1Department of Food Economics and Consumption Studies,University of Kiel,Olshausenstraße 40,24098 Kiel,Germany.
Public Health Nutr. 2018 Feb;21(3):558-570. doi: 10.1017/S1368980017003378. Epub 2017 Nov 27.
The present study aimed to derive food purchase patterns considering the convenience level of foods. Associations between identified patterns and dietary quality were analysed, as well as household characteristics associated with the dietary patterns.
A Convenience Food Classification Scheme (CFCS) was developed. After classifying basic food groups into the CFCS, the formed groups were used to apply a factor analysis to identify convenience-based food purchase patterns. For these patterns nutrient and energy densities were examined. Using regression analysis, associations between the adherence to the patterns and household characteristic and attitude variables were analysed.
The study used representative German food purchase data from 2011. Approximately 12 million purchases of 13 131 households were recorded in these data.
Three convenience-based patterns were identified: a low-convenience, a semi-convenience and a ready-to-eat food pattern. Tighter adherence to the semi-convenience pattern was shown to result in the lowest nutrient and highest energy densities. Important factors influencing adherence to the patterns were household size, presence of children and attitudes. Working full-time was negatively associated with adherence to the low-convenience pattern and positively with the ready-to-eat pattern.
Convenience foods were an important part of households' food baskets which in some cases led to lower nutritional quality. Therefore, it is important to offer convenience foods higher in nutrient density and lower in energy density. Interventions targeted on enhancing cooking skills could be an effective strategy to increase purchases of unprocessed foods, which, in turn, could also contribute to an improved diet quality.
本研究旨在考虑食品便利性水平来推导出食品购买模式。分析了所识别出的模式与饮食质量之间的关联,以及与饮食模式相关的家庭特征。
开发了一种便利食品分类方案(CFCS)。在将基本食品组分类到 CFCS 中之后,将形成的组用于应用因子分析来识别基于便利性的食品购买模式。对于这些模式,检查了营养素和能量密度。使用回归分析,分析了这些模式与家庭特征和态度变量之间的一致性。
本研究使用了来自 2011 年的具有代表性的德国食品购买数据。这些数据记录了大约 13131 户家庭的 1200 万次购买。
确定了三种基于便利性的模式:低便利模式、半便利模式和即食食品模式。更严格地遵守半便利模式会导致最低的营养素和最高的能量密度。影响模式一致性的重要因素包括家庭规模、儿童的存在和态度。全职工作与低便利模式的一致性呈负相关,与即食模式的一致性呈正相关。
便利食品是家庭食品篮子的重要组成部分,在某些情况下会导致营养质量降低。因此,提供更高营养密度和更低能量密度的便利食品非常重要。旨在增强烹饪技能的干预措施可能是增加未加工食品购买的有效策略,这反过来也有助于改善饮食质量。