Spatial patterns and determinants of fertility levels among women of childbearing age in Nigeria

Alaba, Oluwayemisi Oyeronke; Olubusoye, Olusanya E.; Olaomi, J O

doi:10.1080/20786190.2017.1292693

Cited by 41 publications

(54 citation statements)

References 20 publications

(25 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This study showed that the number of children from poor households was higher than children from rich households, and this is in agreement with other studies [11,15,25]. This may indicate that parents in poor households use children as a source of income.…”

Section: Discussionsupporting

confidence: 93%

“…According to the result, parental education level is an important socio-economic predictor of fertility, that is, fertility rate decreases with increase in parental education level. This result in lined with the previous study, the higher level of maternal and husbands education, the lower fertility [11,12,14,16,22,24,25].…”

Section: Discussionsupporting

confidence: 92%

“…So, understanding the factors responsible for the fertility level would help in designing strategies to effectively implement any program to tackle uncontrolled fertility. The common factors associated with fertility were (residence, wealth index, education of mother and father, working status mother, region, religion and age at first birth, use of contraception, family size and child death) [11][12][13][14][15]. However, previous studies in Ethiopia have done small geographical areas like regional level as well as district area and limited number of variables [12,13,[16][17][18][19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Determinants of High Fertility Rate among Married Women in Ethiopia

Muche¹,

Gebremichael²

2020

Preprint

View full text Add to dashboard Cite

Background: Fertility is one the major components of changing the population size and structure over time. Hence, this study aims to identify the socioeconomic and demographic factors associated with the high fertility rate among married women in Ethiopia Method: Ethiopian demography and health survey of 2016 data were accessed and used for the analysis. A total of 9602 married women were included in the study. Poisson regression models were employed by considering the number of children ever born (count) as a response variable. Results: A total of 9602 married women were included and 907 (9.4%) of the mothers have not born a child in their life time and only 307 (3.2%) of them have born more than 9 children. Rich women (IRR =0.794; 95%CI: 0.685, 0.920, secondary and above education of women (IRR =0.602; 95%CI: 0.570, 0.635), secondary and above education level of husbands’ (IRR =0.917; 95%CI: 0.880, 0.955) and late marriage (IRR =0.853; 95%CI: 0.832, 0.873) were found significantly associated with low level of fertility rate. Small family size (IRR =2.23.; 95%CI: 2.168, 2.294) and being child death experience (IRR =1.636; 95%CI: 1.601, 1.672) were also showed statistically significant association with high level of fertility rate. Conclusion: The government should focus on providing better access to education, increasing the coverage of family planning service and improving sources of income. Furthermore, the society should be made aware on consequences of high fertility on the child and maternal health, household economy, human capital investment and environmental degradation.

show abstract

Section: Discussionsupporting

confidence: 93%

Section: Discussionsupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Determinants of High Fertility Rate among Married Women in Ethiopia

Muche¹,

Gebremichael²

2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Fertility behavior has been found to have a spatial dimension and varies among places and between urban and rural areas across the world (Kulu and Boyle, 2009;Kulu, 2013;Fiori et al, 2014;Odimegwu and Adedini, 2017;Jung et al, 2019). The situation is not different in Nigeria where it has further been shown to vary among different ethnic groups (Odimegwu, 1999;Ushie et al, 2011;Mberu and Reed, 2014;Odimegwu et al, 2014;Alaba et al, 2017;Adebowale, 2019). For instance, when expressed in terms of total fertility rates (TFR), the fertility pattern in rural Nigeria is 5.9 births while it is 4.5 in the urban centers (National Population Commission (NPC) [Nigeria] and ICF, 2019).…”

Section: Introductionmentioning

confidence: 99%

Ethnic fertility behavior and internal migration in Nigeria: revisiting the migrant fertility hypotheses

Odimegwu

Adewoyin

2020

Genus

View full text Add to dashboard Cite

Fertility patterns in Nigeria are high and widely skewed away from the targets of the country's population policy. As population growth is fueled by natural increase and migration, and with spatial disparities in fertility preferences among the different ethnic groups in Nigeria, this study investigates the fertility behavior of ethnic migrants in their destinations, the place-effects on such behavior, and the convergence or otherwise of the behavior with fertility behaviors in the migrants' places of origin and destination. Explanations for the behavioral pattern are provided in the hypotheses of migrant fertility and in the sociodemographic confounders of the behavior. Study data was extracted for the three major ethnic groups in Nigeria from the Nigerian Demographic and Health Survey. Median numbers of children ever born (CEB) were 7, 6, and 4 for the Hausa-Fulani, Igbo, and Yoruba ethnic groups respectively. Relative to the destination fertility patterns, Hausa-Fulani and Yoruba migrants had lower CEB in Igboland while Igbo and Yoruba migrants recorded lower CEB in the North-West home of the Hausa-Fulani ethnic group. Whereas the Igbo migrants maintained an equal CEB with their Yoruba hosts, the Hausa-Fulani group replicated their home fertility behavior in Yorubaland. Overall, the adaptation, socialization, and selectivity hypotheses were found valid for some of the disparities in migrant fertility behavior and the influence of the sociodemographic predictors of fertility behavior varied among the different ethnic groups.

show abstract

“…Alaba, Olubusoye and Olaomi [2] used the geoaditive Bayesian model based on Negative Binomial distribution as a measure of overdispersion to investigate the spatial determinants of fertility differentials in Nigeria. Majumder and Ram [23] investigated the role of proximate determinants on fertility decline among poor and non-poor in Asian countries.…”

Section: Introductionmentioning

confidence: 99%

An Analysis of the Determinants of Fertility Differentials Amongst the Poorest Women Population in Kenya

Mutwiri¹

2019

IJSDA

View full text Add to dashboard Cite

Fertility is one of the major elements in population dynamics that has the highest significant contribution towards population size and structure in the world. In Kenya, fertility levels have been on the decline from approximately 8.1 children in 1979 to 3.9 children in 2014 but still, it is considered high compared to the country's target of 2.6 by 2030. This has potentially negative consequences to the economic growth and development of a country. The main objective of this study is to determine demographic, socio-economic and cultural factors that explain fertility differential among poor women of childbearing age. A binary logistic regression model was fitted to DHS 2014 data using SPSS Version16. The total number of women in childbearing age is based on 7,262 women who have at least one child and whose age ranges from 15 to 49 years. The majority of women were married 4685 (64.5%), followed by never and formally married 1522 (21.0%) and living with partner 1055 (14.5%) respectively). In the analyses, all the variables Region, women educational level, marital status, age at first marriage and age in 5-years group were found to have a significant effect on the total number of children ever born at a significance level of 5%. From the fitted logistic regression model, the estimated odds ratio for the variable region reference category is Nyanza/Western region. The value of the odds ratio exp(β) =1.060775, for the region that the odds of having TCEB greater than or equals to five children for the North Eastern region has 6.0775% more than women in Nyanza/Western Region (OR=1.060775, C.I=0.873716-1.287883) and its effect is statistically significant.

show abstract

Spatial patterns and determinants of fertility levels among women of childbearing age in Nigeria

Cited by 41 publications

References 20 publications

Determinants of High Fertility Rate among Married Women in Ethiopia

Determinants of High Fertility Rate among Married Women in Ethiopia

Ethnic fertility behavior and internal migration in Nigeria: revisiting the migrant fertility hypotheses

An Analysis of the Determinants of Fertility Differentials Amongst the Poorest Women Population in Kenya

Contact Info

Product

Resources

About