埃塞俄比亚近期生育率下降中生育率的直接决定因素的作用:修正Bongaarts模型的应用。

IF 1.8 Q3 OBSTETRICS & GYNECOLOGY Open access journal of contraception Pub Date : 2020-06-03 eCollection Date: 2020-01-01 DOI:10.2147/OAJC.S251693
Seifadin Ahmed Shallo
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引用次数: 1

摘要

在埃塞俄比亚,生育率从2005年的5.4下降到2016年的4.6。许多因素导致了这种下降。了解导致生育率下降的因素及其抑制生育率的作用水平对任何国家都具有重要的政策意义。本研究旨在评估2005年以来埃塞俄比亚生育率下降的四个近似决定因素,即避孕措施的使用、产后不孕、婚姻和堕胎率。方法:本研究使用了2005年、2011年和2016年埃塞俄比亚人口与健康调查(EDHS)的公开数据。EDHS数据是通过横断面研究从育龄妇女中收集的代表性数据。数据分析使用了修正和微调的Bongaarts近似生育决定因素模型。分析所需的组件使用STAT编译器从完整的EDHS数据中提取出来。最后使用Microsoft Excel进行分析。结果:在影响生育的四个近因因素中,产后不敏感对三种EDHS的生育抑制作用最大,且在贫困妇女中更为突出。在过去15年中,虽然产后不孕、婚姻和堕胎对生育率的影响相对稳定,但避孕措施的使用对生育率的抑制作用从15%显著增加到37%。结论:总之,埃塞俄比亚的生育率变化很大程度上是由于生育率的三个中间决定因素。在过去15年里,避孕药具的使用是埃塞俄比亚生育率下降的最重要的决定因素。为了在更替水平上实现生育率,该国需要将避孕普及率提高到69%,比目前的避孕普及率提高近100%。
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Roles of Proximate Determinants of Fertility in Recent Fertility Decline in Ethiopia: Application of the Revised Bongaarts Model.

Introduction: In Ethiopia, the fertility rate declined from 5.4 in 2005 to 4.6 by 2016. Many factors have been contributing to this decline. Understanding the factors contributing to the fertility decline and their level of fertility inhibiting effect has a paramount policy implication in any country. This study aimed to assess the contribution of the four proximate determinants of fertility, ie, contraception use, postpartum infecundity, marriage and abortion rate, to fertility decline in Ethiopia since 2005.

Methods: This study used publicly available data from the Ethiopia Demographic and Health Surveys (EDHS) of 2005, 2011 and 2016. The EDHS data were the representative data collected from the reproductive-age women through a cross-sectional study. The revised and fine-tuned Bongaarts model of proximate fertility determinants was used for data analysis. The components needed for the analysis were extracted from the full EDHS data using the STAT compiler. Finally, the analysis was done using Microsoft Excel.

Results: Of the four proximate determinants of fertility, postpartum insusceptibility contributed the highest fertility inhibiting effect in all three EDHS, and its level was also more prominent among the poorest women. While post partum infecundity, marriage and abortion had a relatively constant effect on fertility over the last 15 years, the fertility inhibiting effect of contraceptive use significantly increased from 15% to 37%.

Conclusion: In conclusion, fertility variation in Ethiopia is largely due to the three intermediate determinants of fertility. Over the last one and half decades, contraceptive use was the single most important determinant responsible for fertility decline in Ethiopia. To achieve fertility at replacement level, the country needs a contraceptive prevalence rate of 69%, an increment of nearly 100% from its current contraceptive prevalence rate.

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