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Unimproved source of drinking water and its associated factors: a spatial and multilevel analysis of Ethiopian demographic and health survey.未改善的饮用水源及其相关因素:埃塞俄比亚人口与健康调查的空间和多层次分析。
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3
Spatial heterogeneity in drinking water sources in the Greater Accra Metropolitan Area (GAMA), Ghana.加纳大阿克拉都会区(GAMA)饮用水源的空间异质性。
Popul Environ. 2022;44(1-2):46-76. doi: 10.1007/s11111-022-00407-y. Epub 2022 Aug 12.
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东非国家家庭获得安全饮用水及其相关因素:利用 12 个东非国家最近的国家健康调查进行混合效应分析。

Access to drinking safe water and its associated factors among households in East Africa: a mixed effect analysis using 12 East African countries recent national health survey.

机构信息

Department of Community Health Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Department of Emergency and Critical Care Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

出版信息

J Health Popul Nutr. 2024 May 24;43(1):72. doi: 10.1186/s41043-024-00562-y.

DOI:10.1186/s41043-024-00562-y
PMID:38790067
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11127454/
Abstract

BACKGROUND

More than half of the population in Sub-Saharan Africa (SSA) faces limited access to safe drinking water. Unimproved water sources can pose risks to the health of entire households, particularly women and children. Despite the fact that East African countries have some of the poorest drinking water infrastructures globally, there is a lack of published data on this issue. Consequently, the objective of this study was to examine access to safe drinking water and its determinants among households in East Africa, utilizing recent nationally representative data.

METHODS

This study analyzed data from recent demographic and health surveys conducted in 12 East African nations between 2011 and 2022. Data were gathered from 204,275 households. A stratified two-stage cluster sampling method was employed, with enumeration areas serving as the main sampling units and households serving as the secondary sampling units. Binary and multiple multilevel logistic regression were used to examine the relevant factors associated with the use of different sources of drinking water in the region. In binary regression and multiple regression, P values of ≤ 0.2 and < 0.05, respectively, were used to determine the statistical significance of variables in the final model.

RESULTS

Approximately 72.62% (95% CI = 72.43, 72.83) of households have utilized improved sources of drinking water. Household heads aged 25-35 years (AOR = 1.09, 95% CI = 1.04, 1.14), 36-45 years (AOR = 1.09, 95% CI = 1.04, 1.14), and > 45 years (AOR = 1.08, 95% CI = 1.04, 1.14), those with secondary/higher education (AOR = 1.24, 95% CI = 1.20-1.29), and individuals in wealth index categories of poorest (AOR = 0.17, 95% CI = 0.16, 0.18), poorer (AOR = 0.21, 95% CI = 0.19, 0.22), middle (AOR = 0.25, 95% CI = 0.24, 0.27), and richer (AOR = 0.36, 95% CI = 0.34, 0.38) were associated with improved sources of drinking water. Additionally, female household leaders (AOR = 1.23, 95% CI = 1.20, 1.26), > 30 min of time taken to access the water source (AOR = 2.00, 95% CI = 1.95, 2.05), improved toilet facilities (AOR = 2.25, 95% CI = 2.19, 2.31), rural residence (AOR = 0.43, 95% CI = 0.42, 0.45), high community wealth (AOR = 1.31, 95% CI = 1.13-1.51), community media exposure (AOR = 1.32, 95% CI = 1.15, 1.51) were associated with improved sources of drinking water, respectively.

CONCLUSION

Approximately three-quarters of the population in East Africa has access to improved drinking water, although the quality of water in the region is still considered poor. It is important for relevant organizations to collaborate in order to improve the quality of drinking water, with special attention given to high-risk groups such as communities with high poverty and low literacy rates, poor households, and rural residents. Strengthening women's empowerment and increasing mass media exposure can also play a crucial role in accelerating the adoption of improved drinking water sources in East Africa.

摘要

背景

撒哈拉以南非洲(SSA)地区超过一半的人口难以获得安全饮用水。未改善的水源可能会对整个家庭的健康造成风险,尤其是妇女和儿童。尽管东非国家的饮用水基础设施在全球范围内属于较差水平,但针对这一问题,相关数据仍十分匮乏。因此,本研究旨在利用最近的全国代表性数据,研究东非国家家庭获得安全饮用水的情况及其决定因素。

方法

本研究分析了 2011 年至 2022 年期间在 12 个东非国家进行的最近的人口与健康调查的数据。数据来自 204275 户家庭。采用分层两阶段聚类抽样方法,以普查区为主要抽样单位,家庭为二次抽样单位。采用二项和多水平逻辑回归分析来研究该地区与不同饮用水源使用相关的相关因素。在二项回归和多回归中,P 值分别为≤0.2 和<0.05 时,变量在最终模型中的统计学意义显著。

结果

大约 72.62%(95%置信区间:72.43,72.83)的家庭使用了改良水源。25-35 岁(AOR=1.09,95%置信区间:1.04,1.14)、36-45 岁(AOR=1.09,95%置信区间:1.04,1.14)和>45 岁(AOR=1.08,95%置信区间:1.04,1.14)的家庭户主、具有中学/高等教育水平(AOR=1.24,95%置信区间:1.20,1.29)的个体、以及在最贫穷(AOR=0.17,95%置信区间:0.16,0.18)、较贫穷(AOR=0.21,95%置信区间:0.19,0.22)、中等(AOR=0.25,95%置信区间:0.24,0.27)和较富裕(AOR=0.36,95%置信区间:0.34,0.38)的财富指数类别中的个体与改良水源的使用相关。此外,女性家庭领袖(AOR=1.23,95%置信区间:1.20,1.26)、到达水源所需时间超过 30 分钟(AOR=2.00,95%置信区间:1.95,2.05)、改良的厕所设施(AOR=2.25,95%置信区间:2.19,2.31)、农村居住(AOR=0.43,95%置信区间:0.42,0.45)、高社区财富(AOR=1.31,95%置信区间:1.13-1.51)和社区媒体接触(AOR=1.32,95%置信区间:1.15,1.51)与改良水源的使用相关。

结论

东非地区大约有四分之三的人口可以获得改良饮用水,但该地区的水质仍被认为较差。相关组织应共同合作以改善饮用水质量,特别关注贫困和低识字率较高、贫困家庭和农村居民等高危群体。增强妇女权能和增加大众媒体的接触也可以在加速东非地区采用改良饮用水源方面发挥重要作用。