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Objective: American Indian and Alaska Native (AI/AN) persons are commonly misclassified in epidemiologic and administrative data sets. The race-corrected hepatitis C virus (HCV)–related mortality rate among AI/AN persons in the Northwest United States (Idaho, Oregon, and Washington State) is unknown. We quantified the disparity in HCV-related mortality between AI/AN persons and non-Hispanic white (NHW) persons in the Northwest during 2006-2012 after correcting misclassified AI/AN race. Methods: After conducting probabilistic record linkage between death records and the Northwest Tribal Registry, we calculated HCV-related mortality rates for AI/AN and NHW persons by using National Center for Health Statistics bridged-race estimates standardized to the US 2000 standard population. Results: The 2006-2012 aggregate age-adjusted HCV-related mortality rate per 100 000 population in the Northwest was 19.6 (95% confidence interval [CI], 17.3-22.2) for AI/AN persons and 5.9 (95% CI, 5.7-6.1) for NHW persons (rate ratio [RR] = 3.3; 95% CI, 3.0-3.8). The disparity was larger among females (RR = 4.6; 95% CI, 3.8-5.5) than among males (RR = 2.9; 95% CI, 2.5-3.4). Conclusion: The disproportionate rate of HCV-related mortality among AI/AN persons in the Northwest highlights the need to expand HCV education, screening, and treatment among this population. [ABSTRACT FROM AUTHOR]

Twenty-four-hour dietary recalls provide high-quality intake data but have been prohibitively expensive for large epidemiologic studies. This study's goal was to assess whether the web-based Automated Self-Administered 24-Hour Recall (ASA24) performs similarly enough to the standard interviewer-administered, Automated Multiple-Pass Method (AMPM) 24-hour dietary recall to be considered a viable alternative. In 2010-2011, 1,081 adults from 3 integrated health systems in Detroit, Michigan; Marshfield,Wisconsin; and Kaiser-Permanente Northern California participated in a field trial. A quota design ensured a diverse sample by sex, age, and race/ethnicity. Each participant was asked to complete 2 recalls and was randomly assigned to 1 of 4 protocols differing by type of recall and administration order. For energy, the mean intakes were 2,425 versus 2,374 kcal for men and 1,876 versus 1,906 kcal for women by AMPM and ASA24, respectively. Of 20 nutrients/food groups analyzed and controlling for false discovery rate, 87%were judged equivalent at the 20% bound. ASA24 was preferred overAMPM by 70% of the respondents. Attrition was lower in the ASA24/AMPM study group than in the AMPM/ASA24 group, and it was lower in the ASA24/ASA24 group than in the AMPM/AMPM group. ASA24 offers the potential to collect high-quality dietary intake information at low cost with less attrition. [ABSTRACT FROM AUTHOR]

Studies of diet and disease risk in India and among other Asian-Indian populations are hindered by the need for a comprehensive dietary assessment tool to capture data on the wide variety of food and nutrient intakes across different regions and ethnic groups. The nutritional component of the India Health Study, a multicentre pilot cohort study, included 3908 men and women, aged 35–69 years, residing in three regions of India (New Delhi in the north, Mumbai in the west and Trivandrum in the south). We developed a computer-based, interviewer-administered dietary assessment software known as the ‘NINA-DISH (New Interactive Nutrition Assistant – Diet in India Study of Health)’, which consisted of four sections: (1) a diet history questionnaire with defined questions on frequency and portion size; (2) an open-ended section for each mealtime; (3) a food-preparer questionnaire; (4) a 24 h dietary recall. Using the preferred meal-based approach, frequency of intake and portion size were recorded and linked to a nutrient database that we developed and modified from a set of existing international databases containing data on Indian foods and recipes. The NINA-DISH software was designed to be easily adaptable and was well accepted by the interviewers and participants in the field. A predominant three-meal eating pattern emerged; however, patterns in the number of foods reported and the primary contributors to macro- and micronutrient intakes differed by region and demographic factors. The newly developed NINA-DISH software provides a much-needed tool for measuring diet and nutrient profiles across the diverse populations of India with the potential for application in other South Asian populations living throughout the world. [ABSTRACT FROM PUBLISHER]