Blanchard CM, Chin MK, Gilhooly CH, Barger K, Matuszek G, Miki AJ, et al. Evaluation of PIQNIQ, a Novel Mobile Application for Capturing Dietary Intake. J Nutr. 2021;151:1347–56.

Neuhouser ML, Tinker L, Shaw PA, Schoeller D, Bingham SA, Horn LV, et al. Use of recovery biomarkers to calibrate nutrient consumption self-reports in the Women’s Health Initiative. Am J Epidemiol. 2008;167:1247–59.

Article  Google Scholar 

Shim JS, Oh K, Kim HC. Dietary assessment methods in epidemiologic studies. Epidemiol Health. 2014;36:e2014009.

Article  Google Scholar 

Carroll RJ, Midthune D, Subar AF, Shumakovich M, Freedman LS, Thompson FE, et al. Taking advantage of the strengths of 2 different dietary assessment instruments to improve intake estimates for nutritional epidemiology. Am J Epidemiol. 2012;175:340–7.

Article  Google Scholar 

Freedman LS, Commins JM, Moler JE, Willett W, Tinker LF, Subar AF, et al. Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for potassium and sodium intake. Am J Epidemiol. 2015;181:473–87.

Article  Google Scholar 

Molag ML, de Vries JH, Ocke MC, Dagnelie PC, van den Brandt PA, Jansen MC, et al. Design characteristics of food frequency questionnaires in relation to their validity. Am J Epidemiol. 2007;166:1468–78.

Article  Google Scholar 

Dahm CC. Correcting measurement error in dietary exposure assessments: no piece of cake. Am J Clin Nutr. 2020;112:11–2.

Article  Google Scholar 

Kirkpatrick SI, Baranowski T, Subar AF, Tooze JA, Frongillo EA. Best practices for conducting and interpreting studies to validate self-report dietary assessment methods. J Acad Nutr Diet. 2019;119:1801–16.

Article  Google Scholar 

Kirkpatrick SI, Vanderlee L, Raffoul A, Stapleton J, Csizmadi I, Boucher BA, et al. Self-report dietary assessment tools used in Canadian research: A scoping review. Adv Nutr. 2017;8:276–89.

Article  Google Scholar 

Subar AF, Thompson FE, Kipnis V, Midthune D, Hurwitz P, McNutt S, et al. Comparative validation of the Block, Willett, and National Cancer Institute food frequency questionnaires: The Eating at America’s Table Study. Am J Epidemiol. 2001;154:1089–99.

CAS  Article  Google Scholar 

Willett WC, Sampson L, Stampfer MJ, Rosner B, Bain C, Witschi J, et al. Reproducibility and validity of a semiquantitative food frequency questionnaire. Am J Epidemiol. 1985;122:51–65.

CAS  Article  Google Scholar 

Rimm EB, Giovannucci EL, Stampfer MJ, Colditz GA, Litin LB, Willett WC. Reproducibility and validity of an expanded self-administered semiquantitative food frequency questionnaire among male health professionals. Am J Epidemiol. 1992;135:1114–26.

CAS  Article  Google Scholar 

Nath SD, Huffman FG. Validation of a semiquantitative food frequency questionnaire to assess energy and macronutrient intakes of Cuban Americans. Int J Food Sci Nutr. 2005;56:309–14.

Article  Google Scholar 

Brenner DR, Boucher BA, Kreiger N, Jenkins D, El-Sohemy A. Dietary patterns in an ethnoculturally diverse population of young Canadian adults. Can J Diet Pr Res. 2011;72:e161–8.

Article  Google Scholar 

Jenkins DJA, Boucher BA, Ashbury FD, Sloan M, Brown P, El-Sohemy A, et al. Effect of current dietary recommendations on weight loss and cardiovascular risk factors. J Am Coll Cardiol. 2017;69:1103–12.

Article  Google Scholar 

Glenn AJ, Boucher BA, Kavcic CC, Khan TA, Paquette M, Kendall CWC, et al. Development of a portfolio diet score and its concurrent and predictive validity assessed by a food frequency questionnaire. Nutrients. 2021;13:2850.

CAS  Article  Google Scholar 

Toronto Public Health. T.O. Health Check. August, 2019. Available at: https://www.toronto.ca/wp-content/uploads/2019/11/92ef-TOHealthCheck_2019.pdf.

Statistics Canada. Focus on Geography Series, 2016 Census. Statistics Canada Catalogue no. 98-404-X2016001. Ottawa, Ontario. Data products, 2016 Census. 2017. Available at: https://www12.statcan.gc.ca/census-recensement/2016/as-sa/fogs-spg/Facts-can-eng.cfm?Lang=Eng&GK=CAN&GC=01&TOPIC=1.

Garcia-Bailo B, Brenner DR, Nielsen D, Lee HJ, Domanski D, Kuzyk M, et al. Dietary patterns and ethnicity are associated with distinct plasma proteomic groups. Am J Clin Nutr. 2012;95:352–61.

CAS  Article  Google Scholar 

McCullough ML, Wang Y, Hartman TJ, Hodge RA, Flanders WD, Stevens VL, et al. The Cancer Prevention Study-3 FFQ is a reliable and valid measure of nutrient intakes among racial/ethnic subgroups, compared with 24-hour recalls and biomarkers. J Nutr. 2021;151:636–48.

