MRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, Tremona Road, Southampton, SO16 6YD, UK.
NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK.
Nutr J. 2021 Jan 12;20(1):5. doi: 10.1186/s12937-020-00658-1.
UK adolescents consume fewer fruits and vegetables and more free sugars than any other age group. Established techniques to understand diet quality can be difficult to use with adolescents because of high participant burden. This study aimed to identify key foods that indicate variation in diet quality in UK adolescents for inclusion in a short food frequency questionnaire (FFQ) and to investigate the associations between adolescent diet quality, nutritional biomarkers and socio-demographic factors.
Dietary, demographic and biomarker data from waves 1-8 of the National Diet and Nutrition Survey rolling programme were used (n=2587; aged 11-18 years; 50% boys; n=≤997 biomarker data). Principal component analysis (PCA) was applied to 139 food groups to identify the key patterns within the data. Two diet quality scores, a 139-group and 20-group, were calculated using the PCA coefficients for each food group and multiplying by their standardised reported frequency of consumption and then summing across foods. The foods with the 10 strongest positive and 10 strongest negative coefficients from the PCA results were used for the 20-group score. Scores were standardised to have a zero mean and standard deviation of one.
The first PCA component explained 3.0% of variance in the dietary data and described a dietary pattern broadly aligned with UK dietary recommendations. A correlation of 0.87 was observed between the 139-group and 20-group scores. Bland-Altman mean difference was 0.00 and 95% limits of agreement were - 0.98 to 0.98 SDs. Correlations, in the expected direction, were seen between each nutritional biomarker and both scores; results attenuated slightly for the 20-group score compared to the 139-group score. Better diet quality was observed among girls, non-white populations and in those from higher socio-economic backgrounds for both scores.
The diet quality score based on 20 food groups showed reasonable agreement with the 139-group score. Both scores were correlated with nutritional biomarkers. A short 20-item FFQ can provide a meaningful and easy-to-implement tool to assess diet quality in large scale observational and intervention studies with adolescents.
英国青少年摄入的水果和蔬菜比任何其他年龄段都少,摄入的游离糖却比任何其他年龄段都多。现有的评估饮食质量的技术由于参与者负担过重,难以用于青少年。本研究旨在确定英国青少年饮食质量差异的关键食物,以便纳入简短的食物频率问卷(FFQ),并探讨青少年饮食质量、营养生物标志物和社会人口因素之间的关系。
使用国家饮食与营养调查滚动计划第 1-8 波的饮食、人口统计和生物标志物数据(n=2587;年龄 11-18 岁;50%为男孩;n=≤997 项生物标志物数据)。对 139 种食物组进行主成分分析(PCA),以确定数据中的主要模式。使用每个食物组的 PCA 系数计算 139 组和 20 组两种饮食质量评分,乘以标准化报告的消费频率,然后对所有食物进行求和。从 PCA 结果中选出前 10 个最强正系数和前 10 个最强负系数的食物用于 20 组评分。评分标准化为零均值和标准差为 1。
第一主成分解释了饮食数据中 3.0%的方差,描述了一种与英国饮食建议大致相符的饮食模式。139 组和 20 组评分之间的相关性为 0.87。Bland-Altman 平均差异为 0.00,95%一致性界限为-0.98 至 0.98 标准差。两种评分与每个营养生物标志物的相关性均呈预期方向;与 139 组评分相比,20 组评分的相关性略有减弱。两个评分都表明,女孩、非白色人群和社会经济背景较高的人群饮食质量更好。
基于 20 种食物的饮食质量评分与 139 组评分具有较好的一致性。两种评分均与营养生物标志物相关。简短的 20 项 FFQ 可以为评估青少年的饮食质量提供一种有意义且易于实施的工具,适用于大型观察性和干预性研究。