Abstract: Analysis of dietary patterns has been used to examine the impact of diet on chronic diseases. The objectives of this study were to identify the dietary pattern among diabetic patients and to investigate the association between patterns and the metabolic risk factors i.e. anthropometric, glucose and lipid abnormalities. In a cross-sectional survey, 170 diabetic patients, both genders were randomly enrolled from Elnoor Hospital. Information about diet was obtained using a 74-item FFQ. Principal components analysis was applied to extract dietary patterns. Linear regression analysis evaluated the associations between the extracted dietary patterns and the metabolic risks. Six components were derived explaining 73.34% of the total variation. The components explained, 22.64, 16.63, 12.38, 10.41, 8.66 and 2.61% of the variation. Component 1 "Transitional pattern" was positively associated with risk factors (r-range 0.556-0.784, p-range 0.022-0.0001). An inverse association was found for Healthy and Traditional patterns (r-range -0.468 to -0.709, p-range 0.05-0.0001, r-range-0.466 to -0.673, p-range 0.05-0.0001), respectively. "Desirable fat pattern" was associated with modestly reduced risks of diabetes. No association was found between miscellanies and snacks patterns and metabolic risk factors. A dietary pattern that includes meat, refined cereals, was associated with increased levels of risk biomarkers, whereas fish, legumes, vegetables, fruits and nuts intake showed the inverse results.