撒哈拉以南非洲曾经怀孕妇女的妊娠损失及其预测因素:多水平混合效应负二项回归。

PLOS global public health Pub Date : 2025-04-07 eCollection Date: 2025-01-01 DOI:10.1371/journal.pgph.0004316
Abel Endawkie, Yawkal Tsega
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引用次数: 0

摘要

背景:流产是撒哈拉以南非洲地区一个重要的孕产妇保健问题。非洲的死产率全球最高,估计每年有270万例死产发生在该大陆。在撒哈拉以南非洲,妊娠损失数据报告不足,记录不一致。因此,本研究旨在利用最近一轮人口与健康调查(DHS)数据,确定撒哈拉以南非洲曾经怀孕妇女的妊娠损失数量及其预测因素。方法:使用2015-2023年最新一轮的DHS数据,对撒哈拉以南非洲235,086名加权孕妇进行了二次数据分析。采用多水平混合效应负二项回归分析。校正后的发病率比(AIRR)为95%可信区间(CI)。结果:撒哈拉以南非洲地区的妊娠丢失中位数为2.67,95%CI(2.64, 2.69)。母亲年龄增加一年[AIRR= 1.05, 95%CI(1.06, 1.07)]、母亲的小学教育程度[AIRR= 1.10, 95%CI(1.01, 1.22)]、伴侣受过高等教育的妇女[AIRR= 1.18, 95%CI(1.04, 1.39)]、5岁以下儿童较多[AIRR= 0.95, 95%CI(0.91,0.99)]、曾经怀孕过的妇女[AIRR= 1.76, 95%CI(1.6, 2)]与流产次数有关。结论:研究结果表明,在撒哈拉以南非洲地区,曾经怀孕的妇女中有三次怀孕失败。值得注意的是,母亲年龄增加一年,母亲及其伴侣的教育程度提高,都与流产风险增加有关。相比之下,有多个孩子的母亲通常会经历较低的失失率。因此,政策干预措施应解决与高龄产妇和母亲及其伴侣的高等教育水平相关的流产风险增加问题。这可以通过支持教育准父母关于母亲年龄对怀孕结果影响的项目来实现。此外,促进灵活的教育途径和提供职业支持可以鼓励更健康的怀孕时间。此外,支持家庭和促进扩大家庭规模的举措可能有助于降低撒哈拉以南非洲地区的流产率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pregnancy loss and its predictors among ever-pregnant women in Sub-Saharan Africa: Multilevel mixed effect negative binomial regression.

Background: Pregnancy loss is a significant maternal health issue in Sub-Saharan Africa. Africa has the highest rates of stillbirths globally, with an estimated 2.7 million stillbirths occurring each year on the continent. The pregnancy loss data are underreported and inconsistently recorded in Sub-Saharan Africa. Therefore, this study aimed to determine the number of pregnancy loss and its predictors among ever-pregnant women in Sub-Saharan Africa using a recent round of demographic and health survey (DHS) data.

Method: A secondary data analysis was conducted among 235,086 weighted ever-pregnant women in Sub-Saharan Africa using a recent round of DHS data from 2015-2023. Multilevel mixed effect negative binomial regression was conducted. An adjusted incidence rate ratio (AIRR) with a 95% confidence interval (CI) was reported.

Result: The median number of pregnancy loss in Sub-Saharan Africa is 2.67, 95%CI (2.64, 2.69). A one-year increase in maternal age [AIRR= 1.05, 95%CI (1.06, 1.07)], primary educational status of the mother [AIRR = 1.10, 95% CI (1.01, 1.22)], women with a partner who has higher education [AIRR= 1.18, 95% CI (1.04, 1.39)], a higher number of under-five children [AIRR =0.95, 95% CI (0.91,0.99)], women have ever pregnant in Cote'divore [AIRR 1.76, 95% CI (1.6, 2)] are associated with the number of pregnancy loss.

Conclusion: The findings indicate that there are three pregnancy losses among ever-pregnant women in Sub-Saharan Africa. Notably, a one-year increase in maternal age and higher education levels for both mothers and their partners are linked to an increased risk of pregnancy loss. In contrast, mothers with multiple children generally experience lower rates of loss. Therefore, policy interventions should address the heightened risk of pregnancy loss linked to advancing maternal age and higher education levels for both mothers and their partners. This can be achieved by supporting programs that educate prospective parents about the effects of maternal age on pregnancy outcomes. Furthermore, promoting flexible educational pathways and providing career support can encourage healthier timing for pregnancies. Additionally, initiatives that support families and promote larger family sizes may help reduce pregnancy loss rates in Sub-Saharan Africa.

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