ISSN: 2375-379X
Health Sciences Research  
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Community and Individual Level Factors Influencing Modern Contraceptive Use among Married Women in Nigeria
Health Sciences Research
Vol.5 , No. 3, Publication Date: Nov. 27, 2018, Page: 59-68
2022 Views Since November 27, 2018, 492 Downloads Since Nov. 27, 2018
 
 
Authors
 
[1]    

Adegoke Omolola Simiat, Department of Epidemiology and Medical Statistics, University of Ibadan, Ibadan, Nigeria.

 
Abstract
 

The prevalence of contraceptive use is low in Nigeria with wide variations across the different geopolitical zones. Though researchers have devoted considerable attention to the impact of individual-level factors on contraceptive use, less is known about how community characteristics affect contraceptive use in married women. The objective of this study is to assess the effects of community level variables on family planning use among Nigerian married women of reproductive age group (15-49 years). The study is based on data collected from the 2008 Nigeria Demographic and Health Survey (NDHS). Random effects multilevel logistic regression analyses of 23479 married women of reproductive age nested within 888 clusters was carried out to assess the role of selected individual (socio demographic and other family planning related factors) and community level factors (childbearing, wealth index, education, high parity, exposure to family planning messages) in the use of modern contraceptives. The regression model was fitted using the GLLAMM command in STATA-10. Level of significance was at 5%. Contraceptive use was lowest in communities which were poor, have low level of education and those who felt having more than four children was ideal. Overall, the results of this study suggest that contextual factors play an important role in contraceptive use. More attention needs to be paid particularly to contextual factors while formulating family planning policies in Nigeria so as to improve modern contraceptive use.


Keywords
 

Contraceptive Use, Individual-Level Effect, Community-Level Effect, Multilevel Modeling, Nigeria


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