The role of dietary factors in the etiology of several cancers has been studied extensively in recent years, including colorectal cancer (Bazensky I, Shoobridge-Moran C, Yoder LH, 2007). Cohort studies as well as case-control studies have been designed; they include progressively larger numbers of topics and are based on increasingly detailed information (Manjinder S. Sandhu, Ian R. White, & Klim McPherson, 2001). However, considerations must be made when selecting appropriate dietary assessment methods for these studies. Accurate estimates of usual dietary intake remain a challenge in the study of diet-disease relationships (Jackson et. al, 2011). Indeed, dietary assessments could be affected by a number of factors such as motivation to complete the assessments and reporting biases associated with unstructured eating habits, concerns about body image and weight status (Livingstone MB et al., 2009). In addition to this, the study design, outcomes of interest, and available resources should be considered when selecting an appropriate dietary assessment tool for a particular study (Jyh Eiin Wong et. al , 2012). In epidemiological studies, the Food Frequency Questionnaire (FFQ) is an assessment method often chosen to estimate dietary intake and can provide valid and reliable estimates of usual dietary intake in various populations (Navarro A, Osella AR, Guerra V et al, 2001), while other possible and precise methods such as 24-hour recalls and dietary records do not reflect past diet or usual intake and are generally expensive (Lin L et.al, 2013). Additionally, although the tool is more practical and frequently used to assess individual diets in large cohorts (easy to administer...... middle of document...... dietary habits of a population at Otherwise, there is no universally accepted FFQ that can be used for all populations. It has been suggested that elucidation of diet-disease relationships requires dietary assessment methods that can describe and quantify in a manner. adequate inputs, minimize systematic errors, and provide reasonably accurate estimates of variability between individuals and/or groups (Kaaks R, Riboli E, 1997; Carroll RJ et al. 1997 and Lin L et al., 2013 Therefore, it is essential that any FFQ is reliable and valid for use in the population of interest and is also designed to meet the objectives of specific study populations and contain an up-to-date list of foods (Jyh Eiin Wong et ). coll., 2012). In general, validation correlations vary depending on the nutrient, but a range generally between 0.40 and 0.70 may be acceptable (Lin L et.al, 2013).