Analyzing childhood (0-59 months) malnutrition determinants in five West African Countries of Gabon, Gambia, Liberia, Mauritania, and Nigeria using survey logistic regression-insights from DHS data.

IF 3.2 3区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Archives of Public Health Pub Date : 2024-09-04 DOI:10.1186/s13690-024-01374-6
Reshav Beni, Shaun Ramroop, Faustin Habyarimana
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Abstract

Background: Malnutrition is one of the most critical health challenges confronting public health agencies in developing nations. This study aimed to determine the scope and underlying factors contributing to malnutrition in West African countries, specifically Gabon, Gambia, Liberia, Mauritania, and Nigeria.

Method: For this secondary data analysis, this study drew upon the demographic and health surveys (DHS) conducted within these West African nations. These surveys employed a complex sampling design involving a combination of stratification and cluster sampling in two stages, with varying probabilities of selection leading to weighted samples that effectively represented different components of the population. Given the intricacies of this sampling design, it is paramount to account for them when analyzing the survey data. To address this concern, this study applied a survey logistic regression model, which accommodates factors such as stratification, clustering, and sampling weights and departs from the assumption of independence inherent in the ordinary logistic regression model.

Results: The outcomes of this model revealed several variables that emerged as statistically significant (p < 0.05) determinants of malnutrition. These influential factors encompass the region of the respondent, the current age of the mother, the highest level of education attained by the mother, the source of drinking water, the type of toilet facility, the household's wealth status, the age and gender of the child, and whether the child experienced a fever in the preceding two weeks.

Conclusion: These findings demonstrate with poignant clarity the importance of primary health care interventions in the recognition and management of malnutrition. The countries of interest should invest in public health care interventions including community workshops and outreach programs. Workshops may occur at primary health care facilities during queue waits, or health workers may work with community leaders to perform workshops in areas of high foot traffic, such as places of worship, shopping hubs and collection points for financial aid or grants.

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利用调查逻辑回归分析加蓬、冈比亚、利比里亚、毛里塔尼亚和尼日利亚五个西非国家儿童(0-59 个月)营养不良的决定因素--来自人口与健康调查数据的启示。
背景:营养不良是发展中国家公共卫生机构面临的最严峻的健康挑战之一。本研究旨在确定造成西非国家(特别是加蓬、冈比亚、利比里亚、毛里塔尼亚和尼日利亚)营养不良的范围和根本因素:为了进行二次数据分析,本研究借鉴了在这些西非国家开展的人口与健康调查(DHS)。这些调查采用了复杂的抽样设计,包括分层抽样和分组抽样两个阶段,通过不同的选择概率产生加权样本,有效地代表了人口的不同组成部分。鉴于这种复杂的抽样设计,在分析调查数据时必须考虑到这些因素。为解决这一问题,本研究采用了调查逻辑回归模型,该模型考虑了分层、聚类和抽样权重等因素,并偏离了普通逻辑回归模型固有的独立性假设:该模型的结果表明,有几个变量在统计上具有显著意义(p 结论:该模型的结果表明,有几个变量在统计上具有显著意义(p 结论):这些研究结果清楚地表明了初级卫生保健干预措施在识别和管理营养不良方面的重要性。相关国家应投资于公共医疗保健干预措施,包括社区研讨会和外联计划。研讨会可在排队等候期间在初级卫生保健机构举办,卫生工作者也可与社区领袖合作,在人流量大的地方举办研讨会,如礼拜场所、购物中心和资助或补助金领取点。
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来源期刊
Archives of Public Health
Archives of Public Health Medicine-Public Health, Environmental and Occupational Health
CiteScore
4.80
自引率
3.00%
发文量
244
审稿时长
16 weeks
期刊介绍: rchives of Public Health is a broad scope public health journal, dedicated to publishing all sound science in the field of public health. The journal aims to better the understanding of the health of populations. The journal contributes to public health knowledge, enhances the interaction between research, policy and practice and stimulates public health monitoring and indicator development. The journal considers submissions on health outcomes and their determinants, with clear statements about the public health and policy implications. Archives of Public Health welcomes methodological papers (e.g., on study design and bias), papers on health services research, health economics, community interventions, and epidemiological studies dealing with international comparisons, the determinants of inequality in health, and the environmental, behavioural, social, demographic and occupational correlates of health and diseases.
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