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埃塞俄比亚婴儿死亡率的地域差异和决定因素:利用 EDHS 数据进行绘图和空间分析。

Geographical disparities and determinants of infant mortality in Ethiopia: mapping and spatial analysis using EDHS data.

机构信息

Department of Statistics, College of Natural and Computational Science, Jinka University, Jinka, Ethiopia.

Department of Statistics, College of Science, Bahir Dar University, Bahir Dar, Ethiopia.

出版信息

BMC Pediatr. 2023 May 5;23(1):221. doi: 10.1186/s12887-023-04043-9.

Abstract

BACKGROUND

Infant mortality remains a public health challenge in Ethiopia. Exploring infant mortality will aid in tracking the progress toward achieving sustainable development goals.

OBJECTIVE

The study aimed to explore the geographical variations and associated factors of infant mortality in Ethiopia.

METHOD

A total of 11,023 infants from the 2016 Ethiopian Demographic and Health Survey (EDHS) data were extracted and included in the analysis. EDHS used a two-stage cluster sampling design with a census enumeration area as the primary sampling unit and households as the secondary sampling unit. Arc GIS software was used for spatial analysis using clusters for exploring geographical variations in infant mortality. A binary logistic regression was employed using R software to identify the significant determinants of infant mortality.

RESULTS

The study revealed that the spatial distribution of infant mortality was non-random in the country. Infants whose mothers not receiving ANC (AOR = 1.45; 95%CI: 1.17, 1.79), not breastfed status (AOR = 3.94; 95%CI: 3.19, 4.81), poor wealth index (AOR = 1.36; 95%CI: 1.04, 1.77), male infants (AOR = 1.59; 95%CI: 1.29, 1.95), birth order of six or above (AOR = 3.11; 95%CI: 2.08, 4.62), small birth size (AOR = 1.27; 95%CI: 1.26, 1.60), birth spacing [(≤ 24 months (AOR = 2.29; 95%CI: 1.79, 2.92), 25-36 months (AOR = 1.16; 95%CI: 1.12, 1.49)], multiple births (AOR = 6.82; 95%CI: 4.76, 10.81), rural residence (AOR = 1.63; 95%CI: 1.05, 2.77) and regions [Afar (AOR = 1.54; 95%CI: 1.01, 2.36), Harari (AOR = 1.56; 95%CI: 1.04, 2.56), and Somali (AOR = 1.52; 95%CI: 1.03, 2.39)] were the determinants of infant death in Ethiopia.

CONCLUSIONS

There is a great geographical disparity in infant mortality rates across regions. Afar, Harari, and Somali regions were verified as hot spot areas. ANC usage, breastfed status, wealth index, sex of the infant, birth order, birth size, birth spacing, birth type, residence, and region were the determinants of infant death in Ethiopia. Therefore, appropriate interventions need to be implemented in the hot spots to alleviate the risk factors for infant mortality.

摘要

背景

婴儿死亡率仍然是埃塞俄比亚公共卫生面临的挑战。探讨婴儿死亡率有助于跟踪实现可持续发展目标的进展情况。

目的

本研究旨在探讨埃塞俄比亚婴儿死亡率的地域差异及其相关因素。

方法

从 2016 年埃塞俄比亚人口与健康调查(EDHS)数据中提取了 11023 名婴儿进行分析。EDHS 采用两阶段聚类抽样设计,以普查区为初级抽样单位,以家庭为二级抽样单位。Arc GIS 软件用于使用簇进行空间分析,以探索婴儿死亡率的地域变化。使用 R 软件中的二元逻辑回归来确定婴儿死亡率的显著决定因素。

结果

研究表明,该国婴儿死亡率的空间分布是不规则的。未接受 ANC 的母亲所生的婴儿(AOR=1.45;95%CI:1.17,1.79)、未母乳喂养的婴儿(AOR=3.94;95%CI:3.19,4.81)、财富指数较差的婴儿(AOR=1.36;95%CI:1.04,1.77)、男婴(AOR=1.59;95%CI:1.29,1.95)、出生顺序为六胎及以上的婴儿(AOR=3.11;95%CI:2.08,4.62)、出生体重较小的婴儿(AOR=1.27;95%CI:1.26,1.60)、出生间隔时间[(≤24 个月(AOR=2.29;95%CI:1.79,2.92),25-36 个月(AOR=1.16;95%CI:1.12,1.49)]、多胎婴儿(AOR=6.82;95%CI:4.76,10.81)、农村居民(AOR=1.63;95%CI:1.05,2.77)和地区[Afar(AOR=1.54;95%CI:1.01,2.36)、Harari(AOR=1.56;95%CI:1.04,2.56)和索马里(AOR=1.52;95%CI:1.03,2.39)]是导致埃塞俄比亚婴儿死亡的决定因素。

结论

各地区婴儿死亡率存在较大的地域差异。Afar、Harari 和索马里地区被证实为热点地区。ANC 使用、母乳喂养状况、财富指数、婴儿性别、出生顺序、出生体重、出生间隔、出生类型、居住地和地区是埃塞俄比亚婴儿死亡的决定因素。因此,需要在热点地区实施适当的干预措施,以减轻婴儿死亡率的风险因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/231b/10163692/cc97cdcffa21/12887_2023_4043_Fig1_HTML.jpg

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