FACULTY OF PUBLIC HEALTH

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Author: search.filters.author.Adebowale, A. S.Subject: search.filters.subject.Fertility

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    Dynamics of poverty-related dissimilarities in fertility in Nigeria: 2003-2018
    (Elsevier B.V, 2020) Adebowale, A. S.; Fagbamigbe, A. F.; Akinyemi, J. O.; Olowolafe, T.; Onwusaka, O.; Adewole, D.; Sadikue, S.; Palamuleni, M.
    Nigeria is one of the high fertility countries worldwide. Little is known about the differences in fertility experience of women in poor and rich households in Nigeria. We ex amined the relationship between household wealth and fertility in Nigeria with focus on women from poor and rich households.This national representative and cross-sectional design study involved analysis of fourrounds (2003, 2008, 2013, 2018) of Nigeria Demographic Health and Survey data . Theoutcome variable was fertility measured from the full birth history information reported by women of reproductive age. Data were analyzed using descriptive statistics, direct and Gompertz-relational demographic methods, logistic regression and negative binomial re gression models (α=0.05). Across the survey years, the mean number of children ever born (CEB), the total fer tility rate and the percentage of women who had high fertility were consistently higher among the women from poor households than those from the rich households. From 2003 to 2018, declining pattern (slope = -0.87) in percentage of high fertility women was observed among rich unlike the poor women (slope = +0.31) where a slight increase was observed. In 2018 as for other survey rounds, about 18.7% and 38.4% of rich and poor women had high fertility (CEB≥5) respectively. The likelihood of high fertility (CEB≥5) was 2.74 (C.I=2.60-2.89, p<0.001) times higher among poor women than the rich women. In 2018,the fertility incidence risk ratio was about 8.0% higher among the women from the poo rhouseholds than their counterparts from the rich households and this pattern was observed when some other factors were included in the regression model across the survey years (2003-2018).
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    Current and predicted fertility using poisson regression model: evidence from 2008 nigerian demographic health survey
    (Women's Health and Action Research Centre, 2014) Fagbamigbe, A. F.; Adebowale, A. S.
    Nigeria with persistent high growth rate is among top ten most populous countries. Monitoring key mechanisms of population dynamics particularly fertility in Nigeria is long overdue. Periodical availability of data on fertility and other demographic indices is scarce, hence this study. Our objective was to build a non-linear model to identify fertility determinants and predict fertility using women’s background characteristics. We used 2008 Nigeria Demography and Health Survey dataset consisting of 33,385 women with 31.4% from urban area. Fertility was measured using children ever born (CEB) and fitted into multi-factors additive Poisson regression models. Respondents mean age was 28.64±9.59years, average CEB of 3.13±3.07 but higher among rural women than urban women (3.42±3.16 vs 2.53±2.79). Women aged 20-24years were about twice as likely to have higher CEB as those aged 15-19years (IRR=2.06, 95% CI: 1.95-2.18). Model with minimum deviance was selected and was used to predict CEB by the woman.