Louie Jimmy Chun Yu, Tapsell Linda C
1School of Medicine, Faculty of Science,Medicine and Health,The University of Wollongong,Wollongong,NSW 2522,Australia.
Br J Nutr. 2015 Dec 14;114(11):1875-86. doi: 10.1017/S0007114515003542. Epub 2015 Sep 28.
This analysis aimed to examine the association between intake of sugars (total or added) and nutrient intake with data from a recent Australian national nutrition survey, the 2007 Australian National Children's Nutrition and Physical Activity Survey (2007ANCNPAS). Data from participants (n 4140; 51 % male) who provided 2×plausible 24-h recalls were included in the analysis. The values on added sugars for foods were estimated using a previously published ten-step systematic methodology. Reported intakes of nutrients and foods defined in the 2007ANCNPAS were analysed by age- and sex-specific quintiles of %energy from added sugars (%EAS) or %energy from total sugars (%ETS) using ANCOVA. Linear trends across the quintiles were examined using multiple linear regression. Logistic regression analysis was used to calculate the OR of not meeting a specified nutrient reference values for Australia and New Zealand per unit in %EAS or %ETS. Analyses were adjusted for age, sex, BMI z-score and total energy intake. Small but significant negative associations were seen between %EAS and the intakes of most nutrient intakes (all P<0·001). For %ETS the associations with nutrient intakes were inconsistent; even then they were smaller than that for %EAS. In general, higher intakes of added sugars were associated with lower intakes of most nutrient-rich, 'core' food groups and higher intakes of energy-dense, nutrient-poor 'extra' foods. In conclusion, assessing intakes of added sugars may be a better approach for addressing issues of diet quality compared with intakes of total sugars.
本分析旨在利用近期澳大利亚全国营养调查(2007年澳大利亚全国儿童营养与身体活动调查,即2007ANCNPAS)的数据,研究糖类(总糖或添加糖)摄入量与营养摄入之间的关联。分析纳入了提供两次可信的24小时膳食回顾的参与者数据(n = 4140;51%为男性)。食物中添加糖的含量采用先前发表的十步系统方法进行估算。使用协方差分析(ANCOVA),按添加糖占能量百分比(%EAS)或总糖占能量百分比(%ETS)的年龄和性别特定五分位数,分析2007ANCNPAS中定义的营养素和食物的报告摄入量。使用多元线性回归检验五分位数之间的线性趋势。采用逻辑回归分析计算每单位%EAS或%ETS未达到澳大利亚和新西兰特定营养素参考值的比值比(OR)。分析对年龄、性别、BMI z评分和总能量摄入进行了调整。%EAS与大多数营养素摄入量之间存在小但显著的负相关(所有P<0·001)。对于%ETS,与营养素摄入量的关联不一致;即便如此,其关联程度也小于%EAS。总体而言,添加糖摄入量较高与大多数营养丰富的“核心”食物组摄入量较低以及能量密集、营养贫乏的“额外”食物摄入量较高相关。总之,与总糖摄入量相比,评估添加糖摄入量可能是解决饮食质量问题的更好方法。