiparous women compared with other parous women Place of residence and intention to use contraceptives later are negatively associated (β = − 0.135; 95% CI: -0.204, − 0.065). Rural women compared with urban women (15.6% vs. 25.4%) had lower proportion of intention to use contraceptives later. The association between maternal age and intention to use contraceptives later was mixed. The association was positive among younger women (β = 0.160; 95% CI: 0.071–0.248) but negative (β = − 120; 95% CI: -0.215, − 0.025) among women in advanced reproductive age among whom the lowest proportion of intention to use contraceptives was observed. Age at first birth and intention to use contraceptives later were positively related. The proportion of women who intend to use contraceptives later increased as age at first birth increases. Moslem women compared with Christian women showed less intention to use contraceptives later (12.0% vs. 32.6%) indicating a negative association between religion and intention to use contraceptives later. Geographic region and intention to use contraceptives later are positively associated (β = 0.178; 95% CI: 0.110–0.246) with higher intention to use contraceptives observed among Southern women compared with Northern women (31.2% vs. 13.8%). The association between child mortality and intention to use contraceptives later was positive (β = 0.06; 95% CI: -0.044, 0.095). Women who had never experienced child mortality had higher intention to use contraceptives later compared with women who had ever experienced child mortality (21.0% vs. 15.4%).

Table 3 Percent intention to use contraceptive later by respondents’ characteristics and unadjusted multinomial logistic regression coefficients

Type of marriage and intention to use contraceptives later are negatively associated (β = − 0.123; 95% CI: -0.196, − 0.049) with higher intention to use contraceptives later observed among monogamous women compared with polygynous women (21.4% vs. 13.9%). The association between ideal family size and intention to use contraceptives later was positive but the proportion of women who intend to use contraceptives later was inconsistent as ideal family size increases. Remarriage and intention to use contraceptives later are positively associated (β = 0.127; 95% CI: 0.028–0.225) with slightly higher intention to use contraceptives in the future among remarried women. The association between fertility desire and intention to use contraceptives later was negative. Intention to use contraceptives later was highest among women whose male partners wanted fewer children, but women whose male partners had desire for more children had the least intention to use contraceptives later. Household power relation was negatively associated with intention to use contraceptives later (β = − 0.057; 95% CI: -0.128, − 0.013). However, women who lived in households where power relations were male dominated had higher intention to use contraceptives later compared with those in households without male dominance of the power relations.

Intention to use contraceptives later substantially improves as maternal education improved, thus revealing a positive association between maternal education and intention to use contraceptives later. Previous contraceptive status was negatively related to intention to use contraceptives later. Higher prevalence of intention to use contraceptives later was observed among women who had ever used contraceptive compared to women who never used a method (23.3% vs. 17.3%). The relationship between pregnancy termination and intention to use contraceptives later was positive (β = 0.294; 95% CI: 0.201–0.387), and showed that women who had ever terminated a pregnancy were more willing to use contraceptives later. Fertility planning status relates positively with intention to use contraceptives. Higher level of intention to use contraceptives was observed among women whose last child was mistimed. Television and newspaper family planning messages were positively associated with higher intention to use contraceptives later. Likewise, knowledge of modern contraceptive method was associated with higher intention to use contraceptives later. These bivariate associations were further investigated at the multivariate level.

Multivariate analysis

Results of the multivariate analysis are presented in Table 4. However, only results for intention to use contraceptive later are presented in the section in line with the study objective. In Model 1 based solely on parity, a change in parity from primiparity to grand multiparity was associated with a decrease in the relative risk of intention to use contraceptives later compared with being uncertain (RRR = 0.736; 95% CI: 0.666–0.814). With the inclusion of the proximate determinants in Model 2, and controlling for the underlying determinants, the expected intention to use contraceptives later relative to being uncertain was lower among grand multiparous women (RRR = 0.762; 95% CI: 0.687–0.844). In the model, the relative risk of intention to use contraceptives later relative to being uncertain was reduced by a factor of 0.552 among women who had ever used contraceptives (RRR = 0.552; 95% CI: 0.502–0.608). However, the relative risk of intention to use contraceptives later compared with being uncertain increased significantly among women who: ever had a pregnancy termination (RRR = 1.238; 95% CI: 1.126–1.361); had either a mistimed (RRR = 1.883; 95% CI: 1.635–2.167) or unwanted last child (RRR = 1.273; 95% CI: 1.036–1.563); had exposure to mass media family planning messages; and had knowledge of modern contraceptive method (RRR = 3.758; 95% CI: 3.340–4.229).

