Document Detail

Development of a semi-quantitative food frequency questionnaire for middle-aged inhabitants in the Chaoshan area, China.
MedLine Citation:
PMID:  15996034     Owner:  NLM     Status:  MEDLINE    
AIM: 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. METHODS: We recruited 417 subjects from the general population and performed an assessment of the diet, using a 3-d 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 R(2), 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. RESULTS: 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. CONCLUSION: 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.
Feng-Yan Song; Takezaki Toshiro; Ke Li; Ping Yu; Xu-Kai Lin; He-Lin Yang; Xiao-Ling Deng; Yu-Qi Zhang; Lai-Wen Lv; Xin-En Huang; Tajima Kazuo
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  World journal of gastroenterology : WJG     Volume:  11     ISSN:  1007-9327     ISO Abbreviation:  World J. Gastroenterol.     Publication Date:  2005 Jul 
Date Detail:
Created Date:  2005-07-04     Completed Date:  2005-10-04     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  100883448     Medline TA:  World J Gastroenterol     Country:  China    
Other Details:
Languages:  eng     Pagination:  4078-84     Citation Subset:  IM    
Department of Preventive Medicine, Shantou Medical University, Shantou 515041, Guangdong Province, China.
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MeSH Terms
Body Mass Index
Food Preferences / physiology*
Middle Aged*
Nutritive Value
Reference Values

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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