Browsing by Author "Nzabona, Abel"

Now showing 1 - 3 of 3
  • Thumbnail Image
    Item
    Determinants of change in fertility pattern among women in Uganda during the period 2006–2011
    (Fertility Research and Practice, 2018) Ariho, Paulino; Kabagenyi, Allen; Nzabona, Abel
    Studies on fertility in Uganda have attributed fertility reduction to a shift in the overall characteristics of women of reproductive age. It is not clear whether the reduction in fertility is due to changing socioeconomic and demographic characteristics over time or stems from the shifts in the reproductive behavior of women. In this paper we examine how fertility rates have changed between 2006 and 2011 and whether these changes have resulted from changing characteristics or from changing reproductive behavior of women. Methods: Using the 2006 and 2011 Demographic and Health Survey data for Uganda, Multivariate Poisson Decomposition techniques were applied to evaluate observed changes in fertility. Results: Changing characteristics of women aged 15–49 years significantly contributed to the overall change in fertility from 2006 to 2011. The change observed in older age at first marriage was the major contributor to the changes in fertility. The contribution that can be attributed to changes in reproductive behavior was not significant. Conclusions: This study finds that the major contribution to the reduction in fertility between 2006 and 2011 was from increased education and delayed marriage among women. Continued improvement in secondary school completion, will lead to older age at first marriage and will continue to be an important factor in Uganda’s declining fertility rates.
  • Thumbnail Image
    Item
    Determinants of Fertility Change in the Period 2006-2011 among Women Aged 15-49 Years in Uganda
    (PAA 2018 Annual Meeting, 2018) Ariho, Paulino; Kabagenyi, Allen; Nzabona, Abel
    Studies on fertility in Uganda have highlighted the importance of demographic and socioeconomic factors in fertility change but have not isolated the portion of fertility change attributable to changing characteristics of women from that due to changing behavioral effects. Methods: Using DHS survey data for Uganda, we decomposed the 2006-2011 change in fertility among women aged 15-49 years into portions attributable to changing characteristics of women and changing behavioral effects. Results: The overall change in fertility was largely attributed to changing characteristics of women aged 15-49 years in the 2006-2011 period rather than changing behavioral effects. Change in education level attained and age at first marriage contributed the biggest percentage to change in fertility between 2006 and 2011. Other significant contributors were changes in; family size preference, women’s working status, contraceptive use, exposure to family planning messages, place of residence and age at first sex. Conclusion: This paper suggests that improvements in social, economic and demographic characteristics of Ugandan women are the key drivers of the reduction in fertility levels in Uganda. With continued improvement in secondary school completion, age at first marriage, contraceptive use and family size preferences will continue to be an important factor of Uganda’s fertility transition. It is imperative for government and other stakeholder to work out appropriate strategies to ensure that girls complete at least secondary level of education
  • Thumbnail Image
    Item
    Factors associated with older persons’ physical health in rural Uganda
    (PloS one, 2019) Maniragaba, Fred; Nzabona, Abel; Asiimwe, John B.; Bizimungu, Emmanuel; Mushomi, John; Ntozi, James; Kwagala, Betty
    The proportion of older persons in developing countries is increasing with no clear evidence of improvement in physical health. The aim of this paper was to examine the factors associated with older persons’ physical health in rural Uganda. Methods This paper is based on a cross-sectional study of 912 older persons age 60 years and older across four major regions of Uganda. The study was conceptualized basing on World Health Organization quality of life BREF (WHOQOL-BREF). Analysis was done at three levels, that is, frequency distributions were generated to describe background characteristics of respondents and cross-tabulations were done to determine associations between dependent and each of the independent variables. Ordinal logistic regression was used to determine the predictors of physical health. Results The likelihood of good physical health is high among older persons (Ops) who controlled their household assets (OR = 3.64; CI = 1.81–7.30) or the household assets controlled by their spouses (OR = 4.44; CI = 1.91–10.32) relative to those whose household assets were controlled by their children. There is high likelihood of good physical health among those who engage in physical activities (OR = 2.28; CI = 1.52–3.43) compared to those who do not.