Article  Google Scholar 

Kristal AR, Feng Z, Coates RJ, Oberman A, George V. Associations of race/ethnicity, education, and dietary intervention with the validity and reliability of a food frequency questionnaire: The Women’s Health Trial Feasibility Study in Minority Populations. Am J Epidemiol. 1997;146:856–69.

CAS  Article  Google Scholar 

Holmes MD, Powell IJ, Campos H, Stampfer MJ, Giovannucci EL, Willett WC. Validation of a food frequency questionnaire measurement of selected nutrients using biological markers in African-American men. Eur J Clin Nutr. 2007;61:1328–36.

CAS  Article  Google Scholar 

Labonte ME, Cyr A, Baril-Gravel L, Royer MM, Lamarche B. Validity and reproducibility of a web-based, self-administered food frequency questionnaire. Eur J Clin Nutr. 2012;66:166–73.

Article  Google Scholar 

Willett WC, Howe GR, Kushi LH. Adjustment for total energy intake in epidemiologic studies. Am J Clin Nutr 1997;65(4 Suppl):1220S–8S. discussion 9S-31S.

CAS  Article  Google Scholar 

Willett WC Nutritional epidemiology. 3rd ed. New York: Oxford University Press; 2012.

Ahn Y, Kwon E, Shim JE, Park MK, Joo Y, Kimm K, et al. Validation and reproducibility of food frequency questionnaire for Korean genome epidemiologic study. Eur J Clin Nutr. 2007;61:1435–41.

CAS  Article  Google Scholar 

Baddour SE, Virasith H, Vanstone C, Forest JC, Giguere Y, Charland M, et al. Validity of the Willett food frequency questionnaire in assessing the iron intake of French-Canadian pregnant women. Nutrition 2013;29:752–6.

Article  Google Scholar 

Abdelmagid SA, Nielsen DE, Badawi A, El-Sohemy A, Mutch DM, Ma DW. Circulating concentrations and relative percent composition of trans fatty acids in healthy Canadian young adults between 2004 and 2010: a cross-sectional study. CMAJ Open 2017;5:E130–E6.

Article  Google Scholar 

Stram DO, Hankin JH, Wilkens LR, Pike MC, Monroe KR, Park S, et al. Calibration of the dietary questionnaire for a multiethnic cohort in Hawaii and Los Angeles. Am J Epidemiol. 2000;151:358–70.

CAS  Article  Google Scholar 

Mayer-Davis EJ, Vitolins MZ, Carmichael SL, Hemphill S, Tsaroucha G, Rushing J, et al. Validity and reproducibility of a food frequency interview in a Multi-Cultural Epidemiology Study. Ann Epidemiol. 1999;9:314–24.

CAS  Article  Google Scholar 

Cui Q, Xia Y, Wu Q, Chang Q, Niu K, Zhao Y. Validity of the food frequency questionnaire for adults in nutritional epidemiological studies: A systematic review and meta-analysis. Crit Rev Food Sci Nutr. 2021. https://doi.org/10.1080/10408398.2021.1966737.

Serra-Majem L, Frost Andersen L, Henrique-Sanchez P, Doreste-Alonso J, Sanchez-Villegas A, Ortiz-Andrelluchi A, et al. Evaluating the quality of dietary intake validation studies. Br J Nutr. 2009;102(Suppl 1):S3–9.

CAS  Article  Google Scholar 

Kelemen LE, Anand SS, Vuksan V, Yi Q, Teo KK, Devanesen S, et al. Development and evaluation of cultural food frequency questionnaires for South Asians, Chinese, and Europeans in North America. J Am Diet Assoc. 2003;103:1178–84.

Article  Google Scholar 

McLean RM, Farmer VL, Nettleton A, Cameron CM, Cook NR, Campbell NRC, et al. Assessment of dietary sodium intake using a food frequency questionnaire and 24-hour urinary sodium excretion: A systematic literature review. J Clin Hypertens (Greenwich). 2017;19:1214–30.

Article  Google Scholar 

Horne JR, Gilliland J, Madill J. Assessing the Validity of the Past-Month, Online Canadian Diet History Questionnaire II Pre and Post Nutrition Intervention. Nutrients. 2020;12:1454.

Thorpe MG, Kestin M, Riddell LJ, Keast RS, McNaughton SA. Diet quality in young adults and its association with food-related behaviours. Public Health Nutr. 2014;17:1767–75.

Article  Google Scholar 

Rhee JJ, Sampson L, Cho E, Hughes MD, Hu FB, Willett WC. Comparison of methods to account for implausible reporting of energy intake in epidemiologic studies. Am J Epidemiol. 2015;181:225–33.

Article  Google Scholar 

Henriquez-Sanchez P, Sanchez-Villegas A, Doreste-Alonso J, Ortiz-Andrellucchi A, Pfrimer K, Serra-Majem L. Dietary assessment methods for micronutrient intake: a systematic review on vitamins. Br J Nutr. 2009;102(Suppl 1):S10–37.

CAS  Article  Google Scholar 

Boucher B, Cotterchio M, Kreiger N, Nadalin V, Block T, Block G. Validity and reliability of the Block98 food-frequency questionnaire in a sample of Canadian women. Public Health Nutr. 2006;9:84–93.

Article  Google Scholar 

Guasch-Ferre M, Bhupathiraju SN, Hu FB. Use of Metabolomics in Improving Assessment of Dietary Intake. Clin Chem. 2018;64:82–98.

CAS  Article  Google Scholar