布基纳法索儿童营养不良的社会经济和环境决定因素

IF 3.3 Q2 MULTIDISCIPLINARY SCIENCES
Alassane Soma , Pyrrus C. 1er Yehouenou , Mintodê Nicodème Atchadé , Windpanga Aristide Ouédraogo , Karim Traoré
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引用次数: 0

摘要

儿童营养不良仍然是撒哈拉以南非洲的一个重大公共卫生挑战,特别是在布基纳法索,那里持续存在的社会经济和环境差异加剧了这一问题的普遍存在。尽管采取了许多干预措施,但营养不良率仍然居高不下,特别是在农村社区。本研究旨在利用来自Nouna健康和人口监测系统(HDSS)的数据,通过检查家庭社会经济条件和环境因素,确定儿童营养不良的关键决定因素。采用了横断面分析设计,利用了2022年从2463个家庭收集的数据。对Logistic回归模型(包括简单和混合效应规格)进行了测试,以评估主要收入来源、供水、厕所类型、电力供应和保护花园的存在等因素对五岁以下儿童营养状况的影响。最后保留的模型是简单的逻辑回归,选择它的简约性和可解释性。分析确定的关键风险因素包括农村居住、对农业的依赖、缺乏受保护的花园以及使用火把照明。有趣的是,一些非传统的卫生习惯和使用替代水源与较低的营养不良几率有关。模型具有统计学意义(p<0.001), AIC为3075.028,伪- R2为0.065。这些研究结果强调了改善水利基础设施、加强农业抵御力、推广家庭菜园和扩大教育机会作为减少儿童营养不良途径的潜力。未来的研究应结合纵向和空间分析,以更好地捕捉营养结果的动态和背景驱动因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Socioeconomic and environmental determinants of child malnutrition in Burkina Faso
Child malnutrition remains a critical public health challenge in sub-Saharan Africa, particularly in Burkina Faso, where persistent socioeconomic and environmental disparities worsen its prevalence. Despite numerous interventions, malnutrition rates remain stubbornly high, especially in rural communities. This study aims to identify the key determinants of child malnutrition by examining household socioeconomic conditions and environmental factors using data from the Nouna Health and Demographic Surveillance System (HDSS). A cross-sectional analytical design was applied, drawing on data collected from 2,463 households in 2022. Logistic regression models, including both simple and mixed-effects specifications, were tested to assess the influence of factors such as main income source, water supply, toilet type, electricity access, and presence of a protected garden on the nutritional status of children under five. The final retained model was the simple logistic regression, selected for its parsimony and interpretability. The analysis identified key risk factors including rural residence, dependence on agriculture, absence of a protected garden, and use of torches for lighting. Interestingly, some non-conventional sanitation practices and use of alternative water sources were associated with lower odds of malnutrition. The model was statistically significant (p<0.001) with an AIC of 3075.028 and a pseudoR2 of 0.065. These findings highlight the potential of improving water infrastructure, strengthening agricultural resilience, promoting household gardens, and expanding educational opportunities as pathways to reduce child malnutrition. Future research should integrate longitudinal and spatial analyses to better capture dynamic and contextual drivers of nutritional outcomes.
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来源期刊
Scientific African
Scientific African Multidisciplinary-Multidisciplinary
CiteScore
5.60
自引率
3.40%
发文量
332
审稿时长
10 weeks
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