Changes in Fertility Decline in Rwanda: A Decomposition Analysis

Rutayisire, Pierre Claver; Hooimeijer, Pieter; Broekhuis, Annelet

doi:10.1155/2014/486210

Cited by 17 publications

(21 citation statements)

References 25 publications

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“…This finding points to the need for continued and increased government and international support for quality family planning if sustainable fertility reduction is to be achieved. This finding confirms what numerous studies have declared about contraceptive use significantly driving fertility change [17][18][19]. Women who practiced contraceptive method had lower children than women who did not practice contraceptive use.…”

Section: Discussionsupporting

confidence: 89%

Determinants of Fertility Status Among Reproductive Age Women in Rural Ethiopia: Evidence From 2016 Ethiopian Demographic Health Survey

2019

MTM

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Background: Fertility rate is a significant determinant of population growth worldwide. Global population is growing about 80 million people each year. Ethiopia is one of the most heavily populated countries in the world. Objective: The objective of this study was to assess the major determinants of fertility status among reproductive age women in rural Ethiopia. Methods: The study used 2016 Ethiopian Demographic and Health Surveys data. A total of 8464 rural women aged 15 to 49 years included in the analysis. Poison Regression model was used to determine factors moving fertility status of rural women. Results: The overall average children ever born to women in rural regions were 5.1 children per women. Poisson regression analysis revealed that region, age group of respondents, education level, religion, household wealth index, sex of the head of the household, contraceptive use, age at first birth and mass media were found to be statistically significant factors for fertility rate of women. Conclusion: To reduce the gap of fertility rate between regional women, it is important to renovate different factors. These factors could be access to education, informing about contraceptive use, informing about family planning, enhancing to mass media. Therefore, the government and concerned bodies should plan effective strategies to increase the experience of using contraceptive across the country with transport limited regions. In addition to this, it is important to develop and keep the access of family planning services and the government could also uphold an access of education system for those restricted regions.

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Section: Discussionsupporting

confidence: 89%

Determinants of Fertility Status Among Reproductive Age Women in Rural Ethiopia: Evidence From 2016 Ethiopian Demographic Health Survey

2019

MTM

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“…This decline ranged from a drop of 1.9 children per woman for the poorest in Rwanda between 1992 and 2010, to a 0.1 drop in the number of children per woman in Ethiopia (7.8 in 2000 to 7.7 in 2010) and Senegal (8.2 in 1997 to 8.2 in 2014, with rounding). In the case of Rwanda, Rutayisire et al [23] explore the changing decomposition of this fertility decline over time. They found contraceptive use a driving force in later years, but delayed marriage playing a role in earlier years.…”

Section: Resultsmentioning

confidence: 99%

Inequality in total fertility rates and the proximate determinants of fertility in 21 sub-Saharan African countries

Finlay

Mejía‐Guevara

Akachi³

2018

PLoS ONE

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In this paper, we examine the inequality in the dynamics of the total fertility rate within 21 sub-Saharan African countries by wealth quintiles. We also examine the associated inequality within each country in the proximate determinants of fertility–marriage, contraception, and breastfeeding. Applying Bongaarts’ proximate determinants of fertility framework, for 14/21 countries we analyze, we find that those in the richest wealth quintiles have had a more rapid decline in fertility rates than those in the poorest wealth quintiles. The rapid decline for those in the richest wealth quintiles is attributable to delayed marriage and modest increases in contraceptive use. Although the poorest lag in fertility decline, postpartum abstinence and breastfeeding are the most important factors for them for fertility regulation. Further encouraging maternal health programs that focus on natural methods of fertility regulation will work in favor of the poorest in sub-Saharan Africa in moving through the demographic transition.

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“…The study employed standard (two-component) multivariate decomposition analysis technique, which can be used to analyze differences between two groups or differences between two points in time [19]. Many public health studies used this technique of analysis to identify components of a change over time and identify factors associated with change [20][21][22][23][24][25]. The analysis decomposes the differences in two points of time into two components.…”

Section: Discussionmentioning

confidence: 99%

Determinants of change in long-acting or permanent contraceptives use in Ethiopia; A multivariate decomposition analysis of data from the Ethiopian demographic and health survey

Fekadu¹,

Omigbodun²,

Roberts³

et al. 2020

PLoS ONE

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BackgroundThere has been an increase in the uptake of long-acting or permanent contraceptive methods (LAPMs) in Ethiopia. Identifying the factors associated with this change is important for designing interventions that will further accelerate the uptake. This study was done to identify components of, and factors associated with, changes in the use of LAPMs in Ethiopia. MethodsInformation about 16,336 married or in-union reproductive-age women were extracted from the 2005 and 2016 Ethiopian Demographic and Health Surveys (EDHS). Normalized weighting was used to compensate for disproportionate sampling and non-response in the survey. The two data sets were merged and analyzed using multivariate decomposition analysis. ResultFrom 2005 to 2016, the use of LAPMs increased by 12.0 percentage points. Changes in the characteristics of women (compositional factors) were responsible for nearly 7.0% of the observed difference. Most of the change (92.0%) was attributable to differences in the effects of characteristics. Age, working status, woman's occupation, concordance on the desired number of children between women and their partners, and a visit by health workers in the 12 months before the survey were all significantly associated with the change.

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Changes in Fertility Decline in Rwanda: A Decomposition Analysis

Cited by 17 publications

References 25 publications

Determinants of Fertility Status Among Reproductive Age Women in Rural Ethiopia: Evidence From 2016 Ethiopian Demographic Health Survey

Determinants of Fertility Status Among Reproductive Age Women in Rural Ethiopia: Evidence From 2016 Ethiopian Demographic Health Survey

Inequality in total fertility rates and the proximate determinants of fertility in 21 sub-Saharan African countries

Determinants of change in long-acting or permanent contraceptives use in Ethiopia; A multivariate decomposition analysis of data from the Ethiopian demographic and health survey

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