Kebede Sewnet Adem, Tusa Biruk Shalmeno, Weldesenbet Adisu Birhanu
Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Department of Epidemiology and Biostatistics, College of Health and Medical Sciences, Haramaya University, Haramaya, Ethiopia.
SAGE Open Med. 2021 Nov 23;9:20503121211059963. doi: 10.1177/20503121211059963. eCollection 2021.
This study aimed to determine the spatial distribution, prevalence, and determinant factors of unintended pregnancy among youth in Ethiopia.
Using the Ethiopian Demographic and Health Survey 2016, a total of 2446 pregnant women aged 15-24 in the last 5 years, including current pregnancy, were included in the study. The unintended pregnancy data were spatially visualized using coordinates for each respondent in the survey using ArcGIS 10.3. The Bernoulli model was used to identify the presence of purely spatial unintended pregnancy cluster using SaTScan software. Logistic regression analysis was fitted to determine factors associated with unintended pregnancy among youth.
Unintended pregnancy among youth had spatial variation across the country. Among youth, 20.5% (confidence interval: (19.0, 22.2)) of pregnancies were estimated to be unintended. Spatial scan statistics identified 72 primary clusters (log-likelihood ratio of 37.6, at < 0.001) which were located in Addis Ababa, southern part of Amhara, northwest of Oromia and northeast of Southern Nations, Nationalities and Peoples Region. Age, region, marital status, occupation, sex of household head, and number of household members were the determinant factors of unintended pregnancy among youth in Ethiopia.
The distribution of unintended pregnancy among youth in Ethiopia was nonrandom. Unintended pregnancy prevention strategies among youth need to be targeted on the identified factors. Hence, we recommend creating awareness on sexual and reproductive health rights with special priority to the identified hotspot areas (Amhara, Addis Ababa, Gambella, Northern part of Southern Nations, Nationalities and Peoples Region, and northwest of Oromia region) to reduce unintended pregnancy.
本研究旨在确定埃塞俄比亚青年意外怀孕的空间分布、患病率及决定因素。
利用2016年埃塞俄比亚人口与健康调查,纳入过去5年中年龄在15 - 24岁的2446名孕妇(包括当前怀孕的孕妇)。使用ArcGIS 10.3软件,根据调查中每位受访者的坐标对意外怀孕数据进行空间可视化。使用SaTScan软件,采用伯努利模型识别纯空间意外怀孕聚集区的存在。采用逻辑回归分析确定与青年意外怀孕相关的因素。
青年意外怀孕在全国存在空间差异。估计青年中20.5%(置信区间:(19.0, 22.2))的怀孕为意外怀孕。空间扫描统计识别出72个主要聚集区(对数似然比为37.6,< 0.001),这些聚集区位于亚的斯亚贝巴、阿姆哈拉南部、奥罗米亚西北部以及南方各族州和民族地区东北部。年龄、地区、婚姻状况、职业、户主性别和家庭成员数量是埃塞俄比亚青年意外怀孕的决定因素。
埃塞俄比亚青年意外怀孕的分布并非随机。青年意外怀孕预防策略需要针对已确定的因素。因此,我们建议特别优先关注已确定的热点地区(阿姆哈拉、亚的斯亚贝巴、甘贝拉、南方各族州和民族地区北部以及奥罗米亚地区西北部),开展性健康和生殖健康权利宣传,以减少意外怀孕。