Sex Preference, Religion and Ethnicity Roles in Fertility Among Women of Childbearing Age in Nigeria: Examining the Links Using Zero-Inflated Poisson Regression Model

Stephen, Adebowale Ayo; Asa, Soladoye,; Abe, John Olugbenga; Oyinlola, Funmilola F.

doi:10.5539/ijsp.v8n6p91

Cited by 7 publications

(9 citation statements)

References 4 publications

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“…Thus, the national estimate of mCEB was inflated by the Hausa/Fulani Muslim childbearing practices. These findings are consistent with the outcome of studies conducted among Nigerian women [ 11 , 12 ]. Strong adherence to the tenets of religious and ethnic groups in Nigeria may be a possible reason for our findings.…”

Section: Discussionsupporting

confidence: 92%

“…Time spent on schooling and contraceptive adoption are other possible explanations for this difference. The higher fertility found among Igbo Christians than Yoruba Muslim men in monogamous families cannot be isolated from a high preference for a male child and low uptake of modern contraceptives among the Igbo ethnic group [ 10 – 12 ].…”

Section: Discussionmentioning

confidence: 99%

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Religion and ethnicity interaction as a predictor of male fertility in Nigeria: Evidence from a national representative sample

Adebowale,

Palamuleni

2024

PLoS ONE

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High fertility constitutes a challenge to men’s health conditions in Nigeria, a low-income country. Religion and ethnicity are central to the current Male Fertility (MF) level in Nigeria. This study determined the relationship between Male Fertility (MF) and Religion Ethnic Interaction (REI) amidst other socio-demographic characteristics in Nigeria. Nigeria Demographic and Health Survey data, 2018 was used. Men aged 15–59 years [n = 8,786] were sampled using a multi-stage approach. Fertility was measured by the number of Children Ever Born (CEB). REI was generated using the combination of religion and ethnic groups; Hausa/Fulani Muslim, Igbo Christian, Yoruba Christian, and Yoruba Muslim. However, Hausa/Fulani Christians and Igbo Muslims were excluded from this study because a few men in these categories were available in the original sample. Weighted data were analyzed using the Negative Binomial (NB) model (α0.05). The mean age and CEB of the men were 32.9±12.0 years and 3.18±4.4 respectively. The mean CEB among men aged 45–59 years was highest among Hausa/Fulani Muslims (x = 11.57±5.98), but least among Yoruba Christians (x = 4.44±2.67). About 33.4% of the Hausa/Fulani Muslims had had ≥5 children, while 13.7% were reported among the Yoruba Christian men (p<0.001). The fertility Incidence Rate Ratio (IRR) was higher among Hausa/Fulani Muslims, but less among Igbo Christians, and Yoruba Christians than Yoruba Muslims. Restricting the analyzed data to only monogamous men revealed no significant differences in the fertility IRR of Yoruba Christians and Yoruba Muslims, but the fertility IRR was significantly higher among the Hausa/Fulani Muslims than Yoruba Muslims. A disparity exists in MF across the REI groups with the Hausa/Fulani Muslims being the major contributors to high MF. Therefore, bridging the gap in access to fertility control measures and programmes that might have resulted from religion and ethnic differences will reduce male fertility level in Nigeria.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Religion and ethnicity interaction as a predictor of male fertility in Nigeria: Evidence from a national representative sample

Adebowale,

Palamuleni

2024

PLoS ONE

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“…By ethnic group classifi cation, the Hausa/Fulani had the highest TFR (8.4), while Muslim women had the highest TFR (7.8) compared to other religious groups. While the Hausa/Fulani women were recorded as the group with higher TFR, this was followed by Igbo women compared to the Yoruba women (Ayo Stephen et al 2019). Also, among the southeast Nigerian states, Enugu state (the location of Eha-Amufu) is one of the states in the region with higher TFR (NDHS 2018); this is not unconnected with the mixed religion in the area and proximity to a high fertility region (North Central) and the state with highest TFR in the region of the southeast (Ebonyi state).…”

Section: Background: Fertility Rate In Nigeria and The Role Of Womenmentioning

confidence: 93%

“…Meanwhile, a study by Ayo Stephen et al (2019), which focused on the three major ethnic groups in Nigeria, revealed the unseen, complex nature of fertility rates in Nigeria in connection with other variables. According to their fi ndings, the combination of the current TFR of the Igbo, Yoruba and Hausa/Fulani refi ned is 6.3.…”

Section: Background: Fertility Rate In Nigeria and The Role Of Womenmentioning

confidence: 99%

Rural Small-Scale Women Farmers and Preference for Family Size in South-East Nigeria

