Jude Otim1. 1. Department of Sociology and Social Administration, Kyambogo University, P.O. Box 1, Kyambogo, Kampala, Uganda. otimjude18@gmail.com.
Abstract
BACKGROUND: Contraceptive nonuse has diverse effects on women, such as unintended pregnancies and births that result in high fertility and poor maternal health outcomes. In Uganda, knowledge on contraceptive use is high, amidst undesirably high contraceptive nonuse and scarce literature on predictors of contraceptive nonuse across regions. This study assessed factors associated with contraceptive nonuse among women of reproductive age across regions in Uganda. METHOD: This study used data from a cross-sectional 2016 Uganda demographic and heath survey that had 18,506 women of reproductive age. The relationship between contraceptive nonuse and socio-economic and demographic factors across regions were assessed using a binary multivariable logistic regression model. RESULTS: In Uganda, contraceptive nonuse is estimated at 40%. Northern region (55%) had the highest prevalence of contraceptive nonuse compared to Central region (35%) with the lowest. Across regions, wealth index, number of living children, educational level, and children born in the last 5 years prior to the demographic survey differently predicted contraceptive nonuse. Conversely, age, religion, age at first marriage, sexual autonomy, age at first birth, desire for children, listening to radio, and employment status were only predictors of contraceptive nonuse in particular regions amidst variations. Residence, perception of distance to health facility, watching television, and reading newspapers or magazines did not predict contraceptive nonuse. CONCLUSIONS: The study findings propose the need to appreciate regional-variations in effect of contraceptive nonuse predictors and therefore, efforts should be directed towards addressing regional-variations so as to attain high contraceptive usage across regions, and thus reduce on unwanted pregnancies and births.
BACKGROUND: Contraceptive nonuse has diverse effects on women, such as unintended pregnancies and births that result in high fertility and poor maternal health outcomes. In Uganda, knowledge on contraceptive use is high, amidst undesirably high contraceptive nonuse and scarce literature on predictors of contraceptive nonuse across regions. This study assessed factors associated with contraceptive nonuse among women of reproductive age across regions in Uganda. METHOD: This study used data from a cross-sectional 2016 Uganda demographic and heath survey that had 18,506 women of reproductive age. The relationship between contraceptive nonuse and socio-economic and demographic factors across regions were assessed using a binary multivariable logistic regression model. RESULTS: In Uganda, contraceptive nonuse is estimated at 40%. Northern region (55%) had the highest prevalence of contraceptive nonuse compared to Central region (35%) with the lowest. Across regions, wealth index, number of living children, educational level, and children born in the last 5 years prior to the demographic survey differently predicted contraceptive nonuse. Conversely, age, religion, age at first marriage, sexual autonomy, age at first birth, desire for children, listening to radio, and employment status were only predictors of contraceptive nonuse in particular regions amidst variations. Residence, perception of distance to health facility, watching television, and reading newspapers or magazines did not predict contraceptive nonuse. CONCLUSIONS: The study findings propose the need to appreciate regional-variations in effect of contraceptive nonuse predictors and therefore, efforts should be directed towards addressing regional-variations so as to attain high contraceptive usage across regions, and thus reduce on unwanted pregnancies and births.
Entities:
Keywords:
Contraceptive nonuse; Fertility; Regional; Uganda; Women
Authors: Sebastian Eliason; John K Awoonor-Williams; Cecilia Eliason; Jacob Novignon; Justice Nonvignon; Moses Aikins Journal: Reprod Health Date: 2014-08-13 Impact factor: 3.223
Authors: Christopher Garimoi Orach; George Otim; Juliet Faith Aporomon; Richard Amone; Stephen Acellam Okello; Beatrice Odongkara; Henry Komakech Journal: Confl Health Date: 2015-08-11 Impact factor: 2.723