School of Health and Related Research, University of Sheffield, Sheffield S1 4DA, UK.
Health Improvement Directorate, Public Health England, London SE1 6LH, UK.
Nutrients. 2018 Feb 6;10(2):177. doi: 10.3390/nu10020177.
The aim of this study was to examine empirical dietary patterns in UK adults and their association with sociodemographic characteristics, lifestyle factors, self-reported nutrient intake, nutrient biomarkers, and the Nutrient-based Diet Quality Score (NDQS) using National Diet and Nutrition Survey data 2008-2012 ( = 2083; mean age 49 years; 43.3% male). Four patterns explained 13.6% of the total variance: 'Snacks, fast food, fizzy drinks' (SFFFD), 'Fruit, vegetables, oily fish' (FVOF), 'Meat, potatoes, beer' (MPB), and 'Sugary foods, dairy' (SFD). 'SFFFD' was associated positively with: being male; smoking; body mass index (BMI); urinary sodium; intake of non-milk extrinsic sugars (NMES), fat and starch; and negatively with: age; plasma carotenoids; and NDQS. 'FVOF' was associated positively with: being non-white; age; income; socioeconomic classification (National Statistics Socio-economic Classifications; NSSEC); plasma carotenoids; intake of non-starch polysaccharides and polyunsaturated fatty acids. It was negatively associated with: being male, smoking, BMI, urinary sodium, intake of saturated fat; and NMES and NDQS. Whilst the patterns explained only 13.6% of the total variance, they were associated with self-reported nutrient intake, biomarkers of nutrient intake, sociodemographic and lifestyle variables, and the NDQS. These findings provide support for dietary patterns analyses as a means of exploring dietary intake in the UK population to inform public health nutrition policy and guidance.
本研究旨在利用 2008-2012 年英国国家饮食与营养调查数据(n = 2083;平均年龄 49 岁;男性占 43.3%),调查英国成年人的实证饮食模式及其与社会人口特征、生活方式因素、自我报告的营养素摄入量、营养素生物标志物和基于营养素的饮食质量评分(NDQS)的关系。四种模式解释了总方差的 13.6%:“零食、快餐、汽水”(SFFFD)、“水果、蔬菜、油性鱼”(FVOF)、“肉、土豆、啤酒”(MPB)和“含糖食品、乳制品”(SFD)。“SFFFD”与以下因素呈正相关:男性;吸烟;体重指数(BMI);尿钠;非乳外源性糖(NMES)、脂肪和淀粉的摄入量;与以下因素呈负相关:年龄;血浆类胡萝卜素;和 NDQS。“FVOF”与以下因素呈正相关:非白种人;年龄;收入;社会经济分类(国家统计局社会经济分类;NSSEC);血浆类胡萝卜素;非淀粉多糖和多不饱和脂肪酸的摄入量。它与以下因素呈负相关:男性、吸烟、BMI、尿钠、饱和脂肪摄入量;以及 NMES 和 NDQS。虽然这些模式仅解释了总方差的 13.6%,但它们与自我报告的营养素摄入量、营养素摄入量的生物标志物、社会人口学和生活方式变量以及 NDQS 有关。这些发现为饮食模式分析提供了支持,作为探索英国人群饮食摄入的一种方法,为公共卫生营养政策和指导提供信息。