Table 4 Factors predicting intention to use contraceptives later relative to being uncertain about future contraceptive use

In Model 3, the relative risk of intention to use contraceptives later compared with being uncertain reduced significantly among grand multiparous women (RRR = 0.796; 95% CI: 0.707–0.893) and multiparous women (RRR = 0.792; 95% CI: 0.716–0.877). In the model, the variables associated with significant reduction in the relative risk of intention to use contraceptives compared to being uncertain are previous contraceptive status, child mortality experience, and fertility desire. On the other hand, the variables associated with higher relative risk of intention to use contraceptives later compared with being uncertain are pregnancy termination, fertility planning status, exposure to mass media family planning messages, ideal family size, remarriage, household power relation, and maternal education. For instance, the expected intention to use contraceptives later compared to being uncertain was more than three times higher among women who had knowledge of modern contraceptive (RRR = 3.154; 95% CI: 2793–3.563). Likewise, the relative risk of intention to use contraceptives later compared with being uncertain was higher among remarried women (RRR = 1.235; 95% CI: 1.112–1.372).

In the full model, parity was negatively associated with intention to use contraceptives later. The expected risk of intention to use contraceptives later relative to being uncertain about future use significantly reduced among multiparous (RRR = 0.790; 95% CI: 0.708–0.881) and grand multiparous (RRR = 0.862; 95% CI: 0.745–0.997) women. With the exclusion of previous contraceptive status, all the proximate factors were associated with higher likelihood of intention to use contraceptives later. For instance, among women who had ever terminated a pregnancy compared with those who had never terminated pregnancy, the expected risk of intention to use contraceptives later relative to being uncertain about future use was higher by 20.5% (RRR = 1.205; 95% CI: 1.093–1.328). Similarly, among women exposed to newspaper family planning messages compared with non-exposed women, the relative risk of intention to use contraceptives later versus being uncertain about future use was higher by 32.1% (RRR = 1.321; 95% CI: 1.143–1.527).

With the exclusion of child mortality, all the underlying factors were associated with higher likelihood of intention to use contraceptives later. For instance, the relative risk of intention to use contraceptives later compared with being uncertain was 25.3% higher among women who remarried (RRR = 1.253; 95% CI: 1.127–1.393). Likewise, the expected risk of intention to use contraceptives later compared with being uncertain was 14.8% among women whose household power relations were male dominated (RRR = 1.148; 95% CI: 1.061–1.243). The selected background characteristics showed varying degrees of association with intention to use contraceptives later. However, while rural residence was associated with higher intention to use contraceptives, advanced reproductive age and Islam were associated with lower intention to use contraceptives later.

Discussion

This study examined association between grand multiparity and intention to use modern contraceptives in Nigeria. The study advances the frontier of knowledge by addressing the limitation of previous studies which though investigated predictors of intention to use modern contraceptives among women of reproductive age but paid no attention to ascertaining the extent to which grand multiparity is associated with intention to use contraceptives [52,53,54]. As the country march towards achieving the post-2015 development agenda, it is important not only to recognise that grand multiparity is one of the key reasons that undermine women’s reproductive health through excessive childbearing burden, but also that boosting contraceptive use among them has several health and non-health benefits that could further reposition Nigerian women for more productive role in attaining the post-2015 development agenda in the country. By linking grand multiparity to intention to use contraceptives, this study thus provided an avenue for assessing future contraceptive demand. Though, for some women, intention may not necessarily lead to future use, but for large numbers of women, intention is a sufficient driver of future use.

Understanding the extent of grand multiparity as well as its association with intention to use contraceptives offer additional insights for demographic and health policy makers to develop interventions targeting grand multiparous women in order to improve their reproductive and general well-being. Another merit of the study relates to the quality data analysed. The DHS programmes are well planned and executed across developing countries. This enhances international comparability of findings based on DHS data. Also, the findings in the study provided more support for the TPB in spite of arguments against the TPB [61]. Findings showed that TPB theoretical construct significantly influenced intention to use contraceptives in line with the assertions of the TPB [58,59,60]. Three of the findings have implications for population and health policy and programming in the country.

One, intention to use contraceptives is low among grand multiparous women in Nigeria. As evident in the study, less than one-fifth of grand multiparous women intend to use contraceptives later. This is not good enough for population and women’s reproductive health in the country for two reasons. Firstly, non-intention to use contraceptives by majority of grand multiparous women implies that they remain vulnerable to unintended pregnancies and high-risk fertility or induced abortion if they have no fertility desire [3, 29], and elevated risk of adverse maternal and child health outcome if they have fertility desire [22,23,24,25,26]. Both possibilities may further overstretch existing poor health delivery system in the country [27,28,29,30]. Secondly, additional children by grand multiparous women contributes significantly to current high fertility level in the country and may be one of the reasons slowing down the pace of fertility transition in Nigeria. The transition is assumed to have started in any country when fertility level reduces by at least 10% with an irreversible downward trend. During this period, rise in use of contraceptives is expected among women in higher age groups who are more likely to be grand multiparous in Nigeria. The low intention to use contraceptives among these women as found in the study thus portends serious challenge to fertility transition in Nigeria.

