Department of Agricultural Economics and Rural Development, University of Goettingen, Platz der Goettinger Sieben 5, 37073 Göttingen, Germany.
Africa Harvest Biotech Foundation International, Westlands, Nairobi, Kenya.
Public Health Nutr. 2019 Mar;22(3):391-403. doi: 10.1017/S1368980018002756. Epub 2018 Oct 31.
Various indicators and assessment tools exist to measure diets and nutrition. Most studies eventually rely on one approach. Relatively little is known about how closely results match when different tools are used in the same context. The present study compares and correlates different indicators for the same households and individuals to better understand which indicators can be used as proxies for others.
A survey of households and individuals was carried out in Kenya in 2015. Seven-day food consumption and 24 h dietary recalls were administered at household and individual level, respectively. Individual height and weight measures were taken. Different indicators of food access (energy consumption, household dietary diversity scores), dietary quality (individual dietary diversity scores, micronutrient intakes) and nutrition (anthropometric indicators) were calculated and correlated to evaluate associations.
Rural farm households in western Kenya.ParticipantsData collected from 809 households and 1556 individuals living in these households (782 female adults, 479 male adults, 295 children aged 6-59 months).
All measures of food access and dietary quality were positively correlated at individual level. Household-level and individual-level dietary indicators were also positively correlated. Correlations between dietary indicators and anthropometric measures were small and mostly statistically insignificant.
Dietary indicators from 7d food consumption recalls at the household level can be used as proxies of individual dietary quality of children and male and female adults. Individual dietary diversity scores are good proxies of micronutrient intakes. However, neither household-level nor individual-level dietary indicators are good proxies of individual nutritional status in this setting.
有多种指标和评估工具可用于衡量饮食和营养。大多数研究最终都依赖于一种方法。但对于在同一背景下使用不同工具时,结果的匹配程度如何,人们知之甚少。本研究比较和关联了同一家庭和个体使用的不同指标,以更好地了解哪些指标可以相互替代。
2015 年在肯尼亚对家庭和个体进行了一项调查。分别在家庭和个体层面进行了 7 天的食物消费和 24 小时膳食回忆。个体的身高和体重测量也同时进行。计算了不同的食物获取指标(能量消耗、家庭饮食多样性评分)、膳食质量指标(个体饮食多样性评分、微量营养素摄入量)和营养指标(人体测量指标),并进行相关性评估,以了解关联性。
肯尼亚西部的农村农场家庭。
从居住在这些家庭中的 809 户家庭和 1556 名个体(782 名成年女性、479 名成年男性、295 名 6-59 月龄儿童)收集数据。
个体水平上,所有食物获取和膳食质量指标均呈正相关。家庭层面和个体层面的饮食指标也呈正相关。饮食指标与人体测量指标之间的相关性较小,且大多无统计学意义。
家庭层面 7d 食物消费回忆中的饮食指标可以作为儿童和成年男女个体膳食质量的替代指标。个体饮食多样性评分是微量营养素摄入量的良好替代指标。然而,在这种情况下,家庭层面和个体层面的饮食指标都不能很好地替代个体的营养状况。