Determinants of fertility differentials in Burundi: evidence from the 2016-17 Burundi demographic and health survey

Nibaruta, Jean Claude; Elkhoudri, Noureddine; Chahboune, Mohamed; Chebabe, Milouda; Saad, Elmadani; Baali, Abdellatif; Amor, Hakima

doi:10.11604/pamj.2021.38.316.27649

Cited by 5 publications

(9 citation statements)

References 21 publications

(34 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The total number of CEB was used as the dependent variable because the total number of CEB of women in the 15 to 49-year-old cohort captured both current and past fertility behavior [ 30 ]. In addition, as this study plans to use a Poisson regression model that is typically used when the dependent variable is a count variable such as the number of CEB [ 21 , 30 ], we considered that the number of CEB would be the most appropriate outcome variable in this study.…”

Section: Methodsmentioning

confidence: 99%

“…Unlike Morocco, Burundi remains among the poorest countries in the world [ 20 ] and the least urbanized with an urbanization rate of 10.6% in 2010 [ 15 ]. The agricultural sector remains traditional and therefore encourages most Burundian couples to give birth to many children given their important role in their parents' farming activities [ 21 ]. Moreover, maternal and child mortality rates are still high despite significant improvements [ 21 , 22 ].…”

Section: Introductionmentioning

confidence: 99%

“…The agricultural sector remains traditional and therefore encourages most Burundian couples to give birth to many children given their important role in their parents' farming activities [ 21 ]. Moreover, maternal and child mortality rates are still high despite significant improvements [ 21 , 22 ]. Significant urban and rural gaps in knowledge of any contraceptive method [ 21 ], unmet need for family planning [ 23 ], and use of modern contraceptives [ 24 ] persist in Burundi.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, maternal and child mortality rates are still high despite significant improvements [ 21 , 22 ]. Significant urban and rural gaps in knowledge of any contraceptive method [ 21 ], unmet need for family planning [ 23 ], and use of modern contraceptives [ 24 ] persist in Burundi. Unlike Morocco, Burundi is a predominantly Christian country [ 22 ].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Heterogeneous effects of socio-economic and cultural factors on fertility differentials in Burundi and Morocco during their fertility transition periods: a retrospective, cross-sectional and comparative study

Nibaruta¹,

Kamana²,

Chahboune³

et al. 2023

Pan Afr Med J

View full text Add to dashboard Cite

Introduction few studies have examined the factors influencing fertility differentials and the variation in their effects in countries with different socioeconomic and cultural backgrounds and different fertility transition paces. To address this gap, our study sought to first identify the factors that influenced fertility differentials in Morocco and Burundi during their fertility transition periods, and then to compare the effects of these factors between the two countries. Methods using data from the 2003-4 Morocco and 2010 Burundi Demographic and Health Surveys, bivariable and multivariable Poisson regression analyses offset by the natural logarithm of the women´s age were performed to identify the socioeconomic and cultural factors that influenced fertility differentials in Morocco and Burundi during their fertility transition. Results our main findings showed that the total number of children ever born ranged from 0 to 17 with a mean of 2.71 ± 2.89 in Burundi and from 0 to 16 with a mean of 1.88 ± 2.80 in Morocco. In Burundi, both socioeconomic and cultural factors like rural residence adjusted incident rate ratio (AIRR) = 1.159, 95% CI: 1.103 - 1.217, P=0.020), women´s illiteracy (AIRR=1.465, 95% CI: 1.241- 1.729, P <0.001) and agricultural profession (AIRR=1. 332, 95% CI: 1.263 - 1.401, P = 0.004), household poverty (AIRR= 1.381, 95% CI: 1.223 - 1.431, p<0.001), infant mortality (AIRR= 1.602, 95% CI: 1.562 - 1.643, p<0.001), early marriage (AIRR= 1.313, 95% CI: 1.264 - 1.364, p<0.001), lack of knowledge of any contraceptives (AIRR= 1.263, 95% CI: 1.125 - 1.310, p = 0.003) and failure to use modern contraceptives (AIRR= 1.520, 95% CI: 1.487 - 1.611, p<0.001) were associated with high number of children ever born. However, in Morocco socioeconomic factors like residence place, women´s agricultural profession and household poverty were not significant. In this country, women´s illiteracy (AIRR=1.428, 95% CI: 1.315 - 1.551, P <0.001), lack of access to mass media (AIRR= 1.241, 95% CI: 1.108 - 1.375, p = 0.006), infant mortality (AIRR=1.222, 95%CI: 1.184 - 1.361, p<0.001), early marriage (AIRR1.481, 95% CI: 1.435 - 1.529, p<0.001), lack of knowledge of any contraceptives (AIRR1.508, 95% CI: 1.409 - 1.613, p<0.001) and failure to use modern contraceptives (AIRR1.745, 95% CI: 1.627 - 1.863, p<0.001) were associated with high fertility but with different effects than in Burundi. Conclusion the evidence from this study suggests that interventions to accelerate the fertility transition processes in Burundi and many other countries with slow fertility transitions should be designed and implemented according to each country's local context.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Heterogeneous effects of socio-economic and cultural factors on fertility differentials in Burundi and Morocco during their fertility transition periods: a retrospective, cross-sectional and comparative study