Okafor

Onu

Nwaeze

2021

CPoS

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Among other things, fertility control in Nigeria may not be feasible without recourse to socioeconomic issues such as micro-occupation classification and dominant family cultural traditions facing women and their relationship to fertility behaviour. Rural small-scale women farmers are a relatively closed group with some uniqueness for the understanding of the value of children (VOC) in socioeconomic and cultural contexts and its relationship with fertility behaviour in developing nations. This study, guided by the VOC model, focuses on determining factors for preference for family size (0-4 children) among rural small-scale women farmers in Eha-Amufun in Enugu state. 200 married women (mean age = 33.9; mean age at marriage = 24.5) from 20 agricultural co-operative societies were selected for the study. The study adopted a survey and quantitative research design. Besides the sociodemographic information of the study participants, the study elicited from the respondents information on their choice of family size, the connection of family size with their occupation and the circumstances surrounding son preference and son adoption in the family and rural contexts. The collected data were analysed using the ordinal logistic regression model. The findings show that economic independence, son preference and male child adoption negates limiting family sizes to 0-4 (p<.05) however, age, formal education, children as source of labour and economic independence were positively correlated with the desire for a family size of 4 children and above. In view of the limitations of the study and the ability of the VOC model to unveil spurious factors for fertility behaviour among women, there is a need for comparative studies of rural closed groups in developing nations and their fertility behaviour.Among other things, fertility control in Nigeria may not be feasible without recourse to socioeconomic issues such as micro-occupation classification and dominant family cultural traditions facing women and their relationship to fertility behaviour. Rural small-scale women farmers are a relatively closed group with some uniqueness for the understanding of the value of children (VOC) in socioeconomic and cultural contexts and its relationship with fertility behaviour in developing nations. This study, guided by the VOC model, focuses on determining factors for preference for family size (0-4 children) among rural small-scale women farmers in Eha-Amufun in Enugu state. 200 married women (mean age = 33.9; mean age at marriage = 24.5) from 20 agricultural co-operative societies were selected for the study. The study adopted a survey and quantitative research design. Besides the sociodemographic information of the study participants, the study elicited from the respondents information on their choice of family size, the connection of family size with their occupation and the circumstances surrounding son preference and son adoption in the family and rural contexts. The collected data were analysed using the ordinal logistic regression model. The findings show that economic independence, son preference and male child adoption negates limiting family sizes to 0-4 (p<.05) however, age, formal education, children as source of labour and economic independence were positively correlated with the desire for a family size of 4 children and above. In view of the limitations of the study and the ability of the VOC model to unveil spurious factors for fertility behaviour among women, there is a need for comparative studies of rural closed groups in developing nations and their fertility behaviour.

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“…In Nigeria, many factors such as ethnicity, religion, education, age at first birth e.t.c. have been identified as fertility predictors [43]. However, in practice, no single factor can explain the fertility behavior of a particular country [17].…”

Section: Introductionmentioning

confidence: 99%

Proximate Determinants and Decomposition of Changes in Fertility Levels in Nigeria, 2003-2018

Olowolafe¹,

Adebowale²,

Fagbamigbe³

et al. 2020

Preprint

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BackgroundThere is disparity in fertility level across the six geopolitical zones in Nigeria. Deeper uunderstanding about the drivers of fertility trends are necessary to prioritize zonal specific strategies for fertility reduction in Nigeria. Thus, this study examined the proximate determinants (PDs) of fertility and decomposed the change in its level across the six geo-political zones in Nigeria.MethodData from Nigeria Demographic and Health Surveys of 2003 and 2018 were analyzed. Fertility data were based on the report of full birth history from women of reproductive age. The Revised Bongaarts framework was used to estimate PDs and fertility levels. The contribution of each PDs to the observed changes in fertility levels was quantified using Das Gupta’s five- factor decomposition method.ResultAcross the zones, there was a change in the fertility inhibiting effect of Contraception (Cc) between 2003 and 2018. The fertility inhibiting effect of Postpartum Infecundability (Ci) and Abortion was the highest and smallest respectively across the zones. The Total fertility rate (TFR) in 2003 and 2008 across the zones are South-South (5.04 vs 4.36), South-West (4.88 vs 4.26), North West (7.25 vs 6.85), North East (6.87 vs 6.54), North Central (5.72 vs 5.48), South East (5.06 vs 4.86), Nigeria (6.00 vs 5.59). Delayed sexual exposure (Cm) and contraceptive use (Cc) contributed the most to the change across the regions. The percentage contribution of Cm in South-South, South West, and South East was 87.04%, 52.89%, and 172.85% respectively. Furthermore, most of the fertility change observed in North Central was attributable to Cc.ConclusionAbortion index was not an important inhibiting factor of fertility in Nigeria. Delayed sexual exposure and contraceptive use accounted for the largest change observed in fertility levels across the six geo-political zones in Nigeria between 2003 and 2018. Strategies that promote delayed sexual exposure, contraceptive use and breast feeding practices will enhance fertility transition in Nigeria.

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Sex Preference, Religion and Ethnicity Roles in Fertility Among Women of Childbearing Age in Nigeria: Examining the Links Using Zero-Inflated Poisson Regression Model

Cited by 7 publications

References 4 publications

Religion and ethnicity interaction as a predictor of male fertility in Nigeria: Evidence from a national representative sample

Religion and ethnicity interaction as a predictor of male fertility in Nigeria: Evidence from a national representative sample

Rural Small-Scale Women Farmers and Preference for Family Size in South-East Nigeria

Proximate Determinants and Decomposition of Changes in Fertility Levels in Nigeria, 2003-2018

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