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Current and predicted fertility using poisson regression model: evidence from 2008 nigerian demographic health survey

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...

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Published: 2014
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LEADER 00000njm a2000000a 4500
001 oai:repository.ui.edu.ng:123456789/13014
042 |a dc 
720 |a Fagbamigbe, A. F.  |e author 
720 |a Adebowale, A. S.  |e author 
260 |c 2014 
520 |a 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. 
024 8 |a 2141-3606 
024 8 |a ui_art_fagbamigbe_current_2014 
024 8 |a African Journal of Reproductive Health 18 (1), pp. 71-83 
024 8 |a https://repository.ui.edu.ng/handle/123456789/13014 
653 |a Fertility 
653 |a Incidence rate ratio 
653 |a Poisson prediction 
653 |a children ever born 
653 |a Nigeria 
245 0 0 |a Current and predicted fertility using poisson regression model: evidence from 2008 nigerian demographic health survey