The development of a specific population and health programme to target grand multiparous women is thus imperative in the country. Such a programme could be integrated into existing national family planning programme through specific contraceptive education, counselling and information for high parous women. Also, the programme should seek to ensure that known barriers to contraceptive use in the country such as misconception arising from ignorance or religious practices are fully addressed to enable grand multiparous women with intention to use contraceptives actualise their contraceptive intention. In addition, the programme should evolve strategies built around the factors that improve intention to use contraceptives. As found in this study, the proximate factors that improve intention to use contraceptives are pregnancy termination, fertility planning status, mass media family planning messages, and knowledge of contraceptive, while the underlying factors that interact with parity to improve intention to use contraceptives are remarriage, household power relation, and maternal education.

Two, grand multiparity is dominant among women in Nigeria. This finding corroborates evidence in a number of previous studies in Nigeria which found the dominance of high parity among Nigerian women [37,38,39, 49]. With increasing evidence that grand multiparity remains an obstetric challenge in Nigeria [40,41,42,43,44], it is important that the consequences of grand multiparity for women’s health be brought to the fore of national population policy strategy for improving women’s health and safe motherhood in the country. Though, the existing programme seeks to devise measures to detect, prevent, and manage high-risk pregnancies and births, however, implementation of the policy has been bedevilled by a plethora of challenges such as very weak enabling environment occasioned by widespread poverty and socio-cultural issues like polygyny, son preference, child marriage, gender-based violence, and child labour, which influences childbearing practices and undermine women’s reproductive health in the country [55, 57]. The on-going review of the policy should be optimally explored by prioritising grand multiparity and its associated consequences.

Three, grand multiparity is negatively associated with intention to use contraceptives in Nigeria. Ordinarily, the higher the number of children ever borne to a woman, the stronger should be her desire to either space or limit childbearing. This will create demand for contraception. But observing that increasing parity reduces intention to use contraceptives as found in the study tends to suggest that while fertility has remained deeply rooted in cultural values and practices, the health and non-health benefits of contraception to women, men and families is yet to be widely appreciated in Nigeria. Though, family planning is voluntary in Nigeria, the connectivity of family planning and higher quality of life for all people needs to be well understood and promoted in all the nooks and crannies of the country not only in ways that deemphasise national focus of national population policy targets, but also in ways that are consistent with the cultural practices of specific majority and minority ethnic groups in the country.

It is important to note that the analyses carried out in the study, as well as inferences drawn from the study may be affected by five factors. One, the study did not predict actual contraceptive behaviour as expected by the TPB, but predicted intention to use contraceptive. The reason for this shortcoming was the use of cross-sectional data in the study which is unable to capture future behaviour. Nevertheless, the study assumed that intention to use contraceptives is an important factor that determines actual contraceptive use in the future. Two, the proximate and underlying factors proxy and analysed in the study may not exactly match the theoretical constructs of the TPB. However, attempts were made in the study to ensure that variables selected as indicators of the TPB constructs are the most appropriate in the available NDHS datasets. Thus, the use of different indicators for the TPB construct in future research may present a different finding. Three, outcome variable in the study was categorical and not ordered as done in some previous studies [60, 62, 63]. This is because data analysed in the study were not derived from bipolar scale as found in some existing studies. However, the use of a different analytical technique compared to techniques in existing studies may have neutralised the effects of differences in the nature of data analysed. Four, the current study focused on women who intend to use contraceptive later. It is also important for future studies to ascertain the factors that drive no intention to use contraceptives so as to devise more contraceptive behaviour change strategies. Five, parity was measured in the study as number of children previously born alive to a woman in line with its description in demographic and population literature [2, 3, 29]. This definition slightly differs from the clinical application of the term by obstetricians and midwives, who considered age of viability of pregnancies as the important feature of parity or nulliparity. Notwithstanding, the definition of parity in the study is relevant because pregnancy and its outcomes is not strictly a clinical matter, but as well a social issue that could be analysed from non-clinical perspective. More importantly, a number of clinical studies have also adopted the definition of parity as number of previously born live births [79, 80]. Hence, the non-clinical definition of parity did not alter the significance of the study findings.

