Adults with healthier dietary patterns have healthier beverage patterns
Adults with healthier dietary patterns have healthier beverage patterns
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DOI：
10.1093/jn/136.11.2901
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发表时间：
2006-11-01
影响因子：
4.2
通讯作者：
Popkin, Barry M.
中科院分区：
文献类型：
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作者：
Duffey, Kiyah J.;Popkin, Barry M.
目前还缺乏研究食物和饮料摄取模式之间关系的研究，大多数研究都集中在软饮料上，而关于整体饮料模式的研究则缺乏。利用99-02年全国健康和营养检查调查中19岁及以上成年人的数据，我们独立检查了饮料和食物的摄入模式，以及它们之间的相互关系。聚类分析生成了饮料和食物的相互排斥的摄入量模式。多项Logistic回归模型为每种食物模式提供了给定饮料模式的概率；然后，我们比较了每种食物模式的给定饮料模式的概率。出现了6种饮料和6种食物模式。饮料模式显示，高热量、甜味、无热量和减肥饮料倾向于相互独立地消费。在零食和高脂肪食品组中，与在水、咖啡和茶组中的优势比(OR：0.51[95%CI：0.52-0.97])相比，在咖啡和苏打水(OR：1.62[95%CI：1.27-2.06])或营养素和苏打水(OR：1.51[95%CI：1.14-2.00])饮料组中的几率增加，而在水和茶中(OR：0.51[95%CI：0.52-0.97])组中的几率降低。蔬菜模式的情况正好相反。此外，有更健康饮食模式的人比没有健康饮食模式的人有更高的概率喝无热量饮料。提高人们对含卡路里饮料对总体能量摄入量的贡献以及与这些饮料相关的饮食模式的认识，有助于制定旨在减少人口能量摄入量的政策。
There is an absence of research examining associations between food and beverage intake patterns and most research has centered on soft drinks, whereas research on overall beverage patterns is absent. Using data from the National Health and Nutrition Examination Survey 99-02 for adults aged 19 y and older, we independently examined beverage and food intake patterns, as well as their interrelations. Cluster analysis generated mutually exclusive intake patterns for beverages and foods. Multinomial logistic regression models provided the odds of a given beverage pattern for each food pattern; we then compared the probability of a given beverage pattern for each food pattern. Six beverage and 6 food patterns emerged. Beverage patterns revealed that calorically sweetened, noncaloric, and diet beverages tended to be consumed independently of one another. Being in the Snacks and High-Fat Foods cluster increased the odds of being in the Coffee and Soda (odds ratio (OR): 1.62 [95% CI: 1.27-2.06]) or Nutrients and Soda (OR: 1.51 [95% CI: 1.14-2.00]) beverage clusters and decreased the odds of being in the Water and Tea (OR: 0.51 [95% CI: 0.52-0.97]) cluster relative to the odds of being in the Water, Coffee, and Tea cluster. The opposite was true for the Vegetable pattern. Furthermore, persons who had a healthier food pattern had a higher probability of having a noncaloric beverage pattern than persons who did not. Increasing awareness of both the contribution of calorie-containing beverages to overall energy intake and dietary patterns associated with these beverages helps inform policies targeted at reducing energy intake in the population.