影响埃塞俄比亚妇女赋权的因素有哪些?对埃塞俄比亚人口与健康调查数据的多层次分析。

IF 2.3 Q2 OBSTETRICS & GYNECOLOGY
Frontiers in global women's health Pub Date : 2024-10-31 eCollection Date: 2024-01-01 DOI:10.3389/fgwh.2024.1463157
Endalkachew Dellie, Misganaw Guadie Tiruneh, Melak Jejaw, Kaleb Assegid Demissie, Mihret Getnet, Tadele Biresaw Belachew, Getachew Teshale, Banchlay Addis, Demiss Mulatu Geberu, Lake Yazachew, Tesfahun Zemene Tafere, Nigusu Worku
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引用次数: 0

摘要

背景:增强妇女权能一直是全球优先事项,因为各国可通过增强妇女权能实现显著增长和经济发展。了解影响妇女赋权的个人和社区因素对于政策制定者制定有效政策和提高妇女赋权至关重要:方法:在埃塞俄比亚的 11 个行政区开展了一项基于社区的横断面调查。分析对象包括埃塞俄比亚人口与健康调查(EDHS)的 2,016 个加权样本中的 7,108 名已婚育龄妇女(15-49 岁)。分析采用了多层次混合效应二元逻辑回归分析,以研究与妇女赋权相关的个人和社区因素。在最终模型中,使用 p 值确定了重要变量:妇女赋权的总体幅度为 23.7%(95% CI:22.7-24.7)。只有 30.9% 的妇女表示参与了家庭决策,32.5% 的妇女不同意殴打妻子的所有理由。在个人层面,与妇女赋权正相关的因素包括中等教育(AOR:2.72(1.77-4.23))和高等教育(AOR:3.65(1.81-7.34))。然而,穆斯林宗教信仰与妇女赋权呈负相关(AOR:0.63(0.47-0.85))。在社区层面,富裕社区与妇女赋权呈正相关(AOR:1.60(1.05-2.44))。相反,居住在农村地区(AOR:0.49(0.29-0.83))、阿法尔(AOR:0.35(0.17-0.70))、阿姆哈拉(AOR:0.45(0.26-0.79))、奥罗莫(AOR:0.43(0.26-0.73)、南方民族和人民(SNNP)(AOR:0.42(0.24-0.75))和甘贝拉(AOR:0.36(0.20-0.66))地区各州与妇女赋权呈负相关:本研究中妇女赋权的总体程度较低。对妇女赋权产生积极影响的因素包括接受中等和高等教育,以及居住在财富地位较高的社区。另一方面,穆斯林、居住在农村地区以及居住在阿法尔、阿姆哈拉、奥罗莫、南方各族州、甘贝拉和提格雷地区与妇女赋权呈负相关。因此,埃塞俄比亚政府需要制定以社区为基础的妇女赋权战略,让妇女参与创收活动,从而提高她们在家庭决策中的参与度,增强她们的权能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
What factors influence women's empowerment in Ethiopia? A multilevel analysis of Ethiopia's demographic and health survey data.

Background: Women's empowerment has been a global priority, as countries can achieve significant growth and economic development by empowering women. Understanding the individual and community-level factors that influence women's empowerment is crucial for policymakers to develop effective policies and to improve women's empowerment.

Method: A community-based cross-sectional survey was conducted in 11 administrative regions of Ethiopia. The analysis included a weighted sample of 7,108 married women of reproductive age (15-49 years) from the 2,016 Ethiopian Demographic and Health Survey (EDHS). A multilevel mixed-effect binary logistic regression analysis was used to examine the individual and community-level factors associated with women's empowerment. In the final model, significant variables were identified using a p-value of <0.05 and an adjusted odds ratio (AOR) with a 95% confidence interval (CI).

Results: The overall magnitude of women's empowerment was 23.7% (95% CI: 22.7-24.7). Only 30.9% of women reported participating in household decision-making, and 32.5% disagreed with all the reasons justifying wife-beating. At individual-level, factors positively associated with women's empowerment included secondary (AOR: 2.72 (1.77-4.23), and higher (AOR: 3.65 (1.81-7.34) education. However, belonging to the Muslim religion was negatively associated with women's empowerment (AOR: 0.63 (0.47-0.85). At the community level, wealthy communities were positively associated with women's empowerment (AOR: 1.60 (1.05-2.44). Conversely, residing in rural areas (AOR: 0.49 (0.29-0.83), and living in the Afar (AOR: 0.35 (0.17-0.70), Amhara (AOR: 0.45 (0.26-0.79), Oromia (AOR: 0.43 (0.26-0.73), South Nation Nationalities, and Peoples (SNNP) (AOR: 0.42 (0.24-0.75), and Gambella (AOR: 0.36 (0.20-0.66) regional states were negatively associated with women's empowerment.

Conclusion: The overall magnitude of women's empowerment in this study was low. Factors that positively influenced empowerment included attending secondary and higher education, as well as residing in communities with higher wealth status. On the other hand, being Muslim, residing in rural areas, and living in the Afar, Amhara, Oromia, SNNPR, Gambella, and Tigray regions were negatively associated with women's empowerment. As a result, the government of Ethiopia needs to design community-based women's empowerment strategies and involve women in income-generation activities that improve their participation in household decision-making to empower them.

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