Conclusion

Findings from the study not only provided evidence that less than one-fifth of surveyed grand multiparous women intend to use contraceptives in the future, it further revealed that maternal grand multiparity is negatively associated with intention to use contraceptives in Nigeria. These findings indicate an unlikely rise in future contraceptive prevalence and significant fertility decline in the country. To boost future contraceptive use, the development of a specific population and health programme to target grand multiparous women is imperative in Nigeria. Such programme could be integrated into existing national family planning programmes through specific contraceptive education, counselling and information for high parous women.

References

  1. Opara EL, Zaidi J. The interpretation and clinical application of the word ‘parity’: a survey. BJOG. 2007;114:1295–7. https://doi.org/10.1111/j.1471-0528.2007.01435.x.

    Article  PubMed  CAS  Google Scholar 

  2. Knowledge for Health (K4Health) Project. A User’s Guide to Popline Keywords. 10th ed. Baltimore: Johns Hopkins Center for Communication Program; 2014.

    Google Scholar 

  3. The Health Commun Capacity Collaborative HC3. Engaging Families for Healthy Pregnancies - A Focused Desk Review of Knowledge, Attitudes and Behaviors Related to Pregnancies in Three High-Risk Situations: Advanced Maternal Age; High Parity; and Rapid Repeat Pregnancies After Abortion or Miscarriage. Baltimore: Johns Hopkins Bloomberg School of Public Health Center for Communication Programs; 2014.

    Google Scholar 

  4. Goldman GA, Kaplan B, Neri A, Hecht-Resnick R, Harel L, Ovadia J. The grand multipara. Eur J Obstet Gynecol Reprod Biol. 1995;61:105–9.

    Article  CAS  Google Scholar 

  5. Aliyu MH, Jolly PE, Ehiri JE, Salihu HM. High Parity and Adverse birth outcomes: exploring the maze. Birth. 2005;32(1):45–59.

    Article  Google Scholar 

  6. Koski-Rahikkala H, Pouta A, Pietilainen K, Hartikainen A-L. Does parity affect mortality among parous women? J Epidemiol Community Health. 2006;60:968–73. https://doi.org/10.1136/jech.2005.044735.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  7. Jaffe DH, Eisenbach Z, Manor O. The effect of parity on cause-specific mortality among married men and women. Matern Child Health J. 2011;15:376–85. https://doi.org/10.1007/s10995-010-0591-x.

    Article  PubMed  Google Scholar 

  8. Hannoun A, Usta IM, Awwad J, Moukalled D, Yahya F, Jurdi A, et al. Effect of parity on maternal and neonatal outcomes in twin gestations. Acta Obstet Gynecol Scand. 2012;91:117–21. https://doi.org/10.1111/j.1600-0412.2011.01192.x.

    Article  PubMed  Google Scholar 

  9. Sonneveldt E, Plosky WD, Stover J. Linking high parity and maternal and child mortality: what is the impact of lower health services coverage among higher order births? BMC Public Health. 2013;13(Suppl 3):S7. https://doi.org/10.1186/1471-2458-13-S3-S7.

    Article  Google Scholar 

  10. Kozuki N, Sonneveldt E, Walker N. Residual confounding explains the association between high parity and child mortality. BMC Public Health. 2013;13(Suppl 3):S5 https://doi.org/10.1186/1471-2458-13-S3-S5.

    Article  Google Scholar 

  11. Fuchs K, Peretz B-A, Marcovici R, Paldi E, Timor-Tritsh I. The “grand multipara” - is it a problem? A review of 5785 cases. Int J Gynaecol Obstet. 1985;23:321–5.

    Article  CAS  Google Scholar 

  12. Toohey JS, Keegan KA, Morgan MA. The dangerous multipara: fact or fiction? Am J Obstet Gynecol. 1995;172:683–6.

    Article  CAS  Google Scholar 

  13. Brunner J, Melander E, Krook-Brandt M, Thomassen PA. Grand multiparity as an obstetric risk factor; a prospective case-control study. Eur J Obstet Gynecol Reprod Biol. 1992;47:201–5.

    Article  CAS  Google Scholar 

  14. Abu-Heija AT, Chalabi HEL. Great grand multiparity: is it a risk? J Obstet Gynaecol. 1998;18(2):136–8.

    Article  CAS  Google Scholar 

  15. Nassar AH, Fayyumy R, Saab W, Mehio G, Usta IM. Grandmultiparas in modern obstetrics. Am J Perinatol. 2006;23:345–50. https://doi.org/10.1055/s-2006-947158.

    Article  PubMed  Google Scholar 

  16. Mgaya AH, Massawe SN, Kidanto HL, Mgaya HN. Grand multiparity: is it still a risk in pregnancy? BMC Pregnancy Childbirth. 2013;13:241 https://doi.org/10.1186/1471-2393-13-241.

