| dc.description.abstract | This study investigates factors leading to unwanted pregnancies in Ugandan women using a Generalized Structural Equation Model (GSEM). It aims to uncover nuanced relationships and addresses gaps in previous research. The study's significance lies in raising awareness of unwanted pregnancy risks, aiding intervention efforts, and informing evidence-based approaches for women's agencies in Uganda to improve women and families' well-being. The study utilizes 2016 Uganda Demographic Health Survey (UDHS) secondary data and employs a cross-sectional design. Unwanted pregnancy is the primary outcome, categorized as "No" (intended at a later time or not desired) or "Yes" (otherwise). Independent variables include demographic, socioeconomic, and behavioral factors like age, domicile, education, employment, and wealth, age at first childbirth, ideal children number, pregnancy termination, contraceptive use, healthcare decisions, and household headship. Most women were aged 25-34, lived in male-headed households, were married, resided in rural areas, had primary education, and identified as Anglican or Catholic. The employment rate was high, with middle wealth status, and many had their first child before 18, experienced terminated pregnancies, and used modern contraceptives. Substance abuse was low, and contraception decisions were often joint. Factors associated with unwanted pregnancies included older age, marital status, employment, wealth, education, and joint contraception decisions. Residence type, religion, and substance abuse showed no significant associations. This study highlighted the multifaceted nature of unwanted pregnancies among women in Uganda. Age, marital status, employment, wealth status, education, and the decision-making process for contraception emerged as significant determinants. These findings underscore the importance of tailored interventions that address the diverse factors contributing to unwanted pregnancies. Additionally, the non-significance of certain variables suggests the need for a nuanced understanding of the local context in Uganda to develop effective policies and programs. | en_US |
