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Purpose.The goal of the study was to characterize the dietary patterns of adult men and women.Design.The study used a cross-sectional analysis of food consumption behaviors and nutrient intake measured from 1984 through 1988.Setting.The Framingham Offspring/Spouse Study, Framingham, Massachusetts.Subjects.The population-based sample comprised 1831 men and 1828 women between 20 and 70 years of age.Measures.Dietary patterns were defined by cluster analyses, which used the estimates of usual daily food intake from food frequency questionnaires, and the patterns were compared with Food Guide Pyramid recommendations. Nutrient intakes were independently estimated from 24-hour recalls and compared with Year 2000 nutrition recommendations.Results.Cluster analyses identified five groups of men and five groups of women with distinctive dietary patterns. Men differed on intakes of all food groups except vegetables and snacks plus sweetened beverages. Specific dietary behaviors, including low intakes of whole grains, fruits, vegetables, and other complex carbohydrates; high intakes of beer and liquor; and high intakes of high-fat animal foods warrant targeted intervention messages for men. Women's patterns differed across all food groups except red meats and fattier poultry and beer. Dietary behaviors of women that deserve attention include low fruit, vegetable, starch, and dairy intakes; chronic dieting; high alcohol intake; and sources of hidden fats. No cluster met the current recommendations for food and nutrient intake.Conclusions.Distinct dietary patterns in Framingham men and women vary in compliance with national nutrition and health policy objectives and provide insights for developing behavioral interventions to improve food and nutrient intake.

AIM: Million Veteran Program (MVP) is the largest ongoing mega-cohort biobank program in the US with 570,131 enrollees as of May 2017. The primary aim is to describe demographics, military service, and major diseases and comorbidities of the MVP cohort. Our secondary aim is to examine body mass index (BMI), a proxy for general health, among enrollees. MATERIALS AND METHOD: The study population consists of Veterans who actively use the Veterans Health Administration in the US. Data evaluated in this paper combine health information from multiple sources to provide the most comprehensive demographic profile and information on height and weight of MVP enrollees. A standardized cleaning algorithm was used to curate the demographic variables for each participant in MVP. For height and weight, we derived a final data point for each participant to evaluate BMI. STATISTICAL ANALYSIS USED: Multivariable logistic regression was used to compare the differences in BMI categories across enrollment years adjusting for gender, race, and age. P < 0.05 was considered statistically significant. All analyses were conducted using Statistical Analysis System 9.2. RESULTS: The MVP cohort consists of 90.4% of males with an average age of 61.9 years (standard deviation [SD] = 13.9). MVP is the largest multiethnic biobank cohort within the Veteran population with 73.9% White, 19.0% Black, and 6.5% Hispanic. The most common self-reported disease was hypertension (62.6%) for males and depression (47.5%) for females. Mean BMI was 29.7 kg/m(2) (SD = 5.8) with 38.2% obese and 42.3% overweight. CONCLUSIONS: Our findings suggest that demographic representation in MVP is similar to the Veterans Health Administration population and contrasts with the overall National Health and Nutrition Examination Survey US population. The prevalence of overweight and obese is high among US Veterans, and future studies will examine the role of BMI and disease risk in the Veteran population.

The Million Veteran Program (MVP) was established in 2011 as a national research initiative to determine how genetic variation influences the health of U.S. military veterans. We genotyped 312,571 MVP participants using a custom biobank array and linked the genetic data to laboratory and clinical phenotypes extracted from electronic health records covering a median of 10.0 years of follow-up. Among 297,626 veterans with at least 1 blood lipid measurement including 57,332 blacks and 24,743 Hispanics, we tested up to ~32 million variants for association with lipid levels and identified 118 novel genome-wide significant loci after meta-analysis with data from the Global Lipids Genetics Consortium (total N > 600,000). Through a focus on mutations predicted to result in a loss of gene function and a phenome-wide association study, we propose novel indications for pharmaceutical inhibitors targeting PCSK9 (abdominal aortic aneurysm), ANGPTL4 (type 2 diabetes), and PDE3B (triglycerides and coronary disease).