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坦桑尼亚育龄妇女的食物知识水平:为食物知识问卷制定评分标准。

Food knowledge level among Tanzanian women of childbearing age: developing a score for the food knowledge questionnaire.

机构信息

Laboratory of Dietetics and Clinical Nutrition, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Via Bassi 21, Pavia 27100, Italy.

Section of Biostatistics and Clinical Epidemiology, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia 27100, Italy.

出版信息

J Nutr Sci. 2023 Apr 4;12:e42. doi: 10.1017/jns.2023.28. eCollection 2023.

DOI:10.1017/jns.2023.28
PMID:37123387
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10131052/
Abstract

Food knowledge (FK) is one of the factors that contribute to malnutrition conditions in developing countries, together with food safety, food security and food access. FK is defined as 'the competence to understand healthy nutrition concepts'; it impacts individuals' life due to its relationship with food behaviour and eating habits. Therefore, acting on FK can represent a starting point for improving the health status of vulnerable populations. The authors present a total score of an FK questionnaire (FKQ) and its relation to the socio-demographic characteristics of a specific target population: Tanzanian women of childbearing age. The results of the manuscript complement evidence of construct validity of the FKQ by providing an algorithm to compute a total score as a measure of FK. The strength of this tool, and its score, lies in the fact that the questionnaire has been validated and is easy to administer.

摘要

食品知识(FK)是导致发展中国家营养不良状况的因素之一,与食品安全、粮食安全和粮食获取共同作用。FK 被定义为“理解健康营养概念的能力”;由于其与食物行为和饮食习惯的关系,它会影响个人的生活。因此,对 FK 采取行动可以代表改善弱势群体健康状况的起点。作者提出了 FK 问卷(FKQ)的总分及其与特定目标人群(坦桑尼亚育龄妇女)社会人口特征的关系。本文的结果通过提供一种计算 FK 总分的算法,补充了 FKQ 结构有效性的证据。该工具及其得分的优势在于该问卷已经过验证,易于管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9bf/10131052/1486ab304cc5/S2048679023000289_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9bf/10131052/1486ab304cc5/S2048679023000289_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9bf/10131052/1486ab304cc5/S2048679023000289_fig1.jpg

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本文引用的文献

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2
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Nutrition. 2021 Oct;90:111218. doi: 10.1016/j.nut.2021.111218. Epub 2021 Mar 3.
3
Profiling household double and triple burden of malnutrition in sub-Saharan Africa: prevalence and influencing household factors.
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Public Health Nutr. 2022 Jun;25(6):1563-1576. doi: 10.1017/S1368980021001750. Epub 2021 Apr 26.
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Int J Environ Res Public Health. 2018 Mar 28;15(4):615. doi: 10.3390/ijerph15040615.
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