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The contribution of contraception, marriage and postpartum insusceptibility to fertility levels in Uganda: an application of the aggregate fertility model

BACKGROUND: While recent studies have indicated that fertility has remained high in Uganda, no systematic attempt has been made to identify the factors responsible for this persistent trend and to quantify these factors. This paper uses the Uganda Demographic and Health Surveys (UDHS) of 2006 and 20...

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Autores principales: Rutaremwa, Gideon, Galande, Johnstone, Nviiri, Hellen Laetitia, Akiror, Edith, Jhamba, Tapiwa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5424367/
https://www.ncbi.nlm.nih.gov/pubmed/28620521
http://dx.doi.org/10.1186/s40738-015-0009-y
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author Rutaremwa, Gideon
Galande, Johnstone
Nviiri, Hellen Laetitia
Akiror, Edith
Jhamba, Tapiwa
author_facet Rutaremwa, Gideon
Galande, Johnstone
Nviiri, Hellen Laetitia
Akiror, Edith
Jhamba, Tapiwa
author_sort Rutaremwa, Gideon
collection PubMed
description BACKGROUND: While recent studies have indicated that fertility has remained high in Uganda, no systematic attempt has been made to identify the factors responsible for this persistent trend and to quantify these factors. This paper uses the Uganda Demographic and Health Surveys (UDHS) of 2006 and 2011, to examine the contribution contraceptive use, marriage and postpartum infecundability on one hand and Total Fertility Rate (TFR) on the other. We constructed a database using the Woman’s Questionnaire from the UDHS 2006 and 2011. We then apply Bongaarts aggregate fertility model procedures to derive estimates of total fertility rate for the different socioeconomic groups. RESULTS: The findings indicate that a woman’s contraceptive behavior; marriage status and postpartum infecundability (also referred to as postpartum insusceptibility due to postpartum amenorrhea, which is intended to measure the effects on fertility breastfeeding), are important predictors of fertility outcomes. The results also show that higher education levels and urban residence are consistently associated with lower fertility rates and are positively associated with contraceptive use. Other key predictors of fertility include: wealth status, and region of residence. CONCLUSION: The country needs to scale-up target interventions that are aimed at uplifting the education status of women and improving their economic wellbeing, because such interventions have a positive impact on fertility reduction and on improving maternal and reproductive health outcomes.
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spelling pubmed-54243672017-06-15 The contribution of contraception, marriage and postpartum insusceptibility to fertility levels in Uganda: an application of the aggregate fertility model Rutaremwa, Gideon Galande, Johnstone Nviiri, Hellen Laetitia Akiror, Edith Jhamba, Tapiwa Fertil Res Pract Research Article BACKGROUND: While recent studies have indicated that fertility has remained high in Uganda, no systematic attempt has been made to identify the factors responsible for this persistent trend and to quantify these factors. This paper uses the Uganda Demographic and Health Surveys (UDHS) of 2006 and 2011, to examine the contribution contraceptive use, marriage and postpartum infecundability on one hand and Total Fertility Rate (TFR) on the other. We constructed a database using the Woman’s Questionnaire from the UDHS 2006 and 2011. We then apply Bongaarts aggregate fertility model procedures to derive estimates of total fertility rate for the different socioeconomic groups. RESULTS: The findings indicate that a woman’s contraceptive behavior; marriage status and postpartum infecundability (also referred to as postpartum insusceptibility due to postpartum amenorrhea, which is intended to measure the effects on fertility breastfeeding), are important predictors of fertility outcomes. The results also show that higher education levels and urban residence are consistently associated with lower fertility rates and are positively associated with contraceptive use. Other key predictors of fertility include: wealth status, and region of residence. CONCLUSION: The country needs to scale-up target interventions that are aimed at uplifting the education status of women and improving their economic wellbeing, because such interventions have a positive impact on fertility reduction and on improving maternal and reproductive health outcomes. BioMed Central 2015-10-17 /pmc/articles/PMC5424367/ /pubmed/28620521 http://dx.doi.org/10.1186/s40738-015-0009-y Text en © Rutaremwa et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Rutaremwa, Gideon
Galande, Johnstone
Nviiri, Hellen Laetitia
Akiror, Edith
Jhamba, Tapiwa
The contribution of contraception, marriage and postpartum insusceptibility to fertility levels in Uganda: an application of the aggregate fertility model
title The contribution of contraception, marriage and postpartum insusceptibility to fertility levels in Uganda: an application of the aggregate fertility model
title_full The contribution of contraception, marriage and postpartum insusceptibility to fertility levels in Uganda: an application of the aggregate fertility model
title_fullStr The contribution of contraception, marriage and postpartum insusceptibility to fertility levels in Uganda: an application of the aggregate fertility model
title_full_unstemmed The contribution of contraception, marriage and postpartum insusceptibility to fertility levels in Uganda: an application of the aggregate fertility model
title_short The contribution of contraception, marriage and postpartum insusceptibility to fertility levels in Uganda: an application of the aggregate fertility model
title_sort contribution of contraception, marriage and postpartum insusceptibility to fertility levels in uganda: an application of the aggregate fertility model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5424367/
https://www.ncbi.nlm.nih.gov/pubmed/28620521
http://dx.doi.org/10.1186/s40738-015-0009-y
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