Nicklas Theresa A, O'Neil Carol E, Mendoza Jason, Liu Yan, Zakeri Issa F, Berenson Gerald S
Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas 77030-2600, USA.
J Am Coll Nutr. 2008 Oct;27(5):553-60. doi: 10.1080/07315724.2008.10719738.
Some beverages are nutrient dense, but they are often excluded from nutrient density calculations. The purpose of this study was to assess whether the energy-nutrient association changed when beverages were included in these calculations.
Applying a cross-sectional design, a 24-hour dietary recall was collected on each participant. Subjects/
440 young adults (ages 19-28 years) in Bogalusa, Louisiana participated in this study.
Mean nutrient intakes and food group consumption were examined across the energy density (ED) tertiles using two calculation methods: one with food and all beverages (excluding water) (ED1) and one including food and only energy containing beverages (ED2). Regression models were used and multiple comparisons were performed using the Tukey-Kramer procedure. A p-value < 0.05 was considered to be significant.
With increasing ED, there was a significant increase in the consumption of total meats (ED1 p < 0.05; ED2 p < 0.01). In contrast, there was a significant decrease in consumption of fruits/juices (ED1 p < 0.01; ED2 p < 0.0001), vegetables (ED1 p < 0.01; ED2 p < 0.05), beverages (both p < 0.0001) and total sweets with increasing ED (both p < 0.0001). There was a significantly higher mean intake of total protein (grams) (ED2 p < 0.0001), amino acids (ED1 histidine/leucine p < 0.05; ED2 p < 0.0001), and total fat (grams) (ED1 p < 0.0001; ED2 p < 0.0001) with higher ED compared to lower ED. The percent energy from protein (ED1 p < 0.05; ED2 p < 0.0001), total fat (both p < 0.001) and saturated fatty acids (both p < 0.0001) significantly increased and the percent energy from carbohydrate (both p < 0.0001) and sucrose (both p < 0.0001) significantly decreased with increasing ED.
This study suggests that ED may influence the ND of the diet depending on whether energy containing beverages are included or excluded in the analysis.
一些饮料富含营养,但在营养密度计算中常被排除在外。本研究的目的是评估在这些计算中纳入饮料后,能量-营养素之间的关联是否会发生变化。
采用横断面设计,收集了每位参与者的24小时饮食回忆。
研究对象/地点:路易斯安那州博加卢萨市的440名年轻成年人(年龄在19 - 28岁之间)参与了本研究。
使用两种计算方法,对能量密度(ED)三分位数的平均营养素摄入量和食物组消费量进行了检查:一种方法是将食物和所有饮料(不包括水)纳入计算(ED1),另一种方法是仅将食物和含能量饮料纳入计算(ED2)。使用回归模型,并采用Tukey-Kramer程序进行多重比较。p值<0.05被认为具有统计学意义。
随着ED的增加,总肉类的消费量显著增加(ED1,p<0.05;ED2,p<0.01)。相比之下,随着ED的增加,水果/果汁(ED1,p<0.01;ED2,p<0.0001)、蔬菜(ED1,p<0.01;ED2,p<0.05)、饮料(两者p<0.0001)和总甜食(两者p<0.0001)的消费量显著下降。与低ED相比,高ED组的总蛋白质(克)平均摄入量显著更高(ED2,p<0.0001)、氨基酸(ED1组氨酸/亮氨酸,p<0.05;ED2,p<0.0001)和总脂肪(克)平均摄入量显著更高(ED1,p<0.0001;ED2,p<0.0001)。随着ED的增加,来自蛋白质的能量百分比(ED1,p<0.05;ED2,p<0.0001)、总脂肪(两者p<0.001)和饱和脂肪酸(两者p<0.0001)显著增加,来自碳水化合物(两者p<0.0001)和蔗糖(两者p<0.0001)的能量百分比显著下降。
本研究表明,根据分析中是否纳入含能量饮料,ED可能会影响饮食的营养密度。