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撒哈拉以南非洲育龄妇女人工流产的合并患病率及相关因素:一种贝叶斯多层次方法。

Pooled prevalence of induced abortion and associated factors among reproductive age women in sub-Saharan Africa: a Bayesian multilevel approach.

作者信息

Fenta Setegn Muche, Fenta Haile Mekonnen, Yilema Seyifemickael Amare, Mekie Maru, Belay Denekew Bitew, Mekonin Amsalu Worku, Chen Ding-Geng

机构信息

Department of Statistics, College of Natural and Computational Sciences, Debre Tabor University, Debre Tabor, Ethiopia.

Center for Environmental and Respiratory Health Research, Population Health, University of Oulu, Oulu, Finland.

出版信息

Arch Public Health. 2025 Jun 18;83(1):159. doi: 10.1186/s13690-025-01656-7.

Abstract

BACKGROUND

Abortion is one of the leading causes of maternal death in developing countries, particularly in sub-Saharan Africa (sSA,). In this region, abortion is responsible for 38,000 maternal deaths, making the area with the highest rate of abortion-related mortality in the world. This study aimed to examine the prevalence and associated factors of induced abortion in 33 countries in the region.

METHOD

We used data from the most current Demographic and Health Surveys (DHS) conducted in 33 sSA countries between 2012 and 2022. A total 367,881 of women were included in the analysis. The Bayesian multilevel logistic regression model was used to determine the factors associated to induced abortion because of the hierarchical nature of the DHS data.

RESULTS

The overall prevalence of induced abortion was 16.50% in sSA. The random effects model revealed that about 75% of the variation in the induced abortion was caused by community and individual-level factors. Based on the Bayesian multilevel logistic regression model, women who smoke cigarettes(AOR = 1.044; 95%CI: 1.020, 1.070), 24-month and above birth interval(AOR = 5.747; 95%CI: 5.595, 5.889), rich women(AOR = 1.470, 95%CI: 1.436, 1.510), secondary and above-educated women (AOR = 2.640, 95%CI: 2.567, 2.707), being exposed to the media (AOR = 1.099, 95%CI: 1.083, 1.115), rural women (AOR = 1.025, 95%CI: 1.004, 1.047) and having pregnancy complications (AOR = 1.095, 95%CI: 1.067, 1.124) were associated with higher odds of induced abortion. But, the odds of an induced abortion were lower for women 35-49 years of age(AOR = 0.019, 95% CI: 0.018, 0.019), having 2-3 birth history(AOR = 0.105, 95%CI: 0.102, 0.107), having family size of 4-6 (AOR = 0.747; 95%CI: 0.735, 0.760), using contraception (AOR = 0.747; 95%CI: 0.735, 0.760), being married (AOR = 0.642; 95%CI: 0.628, 0.654), and being a working woman(AOR = 0.673; 95%CI: 0.658, 0.687).

CONCLUSION

The prevalence of induced abortion was high in the sSA countries with a significant country-specific variations. Therefore, public health programs shall focus on sexual and reproductive health education for young women, rural women, unmarried women, and rich women, in order to address this problem. Furthermore, it is crucial to formulate policies and initiatives that consider regional disparities in the prevalence of induced abortion and to actively pursue their implementation.

摘要

背景

在发展中国家,堕胎是孕产妇死亡的主要原因之一,尤其是在撒哈拉以南非洲地区(SSA)。该地区每年有38000名孕产妇因堕胎死亡,使其成为世界上与堕胎相关死亡率最高的地区。本研究旨在调查该地区33个国家的人工流产患病率及其相关因素。

方法

我们使用了2012年至2022年间在33个SSA国家进行的最新人口与健康调查(DHS)数据。共有367881名妇女纳入分析。由于DHS数据具有分层性质,我们使用贝叶斯多层逻辑回归模型来确定与人工流产相关的因素。

结果

SSA地区人工流产的总体患病率为16.50%。随机效应模型显示,约75%的人工流产差异是由社区和个体层面的因素造成的。基于贝叶斯多层逻辑回归模型,吸烟的女性(AOR = 1.044;95%CI:1.020,1.070)、生育间隔在24个月及以上的女性(AOR = 5.747;95%CI:5.595,5.889)、富裕女性(AOR = 1.470,95%CI:1.436,1.510)、受过中等及以上教育的女性(AOR = 2.640,95%CI:2.567,2.707)、接触过媒体的女性(AOR = 1.099,95%CI:1.083,1.115)、农村女性(AOR = 1.025,95%CI:1.004,1.047)以及有妊娠并发症的女性(AOR = 1.095,95%CI:1.067,1.124)进行人工流产的几率较高。但是,35至49岁的女性(AOR = 0.019,95%CI:0.018,0.019)、有2至3次生育史的女性(AOR = 0.105,95%CI:0.102,0.107)、家庭规模为4至6人的女性(AOR = 0.747;95%CI:0.735,0.760)、使用避孕措施的女性(AOR = 0.747;95%CI:0.735,0.760)、已婚女性(AOR = 0.642;95%CI:0.628,0.654)以及职业女性(AOR = 0.673;95%CI:0.658,0.687)进行人工流产的几率较低。

结论

SSA国家人工流产患病率较高,且存在显著的国家差异。因此,公共卫生项目应关注针对年轻女性、农村女性、未婚女性和富裕女性的性与生殖健康教育,以解决这一问题。此外,制定考虑人工流产患病率地区差异的政策和举措并积极推动其实施至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aad/12175375/51b685f83b0b/13690_2025_1656_Fig1_HTML.jpg

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