James Delores C S
Department of Health Science Education, University of Florida, Gainesville, FL 32611-8210, USA.
J Am Diet Assoc. 2009 Feb;109(2):255-62. doi: 10.1016/j.jada.2008.10.052.
African Americans have a higher prevalence of diet-related chronic diseases than the general US population. Recent evidence suggests that examining dietary patterns rather than specific nutrients may better allow public health professionals to translate national dietary goals into practical dietary recommendations that are culturally relevant and sex-specific.
To examine and characterize the dietary patterns of African-American men and women using cluster analysis.
Participants older than the age of 18 years were recruited from a variety of locations and completed a self-administered questionnaire.
SUBJECTS/SETTING: Seven-hundred sixty-three African-American men and women in North Central Florida.
Cluster analysis was done with the VARCLUS procedure and Ward's clustering approach in the Statistical Analysis System program. The pseudo-t(2) statistic was then used to identify the optimal numbers of clusters of men and women with distinctive food-consumption patterns.
Cluster analyses identified six clusters of men with 13 distinctive dietary patterns and six clusters of women with 15 distinctive dietary patterns. Pairwise comparisons of group means indicated notable differences in intakes between clusters of women in all but two food clusters. Pairwise comparisons of group means indicated notable differences in intakes between clusters of men in all but two food clusters.
The study illustrated that cluster analysis can be used to identify groups of African Americans with unique patterns of food consumption. They also suggest that a single "typical" eating pattern does not exist for African Americans and that dietary pattern vary by sex.
非裔美国人患饮食相关慢性病的比例高于美国普通人群。最近的证据表明，研究饮食模式而非特定营养素，可能会让公共卫生专业人员更好地将国家饮食目标转化为具有文化相关性和针对性别的实用饮食建议。
采用聚类分析来研究和描述非裔美国男性和女性的饮食模式。
从多个地点招募18岁以上的参与者，并让他们完成一份自填式问卷。
研究对象/地点：佛罗里达州中北部的763名非裔美国男性和女性。
在统计分析系统程序中，使用VARCLUS程序和沃德聚类方法进行聚类分析。然后使用伪t(2)统计量来确定具有独特食物消费模式的男性和女性聚类的最佳数量。
聚类分析确定了6个男性聚类，有13种独特的饮食模式，以及6个女性聚类，有15种独特的饮食模式。组均值的两两比较表明，除了两个食物类别外，女性聚类之间的摄入量在所有类别中都存在显著差异。组均值的两两比较表明，除了两个食物类别外，男性聚类之间的摄入量在所有类别中都存在显著差异。
该研究表明，聚类分析可用于识别具有独特食物消费模式的非裔美国人群体。研究还表明，非裔美国人不存在单一的“典型”饮食模式，且饮食模式因性别而异。
