search
for
 About Bioline  All Journals  Testimonials  Membership  News


African Population Studies
Union for African Population Studies
ISSN: 0850-5780
Vol. 32, No. 3, 2018, pp. 4542-4558
Bioline Code: ep18054
Full paper language: English
Document type: Research Article
Document available free of charge

African Population Studies, Vol. 32, No. 3, 2018, pp. 4542-4558

 en Decision making autonomy and fertility behaviour among currently married women in Nigeria.
Banjo, Olufunmilayo O.; Bamiwuye, Olusina S.; Bisiriyu, Luqman A. & Akintayo, Olawunmi

Abstract

Background: Decision-making autonomy as a component of women’s status is a less studied indicator of fertility behaviour in Nigeria.
Data and Methods: The study utilizes the 2013 Nigeria Demographic and Health Survey (NDHS) data to determine women’s characteristics associated with decision-making autonomy and examine the influence of decision-making autonomy on fertility behaviour among currently married women in Nigeria. Relationships between decision-making autonomy and fertility behaviour were examined using Poisson and Binary logistic regressions.
Results: Results showed that, about 60% of currently married women were of low autonomy. Decision-making autonomy was associated with women’s age, age at marriage, level of education, religion, employment status, type of residence and household wealth status. The result further showed that women’s decision-making autonomy was significantly associated with lower number of living children and increased contraceptive use.
Conclusion: The study concludes that women’s decision-making autonomy is an important predictor of fertility behaviour among currently married women in Nigeria.

Keywords
decision-making autonomy; currently married women; fertility behaviour; Nigeria

 
© Copyright 2018 - African Population Studies
Alternative site location: http://www.uaps-uepa.org

Home Faq Resources Email Bioline
© Bioline International, 1989 - 2024, Site last up-dated on 01-Sep-2022.
Site created and maintained by the Reference Center on Environmental Information, CRIA, Brazil
System hosted by the Google Cloud Platform, GCP, Brazil