Aceves-Martins Magaly, Löfstedt Anneli, Moreno-García Carlos Francisco, Zandstra Elizabeth H, Wanders Anne J, de Roos Baukje
Rowett Institute, University of Aberdeen, Aberdeen, UK.
School of Computing, Engineering and Technology, Robert Gordon University, Aberdeen, UK.
Public Health Nutr. 2025 Apr 11;28(1):e76. doi: 10.1017/S1368980025000473.
We determined whether dietary species richness (DSR) (i) can be robustly measured using 4-day food intake data, (ii) is dependent on socio-demographic characteristics and (iii) is associated with diet quality.
The National Diet and Nutrition Survey (NDNS) nutrient databank 2018-2019 was expanded to include FoodEx2 food classifications, ingredients, the number and identity of unique species, Nutrient Rich Food 8·3 (NRF 8·3) Index scores and greenhouse gas emissions. Four-day food intake data and socio-demographic variables were used to calculate diet quality and DSR on the food and diet level.
The United Kingdom (UK).
Participants from NDNS 9-11 (2016-2019).
Composite dishes had the highest DSR (median 8 (Q1 = 4, Q3 = 12)), followed by seasoning, sauces and condiments (median 7, (Q1 = 4, Q3 = 10)) and, grains and grain-based products (median 5, (Q1 = 2, Q3 = 7)). Median DSR over 4 days was 49 (Q1 = 43, Q3 = 56; range 14-92), with the first 2 days achieving 80 % of DSR measured over 4 days. DSR was significantly higher in those who were younger, those with a higher household income or those with a lower level of deprivation (all < 0·001). Higher DSR was associated with a small but significant improvement in nutritional quality ( < 0·001). Also, adherence to dietary guidelines such as fibre, fruits and vegetables and fish was associated with significantly higher DSR (all < 0·001).
We successfully established DSR based on 4-day food intake data. We also identified opportunities to improve DSR by increasing the consumption of fruits, vegetables, fibre and fish.
我们确定了饮食物种丰富度(DSR)是否(i)可以通过4天的食物摄入量数据进行可靠测量,(ii)是否依赖于社会人口学特征,以及(iii)是否与饮食质量相关。
将2018 - 2019年国家饮食与营养调查(NDNS)营养数据库进行扩展,纳入FoodEx2食品分类、成分、独特物种的数量和种类、营养丰富食物8·3(NRF 8·3)指数得分以及温室气体排放量。使用4天的食物摄入量数据和社会人口学变量来计算食物和饮食层面的饮食质量和DSR。
英国。
来自NDNS 9 - 11(2016 - 2019)的参与者。
复合菜肴的DSR最高(中位数为8(第一四分位数 = 4,第三四分位数 = 12)),其次是调味料、酱汁和调味品(中位数为7,(第一四分位数 = 4,第三四分位数 = 10))以及谷物和谷物制品(中位数为5,(第一四分位数 = 2,第三四分位数 = 7))。4天内的DSR中位数为49(第一四分位数 = 43,第三四分位数 = 56;范围为14 - 92),前2天达到了4天测量的DSR的80%。年龄较小、家庭收入较高或贫困程度较低的人群的DSR显著更高(均P < 0·001)。较高的DSR与营养质量的小幅但显著改善相关(P < 0·001)。此外,遵循膳食纤维、水果和蔬菜以及鱼类等饮食指南与显著更高的DSR相关(均P < 0·001)。
我们成功基于4天的食物摄入量数据建立了DSR。我们还确定了通过增加水果、蔬菜、膳食纤维和鱼类的摄入量来提高DSR的机会。