Dietary patterns in the Southampton Women's Survey.

Dietary patterns in the Southampton Women's Survey.
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DOI:
10.1038/sj.ejcn.1602469
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发表时间:
2006-12
影响因子:
4.7
通讯作者:
Inskip, H. M.
Inskip, H. M.
中科院分区:
医学3区
文献类型:
--
作者:
Crozier, S. R.;Robinson, S. M.;Borland, S. E.;Inskip, H. M.

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膳食模式分析作为总结膳食数据多维性的一种手段,正受到越来越多的关注。这项研究的目的是比较主成分分析和聚类分析,使用从英国年轻女性收集的饮食数据。饮食评估采用一份由访谈者填写的100项食物频率问卷。采用主成分分析和聚类分析检查饮食模式。英国南安普顿。主成分分析确定了6125名年龄在20至34岁之间的未怀孕妇女的两种重要模式:“谨慎”饮食和“高能量”饮食。聚类分析定义了两个聚类,一个“更健康”的聚类和一个“不太健康”的聚类。谨慎饮食评分与两类之间存在较强的相关性,较不健康组的平均谨慎饮食评分为- 0.73标准差,较健康组的平均谨慎饮食评分为+0.83标准差;两组之间高能量饮食得分的差异要小得多。两种方法都揭示了相似的饮食模式。与使用聚类分析确定的二分法相比,主成分分析结果的连续性被认为是有利的。
Dietary pattern analysis is receiving increasing attention as a means of summarising the multi-dimensional nature of dietary data. This research aims to compare principal component analysis and cluster analysis using dietary data collected from young women in the UK. Diet was assessed using a 100-item interviewer-administered food frequency questionnaire. Principal component analysis and cluster analysis were used to examine dietary patterns. Southampton, UK. 6125 non-pregnant women aged 20 to 34 years Principal component analysis identified two important patterns: a ‘prudent’ diet, and a ‘high-energy’ diet. Cluster analysis defined two clusters, a ‘more healthy’ and a ‘less healthy’ cluster. There was a strong association between the prudent diet score and the two clusters, such that the mean prudent diet score in the less healthy cluster was −0.73 standard deviations and in the more healthy cluster was +0.83 standard deviations; the difference in the high-energy diet score between the two clusters was considerably smaller. Both approaches revealed a similar dietary pattern. The continuous nature of the outcome of principal component analysis was considered to be advantageous compared with the dichotomy identified using cluster analysis.
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