    Article  Google Scholar 

  17. Sultan S, Ojha J. Grand multi parity still and obstetric challenge- a clinical study of grand multi Para in a tertiary care center. J Evol Med Dent Sci. 2013;12(39):7423–30.

    Article  Google Scholar 

  18. Saadia Z. Grand-multiparity in Saudi Arabia—examining the obstetric risk. J Gynecol Obstet. 2014;2(2):16–9. https://doi.org/10.11648/j.jgo.20140202.12.

    Article  Google Scholar 

  19. Singh SP, Chawan J. Mangla D. a descriptive study: maternal and fetal outcome of grand multipara. Int J Reprod Contracept Obstet Gynecol. 2015;4(1):219–23. https://doi.org/10.5455/2320-1770.ijrcog20150239.

    Article  CAS  Google Scholar 

  20. Aragaw FA, Mahtemsilllasie M, Jarso H. Grand multiparity and pregnancy related complications among women who gave birth at Jimma University specialized hospital, Jimma, Southwest Ethiopia. Gynecol Obstet (Sunnyvale). 2017;7:438. https://doi.org/10.4172/2161-0932.1000438.

    Article  Google Scholar 

  21. Al-Shaikh GK, Ibrahim GH, Fayed AA, Al-Mandeel H. Grand multiparity and the possible risk of adverse maternal and neonatal outcomes: a dilemma to be deciphered. BMC Pregnancy Childbirth. 2017;17:310. https://doi.org/10.1186/s12884-017-1508-0.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Al-Farsi YM, Brooks DR, Werler MM, Cabral HJ, Al-Shafei MA, Wallenburg HC. Effect of high parity on occurrence of anemia in pregnancy: a cohort study. BMC Pregnancy Childbirth. 2011;11:7 https://doi.org/10.1186/1471-2393-11-7.

    Article  Google Scholar 

  23. Araneta MRG, Barrett-Connor E. Grand multiparity is associated with type 2 diabetes in Filipino American women, independent of visceral fat and adiponectin. Diabetes Care. 2010;33:385–9. https://doi.org/10.2337/dc09-1477.

    Article  PubMed  CAS  Google Scholar 

  24. Lahti M, Eriksson JG, Heinonen K, Kajantie E, Lahti J, et al. Maternal grand multiparity and the risk of severe mental disorders in adult offspring. PLoS One. 2014;9(12):e114679. https://doi.org/10.1371/journal.pone.0114679.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  25. Teguete I, Maiga AW, Leppert PC. Maternal and neonatal outcomes of grand multiparas over two decades in Mali. Acta Obstet Gynecol Scand. 2012;91:580–6. https://doi.org/10.1111/j.1600-0412.2012.01372.x.

    Article  PubMed  Google Scholar 

  26. Roman H, Robillard P-Y, Verspyck E, Hulsey TC, Marpeau L, Barau G. Obstetric and neonatal outcomes in grand multiparity. Obstet Gynecol. 2004;103(6):1294–9. https://doi.org/10.1097/01.AOG.0000127426.95464.85.

    Article  PubMed  Google Scholar 

  27. Njeru JN, Biryabarema C, Kagawa M. Maternal outcomes among grand multiparous and multiparous women in Mulago hospital. Uganda East African Medical Journal. 2011;88(6):198–202.

    Google Scholar 

  28. Parveen T, Iqbal T, Kausar T. Grand multiparity and its obstetrical complications at Bahawal Victoria Hospital Bahawalpur. Pakistan journal of medical and health. Science. 2014;8(3):706–8.

    Google Scholar 

  29. Health Communication Capacity Collaborative. Qualitative Research on Advanced Maternal Age and High Parity Pregnancies in West Africa Baltimore, USA: Health Communication Capacity Collaborative, Johns Hopkins Center for Communication Programs; 2016.

  30. Idoko P, Nkeng G, Anyawu M. Reasons for current pregnancy amongst grand multiparous Gambian women – a cross sectional survey. BMC Pregnancy Childbirth. 2016;16:217. https://doi.org/10.1186/s12884-016-1016-7.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Hollos M, Larsen U, Obono O, Whitehouse B. The problem of infertility in high fertility populations: meanings, consequences and coping mechanisms in two Nigerian communities. Soc Sci Med. 2009;68:2061–8. https://doi.org/10.1016/j.socscimed.2009.03.008.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Ofole NM. Psychosocial and cultural analysis of childlessness and its implications on women emancipation in south western Nigeria: the counseling perspective. Afr J Psychol Study Soc Issues. 2014;17(2):50–7.

