Newby, P. K.Hu, Frank B.Rimm, Eric Bruce::0ab2926c8242f35e5a982e3cf59f4987::600Smith-Warner, Stephanie A.Feskanich, DianeSampson, LauraWillett, Walter2019-08-262003Newby, PK, Frank B Hu, Eric B Rimm, Stephanie A Smith-Warner, Diane Feskanich, Laura Sampson, and Walter C Willett. 2003. “Reproducibility and Validity of the Diet Quality Index Revised as Assessed by Use of a Food-Frequency Questionnaire.” The American Journal of Clinical Nutrition 78 (5): 941–49. https://doi.org/10.1093/ajcn/78.5.941.0002-91651938-3207http://nrs.harvard.edu/urn-3:HUL.InstRepos:41249130Background: The Diet Quality Index Revised (DQI-R) is a dietary assessment instrument based on 10 dietary recommendations reflecting dietary guidelines and policy in the United States. Objective: The objective of this study was to assess the reproducibility and validity of the DQI-R as measured by use of food-frequency questionnaires (FFQs). Design: Diet was assessed separately by two FFQs at a 1-y interval and by two 1-wk diet records. DQI-R scores were computed from each method. Venous blood specimens were collected for measurement of dietary biomarkers. Participants (n = 127) were men aged 40-75 y in a validation study of the Health Professionals Follow-up Study. Results: Mean DQI-R scores were 69.5 for FFQ-1, 67.2 for FFQ-2, and 62.0 for the diet records out of a possible score of 100. The reproducibility correlation for the 2 FFQ scores was 0.72. Correlations between scores for each of the 2 FFQs and diet records were 0.66 (FFQ-1) and 0.72 (FFQ-2). DQI-R scores from FFQ-2 were directly correlated with plasma biochemical measurements of alpha-carotene (r = 0.43, P < 0.0005), beta-carotene (r = 0.35, P < 0.005), lutein (r = 0.31, P < 0.005), and alpha-tocopherol (r = 0.25, P < 0.05) and were inversely correlated with plasma total cholesterol (r = -0.22, P < 0.05). Conclusions: These data indicate reasonable reproducibility and validity of the DQI-R as assessed by an FFQ. Future studies are needed to examine whether this index and other instruments of diet quality can reliably predict disease outcomes.en-USJournal Article2019-08-2610.1093/ajcn/78.5.941