Department of Reproductive Health, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Department of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
PLoS One. 2023 Sep 8;18(9):e0290960. doi: 10.1371/journal.pone.0290960. eCollection 2023.
Women's health and welfare, as well as the survival of their children, are adversely affected by high fertility rates in developing countries. The fertility rate in Ethiopia has been high for a long time, with some pockets still showing poor improvement. Thus, the current study is aimed to assess the spatial distribution and its predictors of high fertility status in Ethiopia.
Secondary data analysis was used using the 2016 Ethiopian Demographic and Health Survey (EDHS). The Bernoulli model was used by applying Kulldorff methods using the SaTScan software to analyze the purely spatial clusters of high fertility status. ArcGIS version 10.8 was used to visualize the distribution of high fertility status across the country. Mixed-effect logistic regression analysis was also used to identify the predictors of high fertility.
High fertility among reproductive-age women had spatial variation across the country. In this study, a higher proportion of fertility occurred in Somali region, Southeastern part of Oromia region, and Northeastern part of SNNPR. About 45.33% (confidence interval: (44.32, 46.33) of reproductive-age women had high fertility. Education; no formal (aOR: 13.12, 95% CI: 9.27, 18.58) and primary (aOR: 5.51, 95% CI: 3.88, 7.79), religion; Muslim (aOR: 1.52, 95% CI: 1.28, 1.81) and Protestant (aOR: 1.48, 95% CI: 1.23, 1.78), age at first birth (aOR: 2.94, 95% CI: 2.61, 3.31), age at first sex (aOR: 1.70, 95% CI: 1.49, 1.93), rural resident (aOR: 3.76, 95% CI: 2.85, 4.94) were predictors of high fertility in Ethiopia.
The spatial pattern of high fertility status in Ethiopia is clustered. Hotspot areas of a problem were located in Somali, Central Afar, Northeastern part of SNNPR, and Southeastern part of Oromia region. Therefore, designing a hotspot area-based interventional plan could help to reduce high fertility. Moreover, much is needed to be done among rural residents, reducing early sexual initiations and early age at first birth, and enhancing women's education. All the concerned bodies including the kebele administration, religious leaders, and community leaders should be in a position to ensure the practicability of the legal age of marriage.
发展中国家较高的生育率对妇女健康和福利以及儿童的生存都有不利影响。埃塞俄比亚的生育率一直很高,一些地区的生育率仍未见明显改善。因此,本研究旨在评估埃塞俄比亚高生育率的空间分布及其预测因素。
使用 2016 年埃塞俄比亚人口与健康调查(EDHS)进行二次数据分析。应用 Kulldorff 方法,采用 SaTScan 软件的 Bernoulli 模型,对高生育率的纯空间聚类进行分析。使用 ArcGIS 版本 10.8 可视化全国高生育率的分布情况。还采用混合效应逻辑回归分析来确定高生育率的预测因素。
在全国范围内,育龄妇女的高生育率存在空间差异。在这项研究中,较高比例的生育率出现在索马里地区、奥罗米亚地区东南部和南埃塞俄比亚地区东北部。大约 45.33%(置信区间:(44.32,46.33)的育龄妇女有较高的生育率。教育程度;无正规教育(aOR:13.12,95%CI:9.27,18.58)和小学(aOR:5.51,95%CI:3.88,7.79)、宗教信仰;穆斯林(aOR:1.52,95%CI:1.28,1.81)和新教(aOR:1.48,95%CI:1.23,1.78)、初育年龄(aOR:2.94,95%CI:2.61,3.31)、初次性行为年龄(aOR:1.70,95%CI:1.49,1.93)、农村居民(aOR:3.76,95%CI:2.85,4.94)是埃塞俄比亚高生育率的预测因素。
埃塞俄比亚高生育率的空间模式呈聚集性。问题的热点地区位于索马里、中央阿法尔、南埃塞俄比亚地区东北部和奥罗米亚地区东南部。因此,制定基于热点地区的干预计划有助于降低高生育率。此外,农村居民还需要做很多工作,包括减少初次性行为和初育年龄,提高妇女教育水平。包括基层行政机构、宗教领袖和社区领袖在内的所有相关机构都应该能够确保法定结婚年龄的可行性。