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      The Analysis of Socio-Economic and Demographic Factors Associated with Contraceptive Use Among Married Women of Reproductive Age in Rwanda

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      The Open Public Health Journal
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          Abstract

          Background:

          Contraceptive use is seen as pivotal for protecting women’s health and rights, influencing fertility and population growth, and helping to promote economic development. The main objective of this study was to identify the socio-economic and demographic factors associated with contraceptive use among married women of childbearing age in Rwanda.

          Methods:

          The current study used survey logistic regression model in order to account for the complexity of sampling design and heterogeneity between the observations from the same cluster. The 2014/2015 Rwanda Demographic and Health Survey data was used as application.

          Results:

          The findings from this study revealed that education level of the woman, wealth quintile of the household, woman’s province of residence, woman’s age at first cohabitation, current age of the respondent, woman’s working status, number of living children, husband’s desire for more children compared to the wife or partner, religious affiliation, health facilities, exposure to contraceptive information in media and by family planning workers, and current age of husband or partner were significant determinants of contraceptive use among ever married women of reproductive age.

          Conclusion:

          The findings from this study suggest improvement of exposure to the information of contraceptive use in health centres, empowerment of women for access to quality contraceptive use services and religious affiliation to play an important role to explain and inform their adherents on the importance of using a contraceptive method.

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          Most cited references15

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          Family planning: the unfinished agenda.

          Promotion of family planning in countries with high birth rates has the potential to reduce poverty and hunger and avert 32% of all maternal deaths and nearly 10% of childhood deaths. It would also contribute substantially to women's empowerment, achievement of universal primary schooling, and long-term environmental sustainability. In the past 40 years, family-planning programmes have played a major part in raising the prevalence of contraceptive practice from less than 10% to 60% and reducing fertility in developing countries from six to about three births per woman. However, in half the 75 larger low-income and lower-middle income countries (mainly in Africa), contraceptive practice remains low and fertility, population growth, and unmet need for family planning are high. The cross-cutting contribution to the achievement of the Millennium Development Goals makes greater investment in family planning in these countries compelling. Despite the size of this unfinished agenda, international funding and promotion of family planning has waned in the past decade. A revitalisation of the agenda is urgently needed. Historically, the USA has taken the lead but other governments or agencies are now needed as champions. Based on the sizeable experience of past decades, the key features of effective programmes are clearly established. Most governments of poor countries already have appropriate population and family-planning policies but are receiving too little international encouragement and funding to implement them with vigour. What is currently missing is political willingness to incorporate family planning into the development arena.
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            Risk factors and a predictive model for under-five mortality in Nigeria: evidence from Nigeria demographic and health survey

            Background Under-5 mortality is a major public health challenge in developing countries. It is essential to identify determinants of under-five mortality (U5M) childhood mortality because these will assist in formulating appropriate health programmes and policies in order to meet the United Nations MDG goal. The objective of this study was to develop a predictive model and identify maternal, child, family and other risk factors associated U5M in Nigeria. Methods Population-based cross-sectional study which explored 2008 demographic and health survey of Nigeria (NDHS) with multivariable logistic regression. Likelihood Ratio Test, Hosmer-Lemeshow Goodness-of-Fit and Variance Inflation Factor were used to check the fit of the model and the predictive power of the model was assessed with Receiver Operating Curve (ROC curve). Results This study yielded an excellent predictive model which revealed that the likelihood of U5M among the children of mothers that had their first marriage at age 20-24 years and ≥ 25 years declined by 20% and 30% respectively compared to children of those that married before the age of 15 years. Also, the following factors reduced odds of U5M: health seeking behaviour, breastfeeding children for > 18 months, use of contraception, small family size, having one wife, low birth order, normal birth weight, child spacing, living in urban areas, and good sanitation. Conclusions This study has revealed that maternal, child, family and other factors were important risk factors of U5M in Nigeria. This study has identified important risk factors that will assist in formulating policies that will improve child survival.
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              Patterns and Trends in Adolescents' Contraceptive Use and Discontinuation in Developing Countries and Comparisons With Adult Women

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                Author and article information

                Journal
                The Open Public Health Journal
                TOPHJ
                Bentham Science Publishers Ltd.
                1874-9445
                August 29 2018
                August 29 2018
                : 11
                : 1
                : 348-359
                Article
                10.2174/1874944501811010348
                02f8b943-d65f-4450-84f0-407b3cf8c671
                © 2018

                https://creativecommons.org/licenses/by/4.0/legalcode

                History

                Medicine,Chemistry,Life sciences
                Medicine, Chemistry, Life sciences

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