Department of Health Informatics, School of Public Health, Arba Minch University College of Medicine and Health Sciences, Arba Minch, South West Ethiopia.
PLoS One. 2021 Mar 12;16(3):e0248228. doi: 10.1371/journal.pone.0248228. eCollection 2021.
Determinants of the magnitude of abortion among women of diverse social and economic status, particularly in Africa poorly understood because of the missing information in most countries. In this study, we addressed abortion and its determinants among youth women of 15-24 ages to provide clear direction for policymaking in Ethiopia.
We examined the 2016 Ethiopian demographic health survey data downloaded from the EDHS website after obtaining permission on abortion among 15-24 age women. We applied bivariate and multilevel binary logistic regression. Community and Individual level abortion predictors passed through a three-level binary logistic regression analysis where we used p-value <0.05 and adjusted odds ratios (AOR) with 95% confidence intervals (CI).
The abortion among the youth population in this study was 2.5%. Factors associated with pregnancy were age group 20-24 2.5(1.6-3.8), youth with one birth 0.65(0.44-0.96), youth with 2-5 births 0.31(0.18-0.55), age ≥18 0.50(0.33-0.76), married 38(17-84), divorced 20(7-55), birth in the last five years 0.65(0.44-0.96), middle wealth youth 1.7(1.0.4-2.8), being in Amhara0.31(0.11-0.85), and 0.30(0.12-0.77).
Less abortion occurred in economically poor youths. It is a noble finding; however, the access problem might lead to the result. We observed more abortions in age <18years; those have not given birth until the data collection date. It portrays forth clear policy direction for politicians and all other stakeholders to intervene in the problem. The analysis also showed abortion increased with age. It shows that as age increased, youths disclose abortion which is rare at an early age, and again given an essential clue for the next interventions. The fact in this study is both age and marriage affected abortion similarly. It might be because of various culture-related perceptions where it is not appropriate for an unmarried woman to appear with any pregnancy outcome as the reason behind the decreased number of abortions at a younger age. Thus, more attention is required during implementation for unmarried and lower age youth regardless of the magnitude of the abortion.
在不同社会经济地位的女性中，尤其是在非洲，堕胎的程度尚不清楚，因为大多数国家都缺乏相关信息。在这项研究中，我们研究了 15-24 岁青年女性的堕胎及其决定因素，为埃塞俄比亚的政策制定提供了明确的方向。
我们检查了 2016 年埃塞俄比亚人口健康调查数据，该数据是在获得 15-24 岁女性堕胎许可后从 EDHS 网站下载的。我们应用了双变量和多水平二元逻辑回归。通过三水平二元逻辑回归分析，对社区和个体层面的堕胎预测因素进行了分析，其中我们使用了 P 值<0.05 和调整后的优势比（AOR）和 95%置信区间（CI）。
在这项研究中，青年人群中的堕胎率为 2.5%。与怀孕相关的因素包括年龄组 20-24 岁 2.5（1.6-3.8）、有一次分娩的青年 0.65（0.44-0.96）、有 2-5 次分娩的青年 0.31（0.18-0.55）、年龄≥18 岁 0.50（0.33-0.76）、已婚 38（17-84）、离婚 20（7-55）、分娩在过去五年中 0.65（0.44-0.96）、中等财富青年 1.7（1.0.4-2.8）、在阿姆哈拉地区 0.31（0.11-0.85）和 0.30（0.12-0.77）。
经济贫困的青年堕胎较少。这是一个崇高的发现；然而，获得堕胎的机会可能导致了这一结果。我们观察到 18 岁以下的堕胎更多；那些在数据收集日期之前没有生育过。这为政治家和所有其他利益相关者提供了明确的政策方向，以干预这一问题。分析还表明，随着年龄的增长，堕胎率也在增加。这表明，随着年龄的增长，青年女性会披露堕胎情况，而早期堕胎的情况很少见，这为下一步干预提供了重要线索。在这项研究中，年龄和婚姻对堕胎的影响相似。这可能是因为各种与文化相关的观念认为，未婚女性不应该有任何怀孕结果，这是导致年轻女性堕胎率下降的原因。因此，在实施过程中，无论堕胎率如何，都需要更加关注未婚和年龄较小的青年。
