Bailey Regan L, Mitchell Diane C, Miller Carla K, Still Christopher D, Jensen Gordon L, Tucker Katherine L, Smiciklas-Wright Helen
Department of Nutritional Sciences, Pennsylvania State University, University Park, PA 16801, USA. rkb@
J Nutr. 2007 Feb;137(2):421-6. doi: 10.1093/jn/137.2.421.
Dietary patterns reflect habitual exposure of foods and nutrients and are a preferred means to assess diet and disease relations. Our objective was to design a screening tool to assess diet quality and dietary patterns among older adults and to relate the patterns to markers of general health and nutrition status. We used a population-specific data-based approach to design a diet screening instrument that was tested among subjects sampled from the Geisinger Rural Aging Study cohort (n=205). All participants attended a local clinic and had biochemical, anthropometric, and other health data collected. Dietary information was obtained via 24-h recall. We used principle components analysis to derive dietary patterns, which were then compared with nutritional outcomes using Pearson partial correlations, controlling for energy, age, BMI, and supplement use. Two dietary patterns were derived; 1 represented by more healthful foods and 1 by less optimal food choices. The healthy pattern was associated with more favorable biomarkers, more nutrient-dense diets, and lower waist circumference, whereas the converse was true for the second pattern. A screening tool can be used by older adults to identify dietary patterns that may relate to nutritional risk.
饮食模式反映了对食物和营养素的习惯性摄入情况,是评估饮食与疾病关系的首选方法。我们的目标是设计一种筛查工具,以评估老年人的饮食质量和饮食模式,并将这些模式与总体健康和营养状况指标联系起来。我们采用了基于特定人群数据的方法来设计一种饮食筛查工具,并在从盖辛格农村老龄化研究队列中抽取的受试者(n = 205)中进行了测试。所有参与者都前往当地诊所,收集了生化、人体测量和其他健康数据。通过24小时回顾法获取饮食信息。我们使用主成分分析来推导饮食模式,然后使用Pearson偏相关分析将其与营养结果进行比较,同时控制能量、年龄、体重指数和补充剂使用情况。得出了两种饮食模式;一种以更健康的食物为代表,另一种则以不太理想的食物选择为代表。健康模式与更有利的生物标志物、营养更丰富的饮食以及更小的腰围相关,而第二种模式则相反。老年人可以使用一种筛查工具来识别可能与营养风险相关的饮食模式。