    Google Scholar 

  33. Aduloju PO, Olagbuji NB, Olofinbiyi AB, Awoleke JO. Prevalence and predictors of intimate partner violence among women attending infertility clinic in South-Western Nigeria. Eur J Obstet Gynecol Reprod Biol. 2015;188:66–9 https://doi.org/10.1016/j.ejogrb.2015.02.027.

    Article  Google Scholar 

  34. Iliyasu Z, Galadanci HS, Abubakar S, Auwal MS, Odoh C, Salihu HM, Aliyu MH. Phenotypes of intimate partner violence among women experiencing infertility in Kano, Northwest Nigeria. Int J Gynecol Obstet. 2016;133:32–6 https://doi.org/10.1016/j.ijgo.2015.08.010.

    Article  Google Scholar 

  35. Dimka RA, Dein SL. The work of a woman is to give birth to children: cultural constructions of infertility in Nigeria. Afr J Reprod Health. 2013;17(2):102–17.

    PubMed  Google Scholar 

  36. Ibisomi L, Mudege NN. Childlessness in Nigeria: perceptions and acceptability. Cult Health Sex. 2014;16(1):61–75. https://doi.org/10.1080/13691058.2013.839828.

    Article  PubMed  Google Scholar 

  37. Bankole A, Sedgh G, Okonofua F, Imarhiagbe C, Hussain R, Wulf D. Barriers to safe motherhood in Nigeria. New York: Guttmacher Institute; 2009.

    Google Scholar 

  38. Izugbara CO, Women EAC. High fertility in Islamic northern Nigeria. Stud Fam Plan. 2010;41(3):193–204.

    Article  Google Scholar 

  39. Umeora OJ, Nzerem UN, Eze JN. What drives grand multiparous women in rural Nigeria to seek treatment for infertility. Afr J Med Health Sci. 2013;12:15–9.

    Article  Google Scholar 

  40. Ikeako LC, Nwajiaku L. Grandmultiparity: experience at Awka. Nigeria Niger J Clin Pract. 2010;13(3):301–5.

    PubMed  CAS  Google Scholar 

  41. Geidam AD, Audu BM, Oummate Z. Pregnancy outcome among grand multiparous women at the University of Maiduguri Teaching Hospital: a case control study. J Obstet Gynaecol. 2011;31(5):404–8. https://doi.org/10.3109/01443615.2011.561383.

    Article  PubMed  CAS  Google Scholar 

  42. Omole-Ohonsi A, Ashimi OA. Grand multiparity: obstetric performance in Aminu Kano teaching hospital, Kano, Nigeria. Niger J Clin Pract. 2011;14(1):6–9. https://doi.org/10.4103/1119-3077.79231.

    Article  PubMed  CAS  Google Scholar 

  43. Afolabi AF, Adeyemi AS. Grand-multiparity: is it still an obstetric risk? Open J Obstet Gynecol. 2013;3:411–5 https://doi.org/10.4236/ojog.2013.34075.

    Article  Google Scholar 

  44. Adeniran AS, Fawole AA, Fakeye OO, Ijaiya MA, Adesina KT. Grandmultiparity: evaluating obstetric and neonatal outcomes after eliminating confounders. Niger Postgrad Med J. 2014;21(1):34–9.

    PubMed  CAS  Google Scholar 

  45. Sedgh G, Hussain R. Reasons for contraceptive nonuse among women having unmet need for contraception in developing countries. Stud Fam Plan. 2014;45(2):151–69.

    Article  Google Scholar 

  46. Austin A. Unmet contraceptive need among married Nigerian women: an examination of trends and drivers. Contraception. 2015;91:31–8 https://doi.org/10.1016/j.contraception.2014.10.002.

    Article  Google Scholar 

  47. Ibrahim G, Rabiu A, Abubakar IS. Knowledge, attitude and practice of contraceptives among grand multiparous women attending antenatal clinic in a specialist hospital, Kano, Nigeria. Niger J Basic Clin Sci. 2015;12:90–4. https://doi.org/10.4103/0331-8540.169277.

    Article  CAS  Google Scholar 

  48. Hounton S, Winfrey W, Barros AJD, Askew I. Patterns and trends of postpartum family planning in Ethiopia, Malawi, and Nigeria: evidence of missed opportunities for integration. Glob Health Action. 2015;8(1):29738 https://doi.org/10.3402/gha.v8.29738.

    Article  Google Scholar 

  49. Akinyemi A, Adedini S, Hounton S, Akinlo A, Adedeji O, Adonri O, et al. Contraceptive use and distribution of high-risk births in Nigeria: a sub-national analysis. Glob Health Action. 2015;8:29745 https://doi.org/10.3402/gha.v8.29745.

