Tina H T Chiu1, Hui-Ya Huang2, Kuan-Ju Chen3, Yu-R U Wu2, Jason P C Chiu4, Yi-Hwei Li5, Brian C-H Chiu6, Chin-Lon Lin1, Ming-Nan Lin2. 1. 1Medical Mission,Tzu Chi Foundation,Hualien,Taiwan. 2. 2Department of Family Medicine,Buddhist Dalin Tzu Chi General Hospital,No. 2 Min-Sheng Road,Dalin Town,Chiayi County,Taiwan62247. 3. 3Department of Hospitality Management,Chung-Hwa University of Medical Technology,Tainan,Taiwan. 4. 4Department of Computer Science,University of British Columbia,Vancouver,BC,Canada. 5. 5Department of Public Health,Tzu Chi University,Hualien,Taiwan. 6. 6Department of Health Studies,University of Chicago,Chicago,IL,USA.
Abstract
OBJECTIVE: To assess the relative validity and reproducibility of the quantitative FFQ used in the Tzu Chi Health Study (TCHS). DESIGN: The reproducibility was evaluated by comparing the baseline FFQ with the 2-year follow-up FFQ. The validity was evaluated by comparing the baseline FFQ with 3 d dietary records and biomarkers (serum folate and vitamin B12). Median comparison, cross-classification and Spearman correlation with and without energy adjustment and deattenuation for day-to-day variation were assessed. SETTING: TCHS is a prospective cohort containing a high proportion of true vegetarians and part-time vegetarians (regularly consuming a vegetarian diet without completely avoiding meat). SUBJECT: Subsets of 103, seventy-eight and 1528 TCHS participants were included in the reproducibility, dietary record-validity and biomarker-validity studies, respectively. RESULTS: Correlations assessing the reproducibility for repeat administrations of the FFQ were in the range of 0·46-0·65 for macronutrients and 0·35-0·67 for micronutrients; the average same quartile agreement was 40%. The correlation between FFQ and biomarkers was 0·41 for both vitamin B12 and folate. Moderate to good correlations between the baseline FFQ and dietary records were found for energy, protein, carbohydrate, saturated and monounsaturated fat, fibre, vitamin C, vitamin A, K, Ca, Mg, P, Fe and Zn (average crude correlation: 0·47 (range: 0·37-0·66); average energy-adjusted correlation: 0·43 (range: 0·38-0·55); average energy-adjusted deattenuated correlation: 0·50 (range: 0·44-0·66)) with same quartile agreement rate of 39% (range: 35-45%), while misclassification to the extreme quartile was rare (average: 4% (range: 0-6%)). CONCLUSIONS: The FFQ is a reliable and valid tool to rank relative intake of major nutrients for TCHS participants.
OBJECTIVE: To assess the relative validity and reproducibility of the quantitative FFQ used in the Tzu Chi Health Study (TCHS). DESIGN: The reproducibility was evaluated by comparing the baseline FFQ with the 2-year follow-up FFQ. The validity was evaluated by comparing the baseline FFQ with 3 d dietary records and biomarkers (serum folate and vitamin B12). Median comparison, cross-classification and Spearman correlation with and without energy adjustment and deattenuation for day-to-day variation were assessed. SETTING: TCHS is a prospective cohort containing a high proportion of true vegetarians and part-time vegetarians (regularly consuming a vegetarian diet without completely avoiding meat). SUBJECT: Subsets of 103, seventy-eight and 1528 TCHS participants were included in the reproducibility, dietary record-validity and biomarker-validity studies, respectively. RESULTS: Correlations assessing the reproducibility for repeat administrations of the FFQ were in the range of 0·46-0·65 for macronutrients and 0·35-0·67 for micronutrients; the average same quartile agreement was 40%. The correlation between FFQ and biomarkers was 0·41 for both vitamin B12 and folate. Moderate to good correlations between the baseline FFQ and dietary records were found for energy, protein, carbohydrate, saturated and monounsaturated fat, fibre, vitamin C, vitamin A, K, Ca, Mg, P, Fe and Zn (average crude correlation: 0·47 (range: 0·37-0·66); average energy-adjusted correlation: 0·43 (range: 0·38-0·55); average energy-adjusted deattenuated correlation: 0·50 (range: 0·44-0·66)) with same quartile agreement rate of 39% (range: 35-45%), while misclassification to the extreme quartile was rare (average: 4% (range: 0-6%)). CONCLUSIONS: The FFQ is a reliable and valid tool to rank relative intake of major nutrients for TCHS participants.
Authors: Michael J Orlich; Tina H T Chiu; Preet K Dhillon; Timothy J Key; Gary E Fraser; Krithiga Shridhar; Sutapa Agrawal; Sanjay Kinra Journal: Adv Nutr Date: 2019-11-01 Impact factor: 8.701
Authors: Rosalind Fallaize; Hannah Forster; Anna L Macready; Marianne C Walsh; John C Mathers; Lorraine Brennan; Eileen R Gibney; Michael J Gibney; Julie A Lovegrove Journal: J Med Internet Res Date: 2014-08-11 Impact factor: 5.428
Authors: Clare Whitton; Jolene Chien Yee Ho; Zoey Tay; Salome A Rebello; Yonghai Lu; Choon Nam Ong; Rob M van Dam Journal: Nutrients Date: 2017-09-25 Impact factor: 5.717
Authors: Raymond Y Lo; Yen-Chieh Lo; Shu-Cin Chen; Yu-Ying Li; Ya-Ling Yang; Yu-Ling Chang; Huei-Chuan Sung; Tina H T Chiu; Joshua O S Goh Journal: Ci Ji Yi Xue Za Zhi Date: 2017 Apr-Jun
Authors: Tina H T Chiu; Hui-Ya Huang; Yen-Feng Chiu; Wen-Harn Pan; Hui-Yi Kao; Jason P C Chiu; Ming-Nan Lin; Chin-Lon Lin Journal: PLoS One Date: 2014-02-11 Impact factor: 3.240
Authors: Hannah Forster; Rosalind Fallaize; Caroline Gallagher; Clare B O'Donovan; Clara Woolhead; Marianne C Walsh; Anna L Macready; Julie A Lovegrove; John C Mathers; Michael J Gibney; Lorraine Brennan; Eileen R Gibney Journal: J Med Internet Res Date: 2014-06-09 Impact factor: 5.428