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基于实证的英国成年人饮食模式与社会人口特征、生活方式和饮食质量有关。

Empirically Derived Dietary Patterns in UK Adults Are Associated with Sociodemographic Characteristics, Lifestyle, and Diet Quality.

机构信息

School of Health and Related Research, University of Sheffield, Sheffield S1 4DA, UK.

Health Improvement Directorate, Public Health England, London SE1 6LH, UK.

出版信息

Nutrients. 2018 Feb 6;10(2):177. doi: 10.3390/nu10020177.

Abstract

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.

摘要

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。

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