    Article  Google Scholar 

  50. Rabiu A, Abubakar IS, Garba I, Haruna IU. Contraceptive choices among grand multiparous women at Murtala Mohammed specialist hospital, Kano. Ann Afr Med. 2016;15:58–62. https://doi.org/10.4103/1596-3519.176203.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Sedgh G, Ashford LS, Hussainet R. Unmet need for contraception in developing countries: examining Women’s reasons for not using a method. New York: Guttmacher Institute; 2016.

    Google Scholar 

  52. Agha S. Intentions to use contraceptives in Pakistan: implications for behavior change campaigns. BMC Public Health. 2010;10:450 https://doi.org/10.1186/1471-2458-10-450.

    Article  Google Scholar 

  53. Meskele M, Mekonnen W. Factors affecting women’s intention to use long acting and permanent contraceptive methods in Wolaita zone, southern Ethiopia: a cross-sectional study. BMC Womens Health. 2014;14:109 https://doi.org/10.1186/1472-6874-14-109.

    Article  Google Scholar 

  54. Gebremariam A, Addissie A. Intention to use long acting and permanent contraceptive methods and factors affecting it among married women in Adigrat town, Tigray. Reprod Health. 2014;11(1):24 https://doi.org/10.1186/1742-4755-11-24.

    Article  Google Scholar 

  55. National Population Commission. National policy on population for sustainable development. Abuja, Nigeria: NPC; 2004.

  56. Federal Ministry of Health. Saving newborn lives in Nigeria: Newborn health in the context of the Integrated Maternal, Newborn and Child Health Strategy 2nd edition. Abuja, Nigeria: FMoH, Save the Children, Jhpiego; 2011.

  57. National Population Commission of Nigeria, Health Policy Project. Nigeria’s 2004 National Policy on Population for Sustainable Development: Implementation Assessment Report. Washington, DC: Futures Group, Health Policy Project; 2015 https://www.healthpolicyproject.com/pubs/821_FINALNPPReport.pdf.

  58. Ajzen I, Fishbein M. Attitude-behavior relations: a theoretical analysis and review of empirical research. Psychol Bull. 1977;84(5):888–918. https://doi.org/10.1037/0033-2909.84.5.888.

    Article  Google Scholar 

  59. Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Processes. 1991;50(2):179–211. https://doi.org/10.1016/0749-5978(91)90020-T.

    Article  Google Scholar 

  60. Ajzen I, Madden TJ. Prediction of goal-directed behavior: attitudes, intentions, and perceived behavioral control. J Exp Soc Psychol. 1986;22(5):453–74. https://doi.org/10.1016/0022-1031(86)90045-4.

    Article  Google Scholar 

  61. Morgan SP, Bachrach CA. Is the theory of planned behaviour an appropriate model for human fertility? Vienna Yearb Popul Res. 2011;9:11–8.

    Article  Google Scholar 

  62. Albarracín D, Johnson BT, Fishbein M, Muellerleile PA. Theories of reasoned action and planned behavior as models of condom use: a meta-analysis. Psychol Bull. 2001;127(1):142–61.

    Article  Google Scholar 

  63. Ajzen I, Klobas J. Fertility intentions: an approach based on the theory of planned behaviour. Demogr Res. 2013;29(8):203–32. https://doi.org/10.4054/DemRes.2013.29.8.

    Article  Google Scholar 

  64. Audu B, Yahya S, Geidam A, Abdussalam H, Takai I, Kyari O. Polygamy and the use of contraceptives. Int J Gynecol Obstet. 2008;101:88–92. https://doi.org/10.1016/j.ijgo.2007.09.036.

    Article  Google Scholar 

  65. Borges ALV, OlaOlorun F, Fujimori E, Hoga LAK, Tsui AO. Contraceptive use following spontaneous and induced abortion and its association with family planning services in primary health care: results from a Brazilian longitudinal study. Reprod Health. 2015;12:94. https://doi.org/10.1186/s12978-015-0087-7.

    Article  PubMed  PubMed Central  Google Scholar 

  66. Che Y, Dusabe-Richards E, Wu S, Jiang Y, Dong X, Li J, et al. A qualitative exploration of perceptions and experiences of contraceptive use, abortion and post-abortion family planning services (PAFP) in three provinces in China. BMC Womens Health. 2017;17:113. https://doi.org/10.1186/s12905-017-0458-z.

    Article  PubMed  PubMed Central  Google Scholar 

  67. Onyishi EI, Sorokowski P, Sorokowska A, Pipitone RN. Children and marital satisfaction in a non-Western sample: having more children increases marital satisfaction among the Igbo people of Nigeria. Evol Hum Behav. 2012;33:771–4 https://doi.org/10.1016/j.evolhumbehav.2012.06.005.

