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| 首页 >>专家团队>>主成分分析法分析肥胖与非肥胖人群的膳食营养结构 |
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| 主成分分析法分析肥胖与非肥胖人群的膳食营养结构 (1) |
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摘要：目的研究肥胖与非肥胖膳食、营养结构的特点。方法利用中国健康与营养调查研究项目中山东省的相关资料，选取2000年调查中18-65岁成人作为研究对象。用主成分分析的方法从整体上分析肥胖与非肥胖人群膳食、营养结构。用SAS软件整理分析数据资料。结果肥胖与非肥胖人群的膳食模式不同，但营养结构接近。(1)膳食模式：肥胖人群的第一主成分的贡献率为22％，非肥胖人群的第一主成分的贡献率为19％；到第5个主成分时累计贡献率可达70％以上。根据各主成分的特征向量大小和方向，肥胖人群的第一主成分主要由酒类、糖类、盐酱调料类和动植物油类构成，而非肥胖人群的第一主成分主要由动植物油类、盐酱调料类、谷类和根茎类构成。表明肥胖与非肥胖人群的膳食模式有所不同，肥胖人群缺少谷类和根茎类，且有喜食甜食和酒类嗜好。(2)营养结构：肥胖人群的第一主成分的贡献率为49％，非肥胖人群的第一主成分的贡献率为52％；到第3个主成分时累计贡献率可达70％以上。根据各主成分的特征向量大小和方向，两类人群的营养结构基本相似。
Abstract：Objective To study the Characters of dietary structure and nutrition structure between the obese people and non-obese people．Methods Making use Of ShandOng Province data 0n China HeaIth And Nutrition Survey and choosing 18Y-65Y adults as study people of 2000 year survey．The principal analysis method was applied to analysize dietary structure and nutrition structure between the obese people and non-obese people．The SAS soft ware was used． Results There are differences between the obese and nOn—obese people in terms of dietary pattern，but the nutrition structure is almost the same．(1)Dietary structure：the contribution proportion of No．1 principal component is 22％，while that of non-obese people is l7％，the cumulative of the first 5 principal components is 70％．According to the size and direction of the eigenvalues．No．1 principal component of obese population consisted mainly of wines、sugar、salt taste、heavy condiments and oil，while that of non-obese population are mainly composed of oils、salt taste、heavy condiments and grains、rootstocks which demonstrated that the dietary patterns were different between the two kinds of populations，lacking grains and rootstocks and like the sweet food and alcoh01．(2)nutrition structure：the dedicated rate of the No．1 principal component of the obese patients is 49％and 52％of the non-obese people lthere will be 70％at the third kind of the principal components．The nutrition structure of the two kinds of the people is similar according to the burden and direction of the principal components．
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