The KOJACH food frequency questionnaire for Chaoshan, China: development and description.

The KOJACH food frequency questionnaire for Chaoshan, China: development and description.
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DOI:
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发表时间:
2006
影响因子:
1.3
通讯作者:
Ke Li;T. Takezaki;Feng-Yan Song;P. Yu;Xu-Kai Lin;He-Lin Yang;Xiao-ling Deng;Yu-qi Zhang;Lai-Wen Lv;Xingxing Huang;K. Tajima
Ke Li;T. Takezaki;Feng-Yan Song;P. Yu;Xu-Kai Lin;He-Lin Yang;Xiao-ling Deng;Yu-qi Zhang;Lai-Wen Lv;Xingxing Huang;K. Tajima
中科院分区:
医学4区
文献类型:
--
作者:
Ke Li;T. Takezaki;Feng-Yan Song;P. Yu;Xu-Kai Lin;He-Lin Yang;Xiao-ling Deng;Yu-qi Zhang;Lai-Wen Lv;Xingxing Huang;K. Tajima

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本研究旨在编制一份覆盖广东省潮汕地区城乡的半定量食物频率问卷(SQFFQ),用于调查中国中年人食物摄入与生活方式相关疾病之间的关系。我们从普通人群中招募了417名受试者,并使用为期3天的称重饮食记录调查对饮食进行了评估。我们采用贡献分析(CA)和多元回归分析(MRA),以选择食品项目,覆盖高达90%的贡献和0.90 R2,分别。消费的食品总数为523种(城市人口443种,农村人口417种),29种营养素的摄入量是根据食品/食谱的实际消费量计算的。CA分别为合并、城市和农村地区选择了233、194和183种食物/食谱,然后MRA选择了196、157和160种。最后,125种食物/食谱被选为最终问卷。频率分为八类,并计算了标准的部分大小。为了采用特定地区的SQFFQ,现在计划进行有效性和再现性测试,以确定组合SQFFQ在疾病风险和获益的实际评估中的表现。
This paper aims to develop a data-based Semi-Quantitative Food Frequency Questionnaire (SQFFQ) covering both urban and rural areas in the Chaoshan region of Guangdong Province, China, for the investigation of relationships between food intake and lifestyle-related diseases among middle-aged Chinese. We recruited 417 subjects from the general population and performed an assessment of the diet, using a 3-day weighed dietary record survey. We employed contribution analysis (CA) and multiple regression analysis (MRA) to select food items covering up to a 90% contribution and a 0.90 R2, respectively. The total number of food items consumed was 523 (443 in the urban and 417 in the rural population) and the intake of 29 nutrients was calculated according to the actual consumption by foods/recipes. The CA selected 233, 194 and 183 foods/recipes for the combined, the urban and the rural areas, respectively, and then 196, 157 and 160 were chosen by the MRA. Finally, 125 foods/recipes were selected for the final questionnaire. The frequencies were classified into eight categories and standard portion sizes were also calculated. For adoption of the area-specific SQFFQ, Validity and reproducibility tests are now planned to determine how the combined SQFFQ performs in actual assessment of disease risk and benefit.