    Article  Google Scholar 

  68. Odu OO, IJadunola KT, Parakoyi DB. Reproductive behaviour and determinants of fertility among men in a semi-urban Nigerian community. Journal of Community Medicine and Primary Health Care. 2005;17(1):13–9.

    Article  Google Scholar 

  69. National Population Commission (NPC) [Nigeria] & ICF International. Nigeria Demographic and Health Survey 2013. Abuja, Nigeria, and Rockville, Maryland, USA: NPC and ICF International; 2014.

  70. OlaOlorun FM, Hindin MJ. Having a say matters: influence of decision making power on contraceptive use among Nigerian women ages 35–49 years. PLoS One. 2014;9(6):e98702. https://doi.org/10.1371/journal.pone.0098702.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  71. Akinyemi JO, Bamgboye EA, Ayeni O. New trends in under-five mortality determinants and their effects on child survival in Nigeria: a review of childhood mortality data from 1990-2008. Afri Popul Stud. 2013;27(1):25–42.

    Google Scholar 

  72. Ezeh OK, Agho KE, Dibley MJ, Hall JJ, Page AN. Risk factors for postneonatal, infant, child and under-5 mortality in Nigeria: a pooled cross-sectional analysis. BMJ Open. 2015;5:e006779. https://doi.org/10.1136/bmjopen-2014-006779.

    Article  PubMed  PubMed Central  Google Scholar 

  73. Dahiru T. First-day and early neonatal mortality in Nigeria: a pooled cross-sectional analysis of Nigeria DHS data. British Journal of Medicine & Medical Research. 2017;19(9):1–12. https://doi.org/10.9734/BJMMR/2017/28247.

    Article  Google Scholar 

  74. Solanke BL. Factors influencing contraceptive use and non-use among women of advanced reproductive age in Nigeria. J Health Popul Nutr. 2017;36(1):1. https://doi.org/10.1186/s41043-016-0077-6.

    Article  PubMed  PubMed Central  Google Scholar 

  75. National Population Commission (NPC) [Nigeria] & ORC Macro. Nigeria Demographic and Health Survey 2003. Calverton, Maryland: NPC and ORC Macro; 2004.

  76. National Population Commission (NPC) [Nigeria] & ICF Macro. Nigeria Demographic and Health Survey 2008. Abuja, Nigeria: NPC and ICF Macro; 2009.

  77. StataCorp. Stata: Release 14. Statistical Software. College Station, TX: StataCorp LP;2015.

  78. Akinwande O, Dikko HG, Samson A. Variance inflation factor: as a condition for the inclusion of suppressor variable(s) in regression analysis. Open J Statistics. 2015;5:754–67 https://doi.org/10.4236/ojs.2015.57075.

    Article  Google Scholar 

  79. Bezircioglu I, Goral NY, Baloglu A, Baydar Y. The effect of grand multiparity on maternal, obstetric, fetal and neonatal outcomes. Perinatal Journal. 2013;21(1):17–22. https://doi.org/10.2399/prn.13.0211012.

    Article  Google Scholar 

  80. Qamar A, Asif U, Qamar S. Maternal and Fetal Outcome in Grand Multipara. Pak Armed Forces Med J. 2015;65(1):135–40.

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Acknowledgements

The authors are grateful to the National Population Commission (Nigeria), ICF International and MEASURE DHS Project for making the 2003-2013 NDHS datasets available for research.

Funding

Not Applicable.

Availability of data and materials

Data analysed in the study could be accessed online at https://dhsprogram.com.

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Contributions

SSA developed the concept. OOB, BOO, and BLS reviewed literature. BLS analysed the data and interpreted the results. All authors discussed the results, reviewed the manuscript for intellectual content, and proof read manuscript for spelling and grammar. All authors read and approved the final manuscript.

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Correspondence to Bola Lukman Solanke.

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SSA is a Reader, BLS is a Senior Lecturer, OOB is a Lecturer 1 while BOO is a Doctoral Student in the Department of Demography and Social Statistics, Obafemi Awolowo University, Ile-Ife, Nigeria.

Ethics approval and consent to participate

The surveys were approved by the National Health Research Ethics Committee (NHREC/01/01/2007). Informed consent was obtained from participants in the 2003, 2008 and 2013 NDHS. Authorisation to download and analyse the dataset was granted by MEASURE DHS.

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Solanke, B.L., Banjo, O.O., Oyinloye, B.O. et al. Maternal grand multiparity and intention to use modern contraceptives in Nigeria. BMC Public Health 18, 1207 (2018). https://doi.org/10.1186/s12889-018-6130-1

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