Literature DB >> 15331340

Development of a semi-quantitative food frequency questionnaire to determine variation in nutrient intakes between urban and rural areas of Chongqing, China.

Zi-Yuan Zhou1, Toshiro Takezaki, Bao-Qing Mo, Hua-Ming Sun, Wen-Chang Wang, Li-Ping Sun, Sheng-Xue Liu, Lin Ao, Guo-Hua Cheng, Ying-Ming Wang, Jia Cao, Kazuo Tajima.   

Abstract

Nationwide surveys of food and nutrient intake in China have revealed geographical variation between urban and rural areas. This study developed a semi-quantitative food frequency questionnaire (SQFFQ) for cancer risk assessment suitable for both urban and rural populations by conducting a survey of food intake in Chongqing, China. We recruited 100 urban and 104 rural healthy residents aged from 35 to 55 years in Chongqing, and collected dietary data with 3-day weighed records to assist in the development of the SQFFQ. The intake of 35 nutrients was calculated according to Standard Food Composition Tables for China and Japan. For each nutrient estimated by percentage contribution analysis (CA) and multiple regression analysis (MRA), foods with up to a 90% contribution or a 0.90 cumulative R(2) were selected as items for SQFFQs. The food items of the combined SQFFQ were selected from all items listed in either urban or rural SQFFQs. Mean intake of energy, protein and carbohydrate did not differ between the urban and rural residents. The latter consumed more fat than their urban counterparts. We selected 119 food items for the combined SQFFQ, comprising 22 specific items for the urban SQFFQ, 6 for the rural, and 78 common and 13 additional items. The combined SQFFQ covered 33 nutrients with up to a 90% contribution in each area. We were able to develop a data-based SQFFQ that can estimate nutrient intake of both urban and rural populations, with suitable coverage rates. Further reliability and reproducibility tests are now needed to assess its applicability.

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Year:  2004        PMID: 15331340

Source DB:  PubMed          Journal:  Asia Pac J Clin Nutr        ISSN: 0964-7058            Impact factor:   1.662


  5 in total

1.  Development of a semi-quantitative food frequency questionnaire for middle-aged inhabitants in the Chaoshan area, China.

Authors:  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
Journal:  World J Gastroenterol       Date:  2005-07-14       Impact factor: 5.742

2.  High Intake of Energy and Fat in Southwest Chinese Women with PCOS: A Population-Based Case-Control Study.

Authors:  Jing Zhang; Ying Liu; Xiaofang Liu; Liangzhi Xu; Lingling Zhou; Liulin Tang; Jing Zhuang; Wenqi Guo; Rong Hu
Journal:  PLoS One       Date:  2015-05-20       Impact factor: 3.240

3.  Validity and reproducibility of a revised semi-quantitative food frequency questionnaire (SQFFQ) for women of age-group 12-44 years in Chengdu.

Authors:  Ying Tang; Ying Liu; Liangzhi Xu; Yujian Jia; Dan Shan; Wenjuan Li; Xin Pan; Deying Kang; Chengyu Huang; Xiaosong Li; Jing Zhang; Ying Hu; Lingli Konglin; Jing Zhuang
Journal:  J Health Popul Nutr       Date:  2015-03       Impact factor: 2.000

4.  Maternal lifestyle and nutritional status in relation to pregnancy and infant health outcomes in Western China: protocol for a prospective cohort study.

Authors:  Li Tang; Xiong-Fei Pan; Andy H Lee; Colin W Binns; Chun-Xia Yang; Xin Sun
Journal:  BMJ Open       Date:  2017-06-19       Impact factor: 2.692

5.  Dietary patterns during pregnancy and risk of gestational diabetes: a prospective cohort study in Western China.

Authors:  Jonathan K L Mak; Ngoc Minh Pham; Andy H Lee; Li Tang; Xiong-Fei Pan; Colin W Binns; Xin Sun
Journal:  Nutr J       Date:  2018-11-20       Impact factor: 3.271

  5 in total

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