南埃塞俄比亚康索的家庭饮食多样性及其相关因素

Deykanto Urmale, A. Alemayehu, E. M. Woldesemayat
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引用次数: 1

摘要

背景:多样化饮食有助于满足人体必需营养素的最低需求。饮食不多样化的家庭往往因营养缺乏而面临健康状况不佳的问题。这是埃塞俄比亚南部农村社区的普遍问题。目的:了解埃塞俄比亚南部孔索地区家庭膳食多样性的流行情况及相关因素。方法:于2018年1 - 2月进行基于社区的横断面研究。在该地区的40个Kebles中,有9个是随机选择的。数据的收集使用了一份经预先测试的问卷,该问卷改编自世界粮食及农业组织。使用Epi info version 7输入数据,导出到SPSS version 20.0进行分析。计算频率。计算比值比和相应的95%置信区间,以确定饮食多样性不足的危险因素。结果:共有423户家庭参与了研究。超过9%的家庭膳食多样性高,48.5%的家庭膳食多样性中等,41.9%的家庭膳食多样性低。食用蔬菜(87.5%)和谷物(78.7%)的家庭比例很高,而食用奶制品的家庭比例很低;16个(2.8%)和海产品;11(1.9%)。农村户籍[AOR 2.0, CI(1.2, 3.5)]、女性户主家庭[AOR 5.4, CI(1.5, 19.4)]、低教育水平、缺乏膳食多样性信息[AOR 1.8, CI(1.1, 2.9)]和低家庭财富指数[AOR 1.6, CI(10, 2.6)]增加了家庭膳食多样性不足的风险。结论:在本研究中,我们发现膳食多样性不足的患病率很高。饮食主要以淀粉类主食(谷物和蔬菜)为主,很少有动物产品。许多因素增加了家庭饮食多样性不足的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Households Dietary Diversity and Associated Factors in Konso, South Ethiopia
Background: Diversifed diet promotes meeting the minimum requirement of essential nutrients. Households with nondiversifed diet often face poor health status which results from nutrient defciency. This is common problem in rural communities of southern Ethiopia. Objective: To assess the prevalence and associated factors of household dietary diversity in Konso district South Ethiopia. Methods: A community based cross-sectional study was conducted from January to February, 2018. Out of 40 Kebles in the district, 9 were randomly selected. Data were collected using a pre-tested questionnaire which was adapted from the World Food and Agricultural Organization. Data were entered in using Epi info version 7 and exported to SPSS version 20.0 for analysis. Frequencies were calculated. Odds ratio with the corresponding 95% confdence interval was calculated to identify risk factors of in adequate dietary diversity. Result: A total of 423 households participated in the study. More than9% of the households had high dietary diversity, while 48.5% had medium and 41.9% had low dietary diversity. High proportion of the study households consumed vegetables (87.5%) and cereals (78.7%) while very low proportion of them consumed milk products; 16 (2.8%) and sea foods; 11 (1.9%). Rural residency [AOR 2.0, CI (1.2, 3.5)], female headed households[AOR 5.4, CI (1.5, 19.4)], lower educational level, lack of information on dietary diversity[AOR 1.8, CI (1.1, 2.9)] and low household wealth index [AOR 1.6, CI(10, 2.6)] increased the risk of inadequate household dietary diversity. Conclusion: In this study, we found high prevalence of inadequate dietary diversity. The diets were mainly based on starchy staple (cereals and vegetable) with little animal products. A number of factors increased the risk of inadequate household dietary diversity.
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