Nibaruta¹,

Kamana²,

Chahboune³

et al. 2023

Pan Afr Med J

View full text Add to dashboard Cite

show abstract

“…High fertility, defined as having five or more children, in sub-Saharan Africa is associated with low use of contraception, increased unmet need for family planning, an increase in preference for larger families, an increase in adolescent fertility [ 8 , 9 ] and a disruption of female education [ 10 ]. On the other hand, previous studies have shown that socioeconomic factors such as urban residence, increase in education for both women and men, no history of infant mortality experience, and increase in age at first sexual intercourse, first birth or marriage have been associated with low fertility [ 11 – 13 ]. According to Bongaarts(1978), age at first marriage is considered an important proximate determinant of fertility [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

Trends and factors associated with declining lifetime fertility among married women in Kenya between 2003 and 2014: an analysis of Kenya demographic health surveys

et al. 2023

View full text Add to dashboard Cite

Background Globally, fertility has declined in the last three decades. In sub-Saharan Africa Including Kenya, this decline started more recent and at a slower pace compared to other regions. Despite a significant fertility decline in Kenya, there are disparities in intra- and interregional fertility. Reduction in lifetime fertility has health benefits for both the mother and child, thus it is important to improve women and children health outcomes associated with high fertility. The study, therefore evaluated the factors associate with change in lifetime fertility among married women of reproductive age in Kenya between 2003 and 2014. Methods The study used the Kenya Demographic and Health Survey (KDHS) datasets of 2003, 2008 and 2014. Analysis of variance (ANOVA) was used to calculate the mean number of children ever born and to assess the change in fertility across different factors. Poisson regression model with robust standard errors was used to study the relationship between number of children ever born (lifetime fertility) and independent variables. A Poisson-based multivariate decomposition for the nonlinear response model was performed to identify and quantify the contribution of demographic, socioeconomic and reproductive correlates, to the change in lifetime fertility between 2003 and 2014. Results The study included 3,917, 4,002, and 7,332 weighted samples of women of reproductive age in 2003, 2008, and 2014, respectively. The mean number of children born declined from 3.8 (95% CI: 3.6–3.9) in 2003 to 3.5 (95% CI: 3.4–-3.7) in 2008 and 3.4 (95% CI: 3.3–3.4) in 2014 (p = 0.001). The expected number of children reduced with the age at first sexual intercourse, the age at first marriage across the survey years, and household wealth index. Women who had lost one or more children in the past were likely to have increased number of children. The changes in the effects of women’s characteristics between the surveys explained 96.4% of the decline. The main contributors to the change in lifetime fertility was the different in women level of education. Conclusion The lifetime fertility declined by one-tenth between 2003 and 2014; majorly as a result of the effects of characteristics of women in terms of level of education. These highlights a need to implement education policies that promotes women education focuses on gender equality and women empowerment. Continuous strengthening of the healthcare systems (access to quality antenatal care, skilled delivery, and postpartum care) to reduce child mortality is essential.

show abstract

Prevalence, trend and determinants of adolescent childbearing in Burundi: a multilevel analysis of the 1987 to 2016–17 Burundi Demographic and Health Surveys data

Nibaruta

Kamana

Chahboune

et al. 2022

BMC Pregnancy Childbirth

Self Cite

View full text Add to dashboard Cite

Background Very little is known about factors influencing adolescent childbearing despite an upward trend in adolescent childbearing prevalence in Burundi, and its perceived implications on the rapid population growth and ill-health of young mothers and their babies. To adress this gap, this study aimed to examine the prevalence, trends and determinants of adolescent childbearing in Burundi. Methods Secondary analyses of the 1987, 2010 and 2016–17 Burundi Demographic and Health Surveys (BDHS) data were conducted using STATA. Weighted samples of 731 (1987 BDHS), 2359 (2010 BDHS) and 3859 (2016-17BDHS) adolescent girls aged 15–19 years old were used for descriptive and trend analyses. Both bivariable and multivariable two-level logistic regression analyses were performed to identify the main factors associated with adolescent childbearing using only the 2016–17 BDHS data. Results The prevalence of adolescent childbearing increased from 5.9% in 1987 to 8.3% in 2016/17. Factors such as adolescent girls aged 18–19 years old (aOR =5.85, 95% CI: 3.54–9.65, p < 0.001), adolescent illiteracy (aOR = 4.18, 95% CI: 1.88–9.30, p < 0.001), living in poor communities (aOR = 2.19, 95% CI: 1.03–4.64, p = 0.042), early marriage (aOR = 9.28, 95% CI: 3.11–27.65, p < 0.001), lack of knowledge of any contraceptive methods (aOR = 5.33, 95% CI: 1.48–19.16, p = 0.010), and non-use of modern contraceptive methods (aOR = 24.48, 95% CI: 9.80–61.14), p < 0.001) were associated with higher odds of adolescent childbearing. While factors such as living in the richest household index (aOR = 0.52, 95% IC: 0.45–0.87, p = 0.00), living in West region (aOR = 0.26, 95%CI: 0.08–0.86, p = 0.027) or in South region (aOR = 0.31, 95% CI: 0.10–0.96, p = 0.041) were associated with lower odds of adolescent childbearing. Conclusion Our study found an upward trend in adolescent childbearing prevalence and there were significant variations in the odds of adolescent childbearing by some individual and community-level factors. School-and community-based intervention programs aimed at promoting girls’ education, improving socioeconomic status, knowledge and utilization of contraceptives and prevention of early marriage among adolescent girls is crucial to reduce adolescent childbearing in Burundi.

show abstract

Determinants of fertility differentials in Burundi: evidence from the 2016-17 Burundi demographic and health survey

Cited by 5 publications

References 21 publications

Heterogeneous effects of socio-economic and cultural factors on fertility differentials in Burundi and Morocco during their fertility transition periods: a retrospective, cross-sectional and comparative study

Heterogeneous effects of socio-economic and cultural factors on fertility differentials in Burundi and Morocco during their fertility transition periods: a retrospective, cross-sectional and comparative study

Trends and factors associated with declining lifetime fertility among married women in Kenya between 2003 and 2014: an analysis of Kenya demographic health surveys

Prevalence, trend and determinants of adolescent childbearing in Burundi: a multilevel analysis of the 1987 to 2016–17 Burundi Demographic and Health Surveys data

Contact Info

Product

Resources

About